commit 70cb81e982a6a593fbcc4b7de83dc6fbe67e4de4 Author: wehub-resource-sync Date: Mon Jul 13 12:45:24 2026 +0800 chore: import upstream snapshot with attribution diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000..5b883ba --- /dev/null +++ b/.dockerignore @@ -0,0 +1,42 @@ +# Git +.git +.gitignore +.github + +# Rust +target/ + +# Documentation +*.md +docs/ +CHANGELOG.md +SECURITY.md +CODE_OF_CONDUCT.md +CONTRIBUTING.md + +# IDE +.vscode/ +.idea/ +*.swp +*.swo +*~ + +# OS +.DS_Store +Thumbs.db + +# Docker +docker/ +Dockerfile* +docker-compose*.yml +.dockerignore + +# Test artifacts +*.log +*.tmp + +# Build artifacts +*.o +*.so +*.dylib +*.dll diff --git a/.editorconfig b/.editorconfig new file mode 100644 index 0000000..6b9a49c --- /dev/null +++ b/.editorconfig @@ -0,0 +1,24 @@ +# EditorConfig helps maintain consistent coding styles +# https://editorconfig.org + +root = true + +[*] +charset = utf-8 +end_of_line = lf +insert_final_newline = true +trim_trailing_whitespace = true +indent_style = space +indent_size = 4 + +[*.rs] +indent_size = 4 + +[*.{yml,yaml}] +indent_size = 2 + +[*.md] +trim_trailing_whitespace = false + +[Makefile] +indent_style = tab diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..49a174d --- /dev/null +++ b/.gitattributes @@ -0,0 +1,28 @@ +# Auto detect text files and perform LF normalization +* text=auto + +# Rust source files +*.rs text eol=lf +*.toml text eol=lf + +# Documentation +*.md text eol=lf +*.txt text eol=lf + +# Scripts +*.sh text eol=lf + +# Binary files +*.mv2 binary +*.mv2e binary +*.pdf binary +*.png binary +*.jpg binary +*.jpeg binary +*.gif binary +*.ico binary +*.woff binary +*.woff2 binary + +# Prevent showing Cargo.lock diffs +Cargo.lock linguist-generated=true diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml new file mode 100644 index 0000000..3e09e8d --- /dev/null +++ b/.github/FUNDING.yml @@ -0,0 +1,3 @@ +# These are supported funding model platforms + +github: [memvid] diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md new file mode 100644 index 0000000..ec2db97 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/bug_report.md @@ -0,0 +1,45 @@ +--- +name: Bug Report +about: Report a bug to help us improve Memvid +title: '[BUG] ' +labels: 'bug' +assignees: '' +--- + +## Bug Description +A clear and concise description of the bug. + +## Steps to Reproduce +1. +2. +3. + +## Expected Behavior +What you expected to happen. + +## Actual Behavior +What actually happened. + +## Environment +- **OS**: [e.g., macOS 14.0, Ubuntu 22.04, Windows 11] +- **Rust Version**: [e.g., 1.85.0] +- **Memvid Version**: [e.g., 2.0.0] +- **Features Enabled**: [e.g., lex, vec, clip] + +## Minimal Reproducible Example +```rust +// Code to reproduce the issue +``` + +## Error Output +``` +// Paste any error messages or stack traces here +``` + +## Additional Context +Any other context about the problem (screenshots, logs, etc.) + +## Checklist +- [ ] I have searched existing issues for duplicates +- [ ] I have tested with the latest version +- [ ] I can reproduce this consistently diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml new file mode 100644 index 0000000..cdb2b8e --- /dev/null +++ b/.github/ISSUE_TEMPLATE/config.yml @@ -0,0 +1,11 @@ +blank_issues_enabled: false +contact_links: + - name: Questions & Discussions + url: https://github.com/memvid/memvid/discussions + about: Ask questions and discuss ideas with the community + - name: Documentation + url: https://docs.memvid.com + about: Read the official documentation + - name: Discord Community + url: https://discord.gg/2mynS7fcK7 + about: Join our Discord for real-time chat diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md new file mode 100644 index 0000000..72ce259 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/feature_request.md @@ -0,0 +1,32 @@ +--- +name: Feature Request +about: Suggest a new feature for Memvid +title: '[FEATURE] ' +labels: 'enhancement' +assignees: '' +--- + +## Feature Description +A clear and concise description of the feature you'd like. + +## Problem Statement +What problem does this feature solve? Why is it needed? + +## Proposed Solution +Describe how you envision this feature working. + +## Example Usage +```rust +// How would this feature be used? +``` + +## Alternatives Considered +What alternative solutions or features have you considered? + +## Additional Context +Any other context, mockups, or examples. + +## Checklist +- [ ] I have searched existing issues/discussions for similar requests +- [ ] This feature aligns with Memvid's goals (portable, single-file AI memory) +- [ ] I am willing to help implement this feature diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md new file mode 100644 index 0000000..3c38c48 --- /dev/null +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -0,0 +1,42 @@ +## Description +Brief description of the changes in this PR. + +## Related Issue +Fixes #(issue number) + +## Type of Change +- [ ] Bug fix (non-breaking change that fixes an issue) +- [ ] New feature (non-breaking change that adds functionality) +- [ ] Breaking change (fix or feature that would cause existing functionality to change) +- [ ] Documentation update +- [ ] Performance improvement +- [ ] Code refactoring (no functional changes) + +## Changes Made +- +- +- + +## Testing +- [ ] I have added tests that prove my fix/feature works +- [ ] All existing tests pass (`cargo test`) +- [ ] I have tested on my local machine + +## Documentation +- [ ] I have updated relevant documentation +- [ ] I have added doc comments for new public APIs +- [ ] CHANGELOG.md has been updated (if applicable) + +## Checklist +- [ ] My code follows the project's style guidelines +- [ ] I have performed a self-review of my code +- [ ] I have commented my code where necessary +- [ ] My changes generate no new warnings +- [ ] I have run `cargo clippy` and addressed any issues +- [ ] I have run `cargo fmt` to format my code + +## Screenshots (if applicable) +Add screenshots to help explain your changes. + +## Additional Notes +Any additional information reviewers should know. diff --git a/.github/dependabot.yml.disable b/.github/dependabot.yml.disable new file mode 100644 index 0000000..505e9ed --- /dev/null +++ b/.github/dependabot.yml.disable @@ -0,0 +1,31 @@ +version: 2 +updates: + - package-ecosystem: cargo + directory: / + schedule: + interval: weekly + cooldown: # applies only to version-updates (not security-updates) + default-days: 7 + ignore: + - dependency-name: "bincode" + versions: [">=3.0.0"] # unsupported since v3 + - package-ecosystem: docker + directories: + - docker/cli + - docker/core + schedule: + interval: weekly + cooldown: + default-days: 7 + - package-ecosystem: docker-compose + directory: docker/core + schedule: + interval: weekly + cooldown: + default-days: 7 + - package-ecosystem: github-actions + directory: / + schedule: + interval: weekly + cooldown: # https://blog.yossarian.net/2025/11/21/We-should-all-be-using-dependency-cooldowns + default-days: 7 diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 0000000..d626787 --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,63 @@ +name: CI + +on: + push: + branches: [main] + pull_request: + branches: [main] + +env: + CARGO_TERM_COLOR: always + RUST_BACKTRACE: 1 + +jobs: + test: + name: Test + runs-on: ${{ matrix.os }} + strategy: + matrix: + os: [ubuntu-latest, macos-latest, windows-latest] + rust: [stable] + + steps: + - uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1 + + - name: Install Rust + uses: dtolnay/rust-toolchain@stable + with: + toolchain: ${{ matrix.rust }} + + - name: Cache cargo + uses: actions/cache@9255dc7a253b0ccc959486e2bca901246202afeb # v5.0.1 + with: + path: | + ~/.cargo/bin/ + ~/.cargo/registry/index/ + ~/.cargo/registry/cache/ + ~/.cargo/git/db/ + target/ + key: ${{ runner.os }}-cargo-${{ hashFiles('**/Cargo.toml') }} + + - name: Build + run: cargo build --verbose + + - name: Run tests + run: cargo test --verbose ${{ runner.os == 'Windows' && '-- --test-threads=1' || '' }} + + lint: + name: Lint + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1 + + - name: Install Rust + uses: dtolnay/rust-toolchain@stable + + - name: Install components + run: rustup component add rustfmt clippy + + - name: Check formatting + run: cargo fmt --all -- --check + + - name: Clippy + run: cargo clippy -- -D warnings -A clippy::non_std_lazy_statics diff --git a/.github/workflows/docker-release.yml b/.github/workflows/docker-release.yml new file mode 100644 index 0000000..648fa87 --- /dev/null +++ b/.github/workflows/docker-release.yml @@ -0,0 +1,50 @@ +name: Docker Release + +on: + push: + tags: + - 'v*' + workflow_dispatch: + +env: + REGISTRY: docker.io + IMAGE_NAME: memvid/cli + +jobs: + build-and-push: + runs-on: ubuntu-latest + permissions: + contents: read + packages: write + + steps: + - name: Checkout + uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1 + + - name: Set up QEMU + uses: docker/setup-qemu-action@c7c53464625b32c7a7e944ae62b3e17d2b600130 # v3.7.0 + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@8d2750c68a42422c14e847fe6c8ac0403b4cbd6f # v3.12.0 + + - name: Login to Docker Hub + uses: docker/login-action@5e57cd118135c172c3672efd75eb46360885c0ef # v3.6.0 + with: + username: ${{ secrets.DOCKERHUB_USERNAME }} + password: ${{ secrets.DOCKERHUB_TOKEN }} + + - name: Extract version + id: version + run: echo "VERSION=${GITHUB_REF#refs/tags/v}" >> $GITHUB_OUTPUT + + - name: Build and push + uses: docker/build-push-action@263435318d21b8e681c14492fe198d362a7d2c83 # v6.18.0 + with: + context: ./docker/cli + platforms: linux/amd64,linux/arm64 + push: true + tags: | + ${{ env.IMAGE_NAME }}:latest + ${{ env.IMAGE_NAME }}:${{ steps.version.outputs.VERSION }} + cache-from: type=gha + cache-to: type=gha,mode=max diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..06a3e88 --- /dev/null +++ b/.gitignore @@ -0,0 +1,49 @@ +doc.mv2 +*.mv2 +*.mv2-wal +*.mv2-shm +*.mv2-lock +*.mv2-journal +*.mv2.* +*.mv2-wal.* +*.mv2-shm.* +*.mv2-lock.* +*.mv2-journal.* + +.DS_Store +*.bk +.idea + + +/target +**/*.rs.bk +# Cargo.lock - now committed for reproducible CI builds +.idea + + +entry2.json +entry1.txt +vector_entry.txt +vector_embedding.txt + +*.pdf +*.txt +# Exception: SymSpell dictionary files needed for PDF text cleanup +!data/*.txt +*.docx +*.doc +*.pptx +*.ppt +*.xlsx +*.xls +*.csv +*.json + +models/ +*.DS_Store + +issue_overview.md + +feature_100x_memvid.md + +plan_model_robust.md \ No newline at end of file diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 0000000..448fac5 --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,50 @@ +# Changelog + +All notable changes to Memvid will be documented in this file. + +The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/), +and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). + +## [Unreleased] + +### Added +- Initial public release of Memvid core library +- Single-file `.mv2` format for portable AI memory +- Full-text search with BM25 ranking (Tantivy) +- Vector similarity search with HNSW +- PDF, DOCX, XLSX document ingestion +- CLIP visual embeddings for image search +- Whisper audio transcription +- Timeline queries for chronological browsing +- Crash-safe WAL-based writes +- Blake3 checksums for data integrity +- Ed25519 signatures for authenticity +- Optional AES-256-GCM encryption + +### Security +- Embedded WAL prevents data corruption +- Atomic commits ensure consistency +- File locking prevents concurrent write conflicts + +## [2.0.0] - 2026-01-05 + +### Added +- Complete rewrite in Rust for performance and safety +- New `.mv2` file format (single-file, no sidecars) +- Append-only frame-based architecture +- Built-in full-text and vector search +- Cross-platform support (macOS, Linux, Windows) + +### Changed +- Migrated from Python to Rust +- New API design focused on simplicity +- Improved memory efficiency + +### Removed +- Legacy Python implementation +- QR code video encoding (replaced with efficient binary format) + +--- + +[Unreleased]: https://github.com/memvid/memvid/compare/v2.0.0...HEAD +[2.0.0]: https://github.com/memvid/memvid/releases/tag/v2.0.0 diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 0000000..f16bf81 --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1,119 @@ +# CLAUDE.md + +This file provides guidance to Claude Code and other AI assistants working with this repository. + +## Project Overview + +Memvid is a Rust library that provides a single-file memory layer for AI agents. It packages documents, embeddings, search indices, and metadata into a portable `.mv2` file. + +## Architecture + +### Core Components + +``` +src/ +├── lib.rs # Public API exports +├── memvid/ # Main Memvid struct and operations +│ ├── mod.rs # Memvid implementation +│ ├── mutation.rs # Write operations (put, commit, delete) +│ ├── search/ # Search implementations +│ └── ask.rs # RAG query handling +├── io/ # File I/O layer +│ ├── header.rs # File header (4KB) +│ ├── wal.rs # Write-ahead log +│ └── time_index.rs # Chronological index +├── lex.rs # Full-text search (Tantivy) +├── vec.rs # Vector search (HNSW) +├── clip.rs # CLIP embeddings +├── whisper.rs # Audio transcription +└── types/ # Type definitions +``` + +### File Format (.mv2) + +``` +┌────────────────────────────┐ +│ Header (4KB) │ +├────────────────────────────┤ +│ Embedded WAL (1-64MB) │ +├────────────────────────────┤ +│ Data Segments │ +├────────────────────────────┤ +│ Lex Index (Tantivy) │ +├────────────────────────────┤ +│ Vec Index (HNSW) │ +├────────────────────────────┤ +│ Time Index │ +├────────────────────────────┤ +│ TOC (Footer) │ +└────────────────────────────┘ +``` + +## Development Commands + +```bash +# Build +cargo build +cargo build --release + +# Test +cargo test +cargo test --test lifecycle +cargo test -- --nocapture + +# Lint +cargo clippy +cargo fmt + +# Run examples +cargo run --example basic_usage +cargo run --example pdf_ingestion + +# Benchmarks +cargo bench +``` + +## Key APIs + +```rust +// Create/Open +let mut mem = Memvid::create("file.mv2")?; +let mut mem = Memvid::open("file.mv2")?; + +// Write +mem.put_bytes(content)?; +mem.put_bytes_with_options(content, options)?; +mem.commit()?; + +// Search +mem.search(SearchRequest { query, top_k, .. })?; +mem.timeline(TimelineQuery::default())?; + +// Verify +Memvid::verify("file.mv2", deep)?; +``` + +## Feature Flags + +| Feature | Purpose | +|---------|---------| +| `lex` | Full-text search (default) | +| `vec` | Vector similarity search | +| `clip` | CLIP image embeddings | +| `whisper` | Audio transcription | +| `encryption` | AES-256-GCM encryption | + +## Code Style + +- Follow Rust idioms and best practices +- Use `thiserror` for error types +- Use `tracing` for logging +- Add doc comments for public APIs +- Write tests for new functionality + +## Important Notes + +- Single-file design: Never create sidecar files +- Crash safety: All writes go through WAL +- Append-only: Frames are immutable once committed +- No async: Library is synchronous for simplicity diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md new file mode 100644 index 0000000..852cf6a --- /dev/null +++ b/CODE_OF_CONDUCT.md @@ -0,0 +1,45 @@ +# Code of Conduct + +## Our Pledge + +We as members, contributors, and leaders pledge to make participation in our community a harassment-free experience for everyone, regardless of age, body size, visible or invisible disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, caste, color, religion, or sexual identity and orientation. + +We pledge to act and interact in ways that contribute to an open, welcoming, diverse, inclusive, and healthy community. + +## Our Standards + +**Examples of behavior that contributes to a positive environment:** + +- Using welcoming and inclusive language +- Being respectful of differing viewpoints and experiences +- Gracefully accepting constructive criticism +- Focusing on what is best for the community +- Showing empathy towards other community members + +**Examples of unacceptable behavior:** + +- The use of sexualized language or imagery, and sexual attention or advances of any kind +- Trolling, insulting or derogatory comments, and personal or political attacks +- Public or private harassment +- Publishing others' private information without explicit permission +- Other conduct which could reasonably be considered inappropriate in a professional setting + +## Enforcement Responsibilities + +Community leaders are responsible for clarifying and enforcing our standards of acceptable behavior and will take appropriate and fair corrective action in response to any behavior that they deem inappropriate, threatening, offensive, or harmful. + +## Scope + +This Code of Conduct applies within all community spaces, and also applies when an individual is officially representing the community in public spaces. + +## Enforcement + +Instances of abusive, harassing, or otherwise unacceptable behavior may be reported to the community leaders responsible for enforcement at: + +**conduct@memvid.com** + +All complaints will be reviewed and investigated promptly and fairly. + +## Attribution + +This Code of Conduct is adapted from the [Contributor Covenant](https://www.contributor-covenant.org/), version 2.1. diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 0000000..e06a9e9 --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,159 @@ +# Contributing to Memvid + +Thank you for your interest in contributing to Memvid! We welcome contributions from everyone. + +## Getting Started + +### Prerequisites + +- **Rust 1.85.0+** — Install from [rustup.rs](https://rustup.rs) +- **Git** — For version control + +### Setup + +1. **Fork the repository** on GitHub + +2. **Clone your fork**: + ```bash + git clone https://github.com/YOUR_USERNAME/memvid.git + cd memvid + ``` + +3. **Build the project**: + ```bash + cargo build + ``` + +4. **Run tests**: + ```bash + cargo test + ``` + +## Development Workflow + +### Creating a Branch + +```bash +git checkout -b feature/your-feature-name +# or +git checkout -b fix/your-bug-fix +``` + +### Making Changes + +1. Write your code following the [code style guidelines](#code-style) +2. Add tests for new functionality +3. Ensure all tests pass: `cargo test` +4. Run clippy: `cargo clippy` +5. Format code: `cargo fmt` + +### Committing + +Write clear, concise commit messages: + +```bash +git commit -m "feat: add support for XYZ" +git commit -m "fix: resolve issue with ABC" +git commit -m "docs: update README examples" +``` + +### Submitting a Pull Request + +1. Push to your fork: + ```bash + git push origin feature/your-feature-name + ``` + +2. Open a Pull Request on GitHub + +3. Fill out the PR template completely + +4. Wait for review and address feedback + +## Code Style + +### Rust Guidelines + +- Follow standard Rust idioms and conventions +- Use `rustfmt` for formatting (`cargo fmt`) +- Use `clippy` for linting (`cargo clippy`). We maintain a **zero-warning policy**. +- Prefer explicit types for public APIs +- Use `thiserror` for error definitions + +### Linting & Safety + +We enforce strict linting to ensure safety and portability: + +1. **Zero Warnings**: CI will fail on any warning. Run `cargo clippy --workspace --all-targets -- -D warnings` locally. +2. **No Panics**: `unwrap()` and `expect()` are **denied** in library code. Use `Result` propagation (`?`) or graceful error handling. They are allowed in `tests/`. +3. **No Truncation**: `cast_possible_truncation` is denied. Use `try_from` when converting `u64` to `usize`/`u32`. +4. **Exceptions**: We allow pragmatic lints (e.g., `cast_precision_loss` for ML math) in `src/lib.rs`. Do not add global `#![allow]` without discussion. + +### Documentation + +- Add doc comments (`///`) to all public functions, structs, and modules +- Include examples in doc comments where helpful +- Keep comments concise and up-to-date + +### Testing + +- Write unit tests for new functionality +- Place tests in the same file using `#[cfg(test)]` module +- Integration tests go in the `tests/` directory +- Aim for high coverage of edge cases + +## Project Structure + +``` +memvid/ +├── src/ # Source code +│ ├── lib.rs # Public API +│ ├── memvid/ # Core implementation +│ ├── io/ # File I/O +│ └── types/ # Type definitions +├── tests/ # Integration tests +├── examples/ # Example code +├── benchmarks/ # Benchmarks +└── data/ # Required data files +``` + +## Feature Flags + +When adding new functionality, consider if it should be behind a feature flag: + +```toml +[features] +my_feature = ["dep:some-dependency"] +``` + +This keeps the default build lean and fast. + +## Reporting Issues + +When reporting bugs, please include: + +- Rust version (`rustc --version`) +- Operating system +- Memvid version +- Minimal code to reproduce +- Expected vs actual behavior + +## Translations + +Interested in translating Memvid's documentation? See [Contributing Translations](docs/i18n/CONTRIBUTING_TRANSLATIONS.md) for guidelines on translating the README and other documentation. + +## Getting Help + +- Open a [Discussion](https://github.com/memvid/memvid/discussions) for questions +- Check existing [Issues](https://github.com/memvid/memvid/issues) for similar problems +- Email: contact@memvid.com + +## Recognition + +Contributors are: +- Listed in release notes +- Part of the Memvid community + +--- + +**Thank you for making Memvid better!** diff --git a/Cargo.lock b/Cargo.lock new file mode 100644 index 0000000..2183aa7 --- /dev/null +++ b/Cargo.lock @@ -0,0 +1,6837 @@ +# This file is automatically @generated by Cargo. +# It is not intended for manual editing. +version = 4 + +[[package]] +name = "accelerate-src" +version = "0.3.2" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "415ed64958754dbe991900f3940677e6a7eefb4d7367afd70d642677b0c7d19d" + +[[package]] +name = "adler2" +version = "2.0.1" 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deterministic, single-file AI memory." +repository = "https://github.com/memvid/memvid" +documentation = "https://docs.memvid.com" +readme = "README.md" +keywords = ["ai", "memory", "search", "vector", "embeddings"] +categories = ["database", "data-structures"] +include = ["src/**/*", "data/**/*", "Cargo.toml", "README.md"] + +[dependencies] +once_cell = "1.19.0" +serde = { version = "1.0.228", features = ["derive"] } +bincode = { version = "2.0.1", features = ["serde"] } +blake3 = "1.5.1" +uuid = { version = "1.10.0", features = ["v4", "serde"] } +log = "0.4.22" +thiserror = "2.0.17" +fs2 = "0.4.3" +zstd = "0.13.1" +lz4_flex = "0.12.0" +tracing = "0.1.41" +serde_json = "1.0.145" +ed25519-dalek = { version = "2.2.0", features = ["std"] } +base64 = "0.22.1" +sha2 = "0.10.9" +hex = "0.4.3" +# extractous uses GraalVM native compilation which doesn't work on Windows ARM or WSL2 on ARM +# Enable with --features extractous for full document extraction (PDF, DOCX, etc.) +extractous = { version = "0.3", optional = true } +regex = "1.11.1" +time = { version = "0.3.36", features = ["formatting", "parsing"] } +chrono = { version = "0.4.42", features = ["serde"] } +interim = { version = "0.2.1", optional = true } +lopdf = "0.39" +# Pure Rust PDF text extraction - used as primary extractor when extractous is disabled +pdf-extract = { version = "0.10", optional = true } +# High-accuracy PDF text extraction with perfect word spacing (2025) +pdf_oxide = { version = "0.3", optional = true } +unicode-normalization = "0.1" +unicode-segmentation = "1.11" +zip = { version = "7.1", default-features = false, features = ["deflate"] } +quick-xml = "0.31" +calamine = "0.22" +pdfium-render = { version = "0.8.28", optional = true } +tempfile = "3.10.1" +num_cpus = { version = "1.17", optional = true } +crossbeam-channel = { version = "0.5.13", optional = true } +memmap2 = "0.9" +memchr = "2.7" +same-file = "1.0" +fs-err = "3.2" +atomic-write-file = "0.3" +dirs-next = "2.0" +smallvec = { 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"0.10", optional = true } +rand = { version = "0.8", optional = true, features = ["serde1"] } +rand_pcg = { version = "0.3", optional = true, features = ["serde1"] } +zeroize = { version = "1.7", optional = true } + +# Candle ML framework for Whisper transcription +candle-core = { version = "0.9", optional = true } +candle-nn = { version = "0.9", optional = true } +candle-transformers = { version = "0.9", optional = true } +hf-hub = { version = "0.4", optional = true, features = ["tokio"] } +byteorder = { version = "1.5", optional = true } + +# SymSpell for PDF text cleanup - fixes broken word spacing from PDF extraction +symspell = { version = "0.4", optional = true } +# SIMD acceleration for vector distance calculations +wide = { version = "1.1", optional = true } +space = { version = "0.17", optional = true } + +# HTTP client for API-based embedding providers (OpenAI, etc.) +reqwest = { version = "0.12", optional = true, default-features = false, features = ["blocking", "json", "rustls-tls"] } + +# Platform-specific: libc for stderr suppression on macOS +[target.'cfg(target_os = "macos")'.dependencies] +libc = "0.2" + +[features] +default = ["lex", "pdf_extract", "simd"] +# pdf_oxide disabled - cff-parser panics on ligature fonts (uniFB01/uniFB02) +# symspell_cleanup - enables robust PDF text repair (requires `make download-models` for dictionaries) +lex = ["dep:tantivy"] +extractous = ["dep:extractous"] +# Pure Rust PDF extraction - faster than lopdf for text extraction, cross-platform +pdf_extract = ["dep:pdf-extract"] +# High-accuracy PDF extraction with perfect word spacing (recommended for 2025+) +pdf_oxide = ["dep:pdf_oxide"] +vec = ["dep:ort", "dep:hnsw", "dep:ndarray", "dep:tokenizers", "dep:space", "dep:rand", "dep:rand_pcg"] +clip = ["vec", "dep:image", "dep:ndarray", "dep:rayon", "dep:tokenizers"] +mmap = [] +pdfium = ["dep:pdfium-render"] +temporal_track = [] +temporal_enrich = ["dep:interim"] +parallel_segments = ["dep:num_cpus", "dep:crossbeam-channel"] +# Logic-Mesh: entity-relationship graph with NER extraction using DistilBERT-NER ONNX +logic_mesh = ["dep:ort", "dep:ndarray", "dep:tokenizers"] +# Whisper: audio transcription with Candle inference +whisper = ["dep:symphonia", "dep:rubato", "dep:tokenizers", "dep:candle-core", "dep:candle-nn", "dep:candle-transformers", "dep:hf-hub", "dep:byteorder"] +# GPU acceleration for Whisper (optional) +metal = ["candle-core/metal", "candle-nn/metal", "candle-transformers/metal"] +cuda = ["candle-core/cuda", "candle-nn/cuda", "candle-transformers/cuda"] +accelerate = ["candle-core/accelerate", "candle-nn/accelerate", "candle-transformers/accelerate"] +# Time-travel replay for agent sessions +replay = [] +# Password-based encryption capsules (.mv2e) +encryption = ["dep:argon2", "dep:aes-gcm", "dep:rand", "dep:zeroize"] +# SymSpell-based PDF text cleanup - fixes broken word spacing +symspell_cleanup = ["dep:symspell"] +# API-based embedding providers (OpenAI, Anthropic, etc.) - requires network +api_embed = ["dep:reqwest"] +# SIMD acceleration for vector distance calculations +simd = ["dep:wide"] +hnsw_bench = ["dep:hnsw", "dep:rand", "dep:space", "dep:rand_pcg"] + +[dev-dependencies] +fastrand = "2.0" +tempfile = "3.10.1" +criterion = { version = "0.8.1", features = ["html_reports"] } + +[[example]] +name = "text_embedding" +required-features = ["vec"] + +[[example]] +name = "text_embed_cache_bench" +required-features = ["vec"] + +[[example]] +name = "openai_embedding" +required-features = ["api_embed"] + +[[example]] +name = "simd_benchmark" +required-features = ["simd"] + +[[bench]] +name = "search_precision_benchmark" +harness = false + +[[bench]] +name = "vec_search_benchmark" +harness = false +required-features = ["hnsw_bench"] diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..b261ce1 --- /dev/null +++ b/LICENSE @@ -0,0 +1,190 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + + Copyright 2026 Memvid + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/MV2_SPEC.md b/MV2_SPEC.md new file mode 100644 index 0000000..3b55301 --- /dev/null +++ b/MV2_SPEC.md @@ -0,0 +1,226 @@ +# MV2 File Format Specification + +Version 2.1 + +## Overview + +MV2 is a single-file format for AI memory storage. Everything lives in one file: header, write-ahead log, data segments, search indices, and metadata. No sidecar files. + +``` +┌─────────────────────────────────────────────────────────────┐ +│ .mv2 FILE │ +├─────────────────────────────────────────────────────────────┤ +│ Header │ 4 KB │ +├─────────────────────────────────────────────────────────────┤ +│ Embedded WAL │ 1-64 MB (capacity-dependent) │ +├─────────────────────────────────────────────────────────────┤ +│ Data Segments │ Variable │ +│ - Frame payloads │ +│ - Compressed content │ +├─────────────────────────────────────────────────────────────┤ +│ Lex Index Segment │ Tantivy index (optional) │ +├─────────────────────────────────────────────────────────────┤ +│ Vec Index Segment │ HNSW vectors (optional) │ +├─────────────────────────────────────────────────────────────┤ +│ Time Index Segment │ Chronological ordering │ +├─────────────────────────────────────────────────────────────┤ +│ TOC (Footer) │ Segment catalog + checksums │ +└─────────────────────────────────────────────────────────────┘ +``` + +## Header (4096 bytes) + +The header occupies the first 4 KB of the file. + +| Offset | Size | Field | Description | +|--------|------|-------|-------------| +| 0 | 4 | `magic` | `MV2\0` (0x4D 0x56 0x32 0x00) | +| 4 | 2 | `version` | Format version (little-endian) | +| 6 | 1 | `spec_major` | Spec major version (2) | +| 7 | 1 | `spec_minor` | Spec minor version (1) | +| 8 | 8 | `footer_offset` | Byte offset to TOC | +| 16 | 8 | `wal_offset` | Byte offset to WAL (always 4096) | +| 24 | 8 | `wal_size` | WAL region size in bytes | +| 32 | 8 | `wal_checkpoint_pos` | Last checkpointed sequence | +| 40 | 8 | `wal_sequence` | Current WAL sequence number | +| 48 | 32 | `toc_checksum` | SHA-256 of TOC segment | +| 80 | 4016 | reserved | Zero-filled, reserved for future use | + +All multi-byte integers are little-endian. + +## Write-Ahead Log (WAL) + +The embedded WAL provides crash recovery. It starts at byte 4096 and has a capacity determined by the file's target size: + +| File Capacity | WAL Size | +|---------------|----------| +| < 100 MB | 1 MB | +| < 1 GB | 4 MB | +| < 10 GB | 16 MB | +| >= 10 GB | 64 MB | + +### WAL Entry Format + +``` +┌──────────────────────────────────────┐ +│ sequence │ 8 bytes (u64 LE) │ +│ entry_type │ 1 byte │ +│ payload_len │ 4 bytes (u32 LE) │ +│ payload │ variable │ +│ checksum │ 4 bytes (CRC32) │ +└──────────────────────────────────────┘ +``` + +Entry types: +- `0x01` - Frame append +- `0x02` - Frame update +- `0x03` - Frame delete (tombstone) +- `0x04` - Index update + +### Checkpoint Behavior + +- Checkpoint triggers at 75% WAL occupancy or every 1,000 transactions +- Checkpoint flushes WAL entries to data segments +- `seal()` forces immediate checkpoint +- Recovery replays entries with `sequence > wal_checkpoint_pos` + +## Frame Structure + +Each frame represents a single piece of content. + +| Field | Type | Description | +|-------|------|-------------| +| `frame_id` | u64 | Unique identifier (monotonic) | +| `uri` | String | Hierarchical path (`mv2://path/to/doc`) | +| `title` | String? | Optional display title | +| `created_at` | u64 | Unix timestamp (seconds) | +| `encoding` | u8 | Content encoding (see below) | +| `payload` | bytes | Compressed content | +| `payload_checksum` | [u8; 32] | SHA-256 of uncompressed payload | +| `tags` | Map | User-defined key-value pairs | +| `status` | u8 | 0=active, 1=tombstoned | + +### Encoding Types + +| Value | Name | Description | +|-------|------|-------------| +| 0 | Raw | Uncompressed bytes | +| 1 | Zstd | Zstandard compression | +| 2 | Lz4 | LZ4 compression | + +## Data Segments + +Frames are grouped into segments for efficient storage and retrieval. + +### Segment Header + +``` +┌──────────────────────────────────────┐ +│ magic │ 4 bytes │ +│ version │ 2 bytes │ +│ segment_type │ 1 byte │ +│ frame_count │ 4 bytes │ +│ compressed │ 1 byte (bool) │ +│ checksum │ 32 bytes │ +└──────────────────────────────────────┘ +``` + +Segment types: +- `0x01` - Data segment (frames) +- `0x02` - Lex index segment +- `0x03` - Vec index segment +- `0x04` - Time index segment + +## Time Index + +The time index enables chronological queries and time-travel. + +### Time Index Entry + +| Field | Size | Description | +|-------|------|-------------| +| `frame_id` | 8 | Frame identifier | +| `timestamp` | 8 | Unix timestamp | +| `offset` | 8 | Byte offset in data segment | + +Magic: `MVTI` (0x4D 0x56 0x54 0x49) + +## Lex Index (Full-Text Search) + +When the `lex` feature is enabled, the file contains a Tantivy index segment. + +Indexed fields: +- `body` - Full text content +- `title` - Document title +- `uri` - Document URI +- `tags` - Flattened tag values + +Supports: +- BM25 ranking +- Phrase queries +- Boolean operators +- Date range filters + +## Vec Index (Vector Search) + +When the `vec` feature is enabled, the file contains an HNSW index segment. + +| Parameter | Value | +|-----------|-------| +| Dimensions | 384 (BGE-small) | +| Distance | Cosine similarity | +| M | 16 | +| ef_construction | 200 | + +## Table of Contents (TOC) + +The TOC is the final segment, pointed to by `footer_offset` in the header. + +``` +┌──────────────────────────────────────┐ +│ magic │ "MVTC" │ +│ version │ 2 bytes │ +│ segment_count │ 4 bytes │ +│ segments[] │ SegmentDescriptor[] │ +│ manifests │ IndexManifests │ +│ checksum │ 32 bytes │ +└──────────────────────────────────────┘ +``` + +### Segment Descriptor + +| Field | Size | Description | +|-------|------|-------------| +| `segment_type` | 1 | Type identifier | +| `offset` | 8 | Byte offset in file | +| `length` | 8 | Segment size in bytes | +| `checksum` | 32 | SHA-256 of segment | + +## URI Scheme + +All content is addressable via `mv2://` URIs: + +``` +mv2://[track/][path/]name +``` + +Examples: +- `mv2://meetings/2024-01-15` +- `mv2://docs/api/reference.md` +- `mv2://media/photo.png` + +## Invariants + +1. **Single-file guarantee**: No `.wal`, `.shm`, `.lock`, or other sidecar files +2. **Append-only frames**: Existing frames are never modified in place +3. **Determinism**: Same API calls produce identical bytes +4. **Crash safety**: WAL ensures durability across unexpected termination +5. **Self-describing**: TOC contains all metadata needed to parse the file + +## Version History + +| Version | Changes | +|---------|---------| +| 2.1 | Current version. Embedded WAL, temporal track support | +| 2.0 | Single-file format, removed external indices | +| 1.x | Legacy format (deprecated) | diff --git a/Makefile b/Makefile new file mode 100644 index 0000000..ae656e6 --- /dev/null +++ b/Makefile @@ -0,0 +1,236 @@ +.PHONY: help build build-release test test-verbose clean fmt fmt-check clippy clippy-fix doc doc-open check install run-example docker-build docker-test docker-push pre-commit tree outdated bloat test-doc test-release package publish-dry-run coverage watch + +# Default target +.DEFAULT_GOAL := help + +# Variables +CARGO := cargo +RUST_VERSION := 1.85.0 +FEATURES := lex,pdf_extract + +# Colors for output +CYAN := \033[0;36m +GREEN := \033[0;32m +YELLOW := \033[0;33m +NC := \033[0m # No Color + +help: ## Show this help message + @echo "$(CYAN)Memvid Makefile Commands:$(NC)" + @echo "" + @grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | sort | awk 'BEGIN {FS = ":.*?## "}; {printf " $(GREEN)%-20s$(NC) %s\n", $$1, $$2}' + @echo "" + +install: ## Install Rust toolchain and dependencies + @echo "$(CYAN)Installing Rust toolchain...$(NC)" + @rustup toolchain install $(RUST_VERSION) || true + @rustup default $(RUST_VERSION) || true + @echo "$(CYAN)Installing cargo dependencies...$(NC)" + @$(CARGO) fetch + +download-models: ## Download required models and dictionaries + @echo "$(CYAN)Downloading SymSpell dictionaries...$(NC)" + @mkdir -p data + @curl -L https://raw.githubusercontent.com/wolfgarbe/SymSpell/master/SymSpell/frequency_dictionary_en_82_765.txt -o data/frequency_dictionary_en_82_765.txt + @curl -L https://raw.githubusercontent.com/wolfgarbe/SymSpell/master/SymSpell/frequency_bigramdictionary_en_243_342.txt -o data/frequency_bigramdictionary_en_243_342.txt + + +check: ## Check code without building + @echo "$(CYAN)Checking code...$(NC)" + @$(CARGO) check --features $(FEATURES) + +build: ## Build in debug mode + @echo "$(CYAN)Building in debug mode...$(NC)" + @$(CARGO) build --features $(FEATURES) + +build-release: ## Build in release mode (optimized) + @echo "$(CYAN)Building in release mode...$(NC)" + @$(CARGO) build --release --features $(FEATURES) + +build-verbose: ## Build with verbose output + @echo "$(CYAN)Building with verbose output...$(NC)" + @$(CARGO) build --verbose --features $(FEATURES) + +build-release-verbose: ## Build release with verbose output + @echo "$(CYAN)Building release with verbose output...$(NC)" + @$(CARGO) build --release --verbose --features $(FEATURES) + +build-all-features: ## Build with all features enabled + @echo "$(CYAN)Building with all features...$(NC)" + @$(CARGO) build --release --all-features + +test: ## Run tests + @echo "$(CYAN)Running tests...$(NC)" + @$(CARGO) test --features $(FEATURES) + +test-verbose: ## Run tests with output + @echo "$(CYAN)Running tests with output...$(NC)" + @$(CARGO) test --features $(FEATURES) -- --nocapture + +test-release: ## Run tests in release mode + @echo "$(CYAN)Running tests in release mode...$(NC)" + @$(CARGO) test --release --features $(FEATURES) + +test-doc: ## Run documentation tests only + @echo "$(CYAN)Running documentation tests...$(NC)" + @$(CARGO) test --doc --features $(FEATURES) + +test-all-targets: ## Run all test targets (lib, bins, tests, examples) + @echo "$(CYAN)Running all test targets...$(NC)" + @$(CARGO) test --all-targets --features $(FEATURES) + +test-no-fail-fast: ## Run all tests even if one fails + @echo "$(CYAN)Running all tests (no fail fast)...$(NC)" + @$(CARGO) test --features $(FEATURES) -- --no-fail-fast + +test-integration: ## Run integration tests only + @echo "$(CYAN)Running integration tests...$(NC)" + @$(CARGO) test --test lifecycle --test search --test mutation --test crash_recovery --test doctor_recovery --test encryption_capsule --test replay_integrity --test single_file --features $(FEATURES) + +test-unit: ## Run unit tests only + @echo "$(CYAN)Running unit tests...$(NC)" + @$(CARGO) test --lib --features $(FEATURES) + +fmt: ## Format code + @echo "$(CYAN)Formatting code...$(NC)" + @$(CARGO) fmt --all + +fmt-check: ## Check code formatting + @echo "$(CYAN)Checking code formatting...$(NC)" + @$(CARGO) fmt --all -- --check + +clippy: ## Run clippy linter + @echo "$(CYAN)Running clippy...$(NC)" + @$(CARGO) clippy --all-targets --features $(FEATURES) -- -D warnings + +clippy-fix: ## Run clippy and auto-fix issues + @echo "$(CYAN)Running clippy with auto-fix...$(NC)" + @$(CARGO) clippy --fix --all-targets --features $(FEATURES) -- -D warnings + +doc: ## Generate documentation + @echo "$(CYAN)Generating documentation...$(NC)" + @$(CARGO) doc --features $(FEATURES) --no-deps + +doc-open: ## Generate and open documentation + @echo "$(CYAN)Generating and opening documentation...$(NC)" + @$(CARGO) doc --features $(FEATURES) --no-deps --open + +clean: ## Clean build artifacts + @echo "$(CYAN)Cleaning build artifacts...$(NC)" + @$(CARGO) clean + +clean-all: clean ## Clean everything including target directory + @echo "$(CYAN)Cleaning all artifacts...$(NC)" + @rm -rf target/ + +run-example-basic: ## Run basic_usage example + @echo "$(CYAN)Running basic_usage example...$(NC)" + @$(CARGO) run --example basic_usage --features $(FEATURES) + +run-example-pdf: ## Run pdf_ingestion example (usage: make run-example-pdf PDF_PATH=/path/to/pdf) + @if [ -z "$(PDF_PATH)" ]; then \ + echo "$(YELLOW)Usage: make run-example-pdf PDF_PATH=/path/to/pdf$(NC)"; \ + echo "$(YELLOW)Example: make run-example-pdf PDF_PATH=examples/1706.03762v7.pdf$(NC)"; \ + exit 1; \ + fi + @echo "$(CYAN)Running pdf_ingestion example with $(PDF_PATH)...$(NC)" + @$(CARGO) run --example pdf_ingestion --features $(FEATURES) -- $(PDF_PATH) + +run-example-clip: ## Run clip_visual_search example (usage: make run-example-clip PDF_PATH=/path/to/pdf) + @if [ -z "$(PDF_PATH)" ]; then \ + echo "$(YELLOW)Usage: make run-example-clip PDF_PATH=/path/to/pdf$(NC)"; \ + echo "$(YELLOW)Example: make run-example-clip PDF_PATH=examples/document.pdf$(NC)"; \ + exit 1; \ + fi + @echo "$(CYAN)Running clip_visual_search example with $(PDF_PATH)...$(NC)" + @$(CARGO) run --example clip_visual_search --features $(FEATURES),clip -- $(PDF_PATH) + +run-example-whisper: ## Run test_whisper example (usage: make run-example-whisper AUDIO_PATH=/path/to/audio) + @if [ -z "$(AUDIO_PATH)" ]; then \ + echo "$(YELLOW)Usage: make run-example-whisper AUDIO_PATH=/path/to/audio$(NC)"; \ + echo "$(YELLOW)Example: make run-example-whisper AUDIO_PATH=examples/call_sale.mp3$(NC)"; \ + exit 1; \ + fi + @echo "$(CYAN)Running test_whisper example with $(AUDIO_PATH)...$(NC)" + @$(CARGO) run --example test_whisper --features $(FEATURES),whisper -- $(AUDIO_PATH) + +lint: fmt-check clippy ## Run all linting checks + +verify: check lint test ## Run all verification checks (check, lint, test) + +ci: verify build-release ## Run CI pipeline (verify + release build) + +docker-build: ## Build Docker image + @echo "$(CYAN)Building Docker image...$(NC)" + @cd docker/cli && docker build -t memvid/cli:latest . + +docker-test: ## Test Docker image + @echo "$(CYAN)Testing Docker image...$(NC)" + @cd docker/cli && ./test.sh + +docker-push: ## Push Docker image to registry (requires login) + @echo "$(CYAN)Pushing Docker image...$(NC)" + @docker push memvid/cli:latest + +docker-tag: ## Tag Docker image with version + @echo "$(CYAN)Tagging Docker image...$(NC)" + @VERSION=$$(grep "^version" Cargo.toml | cut -d'"' -f2); \ + docker tag memvid/cli:latest memvid/cli:$$VERSION; \ + echo "Tagged as memvid/cli:$$VERSION" + +bench: ## Run benchmarks (if available) + @echo "$(CYAN)Running benchmarks...$(NC)" + @$(CARGO) bench --features $(FEATURES) || echo "$(YELLOW)No benchmarks found$(NC)" + +update: ## Update dependencies + @echo "$(CYAN)Updating dependencies...$(NC)" + @$(CARGO) update + +audit: ## Audit dependencies for security vulnerabilities + @echo "$(CYAN)Auditing dependencies...$(NC)" + @$(CARGO) audit || echo "$(YELLOW)cargo-audit not installed. Install with: cargo install cargo-audit$(NC)" + +version: ## Show version information + @echo "$(CYAN)Version Information:$(NC)" + @$(CARGO) --version + @rustc --version + @echo "" + @echo "$(CYAN)Project version:$(NC)" + @grep "^version" Cargo.toml + +tree: ## Show dependency tree + @echo "$(CYAN)Dependency tree:$(NC)" + @$(CARGO) tree --features $(FEATURES) + +tree-duplicates: ## Show duplicate dependencies + @echo "$(CYAN)Duplicate dependencies:$(NC)" + @$(CARGO) tree --duplicates --features $(FEATURES) + +outdated: ## Check for outdated dependencies + @echo "$(CYAN)Checking for outdated dependencies...$(NC)" + @$(CARGO) outdated || echo "$(YELLOW)cargo-outdated not installed. Install with: cargo install cargo-outdated$(NC)" + +bloat: ## Analyze binary size bloat + @echo "$(CYAN)Analyzing binary size...$(NC)" + @$(CARGO) bloat --release --features $(FEATURES) || echo "$(YELLOW)cargo-bloat not installed. Install with: cargo install cargo-bloat$(NC)" + +package: ## Create a package for publishing + @echo "$(CYAN)Creating package...$(NC)" + @$(CARGO) package + +publish-dry-run: ## Dry run of publish (check if ready) + @echo "$(CYAN)Running publish dry-run...$(NC)" + @$(CARGO) publish --dry-run + +coverage: ## Generate test coverage report + @echo "$(CYAN)Generating test coverage...$(NC)" + @$(CARGO) tarpaulin --features $(FEATURES) --out Html || echo "$(YELLOW)cargo-tarpaulin not installed. Install with: cargo install cargo-tarpaulin$(NC)" + +watch: ## Watch for changes and run tests + @echo "$(CYAN)Watching for changes...$(NC)" + @$(CARGO) watch -x "test --features $(FEATURES)" || echo "$(YELLOW)cargo-watch not installed. Install with: cargo install cargo-watch$(NC)" + +watch-build: ## Watch for changes and rebuild + @echo "$(CYAN)Watching for changes and rebuilding...$(NC)" + @$(CARGO) watch -x "build --features $(FEATURES)" || echo "$(YELLOW)cargo-watch not installed. Install with: cargo install cargo-watch$(NC)" + +pre-commit: fmt-check clippy test ## Run pre-commit checks (fmt, clippy, test) diff --git a/README.md b/README.md new file mode 100644 index 0000000..0649eb8 --- /dev/null +++ b/README.md @@ -0,0 +1,514 @@ + +Social Cover (9) + + +
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+ memvid%2Fmemvid | Trendshift +

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+ Memvid is a single-file memory layer for AI agents with instant retrieval and long-term memory.
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+ +

+ Stars + Forks + Issues + Discord +

+ + +## Benchmark Highlights + +**🚀 Higher accuracy than any other memory system :** +35% SOTA on LoCoMo, best-in-class long-horizon conversational recall & reasoning + +**🧠 Superior multi-hop & temporal reasoning:** +76% multi-hop, +56% temporal vs. the industry average + +**⚡ Ultra-low latency at scale** 0.025ms P50 and 0.075ms P99, with 1,372× higher throughput than standard + +**🔬 Fully reproducible benchmarks:** LoCoMo (10 × ~26K-token conversations), open-source eval, LLM-as-Judge + + +## What is Memvid? + +Memvid is a portable AI memory system that packages your data, embeddings, search structure, and metadata into a single file. + +Instead of running complex RAG pipelines or server-based vector databases, Memvid enables fast retrieval directly from the file. + +The result is a model-agnostic, infrastructure-free memory layer that gives AI agents persistent, long-term memory they can carry anywhere. + + +## What are Smart Frames? + +Memvid draws inspiration from video encoding, not to store video, but to **organize AI memory as an append-only, ultra-efficient sequence of Smart Frames.** + +A Smart Frame is an immutable unit that stores content along with timestamps, checksums and basic metadata. +Frames are grouped in a way that allows efficient compression, indexing, and parallel reads. + +This frame-based design enables: + +- Append-only writes without modifying or corrupting existing data +- Queries over past memory states +- Timeline-style inspection of how knowledge evolves +- Crash safety through committed, immutable frames +- Efficient compression using techniques adapted from video encoding + +The result is a single file that behaves like a rewindable memory timeline for AI systems. + + +## Core Concepts + +- **Living Memory Engine** + Continuously append, branch, and evolve memory across sessions. + +- **Capsule Context (`.mv2`)** + Self-contained, shareable memory capsules with rules and expiry. + +- **Time-Travel Debugging** + Rewind, replay, or branch any memory state. + +- **Smart Recall** + Sub-5ms local memory access with predictive caching. + +- **Codec Intelligence** + Auto-selects and upgrades compression over time. + + +## Use Cases + +Memvid is a portable, serverless memory layer that gives AI agents persistent memory and fast recall. Because it's model-agnostic, multi-modal, and works fully offline, developers are using Memvid across a wide range of real-world applications. + +- Long-Running AI Agents +- Enterprise Knowledge Bases +- Offline-First AI Systems +- Codebase Understanding +- Customer Support Agents +- Workflow Automation +- Sales and Marketing Copilots +- Personal Knowledge Assistants +- Medical, Legal, and Financial Agents +- Auditable and Debuggable AI Workflows +- Custom Applications + + +## SDKs & CLI + +Use Memvid in your preferred language: + +| Package | Install | Links | +| --------------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------- | +| **CLI** | `npm install -g memvid-cli` | [![npm](https://img.shields.io/npm/v/memvid-cli?style=flat-square)](https://www.npmjs.com/package/memvid-cli) | +| **Node.js SDK** | `npm install @memvid/sdk` | [![npm](https://img.shields.io/npm/v/@memvid/sdk?style=flat-square)](https://www.npmjs.com/package/@memvid/sdk) | +| **Python SDK** | `pip install memvid-sdk` | [![PyPI](https://img.shields.io/pypi/v/memvid-sdk?style=flat-square)](https://pypi.org/project/memvid-sdk/) | +| **Rust** | `cargo add memvid-core` | [![Crates.io](https://img.shields.io/crates/v/memvid-core?style=flat-square)](https://crates.io/crates/memvid-core) | + +--- + +## Installation (Rust) + +### Requirements + +- **Rust 1.85.0+** — Install from [rustup.rs](https://rustup.rs) + +### Add to Your Project + +```toml +[dependencies] +memvid-core = "2.0" +``` + +### Feature Flags + +| Feature | Description | +| ------------------- | ---------------------------------------------------------------- | +| `lex` | Full-text search with BM25 ranking (Tantivy) | +| `pdf_extract` | Pure Rust PDF text extraction | +| `vec` | Vector similarity search (HNSW + local text embeddings via ONNX) | +| `clip` | CLIP visual embeddings for image search | +| `whisper` | Audio transcription with Whisper | +| `api_embed` | Cloud API embeddings (OpenAI) | +| `temporal_track` | Natural language date parsing ("last Tuesday") | +| `parallel_segments` | Multi-threaded ingestion | +| `encryption` | Password-based encryption capsules (.mv2e) | +| `symspell_cleanup` | Robust PDF text repair (fixes "emp lo yee" -> "employee") | + +Enable features as needed: + +```toml +[dependencies] +memvid-core = { version = "2.0", features = ["lex", "vec", "temporal_track"] } +``` + + +## Quick Start + +```rust +use memvid_core::{Memvid, PutOptions, SearchRequest}; + +fn main() -> memvid_core::Result<()> { + // Create a new memory file + let mut mem = Memvid::create("knowledge.mv2")?; + + // Add documents with metadata + let opts = PutOptions::builder() + .title("Meeting Notes") + .uri("mv2://meetings/2024-01-15") + .tag("project", "alpha") + .build(); + mem.put_bytes_with_options(b"Q4 planning discussion...", opts)?; + mem.commit()?; + + // Search + let response = mem.search(SearchRequest { + query: "planning".into(), + top_k: 10, + snippet_chars: 200, + ..Default::default() + })?; + + for hit in response.hits { + println!("{}: {}", hit.title.unwrap_or_default(), hit.text); + } + + Ok(()) +} +``` + +--- + +## Build + +Clone the repository: + +```bash +git clone https://github.com/memvid/memvid.git +cd memvid +``` + +Build in debug mode: + +```bash +cargo build +``` + +Build in release mode (optimized): + +```bash +cargo build --release +``` + +Build with specific features: + +```bash +cargo build --release --features "lex,vec,temporal_track" +``` + +--- + +## Run Tests + +Run all tests: + +```bash +cargo test +``` + +Run tests with output: + +```bash +cargo test -- --nocapture +``` + +Run a specific test: + +```bash +cargo test test_name +``` + +Run integration tests only: + +```bash +cargo test --test lifecycle +cargo test --test search +cargo test --test mutation +``` + +--- + +## Examples + +The `examples/` directory contains working examples: + +### Basic Usage + +Demonstrates create, put, search, and timeline operations: + +```bash +cargo run --example basic_usage +``` + +### PDF Ingestion + +Ingest and search PDF documents (uses the "Attention Is All You Need" paper): + +```bash +cargo run --example pdf_ingestion +``` + +### CLIP Visual Search + +Image search using CLIP embeddings (requires `clip` feature): + +```bash +cargo run --example clip_visual_search --features clip +``` + +### Whisper Transcription + +Audio transcription (requires `whisper` feature): + +```bash +cargo run --example test_whisper --features whisper -- /path/to/audio.mp3 +``` + +**Available Models:** + +| Model | Size | Speed | Use Case | +| --------------------- | ------ | ------- | ----------------------------------- | +| `whisper-small-en` | 244 MB | Slowest | Best accuracy (default) | +| `whisper-tiny-en` | 75 MB | Fast | Balanced | +| `whisper-tiny-en-q8k` | 19 MB | Fastest | Quick testing, resource-constrained | + +**Model Selection:** + +```bash +# Default (FP32 small, highest accuracy) +cargo run --example test_whisper --features whisper -- audio.mp3 + +# Quantized tiny (75% smaller, faster) +MEMVID_WHISPER_MODEL=whisper-tiny-en-q8k cargo run --example test_whisper --features whisper -- audio.mp3 +``` + +**Programmatic Configuration:** + +```rust +use memvid_core::{WhisperConfig, WhisperTranscriber}; + +// Default FP32 small model +let config = WhisperConfig::default(); + +// Quantized tiny model (faster, smaller) +let config = WhisperConfig::with_quantization(); + +// Specific model +let config = WhisperConfig::with_model("whisper-tiny-en-q8k"); + +let transcriber = WhisperTranscriber::new(&config)?; +let result = transcriber.transcribe_file("audio.mp3")?; +println!("{}", result.text); +``` + + +## Text Embedding Models + +The `vec` feature includes local text embedding support using ONNX models. Before using local text embeddings, you need to download the model files manually. + +### Quick Start: BGE-small (Recommended) + +Download the default BGE-small model (384 dimensions, fast and efficient): + +```bash +mkdir -p ~/.cache/memvid/text-models + +# Download ONNX model +curl -L 'https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/bge-small-en-v1.5.onnx + +# Download tokenizer +curl -L 'https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/bge-small-en-v1.5_tokenizer.json +``` + +### Available Models + +| Model | Dimensions | Size | Best For | +| ----------------------- | ---------- | ------ | --------------- | +| `bge-small-en-v1.5` | 384 | ~120MB | Default, fast | +| `bge-base-en-v1.5` | 768 | ~420MB | Better quality | +| `nomic-embed-text-v1.5` | 768 | ~530MB | Versatile tasks | +| `gte-large` | 1024 | ~1.3GB | Highest quality | + +### Other Models + +**BGE-base** (768 dimensions): +```bash +curl -L 'https://huggingface.co/BAAI/bge-base-en-v1.5/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/bge-base-en-v1.5.onnx +curl -L 'https://huggingface.co/BAAI/bge-base-en-v1.5/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/bge-base-en-v1.5_tokenizer.json +``` + +**Nomic** (768 dimensions): +```bash +curl -L 'https://huggingface.co/nomic-ai/nomic-embed-text-v1.5/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/nomic-embed-text-v1.5.onnx +curl -L 'https://huggingface.co/nomic-ai/nomic-embed-text-v1.5/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/nomic-embed-text-v1.5_tokenizer.json +``` + +**GTE-large** (1024 dimensions): +```bash +curl -L 'https://huggingface.co/thenlper/gte-large/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/gte-large.onnx +curl -L 'https://huggingface.co/thenlper/gte-large/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/gte-large_tokenizer.json +``` + +### Usage in Code + +```rust +use memvid_core::text_embed::{LocalTextEmbedder, TextEmbedConfig}; +use memvid_core::types::embedding::EmbeddingProvider; + +// Use default model (BGE-small) +let config = TextEmbedConfig::default(); +let embedder = LocalTextEmbedder::new(config)?; + +let embedding = embedder.embed_text("hello world")?; +assert_eq!(embedding.len(), 384); + +// Use different model +let config = TextEmbedConfig::bge_base(); +let embedder = LocalTextEmbedder::new(config)?; +``` + +See `examples/text_embedding.rs` for a complete example with similarity computation and search ranking. + +### Model Consistency + +To prevent accidental model mixing (e.g., querying a BGE-small index with OpenAI embeddings), you can explicitly bind your Memvid instance to a specific model name: + +```rust +// Bind the index to a specific model. +// If the index was previously created with a different model, this will return an error. +mem.set_vec_model("bge-small-en-v1.5")?; +``` + +This binding is persistent. Once set, future attempts to use a different model name will fail fast with a `ModelMismatch` error. + + + +## API Embeddings (OpenAI) + +The `api_embed` feature enables cloud-based embedding generation using OpenAI's API. + +### Setup + +Set your OpenAI API key: + +```bash +export OPENAI_API_KEY="sk-..." +``` + +### Usage + +```rust +use memvid_core::api_embed::{OpenAIConfig, OpenAIEmbedder}; +use memvid_core::types::embedding::EmbeddingProvider; + +// Use default model (text-embedding-3-small) +let config = OpenAIConfig::default(); +let embedder = OpenAIEmbedder::new(config)?; + +let embedding = embedder.embed_text("hello world")?; +assert_eq!(embedding.len(), 1536); + +// Use higher quality model +let config = OpenAIConfig::large(); // text-embedding-3-large (3072 dims) +let embedder = OpenAIEmbedder::new(config)?; +``` + +### Available Models + +| Model | Dimensions | Best For | +| ------------------------ | ---------- | -------------------------- | +| `text-embedding-3-small` | 1536 | Default, fastest, cheapest | +| `text-embedding-3-large` | 3072 | Highest quality | +| `text-embedding-ada-002` | 1536 | Legacy model | + +See `examples/openai_embedding.rs` for a complete example. + + + +## File Format + +Everything lives in a single `.mv2` file: + +``` +┌────────────────────────────┐ +│ Header (4KB) │ Magic, version, capacity +├────────────────────────────┤ +│ Embedded WAL (1-64MB) │ Crash recovery +├────────────────────────────┤ +│ Data Segments │ Compressed frames +├────────────────────────────┤ +│ Lex Index │ Tantivy full-text +├────────────────────────────┤ +│ Vec Index │ HNSW vectors +├────────────────────────────┤ +│ Time Index │ Chronological ordering +├────────────────────────────┤ +│ TOC (Footer) │ Segment offsets +└────────────────────────────┘ +``` + +No `.wal`, `.lock`, `.shm`, or sidecar files. Ever. + +See [MV2_SPEC.md](MV2_SPEC.md) for the complete file format specification. + + + +## Support + +Have questions or feedback? +Email: contact@memvid.com + +**Drop a ⭐ to show support** + +--- + +> **Memvid v1 (QR-based memory) is deprecated** +> +> If you are referencing QR codes, you are using outdated information. +> +> See: https://docs.memvid.com/memvid-v1-deprecation + +--- + +## License + +Apache License 2.0 — see the [LICENSE](LICENSE) file for details. diff --git a/README.wehub.md b/README.wehub.md new file mode 100644 index 0000000..f4b2698 --- /dev/null +++ b/README.wehub.md @@ -0,0 +1,7 @@ +# WeHub 来源说明 + +- 原始项目：`memvid/memvid` +- 原始仓库：https://github.com/memvid/memvid +- 导入方式：上游默认分支的最新快照 +- 原作者、版权和许可证信息以原始仓库及本仓库 LICENSE 为准 +- 本文件仅用于记录来源，不代表 WeHub 是原项目作者 diff --git a/SECURITY.md b/SECURITY.md new file mode 100644 index 0000000..91724d5 --- /dev/null +++ b/SECURITY.md @@ -0,0 +1,68 @@ +# Security Policy + +## Supported Versions + +| Version | Supported | +| ------- | ------------------ | +| 2.x | :white_check_mark: | +| < 2.0 | :x: | + +## Reporting a Vulnerability + +We take security seriously at Memvid. If you discover a security vulnerability, please report it responsibly. + +### How to Report + +**Please do NOT open a public GitHub issue for security vulnerabilities.** + +Instead, email us at: **security@memvid.com** + +Include the following in your report: +- Description of the vulnerability +- Steps to reproduce +- Potential impact +- Suggested fix (if any) + +### What to Expect + +- **Acknowledgment**: We will acknowledge your report within 48 hours +- **Assessment**: We will assess the vulnerability and determine its severity +- **Fix Timeline**: Critical vulnerabilities will be addressed within 7 days +- **Disclosure**: We will coordinate with you on public disclosure timing +- **Credit**: We will credit you in our security advisories (unless you prefer anonymity) + +### Scope + +The following are in scope: +- Memory corruption vulnerabilities +- Data leakage from `.mv2` files +- Encryption bypass (when using `encryption` feature) +- Denial of service attacks +- Path traversal vulnerabilities + +### Safe Harbor + +We consider security research conducted in good faith to be authorized. We will not pursue legal action against researchers who: +- Act in good faith +- Avoid privacy violations +- Do not access or modify other users' data +- Report vulnerabilities promptly +- Give us reasonable time to fix issues before disclosure + +## Security Best Practices + +When using Memvid: + +1. **File Permissions**: Set appropriate file permissions on `.mv2` files +2. **Encryption**: Use the `encryption` feature for sensitive data +3. **Validation**: Validate input before ingesting into memory +4. **Updates**: Keep Memvid updated to the latest version + +## Security Features + +Memvid includes several security features: + +- **Checksums**: Blake3 checksums for data integrity +- **Signatures**: Ed25519 signatures for authenticity +- **Encryption**: Optional AES-256-GCM encryption (`.mv2e` capsules) +- **Crash Safety**: WAL-based recovery prevents corruption diff --git a/benches/search_precision_benchmark.rs b/benches/search_precision_benchmark.rs new file mode 100644 index 0000000..621990f --- /dev/null +++ b/benches/search_precision_benchmark.rs @@ -0,0 +1,176 @@ +//! Search precision benchmarks for implicit AND operator change. +//! +//! This benchmark suite measures the performance impact of changing the implicit +//! query operator from OR to AND. It verifies that the precision improvement +//! (33% → 100%) comes with no query latency regression. +//! +//! # Benchmarks +//! +//! - `query_two_words`: Measures latency for simple two-word queries +//! - `precision_calculation`: Measures precision metrics and filtering overhead +//! - `result_count`: Measures result set size impact +//! +//! # Running +//! +//! ```bash +//! cargo bench --bench search_precision_benchmark --features lex +//! ``` + +use criterion::{Criterion, criterion_group, criterion_main}; +use memvid_core::{Memvid, PutOptions, SearchRequest}; +use std::time::Instant; + +/// Setup test corpus +fn setup_corpus(size: usize) -> std::path::PathBuf { + let temp_file = std::env::temp_dir().join(format!("bench_{}.mv2", size)); + let _ = std::fs::remove_file(&temp_file); + + let mut mem = Memvid::create(&temp_file).unwrap(); + + let topics = [ + "machine learning neural networks", + "python programming development", + "machine learning with python", + "rust systems programming", + "web development javascript", + ]; + + for i in 0..size { + let content = format!("Document {} about {}", i, topics[i % topics.len()]); + mem.put_bytes_with_options( + content.as_bytes(), + PutOptions::builder().title(format!("Doc {}", i)).build(), + ) + .unwrap(); + + if (i + 1) % 100 == 0 { + mem.commit().unwrap(); + } + } + mem.commit().unwrap(); + temp_file +} + +fn bench_query_latency(c: &mut Criterion) { + let corpus_path = setup_corpus(1000); + + c.bench_function("query_two_words", |b| { + b.iter_custom(|iters| { + let mut total = std::time::Duration::ZERO; + for _ in 0..iters { + let mut mem = Memvid::open(&corpus_path).unwrap(); // FIX: mut + let start = Instant::now(); + let _results = mem + .search(SearchRequest { + query: "machine learning".to_string(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }) + .unwrap(); + total += start.elapsed(); + } + total + }); + }); + + std::fs::remove_file(&corpus_path).ok(); +} + +fn bench_precision(c: &mut Criterion) { + let corpus_path = setup_corpus(1000); + + c.bench_function("precision_calculation", |b| { + b.iter_custom(|iters| { + let mut total = std::time::Duration::ZERO; + for _ in 0..iters { + let mut mem = Memvid::open(&corpus_path).unwrap(); // FIX: mut + let start = Instant::now(); + let results = mem + .search(SearchRequest { + query: "machine python".to_string(), + top_k: 100, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }) + .unwrap(); + + let _relevant = results + .hits + .iter() + .filter(|hit| { + let text = hit.text.to_lowercase(); + text.contains("machine") && text.contains("python") + }) + .count(); + + total += start.elapsed(); + } + total + }); + }); + + std::fs::remove_file(&corpus_path).ok(); +} + +fn bench_result_count(c: &mut Criterion) { + let corpus_path = setup_corpus(1000); + + c.bench_function("result_count", |b| { + b.iter_custom(|iters| { + let mut total = std::time::Duration::ZERO; + for _ in 0..iters { + let mut mem = Memvid::open(&corpus_path).unwrap(); // FIX: mut + let start = Instant::now(); + let results = mem + .search(SearchRequest { + query: "machine learning".to_string(), + top_k: 100, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }) + .unwrap(); + let _count = results.hits.len(); + total += start.elapsed(); + } + total + }); + }); + + std::fs::remove_file(&corpus_path).ok(); +} + +criterion_group!( + benches, + bench_query_latency, + bench_precision, + bench_result_count +); +criterion_main!(benches); diff --git a/benches/vec_search_benchmark.rs b/benches/vec_search_benchmark.rs new file mode 100644 index 0000000..447c93f --- /dev/null +++ b/benches/vec_search_benchmark.rs @@ -0,0 +1,145 @@ +use criterion::{Criterion, black_box, criterion_group, criterion_main}; +use memvid_core::types::FrameId; +use memvid_core::vec::{VecDocument, VecIndex, VecIndexBuilder}; + +fn generate_vectors(count: usize, dim: usize) -> Vec> { + let mut vectors = Vec::with_capacity(count); + for _ in 0..count { + let mut vec = Vec::with_capacity(dim); + for _ in 0..dim { + vec.push(fastrand::f32()); + } + vectors.push(vec); + } + vectors +} + +fn bench_search_10k(c: &mut Criterion) { + let count = 10_000; + let dim = 128; // Smaller dimension for faster setup in benchmarks + let vectors = generate_vectors(count, dim); + let query = generate_vectors(1, dim).pop().unwrap(); + + // Build HNSW Index (via Builder which triggers HNSW for > 1000) + let mut builder = VecIndexBuilder::new(); + for (i, vec) in vectors.iter().enumerate() { + builder.add_document(i as FrameId, vec.clone()); + } + let artifact = builder.finish().expect("finish hnsw"); + let hnsw_index = VecIndex::decode(&artifact.bytes).expect("decode hnsw"); + + // Build Brute Force Index (Force Uncompressed) + let documents: Vec = vectors + .iter() + .enumerate() + .map(|(i, vec)| VecDocument { + frame_id: i as FrameId, + embedding: vec.clone(), + }) + .collect(); + let brute_index = VecIndex::Uncompressed { documents }; + + let mut group = c.benchmark_group("search_10k"); + + group.bench_function("hnsw", |b| { + b.iter(|| { + hnsw_index.search(black_box(&query), black_box(10)); + }) + }); + + group.bench_function("brute_force", |b| { + b.iter(|| { + brute_index.search(black_box(&query), black_box(10)); + }) + }); + + group.finish(); +} + +fn bench_search_50k(c: &mut Criterion) { + let count = 50_000; + let dim = 128; + let vectors = generate_vectors(count, dim); + let query = generate_vectors(1, dim).pop().unwrap(); + + let mut builder = VecIndexBuilder::new(); + for (i, vec) in vectors.iter().enumerate() { + builder.add_document(i as FrameId, vec.clone()); + } + let artifact = builder.finish().expect("finish hnsw"); + let hnsw_index = VecIndex::decode(&artifact.bytes).expect("decode hnsw"); + + let documents: Vec = vectors + .iter() + .enumerate() + .map(|(i, vec)| VecDocument { + frame_id: i as FrameId, + embedding: vec.clone(), + }) + .collect(); + let brute_index = VecIndex::Uncompressed { documents }; + + let mut group = c.benchmark_group("search_50k"); + + group.bench_function("hnsw", |b| { + b.iter(|| { + hnsw_index.search(black_box(&query), black_box(10)); + }) + }); + + group.bench_function("brute_force", |b| { + b.iter(|| { + brute_index.search(black_box(&query), black_box(10)); + }) + }); + + group.finish(); +} + +fn bench_search_100k(c: &mut Criterion) { + let count = 100_000; + let dim = 128; + let vectors = generate_vectors(count, dim); + let query = generate_vectors(1, dim).pop().unwrap(); + + let mut builder = VecIndexBuilder::new(); + for (i, vec) in vectors.iter().enumerate() { + builder.add_document(i as FrameId, vec.clone()); + } + let artifact = builder.finish().expect("finish hnsw"); + let hnsw_index = VecIndex::decode(&artifact.bytes).expect("decode hnsw"); + + let documents: Vec = vectors + .iter() + .enumerate() + .map(|(i, vec)| VecDocument { + frame_id: i as FrameId, + embedding: vec.clone(), + }) + .collect(); + let brute_index = VecIndex::Uncompressed { documents }; + + let mut group = c.benchmark_group("search_100k"); + + group.bench_function("hnsw", |b| { + b.iter(|| { + let _ = hnsw_index.search(black_box(&query), black_box(10)); + }) + }); + + group.bench_function("brute_force", |b| { + b.iter(|| { + let _ = brute_index.search(black_box(&query), black_box(10)); + }) + }); + + group.finish(); +} + +criterion_group!( + benches, + bench_search_10k, + bench_search_50k, + bench_search_100k +); +criterion_main!(benches); diff --git a/data/frequency_bigramdictionary_en_243_342.txt b/data/frequency_bigramdictionary_en_243_342.txt new file mode 100644 index 0000000..c7cfb00 --- /dev/null +++ b/data/frequency_bigramdictionary_en_243_342.txt @@ -0,0 +1,242342 @@ +abcs of 10956800 +aaron and 10721728 +abbott and 7861376 +abbreviations and 13518272 +aberdeen and 7347776 +ability to 2199042048 +able to 6450132352 +abolition of 39157312 +aboriginal and 33948800 +aboriginal communities 8827904 +aboriginal people 28242496 +aboriginal peoples 8516096 +about a 1384880448 +about an 245019584 +about and 118178880 +about company 16876672 +about half 127520896 +about how 915568768 +about me 251097088 +about my 303961280 +about one 181118080 +about our 589292544 +about site 11733760 +about that 446008384 +about the 8284731712 +about these 221159104 +about this 2786067008 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+insatiably 12717 +rasbora 12714 +inhibitive 12714 +can't 300000 +won't 300000 +don't 300000 +couldn't 300000 +shouldn't 300000 +wouldn't 300000 +needn't 300000 +mustn't 300000 +she'll 300000 +we'll 300000 +he'll 300000 +they'll 300000 +i'll 300000 +i'm 300000 +aren't 300000 +could've 300000 +didn't 300000 +doesn't 300000 +hadn't 300000 +hasn't 300000 +haven't 300000 +he'd 300000 +he's 300000 +here's 300000 +how'd 300000 +how'll 300000 +how're 300000 +i'd 300000 +i've 300000 +isn't 300000 +it'd 300000 +it'll 300000 +it's 300000 +let's 300000 +might've 300000 +o'clock 300000 +she'd 300000 +she's 300000 +should've 300000 +somebody's 300000 +someone's 300000 +something's 300000 +that's 300000 +there's 300000 +they'd 300000 +they're 300000 +they've 300000 +wasn't 300000 +we'd 300000 +we're 300000 +we've 300000 +weren't 300000 +what's 300000 +where's 300000 +who'd 300000 +who'll 300000 +who're 300000 +who's 300000 +why'd 300000 +why're 300000 +why's 300000 +you'd 300000 +you'll 300000 +you're 300000 +you'v 300000 +covid 300000 +hi 300000 \ No newline at end of file diff --git a/docker/README.md b/docker/README.md new file mode 100644 index 0000000..5e7f4d2 --- /dev/null +++ b/docker/README.md @@ -0,0 +1,82 @@ +# Docker Images for Memvid + +This directory contains Docker configurations for Memvid components. + +## Available Images + +### Memvid Core (`core/`) + +The Memvid Core Docker images provide containerized Rust development, testing, and build environments for the `memvid-core` library. + +**Quick Start:** +```bash +# Development environment +cd core +docker-compose up -d dev +docker-compose exec dev bash + +# Run tests +docker-compose run --rm test + +# Build release +docker-compose run --rm build +``` + +For detailed usage, see [core/README.md](core/README.md). + +### Memvid CLI (`cli/`) + +The Memvid CLI Docker image provides a containerized version of the `memvid-cli` tool, allowing you to run Memvid commands without installing Node.js or dealing with platform-specific binaries. + +**Quick Start:** + +```bash +# Pull the image +docker pull memvid/cli + +# Create a memory +docker run --rm -v $(pwd):/data memvid/cli create my-memory.mv2 + +# Add documents +docker run --rm -v $(pwd):/data memvid/cli put my-memory.mv2 --input doc.pdf + +# Search +docker run --rm -v $(pwd):/data memvid/cli find my-memory.mv2 --query "search" +``` + +For detailed usage instructions, examples, and Docker Compose configurations, see [cli/README.md](cli/README.md). + +## Building Images + +### Build CLI Image Locally + +```bash +cd cli +docker build -t memvid/cli:test . +``` + +## Publishing + +Docker images are automatically built and published to Docker Hub via GitHub Actions when tags are pushed. See `.github/workflows/docker-release.yml` for the CI/CD configuration. + +**Image Registry:** +- Docker Hub: `memvid/cli` +- Tags: `latest`, `2.0.129`, and version-specific tags + +## Architecture Support + +The CLI image supports multi-architecture builds: +- `linux/amd64` +- `linux/arm64` + +## Security + +The CLI image runs as a non-root user (`memvid`) for improved security. When mounting volumes, ensure your host directories have appropriate permissions. + +## Links + +- [Core Documentation](core/README.md) +- [CLI Documentation](cli/README.md) +- [CLI Testing Guide](cli/TESTING.md) +- [Main Project README](../README.md) +- [Memvid Documentation](https://docs.memvid.com) diff --git a/docker/cli/.dockerignore b/docker/cli/.dockerignore new file mode 100644 index 0000000..456e146 --- /dev/null +++ b/docker/cli/.dockerignore @@ -0,0 +1,7 @@ +node_modules +npm-debug.log +.git +.gitignore +*.md +.env +.DS_Store diff --git a/docker/cli/Dockerfile b/docker/cli/Dockerfile new file mode 100644 index 0000000..d478223 --- /dev/null +++ b/docker/cli/Dockerfile @@ -0,0 +1,33 @@ +# Memvid CLI Docker Image +FROM ubuntu:24.04 + +LABEL org.opencontainers.image.title="Memvid CLI" +LABEL org.opencontainers.image.description="AI memory CLI with semantic search" +LABEL org.opencontainers.image.url="https://memvid.com" +LABEL org.opencontainers.image.source="https://github.com/memvid/memvid" +LABEL org.opencontainers.image.vendor="Memvid" +LABEL org.opencontainers.image.version="2.0.131" + +# Install system deps + Node.js 24 +RUN apt-get update && apt-get install -y --no-install-recommends \ + ca-certificates \ + curl \ + libssl3 \ + && curl -fsSL https://deb.nodesource.com/setup_24.x | bash - \ + && apt-get install -y --no-install-recommends nodejs \ + && rm -rf /var/lib/apt/lists/* + +# Install memvid CLI (pinned version) +RUN npm install -g memvid-cli@latest \ + && npm cache clean --force + +# Create non-root user (recommended) +RUN useradd -m memvid +USER memvid + +# Working directory for memory files +WORKDIR /data + +# Entrypoint +ENTRYPOINT ["memvid"] +CMD ["--help"] diff --git a/docker/cli/README.md b/docker/cli/README.md new file mode 100644 index 0000000..2c8454a --- /dev/null +++ b/docker/cli/README.md @@ -0,0 +1,101 @@ +# Memvid CLI Docker Image + +AI memory CLI with crash-safe, single-file storage and semantic search. + +## Quick Start + +```bash +# Pull the image +docker pull memvid/cli + +# Create a memory +docker run --rm -v $(pwd):/data memvid/cli create my-memory.mv2 + +# Add documents +docker run --rm -v $(pwd):/data memvid/cli put my-memory.mv2 --input doc.pdf + +# Search +docker run --rm -v $(pwd):/data memvid/cli find my-memory.mv2 --query "search" +``` + +## Basic Commands + +```bash +# Show help +docker run --rm memvid/cli + +# Show version +docker run --rm memvid/cli --version + +# Create a memory file (mount local directory) +docker run --rm -v $(pwd):/data memvid/cli create my-memory.mv2 + +# Ingest a document +docker run --rm -v $(pwd):/data memvid/cli put my-memory.mv2 --input document.pdf + +# Search the memory +docker run --rm -v $(pwd):/data memvid/cli find my-memory.mv2 --query "search term" + +# Ask questions (requires API key for LLM) +docker run --rm -v $(pwd):/data \ + -e OPENAI_API_KEY="sk-..." \ + memvid/cli ask my-memory.mv2 "What is this about?" -m openai + +# View stats +docker run --rm -v $(pwd):/data memvid/cli stats my-memory.mv2 +``` + +## With API Keys + +```bash +# Pass Memvid API key for cloud features +docker run --rm -v $(pwd):/data \ + -e MEMVID_API_KEY="mv2_..." \ + -e OPENAI_API_KEY="sk-..." \ + memvid/cli ask my-memory.mv2 "your question" +``` + +## Shell Alias (Recommended) + +Add to `~/.bashrc` or `~/.zshrc`: + +```bash +alias memvid='docker run --rm -v $(pwd):/data -e MEMVID_API_KEY -e OPENAI_API_KEY memvid/cli' +``` + +Then use normally: + +```bash +memvid create my-memory.mv2 +memvid put my-memory.mv2 --input docs/ +memvid find my-memory.mv2 --query "hello" +``` + +## Docker Compose Example + +```yaml +version: '3.8' +services: + memvid: + image: memvid/cli:latest + volumes: + - ./data:/data + environment: + - MEMVID_API_KEY=${MEMVID_API_KEY} + - OPENAI_API_KEY=${OPENAI_API_KEY} + entrypoint: ["memvid"] + command: ["stats", "my-memory.mv2"] +``` + +## Features + +- Single-file `.mv2` storage +- Semantic + lexical search +- RAG question answering +- PDF, DOCX, images, audio support + +## Links + +- Website: https://memvid.com +- Docs: https://docs.memvid.com +- GitHub: https://github.com/memvid/memvid diff --git a/docker/cli/TESTING.md b/docker/cli/TESTING.md new file mode 100644 index 0000000..9535a3a --- /dev/null +++ b/docker/cli/TESTING.md @@ -0,0 +1,108 @@ +# Testing Memvid CLI Docker Image + +## Quick Test + +### 1. Build the Image + +```bash +cd docker/cli +docker build -t memvid/cli:test . +``` + +### 2. Test Basic Commands + +```bash +# Test help command +docker run --rm memvid/cli:test --help + +# Test version (if available) +docker run --rm memvid/cli:test --version +``` + +### 3. Test with Volume Mount + +```bash +# Create a test directory +mkdir -p /tmp/memvid-test +cd /tmp/memvid-test + +# Create a test document +echo "This is a test document about AI and machine learning." > test.txt + +# Create a memory file +docker run --rm \ + -v $(pwd):/data \ + memvid/cli:test create test-memory.mv2 + +# Add the document +docker run --rm \ + -v $(pwd):/data \ + memvid/cli:test put test-memory.mv2 --input test.txt + +# Search the memory +docker run --rm \ + -v $(pwd):/data \ + memvid/cli:test find test-memory.mv2 --query "AI" + +# View stats +docker run --rm \ + -v $(pwd):/data \ + memvid/cli:test stats test-memory.mv2 +``` + +### 4. Test with API Keys (if needed) + +```bash +docker run --rm \ + -v $(pwd):/data \ + -e OPENAI_API_KEY="sk-..." \ + memvid/cli:test ask test-memory.mv2 "What is this about?" -m openai +``` + +## Automated Testing + +Run the test script: + +```bash +cd docker/cli +./test.sh +``` + +## Multi-Architecture Testing + +To test multi-arch builds locally (requires buildx): + +```bash +# Create builder +docker buildx create --name memvid-builder --use + +# Build for specific platform +docker buildx build \ + --platform linux/amd64 \ + --tag memvid/cli:test-amd64 \ + --load \ + . + +# Test the amd64 image +docker run --rm memvid/cli:test-amd64 --help +``` + +## Troubleshooting + +### Image not found +Make sure you've built the image: +```bash +docker build -t memvid/cli:test docker/cli +``` + +### Permission errors +Ensure Docker has permission to access the mounted directory: +```bash +chmod 755 /path/to/your/directory +``` + +### CLI not found +Verify the npm package exists: +```bash +docker run --rm memvid/cli:test which memvid +``` diff --git a/docker/cli/test.sh b/docker/cli/test.sh new file mode 100755 index 0000000..fc0bcef --- /dev/null +++ b/docker/cli/test.sh @@ -0,0 +1,44 @@ +#!/bin/bash +# Test script for Memvid CLI Docker image + +set -e + +IMAGE_NAME="memvid/cli:test" +DOCKERFILE_DIR="$(cd "$(dirname "$0")" && pwd)" + +echo "🐳 Building Docker image..." +docker build -t "$IMAGE_NAME" "$DOCKERFILE_DIR" + +echo "" +echo "✅ Build complete! Testing basic commands..." +echo "" + +echo "1️⃣ Testing help command..." +docker run --rm "$IMAGE_NAME" --help | head -5 + +echo "" +echo "2️⃣ Testing version command..." +docker run --rm "$IMAGE_NAME" --version || echo "Version command not available" + +echo "" +echo "3️⃣ Testing with volume mount (create test memory)..." +TEST_DIR=$(mktemp -d) +cd "$TEST_DIR" + +# Create a test document +echo "This is a test document about artificial intelligence and machine learning." > test.txt + +docker run --rm \ + -v "$TEST_DIR":/data \ + "$IMAGE_NAME" create test-memory.mv2 || echo "Create command may require additional setup" + +echo "" +echo "🧹 Cleaning up test directory..." +rm -rf "$TEST_DIR" + +echo "" +echo "✅ Basic tests complete!" +echo "" +echo "To test manually, run:" +echo " docker run --rm $IMAGE_NAME --help" +echo " docker run --rm -v \$(pwd):/data $IMAGE_NAME create my-memory.mv2" diff --git a/docker/core/DOCKER.md b/docker/core/DOCKER.md new file mode 100644 index 0000000..185dcb7 --- /dev/null +++ b/docker/core/DOCKER.md @@ -0,0 +1,215 @@ +# Docker Setup for Memvid Core + +This document describes how to use Docker with the Memvid Core Rust library. + +## Quick Start + +### Development Environment + +```bash +# From project root or docker/core directory +cd docker/core +docker-compose up -d dev + +# Enter the container +docker-compose exec dev bash + +# Inside container, you can run: +cargo build +cargo test +cargo run --example basic_usage +``` + +### Run Tests + +```bash +# Run all tests +cd docker/core +docker-compose run --rm test + +# Or build test image manually (from project root) +docker build -f docker/core/Dockerfile.test -t memvid-test . +docker run --rm memvid-test +``` + +### Build Release + +```bash +# Build release version +cd docker/core +docker-compose run --rm build + +# Or build manually (from project root) +docker build -f docker/core/Dockerfile -t memvid-core:latest . +``` + +## Docker Images + +### 1. Development Image (`Dockerfile.dev`) + +Full development environment with all tools: + +```bash +# From project root +docker build -f docker/core/Dockerfile.dev -t memvid-dev . +docker run -it --rm -v $(pwd):/app memvid-dev bash +``` + +**Features:** +- Rust toolchain 1.92 +- All build dependencies +- Cargo watch (optional) +- Volume mounting for live development + +### 2. Test Image (`Dockerfile.test`) + +Optimized for running tests: + +```bash +# From project root +docker build -f docker/core/Dockerfile.test -t memvid-test . +docker run --rm memvid-test +``` + +**Features:** +- Rust toolchain 1.92 +- Test dependencies +- Runs tests automatically + +### 3. Production Build (`Dockerfile`) + +Multi-stage build for optimized production image: + +```bash +# From project root +docker build -f docker/core/Dockerfile -t memvid-core:latest . +``` + +**Features:** +- Multi-stage build (smaller final image) +- Only runtime dependencies +- Optimized release build + +## Docker Compose + +### Services + +- **`dev`** - Development environment with live code mounting +- **`test`** - Test runner +- **`build`** - Release builder + +### Usage + +```bash +# Start development environment +docker-compose up -d dev + +# Run tests +docker-compose run --rm test + +# Build release +docker-compose run --rm build + +# Stop all services +docker-compose down +``` + +## Examples + +### Run Examples in Docker + +```bash +# Development container +docker-compose exec dev cargo run --example basic_usage + +# With features +docker-compose exec dev cargo run --example pdf_ingestion --features lex,pdf_extract +``` + +### Memory-Constrained Testing + +Test OOM prevention with memory limits: + +```bash +# Test with memory limit (for OOM testing) +docker run --rm --memory=150m --memory-swap=150m \ + -v $(pwd):/app \ + memvid-test cargo test --features encryption --test encryption_capsule +``` + +### Build with Specific Features + +```bash +# Build with all features +docker-compose exec dev cargo build --release --all-features + +# Build with specific features +docker-compose exec dev cargo build --release --features lex,vec,encryption +``` + +## Volume Mounts + +The docker-compose setup uses volumes for: +- **Source code** - Live mounting for development +- **Cargo cache** - Speeds up builds +- **Target cache** - Preserves build artifacts + +## CI/CD Integration + +### GitHub Actions Example + +```yaml +name: Docker Build + +on: [push, pull_request] + +jobs: + build: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - name: Build Docker image + run: docker build -t memvid-core:test . + - name: Run tests + run: docker run --rm memvid-core:test cargo test +``` + +## Troubleshooting + +### Build Fails + +```bash +# Clean build +docker-compose down -v +docker-compose build --no-cache +``` + +### Permission Issues + +```bash +# Fix permissions +sudo chown -R $USER:$USER . +``` + +### Out of Memory + +```bash +# Increase Docker memory limit in Docker Desktop settings +# Or use memory limits in docker run: +docker run --memory=2g --memory-swap=2g ... +``` + +## Best Practices + +1. **Use docker-compose** for development +2. **Cache volumes** for faster builds +3. **Multi-stage builds** for production +4. **Test in containers** to match CI/CD environment +5. **Use .dockerignore** to exclude unnecessary files + +## Related + +- [CLI Docker Setup](../cli/README.md) +- [Docker Overview](../README.md) +- [Main Project README](../../README.md) +- [Contributing Guide](../../CONTRIBUTING.md) diff --git a/docker/core/Dockerfile b/docker/core/Dockerfile new file mode 100644 index 0000000..7a1138b --- /dev/null +++ b/docker/core/Dockerfile @@ -0,0 +1,53 @@ +# Multi-stage Dockerfile for Memvid Core (Rust Library) +# Build stage +FROM rust:1.92-slim-trixie AS builder + +# Install build dependencies +RUN apt-get update && apt-get install -y --no-install-recommends \ + pkg-config \ + libssl-dev \ + ca-certificates \ + && rm -rf /var/lib/apt/lists/* + +WORKDIR /app + +# Copy dependency files first for better caching +COPY Cargo.toml Cargo.lock ./ +COPY rust-toolchain.toml ./ + +# Create a dummy src/lib.rs to build dependencies +RUN mkdir -p src && \ + echo "// Dummy file for dependency building" > src/lib.rs && \ + cargo build --release --features lex,pdf_extract && \ + rm -rf src + +# Copy source code +COPY src ./src +COPY examples ./examples +COPY tests ./tests + +# Build the library with default features +RUN cargo build --release --features lex,pdf_extract + +# Runtime stage - minimal image for running examples/tests +FROM debian:trixie-slim AS runtime + +# Install runtime dependencies +RUN apt-get update && apt-get install -y --no-install-recommends \ + ca-certificates \ + libssl3 \ + && rm -rf /var/lib/apt/lists/* + +WORKDIR /app + +# Copy the built artifacts from builder +COPY --from=builder /app/target/release/examples ./examples +COPY --from=builder /app/target/release/deps ./deps +COPY --from=builder /app/target/release/libmemvid_core*.rlib ./lib/ + +# Set environment variables +ENV RUST_LOG=info +ENV PATH="/app/examples:${PATH}" + +# Default command +CMD ["/bin/bash"] diff --git a/docker/core/Dockerfile.dev b/docker/core/Dockerfile.dev new file mode 100644 index 0000000..ef4aba2 --- /dev/null +++ b/docker/core/Dockerfile.dev @@ -0,0 +1,31 @@ +# Development Dockerfile for Memvid Core +FROM rust:1.92-slim-trixie AS builder + +# Install development dependencies +RUN apt-get update && apt-get install -y --no-install-recommends \ + pkg-config \ + libssl-dev \ + ca-certificates \ + git \ + curl \ + build-essential \ + && rm -rf /var/lib/apt/lists/* + +WORKDIR /app + +# Copy dependency files +COPY Cargo.toml Cargo.lock ./ +COPY rust-toolchain.toml ./ + +# Install cargo-watch for development (optional) +RUN cargo install cargo-watch --locked || true + +# Copy source code +COPY . . + +# Set environment variables +ENV RUST_LOG=debug +ENV CARGO_TARGET_DIR=/app/target + +# Default command (can be overridden) +CMD ["/bin/bash"] diff --git a/docker/core/Dockerfile.test b/docker/core/Dockerfile.test new file mode 100644 index 0000000..94d22da --- /dev/null +++ b/docker/core/Dockerfile.test @@ -0,0 +1,23 @@ +# Test Dockerfile for Memvid Core +FROM rust:1.92-slim-trixie AS builder + +# Install test dependencies +RUN apt-get update && apt-get install -y --no-install-recommends \ + pkg-config \ + libssl-dev \ + ca-certificates \ + git \ + && rm -rf /var/lib/apt/lists/* + +WORKDIR /app + +# Copy everything +COPY . . + +# Set environment variables for testing +ENV RUST_BACKTRACE=1 +ENV RUST_LOG=info +ENV CARGO_TARGET_DIR=/app/target + +# Run tests with default features +CMD ["cargo", "test", "--features", "lex,pdf_extract", "--", "--nocapture"] diff --git a/docker/core/README.md b/docker/core/README.md new file mode 100644 index 0000000..185dcb7 --- /dev/null +++ b/docker/core/README.md @@ -0,0 +1,215 @@ +# Docker Setup for Memvid Core + +This document describes how to use Docker with the Memvid Core Rust library. + +## Quick Start + +### Development Environment + +```bash +# From project root or docker/core directory +cd docker/core +docker-compose up -d dev + +# Enter the container +docker-compose exec dev bash + +# Inside container, you can run: +cargo build +cargo test +cargo run --example basic_usage +``` + +### Run Tests + +```bash +# Run all tests +cd docker/core +docker-compose run --rm test + +# Or build test image manually (from project root) +docker build -f docker/core/Dockerfile.test -t memvid-test . +docker run --rm memvid-test +``` + +### Build Release + +```bash +# Build release version +cd docker/core +docker-compose run --rm build + +# Or build manually (from project root) +docker build -f docker/core/Dockerfile -t memvid-core:latest . +``` + +## Docker Images + +### 1. Development Image (`Dockerfile.dev`) + +Full development environment with all tools: + +```bash +# From project root +docker build -f docker/core/Dockerfile.dev -t memvid-dev . +docker run -it --rm -v $(pwd):/app memvid-dev bash +``` + +**Features:** +- Rust toolchain 1.92 +- All build dependencies +- Cargo watch (optional) +- Volume mounting for live development + +### 2. Test Image (`Dockerfile.test`) + +Optimized for running tests: + +```bash +# From project root +docker build -f docker/core/Dockerfile.test -t memvid-test . +docker run --rm memvid-test +``` + +**Features:** +- Rust toolchain 1.92 +- Test dependencies +- Runs tests automatically + +### 3. Production Build (`Dockerfile`) + +Multi-stage build for optimized production image: + +```bash +# From project root +docker build -f docker/core/Dockerfile -t memvid-core:latest . +``` + +**Features:** +- Multi-stage build (smaller final image) +- Only runtime dependencies +- Optimized release build + +## Docker Compose + +### Services + +- **`dev`** - Development environment with live code mounting +- **`test`** - Test runner +- **`build`** - Release builder + +### Usage + +```bash +# Start development environment +docker-compose up -d dev + +# Run tests +docker-compose run --rm test + +# Build release +docker-compose run --rm build + +# Stop all services +docker-compose down +``` + +## Examples + +### Run Examples in Docker + +```bash +# Development container +docker-compose exec dev cargo run --example basic_usage + +# With features +docker-compose exec dev cargo run --example pdf_ingestion --features lex,pdf_extract +``` + +### Memory-Constrained Testing + +Test OOM prevention with memory limits: + +```bash +# Test with memory limit (for OOM testing) +docker run --rm --memory=150m --memory-swap=150m \ + -v $(pwd):/app \ + memvid-test cargo test --features encryption --test encryption_capsule +``` + +### Build with Specific Features + +```bash +# Build with all features +docker-compose exec dev cargo build --release --all-features + +# Build with specific features +docker-compose exec dev cargo build --release --features lex,vec,encryption +``` + +## Volume Mounts + +The docker-compose setup uses volumes for: +- **Source code** - Live mounting for development +- **Cargo cache** - Speeds up builds +- **Target cache** - Preserves build artifacts + +## CI/CD Integration + +### GitHub Actions Example + +```yaml +name: Docker Build + +on: [push, pull_request] + +jobs: + build: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - name: Build Docker image + run: docker build -t memvid-core:test . + - name: Run tests + run: docker run --rm memvid-core:test cargo test +``` + +## Troubleshooting + +### Build Fails + +```bash +# Clean build +docker-compose down -v +docker-compose build --no-cache +``` + +### Permission Issues + +```bash +# Fix permissions +sudo chown -R $USER:$USER . +``` + +### Out of Memory + +```bash +# Increase Docker memory limit in Docker Desktop settings +# Or use memory limits in docker run: +docker run --memory=2g --memory-swap=2g ... +``` + +## Best Practices + +1. **Use docker-compose** for development +2. **Cache volumes** for faster builds +3. **Multi-stage builds** for production +4. **Test in containers** to match CI/CD environment +5. **Use .dockerignore** to exclude unnecessary files + +## Related + +- [CLI Docker Setup](../cli/README.md) +- [Docker Overview](../README.md) +- [Main Project README](../../README.md) +- [Contributing Guide](../../CONTRIBUTING.md) diff --git a/docker/core/docker-compose.yml b/docker/core/docker-compose.yml new file mode 100644 index 0000000..7ec2bfa --- /dev/null +++ b/docker/core/docker-compose.yml @@ -0,0 +1,46 @@ +services: + # Development environment + dev: + build: + context: ../.. + dockerfile: docker/core/Dockerfile.dev + volumes: + - ../../:/app + - cargo-cache:/usr/local/cargo/registry + - target-cache:/app/target + environment: + - RUST_LOG=debug + - CARGO_TARGET_DIR=/app/target + stdin_open: true + tty: true + command: /bin/bash + + # Test runner + test: + build: + context: ../.. + dockerfile: docker/core/Dockerfile.test + volumes: + - ../../:/app + - cargo-cache:/usr/local/cargo/registry + - target-cache:/app/target + environment: + - RUST_BACKTRACE=1 + - RUST_LOG=info + command: cargo test --features lex,pdf_extract -- --nocapture + + # Build release + build: + build: + context: ../.. + dockerfile: docker/core/Dockerfile + target: builder + volumes: + - ../../:/app + - cargo-cache:/usr/local/cargo/registry + - target-cache:/app/target + command: cargo build --release --features lex,pdf_extract + +volumes: + cargo-cache: + target-cache: diff --git a/docs/i18n/CONTRIBUTING_TRANSLATIONS.md b/docs/i18n/CONTRIBUTING_TRANSLATIONS.md new file mode 100644 index 0000000..c4a0835 --- /dev/null +++ b/docs/i18n/CONTRIBUTING_TRANSLATIONS.md @@ -0,0 +1,125 @@ +# Contributing Translations (i18n) + +Thank you for helping translate Memvid’s documentation and make the project accessible to a global audience. + +This guide explains how to contribute translations for the main `README.md`. + +--- + +## What Can Be Translated + +- The main repository `README.md` +- Translations are stored in `docs/i18n/` +- Each language has a single translation file + +--- + +## Translation Workflow + +### 1. Check Existing Issues + +Before starting: +- Check open issues to see if your language is already in progress +- If an issue exists, comment on it to indicate you want to work on it +- Only one contributor should work on a language at a time + +--- + +### 2. Create a Translation Issue (If Needed) + +If no issue exists for your language, open a new one using this format: + +**Title:** +``` +README translation: () +``` + +**Labels to apply:** +- `i18n` +- `documentation` +- `help wanted` or `good first issue` + +--- + +### 3. Create the Translation File + +1. Copy the main `README.md` from the repository root +2. Create a new file in `docs/i18n/` using this format: + + ``` + README..md + ``` + + **Examples:** +- `README.es.md` +- `README.zh-CN.md` +- `README.pt-BR.md` + +Use standard ISO language codes (include region where applicable). + +--- + +## Translation Guidelines + +- **Preserve structure** + Keep headings, section order, and formatting identical to the original README + +- **Preserve links and badges** + Do not modify URLs, badges, or shields + +- **Preserve code blocks** + Keep code examples, commands, flags, and API names in English + +- **Maintain technical accuracy** + Translate naturally, but do not change meaning or behavior + +- **Language quality matters** + Native or fluent speakers are strongly preferred + +--- + +## Submitting Your Translation + +1. **Create a new branch:** + ```bash + git checkout -b docs/i18n- + ``` + +2. **Add your translation file** under `docs/i18n/` + +3. **Commit your changes:** + ```bash + git commit -m "docs(i18n): add README translation" + ``` + +4. **Push to your fork** and open a Pull Request + +5. **Reference the translation issue** in your PR description + +--- + +## Review Process + +- Maintainers may request: + - Clarifications + - Formatting fixes + - Review by another native speaker +- Once approved, the PR will be merged +- The corresponding issue will be closed + +--- + +## Keeping Translations Up to Date + +When the main `README.md` changes significantly: + +- Existing translations may need updates +- Contributors are encouraged to help keep translations in sync + +--- + +## Getting Help + +- Open an issue if you have questions about translations +- Use GitHub Discussions for coordination +- Contact: [contact@memvid.com](mailto:contact@memvid.com) diff --git a/docs/i18n/README.ar.md b/docs/i18n/README.ar.md new file mode 100644 index 0000000..a164701 --- /dev/null +++ b/docs/i18n/README.ar.md @@ -0,0 +1,160 @@ + +Social Cover (9) + + + +

+ 🇺🇸 English + 🇪🇸 Español + 🇫🇷 Français + 🇸🇴 Soomaali + 🇸🇦 العربية + 🇧🇪/🇳🇱 Nederlands + 🇮🇳 हिन्दी + 🇧🇩 বাংলা + 🇨🇿 Čeština + 🇰🇷 한국어 + 🇯🇵 日本語 + +

+ + + +

+ Website + · + Try Sandbox + · + Docs + · + Discussions +

+ + + +

+ Crates.io + docs.rs + License +

+ +

+ Stars + Forks + Issues + Discord +

+ +

+ memvid%2Fmemvid | Trendshift +

+ + +# المساهمة في Memvid (الترجمة العربية) + +

+Memvid هي طبقة ذاكرة مكونة من ملف واحد لوكلاء الذكاء الاصطناعي (AI Agents)، توفر استرجاعاً فورياً وذاكرة طويلة المدى. + +ذاكرة دائمة، مؤرشفة، وقابلة للنقل، دون الحاجة إلى قواعد بيانات. + +

+ +

⭐️ اترك نجمة (STAR) لدعم المشروع ⭐️

+ +--- + +## ما هو Memvid؟ + +Memvid هو نظام ذاكرة محمول للذكاء الاصطناعي يقوم بتغليف بياناتك، والمتجهات (Embeddings)، وهيكل البحث، والبيانات الوصفية في **ملف واحد فقط**. + +بدلاً من تشغيل خطوط أنابيب RAG معقدة أو قواعد بيانات متجهة تعتمد على الخادم، يتيح Memvid استرجاعاً سريعاً للبيانات مباشرة من الملف. + +النتيجة هي طبقة ذاكرة مستقلة عن النموذج (Model-agnostic) ولا تحتاج إلى بنية تحتية، مما يمنح وكلاء الذكاء الاصطناعي ذاكرة دائمة وطويلة المدى يمكنهم حملها في أي مكان. + +--- + +## لماذا "إطارات الفيديو" (Video Frames)؟ + +يستلهم Memvid فكرته من ترميز الفيديو، ليس لتخزين الفيديو، بل **لتنظيم ذاكرة الذكاء الاصطناعي كمتسلسلة فائقة الكفاءة من "الإطارات الذكية" (Smart Frames) التي تُضاف باستمرار.** + +"الإطار الذكي" هو وحدة غير قابلة للتغيير تخزن المحتوى مع الطوابع الزمنية، والتحقق من البيانات (Checksums)، والبيانات الوصفية الأساسية. يتم تجميع هذه الإطارات بطريقة تسمح بضغط البيانات وفهرستها والقراءة المتوازية بكفاءة عالية. + +يسمح هذا التصميم بـ: + +- **إضافة البيانات فقط:** الكتابة دون تعديل أو إفساد البيانات الموجودة. +- **الاستعلام عبر الزمن:** البحث في حالات الذاكرة السابقة. +- **جدول زمني للمعرفة:** فحص كيفية تطور المعرفة بمرور الوقت. +- **سلامة البيانات:** ضمان عدم فقدان البيانات عند التعطل بفضل الإطارات الثابتة. + +--- + +## المفاهيم الأساسية + +- **محرك الذاكرة الحية:** إضافة وتطوير الذاكرة باستمرار عبر الجلسات. +- **كبسولة السياق (`.mv2`):** كبسولات ذاكرة ذاتية الاحتواء وقابلة للمشاركة مع قواعد وصلاحية محددة. +- **تصحيح السفر عبر الزمن:** إرجاع أو إعادة تشغيل أو تفريع أي حالة من حالات الذاكرة. +- **الاستدعاء الذكي:** وصول محلي للذاكرة في أقل من 5 ملي ثانية مع ذاكرة تخزين مؤقت تنبؤية. +- **ذكاء الترميز:** يختار ويحدث تقنيات الضغط تلقائياً بمرور الوقت. + +--- + +## حالات الاستخدام + +نظرًا لأن Memvid يعمل دون اتصال بالإنترنت ومستقل عن النماذج، فإنه يُستخدم في: + +- وكلاء الذكاء الاصطناعي طويلي الأمد. +- قواعد المعرفة للمؤسسات. +- أنظمة الذكاء الاصطناعي التي تعمل "بدون إنترنت أولاً". +- فهم الأكواد البرمجية (Codebases). +- المساعدين الشخصيين والأنظمة الطبية والقانونية والمالية. + +--- + +## أدوات المطورين (SDKs) + +| الحزمة | طريقة التثبيت | +| ----------------------------- | --------------------------- | +| **واجهة السطر البرمجي (CLI)** | `npm install -g memvid-cli` | +| **Node.js SDK** | `npm install @memvid/sdk` | +| **Python SDK** | `pip install memvid-sdk` | +| **Rust** | `cargo add memvid-core` | + +--- + +## هيكل الملف + +كل شيء يعيش داخل ملف واحد بصيغة `.mv2`: + +``` +┌────────────────────────────┐ +│ Header (4KB) │ العنوان: النسخة والقدرة الاستيعابية +├────────────────────────────┤ +│ Embedded WAL (1-64MB) │ سجل العمليات للتعافي من الأعطال +├────────────────────────────┤ +│ Data Segments │ أجزاء البيانات: الإطارات المضغوطة +├────────────────────────────┤ +│ Lex Index │ الفهرس اللغوي: البحث النصي الكامل +├────────────────────────────┤ +│ Vec Index │ الفهرس المتجهي: البحث بالمتجهات (HNSW) +├────────────────────────────┤ +│ Time Index │ الفهرس الزمني: الترتيب الزمني +├────────────────────────────┤ +│ TOC (Footer) │ جدول المحتويات: مواقع الأجزاء +└────────────────────────────┘ + +``` + +--- + +## الدعم + +هل لديك أسئلة؟ +البريد الإلكتروني: contact@memvid.com + +**لا تنسَ ترك ⭐ لدعم المشروع!** + +--- + +## الترخيص + +رخصة Apache 2.0 — راجع ملف [LICENSE](../../LICENSE) لمزيد من التفاصيل. diff --git a/docs/i18n/README.bn.md b/docs/i18n/README.bn.md new file mode 100644 index 0000000..0f5ea6b --- /dev/null +++ b/docs/i18n/README.bn.md @@ -0,0 +1,379 @@ + +Social Cover (9) + + + +

+ 🇺🇸 English + 🇪🇸 Español + 🇫🇷 Français + 🇸🇴 Soomaali + 🇸🇦 العربية + 🇧🇪/🇳🇱 Nederlands + 🇮🇳 हिन्दी + 🇧🇩 বাংলা + 🇨🇿 Čeština + 🇰🇷 한국어 + 🇯🇵 日本語 + +

+ + + +

+ Website + · + Try Sandbox + · + Docs + · + Discussions +

+ + + +

+ Crates.io + docs.rs + License +

+ +

+ Stars + Forks + Issues + Discord +

+ +

+ memvid%2Fmemvid | Trendshift +

+ + + +# মেমভিড-এ অবদান (বাংলা অনুবাদ) + +

+ মেমভিড হল এআই এজেন্টদের জন্য একটি একক-ফাইল মেমরি স্তর যার তাৎক্ষণিক পুনরুদ্ধার এবং দীর্ঘমেয়াদী মেমরি রয়েছে।
+ ডাটাবেস ছাড়াই স্থায়ী, সংস্করণযুক্ত এবং পোর্টেবল মেমরি। +

+ +

+ ওয়েবসাইট + · + স্যান্ডবক্সি চেষ্টা করে দেখুন + · + ডক্স + · + আলোচনা +

+ +

+ Crates.io + docs.rs + License +

+ +

+ Stars + Forks + Issues + Discord +

+ +

+ memvid%2Fmemvid | Trendshift +

+ +

⭐️ প্রকল্পটি সমর্থন করার জন্য একটি তারকা দিন। ⭐️

+

+ +## মেমভিড কী? + +মেমভিড হল একটি পোর্টেবল এআই মেমরি সিস্টেম যা আপনার ডেটা, এম্বেডিং, অনুসন্ধান কাঠামো এবং মেটাডেটা একটি একক ফাইলে প্যাক করে। + +জটিল RAG পাইপলাইন বা সার্ভার-ভিত্তিক ভেক্টর ডাটাবেস চালানোর পরিবর্তে, Memvid ফাইল থেকে সরাসরি দ্রুত ডেটা পুনরুদ্ধারে সহায়তা করে। + +ফলাফল হল একটি মডেল-অজ্ঞেয়বাদী, অবকাঠামো-মুক্ত মেমোরি স্তর যা AI এজেন্টদের স্থায়ী, দীর্ঘমেয়াদী মেমোরি দেয় যা তারা যেকোনো জায়গায় নিতে পারে। +--- + +## ভিডিও ফ্রেম কেন? + +মেমভিড ভিডিও এনকোডিং থেকে অনুপ্রেরণা নেয়, ভিডিও সংরক্ষণের জন্য নয়, বরং এআই মেমোরিকে অ্যাপেন্ড-ওনলি, স্মার্ট ফ্রেমের অতি-দক্ষ সিকোয়েন্স হিসেবে সংগঠিত করার জন্য। + +একটি স্মার্ট ফ্রেম হল একটি অ-পরিবর্তনযোগ্য ইউনিট যা টাইমস্ট্যাম্প, চেকসাম এবং মৌলিক মেটাডেটা সহ বিষয়বস্তু সংরক্ষণ করে। +ফ্রেমগুলিকে এমনভাবে গোষ্ঠীভুক্ত করা হয় যা দক্ষ কম্প্রেশন, ইনডেক্সিং এবং সমান্তরাল পঠনের সুযোগ করে দেয়। + +এই ফ্রেম-ভিত্তিক নকশাটি সক্ষম করে: + +- বিদ্যমান ডেটা পরিবর্তন বা দূষিত না করে কেবল ডেটা যোগ করা +- পূর্ববর্তী মেমরি অবস্থা অনুসন্ধান করা +- জ্ঞান কীভাবে বিকশিত হয় তার টাইমলাইন-স্টাইল তদন্ত +- প্রতিশ্রুতিবদ্ধ, অপরিবর্তনীয় ফ্রেমের মাধ্যমে ক্র্যাশ সুরক্ষা +- ভিডিও এনকোডিং থেকে গৃহীত কৌশল ব্যবহার করে দক্ষ কম্প্রেশন। + +ফলাফল হল একটি একক ফাইল যা AI সিস্টেমের জন্য একটি রিওয়াইন্ডেবল মেমরি টাইমলাইন হিসাবে কাজ করে। + +--- + +## মূল ধারণা + +- **লিভিং মেমোরি ইঞ্জিন** + +একটি সেশনের সময় স্থায়ী মেমোরি যোগ করুন, শাখা করুন এবং বিকশিত করুন। + +- **ক্যাপসুল রেফারেন্স (`.mv2`)** + +নিয়ম এবং মেয়াদোত্তীর্ণতা সহ স্বয়ংসম্পূর্ণ, শেয়ারযোগ্য মেমোরি ক্যাপসুল। + +- **টাইম-ট্রাভেল ডিবাগিং** + +যেকোন মেমোরি স্টেট রিওয়াইন্ড, রিপ্লে বা শাখা করুন। + +- **স্মার্ট রিকল** + +প্রেডিক্টিভ ক্যাশিং সহ সাব-5ms স্থানীয় মেমোরি অ্যাক্সেস। + +- **কোডেক ইন্টেলিজেন্স** + +সময়ের সাথে সাথে স্বয়ংক্রিয়ভাবে কম্প্রেশন নির্বাচন এবং আপগ্রেড করে। + +--- + +## ব্যবহারের ক্ষেত্রে + +মেমভিড হল একটি পোর্টেবল, সার্ভারলেস মেমরি স্তর যা এআই এজেন্টদের স্থায়ী মেমরি এবং দ্রুত রিকল দেয়। যেহেতু এটি মডেল-অ্যাগনস্টিক, মাল্টি-মডেল এবং সম্পূর্ণ অফলাইনে কাজ করে, তাই ডেভেলপাররা বিভিন্ন বাস্তব-বিশ্ব অ্যাপ্লিকেশনে মেমভিড ব্যবহার করছে। + +- দীর্ঘমেয়াদী এআই এজেন্ট +- এন্টারপ্রাইজ জ্ঞান ভিত্তি +- অফলাইন-প্রথম এআই সিস্টেম +- কোডবেস বোঝা +- গ্রাহক সহায়তা এজেন্ট +- ওয়ার্কফ্লো অটোমেশন +- বিক্রয় এবং বিপণন সহ-পাইলট +- ব্যক্তিগত জ্ঞান সহকারী +- চিকিৎসা, আইনি এবং আর্থিক এজেন্ট +- নিরীক্ষণযোগ্য এবং ডিবাগযোগ্য এআই কর্মপ্রবাহ +- ​​কাস্টম অ্যাপ্লিকেশন + +--- + +## SDKs & CLI + +আপনার পছন্দের ভাষায় Memvid ব্যবহার করুন: + +| Package | Install | Links | +| --------------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------- | +| **CLI** | `npm install -g memvid-cli` | [![npm](https://img.shields.io/npm/v/memvid-cli?style=flat-square)](https://www.npmjs.com/package/memvid-cli) | +| **Node.js SDK** | `npm install @memvid/sdk` | [![npm](https://img.shields.io/npm/v/@memvid/sdk?style=flat-square)](https://www.npmjs.com/package/@memvid/sdk) | +| **Python SDK** | `pip install memvid-sdk` | [![PyPI](https://img.shields.io/pypi/v/memvid-sdk?style=flat-square)](https://pypi.org/project/memvid-sdk/) | +| **Rust** | `cargo add memvid-core` | [![Crates.io](https://img.shields.io/crates/v/memvid-core?style=flat-square)](https://crates.io/crates/memvid-core) | + +--- + +## Installation (Rust) + +### আবশ্যকতা + +- **Rust 1.85.0+** — Install from [rustup.rs](https://rustup.rs) + +### আপনার প্রকল্পে যোগ করুন + +```toml +[dependencies] +memvid-core = "2.0" +``` + +### Feature Flags + +| Feature | Description | +| ------------------- | ---------------------------------------------- | +| `lex` | Full-text search with BM25 ranking (Tantivy) | +| `pdf_extract` | Pure Rust PDF text extraction | +| `vec` | Vector similarity search (HNSW + ONNX) | +| `clip` | CLIP visual embeddings for image search | +| `whisper` | Audio transcription with Whisper | +| `temporal_track` | Natural language date parsing ("last Tuesday") | +| `parallel_segments` | Multi-threaded ingestion | +| `encryption` | Password-based encryption capsules (.mv2e) | + +Enable features as needed: + +```toml +[dependencies] +memvid-core = { version = "2.0", features = ["lex", "vec", "temporal_track"] } +``` + +--- + +## দ্রুত শুরু + +```rust +use memvid_core::{Memvid, PutOptions, SearchRequest}; + +fn main() -> memvid_core::Result<()> { + // Create a new memory file + let mut mem = Memvid::create("knowledge.mv2")?; + + // Add documents with metadata + let opts = PutOptions::builder() + .title("Meeting Notes") + .uri("mv2://meetings/2024-01-15") + .tag("project", "alpha") + .build(); + mem.put_bytes_with_options(b"Q4 planning discussion...", opts)?; + mem.commit()?; + + // Search + let response = mem.search(SearchRequest { + query: "planning".into(), + top_k: 10, + snippet_chars: 200, + ..Default::default() + })?; + + for hit in response.hits { + println!("{}: {}", hit.title.unwrap_or_default(), hit.text); + } + + Ok(()) +} +``` + +--- + +## তৈরি করুন + +রিপোজিটরিটি ক্লোন করুন: + +```bash +git clone https://github.com/memvid/memvid.git +cd memvid +``` + +ডিবাগ মোডে তৈরি করুন: + +```bash +cargo build +``` + +রিলিজ মোডে তৈরি করুন (অপ্টিমাইজ করা): + +```bash +cargo build --release +``` + +স্বতন্ত্র বৈশিষ্ট্য সহ তৈরি করুন: + +```bash +cargo build --release --features "lex,vec,temporal_track" +``` + +--- +## পরীক্ষাগুলি চালান + +সকল পরীক্ষা চালান: + +```bash +cargo test +``` + +নিম্নলিখিত আউটপুট দিয়ে পরীক্ষাটি চালান: + +```bash +cargo test -- --nocapture +``` + +একটি নির্দিষ্ট পরীক্ষা চালান: +```bash +cargo test test_name +``` +শুধুমাত্র ইন্টিগ্রেশন পরীক্ষা চালান: + +```bash +cargo test --test lifecycle +cargo test --test search +cargo test --test mutation +``` + +--- + +## উদাহরণ + +The `examples/` কার্যকরী ডিরেক্টরিগুলির উদাহরণ হল: + +### মৌলিক ব্যবহার + +এটি তৈরি, পুট, অনুসন্ধান এবং টাইমলাইন ক্রিয়াকলাপগুলি দেখায়: + +```bash +cargo run --example basic_usage +``` + +### পিডিএফ ইনজেকশন + +পিডিএফ ডকুমেন্টগুলি গ্রহণ করুন এবং অনুসন্ধান করুন ("Attention Is All You Need" পেপার ব্যবহার করে): + +```bash +cargo run --example pdf_ingestion +``` + +### CLIP ভিজ্যুয়াল সার্চ + +CLIP এম্বেডিং ব্যবহার করে ছবি সার্চ (`ক্লিপ` বৈশিষ্ট্য প্রয়োজন): + +```bash +cargo run --example clip_visual_search --features clip +``` + +### হুইস্পার ট্রান্সক্রিপশন + +অডিও ট্রান্সক্রিপশন (`হুইস্পার` বৈশিষ্ট্য প্রয়োজন): + +```bash +cargo run --example test_whisper --features whisper +``` + +--- + +## ফাইল ফরম্যাট + +সবকিছু একটি একক `.mv2` ফাইলের মধ্যে রয়েছে: + +``` +┌────────────────────────────┐ +│ Header (4KB) │ Magic, version, capacity +├────────────────────────────┤ +│ Embedded WAL (1-64MB) │ Crash recovery +├────────────────────────────┤ +│ Data Segments │ Compressed frames +├────────────────────────────┤ +│ Lex Index │ Tantivy full-text +├────────────────────────────┤ +│ Vec Index │ HNSW vectors +├────────────────────────────┤ +│ Time Index │ Chronological ordering +├────────────────────────────┤ +│ TOC (Footer) │ Segment offsets +└────────────────────────────┘ +``` + +কোন `.wal`, `.lock`, `.shm`, অথবা সাইডকার ফাইল নেই। কখনও না। + +সম্পূর্ণ ফাইল ফর্ম্যাট স্পেসিফিকেশনের জন্য [MV2_SPEC.md](MV2_SPEC.md) দেখুন। + +--- + +## সহায়তা + +আপনার কি কোন প্রশ্ন বা প্রতিক্রিয়া আছে? + +ইমেল: contact@memvid.com + +**সমর্থন দেখানোর জন্য ⭐ দিন** + +--- + +## লাইসেন্স + +Apache License 2.0 — আরও তথ্যের জন্য [LICENSE](LICENSE) ফাইলটি দেখুন। \ No newline at end of file diff --git a/docs/i18n/README.cs.md b/docs/i18n/README.cs.md new file mode 100644 index 0000000..6b12876 --- /dev/null +++ b/docs/i18n/README.cs.md @@ -0,0 +1,424 @@ + +Social Cover (9) + + + +

+ 🇺🇸 English + 🇪🇸 Español + 🇫🇷 Français + 🇸🇴 Soomaali + 🇸🇦 العربية + 🇧🇪/🇳🇱 Nederlands + 🇮🇳 हिन्दी + 🇧🇩 বাংলা + 🇨🇿 Čeština + 🇰🇷 한국어 + 🇯🇵 日本語 + +

+ + + +

+ Website + · + Try Sandbox + · + Docs + · + Discussions +

+ + + +

+ Crates.io + docs.rs + License +

+ +

+ Stars + Forks + Issues + Discord +

+ +

+ memvid%2Fmemvid | Trendshift +

+ + +

+ Memvid je jednosouborová paměťová vrstva pro AI agenty s okamžitým vyhledáváním a dlouhodobou pamětí.
+ Trvalá, verzovaná a přenosná paměť, bez databází. +

+ +

⭐️ Zanechte hvězdičku na podporu projektu ⭐️

+

+ +## Co je Memvid? + +Memvid je systém pro tvorbu AI pamětí, který balí vaše data, embeddingy, strukturu vyhledávání a metadata do jediného souboru. + +Místo spouštění složitých RAG řešení nebo serverových vektorových databází umožňuje Memvid rychlé vyhledávání přímo ze souboru. + +Výsledkem je modelově nezávislá paměťová vrstva bez infrastruktury, která poskytuje agentům AI trvalou, dlouhodobou paměť, kterou lze přenášet kamkoli. + +--- + +## Co jsou inteligentní rámce? + +Memvid čerpá inspiraci z enkódování videa, nikoli za účelem ukládání videa, ale za účelem **organizace paměti AI jako ultraefektivní sekvence inteligentních rámců, do kterých lze data pouze přidávat.** + +Inteligentní rámec je neměnná jednotka, která ukládá obsah spolu s časovými značkami, kontrolními součty a základními metadaty. +Rámce jsou seskupeny tak, aby umožňovaly efektivní kompresi, indexování a paralelní čtení. + +Tento design založený na rámcích umožňuje: + +- Pouze zápisy bez úpravy nebo poškození existujících dat +- Dotazy na minulé stavy paměti +- Kontrolu vývoje znalostí ve stylu časové osy +- Bezpečnost proti selhání díky závazným, neměnným rámcům +- Efektivní kompresi pomocí technik převzatých z kódování videa + +Výsledkem je jediný soubor, který se chová jako časová osa paměti pro systémy AI, ve které lze snadno hledat. + +--- + +## Základní koncepty + +- **Living Memory Engine** + Kontinuální přidávání, rozvětvování a vývoj paměti, napříč relacemi. + +- **Capsule Context (`.mv2`)** + Samostatné, sdílené paměťové kapsle s pravidly a dobou platnosti. + +- **Time-Travel Debugging** + Převíjení, přehrávání nebo rozvětvování libovolného stavu paměti. + +- **Smart Recall** + Přístup k lokální paměti za méně než 5 ms s prediktivním ukládáním do mezipaměti. + +- **Codec Intelligence** + Automaticky vybírá a vylepšuje kompresi v průběhu času. + +--- + +## Případy použití + +Memvid je přenosná paměťová vrstva bez serveru, která poskytuje agentům AI trvalou paměť a rychlé vyvolání. Protože je modelově nezávislá, multimodální a funguje zcela offline, vývojáři používají Memvid v široké škále reálných aplikací. + +- Dlouhodobě běžící AI agenti +- Firemní znalostní báze +- Offline-First AI systémy +- Porozumění kódu +- Agenti zákaznické podpory +- Automatizace pracovních postupů +- Asistenti prodeje a marketingu +- Osobní znalostní asistenti +- Lékařští, právní a finanční agenti +- Auditovatelné a laditelné AI pracovní postupy +- Vlastní aplikace + +--- + +## SDK a CLI + +Používejte Memvid ve svém preferovaném jazyce: + +| Balíček | Instalace | Odkazy | +| --------------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------- | +| **CLI** | `npm install -g memvid-cli` | [![npm](https://img.shields.io/npm/v/memvid-cli?style=flat-square)](https://www.npmjs.com/package/memvid-cli) | +| **Node.js SDK** | `npm install @memvid/sdk` | [![npm](https://img.shields.io/npm/v/@memvid/sdk?style=flat-square)](https://www.npmjs.com/package/@memvid/sdk) | +| **Python SDK** | `pip install memvid-sdk` | [![PyPI](https://img.shields.io/pypi/v/memvid-sdk?style=flat-square)](https://pypi.org/project/memvid-sdk/) | +| **Rust** | `cargo add memvid-core` | [![Crates.io](https://img.shields.io/crates/v/memvid-core?style=flat-square)](https://crates.io/crates/memvid-core) | + +--- + +## Instalace (Rust) + +### Požadavky + +- **Rust 1.85.0+** — Instalace z [rustup.rs](https://rustup.rs) + +### Přidejte do svého projektu + +```toml +[dependencies] +memvid-core = "2.0" +``` + +### Funkční příznaky + +| Funkce | Popis | +| ------------------- | ---------------------------------------------------------- | +| `lex` | Fulltextové vyhledávání s hodnocením BM25 (Tantivy) | +| `pdf_extract` | Čistá extrakce textu z PDF v Rustu | +| `vec` | Vektorové vyhledávání podobnosti (HNSW + lokální vkládání textu přes ONNX) | +| `clip` | Vizuální vkládání CLIP pro vyhledávání obrázků | +| `whisper` | Přepis zvuku pomocí Whisper | +| `temporal_track` | Analýza datumu v přirozeném jazyce ("minulé úterý") | +| `parallel_segments` | Vícevláknové načítání | +| `encryption` | Kapsle šifrované pomocí hesla (.mv2e) | + +Povolte funkce podle potřeby: + +```toml +[dependencies] +memvid-core = { version = "2.0", features = ["lex", "vec", "temporal_track"] } +``` + +--- + +## Rychlý start + +```rust +use memvid_core::{Memvid, PutOptions, SearchRequest}; + +fn main() -> memvid_core::Result<()> { + // Vytvoř nový paměťový soubor + let mut mem = Memvid::create("knowledge.mv2")?; + + // Přidej dokumenty s metadaty + let opts = PutOptions::builder() + .title("Zápis jednání") + .uri("mv2://meetings/2024-01-15") + .tag("project", "alpha") + .build(); + mem.put_bytes_with_options(b"Q4 plánované diskuze...", opts)?; + mem.commit()?; + + // Vyhledávání + let response = mem.search(SearchRequest { + query: "planning".into(), + top_k: 10, + snippet_chars: 200, + ..Default::default() + })?; + + for hit in response.hits { + println!("{}: {}", hit.title.unwrap_or_default(), hit.text); + } + + Ok(()) +} +``` + +--- + +## Sestavení + +Klonujte repozitář: + +```bash +git clone https://github.com/memvid/memvid.git +cd memvid +``` + +Sestavení v režimu developkment: + +```bash +cargo build +``` + +Sestavení v režimu production (optimalizované): + +```bash +cargo build --release +``` + +Sestavení s konkrétními funkcemi: + +```bash +cargo build --release --features "lex,vec,temporal_track" +``` + +--- + +## Spuštění testů + +Spuštění všech testů: + +```bash +cargo test +``` + +Spuštění testů s výstupem: + +```bash +cargo test -- --nocapture +``` + +Spuštění konkrétního testu: + +```bash +cargo test test_name +``` + +Spuštění pouze integračních testů: + +```bash +cargo test --test lifecycle +cargo test --test search +cargo test --test mutation +``` + +--- + +## Příklady + +Adresář `examples/` obsahuje funkční příklady: + +### Základní použití + +Demonstruje operace vytváření, vkládání, vyhledávání a práci s časovou osou: + +```bash +cargo run --example basic_usage +``` + +### Načítání PDF + +Načítání a vyhledávání v dokumentech PDF (demo používá dokument "Attention Is All You Need"): + +```bash +cargo run --example pdf_ingestion +``` + +### Vizuální vyhledávání CLIP + +Vyhledávání obrázků pomocí vložení CLIP (vyžaduje funkci `clip`): + +```bash +cargo run --example clip_visual_search --features clip +``` + +### Přepis Whisper + +Přepis zvuku (vyžaduje funkci `whisper`): + +```bash +cargo run --example test_whisper --features whisper +``` + +--- + +## Modely vkládání textu + +Funkce `vec` zahrnuje podporu lokálního vkládání textu pomocí modelů ONNX. Před použitím lokálního vkládání textu je nutné ručně stáhnout soubory modelů. + +### Rychlý start: BGE-small (doporučeno) + +Stáhněte si výchozí model BGE-small (384 dimenzí, rychlý a efektivní): + +```bash +mkdir -p ~/.cache/memvid/text-models + +# Download ONNX model +curl -L 'https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/bge-small-en-v1.5.onnx + +# Download tokenizer +curl -L 'https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/bge-small-en-v1.5_tokenizer.json +``` + +### Dostupné modely + +| Model | Rozměry | Velikost | Nejvhodnější pro | +| ----------------------- | ---------- | ------- | --------------------- | +| `bge-small-en-v1.5` | 384 | ~120 MB | Výchozí, rychlý | +| `bge-base-en-v1.5` | 768 | ~420 MB | Lepší kvalita | +| `nomic-embed-text-v1.5` | 768 | ~530 MB | Univerzální úkoly | +| `gte-large` | 1024 | ~1,3 GB | Nejvyšší kvalita | + +### Další modely + +**BGE-base** (768 dimensions): +```bash +curl -L 'https://huggingface.co/BAAI/bge-base-en-v1.5/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/bge-base-en-v1.5.onnx +curl -L 'https://huggingface.co/BAAI/bge-base-en-v1.5/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/bge-base-en-v1.5_tokenizer.json +``` + +**Nomic** (768 dimensions): +```bash +curl -L 'https://huggingface.co/nomic-ai/nomic-embed-text-v1.5/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/nomic-embed-text-v1.5.onnx +curl -L 'https://huggingface.co/nomic-ai/nomic-embed-text-v1.5/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/nomic-embed-text-v1.5_tokenizer.json +``` + +**GTE-large** (1024 dimensions): +```bash +curl -L 'https://huggingface.co/thenlper/gte-large/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/gte-large.onnx +curl -L 'https://huggingface.co/thenlper/gte-large/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/gte-large_tokenizer.json +``` + +### Použití v kódu + +```rust +use memvid_core::text_embed::{LocalTextEmbedder, TextEmbedConfig}; +use memvid_core::types::embedding::EmbeddingProvider; + +// Použít výchozí model (BGE-small) +let config = TextEmbedConfig::default(); +let embedder = LocalTextEmbedder::new(config)?; + +let embedding = embedder.embed_text("hello world")?; +assert_eq!(embedding.len(), 384); + +// Použijte jiný model +let config = TextEmbedConfig::bge_base(); +let embedder = LocalTextEmbedder::new(config)?; +``` + +Kompletní příklad s výpočtem podobnosti a hodnocením vyhledávání najdete v souboru `examples/text_embedding.rs`. + +--- + +## Formát souboru + +Vše je uloženo v jediném souboru `.mv2`: + +``` +┌────────────────────────────┐ +│ Záhlaví (4 KB) │ Magie, verze, kapacita +├────────────────────────────┤ +│ Embedded WAL (1-64 MB) │ Obnova po selhání +├────────────────────────────┤ +│ Datové segmenty │ Komprimované rámce +├────────────────────────────┤ +│ Lex Index │ Tantivy full-text +├────────────────────────────┤ +│ Vec Index │ Vektory HNSW +├────────────────────────────┤ +│ Time Index │ Chronologické řazení +├────────────────────────────┤ +│ TOC (zápatí) │ Segmentové posuny +└────────────────────────────┘ +``` + +Žádné další soubory, jako je `.wal`, `.lock`, `.shm` nejsou potřeba. Nikdy. + +Kompletní specifikace formátu souboru najdete v [MV2_SPEC.md](MV2_SPEC.md). + +--- + +## Podpora + +Máte dotazy nebo připomínky? +E-mail: contact@memvid.com + +**Dejte ⭐ a projevte svou podporu** + +--- + +## Licence + +Apache License 2.0 — podrobnosti najdete v souboru [LICENSE](LICENSE). diff --git a/docs/i18n/README.es.md b/docs/i18n/README.es.md new file mode 100644 index 0000000..19ce66b --- /dev/null +++ b/docs/i18n/README.es.md @@ -0,0 +1,500 @@ + +Social Cover (9) + + + +

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+ memvid%2Fmemvid | Trendshift +

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+ Memvid es una capa de memoria de un solo archivo para agentes de IA, con recuperación instantánea y memoria a largo plazo.
+ Memoria persistente, versionada y portable, sin bases de datos. +

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⭐️ Deja una STAR para apoyar el proyecto ⭐️

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+ +## Lo más destacado de los benchmarks + +**🚀 Mayor precisión que cualquier otro sistema de memoria:** +35% SOTA en LoCoMo, con recall y razonamiento conversacional de largo horizonte de primer nivel. + +**🧠 Mejor razonamiento multi-hop y temporal:** +76% en multi-hop y +56% en temporal frente al promedio de la industria. + +**⚡ Latencia ultra baja a escala:** 0.025 ms P50 y 0.075 ms P99, con 1,372× más throughput que los enfoques estándar. + +**🔬 Benchmarks totalmente reproducibles:** LoCoMo (10 conversaciones de ~26K tokens), evaluación open source y LLM-as-Judge. + +--- + +## ¿Qué es Memvid? + +Memvid es un sistema de memoria portable para IA que empaqueta tus datos, embeddings, estructura de búsqueda y metadatos en un solo archivo. + +En lugar de ejecutar pipelines RAG complejos o bases de datos vectoriales basadas en servidor, Memvid permite una recuperación rápida directamente desde el archivo. + +El resultado es una capa de memoria agnóstica al modelo, sin infraestructura, que da a los agentes de IA una memoria persistente y a largo plazo que pueden llevar a cualquier parte. + +--- + +## ¿Por qué fotogramas de vídeo? + +Memvid se inspira en la codificación de vídeo, no para almacenar vídeo, sino para **organizar la memoria de IA como una secuencia de Smart Frames ultrarrápida y append-only.** + +Un Smart Frame es una unidad inmutable que almacena contenido junto con marcas de tiempo (timestamps), checksums y metadatos básicos. +Los frames se agrupan de una forma que permite una compresión, indexación y lecturas paralelas eficientes. + +Este diseño basado en frames permite: + +- Escrituras append-only sin modificar ni corromper los datos existentes +- Consultas sobre estados pasados de la memoria +- Inspección estilo línea temporal (timeline) de cómo evoluciona el conocimiento +- Seguridad ante fallos (crash safety) mediante frames confirmados e inmutables +- Compresión eficiente usando técnicas adaptadas de la codificación de vídeo + +El resultado es un único archivo que se comporta como una línea temporal de memoria “rebobinable” para sistemas de IA. + +--- + +## Conceptos principales + +- **Living Memory Engine** + Añade, ramifica (branch) y evoluciona la memoria de forma continua entre sesiones. + +- **Capsule Context (`.mv2`)** + Cápsulas de memoria autocontenidas y compartibles, con reglas y caducidad. + +- **Time-Travel Debugging** + Rebobina, reproduce (replay) o ramifica cualquier estado de memoria. + +- **Smart Recall** + Acceso local a memoria en menos de 5ms con caché predictiva. + +- **Codec Intelligence** + Selecciona y actualiza la compresión automáticamente con el tiempo. + +--- + +## Casos de uso + +Memvid es una capa de memoria portable y serverless que da a los agentes de IA memoria persistente y recuerdo rápido. Como es agnóstica al modelo, multi-modal y funciona totalmente offline, los desarrolladores están usando Memvid en una amplia gama de aplicaciones reales. + +- Agentes de IA de larga duración +- Bases de conocimiento empresariales +- Sistemas de IA offline-first +- Comprensión de codebases +- Agentes de soporte al cliente +- Automatización de flujos de trabajo +- Copilotos de ventas y marketing +- Asistentes de conocimiento personal +- Agentes médicos, legales y financieros +- Flujos de trabajo de IA auditables y depurables +- Aplicaciones personalizadas + +--- + +## SDKs & CLI + +Usa Memvid en tu lenguaje preferido: + +| Package | Install | Links | +| --------------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------- | +| **CLI** | `npm install -g memvid-cli` | [![npm](https://img.shields.io/npm/v/memvid-cli?style=flat-square)](https://www.npmjs.com/package/memvid-cli) | +| **Node.js SDK** | `npm install @memvid/sdk` | [![npm](https://img.shields.io/npm/v/@memvid/sdk?style=flat-square)](https://www.npmjs.com/package/@memvid/sdk) | +| **Python SDK** | `pip install memvid-sdk` | [![PyPI](https://img.shields.io/pypi/v/memvid-sdk?style=flat-square)](https://pypi.org/project/memvid-sdk/) | +| **Rust** | `cargo add memvid-core` | [![Crates.io](https://img.shields.io/crates/v/memvid-core?style=flat-square)](https://crates.io/crates/memvid-core) | + +--- + +## Instalación (Rust) + +### Requisitos + +- **Rust 1.85.0+** — Instálalo desde [rustup.rs](https://rustup.rs) + +### Añadir a tu proyecto + +```toml +[dependencies] +memvid-core = "2.0" +``` + +### Feature Flags + +| Feature | Descripción | +| ------------------- | ------------------------------------------------------------------ | +| `lex` | Búsqueda full-text con ranking BM25 (Tantivy) | +| `pdf_extract` | Extracción de texto PDF 100% en Rust | +| `vec` | Búsqueda por similitud vectorial (HNSW + embeddings locales vía ONNX) | +| `clip` | Embeddings visuales CLIP para búsqueda de imágenes | +| `whisper` | Transcripción de audio con Whisper | +| `api_embed` | Embeddings en la nube mediante API (OpenAI) | +| `temporal_track` | Interpretación de fechas en lenguaje natural ("el martes pasado") | +| `parallel_segments` | Ingesta multi-hilo | +| `encryption` | Cápsulas cifradas con contraseña (.mv2e) | +| `symspell_cleanup` | Reparación robusta de texto PDF (corrige "emp lo yee" -> "employee") | + +Activa las features según lo necesites: + +```toml +[dependencies] +memvid-core = { version = "2.0", features = ["lex", "vec", "temporal_track"] } +``` + +--- + +## Inicio rápido + +```rust +use memvid_core::{Memvid, PutOptions, SearchRequest}; + +fn main() -> memvid_core::Result<()> { + // Create a new memory file + let mut mem = Memvid::create("knowledge.mv2")?; + + // Add documents with metadata + let opts = PutOptions::builder() + .title("Meeting Notes") + .uri("mv2://meetings/2024-01-15") + .tag("project", "alpha") + .build(); + mem.put_bytes_with_options(b"Q4 planning discussion...", opts)?; + mem.commit()?; + + // Search + let response = mem.search(SearchRequest { + query: "planning".into(), + top_k: 10, + snippet_chars: 200, + ..Default::default() + })?; + + for hit in response.hits { + println!("{}: {}", hit.title.unwrap_or_default(), hit.text); + } + + Ok(()) +} +``` + +--- + +## Build + +Clona el repositorio: + +```bash +git clone https://github.com/memvid/memvid.git +cd memvid +``` + +Compila en modo debug: + +```bash +cargo build +``` + +Compila en modo release (optimizado): + +```bash +cargo build --release +``` + +Compila con features específicas: + +```bash +cargo build --release --features "lex,vec,temporal_track" +``` + +--- + +## Ejecutar tests + +Ejecuta todos los tests: + +```bash +cargo test +``` + +Ejecuta los tests con salida: + +```bash +cargo test -- --nocapture +``` + +Ejecuta un test específico: + +```bash +cargo test test_name +``` + +Ejecuta solo tests de integración: + +```bash +cargo test --test lifecycle +cargo test --test search +cargo test --test mutation +``` + +--- + +## Ejemplos + +El directorio `examples/` contiene ejemplos funcionales: + +### Uso básico + +Demuestra operaciones de create, put, search y timeline: + +```bash +cargo run --example basic_usage +``` + +### Ingesta de PDF + +Ingiere y busca documentos PDF (usa el paper “Attention Is All You Need”): + +```bash +cargo run --example pdf_ingestion +``` + +### Búsqueda visual con CLIP + +Búsqueda de imágenes usando embeddings de CLIP (requiere la feature `clip`): + +```bash +cargo run --example clip_visual_search --features clip +``` + +### Transcripción con Whisper + +Transcripción de audio (requiere la feature `whisper`): + +```bash +cargo run --example test_whisper --features whisper +``` + +--- + +## Modelos de embeddings de texto + +La feature `vec` incluye soporte para embeddings de texto locales usando modelos ONNX. Antes de usar embeddings locales, necesitas descargar manualmente los archivos del modelo. + +### Inicio rápido: BGE-small (recomendado) + +Descarga el modelo BGE-small por defecto (384 dimensiones, rápido y eficiente): + +```bash +mkdir -p ~/.cache/memvid/text-models + +# Descargar modelo ONNX +curl -L 'https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/bge-small-en-v1.5.onnx + +# Descargar tokenizer +curl -L 'https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/bge-small-en-v1.5_tokenizer.json +``` + +### Modelos disponibles + +| Modelo | Dimensiones | Tamaño | Mejor para | +| ----------------------- | ----------- | ------ | --------------------- | +| `bge-small-en-v1.5` | 384 | ~120MB | Opción por defecto, rápido | +| `bge-base-en-v1.5` | 768 | ~420MB | Mejor calidad | +| `nomic-embed-text-v1.5` | 768 | ~530MB | Tareas versátiles | +| `gte-large` | 1024 | ~1.3GB | Máxima calidad | + +### Otros modelos + +**BGE-base** (768 dimensiones): +```bash +curl -L 'https://huggingface.co/BAAI/bge-base-en-v1.5/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/bge-base-en-v1.5.onnx +curl -L 'https://huggingface.co/BAAI/bge-base-en-v1.5/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/bge-base-en-v1.5_tokenizer.json +``` + +**Nomic** (768 dimensiones): +```bash +curl -L 'https://huggingface.co/nomic-ai/nomic-embed-text-v1.5/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/nomic-embed-text-v1.5.onnx +curl -L 'https://huggingface.co/nomic-ai/nomic-embed-text-v1.5/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/nomic-embed-text-v1.5_tokenizer.json +``` + +**GTE-large** (1024 dimensiones): +```bash +curl -L 'https://huggingface.co/thenlper/gte-large/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/gte-large.onnx +curl -L 'https://huggingface.co/thenlper/gte-large/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/gte-large_tokenizer.json +``` + +### Uso en código + +```rust +use memvid_core::text_embed::{LocalTextEmbedder, TextEmbedConfig}; +use memvid_core::types::embedding::EmbeddingProvider; + +// Usar el modelo por defecto (BGE-small) +let config = TextEmbedConfig::default(); +let embedder = LocalTextEmbedder::new(config)?; + +let embedding = embedder.embed_text("hello world")?; +assert_eq!(embedding.len(), 384); + +// Usar un modelo distinto +let config = TextEmbedConfig::bge_base(); +let embedder = LocalTextEmbedder::new(config)?; +``` + +Consulta `examples/text_embedding.rs` para ver un ejemplo completo con cálculo de similitud y ranking de búsqueda. + +### Consistencia del modelo + +Para evitar mezclar modelos por accidente, por ejemplo consultar un índice BGE-small con embeddings de OpenAI, puedes asociar explícitamente tu instancia de Memvid a un nombre de modelo: + +```rust +// Vincula el índice a un modelo concreto. +// Si el índice ya fue creado con otro modelo, devolverá un error. +mem.set_vec_model("bge-small-en-v1.5")?; +``` + +Esta vinculación es persistente. Una vez definida, cualquier intento futuro de usar otro nombre de modelo fallará de inmediato con un error `ModelMismatch`. + +--- + +## Embeddings por API (OpenAI) + +La feature `api_embed` habilita la generación de embeddings en la nube usando la API de OpenAI. + +### Configuración + +Define tu clave de API de OpenAI: + +```bash +export OPENAI_API_KEY="sk-..." +``` + +### Uso + +```rust +use memvid_core::api_embed::{OpenAIConfig, OpenAIEmbedder}; +use memvid_core::types::embedding::EmbeddingProvider; + +// Usar el modelo por defecto (text-embedding-3-small) +let config = OpenAIConfig::default(); +let embedder = OpenAIEmbedder::new(config)?; + +let embedding = embedder.embed_text("hello world")?; +assert_eq!(embedding.len(), 1536); + +// Usar un modelo de mayor calidad +let config = OpenAIConfig::large(); // text-embedding-3-large (3072 dims) +let embedder = OpenAIEmbedder::new(config)?; +``` + +### Modelos disponibles + +| Modelo | Dimensiones | Mejor para | +| ------------------------ | ----------- | -------------------------------- | +| `text-embedding-3-small` | 1536 | Por defecto, más rápido y económico | +| `text-embedding-3-large` | 3072 | Máxima calidad | +| `text-embedding-ada-002` | 1536 | Modelo heredado | + +Consulta `examples/openai_embedding.rs` para ver un ejemplo completo. + +--- + +## Formato de archivo + +Todo vive en un único archivo `.mv2`: + +``` +┌────────────────────────────┐ +│ Header (4KB) │ Magic, version, capacity +├────────────────────────────┤ +│ Embedded WAL (1-64MB) │ Crash recovery +├────────────────────────────┤ +│ Data Segments │ Compressed frames +├────────────────────────────┤ +│ Lex Index │ Tantivy full-text +├────────────────────────────┤ +│ Vec Index │ HNSW vectors +├────────────────────────────┤ +│ Time Index │ Chronological ordering +├────────────────────────────┤ +│ TOC (Footer) │ Segment offsets +└────────────────────────────┘ +``` + +Sin archivos `.wal`, `.lock`, `.shm` ni sidecars. Nunca. + +Consulta [MV2_SPEC.md](MV2_SPEC.md) para la especificación completa del formato de archivo. + +--- + +## Soporte + +¿Tienes preguntas o feedback? +Email: contact@memvid.com + +**Deja una ⭐ para mostrar apoyo** + +--- + +> **Memvid v1 (memoria basada en QR) está obsoleto** +> +> Si estás viendo referencias a códigos QR, estás usando información desactualizada. +> +> Consulta: https://docs.memvid.com/memvid-v1-deprecation + +--- + +## Licencia + +Apache License 2.0 — consulta el archivo [LICENSE](LICENSE) para más detalles. diff --git a/docs/i18n/README.fr.md b/docs/i18n/README.fr.md new file mode 100644 index 0000000..3c7587c --- /dev/null +++ b/docs/i18n/README.fr.md @@ -0,0 +1,346 @@ + +Social Cover (9) + + + +

+ 🇺🇸 English + 🇪🇸 Español + 🇫🇷 Français + 🇸🇴 Soomaali + 🇸🇦 العربية + 🇧🇪/🇳🇱 Nederlands + 🇮🇳 हिन्दी + 🇧🇩 বাংলা + 🇨🇿 Čeština + 🇰🇷 한국어 + 🇯🇵 日本語 + +

+ + + +

+ Website + · + Try Sandbox + · + Docs + · + Discussions +

+ + + +

+ Crates.io + docs.rs + License +

+ +

+ Stars + Forks + Issues + Discord +

+ +

+ memvid%2Fmemvid | Trendshift +

+ + +

+ Memvid est une couche mémoire à fichier unique pour agents IA, avec récupération instantanée et mémoire long terme.
+ Mémoire persistante, versionnée et portable, sans bases de données. +

+ +

⭐️ Laissez une STAR pour soutenir le projet ⭐️

+

+ +## Qu'est-ce que Memvid ? + +Memvid est un système de mémoire IA portable qui regroupe vos données, embeddings, structure de recherche et métadonnées dans un seul fichier. + +Au lieu d'exécuter des pipelines RAG complexes ou des bases de données vectorielles côté serveur, Memvid permet une récupération rapide directement depuis le fichier. + +Le résultat est une couche mémoire agnostique au modèle, sans infrastructure, qui donne aux agents IA une mémoire persistante et longue durée qu'ils peuvent emporter partout. + +--- + +## Pourquoi des images vidéo ? + +Memvid s'inspire de l'encodage vidéo, non pas pour stocker de la vidéo, mais pour **organiser la mémoire IA en une séquence append-only ultra-efficace de Smart Frames.** + +Une Smart Frame est une unité immuable qui stocke le contenu avec des horodatages, des checksums et des métadonnées de base. +Les frames sont regroupées d'une manière qui permet une compression, une indexation et des lectures parallèles efficaces. + +Ce design basé sur les frames permet : + +- Écritures append-only sans modifier ni corrompre les données existantes +- Requêtes sur des états mémoire passés +- Inspection type timeline de l'évolution des connaissances +- Sécurité en cas de crash via des frames immuables et validées +- Compression efficace grâce à des techniques adaptées de l'encodage vidéo + +Le résultat est un fichier unique qui se comporte comme une timeline mémoire rembobinable pour les systèmes IA. + +--- + +## Concepts de base + +- **Moteur de mémoire vivant** + Ajoutez, branchez et faites évoluer la mémoire en continu entre les sessions. + +- **Capsule de Contexte (`.mv2`)** + Capsules mémoire autonomes et partageables avec règles et expiration. + +- **Débogage par 'voyage temporel'** + Rembobinez, rejouez ou branchez n'importe quel état mémoire. + +- **Rappel intelligent** + Accès mémoire local en moins de 5 ms avec cache prédictif. + +- **Intelligence du codec** + Sélection et mise à niveau automatiques de la compression au fil du temps. + +--- + +## Cas d'usage +Memvid est une couche mémoire portable et sans serveur qui donne aux agents IA une mémoire persistante et un rappel rapide. Parce qu'il est agnostique au modèle, multimodal et fonctionne entièrement hors ligne, les développeurs utilisent Memvid pour un large éventail d'applications réelles. + +- Agents IA longue durée +- Bases de connaissances d'entreprise +- Systèmes IA offline-first +- Compréhension de codebase +- Agents de support client +- Automatisation des workflows +- Copilotes ventes et marketing +- Assistants de connaissance personnels +- Agents médicaux, juridiques et financiers +- Workflows IA auditables et débogables +- Applications sur mesure + +--- + +## SDKs & CLI + +Utilisez Memvid dans votre langage préféré : + +| Package | Installation | Liens | +|---------|---------|-------| +| **CLI** | `npm install -g memvid-cli` | [![npm](https://img.shields.io/npm/v/memvid-cli?style=flat-square)](https://www.npmjs.com/package/memvid-cli) | +| **Node.js SDK** | `npm install @memvid/sdk` | [![npm](https://img.shields.io/npm/v/@memvid/sdk?style=flat-square)](https://www.npmjs.com/package/@memvid/sdk) | +| **Python SDK** | `pip install memvid-sdk` | [![PyPI](https://img.shields.io/pypi/v/memvid-sdk?style=flat-square)](https://pypi.org/project/memvid-sdk/) | +| **Rust** | `cargo add memvid-core` | [![Crates.io](https://img.shields.io/crates/v/memvid-core?style=flat-square)](https://crates.io/crates/memvid-core) | + +--- + +## Installation (Rust) + +### Prérequis + +- **Rust 1.85.0+** — Installer depuis [rustup.rs](https://rustup.rs) + +### Ajouter à votre projet + +```toml +[dependencies] +memvid-core = "2.0" +``` + +### Feature Flags + +| Feature | Description | +|---------|-------------| +| `lex` | Full-text search with BM25 ranking (Tantivy) | +| `pdf_extract` | Pure Rust PDF text extraction | +| `vec` | Vector similarity search (HNSW + ONNX) | +| `clip` | CLIP visual embeddings for image search | +| `whisper` | Audio transcription with Whisper | +| `temporal_track` | Natural language date parsing ("last Tuesday") | +| `parallel_segments` | Multi-threaded ingestion | +| `encryption` | Password-based encryption capsules (.mv2e) | + +Activez les features selon vos besoins : + +```toml +[dependencies] +memvid-core = { version = "2.0", features = ["lex", "vec", "temporal_track"] } +``` + +--- + +## Démarrage rapide + +```rust +use memvid_core::{Memvid, PutOptions, SearchRequest}; + +fn main() -> memvid_core::Result<()> { + // Créer un nouveau fichier de mémoire + let mut mem = Memvid::create("knowledge.mv2")?; + + // Ajouter des documents avec des métadonnées + let opts = PutOptions::builder() + .title("Meeting Notes") + .uri("mv2://meetings/2024-01-15") + .tag("project", "alpha") + .build(); + mem.put_bytes_with_options(b"Q4 planning discussion...", opts)?; + mem.commit()?; + + // Rechercher + let response = mem.search(SearchRequest { + query: "planning".into(), + top_k: 10, + snippet_chars: 200, + ..Default::default() + })?; + + for hit in response.hits { + println!("{}: {}", hit.title.unwrap_or_default(), hit.text); + } + + Ok(()) +} +``` + +--- + +## Compiler + +Cloner le repository : + +```bash +git clone https://github.com/memvid/memvid.git +cd memvid +``` + +Compiler en mode debug : + +```bash +cargo build +``` + +Compiler en mode release (optimisé) : + +```bash +cargo build --release +``` + +Compiler avec des features spécifiques : + +```bash +cargo build --release --features "lex,vec,temporal_track" +``` + +--- + +## Exécuter les tests + +Exécuter tous les tests : + +```bash +cargo test +``` + +Exécuter les tests avec sortie : + +```bash +cargo test -- --nocapture +``` + +Exécuter un test spécifique : + +```bash +cargo test test_name +``` + +Exécuter uniquement les tests d'intégration : + +```bash +cargo test --test lifecycle +cargo test --test search +cargo test --test mutation +``` + +--- + +## Exemples + +Le répertoire `examples/` contient des exemples fonctionnels : + +### Utilisation de base + +Démontre create, put, search et les opérations de timeline : + +```bash +cargo run --example basic_usage +``` + +### Ingestion de PDF + +Ingérer et rechercher des documents PDF (utilise l'article "Attention Is All You Need") : + +```bash +cargo run --example pdf_ingestion +``` + +### Recherche visuelle CLIP + +Recherche d'images à l'aide d'embeddings CLIP (nécessite la feature `clip`) : + +```bash +cargo run --example clip_visual_search --features clip +``` + +### Transcription Whisper + +Transcription audio (nécessite la feature `whisper`) : + +```bash +cargo run --example test_whisper --features whisper +``` + +--- + +## Format de fichier + +Tout est dans un seul fichier `.mv2` : + +``` +┌────────────────────────────┐ +│ Header (4KB) │ Magic, version, capacity +├────────────────────────────┤ +│ Embedded WAL (1-64MB) │ Crash recovery +├────────────────────────────┤ +│ Data Segments │ Compressed frames +├────────────────────────────┤ +│ Lex Index │ Tantivy full-text +├────────────────────────────┤ +│ Vec Index │ HNSW vectors +├────────────────────────────┤ +│ Time Index │ Chronological ordering +├────────────────────────────┤ +│ TOC (Footer) │ Segment offsets +└────────────────────────────┘ +``` + +Pas de `.wal`, `.lock`, `.shm` ou fichiers auxiliaires. Jamais. + +Voir [MV2_SPEC.md](MV2_SPEC.md) pour la spécification complète du format de fichier. + +--- + +## Support + +Vous avez des questions ou des retours ? +Email : contact@memvid.com + +**Laissez une ⭐ pour montrer votre soutien** + +--- + +## Licence + +Apache License 2.0 — voir le fichier [LICENSE](LICENSE) pour plus de détails. diff --git a/docs/i18n/README.hi.md b/docs/i18n/README.hi.md new file mode 100644 index 0000000..47dbba9 --- /dev/null +++ b/docs/i18n/README.hi.md @@ -0,0 +1,347 @@ + +Social Cover (9) + + + +

+ 🇺🇸 English + 🇪🇸 Español + 🇫🇷 Français + 🇸🇴 Soomaali + 🇸🇦 العربية + 🇧🇪/🇳🇱 Nederlands + 🇮🇳 हिन्दी + 🇧🇩 বাংলা + 🇨🇿 Čeština + 🇰🇷 한국어 + 🇯🇵 日本語 + +

+ + + +

+ Website + · + Try Sandbox + · + Docs + · + Discussions +

+ + + +

+ Crates.io + docs.rs + License +

+ +

+ Stars + Forks + Issues + Discord +

+ +

+ memvid%2Fmemvid | Trendshift +

+ + +

+ मेमविड AI एजेंट के लिए एक सिंगल-फाइल मेमोरी लेयर है जिसमें तुरंत रिट्रीवल और लॉन्ग-टर्म मेमोरी होती है।
+ बिना डेटाबेस के, स्थायी, वर्शन वाली और पोर्टेबल मेमोरी। +

+ +

⭐️ प्रोजेक्ट को सपोर्ट करने के लिए एक स्टार दें। ⭐️

+

+ +## What is Memvid? + +मेमविड एक पोर्टेबल AI मेमोरी सिस्टम है जो आपके डेटा, एम्बेडिंग, सर्च स्ट्रक्चर और मेटाडेटा को एक ही फ़ाइल में पैक करता है। + +जटिल RAG पाइपलाइन या सर्वर-आधारित वेक्टर डेटाबेस चलाने के बजाय, Memvid सीधे फ़ाइल से तेज़ी से डेटा रिट्रीव करने में मदद करता है। + +इसका नतीजा एक मॉडल-एग्नोस्टिक, इंफ्रास्ट्रक्चर-फ्री मेमोरी लेयर है जो AI एजेंट को परमानेंट, लॉन्ग-टर्म मेमोरी देती है जिसे वे कहीं भी ले जा सकते हैं। + +--- + +## वीडियो फ़्रेम क्यों? + +मेमविड वीडियो एन्कोडिंग से प्रेरणा लेता है, वीडियो स्टोर करने के लिए नहीं, बल्कि**AI मेमोरी को स्मार्ट फ्रेम्स के अपेंड-ओनली, अल्ट्रा-एफ़िशिएंट सीक्वेंस के तौर पर ऑर्गनाइज़ करें।** + +स्मार्ट फ्रेम एक ऐसा यूनिट है जिसे बदला नहीं जा सकता, जो टाइमस्टैम्प, चेकसम और बेसिक मेटाडेटा के साथ कंटेंट स्टोर करता है। +फ्रेम को इस तरह से ग्रुप किया जाता है जिससे कुशल कम्प्रेशन, इंडेक्सिंग और पैरेलल रीड संभव हो सके। + +यह फ्रेम-आधारित डिज़ाइन इन चीज़ों को संभव बनाता है: + +- मौजूदा डेटा को संशोधित या दूषित किए बिना केवल डेटा जोड़ना +- पिछली मेमोरी स्थितियों पर प्रश्न +- ज्ञान कैसे विकसित होता है, इसकी टाइमलाइन-शैली में जांच +- प्रतिबद्ध, अपरिवर्तनीय फ्रेम के माध्यम से क्रैश सुरक्षा +- वीडियो एन्कोडिंग से अपनाई गई तकनीकों का उपयोग करके कुशल कम्प्रेशन। + +इसका नतीजा एक सिंगल फ़ाइल होती है जो AI सिस्टम के लिए रिवाइंड करने लायक मेमोरी टाइमलाइन की तरह काम करती है। + +--- + +## मुख्य अवधारणाएँ + +- **लिविंग मेमोरी इंजन** + सेशन के दौरान लगातार मेमोरी को जोड़ें, ब्रांच करें और विकसित करें। + +- **कैप्सूल संदर्भ (`.mv2`)** + नियमों और एक्सपायरी के साथ सेल्फ-कंटेन्ड, शेयर करने लायक मेमोरी कैप्सूल। + +- **टाइम-ट्रैवल डिबगिंग** + किसी भी मेमोरी स्टेट को रिवाइंड, रिप्ले या ब्रांच करें। + +- **स्मार्ट रिकॉल** + प्रेडिक्टिव कैशिंग के साथ सब-5ms लोकल मेमोरी एक्सेस। + +- **कोडेक इंटेलिजेंस** + यह समय के साथ कम्प्रेशन को ऑटो-सेलेक्ट और अपग्रेड करता है। + +--- + +## उपयोग के मामले + +मेमविड एक पोर्टेबल, सर्वरलेस मेमोरी लेयर है जो AI एजेंट को परमानेंट मेमोरी और तेज़ रिकॉल देता है। क्योंकि यह मॉडल-एग्नोस्टिक, मल्टी-मॉडल है, और पूरी तरह से ऑफ़लाइन काम करता है, इसलिए डेवलपर्स मेमविड का इस्तेमाल कई तरह के रियल-वर्ल्ड एप्लीकेशन में कर रहे हैं। + +- लंबे समय तक चलने वाले AI एजेंट +- एंटरप्राइज़ नॉलेज बेस +- ऑफ़लाइन-फ़र्स्ट AI सिस्टम +- कोडबेस को समझना +- कस्टमर सपोर्ट एजेंट +- वर्कफ़्लो ऑटोमेशन +- सेल्स और मार्केटिंग कोपायलट +- पर्सनल नॉलेज असिस्टेंट +- मेडिकल, लीगल और फाइनेंशियल एजेंट +- ऑडिट करने योग्य और डीबग करने योग्य AI वर्कफ़्लो +- कस्टम एप्लीकेशन + +--- + +## SDKs & CLI + +मेमविड को अपनी पसंदीदा भाषा में इस्तेमाल करें: + +| Package | Install | Links | +| --------------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------- | +| **CLI** | `npm install -g memvid-cli` | [![npm](https://img.shields.io/npm/v/memvid-cli?style=flat-square)](https://www.npmjs.com/package/memvid-cli) | +| **Node.js SDK** | `npm install @memvid/sdk` | [![npm](https://img.shields.io/npm/v/@memvid/sdk?style=flat-square)](https://www.npmjs.com/package/@memvid/sdk) | +| **Python SDK** | `pip install memvid-sdk` | [![PyPI](https://img.shields.io/pypi/v/memvid-sdk?style=flat-square)](https://pypi.org/project/memvid-sdk/) | +| **Rust** | `cargo add memvid-core` | [![Crates.io](https://img.shields.io/crates/v/memvid-core?style=flat-square)](https://crates.io/crates/memvid-core) | + +--- + +## Installation (Rust) + +### आवश्यकताएं + +- **Rust 1.85.0+** — Install from [rustup.rs](https://rustup.rs) + +### अपने प्रोजेक्ट में जोड़ें + +```toml +[dependencies] +memvid-core = "2.0" +``` + +### Feature Flags + +| Feature | Description | +| ------------------- | ---------------------------------------------- | +| `lex` | Full-text search with BM25 ranking (Tantivy) | +| `pdf_extract` | Pure Rust PDF text extraction | +| `vec` | Vector similarity search (HNSW + ONNX) | +| `clip` | CLIP visual embeddings for image search | +| `whisper` | Audio transcription with Whisper | +| `temporal_track` | Natural language date parsing ("last Tuesday") | +| `parallel_segments` | Multi-threaded ingestion | +| `encryption` | Password-based encryption capsules (.mv2e) | + +Enable features as needed: + +```toml +[dependencies] +memvid-core = { version = "2.0", features = ["lex", "vec", "temporal_track"] } +``` + +--- + +## त्वरित प्रारंभ + +```rust +use memvid_core::{Memvid, PutOptions, SearchRequest}; + +fn main() -> memvid_core::Result<()> { + // Create a new memory file + let mut mem = Memvid::create("knowledge.mv2")?; + + // Add documents with metadata + let opts = PutOptions::builder() + .title("Meeting Notes") + .uri("mv2://meetings/2024-01-15") + .tag("project", "alpha") + .build(); + mem.put_bytes_with_options(b"Q4 planning discussion...", opts)?; + mem.commit()?; + + // Search + let response = mem.search(SearchRequest { + query: "planning".into(), + top_k: 10, + snippet_chars: 200, + ..Default::default() + })?; + + for hit in response.hits { + println!("{}: {}", hit.title.unwrap_or_default(), hit.text); + } + + Ok(()) +} +``` + +--- + +## निर्माण + +रिपॉजिटरी को क्लोन करें: + +```bash +git clone https://github.com/memvid/memvid.git +cd memvid +``` + +डीबग मोड में बिल्ड करें: + +```bash +cargo build +``` + +रिलीज़ मोड में बिल्ड करें (ऑप्टिमाइज़्ड): + +```bash +cargo build --release +``` + +विशिष्ट विशेषताओं के साथ बनाएं: + +```bash +cargo build --release --features "lex,vec,temporal_track" +``` + +--- + +## टेस्ट चलाएँ + +सभी टेस्ट चलाएँ: + +```bash +cargo test +``` + +आउटपुट के साथ टेस्ट चलाएँ: + +```bash +cargo test -- --nocapture +``` + +एक विशिष्ट टेस्ट चलाएँ: + +```bash +cargo test test_name +``` + +केवल इंटीग्रेशन टेस्ट चलाएँ: + +```bash +cargo test --test lifecycle +cargo test --test search +cargo test --test mutation +``` + +--- + +## उदाहरण + +The `examples/` डायरेक्टरी में काम करने वाले उदाहरण हैं: + +### बेसिक उपयोग + +यह क्रिएट, पुट, सर्च और टाइमलाइन ऑपरेशन दिखाता है: + +```bash +cargo run --example basic_usage +``` + +### PDF इन्जेक्शन + +PDF डॉक्यूमेंट्स को इन्जेस्ट करें और सर्च करें ("अटेंशन इज़ ऑल यू नीड" पेपर का इस्तेमाल करता है): + +```bash +cargo run --example pdf_ingestion +``` + +### CLIP विज़ुअल सर्च + +CLIP एम्बेडिंग का इस्तेमाल करके इमेज सर्च (इसके लिए `clip` फ़ीचर ज़रूरी है): + +```bash +cargo run --example clip_visual_search --features clip +``` + +### व्हिस्पर ट्रांसक्रिप्शन + +ऑडियो ट्रांसक्रिप्शन (`whisper` फीचर ज़रूरी है): + +```bash +cargo run --example test_whisper --features whisper +``` + +--- + +## फ़ाइल फ़ॉर्मेट + +सब कुछ एक ही `.mv2` फ़ाइल में होता है: + +``` +┌────────────────────────────┐ +│ Header (4KB) │ Magic, version, capacity +├────────────────────────────┤ +│ Embedded WAL (1-64MB) │ Crash recovery +├────────────────────────────┤ +│ Data Segments │ Compressed frames +├────────────────────────────┤ +│ Lex Index │ Tantivy full-text +├────────────────────────────┤ +│ Vec Index │ HNSW vectors +├────────────────────────────┤ +│ Time Index │ Chronological ordering +├────────────────────────────┤ +│ TOC (Footer) │ Segment offsets +└────────────────────────────┘ +``` + +कोई `.wal`, `.lock`, `.shm`, या साइडकार फ़ाइल नहीं। कभी नहीं। + +पूरे फ़ाइल फ़ॉर्मेट स्पेसिफ़िकेशन के लिए [MV2_SPEC.md](MV2_SPEC.md) देखें। + +--- + +## सपोर्ट + +क्या आपके कोई सवाल या फीडबैक हैं? +Email: contact@memvid.com + +**सपोर्ट दिखाने के लिए ⭐ दें** + +--- + +## लाइसेंस + +Apache License 2.0 — ज़्यादा जानकारी के लिए [LICENSE](LICENSE) फ़ाइल देखें। \ No newline at end of file diff --git a/docs/i18n/README.ja.md b/docs/i18n/README.ja.md new file mode 100644 index 0000000..de62831 --- /dev/null +++ b/docs/i18n/README.ja.md @@ -0,0 +1,429 @@ + +Social Cover (9) + + + +

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+ memvid%2Fmemvid | Trendshift +

+ + +

+Memvidは、AIエージェントのための即時検索と長期記憶を備えた単一ファイル型メモリレイヤーです。 +
+データベースを必要とせず、永続化、バージョン管理、ポータブル性を備えたメモリを実現します。 +

+ +

⭐️ スターで応援お願いします ⭐️

+

+ +## Memvidとは？ + +Memvidは、データ、埋め込み、検索構造、メタデータを１つのファイルにパッケージ化するポータブルAIメモリシステムです。 + +複雑なRAGパイプラインやサーバーベースのベクトルデータベースを運用する代わりに、Memvidを使用することで直接ファイルから高速な検索が可能になります。 + +その結果、モデルに依存せずインフラ不要のメモリレイヤーが実現し、AIエージェントはどこでも使える永続的な長期記憶を持つことができます。 + +--- + +## スマートフレーム (Smart Frames) とは？ + +Memvidは、（ビデオを保存するためではなく）**追記に特化した効率的なスマートフレームのシーケンスとしてAIメモリを整理するため**に、ビデオエンコーディング技術から着想を得ています。 + +スマートフレームは、コンテンツをタイムスタンプ、チェックサム、基本メタデータとともに保存する不変（イミュータブル）な単位です。フレームは効率的な圧縮、インデックス作成、並列読み取りができるようグループ化されています。 + +このフレームベースの設計により、以下が可能になります。 + +- 既存のデータを変更したり破損したりすることなくデータを追加 +- 過去のメモリ状態に対するクエリ +- 知識がどのように進化するかをタイムライン形式で検査 +- コミットされた不変フレームによるクラッシュ耐性 +- ビデオエンコーディング技術を応用した効率的な圧縮 + +その結果、AIシステムの「巻き戻し可能なメモリタイムライン」のように機能する単一のファイルが生成されます。 + +--- + +## コアコンセプト + +- **成長するメモリエンジン (Living Memory Engine)** + セッションをまたいでメモリを継続的に追加、分岐、進化させます。 + +- **カプセル・コンテキスト (`.mv2`)** + ルールや有効期限を設定できる、自己完結型で共有可能なメモリカプセル。 + +- **タイムトラベル・デバッグ** + 任意のメモリ状態を巻き戻し、再現、または分岐させることができます。 + +- **スマート・リコール** + 予測キャッシングによる5ミリ秒未満のローカルメモリーアクセス。 + +- **コーデック・インテリジェンス** + 圧縮方式を自動選択し、時間の経過とともにアップグレードします。 + +--- + +## ユースケース + +Memvidは、AIエージェントに永続的な記憶と高速な呼び出し機能を提供するポータブルでサーバーレスなメモリレイヤーです。モデルに依存せず、マルチモーダルに対応し、完全にオフラインで動作するため、実用的なアプリケーションで幅広く利用されています。 + +- 長期稼働AIエージェント +- エンタープライズ向けナレッジベース +- オフラインファーストAIシステム +- コードベースの理解 +- カスタマーサポートエージェント +- ワークフロー自動化 +- セールス・マーケティング支援 +- パーソナル・ナレッジ・アシスタント +- 医療・法律・金融特化型エージェント +- 監査・デバッグ可能なAIワークフロー +- カスタムアプリケーション + +--- + +## SDK と CLI + +お好みの言語でMemvidを利用できます。 + +| パッケージ | インストール | リンク | +| --------------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------- | +| **CLI** | `npm install -g memvid-cli` | [![npm](https://img.shields.io/npm/v/memvid-cli?style=flat-square)](https://www.npmjs.com/package/memvid-cli) | +| **Node.js SDK** | `npm install @memvid/sdk` | [![npm](https://img.shields.io/npm/v/@memvid/sdk?style=flat-square)](https://www.npmjs.com/package/@memvid/sdk) | +| **Python SDK** | `pip install memvid-sdk` | [![PyPI](https://img.shields.io/pypi/v/memvid-sdk?style=flat-square)](https://pypi.org/project/memvid-sdk/) | +| **Rust** | `cargo add memvid-core` | [![Crates.io](https://img.shields.io/crates/v/memvid-core?style=flat-square)](https://crates.io/crates/memvid-core) | + +--- + +## インストール (Rust) + +### 要件 + +- **Rust 1.85.0+** - [rustup.rs](https://rustup.rs) からインストールしてください。 + +### プロジェクトへの追加 + +```toml +[dependencies] +memvid-core = "2.0" + +``` + +### 機能フラグ (Feature Flags) + +| 機能 | 説明 | +| ------------------- | -------------------------------------------------------------- | +| `lex` | BM25ランキングによる全文検索 (Tantivy) | +| `pdf_extract` | Pure RustによるPDFテキスト抽出 | +| `vec` | ベクトル類似性検索 (HNSW + ONNXによるローカルテキスト埋め込み) | +| `clip` | 画像検索用のCLIPビジュアル埋め込み | +| `whisper` | Whisperによる音声文字起こし | +| `temporal_track` | 自然言語による日付解析 (例: "last Tuesday") | +| `parallel_segments` | マルチスレッドによるデータ取り込み | +| `encryption` | パスワードベースの暗号化カプセル (.mv2e) | + +以下のように、必要に応じて有効化してください。 + +```toml +[dependencies] +memvid-core = { version = "2.0", features = ["lex", "vec", "temporal_track"] } +``` + +--- + +## クイックスタート + +```rust +use memvid_core::{Memvid, PutOptions, SearchRequest}; + +fn main() -> memvid_core::Result<()> { + // 新しいメモリファイルを作成 + let mut mem = Memvid::create("knowledge.mv2")?; + + // メタデータ付きでドキュメントを追加 + let opts = PutOptions::builder() + .title("Meeting Notes") + .uri("mv2://meetings/2024-01-15") + .tag("project", "alpha") + .build(); + mem.put_bytes_with_options(b"Q4 planning discussion...", opts)?; + mem.commit()?; + + // 検索の実行 + let response = mem.search(SearchRequest { + query: "planning".into(), + top_k: 10, + snippet_chars: 200, + ..Default::default() + })?; + + for hit in response.hits { + println!("{}: {}", hit.title.unwrap_or_default(), hit.text); + } + + Ok(()) +} +``` + +--- + +## ビルド + +リポジトリをクローン： + +```bash +git clone https://github.com/memvid/memvid.git +cd memvid +``` + +デバッグモードでビルド： + +```bash +cargo build +``` + +リリースモードでビルド（最適化）： + +```bash +cargo build --release +``` + +特定の機能フラグ付きでビルド： + +```bash +cargo build --release --features "lex,vec,temporal_track" +``` + +--- + +## テストの実行 + +すべてのテストを実行： + +```bash +cargo test +``` + +標準出力でテストを実行： + +```bash +cargo test -- --nocapture +``` + +特定のテストを実行： + +```bash +cargo test test_name +``` + +統合テストのみを実行： + +```bash +cargo test --test lifecycle +cargo test --test search +cargo test --test mutation +``` + +--- + +## サンプル (Examples) + +`examples/` ディレクトリには、実際に動作するサンプルコードが用意されています。 + +### 基本的な使い方 (Basic Usage) + +作成 (create)、追加 (put)、検索 (search)、およびタイムライン操作のデモです。 + +```bash +cargo run --example basic_usage +``` + +### PDFの取り込み (PDF Ingestion) + +PDFドキュメントの取り込みと検索のサンプルです。（論文「Attention Is All You Need」を使用） + +```bash +cargo run --example pdf_ingestion +``` + +### CLIPによる画像検索 (CLIP Visual Search) + +CLIP埋め込みを使用した画像検索のサンプルです。 + +```bash +cargo run --example clip_visual_search --features clip +``` + +### Whisperによる文字起こし (Whisper Transcription) + +音声文字起こしのサンプルです。 + +```bash +cargo run --example test_whisper --features whisper +``` + +--- + +## テキスト埋め込みモデル + +`vec` 機能は、ONNXモデルを使用したローカルでのテキスト埋め込みをサポートしています。利用前にモデルファイルを手動でダウンロードする必要があります。 + +### 推奨：BGE-small (デフォルト) + +高速で効率的なBGE-smallモデル（384次元）をダウンロードします。 + +```bash +mkdir -p ~/.cache/memvid/text-models + +# ONNXモデルのダウンロード +curl -L 'https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/bge-small-en-v1.5.onnx + +# トークナイザーのダウンロード +curl -L 'https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/bge-small-en-v1.5_tokenizer.json +``` + +### モデル一覧 + +| モデル | 次元数 | サイズ | 最適な用途 | +| ----------------------- | ------ | ------ | ------------------------ | +| `bge-small-en-v1.5` | 384 | ~120MB | デフォルト（高速・軽量） | +| `bge-base-en-v1.5` | 768 | ~420MB | より高い精度が必要な場合 | +| `nomic-embed-text-v1.5` | 768 | ~530MB | 多目的なタスク | +| `gte-large` | 1024 | ~1.3GB | 最高精度 | + +### 他のモデル + +**BGE-base** (768次元): + +```bash +curl -L 'https://huggingface.co/BAAI/bge-base-en-v1.5/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/bge-base-en-v1.5.onnx +curl -L 'https://huggingface.co/BAAI/bge-base-en-v1.5/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/bge-base-en-v1.5_tokenizer.json +``` + +**Nomic** (768次元): + +```bash +curl -L 'https://huggingface.co/nomic-ai/nomic-embed-text-v1.5/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/nomic-embed-text-v1.5.onnx +curl -L 'https://huggingface.co/nomic-ai/nomic-embed-text-v1.5/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/nomic-embed-text-v1.5_tokenizer.json +``` + +**GTE-large** (1024次元): + +```bash +curl -L 'https://huggingface.co/thenlper/gte-large/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/gte-large.onnx +curl -L 'https://huggingface.co/thenlper/gte-large/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/gte-large_tokenizer.json +``` + +### 使用例 + +```rust +use memvid_core::text_embed::{LocalTextEmbedder, TextEmbedConfig}; +use memvid_core::types::embedding::EmbeddingProvider; + +// デフォルトモデルを使用する場合 (BGE-small) +let config = TextEmbedConfig::default(); +let embedder = LocalTextEmbedder::new(config)?; + +let embedding = embedder.embed_text("hello world")?; +assert_eq!(embedding.len(), 384); + +// モデルを変更する場合 +let config = TextEmbedConfig::bge_base(); +let embedder = LocalTextEmbedder::new(config)?; +``` + +類似性の計算と検索ランキングを含む完全な例については、`examples/text_embedding.rs` を参照してください。 + +--- + +## ファイル構成 + +すべてが単一の `.mv2` ファイルに収められます。 + +``` +┌────────────────────────────┐ +│ ヘッダー (4KB) │ マジックナンバー、バージョン、容量 +├────────────────────────────┤ +│ 組み込みWAL (1-64MB) │ クラッシュリカバリ用 +├────────────────────────────┤ +│ データセグメント │ 圧縮されたフレーム +├────────────────────────────┤ +│ 全文検索インデックス (Lex) │ Tantivy全文検索 +├────────────────────────────┤ +│ ベクトルインデックス (Vec) │ HNSWベクトル +├────────────────────────────┤ +│ タイムインデックス │ 時系列順序 +├────────────────────────────┤ +│ TOC (フッター) │ セグメントオフセット +└────────────────────────────┘ + +``` + +`.wal`、`.lock`、`.shm` などのサイドカーファイルは一切生成されません。 + +フォーマット仕様の詳細は [MV2_SPEC.md](MV2_SPEC.md) を参照してください。 + +--- + +## サポート + +ご質問やフィードバックはこちらまでご連絡ください。 +メール: contact@memvid.com + +**⭐でプロジェクトをサポートしてください。** + +--- + +## ライセンス + +Apache License 2.0 - 詳細は [LICENSE](LICENSE) ファイルをご覧ください。 diff --git a/docs/i18n/README.ko.md b/docs/i18n/README.ko.md new file mode 100644 index 0000000..5b7674f --- /dev/null +++ b/docs/i18n/README.ko.md @@ -0,0 +1,424 @@ + +Social Cover (9) + + + +

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+ Crates.io + docs.rs + License +

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+ Stars + Forks + Issues + Discord +

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+ memvid%2Fmemvid | Trendshift +

+ + +

+ Memvid는 AI 에이전트를 위한 단일 파일 메모리 레이어로, 인스턴스 검색 및 장기 메모리 기능을 제공합니다.
+ 데이터 베이스 없이 지속적이고, 버전 관리가 용이하며 여러 어플리케이션에 자유로운 적용이 가능합니다. +

+ +

⭐️ STAR로 이 프로젝트를 지원해주세요 ⭐️

+

+ +## Memvid란? + +Memvid는 데이터, 임베딩, 검색 구조 및 메타데이터를 단일 파일로 패키징하는 이식 가능한 AI 메모리 시스템입니다. +​ +복잡한 RAG 파이프라인이나 서버 기반 벡터 데이터베이스를 실행하는 대신, Memvid는 파일에서 직접 빠른 검색을 가능하게 합니다. + +결과적으로 모델에 독립적이며 인프라 구조와는 독립적인 메모리 레이어로, AI 에이전트가 어디서나 휴대할 수 있는 지속적 장기 메모리를 제공합니다 + +--- + +## Smart Frames란? + +Memvid는 **AI 메모리를 추가 전용(append-only)의 초고효율 Smart Frame 시퀀스로 구성하기 위해** 비디오 인코딩에서 영감을 받았습니다. + +Smart Frame은 타임스탬프, 체크섬 및 기본 메타데이터와 함께 콘텐츠를 저장하는 불변 단위입니다. +프레임은 효율적인 압축, 인덱싱 및 병렬 읽기를 허용하는 방식으로 그룹화됩니다. + +이러한 프레임 기반 설계는 다음을 가능하게 합니다: + +- 기존 데이터를 수정하거나 손상시키지 않는 추가 전용(append-only) 쓰기 +- 과거 메모리 상태에 대한 쿼리 +- 지식이 어떻게 변화하는지에 대한 타임라인 스타일 검사 +- 불변 프레임워크를 통한 크래시 안전성 +- 비디오 인코딩에서 차용한 기술을 사용한 효율적인 압축 + +이를 위한 결과물은 AI 시스템을 위한 되감기 가능한 메모리 타임라인처럼 동작하는 단일 파일입니다. + +--- + +## 주요 개념 + +- **실시간 변화하는 메모리 엔진** + 세션 간에 메모리를 지속적으로 추가, 분기 및 변화시킵니다. + +- **문맥 캡슐화 (`.mv2`)** + 규칙과 만료 시간이 포함된 자립형 공유 가능 형대의 메모리 캡슐입니다. + +- **시간 기반 디버깅** + 임의의 메모리 상태로 되감기, 재생 또는 분기합니다. + +- **예측 기반 호출** + 예측 캐싱을 사용한 5ms 미만 로컬 메모리 액세스를 제공합니다. + +- **코덱 인텔리전스** + 시간 경과에 따라 압축을 자동 선택 및 업그레이드합니다. + +--- + +## 이용 사례 + +Memvid 이동 가능한 서버리스 메모리 레이어로 AI 에이전트에 지속적인 메모리와 빠른 호출을 제공합니다. 이는 모델과 독립적이고, 멀티모달을 지원하며, 인터넷을 사용하지 않으므로, 개발자들은 다양한 실제 어플리케이션에서 Memvid를 활용하고 있습니다. + +- 장기 실행 AI 에이전트 +- 기업 내의 지식 베이스 +- 오프라인 우선의 AI 시스템 +- 코드베이스 이해 +- 고객 지원 에이전트 +- 워크플로 자동화 +- 판매 및 마케팅 코파일럿 +- 개인 지식 어시스턴트 +- 의료, 법률 및 금융 에이전트 +- 모니터링 및 디버깅 가능한 AI 워크플로 +- 그 외의 여러 애플리케이션 + +--- + +## SDKs & CLI + +원하는 언어로 Memvid를 사용하세요: + +| 패키지 | 설치 커맨드 | 링크 | +| --------------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------- | +| **CLI** | `npm install -g memvid-cli` | [![npm](https://img.shields.io/npm/v/memvid-cli?style=flat-square)](https://www.npmjs.com/package/memvid-cli) | +| **Node.js SDK** | `npm install @memvid/sdk` | [![npm](https://img.shields.io/npm/v/@memvid/sdk?style=flat-square)](https://www.npmjs.com/package/@memvid/sdk) | +| **Python SDK** | `pip install memvid-sdk` | [![PyPI](https://img.shields.io/pypi/v/memvid-sdk?style=flat-square)](https://pypi.org/project/memvid-sdk/) | +| **Rust** | `cargo add memvid-core` | [![Crates.io](https://img.shields.io/crates/v/memvid-core?style=flat-square)](https://crates.io/crates/memvid-core) | + +--- + +## 설치 (Rust) + +### 요구 사항 + +- **Rust 1.85.0+** — [rustup.rs](https://rustup.rs)에서 설치 가능합니다. + +### 프로젝트에 추가 + +```toml +[dependencies] +memvid-core = "2.0" +``` + +### Feature Flags + +| Feature | Description | +| ------------------- | --------------------------------------------------- | +| `lex` | BM25 랭킹 기반 전체 텍스트 검색 (Tantivy) | +| `pdf_extract` | Rust 기반 PDF 텍스트 추출 | +| `vec` | 벡터 유사도 검색 (HNSW + ONNX) | +| `clip` | 이미지 검색을 위한 CLIP 임베딩 | +| `whisper` | Whisper 기반 오디오 전사 | +| `temporal_track` | 자연어 날짜 추출 ("지난 화요일") | +| `parallel_segments` | 멀티-스레딩 처리 | +| `encryption` | Password 기반 암호화 (.mv2e) | + +필요한 기능을 아래 방식으로 활성화하세요: + +```toml +[dependencies] +memvid-core = { version = "2.0", features = ["lex", "vec", "temporal_track"] } +``` + +--- + +## Quick Start + +```rust +use memvid_core::{Memvid, PutOptions, SearchRequest}; + +fn main() -> memvid_core::Result<()> { + // Create a new memory file + let mut mem = Memvid::create("knowledge.mv2")?; + + // Add documents with metadata + let opts = PutOptions::builder() + .title("Meeting Notes") + .uri("mv2://meetings/2024-01-15") + .tag("project", "alpha") + .build(); + mem.put_bytes_with_options(b"Q4 planning discussion...", opts)?; + mem.commit()?; + + // Search + let response = mem.search(SearchRequest { + query: "planning".into(), + top_k: 10, + snippet_chars: 200, + ..Default::default() + })?; + + for hit in response.hits { + println!("{}: {}", hit.title.unwrap_or_default(), hit.text); + } + + Ok(()) +} +``` + +--- + +## 빌드 + +이 레포지토리 클론: + +```bash +git clone https://github.com/memvid/memvid.git +cd memvid +``` + +디버그 모드로 빌드: + +```bash +cargo build +``` + +배포 모드로 빌드 (optimized): + +```bash +cargo build --release +``` + +특수 기능을 포함하도록 빌드: + +```bash +cargo build --release --features "lex,vec,temporal_track" +``` + +--- + +## 테스트 + +전체 테스트 실행: + +```bash +cargo test +``` + +테스트 실행 및 결과 출력: + +```bash +cargo test -- --nocapture +``` + +특정 테스트 실행: + +```bash +cargo test test_name +``` + +인테그레이션 테스트만 실행: + +```bash +cargo test --test lifecycle +cargo test --test search +cargo test --test mutation +``` + +--- + +## 예시 + +`examples/` 디렉토리에 예제가 있습니다: + +### 기본 사용법 + +생성, 추가, 검색 및 타임라인 작업을 보여줍니다: + +```bash +cargo run --example basic_usage +``` + +### PDF 수집 + +PDF 문서 수집 및 검색 ("Attention Is All You Need" 논문 사용): + +```bash +cargo run --example pdf_ingestion +``` + +### CLIP 이미지 검색 + +CLIP 임베딩을 사용한 이미지 검색 (`clip` 기능 필요): + +```bash +cargo run --example clip_visual_search --features clip +``` + +### Whisper 전사 + +오디오 전사 (`whisper` 기능 필요): + +```bash +cargo run --example test_whisper --features whisper +``` + +--- + +## Text Embedding 모델 + +`vec` 기능은 ONNX 모델을 사용한 로컬 텍스트 임베딩을 포함합니다. 로컬 텍스트 임베딩을 사용하기 전에 모델 파일을 수동으로 다운로드해야 합니다. + +### Quick Start: BGE-small (추천함) + +기본 BGE-small 모델(384 차원, 빠르고 효율적) 다운로드: + +```bash +mkdir -p ~/.cache/memvid/text-models + +# Download ONNX model +curl -L 'https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/bge-small-en-v1.5.onnx + +# Download tokenizer +curl -L 'https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/bge-small-en-v1.5_tokenizer.json +``` + +### 지원 모델 + +| 모델명 | 차원 수 | 크기 | 권장 용도 | +| ----------------------- | ---------- | ----- | --------------------- | +| `bge-small-en-v1.5` | 384 | ~120MB | 기본 설정, 가장 빠름 | +| `bge-base-en-v1.5` | 768 | ~420MB | 꽤 좋은 성능 | +| `nomic-embed-text-v1.5` | 768 | ~530MB | 다양한 업무 가능 | +| `gte-large` | 1024 | ~1.3GB | 가장 좋은 성능 | + +### 타 모델 + +**BGE-base** (768 dimensions): +```bash +curl -L 'https://huggingface.co/BAAI/bge-base-en-v1.5/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/bge-base-en-v1.5.onnx +curl -L 'https://huggingface.co/BAAI/bge-base-en-v1.5/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/bge-base-en-v1.5_tokenizer.json +``` + +**Nomic** (768 dimensions): +```bash +curl -L 'https://huggingface.co/nomic-ai/nomic-embed-text-v1.5/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/nomic-embed-text-v1.5.onnx +curl -L 'https://huggingface.co/nomic-ai/nomic-embed-text-v1.5/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/nomic-embed-text-v1.5_tokenizer.json +``` + +**GTE-large** (1024 dimensions): +```bash +curl -L 'https://huggingface.co/thenlper/gte-large/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/gte-large.onnx +curl -L 'https://huggingface.co/thenlper/gte-large/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/gte-large_tokenizer.json +``` + +### 코드 내 사용법 + +```rust +use memvid_core::text_embed::{LocalTextEmbedder, TextEmbedConfig}; +use memvid_core::types::embedding::EmbeddingProvider; + +// Use default model (BGE-small) +let config = TextEmbedConfig::default(); +let embedder = LocalTextEmbedder::new(config)?; + +let embedding = embedder.embed_text("hello world")?; +assert_eq!(embedding.len(), 384); + +// Use different model +let config = TextEmbedConfig::bge_base(); +let embedder = LocalTextEmbedder::new(config)?; +``` + +유사도 계산 및 검색 랭킹이 포함된 전체 예제는 `examples/text_embedding.rs`를 참조하세요. + +--- + +## 파일 구조 + +모든 구성 요소는 단일 `.mv2` 파일 내에 구성됩니다: + +``` +┌────────────────────────────┐ +│ Header (4KB) │ Magic, version, capacity +├────────────────────────────┤ +│ Embedded WAL (1-64MB) │ Crash recovery +├────────────────────────────┤ +│ Data Segments │ Compressed frames +├────────────────────────────┤ +│ Lex Index │ Tantivy full-text +├────────────────────────────┤ +│ Vec Index │ HNSW vectors +├────────────────────────────┤ +│ Time Index │ Chronological ordering +├────────────────────────────┤ +│ TOC (Footer) │ Segment offsets +└────────────────────────────┘ +``` + +`.wal`, `.lock`, `.shm`, 혹은 그 외의 별도 구성 요소는 없습니다. + +[MV2_SPEC.md](MV2_SPEC.md)에서 파일 세부 형식을 확인할 수 있습니다. + +--- + +## Support + +문의 사항은 아래 이메일로 부탁드립니다. +Email: contact@memvid.com + +**⭐를 눌러 이 프로젝트를 지원해주세요** + +--- + +## License + +Apache License 2.0 — [LICENSE](LICENSE) 파일 참고. diff --git a/docs/i18n/README.md b/docs/i18n/README.md new file mode 100644 index 0000000..180d71a --- /dev/null +++ b/docs/i18n/README.md @@ -0,0 +1,90 @@ +# Internationalization (i18n) - README Translations + +This folder contains translated versions of the main [README.md](../../README.md) file for different languages. + +## Purpose + +The `docs/i18n/` directory is dedicated to making Memvid accessible to developers worldwide by providing localized versions of the main README. Each translation helps non-English speakers understand and use Memvid more effectively. + +## Structure + +``` +docs/i18n/ +├── README.md # This file +├── README.zh-CN.md # Chinese (Simplified) translation +├── README.zh-TW.md # Chinese (Traditional) translation +├── README.es.md # Spanish translation +├── README.fr.md # French translation +├── README.de.md # German translation +├── README.ja.md # Japanese translation +├── README.ko.md # Korean translation +├── README.pt-BR.md # Portuguese (Brazil) translation +├── README.so.md # Somali translation +└── ... # Additional languages +``` + +## Contributing Translations + +We welcome contributions of README translations! For detailed guidelines, see [Contributing Translations](CONTRIBUTING_TRANSLATIONS.md). + +Here's a quick overview: + +### 1. Check Existing Translations + +Before starting, check if a translation for your language already exists or is in progress. + +### 2. Create a Translation File + +- Use the format: `README.{language-code}.md` +- Use standard language codes (e.g., `zh-CN`, `es`, `fr`, `de`, `ja`, `ko`, `pt-BR`, `so`) +- Copy the main `README.md` as a starting point + +### 3. Translation Guidelines + +- **Keep the structure**: Maintain the same headings, sections, and formatting as the original +- **Preserve links**: Keep all URLs and links unchanged +- **Preserve code blocks**: Keep code examples, commands, and technical terms in English (or add comments in the target language) +- **Update badges**: Keep badges and shields as they are (they're language-agnostic) +- **Maintain accuracy**: Ensure technical accuracy while making the content natural in the target language + +### 4. Submit Your Translation + +1. Create a new file: `README.{language-code}.md` in this directory +2. Translate the content while following the guidelines above +3. Submit a pull request with: + - A clear description of the language being added + - Your name/username for attribution (if desired) + +## Language Codes + +Use standard ISO 639-1 or ISO 639-2 language codes: + +- `zh-CN` - Chinese (Simplified) +- `zh-TW` - Chinese (Traditional) +- `es` - Spanish +- `fr` - French +- `de` - German +- `ja` - Japanese +- `ko` - Korean +- `pt-BR` - Portuguese (Brazil) +- `ru` - Russian +- `ar` - Arabic +- `hi` - Hindi +- `so` - Somali +- And more... + +## Maintenance + +Translations should be updated when the main README is significantly changed. Contributors are encouraged to keep their translations in sync with the English version. + +## Questions? + +If you have questions about translations or want to coordinate with other translators, please: +- See [Contributing Translations](CONTRIBUTING_TRANSLATIONS.md) for detailed guidelines +- Open an issue on GitHub +- Join our [Discussions](https://github.com/memvid/memvid/discussions) +- Contact: contact@memvid.com + +--- + +**Thank you for helping make Memvid accessible to developers worldwide! 🌍** diff --git a/docs/i18n/README.nl.md b/docs/i18n/README.nl.md new file mode 100644 index 0000000..9a1f09c --- /dev/null +++ b/docs/i18n/README.nl.md @@ -0,0 +1,347 @@ + +Social Cover (9) + + + +

+ 🇺🇸 English + 🇪🇸 Español + 🇫🇷 Français + 🇸🇴 Soomaali + 🇸🇦 العربية + 🇧🇪/🇳🇱 Nederlands + 🇮🇳 हिन्दी + 🇧🇩 বাংলা + 🇨🇿 Čeština + 🇰🇷 한국어 + 🇯🇵 日本語 + +

+ + + +

+ Website + · + Try Sandbox + · + Docs + · + Discussions +

+ + + +

+ Crates.io + docs.rs + License +

+ +

+ Stars + Forks + Issues + Discord +

+ +

+ memvid%2Fmemvid | Trendshift +

+ + +

+ Memvid is een geheugenlaag van één bestand voor AI-agenten met directe toegang en langetermijnsgeheugen.
+ Volhardend en draagbaar geheugen met versiebeheer en zonder databases. +

+ +

⭐️ Laat een ster achter om het project te steunen ⭐️

+

+ +## Wat is Memvid? + +Memvid is een draagbaar AI-geheugensysteem dat uw data, embedding, zoekstructuur en metadata in één bestand opslaat. + +In plaats van complexe RAG pijplijnen of servergebaseerde vectordatabases te gebruiken, zal Memvid snelle toegang recht vanuit het bestand toestaan. + +Het resultaat is een model-agnostische, infrastructuurvrije geheugenlaag die AI-agenten een volhardende langetermijnsgeheugen geeft, die ze overal kunnen meenemen. + +--- + +## Waarom videoframes? + +Memvid neemt inspiratie uit videos encoderen, niet om de video op te slaan, maar om **het organiseren van AI-geheugen als een ultra-efficiënte sequentie van Smart Frames waarbij je enkel kan toevoegen.** + +Een Smart Frame is een immutabele eenheid die content opslaat samen met zijn tijdstempels, controlesommen en basismetadata. +Frames worden gegroupeerd in een manier die voor efficiënte compressie, indexing en parallele lezingen zorgt. + +Dit frame-gebaseerde design maakt het volgende mogelijk: + +- Append-only bijschrijven van data zonder het aanpassen of corrumperen van bestaande data +- Zoekopdrachten over vorige geheugenstaten +- Tijdlijn-stijl inspectie van hoe kennis evolueert +- Crashveiligheid door de vastgelegde immutabele frames +- Efficiënte compressie gebruikmakend van technieken aangepast uit video encoderen + +Het resultaat is één bestand dat werkt als een terugspoelbare geheugentijdslijn van AI-systemen. + +--- + +## Basisconcepten + +- **Living Memory Engine** + Append, vertakt en evolueert geheugen continu over sessies. + +- **Capsule Context (`.mv2`)** + Autonome, deelbaar geheugencapsules met regels en vervalling. + +- **Time-Travel Debugging** + Spoel terug, herspeel, of vertak elke geheugenstatus. + +- **Smart Recall** + Sub-5ms lokale geheugentoegang met voorspelbare caching. + +- **Codec Intelligence** + Selecteert en verbetert automatisch de compressie doorheen de tijd. + +--- + +## Gebruiksgevallen + +Memvid is een draagbare, serverloze geheugenlaag dat AI-agenten een volhardend geheugen en snelle herroepingen geeft. Door zijn model-agnostische, multi-modale en het feit dat het volledig offline werkt, gebruiken ontwikkelaars het over een wijd scala aan real-world applicaties. + +- Lang werkende AI-agenten +- Kennisbanken voor ondernemingen +- Offline-First AI-systemen +- Codebase-begrip +- Klantenondersteuningsagenten +- Automatisering van de workflow +- Verkoop- en marketingcopiloten +- Persoonlijke Kennisassistenten +- Medische, juridische en financiële adviseurs +- Controleerbare en debugbare AI-workflows +- Aangepaste toepassingen + +--- + +## SDKs & CLI + +Gebruik Memvid in je lievelingstaal: + +| Pakket | Installatie | Links | +| --------------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------- | +| **CLI** | `npm install -g memvid-cli` | [![npm](https://img.shields.io/npm/v/memvid-cli?style=flat-square)](https://www.npmjs.com/package/memvid-cli) | +| **Node.js SDK** | `npm install @memvid/sdk` | [![npm](https://img.shields.io/npm/v/@memvid/sdk?style=flat-square)](https://www.npmjs.com/package/@memvid/sdk) | +| **Python SDK** | `pip install memvid-sdk` | [![PyPI](https://img.shields.io/pypi/v/memvid-sdk?style=flat-square)](https://pypi.org/project/memvid-sdk/) | +| **Rust** | `cargo add memvid-core` | [![Crates.io](https://img.shields.io/crates/v/memvid-core?style=flat-square)](https://crates.io/crates/memvid-core) | + +--- + +## Installatie (Rust) + +### Benodigdheden + +- **Rust 1.85.0+** — Installeer vanuit [rustup.rs](https://rustup.rs) + +### Voeg dit aan je project toe + +```toml +[dependencies] +memvid-core = "2.0" +``` + +### Feature Flags + +| Feature | Beschrijving | +| ------------------- | ---------------------------------------------- | +| `lex` | Full-text search with BM25 ranking (Tantivy) | +| `pdf_extract` | Pure Rust PDF text extraction | +| `vec` | Vector similarity search (HNSW + ONNX) | +| `clip` | CLIP visual embeddings for image search | +| `whisper` | Audio transcription with Whisper | +| `temporal_track` | Natural language date parsing ("last Tuesday") | +| `parallel_segments` | Multi-threaded ingestion | +| `encryption` | Password-based encryption capsules (.mv2e) | + +Schakel functies in indien nodig: + +```toml +[dependencies] +memvid-core = { version = "2.0", features = ["lex", "vec", "temporal_track"] } +``` + +--- + +## Quick Start + +```rust +use memvid_core::{Memvid, PutOptions, SearchRequest}; + +fn main() -> memvid_core::Result<()> { + // Create a new memory file + let mut mem = Memvid::create("knowledge.mv2")?; + + // Add documents with metadata + let opts = PutOptions::builder() + .title("Meeting Notes") + .uri("mv2://meetings/2024-01-15") + .tag("project", "alpha") + .build(); + mem.put_bytes_with_options(b"Q4 planning discussion...", opts)?; + mem.commit()?; + + // Search + let response = mem.search(SearchRequest { + query: "planning".into(), + top_k: 10, + snippet_chars: 200, + ..Default::default() + })?; + + for hit in response.hits { + println!("{}: {}", hit.title.unwrap_or_default(), hit.text); + } + + Ok(()) +} +``` + +--- + +## Build + +Clone de repository: + +```bash +git clone https://github.com/memvid/memvid.git +cd memvid +``` + +Build in debug modus: + +```bash +cargo build +``` + +Build in release modus (geoptimaliseerd): + +```bash +cargo build --release +``` + +Build with specific features: + +```bash +cargo build --release --features "lex,vec,temporal_track" +``` + +--- + +## Tests uitvoeren + +Voer alle tests uit: + +```bash +cargo test +``` + +Voer tests uit met uitvoer: + +```bash +cargo test -- --nocapture +``` + +Voer een specifieke test uit: + +```bash +cargo test test_name +``` + +Voer enkel integratie tests uit: + +```bash +cargo test --test lifecycle +cargo test --test search +cargo test --test mutation +``` + +--- + +## Voorbeelden + +De `examples/` map bedraagd werkende Voorbeelden: + +### Basisgebruik + +Beeldt create, put, search, and timeline operaties uit: + +```bash +cargo run --example basic_usage +``` + +### PDF Ingestion + +PDF-documenten importeren en doorzoeken (gebruikt de "Attention Is All You Need" paper): + +```bash +cargo run --example pdf_ingestion +``` + +### CLIP Visual Search + +Afbeeldingen zoeken met behulp van CLIP-integraties (gebruikt `clip` feature): + +```bash +cargo run --example clip_visual_search --features clip +``` + +### Whisper Transcription + +Audio transcripties (gebruikt `whisper` feature): + +```bash +cargo run --example test_whisper --features whisper +``` + +--- + +## Bestandsformaat + +Alles leeft in één `.mv2` bestand: + +``` +┌────────────────────────────┐ +│ Header (4KB) │ Magic, version, capacity +├────────────────────────────┤ +│ Embedded WAL (1-64MB) │ Crash recovery +├────────────────────────────┤ +│ Data Segments │ Compressed frames +├────────────────────────────┤ +│ Lex Index │ Tantivy full-text +├────────────────────────────┤ +│ Vec Index │ HNSW vectors +├────────────────────────────┤ +│ Time Index │ Chronological ordering +├────────────────────────────┤ +│ TOC (Footer) │ Segment offsets +└────────────────────────────┘ +``` + +Geen `.wal`, `.lock`, `.shm`, of sidecar-bestanden. Ooit. + +Zie [MV2_SPEC.md](MV2_SPEC.md) voor de complete bestandsformaat specificaties. + +--- + +## Ondersteuning + +Heb je vragen of feedback? +Email: contact@memvid.com + +**Laat een ⭐ om je ondersteuning te tonen** + +--- + +## Licentie + +Apache License 2.0 — zie het [LICENSE](LICENSE) bestandvoor details. diff --git a/docs/i18n/README.so.md b/docs/i18n/README.so.md new file mode 100644 index 0000000..2c8c6a8 --- /dev/null +++ b/docs/i18n/README.so.md @@ -0,0 +1,345 @@ + +Social Cover (9) + + + +

+ 🇺🇸 English + 🇪🇸 Español + 🇫🇷 Français + 🇸🇴 Soomaali + 🇸🇦 العربية + 🇧🇪/🇳🇱 Nederlands + 🇮🇳 हिन्दी + 🇧🇩 বাংলা + 🇨🇿 Čeština + 🇰🇷 한국어 + 🇯🇵 日本語 + +

+ + + +

+ Website + · + Try Sandbox + · + Docs + · + Discussions +

+ + + +

+ Crates.io + docs.rs + License +

+ +

+ Stars + Forks + Issues + Discord +

+ +

+ memvid%2Fmemvid | Trendshift +

+ + +

+ Memvid waa nidaam xusuuseed oo hal fayl ah kaas oo loogu talagalay wakiillada AI (AI agents), lehna soo-celin degdeg ah iyo xusuus fog.
+ Xusuus joogto ah, la raadin karo, lana qaadan karo, iyadoo aan loo baahnayn database-yo kale. +

+ +

⭐️ Noo saar STAR si aad mashruuca u taageerto ⭐️

+ +## Waa maxay Memvid? + +Memvid waa nidaam xusuuseed AI oo la qaadan karo kaas oo kuu keydinaya xogtaada, habka raadinta (embeddings), qaabdhismeedka iyo metadata-daba ku ururiya hal fayl oo keliya. + +Halkii aad ka isticmaali lahayd nidaamyada RAG-ga ee adag ama database-yada vector-ka ee ku shaqeeya server-ka, Memvid wuxuu kuu oggolaanayaa inaad xogta si toos ah uga soo ceshato faylka dhexdiisa si aad u degdeg badan. + +Natiijadu waa lakab xusuuseed ka madax-bannaan nooca modelka iyo kaabayaasha (infrastructure-free), kaas oo siiya wakiillada AI(AI agents) xusuus joogto ah oo fog oo ay meel walba u qaadan karaan. + +--- + +## Maxay tahay sababta Frames-ka Muuqaalka (Video Frames)? + +Memvid wuxuu dhiirrigelin ka helayaa habka xogta muuqaalka loo kaydiyo (video encoding), isaga oo aan kaydinayn muuqaal balse u **habaynaya xusuusta AI si isku-xiga (sequence) oo aad u hufan oo "Smart Frames".** + +"Smart Frame" waa unug aan isbeddelayn oo kaydiya macluumaadka oo ay la socdaan waqtiga (timestamps), checksums iyo metadata aasaasi ah. Frames-ka waxaa loo ururiyaa qaab oggolaanaya isku-duubni (compression), tusmeyn (indexing), iyo akhris is-barbar-socda oo hufan. + +Qaabdhismeedkan ku salaysan frames-ka wuxuu suuragelinayaa: + +- Qoraal kaliya oo lagu darayo (Append-only) iyadoo aan la beddelayn ama la kharribayn xogta jirtay +- Baaritaan lagu sameyn karo xaaladihii xusuusta ee hore +- Kormeeridda habka ay aqoontu u kobcayso iyadoo loo eegayo waqtiga +- Badbaadada xogta (crash safety) iyadoo la adeegsanayo frames go'an oo aan isbeddelayn +- Isku-duubni hufan oo loo adeegsanayo farsamooyin laga soo minguuriyay kaydinta muuqaallada + +Natiijadu waa hal fayl oo u dhaqmaya sidii jadwal xusuuseed oo dib loo celin karo oo loogu talagalay nidaamyada AI. + +--- + +## Fikradaha Muhiimka ah + +- **Living Memory Engine** + Si joogto ah ugu dar, u laameey (branch), una kobci xusuusta qeybo kala duwan. + +- **Capsule Context (`.mv2`)** + Capsule xusuuseed oo isku-filan, la wadaagi karo, lehna sharciyo iyo waqti dhicitaan. + +- **Time-Travel Debugging** + Dib u celi, ama qabeey xaalad kasta oo xusuusta ah. + +- **Smart Recall** + Soo-celinta xusuusta gudaha wax ka yar 5ms iyadoo la adeegsanayo kaydinta saadaalinta (predictive caching). + +- **Codec Intelligence** + Si otomaatig ah u doorta una casriyeeya isku-duubnida (compression) waqtiga ka dib. + +--- + +## Meelaha loo adeegsado (Use Cases) + +Memvid waa nidaam xusuuseed oo la qaadan karo oo aan server u baahnayn, kaas oo siiya wakiillada AI(AI agents), xusuus joogto ah iyo soo-celin degdeg ah. Maadaama uu ka madax-bannaan yahay modelka, waxna ku akhriyo qaabab badan (multi-modal), una shaqeeyo si buuxda isagoo aan internet lahayn, horumariyayaashu waxay Memvid u adeegsanayaan hawlo badan: + +- Wakiillada AI(AI Agents) ee muddada dheer shaqeeya +- Keydka aqoonta ee shirkadaha +- Tageerida AI-ga ee ku shaqeeya offline-ka +- Fahamka nidaamyada koodhka (Codebase) +- Wakiillada adeegga macmiilka +- Otomaatigga shaqada (Workflow Automation) +- Kaaliyayaasha iibka iyo suuqgeynta +- Kaaliyayaasha aqoonta shakhsi ahaaneed +- Wakiillada caafimaadka, sharciga, iyo maaliyadda +- Hannaanka shaqada AI-ga oo la baari karo lana saxi karo (Auditable/Debuggable) +- Codsiyada gaarka ah (Custom Applications) + +--- + +## SDKs & CLI + +Ku isticmaal Memvid luuqadda aad doorbidi lahayd: + +| Package | Install | Links | +| --------------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------- | +| **CLI** | `npm install -g memvid-cli` | [![npm](https://img.shields.io/npm/v/memvid-cli?style=flat-square)](https://www.npmjs.com/package/memvid-cli) | +| **Node.js SDK** | `npm install @memvid/sdk` | [![npm](https://img.shields.io/npm/v/@memvid/sdk?style=flat-square)](https://www.npmjs.com/package/@memvid/sdk) | +| **Python SDK** | `pip install memvid-sdk` | [![PyPI](https://img.shields.io/pypi/v/memvid-sdk?style=flat-square)](https://pypi.org/project/memvid-sdk/) | +| **Rust** | `cargo add memvid-core` | [![Crates.io](https://img.shields.io/crates/v/memvid-core?style=flat-square)](https://crates.io/crates/memvid-core) | + +--- + +## Kushubashada (Installation) (Rust) + +### Shuruudaha + +- **Rust 1.85.0+** — Si aad ugu shubato Guji linkagan [rustup.rs](https://rustup.rs) + +### Ku dar Mashruucaaga + +```toml +[dependencies] +memvid-core = "2.0" +``` + +### Feature Flags + +| Feature | Sharaxada | +| ------------------- | ---------------------------------------------- | +| `lex` | Raadinta qoraalka oo dhan oo leh darajada BM25 (Tantivy) | +| `pdf_extract` | Soo saarista qoraalka PDF oo saafi ah | +| `vec` | Raadinta isku-midka ah ee Vector (HNSW + ONNX) | +| `clip` | CLIP visual embeddings oo loogu talagalay raadinta sawirka | +| `whisper` | Beddelka codka iyadoo loo baddelayo qoraal lana adeegsanayo Whisper | +| `temporal_track` | Turjumidda taariikhda ee luuqadda caadiga ah ("Salaasadii hore") | +| `parallel_segments` | Soo gelinta xogta iyadoo la adeegsanayo dhowr nuuc (Multi-threaded) | +| `encryption` | capsules-ka xusuusta ee ku xidhan sirta (password) (.mv2e) | + +U furo sifooyinka (features) sida aad ugu baahan tahay: + +```toml +[dependencies] +memvid-core = { version = "2.0", features = ["lex", "vec", "temporal_track"] } +``` + +--- + +## Bilow Degdeg ah (Quick Start) + +```rust +use memvid_core::{Memvid, PutOptions, SearchRequest}; + +fn main() -> memvid_core::Result<()> { + // Create a new memory file + let mut mem = Memvid::create("knowledge.mv2")?; + + // Add documents with metadata + let opts = PutOptions::builder() + .title("Meeting Notes") + .uri("mv2://meetings/2024-01-15") + .tag("project", "alpha") + .build(); + mem.put_bytes_with_options(b"Q4 planning discussion...", opts)?; + mem.commit()?; + + // Search + let response = mem.search(SearchRequest { + query: "planning".into(), + top_k: 10, + snippet_chars: 200, + ..Default::default() + })?; + + for hit in response.hits { + println!("{}: {}", hit.title.unwrap_or_default(), hit.text); + } + + Ok(()) +} +``` + +--- + +## Dhisid (Build) + +Qeyb ka soo qaado (Clone) kaydka (Repository): + +```bash +git clone https://github.com/memvid/memvid.git +cd memvid +``` + +U dhis habka cilad-baadhista (debug mode): + +```bash +cargo build +``` + +U dhis habka rasmiga ah (release mode - la hagaajiyay): + +```bash +cargo build --release +``` + +Ku dhis sifooyin (features) gaar ah: + +```bash +cargo build --release --features "lex,vec,temporal_track" +``` + +--- + +## Tijaabi iskudayga (Run Tests) + +Tijaabi iskudayada oo dhan: + +```bash +cargo test +``` + +Tijaabi iskudayga iyadoo natiijada la arkayo: + +```bash +cargo test -- --nocapture +``` + +Tijaab iskuday gaar ah: + +```bash +cargo test test_name +``` + +Tijaabi iskudayada isku-xirka (integration tests) ah oo keliya + +```bash +cargo test --test lifecycle +cargo test --test search +cargo test --test mutation +``` + +--- + +## Tusaalooyin (Examples) + +Tusaha `examples/` wuxuu ka kooban yahay tusaalooyin shaqaynaya: + +### Adeegsiga Fudud + +Wuxuu muujinayaa samaynta, gelinta, raadinta, iyo hawlgallada waqtiga (timeline): + +```bash +cargo run --example basic_usage +``` + +### Soo gelinta PDF + +Geli oo baadh dukumiintiyada PDF-ka ah (wuxuu isticmaalaa warqaddii aheyd "Attention Is All You Need"): + +```bash +cargo run --example pdf_ingestion +``` + +### Raadinta Muuqaalka ee CLIP + +Raadinta sawirka iyadoo la adeegsanayo CLIP (waxay u baahan tahay clip feature): + +```bash +cargo run --example clip_visual_search --features clip +``` + +### Beddelka Codka ee Whisper + +Beddelka codka (waxay u baahan tahay whisper feature): + +```bash +cargo run --example test_whisper --features whisper +``` + +--- + +## Qaabka Faylka (File Format) + +Wax walba waxay ku jiraan hal fayl oo .mv2 ah: + +``` +┌────────────────────────────┐ +│ Header (4KB) │ Magic, nooca, awoodda +├────────────────────────────┤ +│ Embedded WAL (1-64MB) │ Kasoo kabashada burburka +├────────────────────────────┤ +│ Data Segments │ Frames la isku-duubay +├────────────────────────────┤ +│ Lex Index │ Tantivy qoraal ka buuxo +├────────────────────────────┤ +│ Vec Index │ HNSW vectors +├────────────────────────────┤ +│ Time Index │ Siday u kala horreeyaan +├────────────────────────────┤ +│ TOC (Footer) │ Meeqaamka qaybaha +└────────────────────────────┘ +``` + +Ma jiraan faylal .wal, .lock, .shm, ama faylal dhinac socda. Weligaa. + +Fiiri [MV2_SPEC.md](MV2_SPEC.md) si aad u hesho faahfaahinta dhammaystiran ee qaabka faylka. + +--- + +## Taageer (Support) + +Ma qabtaa su'aalo ama ra'yi? +Email: contact@memvid.com + +**Noo saar ⭐ si aad u muujiso taageeradaada** + +--- + +## Shatiga (License) + +Apache License 2.0 — Fiiri faylka [LICENSE](LICENSE) si aad u hesho faahfaahin dheeraad ah. diff --git a/docs/i18n/README.zh-CN.md b/docs/i18n/README.zh-CN.md new file mode 100644 index 0000000..bba5c82 --- /dev/null +++ b/docs/i18n/README.zh-CN.md @@ -0,0 +1,517 @@ + +Social Cover (9) + + +
+ +

+ memvid%2Fmemvid | Trendshift +

+ + +

+ Memvid 是专为 AI 智能体设计的单文件记忆层，具备即时检索和长期记忆能力。
+ 持久化、版本化、可移植的记忆，无需数据库。 +

+ + +

+ 官方网站 + · + 尝试一下沙箱 + · + 文档 + · + 讨论区 +

+ + + +

+ Crates.io + docs.rs + 许可证 +

+ +

+ Stars + Forks + Issues + Discord +

+ + + +

⭐️ 给项目点个星标支持我们 ⭐️

+ +## 基准测试亮点 + +**🚀 准确率超越其他记忆系统：** 在 LoCoMo 上领先 SOTA 35%，长时对话回忆与推理能力最佳 + +**🧠 卓越的多跳与时序推理：** 比行业平均水平高出 76% 多跳推理，56% 时序推理 + +**⚡ 超低延迟高吞吐：** P50 仅 0.025ms，P99 仅 0.075ms，吞吐量是标准的 1,372 倍 + +**🔬 完全可复现的基准测试：** LoCoMo（10 次约 26K token 的对话）、开源评估、LLM-as-Judge + + +## 什么是 Memvid？ + +Memvid 是可移植的 AI 记忆系统，将数据、嵌入向量、搜索结构和元数据打包成单个文件。 + +无需运行复杂的 RAG 管道或基于服务器的向量数据库，Memvid 支持直接从文件进行快速检索。 + +结果是模型无关、无基础设施的记忆层，让 AI 智能体拥有可随身携带的持久化长期记忆。 + + +## 什么是 Smart Frames？ + +Memvid 借鉴视频编码的理念，不是为了存储视频，而是**将 AI 记忆组织为仅追加、超高效序列的 Smart Frames。** + +Smart Frame 是存储内容以及时间戳、校验和和基本元数据的不可变单元。 +帧以允许高效压缩、索引和并行读取的方式分组。 + +这种基于帧的设计支持： + +- 仅追加写入，不修改或破坏现有数据 +- 对过去记忆状态的查询 +- 知识演化的时间轴式检查 +- 通过基于提交的不可变帧应对崩溃 +- 使用基于视频编码技术的高效压缩 + +结果是一个表现为 AI 系统可追溯记忆时间线的单文件。 + + +## 核心概念 + +- **Living Memory Engine** + 持续追加、分支和跨会话演进记忆。 + +- **Capsule Context (`.mv2`)** + 自包含、可共享的记忆胶囊，带规则和过期时间。 + +- **Time-Travel Debugging** + 回溯、重放或分支化任何记忆状态。 + +- **Smart Recall** + 小于 5ms 本地记忆访问，具备预测性缓存。 + +- **Codec Intelligence** + 随时间自动选择和升级压缩。 + + +## 使用场景 + +Memvid 是无服务器便携记忆层，为 AI 智能体提供持久记忆和快速召回。由于它是模型无关、多模态且完全离线工作，开发者正在各种现实应用中广泛的使用 Memvid。 + +- 长期运行的 AI 智能体 +- 企业知识库 +- 离线优先 AI 系统 +- 代码库理解 +- 客户支持智能体 +- 工作流自动化 +- 销售与营销助手 +- 个人知识助理 +- 医疗、法律和金融智能体 +- 可审计和可调试的 AI 工作流 +- 自定义应用 + + +## SDKs 与 CLI + +在您喜欢的语言中使用 Memvid： + +| 包 | 安装 | 链接 | +| --------------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------- | +| **CLI** | `npm install -g memvid-cli` | [![npm](https://img.shields.io/npm/v/memvid-cli?style=flat-square)](https://www.npmjs.com/package/memvid-cli) | +| **Node.js SDK** | `npm install @memvid/sdk` | [![npm](https://img.shields.io/npm/v/@memvid/sdk?style=flat-square)](https://www.npmjs.com/package/@memvid/sdk) | +| **Python SDK** | `pip install memvid-sdk` | [![PyPI](https://img.shields.io/pypi/v/memvid-sdk?style=flat-square)](https://pypi.org/project/memvid-sdk/) | +| **Rust** | `cargo add memvid-core` | [![Crates.io](https://img.shields.io/crates/v/memvid-core?style=flat-square)](https://crates.io/crates/memvid-core) | + +--- + +## 安装（Rust） + +### 要求 + +- **Rust 1.85.0+** — 从 [rustup.rs](https://rustup.rs) 安装 + +### 添加到项目 + +```toml +[dependencies] +memvid-core = "2.0" +``` + +### 功能标志 + +| 功能 | 描述 | +| -------------------- | ---------------------------------------------------------------- | +| `lex` | 使用 BM25 排序的全文搜索（Tantivy） | +| `pdf_extract` | 纯 Rust PDF 文本提取 | +| `vec` | 向量相似搜索（HNSW + 通过 ONNX 的本地文本嵌入） | +| `clip` | CLIP 视觉嵌入用于图像搜索 | +| `whisper` | 使用 Whisper 进行音频转录 | +| `api_embed` | 云 API 嵌入（OpenAI） | +| `temporal_track` | 自然语言日期解析（"last Tuesday"） | +| `parallel_segments` | 多线程摄取 | +| `encryption` | 基于密码的加密胶囊（.mv2e） | +| `symspell_cleanup` | 强大的 PDF 文本修复（修复 "emp lo yee" -> "employee"） | + +按需启用功能： + +```toml +[dependencies] +memvid-core = { version = "2.0", features = ["lex", "vec", "temporal_track"] } +``` + + +## 快速开始 + +```rust +use memvid_core::{Memvid, PutOptions, SearchRequest}; + +fn main() -> memvid_core::Result<()> { + // 创建新记忆文件 + let mut mem = Memvid::create("knowledge.mv2")?; + + // 添加带元数据的文档 + let opts = PutOptions::builder() + .title("Meeting Notes") + .uri("mv2://meetings/2024-01-15") + .tag("project", "alpha") + .build(); + mem.put_bytes_with_options(b"Q4 planning discussion...", opts)?; + mem.commit()?; + + // 搜索 + let response = mem.search(SearchRequest { + query: "planning".into(), + top_k: 10, + snippet_chars: 200, + ..Default::default() + })?; + + for hit in response.hits { + println!("{}: {}", hit.title.unwrap_or_default(), hit.text); + } + + Ok(()) +} +``` + +--- + +## 构建 + +克隆仓库： + +```bash +git clone https://github.com/memvid/memvid.git +cd memvid +``` + +以调试模式构建： + +```bash +cargo build +``` + +以发布模式构建（优化）： + +```bash +cargo build --release +``` + +使用特定功能构建： + +```bash +cargo build --release --features "lex,vec,temporal_track" +``` + +--- + +## 运行测试 + +运行所有测试： + +```bash +cargo test +``` + +带输出运行测试： + +```bash +cargo test -- --nocapture +``` + +运行特定测试： + +```bash +cargo test test_name +``` + +仅运行集成测试： + +```bash +cargo test --test lifecycle +cargo test --test search +cargo test --test mutation +``` + +--- + +## 示例 + +`examples/` 目录包含可运行示例： + +### 基本用法 + +演示创建、添加、搜索和时间线操作： + +```bash +cargo run --example basic_usage +``` + +### PDF 提取 + +提取和搜索 PDF 文档（使用 "Attention Is All You Need" 论文）： + +```bash +cargo run --example pdf_ingestion +``` + +### CLIP 可视化搜索 + +使用 CLIP 嵌入进行图像搜索（需要 `clip` 功能）： + +```bash +cargo run --example clip_visual_search --features clip +``` + +### Whisper 转录 + +音频转录（需要 `whisper` 功能）： + +```bash +cargo run --example test_whisper --features whisper -- /path/to/audio.mp3 +``` + +**可用模型：** + +| 模型 | 大小 | 速度 | 用例 | +| ---------------------- | ------ | ------- | ----------------------------------- | +| `whisper-small-en` | 244 MB | 最慢 | 最佳准确度（默认） | +| `whisper-tiny-en` | 75 MB | 快 | 平衡 | +| `whisper-tiny-en-q8k` | 19 MB | 最快 | 快速测试，资源受限 | + +**模型选择：** + +```bash +# 默认（FP32 small，最高准确度） +cargo run --example test_whisper --features whisper -- audio.mp3 + +# 小型量化（小 75%，更快） +MEMVID_WHISPER_MODEL=whisper-tiny-en-q8k cargo run --example test_whisper --features whisper -- audio.mp3 +``` + +**可编程配置：** + +```rust +use memvid_core::{WhisperConfig, WhisperTranscriber}; + +// 默认 FP32 small 模型 +let config = WhisperConfig::default(); + +// 小型量化模型（更快，更小） +let config = WhisperConfig::with_quantization(); + +// 特定模型 +let config = WhisperConfig::with_model("whisper-tiny-en-q8k"); + +let transcriber = WhisperTranscriber::new(&config)?; +let result = transcriber.transcribe_file("audio.mp3")?; +println!("{}", result.text); +``` + + +## 文本嵌入模型 + +`vec` 功能包括使用 ONNX 模型的本地文本嵌入支持。在使用本地文本嵌入之前，您需要手动下载模型文件。 + +### 快速开始：BGE-small（推荐） + +下载默认 BGE-small 模型（384 维，快速高效）： + +```bash +mkdir -p ~/.cache/memvid/text-models + +# 下载 ONNX 模型 +curl -L 'https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/bge-small-en-v1.5.onnx + +# 下载分词器 +curl -L 'https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/bge-small-en-v1.5_tokenizer.json +``` + +### 可用模型 + +| 模型 | 维度 | 大小 | 最适合 | +| ------------------------ | ---------- | ------ | --------------- | +| `bge-small-en-v1.5` | 384 | ~120MB | 默认，快速 | +| `bge-base-en-v1.5` | 768 | ~420MB | 更好的质量 | +| `nomic-embed-text-v1.5` | 768 | ~530MB | 多用途任务 | +| `gte-large` | 1024 | ~1.3GB | 最高质量 | + +### 其他模型 + +**BGE-base**（768 维）： +```bash +curl -L 'https://huggingface.co/BAAI/bge-base-en-v1.5/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/bge-base-en-v1.5.onnx +curl -L 'https://huggingface.co/BAAI/bge-base-en-v1.5/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/bge-base-en-v1.5_tokenizer.json +``` + +**Nomic**（768 维）： +```bash +curl -L 'https://huggingface.co/nomic-ai/nomic-embed-text-v1.5/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/nomic-embed-text-v1.5.onnx +curl -L 'https://huggingface.co/nomic-ai/nomic-embed-text-v1.5/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/nomic-embed-text-v1.5_tokenizer.json +``` + +**GTE-large**（1024 维）： +```bash +curl -L 'https://huggingface.co/thenlper/gte-large/resolve/main/onnx/model.onnx' \ + -o ~/.cache/memvid/text-models/gte-large.onnx +curl -L 'https://huggingface.co/thenlper/gte-large/resolve/main/tokenizer.json' \ + -o ~/.cache/memvid/text-models/gte-large_tokenizer.json +``` + +### 在代码中使用 + +```rust +use memvid_core::text_embed::{LocalTextEmbedder, TextEmbedConfig}; +use memvid_core::types::embedding::EmbeddingProvider; + +// 使用默认模型（BGE-small） +let config = TextEmbedConfig::default(); +let embedder = LocalTextEmbedder::new(config)?; + +let embedding = embedder.embed_text("hello world")?; +assert_eq!(embedding.len(), 384); + +// 使用不同模型 +let config = TextEmbedConfig::bge_base(); +let embedder = LocalTextEmbedder::new(config)?; +``` + +有关相似度计算和搜索排名的完整示例，请参见 `examples/text_embedding.rs`。 + +### 模型一致性 + +为防止意外地模型混合（例如，使用 OpenAI 嵌入查询 BGE-small 索引），您可以将 Memvid 实例显式绑定到特定模型名称： + +```rust +// 将索引绑定到特定模型。 +// 如果之前使用不同模型创建索引将返回错误。 +mem.set_vec_model("bge-small-en-v1.5")?; +``` + +绑定是持久化的。一旦设置，将来尝试使用不同模型名称将快速失败并返回 `ModelMismatch` 错误。 + + + +## API 嵌入（OpenAI） + +`api_embed` 功能使用 OpenAI 的 API 启用基于云的嵌入生成。 + +### 设置 + +设置您的 OpenAI API 密钥： + +```bash +export OPENAI_API_KEY="sk-..." +``` + +### 用法 + +```rust +use memvid_core::api_embed::{OpenAIConfig, OpenAIEmbedder}; +use memvid_core::types::embedding::EmbeddingProvider; + +// 使用默认模型（text-embedding-3-small） +let config = OpenAIConfig::default(); +let embedder = OpenAIEmbedder::new(config)?; + +let embedding = embedder.embed_text("hello world")?; +assert_eq!(embedding.len(), 1536); + +// 使用更高质量模型 +let config = OpenAIConfig::large(); // text-embedding-3-large (3072 维) +let embedder = OpenAIEmbedder::new(config)?; +``` + +### 可用模型 + +| 模型 | 维度 | 最适合 | +| ------------------------ | ---------- | -------------------------- | +| `text-embedding-3-small` | 1536 | 默认，最快，最便宜 | +| `text-embedding-3-large` | 3072 | 最高质量 | +| `text-embedding-ada-002` | 1536 | 传统模型 | + +有关完整示例，请参见 `examples/openai_embedding.rs`。 + + + +## 文件格式 + +所有内容都存储在单个 `.mv2` 文件中： + +``` +┌────────────────────────────┐ +│ Header (4KB) │ 魔数，版本，容量 +├────────────────────────────┤ +│ Embedded WAL (1-64MB) │ 崩溃恢复 +├────────────────────────────┤ +│ Data Segments │ 压缩帧 +├────────────────────────────┤ +│ Lex Index │ Tantivy 全文 +├────────────────────────────┤ +│ Vec Index │ HNSW 向量 +├────────────────────────────┤ +│ Time Index │ 时序排序 +├────────────────────────────┤ +│ TOC (Footer) │ 段偏移 +└────────────────────────────┘ +``` + +不会有 `.wal`、`.lock`、`.shm` 或附带文件。永远不会。 + +有关完整文件格式规范，请参见 [MV2_SPEC.md](MV2_SPEC.md)。 + + + +## 支持 + +有问题或反馈？ +邮箱：contact@memvid.com + +**点个 ⭐ 支持我们** + +--- + +> **Memvid v1（基于 QR 码的记忆）已弃用** +> +> 如果您参考的是 QR 码，那么您正在使用过时信息。 +> +> 参见：https://docs.memvid.com/memvid-v1-deprecation + +--- + +## 许可证 + +Apache License 2.0 — 详细信息请参见 [LICENSE](LICENSE) 文件。 diff --git a/docs/i18n/scripts/auto-add-flags.js b/docs/i18n/scripts/auto-add-flags.js new file mode 100644 index 0000000..2857ecf --- /dev/null +++ b/docs/i18n/scripts/auto-add-flags.js @@ -0,0 +1,249 @@ +const fs = require('fs'); +const path = require('path'); + +const I18N_DIR = path.join(__dirname, '..'); +const ROOT_DIR = path.join(I18N_DIR, '..', '..'); +const README_PATH = path.join(ROOT_DIR, 'README.md'); + +const LANG_MAP = { + 'aa': { emoji: '🌐', name: 'Afar' }, + 'ab': { emoji: '🌐', name: 'Abkhazian' }, + 'ae': { emoji: '🌐', name: 'Avestan' }, + 'af': { emoji: '🇿🇦', name: 'Afrikaans' }, + 'ak': { emoji: '🌐', name: 'Akan' }, + 'am': { emoji: '🇪🇹', name: 'Amharic' }, + 'an': { emoji: '🌐', name: 'Aragonese' }, + 'ar': { emoji: '🇸🇦', name: 'العربية' }, + 'as': { emoji: '🌐', name: 'Assamese' }, + 'av': { emoji: '🌐', name: 'Avaric' }, + 'ay': { emoji: '🌐', name: 'Aymara' }, + 'az': { emoji: '🇦🇿', name: 'Azerbaijani' }, + 'ba': { emoji: '🌐', name: 'Bashkir' }, + 'be': { emoji: '🇧🇾', name: 'Belarusian' }, + 'bg': { emoji: '🇧🇬', name: 'Bulgarian' }, + 'bi': { emoji: '🌐', name: 'Bislama' }, + 'bm': { emoji: '🌐', name: 'Bambara' }, + 'bn': { emoji: '🇧🇩', name: 'বাংলা' }, + 'bo': { emoji: '🌐', name: 'Tibetan' }, + 'br': { emoji: '🌐', name: 'Breton' }, + 'bs': { emoji: '🇧🇦', name: 'Bosnian' }, + 'ca': { emoji: '🇪🇸', name: 'Catalan' }, + 'ce': { emoji: '🌐', name: 'Chechen' }, + 'ch': { emoji: '🌐', name: 'Chamorro' }, + 'co': { emoji: '🌐', name: 'Corsican' }, + 'cr': { emoji: '🌐', name: 'Cree' }, + 'cs': { emoji: '🇨🇿', name: 'Česko' }, + 'cu': { emoji: '🌐', name: 'Church Slavonic' }, + 'cv': { emoji: '🌐', name: 'Chuvash' }, + 'cy': { emoji: '🇬🇧', name: 'Welsh' }, + 'da': { emoji: '🇩🇰', name: 'Danish' }, + 'de': { emoji: '🇩🇪', name: 'Deutsch' }, + 'dv': { emoji: '🌐', name: 'Divehi' }, + 'dz': { emoji: '🇧🇹', name: 'Dzongkha' }, + 'ee': { emoji: '🌐', name: 'Ewe' }, + 'el': { emoji: '🇬🇷', name: 'Greek' }, + 'en': { emoji: '🇺🇸', name: 'English' }, + 'eo': { emoji: '🌐', name: 'Esperanto' }, + 'es': { emoji: '🇪🇸', name: 'Español' }, + 'et': { emoji: '🇪🇪', name: 'Estonian' }, + 'eu': { emoji: '🌐', name: 'Basque' }, + 'fa': { emoji: '🇮🇷', name: 'Persian' }, + 'ff': { emoji: '🌐', name: 'Fulah' }, + 'fi': { emoji: '🇫🇮', name: 'Finnish' }, + 'fj': { emoji: '🌐', name: 'Fijian' }, + 'fo': { emoji: '🌐', name: 'Faroese' }, + 'fr': { emoji: '🇫🇷', name: 'Français' }, + 'fy': { emoji: '🌐', name: 'Western Frisian' }, + 'ga': { emoji: '🇮🇪', name: 'Irish' }, + 'gd': { emoji: '🌐', name: 'Gaelic' }, + 'gl': { emoji: '🌐', name: 'Galician' }, + 'gn': { emoji: '🌐', name: 'Guarani' }, + 'gu': { emoji: '🌐', name: 'Gujarati' }, + 'gv': { emoji: '🌐', name: 'Manx' }, + 'ha': { emoji: '🇳🇬', name: 'Hausa' }, + 'he': { emoji: '🇮🇱', name: 'Hebrew' }, + 'hi': { emoji: '🇮🇳', name: 'हिन्दी' }, + 'ho': { emoji: '🌐', name: 'Hiri Motu' }, + 'hr': { emoji: '🇭🇷', name: 'Croatian' }, + 'ht': { emoji: '🌐', name: 'Haitian' }, + 'hu': { emoji: '🇭🇺', name: 'Hungarian' }, + 'hy': { emoji: '🇦🇲', name: 'Armenian' }, + 'hz': { emoji: '🌐', name: 'Herero' }, + 'ia': { emoji: '🌐', name: 'Interlingua' }, + 'id': { emoji: '🇮🇩', name: 'Bahasa' }, + 'ie': { emoji: '🌐', name: 'Interlingue' }, + 'ig': { emoji: '🇳🇬', name: 'Igbo' }, + 'ii': { emoji: '🌐', name: 'Sichuan Yi' }, + 'ik': { emoji: '🌐', name: 'Inupiaq' }, + 'io': { emoji: '🌐', name: 'Ido' }, + 'is': { emoji: '🇮🇸', name: 'Icelandic' }, + 'it': { emoji: '🇮🇹', name: 'Italiano' }, + 'iu': { emoji: '🌐', name: 'Inuktitut' }, + 'ja': { emoji: '🇯🇵', name: '日本語' }, + 'jv': { emoji: '🌐', name: 'Javanese' }, + 'ka': { emoji: '🇬🇪', name: 'Georgian' }, + 'kg': { emoji: '🌐', name: 'Kongo' }, + 'ki': { emoji: '🌐', name: 'Kikuyu' }, + 'kj': { emoji: '🌐', name: 'Kuanyama' }, + 'kk': { emoji: '🇰🇿', name: 'Kazakh' }, + 'kl': { emoji: '🌐', name: 'Kalaallisut' }, + 'km': { emoji: '🇰🇭', name: 'Central Khmer' }, + 'kn': { emoji: '🌐', name: 'Kannada' }, + 'ko': { emoji: '🇰🇷', name: '한국어' }, + 'kr': { emoji: '🌐', name: 'Kanuri' }, + 'ks': { emoji: '🌐', name: 'Kashmiri' }, + 'ku': { emoji: '🇮🇶', name: 'Kurdish' }, + 'kv': { emoji: '🌐', name: 'Komi' }, + 'kw': { emoji: '🌐', name: 'Cornish' }, + 'ky': { emoji: '🇰🇬', name: 'Kyrgyz' }, + 'la': { emoji: '🌐', name: 'Latin' }, + 'lb': { emoji: '🌐', name: 'Luxembourgish' }, + 'lg': { emoji: '🌐', name: 'Ganda' }, + 'li': { emoji: '🌐', name: 'Limburgan' }, + 'ln': { emoji: '🌐', name: 'Lingala' }, + 'lo': { emoji: '🇱🇦', name: 'Lao' }, + 'lt': { emoji: '🇱🇹', name: 'Lithuanian' }, + 'lu': { emoji: '🌐', name: 'Luba-Katanga' }, + 'lv': { emoji: '🇱🇻', name: 'Latvian' }, + 'mg': { emoji: '🌐', name: 'Malagasy' }, + 'mh': { emoji: '🌐', name: 'Marshallese' }, + 'mi': { emoji: '🌐', name: 'Maori' }, + 'mk': { emoji: '🇲🇰', name: 'Macedonian' }, + 'ml': { emoji: '🌐', name: 'Malayalam' }, + 'mn': { emoji: '🇲🇳', name: 'Mongolian' }, + 'mr': { emoji: '🌐', name: 'Marathi' }, + 'ms': { emoji: '🇲🇾', name: 'Malay' }, + 'mt': { emoji: '🇲🇹', name: 'Maltese' }, + 'my': { emoji: '🇲🇲', name: 'Burmese' }, + 'na': { emoji: '🌐', name: 'Nauru' }, + 'nb': { emoji: '🌐', name: 'Norwegian Bokmål' }, + 'nd': { emoji: '🌐', name: 'North Ndebele' }, + 'ne': { emoji: '🇳🇵', name: 'Nepali' }, + 'ng': { emoji: '🌐', name: 'Ndonga' }, + 'nl': { emoji: '🇧🇪/🇳🇱', name: 'Nederlands' }, + 'nn': { emoji: '🌐', name: 'Norwegian Nynorsk' }, + 'no': { emoji: '🇳🇴', name: 'Norwegian' }, + 'nr': { emoji: '🌐', name: 'South Ndebele' }, + 'nv': { emoji: '🌐', name: 'Navajo' }, + 'ny': { emoji: '🌐', name: 'Chichewa' }, + 'oc': { emoji: '🌐', name: 'Occitan' }, + 'oj': { emoji: '🌐', name: 'Ojibwa' }, + 'om': { emoji: '🌐', name: 'Oromo' }, + 'or': { emoji: '🌐', name: 'Oriya' }, + 'os': { emoji: '🌐', name: 'Ossetian' }, + 'pa': { emoji: '🌐', name: 'Punjabi' }, + 'pi': { emoji: '🌐', name: 'Pali' }, + 'pl': { emoji: '🇵��', name: 'Polski' }, + 'ps': { emoji: '🇦🇫', name: 'Pashto' }, + 'pt': { emoji: '🇵🇹', name: 'Português' }, + 'qu': { emoji: '🌐', name: 'Quechua' }, + 'rm': { emoji: '🌐', name: 'Romansh' }, + 'rn': { emoji: '🌐', name: 'Rundi' }, + 'ro': { emoji: '🇷🇴', name: 'Romanian' }, + 'ru': { emoji: '🇷🇺', name: 'Русский' }, + 'rw': { emoji: '🌐', name: 'Kinyarwanda' }, + 'sa': { emoji: '🌐', name: 'Sanskrit' }, + 'sc': { emoji: '🌐', name: 'Sardinian' }, + 'sd': { emoji: '🌐', name: 'Sindhi' }, + 'se': { emoji: '🌐', name: 'Northern Sami' }, + 'sg': { emoji: '🌐', name: 'Sango' }, + 'si': { emoji: '🇱🇰', name: 'Sinhala' }, + 'sk': { emoji: '🇸🇰', name: 'Slovak' }, + 'sl': { emoji: '🇸🇮', name: 'Slovenian' }, + 'sm': { emoji: '🌐', name: 'Samoan' }, + 'sn': { emoji: '🌐', name: 'Shona' }, + 'so': { emoji: '🇸🇴', name: 'Soomaali' }, + 'sq': { emoji: '🇦🇱', name: 'Albanian' }, + 'sr': { emoji: '🇷🇸', name: 'Serbian' }, + 'ss': { emoji: '🌐', name: 'Swati' }, + 'st': { emoji: '🇿🇦', name: 'Southern Sotho' }, + 'su': { emoji: '🌐', name: 'Sundanese' }, + 'sv': { emoji: '🇸🇪', name: 'Swedish' }, + 'sw': { emoji: '🇰🇪', name: 'Swahili' }, + 'ta': { emoji: '🌐', name: 'Tamil' }, + 'te': { emoji: '🌐', name: 'Telugu' }, + 'tg': { emoji: '🇹🇯', name: 'Tajik' }, + 'th': { emoji: '🇹🇭', name: 'Thai' }, + 'ti': { emoji: '🌐', name: 'Tigrinya' }, + 'tk': { emoji: '🇹🇲', name: 'Turkmen' }, + 'tl': { emoji: '🇵🇭', name: 'Tagalog' }, + 'tn': { emoji: '🌐', name: 'Tswana' }, + 'to': { emoji: '🌐', name: 'Tonga' }, + 'tr': { emoji: '🇹🇷', name: 'Türkçe' }, + 'ts': { emoji: '🌐', name: 'Tsonga' }, + 'tt': { emoji: '🌐', name: 'Tatar' }, + 'tw': { emoji: '🌐', name: 'Twi' }, + 'ty': { emoji: '🌐', name: 'Tahitian' }, + 'ug': { emoji: '🌐', name: 'Uighur' }, + 'uk': { emoji: '🇺🇦', name: 'Ukrainian' }, + 'ur': { emoji: '🇵🇰', name: 'Urdu' }, + 'uz': { emoji: '🇺🇿', name: 'Uzbek' }, + 've': { emoji: '🌐', name: 'Venda' }, + 'vi': { emoji: '🇻🇳', name: 'Tiếng Việt' }, + 'vo': { emoji: '🌐', name: 'Volapük' }, + 'wa': { emoji: '🌐', name: 'Walloon' }, + 'wo': { emoji: '🌐', name: 'Wolof' }, + 'xh': { emoji: '🇿🇦', name: 'Xhosa' }, + 'yi': { emoji: '🌐', name: 'Yiddish' }, + 'yo': { emoji: '🇳🇬', name: 'Yoruba' }, + 'za': { emoji: '🌐', name: 'Zhuang' }, + 'zh': { emoji: '🇨🇳', name: '中文' }, + 'zh-CN': { emoji: '🇨🇳', name: '中文 (简体)' }, + 'zh-HK': { emoji: '🇭🇰', name: '中文 (繁體)' }, + 'zh-Hans': { emoji: '🇨🇳', name: '中文 (简体)' }, + 'zh-Hant': { emoji: '🇹🇼', name: '中文 (繁體)' }, + 'zh-MO': { emoji: '🇲🇴', name: '中文 (繁體)' }, + 'zh-SG': { emoji: '🇸🇬', name: '中文 (繁體)' }, + 'zh-TW': { emoji: '🇹🇼', name: '中文 (繁體)' }, + 'zu': { emoji: '🇿🇦', name: 'Zulu' }, +}; + +function autoAddFlags() { + if (!fs.existsSync(README_PATH)) { + console.error('Error: Cannot find ' + README_PATH); + process.exit(1); + } + + let readmeContent = fs.readFileSync(README_PATH, 'utf-8'); + const marker = ' '; + + if (!readmeContent.includes(marker)) { + console.warn('Error: marker not found in ' + README_PATH); + console.warn('Please add the marker where you want new flags to be inserted.'); + return; + } + + const files = fs.readdirSync(I18N_DIR); + + const translationFiles = files.filter(f => + f.startsWith('README') && + f.endsWith('.md') && + f !== 'README.md' + ); + + let updated = false; + + translationFiles.forEach(file => { + const code = file.split('.')[1]; + const lang = LANG_MAP[code]; + + if (!lang) return; + + const flagLink = ` ${lang.emoji} ${lang.name}`; + + if (!readmeContent.includes(file)) { + readmeContent = readmeContent.replace(marker, flagLink + '\n' + marker); + updated = true; + console.log('Added ' + code); + } + }); + + if (updated) { + fs.writeFileSync(README_PATH, readmeContent, 'utf-8'); + console.log('Main README updated.'); + } else { + console.log('No new flags to add.'); + } +} + +autoAddFlags(); diff --git a/docs/i18n/scripts/update-localized-readmes.js b/docs/i18n/scripts/update-localized-readmes.js new file mode 100644 index 0000000..1778444 --- /dev/null +++ b/docs/i18n/scripts/update-localized-readmes.js @@ -0,0 +1,114 @@ +const fs = require('fs'); +const path = require('path'); + +const I18N_DIR = path.join(__dirname, '..'); +const ROOT_DIR = path.join(I18N_DIR, '..', '..'); +const README_PATH = path.join(ROOT_DIR, 'README.md'); + +const MARKERS = { + HEADER: { + START: '', + END: '' + }, + FLAGS: { + START: '', + END: '' + }, + NAV: { + START: '', + END: '' + }, + BADGES: { + START: '', + END: '' + } +}; + +function extractBlock(content, marker) { + const startIdx = content.indexOf(marker.START); + const endIdx = content.indexOf(marker.END); + + if (startIdx === -1 || endIdx === -1) { + return null; + } + + return content.substring(startIdx, endIdx + marker.END.length); +} + +function updateOrInsertBlock(targetContent, blockKey, blockValue, fallbackAnchor = null) { + const marker = MARKERS[blockKey]; + const startIdx = targetContent.indexOf(marker.START); + const endIdx = targetContent.indexOf(marker.END); + + if (startIdx !== -1 && endIdx !== -1) { + const prefix = targetContent.substring(0, startIdx); + const suffix = targetContent.substring(endIdx + marker.END.length); + return prefix + blockValue + suffix; + } + + if (startIdx !== -1 || endIdx !== -1) { + let cleaned = targetContent.split(marker.START).join(''); + cleaned = cleaned.split(marker.END).join(''); + return updateOrInsertBlock(cleaned, blockKey, blockValue, fallbackAnchor); + } + + if (fallbackAnchor) { + const anchorIdx = targetContent.indexOf(fallbackAnchor); + if (anchorIdx !== -1) { + const insertAfterIdx = targetContent.indexOf('\n', anchorIdx) + 1; + const prefix = targetContent.substring(0, insertAfterIdx); + const suffix = targetContent.substring(insertAfterIdx); + return prefix + '\n' + blockValue + '\n' + suffix; + } + } + + return targetContent + '\n\n' + blockValue; +} + +function updateLocalizedReadmes() { + if (!fs.existsSync(README_PATH)) { + console.error('Error: Cannot find ' + README_PATH); + process.exit(1); + } + + const readmeContent = fs.readFileSync(README_PATH, 'utf-8'); + + const headerBlock = extractBlock(readmeContent, MARKERS.HEADER); + const flagsBlock = extractBlock(readmeContent, MARKERS.FLAGS); + const navBlock = extractBlock(readmeContent, MARKERS.NAV); + const badgesBlock = extractBlock(readmeContent, MARKERS.BADGES); + + if (!headerBlock || !flagsBlock || !navBlock || !badgesBlock) { + console.error('Error: Some markers are missing in main README.md'); + if (!headerBlock) console.error('Missing: HEADER'); + if (!flagsBlock) console.error('Missing: FLAGS'); + if (!navBlock) console.error('Missing: NAV'); + if (!badgesBlock) console.error('Missing: BADGES'); + process.exit(1); + } + + let flagsI18n = flagsBlock.split('href="docs/i18n/').join('href="'); + flagsI18n = flagsI18n.split('href="README.md"').join('href="../../README.md"'); + + const files = fs.readdirSync(I18N_DIR); + const targetFiles = files + .filter(file => file.startsWith('README.') && file.endsWith('.md') && file !== 'README.md') + .map(file => path.join(I18N_DIR, file)); + + targetFiles.forEach(filePath => { + let content = fs.readFileSync(filePath, 'utf-8'); + const fileName = path.basename(filePath); + + content = updateOrInsertBlock(content, 'HEADER', headerBlock, ' Result<()> { + // Create a temporary directory for our example + let dir = tempdir().expect("failed to create temp dir"); + let path: PathBuf = dir.path().join("example.mv2"); + + println!("=== Memvid Core Basic Usage Example ===\n"); + + // ======================================== + // 1. CREATE a new memory file + // ======================================== + println!("1. Creating memory file at {:?}", path); + let mut mem = Memvid::create(&path)?; + println!(" Memory created successfully!\n"); + + // ======================================== + // 2. PUT documents into the memory + // ======================================== + println!("2. Adding documents to memory..."); + + // Simple put with just bytes + let seq1 = mem.put_bytes(b"Hello, Memvid! This is a simple text document.")?; + println!(" Added document 1, sequence: {}", seq1); + + // Put with options (title, URI, tags) + let options = PutOptions::builder() + .title("Getting Started Guide") + .uri("mv2://docs/getting-started.md") + .tag("category", "documentation") + .tag("version", "2.0") + .build(); + let seq2 = mem.put_bytes_with_options( + b"This guide covers the basics of using Memvid for AI memory storage.", + options, + )?; + println!(" Added document 2 (with metadata), sequence: {}", seq2); + + // Add more documents + let options = PutOptions::builder() + .title("API Reference") + .uri("mv2://docs/api-reference.md") + .tag("category", "documentation") + .build(); + mem.put_bytes_with_options( + b"The Memvid API provides methods for create, put, find, and timeline operations.", + options, + )?; + + let options = PutOptions::builder() + .title("FAQ") + .uri("mv2://docs/faq.md") + .tag("category", "support") + .build(); + mem.put_bytes_with_options( + b"Frequently asked questions about Memvid memory files and search.", + options, + )?; + + // Commit changes to persist them + mem.commit()?; + println!(" Committed all changes\n"); + + // ======================================== + // 3. STATS - Check memory statistics + // ======================================== + println!("3. Memory statistics:"); + let stats = mem.stats()?; + println!(" Frame count: {}", stats.frame_count); + println!(" Has lexical index: {}", stats.has_lex_index); + println!(" Has vector index: {}", stats.has_vec_index); + println!(" Has time index: {}", stats.has_time_index); + println!(); + + // ======================================== + // 4. FIND - Search for documents + // ======================================== + println!("4. Searching for documents..."); + + // Search for "memvid" + let request = SearchRequest { + query: "memvid".to_string(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }; + let response = mem.search(request)?; + println!(" Query: 'memvid'"); + println!(" Total hits: {}", response.total_hits); + println!(" Elapsed: {}ms", response.elapsed_ms); + for hit in &response.hits { + let title = hit.title.as_deref().unwrap_or("Untitled"); + let score = hit.score.unwrap_or(0.0); + println!(" - [{}] {} (score: {:.3})", hit.frame_id, title, score); + println!( + " Snippet: {}...", + &hit.text.chars().take(60).collect::() + ); + } + println!(); + + // Search within a scope + let request = SearchRequest { + query: "documentation".to_string(), + top_k: 10, + snippet_chars: 100, + uri: None, + scope: Some("mv2://docs/".to_string()), + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }; + let response = mem.search(request)?; + println!(" Query: 'documentation' (scope: mv2://docs/)"); + println!(" Total hits: {}", response.total_hits); + println!(); + + // ======================================== + // 5. TIMELINE - Browse documents chronologically + // ======================================== + println!("5. Timeline (chronological view):"); + let timeline = mem.timeline(TimelineQuery::default())?; + for entry in &timeline { + let uri = entry.uri.as_deref().unwrap_or("(no uri)"); + println!( + " [{}] {} - {}", + entry.frame_id, + uri, + entry.preview.chars().take(40).collect::() + ); + } + println!(); + + // ======================================== + // 6. REOPEN - Close and reopen the memory + // ======================================== + println!("6. Closing and reopening memory..."); + drop(mem); + + let reopened = Memvid::open(&path)?; + let stats = reopened.stats()?; + println!(" Reopened successfully!"); + println!(" Frame count after reopen: {}", stats.frame_count); + println!(); + + // ======================================== + // 7. VERIFY - Check file integrity + // ======================================== + println!("7. Verifying file integrity..."); + drop(reopened); // Close the memory before verifying + let report = Memvid::verify(&path, false)?; + println!(" Verification status: {:?}", report.overall_status); + println!(); + + println!("=== Example completed successfully! ==="); + + Ok(()) +} diff --git a/examples/clip_visual_search.rs b/examples/clip_visual_search.rs new file mode 100644 index 0000000..72f4ec8 --- /dev/null +++ b/examples/clip_visual_search.rs @@ -0,0 +1,260 @@ +//! CLIP Visual Search Example +//! +//! Demonstrates using CLIP embeddings to search PDF pages and images +//! using natural language queries. +//! +//! Run with: +//! ```bash +//! cargo run --example clip_visual_search --features clip,pdfium -- /path/to/pdf +//! ``` +//! +//! Prerequisites: +//! 1. Download the MobileCLIP-S2 ONNX models: +//! ```bash +//! mkdir -p ~/.local/share/memvid/models +//! curl -L 'https://huggingface.co/Xenova/mobileclip_s2/resolve/main/onnx/vision_model_int8.onnx' \ +//! -o ~/.local/share/memvid/models/mobileclip-s2_vision.onnx +//! curl -L 'https://huggingface.co/Xenova/mobileclip_s2/resolve/main/onnx/text_model_int8.onnx' \ +//! -o ~/.local/share/memvid/models/mobileclip-s2_text.onnx +//! ``` +//! +//! 2. For PDF page rendering, install pdfium: +//! - macOS: `brew install nicbarker/pdfium/pdfium-mac-arm64` or `pdfium-mac-x64` +//! - Linux: Download from https://github.com/nicbarker/pdfium-builds/releases + +fn main() -> memvid_core::Result<()> { + #[cfg(not(feature = "clip"))] + { + eprintln!("This example requires the 'clip' feature."); + eprintln!("Run with: cargo run --example clip_visual_search --features clip"); + Ok(()) + } + + #[cfg(feature = "clip")] + { + use memvid_core::clip::{ClipConfig, ClipIndex, ClipIndexBuilder, ClipModel}; + use std::env; + use std::path::PathBuf; + use tempfile::tempdir; + + println!("=== CLIP Visual Search Example ===\n"); + + // Get PDF path from args or use default + let args: Vec = env::args().collect(); + let pdf_path = if args.len() > 1 { + PathBuf::from(&args[1]) + } else { + // Default to the SP Global Impact Report if no path provided + PathBuf::from( + "/Users/olow/Desktop/memvid-org/brickfield/sp-global-impact-report-2024.pdf", + ) + }; + + if !pdf_path.exists() { + eprintln!("PDF not found: {}", pdf_path.display()); + eprintln!( + "Usage: cargo run --example clip_visual_search --features clip,pdfium -- /path/to/pdf" + ); + return Ok(()); + } + + println!("PDF: {}", pdf_path.display()); + + // Initialize CLIP model + println!("\n1. Loading CLIP model..."); + let config = ClipConfig::default(); + println!(" Model: {}", config.model_name); + println!(" Models dir: {}", config.models_dir.display()); + + let clip = match ClipModel::new(config) { + Ok(model) => { + println!(" Model initialized (lazy loading)"); + model + } + Err(e) => { + eprintln!(" Failed to initialize CLIP: {}", e); + eprintln!("\n Make sure to download the models first:"); + eprintln!(" mkdir -p ~/.local/share/memvid/models"); + eprintln!( + " curl -L 'https://huggingface.co/Xenova/mobileclip_s2/resolve/main/onnx/vision_model_int8.onnx' \\" + ); + eprintln!(" -o ~/.local/share/memvid/models/mobileclip-s2_vision.onnx"); + return Ok(()); + } + }; + + // For this demo, we'll create synthetic embeddings since PDF rendering + // requires pdfium which may not be available + println!("\n2. Building CLIP index with sample embeddings..."); + + let mut builder = ClipIndexBuilder::new(); + + // Simulate embeddings for 10 "pages" with different visual concepts + // In real usage, you would: + // 1. Render each PDF page to an image + // 2. Pass the image to clip.encode_image(&image) + // 3. Store the embedding with the page's frame_id + + let sample_concepts: Vec<(&str, Vec)> = vec![ + // These would be real embeddings from actual images in production + ( + "charts and graphs", + random_embedding(clip.dims() as usize, 1), + ), + ( + "sustainability report cover", + random_embedding(clip.dims() as usize, 2), + ), + ( + "ESG metrics table", + random_embedding(clip.dims() as usize, 3), + ), + ( + "environmental impact diagram", + random_embedding(clip.dims() as usize, 4), + ), + ( + "carbon emissions chart", + random_embedding(clip.dims() as usize, 5), + ), + ( + "renewable energy infographic", + random_embedding(clip.dims() as usize, 6), + ), + ( + "corporate governance structure", + random_embedding(clip.dims() as usize, 7), + ), + ( + "diversity statistics", + random_embedding(clip.dims() as usize, 8), + ), + ( + "supply chain map", + random_embedding(clip.dims() as usize, 9), + ), + ( + "financial highlights", + random_embedding(clip.dims() as usize, 10), + ), + ]; + + for (i, (concept, embedding)) in sample_concepts.iter().enumerate() { + builder.add_document(i as u64, Some(i as u32), embedding.clone()); + println!(" Added page {} ({})", i + 1, concept); + } + + let artifact = builder.finish()?; + println!( + "\n Index built: {} vectors, {} dimensions", + artifact.vector_count, artifact.dimension + ); + + // Decode the index for searching + let index = ClipIndex::decode(&artifact.bytes)?; + + // Demonstrate text-to-image search + println!("\n3. Searching with natural language queries...\n"); + + // Try encoding a text query + println!(" Encoding query: 'sustainability charts'"); + match clip.encode_text("sustainability charts") { + Ok(query_embedding) => { + println!(" Query embedding: {} dimensions", query_embedding.len()); + + let hits = index.search(&query_embedding, 3); + println!("\n Top 3 matches:"); + for (rank, hit) in hits.iter().enumerate() { + let concept = sample_concepts + .get(hit.frame_id as usize) + .map(|(c, _)| *c) + .unwrap_or("unknown"); + println!( + " {}. Page {} ({}) - distance: {:.4}", + rank + 1, + hit.frame_id + 1, + concept, + hit.distance + ); + } + } + Err(e) => { + eprintln!(" Failed to encode text (model not loaded): {}", e); + eprintln!(" Make sure the text model ONNX file is downloaded."); + } + } + + // Demo with Memvid integration + println!("\n4. Creating Memvid memory with CLIP support..."); + + let dir = tempdir().expect("failed to create temp dir"); + let path = dir.path().join("clip_demo.mv2"); + + let mut mem = memvid_core::Memvid::create(&path)?; + + // Enable CLIP index + mem.enable_clip()?; + println!(" CLIP index enabled"); + + // Add some sample documents + let options = memvid_core::PutOptions::builder() + .title("SP Global Impact Report 2024 - Page 1") + .uri("mv2://reports/sp-global/page-1") + .build(); + mem.put_bytes_with_options( + b"This page contains sustainability charts and ESG metrics.", + options, + )?; + + mem.commit()?; + println!(" Added sample document"); + + let stats = mem.stats()?; + println!("\n Memory stats:"); + println!(" - Frames: {}", stats.frame_count); + println!(" - Has CLIP index: {}", stats.has_clip_index); + + // Search CLIP index (would use pre-computed query embedding in production) + // Since we haven't added actual CLIP embeddings to the memory, + // the search would return empty results - this is just to show the API + + println!("\n=== Example completed successfully! ==="); + println!("\nTo use CLIP in production:"); + println!("1. During ingestion: Generate CLIP embeddings for images/PDF pages"); + println!("2. Store embeddings in the CLIP index alongside text content"); + println!("3. At query time: Encode the text query with clip.encode_text()"); + println!("4. Search the CLIP index with mem.search_clip(&query_embedding, limit)"); + + Ok(()) + } +} + +/// Generate a pseudo-random embedding for demo purposes +/// In production, use clip.encode_image() on actual images +#[cfg(feature = "clip")] +fn random_embedding(dims: usize, seed: u64) -> Vec { + use std::collections::hash_map::DefaultHasher; + use std::hash::{Hash, Hasher}; + + let mut hasher = DefaultHasher::new(); + let mut embedding = Vec::with_capacity(dims); + + for i in 0..dims { + (seed, i).hash(&mut hasher); + let hash = hasher.finish(); + // Generate pseudo-random float between -1 and 1 + let val = ((hash as f32) / (u64::MAX as f32)) * 2.0 - 1.0; + embedding.push(val); + hasher = DefaultHasher::new(); + } + + // L2 normalize + let norm: f32 = embedding.iter().map(|x| x * x).sum::().sqrt(); + if norm > 1e-10 { + for v in &mut embedding { + *v /= norm; + } + } + + embedding +} diff --git a/examples/generate_performance_report.rs b/examples/generate_performance_report.rs new file mode 100644 index 0000000..da570b0 --- /dev/null +++ b/examples/generate_performance_report.rs @@ -0,0 +1,162 @@ +//! Generate visual performance comparison report +//! +//! Run with: cargo run --example generate_performance_report --features lex + +use memvid_core::{Memvid, PutOptions, SearchRequest}; +use std::time::Instant; + +fn main() -> memvid_core::Result<()> { + println!("=== Search Precision Performance Report ===\n"); + + // Create test corpus + println!("Setting up test corpus (1000 documents)..."); + let temp_file = "/tmp/perf_test.mv2"; + let _ = std::fs::remove_file(temp_file); + + let mut mem = Memvid::create(temp_file)?; + + // Add 1000 documents with controlled distribution + for i in 0..1000 { + let topic = match i % 5 { + 0 => ("machine learning", "neural networks"), + 1 => ("python programming", "software development"), + 2 => ("machine learning with python", "data science"), + 3 => ("rust systems programming", "memory safety"), + _ => ("web development", "javascript frameworks"), + }; + + let content = format!( + "Document {} about {}. This article covers {} in depth.", + i, topic.0, topic.1 + ); + + mem.put_bytes_with_options( + content.as_bytes(), + PutOptions::builder() + .title(format!("Doc {} - {}", i, topic.0)) + .build(), + )?; + + if (i + 1) % 100 == 0 { + mem.commit()?; + } + } + mem.commit()?; + println!("✓ Corpus ready\n"); + + // Test queries + let test_queries = vec![ + ("machine python", "Both terms"), + ("machine learning python", "Three terms"), + ("python programming development", "Three terms"), + ("rust memory safety", "Two terms"), + ]; + + println!("┌─────────────────────────────────────────────────────────────────────┐"); + println!("│ QUERY PERFORMANCE METRICS │"); + println!("├─────────────────────────────────────────────────────────────────────┤"); + + for (query, desc) in &test_queries { + // Warm up + for _ in 0..10 { + let _ = mem.search(SearchRequest { + query: query.to_string(), + top_k: 100, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + })?; + } + + // Measure + let iterations = 100; + let start = Instant::now(); + + let mut total_results = 0; + let mut total_relevant = 0; + + for _ in 0..iterations { + let results = mem.search(SearchRequest { + query: query.to_string(), + top_k: 100, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + })?; + + let terms: Vec<&str> = query.split_whitespace().collect(); + let relevant = results + .hits + .iter() + .filter(|hit| { + let text = hit.text.to_lowercase(); + terms.iter().all(|term| text.contains(term)) + }) + .count(); + + total_results += results.hits.len(); + total_relevant += relevant; + } + + let elapsed = start.elapsed(); + let avg_latency_us = elapsed.as_micros() / iterations as u128; // FIX: Cast to u128 + let avg_results = total_results / iterations; + let avg_relevant = total_relevant / iterations; + let precision = if avg_results > 0 { + (avg_relevant as f64 / avg_results as f64) * 100.0 + } else { + 0.0 + }; + + println!("│"); + println!("│ Query: \"{}\" ({})", query, desc); + println!("│ Latency: {:.2}ms", avg_latency_us as f64 / 1000.0); + println!("│ Results: {} docs", avg_results); + println!("│ Relevant: {} docs", avg_relevant); + println!("│ Precision: {:.1}%", precision); + println!("│ Memory: ~{} KB", (avg_results * 3).max(1)); + } + + println!("└─────────────────────────────────────────────────────────────────────┘"); + + // Comparison with hypothetical OR behavior + println!("\n┌─────────────────────────────────────────────────────────────────────┐"); + println!("│ COMPARISON: AND vs OR (Estimated) │"); + println!("├─────────────────────────────────────────────────────────────────────┤"); + println!("│"); + println!("│ Query: \"machine python\""); + println!("│"); + println!("│ WITH AND (Current): │ WITH OR (Previous):"); + println!("│ • Results: ~5-8 docs │ • Results: ~80-120 docs"); + println!("│ • Precision: 100% │ • Precision: ~6-8%"); + println!("│ • Memory: ~20 KB │ • Memory: ~300 KB"); + println!("│ • Processing: 6-10ms │ • Processing: 96-144ms"); + println!("│"); + println!("│ IMPROVEMENT: "); + println!("│ ✓ 15x better precision (6% → 100%) "); + println!("│ ✓ 93% less memory (300KB → 20KB) "); + println!("│ ✓ 93% faster processing (120ms → 8ms) "); + println!("│ ✓ No query latency regression (~1.2ms) "); + println!("│"); + println!("└─────────────────────────────────────────────────────────────────────┘"); + + std::fs::remove_file(temp_file)?; + + Ok(()) +} diff --git a/examples/openai_embedding.rs b/examples/openai_embedding.rs new file mode 100644 index 0000000..184aa38 --- /dev/null +++ b/examples/openai_embedding.rs @@ -0,0 +1,163 @@ +//! Example demonstrating OpenAI API embedding usage. +//! +//! This example shows how to: +//! - Create an OpenAI embedder with default configuration +//! - Generate embeddings using the API +//! - Compute cosine similarity between embeddings +//! - Use different models (small, large, ada) +//! +//! ## Prerequisites +//! +//! Set your OpenAI API key: +//! ```bash +//! export OPENAI_API_KEY="sk-..." +//! ``` +//! +//! ## Run +//! +//! ```bash +//! cargo run --example openai_embedding --features api_embed +//! ``` + +use memvid_core::Result; + +#[cfg(feature = "api_embed")] +use memvid_core::api_embed::{OpenAIConfig, OpenAIEmbedder}; +#[cfg(feature = "api_embed")] +use memvid_core::types::embedding::EmbeddingProvider; + +/// Compute cosine similarity between two vectors +fn cosine_similarity(a: &[f32], b: &[f32]) -> f32 { + assert_eq!(a.len(), b.len(), "Vectors must have same length"); + + let dot_product: f32 = a.iter().zip(b.iter()).map(|(x, y)| x * y).sum(); + let norm_a: f32 = a.iter().map(|x| x * x).sum::().sqrt(); + let norm_b: f32 = b.iter().map(|x| x * x).sum::().sqrt(); + + if norm_a > 0.0 && norm_b > 0.0 { + dot_product / (norm_a * norm_b) + } else { + 0.0 + } +} + +#[cfg(feature = "api_embed")] +fn main() -> Result<()> { + println!("=== OpenAI Embedding Example ===\n"); + + // Check if API key is set + if std::env::var("OPENAI_API_KEY").is_err() { + eprintln!("Error: OPENAI_API_KEY environment variable not set."); + eprintln!("Please set it with: export OPENAI_API_KEY=\"sk-...\""); + std::process::exit(1); + } + + // Create embedder with default config (text-embedding-3-small, 1536 dimensions) + println!("Creating OpenAI embedder (text-embedding-3-small)..."); + let config = OpenAIConfig::default(); + let embedder = OpenAIEmbedder::new(config)?; + + println!("Model: {}", embedder.model()); + println!("Kind: {}", embedder.kind()); + println!("Dimensions: {}", embedder.dimension()); + println!("Ready: {}\n", embedder.is_ready()); + + // Example 1: Single text embedding + println!("--- Example 1: Single Text Embedding ---"); + let text = "The quick brown fox jumps over the lazy dog"; + println!("Embedding text: \"{}\"", text); + + let embedding = embedder.embed_text(text)?; + println!("Generated embedding of dimension {}\n", embedding.len()); + + // Example 2: Semantic similarity + println!("--- Example 2: Semantic Similarity ---"); + let text1 = "Machine learning and artificial intelligence"; + let text2 = "Deep neural networks for AI applications"; + let text3 = "The history of ancient Rome"; + + let emb1 = embedder.embed_text(text1)?; + let emb2 = embedder.embed_text(text2)?; + let emb3 = embedder.embed_text(text3)?; + + println!("Text 1: \"{}\"", text1); + println!("Text 2: \"{}\"", text2); + println!("Text 3: \"{}\"", text3); + println!(); + + let sim_1_2 = cosine_similarity(&emb1, &emb2); + let sim_1_3 = cosine_similarity(&emb1, &emb3); + let sim_2_3 = cosine_similarity(&emb2, &emb3); + + println!("Similarity (1 ↔ 2): {:.4}", sim_1_2); + println!("Similarity (1 ↔ 3): {:.4}", sim_1_3); + println!("Similarity (2 ↔ 3): {:.4}", sim_2_3); + + if sim_1_2 > sim_1_3 { + println!("\n✓ Related texts (1 & 2) have higher similarity than unrelated (1 & 3)!"); + } + println!(); + + // Example 3: Batch processing + println!("--- Example 3: Batch Processing ---"); + let documents = vec![ + "Python programming language", + "JavaScript web development", + "Rust systems programming", + "Italian cooking recipes", + ]; + + println!("Processing {} documents in batch...", documents.len()); + let batch_embeddings = embedder.embed_batch(&documents)?; + println!( + "✓ Generated {} embeddings of dimension {}\n", + batch_embeddings.len(), + batch_embeddings.first().map(|e| e.len()).unwrap_or(0) + ); + + // Find most similar pair + let mut max_sim = 0.0; + let mut max_pair = (0, 0); + + for i in 0..batch_embeddings.len() { + for j in (i + 1)..batch_embeddings.len() { + let sim = cosine_similarity(&batch_embeddings[i], &batch_embeddings[j]); + if sim > max_sim { + max_sim = sim; + max_pair = (i, j); + } + } + } + + println!("Most similar pair (similarity: {:.4}):", max_sim); + println!(" [{}] \"{}\"", max_pair.0, documents[max_pair.0]); + println!(" [{}] \"{}\"\n", max_pair.1, documents[max_pair.1]); + + // Example 4: Available models + println!("--- Example 4: Available Models ---"); + println!("OpenAI embedding models:"); + println!(" - text-embedding-3-small (1536d) - Default, fastest, cheapest"); + println!(" - text-embedding-3-large (3072d) - Highest quality"); + println!(" - text-embedding-ada-002 (1536d) - Legacy model"); + println!(); + println!("To use a different model:"); + println!(" let config = OpenAIConfig::large();"); + println!(" let embedder = OpenAIEmbedder::new(config)?;"); + println!(); + + println!("=== Example Complete ==="); + println!("\nKey takeaways:"); + println!("✓ API embeddings require OPENAI_API_KEY environment variable"); + println!("✓ text-embedding-3-small is fast and cost-effective"); + println!("✓ Batch processing reduces API calls for multiple texts"); + println!("✓ Similar texts have higher cosine similarity scores"); + + Ok(()) +} + +#[cfg(not(feature = "api_embed"))] +fn main() { + eprintln!("This example requires the 'api_embed' feature."); + eprintln!("Run with: cargo run --example openai_embedding --features api_embed"); + std::process::exit(1); +} diff --git a/examples/pdf_ingestion.rs b/examples/pdf_ingestion.rs new file mode 100644 index 0000000..a0d56ca --- /dev/null +++ b/examples/pdf_ingestion.rs @@ -0,0 +1,150 @@ +//! PDF ingestion example demonstrating how to ingest and search PDF documents. +//! +//! This example demonstrates PDF text extraction, chunking, and semantic search. +//! +//! Run with: +//! ```bash +//! cargo run --example pdf_ingestion -- /path/to/pdf +//! ``` + +use std::env; +use std::path::PathBuf; +use tempfile::tempdir; + +use memvid_core::{Memvid, PutOptions, Result, SearchRequest}; + +fn main() -> Result<()> { + // Get PDF path from args + let args: Vec = env::args().collect(); + if args.len() < 2 { + eprintln!("Usage: cargo run --example pdf_ingestion -- /path/to/pdf"); + eprintln!("\nExample:"); + eprintln!(" cargo run --example pdf_ingestion -- examples/1706.03762v7.pdf"); + return Ok(()); + } + + let pdf_path = PathBuf::from(&args[1]); + + if !pdf_path.exists() { + eprintln!("ERROR: PDF file not found at {:?}", pdf_path); + eprintln!("Usage: cargo run --example pdf_ingestion -- /path/to/pdf"); + return Ok(()); + } + + // Create a temporary directory for our memory file + let dir = tempdir().expect("failed to create temp dir"); + let mv2_path: PathBuf = dir.path().join("paper.mv2"); + + println!("=== Memvid PDF Ingestion Example ===\n"); + + // ======================================== + // 1. CREATE a new memory file + // ======================================== + println!("1. Creating memory file..."); + let mut mem = Memvid::create(&mv2_path)?; + println!(" Memory created at {:?}\n", mv2_path); + + // ======================================== + // 2. INGEST the PDF file + // ======================================== + println!("2. Ingesting PDF: {:?}", pdf_path); + + // Read the PDF file + let pdf_bytes = std::fs::read(&pdf_path)?; + println!(" PDF size: {} bytes", pdf_bytes.len()); + + // Put the PDF with metadata + // Extract filename for title + let title = pdf_path + .file_stem() + .and_then(|s| s.to_str()) + .unwrap_or("PDF Document") + .to_string(); + + let options = PutOptions::builder() + .title(&title) + .uri(format!( + "mv2://pdfs/{}", + pdf_path.file_name().unwrap_or_default().to_string_lossy() + )) + .build(); + + let frame_id = mem.put_bytes_with_options(&pdf_bytes, options)?; + println!(" Ingested as frame: {}", frame_id); + + // Commit changes + mem.commit()?; + println!(" Committed successfully!\n"); + + // ======================================== + // 3. CHECK memory statistics + // ======================================== + println!("3. Memory statistics:"); + let stats = mem.stats()?; + println!(" Frame count: {}", stats.frame_count); + println!(" Has lexical index: {}", stats.has_lex_index); + println!(); + + // ======================================== + // 4. SEARCH the ingested PDF + // ======================================== + println!("4. Searching the paper...\n"); + + // Search for "attention" + let queries = [ + "attention mechanism", + "transformer architecture", + "self-attention", + "encoder decoder", + "positional encoding", + ]; + + for query in queries { + let request = SearchRequest { + query: query.to_string(), + top_k: 3, + snippet_chars: 150, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }; + + let response = mem.search(request)?; + println!(" Query: '{}'", query); + println!( + " Hits: {} ({}ms)", + response.total_hits, response.elapsed_ms + ); + + for (i, hit) in response.hits.iter().take(2).enumerate() { + let snippet = hit + .text + .chars() + .take(100) + .collect::() + .replace('\n', " "); + println!(" {}. {}...", i + 1, snippet); + } + println!(); + } + + // ======================================== + // 5. VERIFY file integrity + // ======================================== + println!("5. Verifying file integrity..."); + drop(mem); + let report = Memvid::verify(&mv2_path, false)?; + println!(" Status: {:?}", report.overall_status); + println!(); + + println!("=== PDF ingestion example completed! ==="); + + Ok(()) +} diff --git a/examples/simd_benchmark.rs b/examples/simd_benchmark.rs new file mode 100644 index 0000000..dd0026b --- /dev/null +++ b/examples/simd_benchmark.rs @@ -0,0 +1,101 @@ +//! Benchmark comparing SIMD vs Scalar L2 distance calculations. +//! +//! Run with: `cargo run --example simd_benchmark --features simd --release` + +use std::hint::black_box; +use std::time::Instant; + +fn main() { + let num_vectors = 10_000; + let dims = 384; // Standard embedding dimension + let num_iterations = 100; + + println!("SIMD vs Scalar L2 Distance Benchmark"); + println!("====================================="); + println!("Vectors: {}", num_vectors); + println!("Dimensions: {}", dims); + println!("Iterations: {}", num_iterations); + println!(); + + // Generate random vectors + let query: Vec = (0..dims).map(|i| (i as f32 * 0.001) % 1.0).collect(); + let vectors: Vec> = (0..num_vectors) + .map(|v| (0..dims).map(|i| ((v + i) as f32 * 0.0017) % 1.0).collect()) + .collect(); + + // Benchmark SIMD version + let simd_start = Instant::now(); + let mut simd_sum = 0.0f32; + for _ in 0..num_iterations { + for vec in &vectors { + simd_sum += black_box(l2_distance_simd(black_box(&query), black_box(vec))); + } + } + let simd_elapsed = simd_start.elapsed(); + black_box(simd_sum); + + // Benchmark Scalar version + let scalar_start = Instant::now(); + let mut scalar_sum = 0.0f32; + for _ in 0..num_iterations { + for vec in &vectors { + scalar_sum += black_box(l2_distance_scalar(black_box(&query), black_box(vec))); + } + } + let scalar_elapsed = scalar_start.elapsed(); + black_box(scalar_sum); + + // Results + let total_ops = num_vectors * num_iterations; + let simd_per_op_ns = simd_elapsed.as_nanos() as f64 / total_ops as f64; + let scalar_per_op_ns = scalar_elapsed.as_nanos() as f64 / total_ops as f64; + let speedup = scalar_elapsed.as_nanos() as f64 / simd_elapsed.as_nanos() as f64; + + println!("Results:"); + println!("--------"); + println!( + "SIMD: {:>8.2}ms total, {:>6.1}ns per distance", + simd_elapsed.as_secs_f64() * 1000.0, + simd_per_op_ns + ); + println!( + "Scalar: {:>8.2}ms total, {:>6.1}ns per distance", + scalar_elapsed.as_secs_f64() * 1000.0, + scalar_per_op_ns + ); + println!(); + println!("Speedup: {:.2}x", speedup); + + // Verify correctness + let simd_result = l2_distance_simd(&query, &vectors[0]); + let scalar_result = l2_distance_scalar(&query, &vectors[0]); + let diff = (simd_result - scalar_result).abs(); + println!(); + println!("Correctness check:"); + println!(" SIMD result: {:.8}", simd_result); + println!(" Scalar result: {:.8}", scalar_result); + println!(" Difference: {:.2e} (should be < 1e-5)", diff); + assert!(diff < 1e-4, "Results differ too much!"); + println!(" ✓ Results match!"); +} + +/// SIMD L2 distance using the wide crate +#[cfg(feature = "simd")] +fn l2_distance_simd(a: &[f32], b: &[f32]) -> f32 { + memvid_core::simd::l2_distance_simd(a, b) +} + +#[cfg(not(feature = "simd"))] +fn l2_distance_simd(a: &[f32], b: &[f32]) -> f32 { + l2_distance_scalar(a, b) +} + +/// Scalar L2 distance (the OLD implementation) +#[inline(never)] +fn l2_distance_scalar(a: &[f32], b: &[f32]) -> f32 { + a.iter() + .zip(b.iter()) + .map(|(x, y)| (x - y).powi(2)) + .sum::() + .sqrt() +} diff --git a/examples/test_implicit_or_bug.rs b/examples/test_implicit_or_bug.rs new file mode 100644 index 0000000..55b41e9 --- /dev/null +++ b/examples/test_implicit_or_bug.rs @@ -0,0 +1,132 @@ +//! Test to demonstrate the implicit OR bug in query parsing +//! +//! Run with: cargo run --example test_implicit_or_bug --features lex + +use memvid_core::{Memvid, PutOptions, SearchRequest}; + +fn main() -> memvid_core::Result<()> { + let test_file = "/tmp/test_implicit.mv2"; + + // Clean up old file if exists + let _ = std::fs::remove_file(test_file); + + println!("Creating test .mv2 file..."); + let mut mem = Memvid::create(test_file)?; + + // Add documents + println!("Adding test documents..."); + mem.put_bytes_with_options( + b"I love machine learning", + PutOptions::builder().title("Doc 1").build(), + )?; + mem.put_bytes_with_options( + b"I love Python programming", + PutOptions::builder().title("Doc 2").build(), + )?; + mem.put_bytes_with_options( + b"Machine learning with Python is awesome", + PutOptions::builder().title("Doc 3").build(), + )?; + mem.commit()?; + + println!(); + println!("=== TESTING IMPLICIT OPERATOR BEHAVIOR ==="); + println!("Query: 'machine python'"); + println!(); + println!("Expected behavior (AND): Should return 1 result"); + println!(" - Only Doc 3 has BOTH 'machine' AND 'python'"); + println!(); + println!("Current behavior (OR): Returns 3 results"); + println!(" - Any doc with 'machine' OR 'python'"); + println!(); + + // Search with implicit operator + let results = mem.search(SearchRequest { + query: "machine python".to_string(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + })?; + + println!("ACTUAL RESULTS: {} documents found", results.hits.len()); + println!(); + + for (i, hit) in results.hits.iter().enumerate() { + let title = hit + .title + .as_ref() + .unwrap_or(&"Untitled".to_string()) + .clone(); + let text_lower = hit.text.to_lowercase(); + let has_machine = text_lower.contains("machine"); + let has_python = text_lower.contains("python"); + let is_relevant = has_machine && has_python; + + let status = if is_relevant { + "✓ RELEVANT" + } else { + "✗ NOT RELEVANT" + }; + + println!( + " {}. {} [machine={}, python={}] {}", + i + 1, + title, + has_machine, + has_python, + status + ); + } + + println!(); + + // Calculate precision + let relevant_count = results + .hits + .iter() + .filter(|hit| { + let text = hit.text.to_lowercase(); + text.contains("machine") && text.contains("python") + }) + .count(); + + let precision = if results.hits.is_empty() { + 0.0 + } else { + (relevant_count as f64 / results.hits.len() as f64) * 100.0 + }; + + println!( + "PRECISION: {:.1}% ({}/{} results are relevant)", + precision, + relevant_count, + results.hits.len() + ); + println!(); + + // Verdict + if results.hits.len() == 1 && relevant_count == 1 { + println!("✓ CORRECT: Query uses implicit AND"); + println!(" Perfect precision - returns only relevant docs"); + } else if results.hits.len() > 1 { + println!("✗ BUG DETECTED: Query uses implicit OR"); + println!(" Low precision - returns docs with EITHER term"); + println!(); + } else { + println!("? NO RESULTS: Check if lex feature is enabled"); + } + + // Cleanup + std::fs::remove_file(test_file)?; + + Ok(()) +} diff --git a/examples/test_whisper.rs b/examples/test_whisper.rs new file mode 100644 index 0000000..b0ed744 --- /dev/null +++ b/examples/test_whisper.rs @@ -0,0 +1,81 @@ +//! Whisper transcription example demonstrating audio transcription. +//! +//! Run with: +//! ```bash +//! cargo run --example test_whisper --features whisper -- /path/to/audio +//! ``` + +#[cfg(feature = "whisper")] +use memvid_core::{WhisperConfig, WhisperTranscriber}; +#[cfg(feature = "whisper")] +use std::env; +#[cfg(feature = "whisper")] +use std::path::PathBuf; +#[cfg(feature = "whisper")] +use std::time::Instant; + +#[cfg(not(feature = "whisper"))] +fn main() { + eprintln!( + "This example requires the `whisper` feature.\n\ + Re-run with:\n\ + cargo run --example test_whisper --features whisper -- /path/to/audio" + ); +} + +#[cfg(feature = "whisper")] +fn main() { + // Get audio path from args + let args: Vec = env::args().collect(); + if args.len() < 2 { + eprintln!("Usage: cargo run --example test_whisper --features whisper -- /path/to/audio"); + eprintln!("\nExample:"); + eprintln!( + " cargo run --example test_whisper --features whisper -- examples/call_sale.mp3" + ); + return; + } + + let audio_path = PathBuf::from(&args[1]); + + if !audio_path.exists() { + eprintln!("ERROR: Audio file not found at {:?}", audio_path); + eprintln!("Usage: cargo run --example test_whisper --features whisper -- /path/to/audio"); + return; + } + + println!("=== Whisper Transcription Example ===\n"); + println!("Creating Whisper transcriber..."); + let start = Instant::now(); + let config = WhisperConfig::default(); + println!("Model dir: {:?}", config.models_dir); + println!("Model name: {}", config.model_name); + + let mut transcriber = WhisperTranscriber::new(&config).expect("Failed to create transcriber"); + println!("Transcriber created in {:?}", start.elapsed()); + + println!("\nTranscribing audio file: {}", audio_path.display()); + let start = Instant::now(); + + match transcriber.transcribe_file(&audio_path) { + Ok(result) => { + println!("Transcription completed in {:?}", start.elapsed()); + println!("\n=== Transcription Result ==="); + println!("Duration: {:.2} seconds", result.duration_secs); + println!("Language: {}", result.language); + println!("\nText:\n{}", result.text); + + if !result.segments.is_empty() { + println!("\n=== Segments ==="); + for seg in &result.segments { + println!("[{:.2}s - {:.2}s] {}", seg.start, seg.end, seg.text); + } + } + } + Err(e) => { + eprintln!("Transcription failed: {}", e); + } + } + + println!("\n=== Transcription example completed! ==="); +} diff --git a/examples/text_embed_cache_bench.rs b/examples/text_embed_cache_bench.rs new file mode 100644 index 0000000..e794cb1 --- /dev/null +++ b/examples/text_embed_cache_bench.rs @@ -0,0 +1,139 @@ +//! Benchmark demonstrating the performance benefit of embedding caching. +//! +//! This example compares performance with and without caching for repeated texts. +//! +//! ## Prerequisites +//! +//! Download the BGE-small model: +//! +//! ```bash +//! mkdir -p ~/.cache/memvid/text-models +//! curl -L 'https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/onnx/model.onnx' \ +//! -o ~/.cache/memvid/text-models/bge-small-en-v1.5.onnx +//! curl -L 'https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/tokenizer.json' \ +//! -o ~/.cache/memvid/text-models/bge-small-en-v1.5_tokenizer.json +//! ``` +//! +//! ## Run +//! +//! ```bash +//! cargo run --example text_embed_cache_bench --features vec --release +//! ``` + +use memvid_core::Result; +#[cfg(feature = "vec")] +use memvid_core::text_embed::{LocalTextEmbedder, TextEmbedConfig}; +use std::time::Instant; + +fn main() -> Result<()> { + println!("╔════════════════════════════════════════════════════════════╗"); + println!("║ Embedding Cache Benchmark ║"); + println!("╚════════════════════════════════════════════════════════════╝\n"); + + // Test texts with intentional repeats + let test_texts = vec![ + "machine learning", + "artificial intelligence", + "deep learning", + "neural networks", + "natural language processing", + "machine learning", // Repeat 1 + "artificial intelligence", // Repeat 2 + "computer vision", + "deep learning", // Repeat 3 + "machine learning", // Repeat 4 + ]; + + println!( + "Test data: {} texts ({} unique, {} repeats)\n", + test_texts.len(), + 7, // unique + 3 + ); // repeats + + // ---------- Test with Cache Enabled ---------- + println!("──────────────────────────────────────────────────────────"); + println!("Test 1: WITH Cache (enabled by default)"); + println!("──────────────────────────────────────────────────────────"); + + let config_cached = TextEmbedConfig::default(); + let embedder_cached = LocalTextEmbedder::new(config_cached)?; + + println!("Processing texts..."); + let start = Instant::now(); + for (i, text) in test_texts.iter().enumerate() { + let _ = embedder_cached.encode_text(text)?; + if i < test_texts.len() - 1 { + print!("."); + } + } + println!("!"); + let cached_time = start.elapsed(); + + if let Some(stats) = embedder_cached.cache_stats() { + println!("\n📊 Cache Statistics:"); + println!(" Hits: {}", stats.hits); + println!(" Misses: {}", stats.misses); + println!(" Size: {}/{}", stats.size, stats.capacity); + println!(" Hit Rate: {:.1}%", stats.hit_rate() * 100.0); + } + + println!("\n⏱️ Total Time: {:?}", cached_time); + + // ---------- Test with Cache Disabled ---------- + println!("\n──────────────────────────────────────────────────────────"); + println!("Test 2: WITHOUT Cache (force disabled)"); + println!("──────────────────────────────────────────────────────────"); + + let config_uncached = TextEmbedConfig { + enable_cache: false, + ..Default::default() + }; + let embedder_uncached = LocalTextEmbedder::new(config_uncached)?; + + println!("Processing texts..."); + let start = Instant::now(); + for (i, text) in test_texts.iter().enumerate() { + let _ = embedder_uncached.encode_text(text)?; + if i < test_texts.len() - 1 { + print!("."); + } + } + println!("!"); + let uncached_time = start.elapsed(); + + println!("\n⏱️ Total Time: {:?}", uncached_time); + + // ---------- Results ---------- + println!("\n╔════════════════════════════════════════════════════════════╗"); + println!("║ Results ║"); + println!("╚════════════════════════════════════════════════════════════╝\n"); + + let speedup = uncached_time.as_secs_f64() / cached_time.as_secs_f64(); + + println!("┌────────────────┬──────────────┬──────────────┐"); + println!("│ Configuration │ Time │ Speedup │"); + println!("├────────────────┼──────────────┼──────────────┤"); + println!( + "│ With Cache │ {:>10.3}s │ {:>9.2}x │", + cached_time.as_secs_f64(), + speedup + ); + println!( + "│ Without Cache │ {:>10.3}s │ baseline │", + uncached_time.as_secs_f64() + ); + println!("└────────────────┴──────────────┴──────────────┘\n"); + + if speedup > 1.0 { + println!("✅ Cache provides {:.1}% speedup!", (speedup - 1.0) * 100.0); + } else { + println!("⚠️ No speedup observed (may indicate all cache misses)"); + } + + println!("\n💡 Note: Speedup increases with more repeated texts."); + println!(" Real-world applications with 50-90% repeated queries"); + println!(" can see 2-10x improvements!\n"); + + Ok(()) +} diff --git a/examples/text_embedding.rs b/examples/text_embedding.rs new file mode 100644 index 0000000..a32824d --- /dev/null +++ b/examples/text_embedding.rs @@ -0,0 +1,178 @@ +//! Example demonstrating local text embedding usage. +//! +//! This example shows how to: +//! - Create a local text embedder with default configuration (BGE-small) +//! - Generate embeddings for sample texts +//! - Compute cosine similarity between embeddings +//! - Batch process multiple texts +//! - Use different models (BGE-base, Nomic, GTE-large) +//! +//! ## Prerequisites +//! +//! Before running this example, download the BGE-small model: +//! +//! ```bash +//! mkdir -p ~/.cache/memvid/text-models +//! curl -L 'https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/onnx/model.onnx' \ +//! -o ~/.cache/memvid/text-models/bge-small-en-v1.5.onnx +//! curl -L 'https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/tokenizer.json' \ +//! -o ~/.cache/memvid/text-models/bge-small-en-v1.5_tokenizer.json +//! ``` +//! +//! ## Run +//! +//! ```bash +//! cargo run --example text_embedding --features vec +//! ``` + +use memvid_core::Result; +#[cfg(feature = "vec")] +use memvid_core::text_embed::{LocalTextEmbedder, TextEmbedConfig}; +#[cfg(feature = "vec")] +use memvid_core::types::embedding::EmbeddingProvider; + +/// Compute cosine similarity between two vectors +fn cosine_similarity(a: &[f32], b: &[f32]) -> f32 { + assert_eq!(a.len(), b.len(), "Vectors must have same length"); + + let dot_product: f32 = a.iter().zip(b.iter()).map(|(x, y)| x * y).sum(); + let norm_a: f32 = a.iter().map(|x| x * x).sum::().sqrt(); + let norm_b: f32 = b.iter().map(|x| x * x).sum::().sqrt(); + + if norm_a > 0.0 && norm_b > 0.0 { + dot_product / (norm_a * norm_b) + } else { + 0.0 + } +} + +fn main() -> Result<()> { + println!("=== Local Text Embedding Example ===\n"); + + // Create embedder with default config (BGE-small, 384 dimensions) + println!("Creating local text embedder (BGE-small-en-v1.5)..."); + let config = TextEmbedConfig::default(); + let embedder = LocalTextEmbedder::new(config)?; + + println!("Model: {}", embedder.model()); + println!("Kind: {}", embedder.kind()); + println!("Dimensions: {}", embedder.dimension()); + println!("Ready: {}\n", embedder.is_ready()); + + // Example 1: Generate embeddings for sample texts + println!("--- Example 1: Single Text Embeddings ---"); + let text1 = "The quick brown fox jumps over the lazy dog"; + let text2 = "A fast auburn canine leaps above an idle hound"; + let text3 = "Python is a programming language"; + + println!("Generating embeddings..."); + let emb1 = embedder.embed_text(text1)?; + let emb2 = embedder.embed_text(text2)?; + let emb3 = embedder.embed_text(text3)?; + + println!("✓ Generated {} embeddings of dimension {}\n", 3, emb1.len()); + + // Example 2: Compute semantic similarity + println!("--- Example 2: Semantic Similarity ---"); + let sim_1_2 = cosine_similarity(&emb1, &emb2); + let sim_1_3 = cosine_similarity(&emb1, &emb3); + let sim_2_3 = cosine_similarity(&emb2, &emb3); + + println!("Text 1: \"{}\"", text1); + println!("Text 2: \"{}\"", text2); + println!("Text 3: \"{}\"", text3); + println!(); + println!("Similarity (1 ↔ 2): {:.4}", sim_1_2); + println!("Similarity (1 ↔ 3): {:.4}", sim_1_3); + println!("Similarity (2 ↔ 3): {:.4}", sim_2_3); + println!(); + + if sim_1_2 > sim_1_3 { + println!("✓ As expected, similar texts (1 & 2) have higher similarity!"); + } + println!(); + + // Example 3: Batch processing + println!("--- Example 3: Batch Processing ---"); + let documents = vec![ + "Artificial intelligence and machine learning", + "Deep neural networks for computer vision", + "Natural language processing with transformers", + "The history of ancient Rome", + "Cooking recipes for Italian cuisine", + ]; + + println!("Processing {} documents in batch...", documents.len()); + let batch_embeddings = embedder.embed_batch(&documents)?; + println!("✓ Generated {} embeddings\n", batch_embeddings.len()); + + // Find most similar pair + println!("Finding most similar document pair..."); + let mut max_sim = 0.0; + let mut max_pair = (0, 0); + + for i in 0..batch_embeddings.len() { + for j in (i + 1)..batch_embeddings.len() { + let sim = cosine_similarity(&batch_embeddings[i], &batch_embeddings[j]); + if sim > max_sim { + max_sim = sim; + max_pair = (i, j); + } + } + } + + println!("Most similar pair (similarity: {:.4}):", max_sim); + println!(" [{}] \"{}\"", max_pair.0, documents[max_pair.0]); + println!(" [{}] \"{}\"\n", max_pair.1, documents[max_pair.1]); + + // Example 4: Search query use case + println!("--- Example 4: Search Query ---"); + let query = "machine learning algorithms"; + let query_emb = embedder.embed_text(query)?; + + println!("Query: \"{}\"", query); + println!("\nRanked results:"); + + let mut scores: Vec<(usize, f32)> = batch_embeddings + .iter() + .enumerate() + .map(|(i, emb)| (i, cosine_similarity(&query_emb, emb))) + .collect(); + + scores.sort_by(|a, b| b.1.partial_cmp(&a.1).unwrap()); + + for (rank, (idx, score)) in scores.iter().take(3).enumerate() { + println!(" {}. [{:.4}] \"{}\"", rank + 1, score, documents[*idx]); + } + println!(); + + // Example 5: Model unloading (memory management) + println!("--- Example 5: Memory Management ---"); + println!("Model loaded: {}", embedder.is_loaded()); + embedder.unload()?; + println!("After unload: {}", embedder.is_loaded()); + println!("✓ Model can be lazily reloaded on next use\n"); + + // Example 6: Using different models (commented out - requires model download) + println!("--- Example 6: Different Models ---"); + println!("Available models:"); + println!(" - bge-small-en-v1.5 (384d) - Default, fast"); + println!(" - bge-base-en-v1.5 (768d) - Better quality"); + println!(" - nomic-embed-text-v1.5 (768d) - Versatile"); + println!(" - gte-large (1024d) - Highest quality"); + println!(); + println!("To use a different model:"); + println!(" let config = TextEmbedConfig::bge_base();"); + println!(" let embedder = LocalTextEmbedder::new(config)?;"); + println!(); + + println!("=== Example Complete ==="); + println!("\nKey takeaways:"); + println!("✓ Local embeddings run entirely offline (no API calls)"); + println!("✓ Models are lazy-loaded on first use"); + println!("✓ Embeddings are L2-normalized for cosine similarity"); + println!("✓ Batch processing is efficient for multiple texts"); + println!("✓ Similar texts have higher cosine similarity scores"); + + Ok(()) +} diff --git a/install/README.md b/install/README.md new file mode 100644 index 0000000..834abf7 --- /dev/null +++ b/install/README.md @@ -0,0 +1,125 @@ +# Memvid Installer + +Official installer for Memvid (v1). + +## What it does + +The installer automatically checks for and installs required dependencies, then installs Memvid globally: + +- **System dependencies** (Linux only): + - **ca-certificates** - SSL certificate bundle + - **curl** - Command-line tool for downloading files + - **openssl** or **libssl3** - SSL/TLS library +- **git** - Version control system +- **node** (LTS) - JavaScript runtime +- **npm** - Package manager (comes with node) +- **memvid** - Installed globally via `npm install -g memvid-cli@latest` + +The installer only installs missing tools (no upgrades in v1). If a tool is already installed, it will be detected and skipped. + +**Important notes:** +- On macOS, if Xcode Command Line Tools are missing, the installer will prompt you to install them and then exit. You'll need to complete the Xcode installation and run the installer again. +- The installer will show you what will be installed and ask for confirmation before proceeding. +- On Linux, Node.js LTS is installed via the NodeSource repository for Debian/Ubuntu and RHEL-based distributions to ensure you get the latest LTS version. + +## Prerequisites + +- **macOS**: + - Homebrew must be installed (the installer will check and exit if missing) + - Xcode Command Line Tools (installer will prompt to install if missing) +- **Linux**: + - `sudo` access (required for package installation, except Alpine which may use `su`) + - One of the supported package managers (apt, dnf, pacman, or apk) +- **Windows**: + - winget (Windows Package Manager) - comes with Windows 11, or install from https://aka.ms/getwinget + +## Supported Platforms + +- **macOS** - Uses Homebrew (requires Xcode Command Line Tools) +- **Linux** - Multiple distributions supported: + - **Debian/Ubuntu** - Uses apt (Node.js installed via NodeSource repository) + - **Fedora/RHEL/CentOS/Rocky/AlmaLinux** - Uses dnf (Node.js installed via NodeSource repository) + - **Arch/Manjaro** - Uses pacman + - **Alpine** - Uses apk +- **Windows** - Requires winget (Windows Package Manager) + +## Installation + +### macOS / Linux + +**Quick install** (recommended): +```bash +curl -fsSL https://raw.githubusercontent.com/memvid/memvid/main/install/install.sh | bash +``` + +**Download and run locally**: +```bash +curl -fsSL https://raw.githubusercontent.com/memvid/memvid/main/install/install.sh -o install.sh +chmod +x install.sh +./install.sh +``` + +**Non-interactive mode** (for CI/CD): +The installer can run without user interaction when piped via `curl | bash`. It will proceed automatically if no terminal is detected. + +### Windows + +Open PowerShell and run: + +```powershell +irm https://raw.githubusercontent.com/memvid/memvid/main/install/install.ps1 | iex +``` + +Or download and run: + +```powershell +.\install.ps1 +``` + +## Security + +These scripts are open source and readable. Before running, you can: + +1. Review the script contents on GitHub +2. Download and inspect locally +3. Run with appropriate permissions + +The installer will: +- Show what will be installed before proceeding +- Ask for confirmation before installing anything +- Use only system package managers (no third-party installers) +- Print clear status messages for each step + +## Verification + +After installation, verify it worked: + +```bash +memvid --version +``` + +## Troubleshooting + +If installation fails: + +1. **macOS**: + - Ensure Homebrew is installed: `/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"` + - If Xcode CLI Tools installation was prompted, complete it and run the installer again + - If `node` command is not found after installation, you may need to restart your terminal or source your shell config file + +2. **Linux**: + - Check that you have `sudo` access (or run as root on Alpine) + - Ensure your package manager is up to date (`sudo apt-get update`, `sudo dnf check-update`, etc.) + - If Node.js installation fails, check that curl and ca-certificates are installed + - Verify npm global bin directory is in your PATH: `npm config get prefix` + +3. **Windows**: + - Ensure winget is installed (comes with Windows 11, or install from https://aka.ms/getwinget) + - Run PowerShell as Administrator if needed + +4. **General**: + - Check that npm global bin directory is in your PATH: `npm list -g memvid-cli` + - Try running `memvid --version` to verify installation + - On Linux, you may need to use `sudo` for global npm installs + +For issues, please open an issue on GitHub. diff --git a/install/install.ps1 b/install/install.ps1 new file mode 100644 index 0000000..98586c9 --- /dev/null +++ b/install/install.ps1 @@ -0,0 +1,229 @@ +# Memvid Installer for Windows +# v1 - System package managers only, install-if-missing + +$ErrorActionPreference = "Stop" + +# Colors for output +function Write-Success { + Write-Host "✔ $args" -ForegroundColor Green +} + +function Write-Error { + Write-Host "✖ $args" -ForegroundColor Red +} + +function Write-Info { + Write-Host "→ $args" -ForegroundColor Cyan +} + +function Write-Warning { + Write-Host "⚠ $args" -ForegroundColor Yellow +} + +# Check if command exists +function Test-Command { + param([string]$Command) + $null -ne (Get-Command $Command -ErrorAction SilentlyContinue) +} + +# Check for winget +function Test-Winget { + if (Test-Command winget) { + $wingetVersion = (winget --version) + Write-Success "winget already installed (version $wingetVersion)" + return $true + } else { + Write-Error "winget not found" + Write-Info "winget is required for v1 installer" + Write-Info "Please install winget first:" + Write-Info " https://aka.ms/getwinget" + Write-Info "" + Write-Info "Or install git and node manually, then run:" + Write-Info " npm install -g memvid-cli@latest" + exit 1 + } +} + +# Check for git +function Test-Git { + if (Test-Command git) { + $gitVersion = (git --version) + Write-Success "git already installed ($gitVersion)" + return $true + } else { + Write-Error "git not found" + return $false + } +} + +# Check for node +function Test-Node { + if (Test-Command node) { + $nodeVersion = (node --version) + Write-Success "node already installed ($nodeVersion)" + + if (Test-Command npm) { + $npmVersion = (npm --version) + Write-Success "npm already installed (version $npmVersion)" + return $true + } else { + Write-Error "npm not found (should come with node)" + return $false + } + } else { + Write-Error "node not found" + return $false + } +} + +# Install git +function Install-Git { + Write-Info "Installing git using winget..." + + try { + winget install --id Git.Git -e --silent --accept-package-agreements --accept-source-agreements + # Refresh PATH + $env:Path = [System.Environment]::GetEnvironmentVariable("Path","Machine") + ";" + [System.Environment]::GetEnvironmentVariable("Path","User") + + if (Test-Command git) { + Write-Success "git installed successfully" + } else { + Write-Error "git installation completed but not found in PATH" + Write-Info "Please restart your terminal and run the installer again" + exit 1 + } + } catch { + Write-Error "git installation failed: $_" + exit 1 + } +} + +# Install node (LTS) +function Install-Node { + Write-Info "Installing node (LTS) using winget..." + + try { + winget install --id OpenJS.NodeJS.LTS -e --silent --accept-package-agreements --accept-source-agreements + # Refresh PATH + $env:Path = [System.Environment]::GetEnvironmentVariable("Path","Machine") + ";" + [System.Environment]::GetEnvironmentVariable("Path","User") + + if (Test-Command node) { + $nodeVersion = (node --version) + $npmVersion = (npm --version) + Write-Success "node installed successfully ($nodeVersion)" + Write-Success "npm installed successfully (version $npmVersion)" + } else { + Write-Error "node installation completed but not found in PATH" + Write-Info "Please restart your terminal and run the installer again" + exit 1 + } + } catch { + Write-Error "node installation failed: $_" + exit 1 + } +} + +# Check if memvid is already installed +function Test-Memvid { + if (Test-Command memvid) { + try { + $memvidVersion = memvid --version 2>$null + Write-Success "memvid already installed ($memvidVersion)" + return $true + } catch { + Write-Success "memvid already installed" + return $true + } + } else { + Write-Error "memvid not found" + return $false + } +} + +# Install missing tools +function Install-Missing { + $needsGit = -not (Test-Git) + $needsNode = -not (Test-Node) + $needsMemvid = -not (Test-Memvid) + + if (-not $needsGit -and -not $needsNode -and -not $needsMemvid) { + Write-Info "All dependencies are already installed" + return + } + + # Show what will be installed + Write-Host "" + Write-Warning "The following tools will be installed:" + if ($needsGit) { Write-Host " - git" } + if ($needsNode) { Write-Host " - node (LTS)" } + if ($needsMemvid) { Write-Host " - memvid-cli (latest)" } + Write-Host "" + + # Ask for confirmation + $response = Read-Host "Continue? [Y/n]" + if ($response -ne "" -and $response -notmatch "^[Yy]$") { + Write-Info "Installation cancelled" + exit 0 + } + + # Install missing tools + if ($needsGit) { Install-Git } + if ($needsNode) { Install-Node } + if ($needsMemvid) { Install-Memvid } +} + +# Install memvid +function Install-Memvid { + Write-Info "Installing memvid globally..." + + try { + npm install -g memvid-cli@latest + Write-Success "memvid installed successfully" + } catch { + Write-Error "memvid installation failed: $_" + exit 1 + } +} + +# Verify installation +function Verify-Installation { + Write-Info "Verifying installation..." + + if (Test-Command memvid) { + try { + $memvidVersion = memvid --version 2>$null + Write-Success "memvid is installed and accessible" + Write-Info "Version: $memvidVersion" + Write-Host "" + Write-Success "Installation complete! You can now use 'memvid' command." + } catch { + Write-Success "memvid is installed and accessible" + Write-Host "" + Write-Success "Installation complete! You can now use 'memvid' command." + } + } else { + Write-Error "memvid verification failed" + Write-Info "The installation may have completed, but 'memvid' command is not in PATH" + Write-Info "Please check your npm global bin directory and add it to PATH if needed" + Write-Info "Or try: npm list -g memvid-cli" + exit 1 + } +} + +# Main execution +function Main { + Write-Host "Memvid Installer" + Write-Host "Checking system requirements…" + Write-Host "" + + Test-Winget + Write-Host "" + + Install-Missing + Write-Host "" + + Verify-Installation +} + +# Run main function +Main diff --git a/install/install.sh b/install/install.sh new file mode 100755 index 0000000..ec2c21f --- /dev/null +++ b/install/install.sh @@ -0,0 +1,497 @@ +#!/bin/bash +# Memvid Installer for macOS and Linux +# v1 - System package managers only, install-if-missing + +set -e + +# Colors for output +GREEN='\033[0;32m' +RED='\033[0;31m' +YELLOW='\033[1;33m' +BLUE='\033[0;34m' +NC='\033[0m' # No Color + +# Print success message +print_success() { + echo -e "${GREEN}✔${NC} $1" +} + +# Print error message +print_error() { + echo -e "${RED}✖${NC} $1" +} + +# Print info message +print_info() { + echo -e "${BLUE}→${NC} $1" +} + +# Print warning message +print_warning() { + echo -e "${YELLOW}⚠${NC} $1" +} + +# Detect OS +detect_os() { + if [[ "$OSTYPE" == "darwin"* ]]; then + OS="macos" + PKG_MANAGER="brew" + + # Check if Homebrew is installed + if ! command_exists brew; then + print_error "Homebrew is not installed" + print_info "Please install Homebrew first:" + print_info " /bin/bash -c \"\$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)\"" + exit 1 + fi + elif [[ -f /etc/os-release ]]; then + . /etc/os-release + DISTRO_NAME="${PRETTY_NAME:-${NAME:-$ID}}" + + if [[ "$ID" == "ubuntu" ]] || [[ "$ID" == "debian" ]]; then + OS="linux" + PKG_MANAGER="apt" + DISTRO_FAMILY="debian" + elif [[ "$ID" == "fedora" ]] || [[ "$ID" == "rhel" ]] || [[ "$ID" == "centos" ]] || [[ "$ID" == "rocky" ]] || [[ "$ID" == "almalinux" ]]; then + OS="linux" + PKG_MANAGER="dnf" + DISTRO_FAMILY="rhel" + elif [[ "$ID" == "arch" ]] || [[ "$ID" == "manjaro" ]]; then + OS="linux" + PKG_MANAGER="pacman" + DISTRO_FAMILY="arch" + elif [[ "$ID" == "alpine" ]]; then + OS="linux" + PKG_MANAGER="apk" + DISTRO_FAMILY="alpine" + else + print_error "Unsupported Linux distribution: $ID" + print_info "Supported distributions: Ubuntu, Debian, Fedora, RHEL, CentOS, Arch, Alpine" + exit 1 + fi + + # Check if sudo is available (except for Alpine which might use su) + if ! command_exists sudo && [[ "$DISTRO_FAMILY" != "alpine" ]]; then + print_error "sudo is not available" + print_info "Please install sudo or run as root" + exit 1 + fi + else + print_error "Unable to detect operating system" + exit 1 + fi + + if [[ "$OS" == "linux" ]]; then + print_info "Detected OS: $OS ($DISTRO_NAME)" + else + print_info "Detected OS: $OS" + fi +} + +# Check if command exists +command_exists() { + command -v "$1" >/dev/null 2>&1 +} + +# Check for Xcode Command Line Tools on macOS +check_xcode_cli_tools() { + if [[ "$OS" != "macos" ]]; then + return 0 + fi + + # Check if Xcode CLI Tools are installed + if xcode-select -p &>/dev/null; then + print_success "Xcode Command Line Tools already installed" + return 0 + else + print_error "Xcode Command Line Tools not found" + print_warning "Xcode Command Line Tools are required for everything to work properly" + echo "" + + # Ask for confirmation + if [[ -t 0 ]] && [[ -t 1 ]]; then + read -p "Install Xcode Command Line Tools now? [Y/n] " -n 1 -r + echo + elif [[ -c /dev/tty ]]; then + read -p "Install Xcode Command Line Tools now? [Y/n] " -n 1 -r < /dev/tty + echo + else + REPLY="Y" + fi + + if [[ ! $REPLY =~ ^[Yy]$ ]] && [[ ! $REPLY == "" ]]; then + print_error "Xcode Command Line Tools are required for everything to work properly" + print_info "Please install them manually with: xcode-select --install" + exit 1 + fi + + print_info "Installing Xcode Command Line Tools..." + xcode-select --install + + print_info "Please complete the Xcode Command Line Tools installation in the popup window" + print_info "Then run this installer again" + exit 0 + fi +} + +# Install system dependencies for Linux +install_system_deps() { + if [[ "$OS" != "linux" ]]; then + return 0 + fi + + print_info "Checking system dependencies..." + + NEEDS_DEPS=false + DEPS_TO_INSTALL=() + + # Check and collect missing dependencies + if [[ "$DISTRO_FAMILY" == "debian" ]]; then + if ! dpkg -l | grep -q "^ii.*ca-certificates"; then + NEEDS_DEPS=true + DEPS_TO_INSTALL+=("ca-certificates") + fi + if ! command_exists curl; then + NEEDS_DEPS=true + DEPS_TO_INSTALL+=("curl") + fi + if ! dpkg -l | grep -q "^ii.*libssl3"; then + NEEDS_DEPS=true + DEPS_TO_INSTALL+=("libssl3") + fi + elif [[ "$DISTRO_FAMILY" == "rhel" ]]; then + if ! rpm -q ca-certificates &>/dev/null; then + NEEDS_DEPS=true + DEPS_TO_INSTALL+=("ca-certificates") + fi + if ! command_exists curl; then + NEEDS_DEPS=true + DEPS_TO_INSTALL+=("curl") + fi + if ! rpm -q openssl &>/dev/null; then + NEEDS_DEPS=true + DEPS_TO_INSTALL+=("openssl") + fi + elif [[ "$DISTRO_FAMILY" == "arch" ]]; then + if ! pacman -Q ca-certificates &>/dev/null; then + NEEDS_DEPS=true + DEPS_TO_INSTALL+=("ca-certificates") + fi + if ! command_exists curl; then + NEEDS_DEPS=true + DEPS_TO_INSTALL+=("curl") + fi + if ! pacman -Q openssl &>/dev/null; then + NEEDS_DEPS=true + DEPS_TO_INSTALL+=("openssl") + fi + elif [[ "$DISTRO_FAMILY" == "alpine" ]]; then + if ! apk info -e ca-certificates &>/dev/null; then + NEEDS_DEPS=true + DEPS_TO_INSTALL+=("ca-certificates") + fi + if ! command_exists curl; then + NEEDS_DEPS=true + DEPS_TO_INSTALL+=("curl") + fi + if ! apk info -e openssl &>/dev/null; then + NEEDS_DEPS=true + DEPS_TO_INSTALL+=("openssl") + fi + fi + + if [[ "$NEEDS_DEPS" == false ]]; then + print_success "All system dependencies are installed" + return 0 + fi + + print_info "Installing system dependencies: ${DEPS_TO_INSTALL[*]}..." + + if [[ "$DISTRO_FAMILY" == "debian" ]]; then + sudo apt-get update + sudo apt-get install -y --no-install-recommends "${DEPS_TO_INSTALL[@]}" + elif [[ "$DISTRO_FAMILY" == "rhel" ]]; then + sudo dnf install -y "${DEPS_TO_INSTALL[@]}" + elif [[ "$DISTRO_FAMILY" == "arch" ]]; then + sudo pacman -S --noconfirm "${DEPS_TO_INSTALL[@]}" + elif [[ "$DISTRO_FAMILY" == "alpine" ]]; then + if command_exists sudo; then + sudo apk add --no-cache "${DEPS_TO_INSTALL[@]}" + else + apk add --no-cache "${DEPS_TO_INSTALL[@]}" + fi + fi + + print_success "System dependencies installed successfully" +} + +# Check for git +check_git() { + if command_exists git; then + GIT_VERSION=$(git --version | cut -d' ' -f3) + print_success "git already installed (version $GIT_VERSION)" + return 0 + else + print_error "git not found" + return 1 + fi +} + +# Check for node +check_node() { + if command_exists node; then + NODE_VERSION=$(node --version) + print_success "node already installed ($NODE_VERSION)" + + # Check if it's LTS (rough check - version should be even major version) + MAJOR_VERSION=$(echo "$NODE_VERSION" | cut -d'v' -f2 | cut -d'.' -f1) + if [ "$((MAJOR_VERSION % 2))" -eq 0 ]; then + print_info "Node version appears to be LTS-compatible" + fi + + # Check for npm + if command_exists npm; then + NPM_VERSION=$(npm --version) + print_success "npm already installed (version $NPM_VERSION)" + return 0 + else + print_error "npm not found (should come with node)" + return 1 + fi + else + print_error "node not found" + return 1 + fi +} + +# Install git +install_git() { + print_info "Installing git using $PKG_MANAGER..." + + if [[ "$OS" == "macos" ]]; then + brew install git + elif [[ "$OS" == "linux" ]]; then + if [[ "$DISTRO_FAMILY" == "debian" ]]; then + sudo apt-get update + sudo apt-get install -y git + elif [[ "$DISTRO_FAMILY" == "rhel" ]]; then + sudo dnf install -y git + elif [[ "$DISTRO_FAMILY" == "arch" ]]; then + sudo pacman -S --noconfirm git + elif [[ "$DISTRO_FAMILY" == "alpine" ]]; then + if command_exists sudo; then + sudo apk add --no-cache git + else + apk add --no-cache git + fi + fi + fi + + if command_exists git; then + print_success "git installed successfully" + else + print_error "git installation failed" + exit 1 + fi +} + +# Install node (LTS) +install_node() { + print_info "Installing node (LTS) using $PKG_MANAGER..." + + if [[ "$OS" == "macos" ]]; then + brew install node@lts + # Add to PATH if needed + if ! command_exists node; then + print_info "Adding node to PATH..." + # Detect Homebrew prefix (Apple Silicon vs Intel) + if [[ -d "/opt/homebrew" ]]; then + BREW_PREFIX="/opt/homebrew" + else + BREW_PREFIX="/usr/local" + fi + + # Detect shell + if [[ "$SHELL" == *"zsh"* ]]; then + SHELL_RC="$HOME/.zshrc" + else + SHELL_RC="$HOME/.bash_profile" + fi + + echo "export PATH=\"$BREW_PREFIX/opt/node@lts/bin:\$PATH\"" >> "$SHELL_RC" + export PATH="$BREW_PREFIX/opt/node@lts/bin:$PATH" + fi + elif [[ "$OS" == "linux" ]]; then + if [[ "$DISTRO_FAMILY" == "debian" ]]; then + # Install Node.js LTS from NodeSource + curl -fsSL https://deb.nodesource.com/setup_lts.x | sudo -E bash - + sudo apt-get install -y --no-install-recommends nodejs + elif [[ "$DISTRO_FAMILY" == "rhel" ]]; then + # Install Node.js LTS from NodeSource + curl -fsSL https://rpm.nodesource.com/setup_lts.x | sudo -E bash - + sudo dnf install -y nodejs + elif [[ "$DISTRO_FAMILY" == "arch" ]]; then + sudo pacman -S --noconfirm nodejs npm + elif [[ "$DISTRO_FAMILY" == "alpine" ]]; then + if command_exists sudo; then + sudo apk add --no-cache nodejs npm + else + apk add --no-cache nodejs npm + fi + fi + fi + + if command_exists node && command_exists npm; then + NODE_VERSION=$(node --version) + NPM_VERSION=$(npm --version) + print_success "node installed successfully ($NODE_VERSION)" + print_success "npm installed successfully (version $NPM_VERSION)" + else + print_error "node installation failed" + exit 1 + fi +} + +# Check if memvid is already installed +check_memvid() { + if command_exists memvid; then + # Get version - output format is "memvid 2.0.131" + MEMVID_VERSION=$(memvid --version 2>&1 | awk '{print $2}') + print_success "memvid already installed ($MEMVID_VERSION)" + return 0 + else + print_error "memvid not found" + return 1 + fi +} + +# Install missing tools +install_missing() { + NEEDS_GIT=false + NEEDS_NODE=false + NEEDS_MEMVID=false + + if ! check_git; then + NEEDS_GIT=true + fi + + if ! check_node; then + NEEDS_NODE=true + fi + + if ! check_memvid; then + NEEDS_MEMVID=true + fi + + if [[ "$NEEDS_GIT" == false ]] && [[ "$NEEDS_NODE" == false ]] && [[ "$NEEDS_MEMVID" == false ]]; then + print_info "All dependencies are already installed" + return 0 + fi + + # Show what will be installed + echo "" + print_warning "The following tools will be installed:" + [[ "$NEEDS_GIT" == true ]] && echo " - git" + [[ "$NEEDS_NODE" == true ]] && echo " - node (LTS)" + [[ "$NEEDS_MEMVID" == true ]] && echo " - memvid-cli (latest)" + echo "" + + # Ask for confirmation + # Read from /dev/tty to ensure it works when piped via curl | bash + if [[ -t 0 ]] && [[ -t 1 ]]; then + # Interactive terminal - read normally + read -p "Continue? [Y/n] " -n 1 -r + echo + elif [[ -c /dev/tty ]]; then + # Piped input - read from terminal device + read -p "Continue? [Y/n] " -n 1 -r < /dev/tty + echo + else + # No terminal available - proceed automatically (non-interactive mode) + print_info "No terminal detected, proceeding with installation..." + REPLY="Y" + fi + if [[ ! $REPLY =~ ^[Yy]$ ]] && [[ ! $REPLY == "" ]]; then + print_info "Installation cancelled" + exit 0 + fi + + # Install missing tools + [[ "$NEEDS_GIT" == true ]] && install_git + [[ "$NEEDS_NODE" == true ]] && install_node + [[ "$NEEDS_MEMVID" == true ]] && install_memvid +} + +# Install memvid +install_memvid() { + print_info "Installing memvid globally..." + + if [[ "$OS" == "linux" ]]; then + # Linux requires sudo for global npm installs + if sudo npm install -g memvid-cli@latest; then + print_success "memvid installed successfully" + else + print_error "memvid installation failed" + exit 1 + fi + else + # macOS typically doesn't need sudo if npm was installed via Homebrew + if npm install -g memvid-cli@latest; then + print_success "memvid installed successfully" + else + print_error "memvid installation failed" + exit 1 + fi + fi +} + +# Verify installation +verify() { + print_info "Verifying installation..." + + if command_exists memvid; then + # Get version - output format is "memvid 2.0.131" + MEMVID_VERSION=$(memvid --version 2>&1 | awk '{print $2}') + + print_success "memvid is installed and accessible" + print_info "Version: $MEMVID_VERSION" + echo "" + print_success "Installation complete! You can now use 'memvid' command." + else + print_error "memvid verification failed" + print_info "The installation may have completed, but 'memvid' command is not in PATH" + print_info "Please check your npm global bin directory and add it to PATH if needed" + print_info "Or try: npm list -g memvid-cli" + exit 1 + fi +} + +# Main execution +main() { + echo "Memvid Installer" + echo "Checking system requirements…" + echo "" + + detect_os + echo "" + + # Check Xcode CLI Tools on macOS + if [[ "$OS" == "macos" ]]; then + check_xcode_cli_tools + echo "" + fi + + # Install system dependencies on Linux + if [[ "$OS" == "linux" ]]; then + install_system_deps + echo "" + fi + + install_missing + echo "" + + verify +} + +# Run main function +main diff --git a/rust-toolchain.toml b/rust-toolchain.toml new file mode 100644 index 0000000..fb109b7 --- /dev/null +++ b/rust-toolchain.toml @@ -0,0 +1,3 @@ +[toolchain] +channel = "1.90.0" +targets = ["aarch64-apple-darwin", "x86_64-apple-darwin", "x86_64-unknown-linux-gnu", "x86_64-pc-windows-msvc"] diff --git a/src/analysis/auto_tag.rs b/src/analysis/auto_tag.rs new file mode 100644 index 0000000..dc69747 --- /dev/null +++ b/src/analysis/auto_tag.rs @@ -0,0 +1,249 @@ +// Safe expect/unwrap: Regex patterns are compile-time literals; JSON ops on known schemas. +#![allow(clippy::unwrap_used, clippy::expect_used)] +use std::collections::{BTreeMap, BTreeSet}; + +use regex::Regex; + +#[derive(Debug, Clone, Default)] +pub struct AutoTagResult { + pub tags: Vec, + pub labels: Vec, + pub content_dates: Vec, +} + +#[derive(Debug, Default)] +pub struct AutoTagger; + +impl AutoTagger { + const MAX_TAGS: usize = 12; + const MAX_LABELS: usize = 6; + + pub fn analyse(&self, text: &str, include_dates: bool) -> AutoTagResult { + if text.trim().is_empty() { + return AutoTagResult::default(); + } + + let tags = extract_keywords(text, Self::MAX_TAGS); + let labels = derive_labels(text, Self::MAX_LABELS); + let content_dates = if include_dates { + extract_dates(text) + } else { + Vec::new() + }; + + AutoTagResult { + tags, + labels, + content_dates, + } + } +} + +fn extract_keywords(text: &str, limit: usize) -> Vec { + static TOKEN_RE: std::sync::LazyLock = + std::sync::LazyLock::new(|| Regex::new(r"(?i)[a-z0-9][a-z0-9'-]+").unwrap()); + static STOPWORDS: std::sync::LazyLock> = + std::sync::LazyLock::new(|| { + [ + "the", + "and", + "for", + "with", + "that", + "from", + "this", + "were", + "have", + "has", + "will", + "shall", + "into", + "about", + "without", + "within", + "between", + "because", + "over", + "under", + "after", + "before", + "until", + "while", + "their", + "there", + "these", + "those", + "your", + "into", + "such", + "been", + "where", + "when", + "which", + "using", + "also", + "than", + "could", + "would", + "should", + "might", + "cannot", + "however", + "therefore", + "thereof", + "hereby", + "herein", + "hereof", + "based", + "system", + "application", + "service", + "provide", + "provided", + "including", + "include", + "includes", + "version", + "update", + "updates", + "usage", + ] + .into_iter() + .collect() + }); + + let mut counts: BTreeMap = BTreeMap::new(); + for token in TOKEN_RE.find_iter(text) { + let candidate = token.as_str().to_lowercase(); + if candidate.len() < 3 { + continue; + } + if STOPWORDS.contains(candidate.as_str()) { + continue; + } + *counts.entry(candidate).or_insert(0) += 1; + } + + let mut scored: Vec<(String, u32)> = counts.into_iter().collect(); + scored.sort_by(|a, b| b.1.cmp(&a.1).then_with(|| a.0.cmp(&b.0))); + scored + .into_iter() + .take(limit) + .map(|(token, _)| token) + .collect() +} + +fn derive_labels(text: &str, limit: usize) -> Vec { + static PHRASE_RE: std::sync::LazyLock = std::sync::LazyLock::new(|| { + Regex::new(r"(?m)^(?P[A-Z][A-Za-z0-9 &/-]{3,})$").unwrap() + }); + + let mut labels = BTreeSet::new(); + for caps in PHRASE_RE.captures_iter(text) { + if let Some(phrase) = caps.name("phrase") { + let candidate = phrase.as_str().trim(); + if candidate.split_whitespace().count() <= 6 { + labels.insert(candidate.to_string()); + } + } + } + + if labels.is_empty() { + // fallback: promote top keywords by capitalising them + let keywords = extract_keywords(text, limit); + for kw in keywords { + let mut chars = kw.chars(); + if let Some(first) = chars.next() { + let mut label = first.to_uppercase().collect::(); + label.push_str(chars.as_str()); + labels.insert(label); + } + } + } + + labels.into_iter().take(limit).collect() +} + +fn extract_dates(text: &str) -> Vec { + // Match various date formats: + // 1. Years: 2024, 2025, etc. + // 2. ISO dates: 2024-09-01 + // 3. US format: 09/01/2024 + // 4. Spelled out: September 1, 2024 or Sept 1, 2024 or 1 September 2024 + static DATE_RE: std::sync::LazyLock = std::sync::LazyLock::new(|| { + Regex::new(r"(?i)\b((?:19|20)\d{2}|\d{4}-\d{2}-\d{2}|\d{2}/\d{2}/\d{4})\b").unwrap() + }); + + // Match spelled-out dates like "September 1, 2024", "Sept 10, 2024", "September 1st, 2024" + static SPELLED_DATE_RE: std::sync::LazyLock = std::sync::LazyLock::new(|| { + Regex::new( + r"(?i)\b((?:January|February|March|April|May|June|July|August|September|October|November|December|Jan|Feb|Mar|Apr|Jun|Jul|Aug|Sep|Sept|Oct|Nov|Dec)\.?\s+\d{1,2}(?:st|nd|rd|th)?,?\s+(?:19|20)\d{2})\b" + ).unwrap() + }); + + // Match European format: "1 September 2024", "1st September 2024" + static EURO_DATE_RE: std::sync::LazyLock = std::sync::LazyLock::new(|| { + Regex::new( + r"(?i)\b(\d{1,2}(?:st|nd|rd|th)?\s+(?:January|February|March|April|May|June|July|August|September|October|November|December|Jan|Feb|Mar|Apr|Jun|Jul|Aug|Sep|Sept|Oct|Nov|Dec)\.?\s+(?:19|20)\d{2})\b" + ).unwrap() + }); + + let mut dates = BTreeSet::new(); + + // Extract numeric dates and years + for capture in DATE_RE.captures_iter(text) { + if let Some(m) = capture.get(0) { + dates.insert(m.as_str().to_string()); + } + } + + // Extract spelled-out dates (US format) + for capture in SPELLED_DATE_RE.captures_iter(text) { + if let Some(m) = capture.get(1) { + dates.insert(m.as_str().to_string()); + } + } + + // Extract European format dates + for capture in EURO_DATE_RE.captures_iter(text) { + if let Some(m) = capture.get(1) { + dates.insert(m.as_str().to_string()); + } + } + + dates.into_iter().collect() +} + +#[cfg(test)] +mod tests { + use super::{AutoTagger, extract_dates}; + + #[test] + fn produces_keywords_and_labels() { + let text = "Rust memory engines power efficient systems. Memory safety ensures reliability in 2025."; + let result = AutoTagger.analyse(text, true); + assert!(result.tags.iter().any(|tag| tag.contains("memory"))); + assert!(!result.content_dates.is_empty()); + } + + #[test] + fn detects_dates() { + let dates = extract_dates("Meeting on 2025-10-08 and follow-up 10/15/2025"); + assert_eq!(dates.len(), 2); + } + + #[test] + fn detects_spelled_out_dates() { + let dates = extract_dates( + "The update on September 1, 2024 changed the phone number. Previous records from January 15, 2023.", + ); + assert!(dates.iter().any(|d| d.contains("September"))); + assert!(dates.iter().any(|d| d.contains("January"))); + } + + #[test] + fn detects_european_dates() { + let dates = extract_dates("Meeting on 1 September 2024 was productive."); + assert!(dates.iter().any(|d| d.contains("September"))); + } +} diff --git a/src/analysis/mod.rs b/src/analysis/mod.rs new file mode 100644 index 0000000..f398f13 --- /dev/null +++ b/src/analysis/mod.rs @@ -0,0 +1,6 @@ +pub mod auto_tag; +pub mod ner; +#[cfg(feature = "temporal_track")] +pub mod temporal; +#[cfg(feature = "temporal_enrich")] +pub mod temporal_enrich; diff --git a/src/analysis/ner.rs b/src/analysis/ner.rs new file mode 100644 index 0000000..8cc9bcf --- /dev/null +++ b/src/analysis/ner.rs @@ -0,0 +1,649 @@ +// Safe expect: Static NER model lookup with guaranteed default. +#![allow(clippy::expect_used)] +//! Named Entity Recognition (NER) module using DistilBERT-NER ONNX. +//! +//! This module provides entity extraction capabilities using DistilBERT-NER, +//! a fast and accurate NER model fine-tuned on CoNLL-03. +//! +//! # Model +//! +//! Uses dslim/distilbert-NER ONNX (~261 MB) with 92% F1 score. +//! Entities: Person (PER), Organization (ORG), Location (LOC), Miscellaneous (MISC) +//! +//! # Simple Interface +//! +//! Unlike `GLiNER`, DistilBERT-NER uses standard BERT tokenization: +//! - Input: `input_ids`, `attention_mask` +//! - Output: per-token logits for B-PER, I-PER, B-ORG, I-ORG, B-LOC, I-LOC, B-MISC, I-MISC, O + +use crate::types::{EntityKind, FrameId}; +use crate::{MemvidError, Result}; +use std::path::{Path, PathBuf}; + +// ============================================================================ +// Configuration Constants +// ============================================================================ + +/// Model name for downloads and caching +pub const NER_MODEL_NAME: &str = "distilbert-ner"; + +/// Model download URL (`HuggingFace`) +pub const NER_MODEL_URL: &str = + "https://huggingface.co/dslim/distilbert-NER/resolve/main/onnx/model.onnx"; + +/// Tokenizer URL +pub const NER_TOKENIZER_URL: &str = + "https://huggingface.co/dslim/distilbert-NER/resolve/main/tokenizer.json"; + +/// Approximate model size in MB +pub const NER_MODEL_SIZE_MB: f32 = 261.0; + +/// Maximum sequence length for the model +pub const NER_MAX_SEQ_LEN: usize = 512; + +/// Minimum confidence threshold for entity extraction +#[cfg_attr(not(feature = "logic_mesh"), allow(dead_code))] +pub const NER_MIN_CONFIDENCE: f32 = 0.5; + +/// NER label mapping (CoNLL-03 format) +/// O=0, B-PER=1, I-PER=2, B-ORG=3, I-ORG=4, B-LOC=5, I-LOC=6, B-MISC=7, I-MISC=8 +#[cfg_attr(not(feature = "logic_mesh"), allow(dead_code))] +pub const NER_LABELS: &[&str] = &[ + "O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC", "B-MISC", "I-MISC", +]; + +// ============================================================================ +// Model Info +// ============================================================================ + +/// NER model info for the models registry +#[derive(Debug, Clone)] +pub struct NerModelInfo { + /// Model identifier + pub name: &'static str, + /// URL for ONNX model + pub model_url: &'static str, + /// URL for tokenizer JSON + pub tokenizer_url: &'static str, + /// Model size in MB + pub size_mb: f32, + /// Maximum sequence length + pub max_seq_len: usize, + /// Whether this is the default model + pub is_default: bool, +} + +/// Available NER models registry +pub static NER_MODELS: &[NerModelInfo] = &[NerModelInfo { + name: NER_MODEL_NAME, + model_url: NER_MODEL_URL, + tokenizer_url: NER_TOKENIZER_URL, + size_mb: NER_MODEL_SIZE_MB, + max_seq_len: NER_MAX_SEQ_LEN, + is_default: true, +}]; + +/// Get NER model info by name +#[must_use] +pub fn get_ner_model_info(name: &str) -> Option<&'static NerModelInfo> { + NER_MODELS.iter().find(|m| m.name == name) +} + +/// Get default NER model info +#[must_use] +pub fn default_ner_model_info() -> &'static NerModelInfo { + NER_MODELS + .iter() + .find(|m| m.is_default) + .expect("default NER model must exist") +} + +// ============================================================================ +// Entity Extraction Types +// ============================================================================ + +/// Raw entity mention extracted from text +#[derive(Debug, Clone)] +pub struct ExtractedEntity { + /// The extracted text span + pub text: String, + /// Entity type (PER, ORG, LOC, MISC) + pub entity_type: String, + /// Confidence score (0.0-1.0) + pub confidence: f32, + /// Byte offset start in original text + pub byte_start: usize, + /// Byte offset end in original text + pub byte_end: usize, +} + +impl ExtractedEntity { + /// Convert the raw entity type to our `EntityKind` enum + #[must_use] + pub fn to_entity_kind(&self) -> EntityKind { + match self.entity_type.to_uppercase().as_str() { + "PER" | "PERSON" | "B-PER" | "I-PER" => EntityKind::Person, + "ORG" | "ORGANIZATION" | "B-ORG" | "I-ORG" => EntityKind::Organization, + "LOC" | "LOCATION" | "B-LOC" | "I-LOC" => EntityKind::Location, + "MISC" | "B-MISC" | "I-MISC" => EntityKind::Other, + _ => EntityKind::Other, + } + } +} + +/// Result of extracting entities from a frame +#[derive(Debug, Clone)] +pub struct FrameEntities { + /// Frame ID the entities were extracted from + pub frame_id: FrameId, + /// Extracted entities + pub entities: Vec, +} + +// ============================================================================ +// NER Model (Feature-gated) +// ============================================================================ + +#[cfg(feature = "logic_mesh")] +pub use model_impl::*; + +#[cfg(feature = "logic_mesh")] +mod model_impl { + use super::*; + use ort::session::{Session, builder::GraphOptimizationLevel}; + use ort::value::Tensor; + use std::sync::Mutex; + use tokenizers::{ + PaddingDirection, PaddingParams, PaddingStrategy, Tokenizer, TruncationDirection, + TruncationParams, TruncationStrategy, + }; + + /// DistilBERT-NER model for entity extraction + pub struct NerModel { + /// ONNX runtime session + session: Session, + /// Tokenizer for text preprocessing + tokenizer: Mutex, + /// Model path for reference + model_path: PathBuf, + /// Minimum confidence threshold + min_confidence: f32, + } + + impl NerModel { + /// Load NER model from path + /// + /// # Arguments + /// * `model_path` - Path to the ONNX model file + /// * `tokenizer_path` - Path to the tokenizer.json file + /// * `min_confidence` - Minimum confidence threshold (default: 0.5) + pub fn load( + model_path: impl AsRef, + tokenizer_path: impl AsRef, + min_confidence: Option, + ) -> Result { + let model_path = model_path.as_ref().to_path_buf(); + let tokenizer_path = tokenizer_path.as_ref(); + + // Load tokenizer + let mut tokenizer = Tokenizer::from_file(tokenizer_path).map_err(|e| { + MemvidError::NerModelNotAvailable { + reason: format!("failed to load tokenizer from {:?}: {}", tokenizer_path, e) + .into(), + } + })?; + + // Configure padding and truncation + tokenizer.with_padding(Some(PaddingParams { + strategy: PaddingStrategy::BatchLongest, + direction: PaddingDirection::Right, + pad_to_multiple_of: None, + pad_id: 0, + pad_type_id: 0, + pad_token: "[PAD]".to_string(), + })); + + tokenizer + .with_truncation(Some(TruncationParams { + max_length: NER_MAX_SEQ_LEN, + strategy: TruncationStrategy::LongestFirst, + stride: 0, + direction: TruncationDirection::Right, + })) + .map_err(|e| MemvidError::NerModelNotAvailable { + reason: format!("failed to set truncation: {}", e).into(), + })?; + + // Initialize ONNX Runtime + let session = Session::builder() + .map_err(|e| MemvidError::NerModelNotAvailable { + reason: format!("failed to create session builder: {}", e).into(), + })? + .with_optimization_level(GraphOptimizationLevel::Level3) + .map_err(|e| MemvidError::NerModelNotAvailable { + reason: format!("failed to set optimization level: {}", e).into(), + })? + .with_intra_threads(4) + .map_err(|e| MemvidError::NerModelNotAvailable { + reason: format!("failed to set threads: {}", e).into(), + })? + .commit_from_file(&model_path) + .map_err(|e| MemvidError::NerModelNotAvailable { + reason: format!("failed to load model from {:?}: {}", model_path, e).into(), + })?; + + tracing::info!( + model = %model_path.display(), + "DistilBERT-NER model loaded" + ); + + Ok(Self { + session, + tokenizer: Mutex::new(tokenizer), + model_path, + min_confidence: min_confidence.unwrap_or(NER_MIN_CONFIDENCE), + }) + } + + /// Extract entities from text + pub fn extract(&mut self, text: &str) -> Result> { + if text.trim().is_empty() { + return Ok(Vec::new()); + } + + // Tokenize + let tokenizer = self + .tokenizer + .lock() + .map_err(|_| MemvidError::Lock("failed to lock tokenizer".into()))?; + + let encoding = + tokenizer + .encode(text, true) + .map_err(|e| MemvidError::NerModelNotAvailable { + reason: format!("tokenization failed: {}", e).into(), + })?; + + let input_ids: Vec = encoding.get_ids().iter().map(|&x| x as i64).collect(); + let attention_mask: Vec = encoding + .get_attention_mask() + .iter() + .map(|&x| x as i64) + .collect(); + let tokens = encoding.get_tokens().to_vec(); + let offsets = encoding.get_offsets().to_vec(); + + drop(tokenizer); // Release lock before inference + + let seq_len = input_ids.len(); + + // Create input tensors using Tensor::from_array + let input_ids_array = ndarray::Array2::from_shape_vec((1, seq_len), input_ids) + .map_err(|e| MemvidError::NerModelNotAvailable { + reason: format!("failed to create input_ids array: {}", e).into(), + })?; + + let attention_mask_array = + ndarray::Array2::from_shape_vec((1, seq_len), attention_mask).map_err(|e| { + MemvidError::NerModelNotAvailable { + reason: format!("failed to create attention_mask array: {}", e).into(), + } + })?; + + let input_ids_tensor = Tensor::from_array(input_ids_array).map_err(|e| { + MemvidError::NerModelNotAvailable { + reason: format!("failed to create input_ids tensor: {}", e).into(), + } + })?; + + let attention_mask_tensor = Tensor::from_array(attention_mask_array).map_err(|e| { + MemvidError::NerModelNotAvailable { + reason: format!("failed to create attention_mask tensor: {}", e).into(), + } + })?; + + // Get output name before inference (avoid borrow conflict) + let output_name = self + .session + .outputs + .first() + .map(|o| o.name.clone()) + .unwrap_or_else(|| "logits".into()); + + // Run inference + let outputs = self + .session + .run(ort::inputs![ + "input_ids" => input_ids_tensor, + "attention_mask" => attention_mask_tensor, + ]) + .map_err(|e| MemvidError::NerModelNotAvailable { + reason: format!("inference failed: {}", e).into(), + })?; + + let logits = + outputs + .get(&output_name) + .ok_or_else(|| MemvidError::NerModelNotAvailable { + reason: format!("no output '{}' found", output_name).into(), + })?; + + // Parse logits to get predictions + let entities = Self::decode_predictions_static( + text, + &tokens, + &offsets, + logits, + self.min_confidence, + )?; + + Ok(entities) + } + + /// Decode model predictions into entities (static to avoid borrow issues) + fn decode_predictions_static( + original_text: &str, + tokens: &[String], + offsets: &[(usize, usize)], + logits: &ort::value::Value, + min_confidence: f32, + ) -> Result> { + // Extract the logits tensor - shape: [1, seq_len, num_labels] + let (shape, data) = logits.try_extract_tensor::().map_err(|e| { + MemvidError::NerModelNotAvailable { + reason: format!("failed to extract logits: {}", e).into(), + } + })?; + + // Shape is iterable, convert to Vec + let shape_vec: Vec = shape.iter().copied().collect(); + + if shape_vec.len() != 3 { + return Err(MemvidError::NerModelNotAvailable { + reason: format!("unexpected logits shape: {:?}", shape_vec).into(), + }); + } + + let seq_len = shape_vec[1] as usize; + let num_labels = shape_vec[2] as usize; + + // Helper to index into flat data: [batch, seq, labels] -> flat index + let idx = |i: usize, j: usize| -> usize { i * num_labels + j }; + + let mut entities = Vec::new(); + let mut current_entity: Option<(String, usize, usize, f32)> = None; + + for i in 0..seq_len { + if i >= tokens.len() || i >= offsets.len() { + break; + } + + // Skip special tokens + let token = &tokens[i]; + if token == "[CLS]" || token == "[SEP]" || token == "[PAD]" { + // Finalize any current entity + if let Some((entity_type, start, end, conf)) = current_entity.take() { + if end > start && end <= original_text.len() { + let text = original_text[start..end].trim().to_string(); + if !text.is_empty() { + entities.push(ExtractedEntity { + text, + entity_type, + confidence: conf, + byte_start: start, + byte_end: end, + }); + } + } + } + continue; + } + + // Get prediction for this token + let mut max_score = f32::NEG_INFINITY; + let mut max_label = 0usize; + + for j in 0..num_labels { + let score = data[idx(i, j)]; + if score > max_score { + max_score = score; + max_label = j; + } + } + + // Apply softmax to get confidence + let mut exp_sum = 0.0f32; + for j in 0..num_labels { + exp_sum += (data[idx(i, j)] - max_score).exp(); + } + let confidence = 1.0 / exp_sum; + + let label = NER_LABELS.get(max_label).unwrap_or(&"O"); + let (start_offset, end_offset) = offsets[i]; + + if *label == "O" || confidence < min_confidence { + // End any current entity + if let Some((entity_type, start, end, conf)) = current_entity.take() { + if end > start && end <= original_text.len() { + let text = original_text[start..end].trim().to_string(); + if !text.is_empty() { + entities.push(ExtractedEntity { + text, + entity_type, + confidence: conf, + byte_start: start, + byte_end: end, + }); + } + } + } + } else if label.starts_with("B-") { + // Start new entity (end previous if any) + if let Some((entity_type, start, end, conf)) = current_entity.take() { + if end > start && end <= original_text.len() { + let text = original_text[start..end].trim().to_string(); + if !text.is_empty() { + entities.push(ExtractedEntity { + text, + entity_type, + confidence: conf, + byte_start: start, + byte_end: end, + }); + } + } + } + let entity_type = label[2..].to_string(); // Remove "B-" prefix + current_entity = Some((entity_type, start_offset, end_offset, confidence)); + } else if label.starts_with("I-") { + // Continue entity + if let Some((ref entity_type, start, _, ref mut conf)) = current_entity { + let expected_type = &label[2..]; + if entity_type == expected_type { + current_entity = Some(( + entity_type.clone(), + start, + end_offset, + (*conf + confidence) / 2.0, + )); + } + } + } + } + + // Finalize last entity + if let Some((entity_type, start, end, conf)) = current_entity { + if end > start && end <= original_text.len() { + let text = original_text[start..end].trim().to_string(); + if !text.is_empty() { + entities.push(ExtractedEntity { + text, + entity_type, + confidence: conf, + byte_start: start, + byte_end: end, + }); + } + } + } + + Ok(entities) + } + + /// Extract entities from a frame's content + pub fn extract_from_frame( + &mut self, + frame_id: FrameId, + content: &str, + ) -> Result { + let entities = self.extract(content)?; + Ok(FrameEntities { frame_id, entities }) + } + + /// Get minimum confidence threshold + pub fn min_confidence(&self) -> f32 { + self.min_confidence + } + + /// Get model path + pub fn model_path(&self) -> &Path { + &self.model_path + } + } + + impl std::fmt::Debug for NerModel { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + f.debug_struct("NerModel") + .field("model_path", &self.model_path) + .field("min_confidence", &self.min_confidence) + .finish() + } + } +} + +// ============================================================================ +// Stub Implementation (when feature is disabled) +// ============================================================================ + +#[cfg(not(feature = "logic_mesh"))] +#[allow(dead_code)] +pub struct NerModel { + _private: (), +} + +#[cfg(not(feature = "logic_mesh"))] +#[allow(dead_code)] +impl NerModel { + pub fn load( + _model_path: impl AsRef, + _tokenizer_path: impl AsRef, + _min_confidence: Option, + ) -> Result { + Err(MemvidError::FeatureUnavailable { + feature: "logic_mesh", + }) + } + + pub fn extract(&self, _text: &str) -> Result> { + Err(MemvidError::FeatureUnavailable { + feature: "logic_mesh", + }) + } + + pub fn extract_from_frame(&self, _frame_id: FrameId, _content: &str) -> Result { + Err(MemvidError::FeatureUnavailable { + feature: "logic_mesh", + }) + } +} + +// ============================================================================ +// Model Path Utilities +// ============================================================================ + +/// Get the expected path for the NER model in the models directory +#[must_use] +pub fn ner_model_path(models_dir: &Path) -> PathBuf { + models_dir.join(NER_MODEL_NAME).join("model.onnx") +} + +/// Get the expected path for the NER tokenizer in the models directory +#[must_use] +pub fn ner_tokenizer_path(models_dir: &Path) -> PathBuf { + models_dir.join(NER_MODEL_NAME).join("tokenizer.json") +} + +/// Check if NER model is installed +#[must_use] +pub fn is_ner_model_installed(models_dir: &Path) -> bool { + ner_model_path(models_dir).exists() && ner_tokenizer_path(models_dir).exists() +} + +// ============================================================================ +// Tests +// ============================================================================ + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_entity_kind_mapping() { + let cases = vec![ + ("PER", EntityKind::Person), + ("B-PER", EntityKind::Person), + ("I-PER", EntityKind::Person), + ("ORG", EntityKind::Organization), + ("B-ORG", EntityKind::Organization), + ("LOC", EntityKind::Location), + ("B-LOC", EntityKind::Location), + ("MISC", EntityKind::Other), + ("B-MISC", EntityKind::Other), + ("unknown", EntityKind::Other), + ]; + + for (entity_type, expected_kind) in cases { + let entity = ExtractedEntity { + text: "test".to_string(), + entity_type: entity_type.to_string(), + confidence: 0.9, + byte_start: 0, + byte_end: 4, + }; + assert_eq!( + entity.to_entity_kind(), + expected_kind, + "Failed for entity_type: {}", + entity_type + ); + } + } + + #[test] + fn test_model_info() { + let info = default_ner_model_info(); + assert_eq!(info.name, NER_MODEL_NAME); + assert!(info.is_default); + assert!(info.size_mb > 200.0); + } + + #[test] + fn test_model_paths() { + let models_dir = PathBuf::from("/tmp/models"); + let model_path = ner_model_path(&models_dir); + let tokenizer_path = ner_tokenizer_path(&models_dir); + + assert!(model_path.to_string_lossy().contains("model.onnx")); + assert!(tokenizer_path.to_string_lossy().contains("tokenizer.json")); + } + + #[test] + fn test_ner_labels() { + assert_eq!(NER_LABELS.len(), 9); + assert_eq!(NER_LABELS[0], "O"); + assert_eq!(NER_LABELS[1], "B-PER"); + assert_eq!(NER_LABELS[3], "B-ORG"); + assert_eq!(NER_LABELS[5], "B-LOC"); + assert_eq!(NER_LABELS[7], "B-MISC"); + } +} diff --git a/src/analysis/temporal.rs b/src/analysis/temporal.rs new file mode 100644 index 0000000..293ed7c --- /dev/null +++ b/src/analysis/temporal.rs @@ -0,0 +1,800 @@ +#![cfg(feature = "temporal_track")] + +use once_cell::sync::OnceCell; +use regex::Regex; +use time::{Date, Duration, Month, OffsetDateTime, PrimitiveDateTime, Time, Weekday}; + +use crate::error::{MemvidError, Result}; + +const DEFAULT_CONFIDENCE: u16 = 950; +const AMBIGUOUS_CONFIDENCE: u16 = 700; +const RELATIVE_CONFIDENCE: u16 = 900; + +#[derive(Debug, Clone, Copy, PartialEq, Eq)] +pub enum TemporalResolutionFlag { + Ambiguous, + Relative, +} + +impl TemporalResolutionFlag { + pub fn as_str(self) -> &'static str { + match self { + Self::Ambiguous => "ambiguous", + Self::Relative => "relative", + } + } +} + +#[derive(Debug, Clone, PartialEq, Eq)] +pub enum TemporalResolutionValue { + Date(Date), + DateRange { + start: Date, + end: Date, + }, + DateTime(OffsetDateTime), + DateTimeRange { + start: OffsetDateTime, + end: OffsetDateTime, + }, + Month { + year: i32, + month: Month, + }, +} + +#[derive(Debug, Clone, PartialEq, Eq)] +pub struct TemporalResolution { + pub value: TemporalResolutionValue, + pub flags: Vec, + pub confidence: u16, +} + +#[derive(Debug, Clone)] +pub struct TemporalContext { + pub anchor: OffsetDateTime, + pub timezone: String, + pub week_start: Weekday, + pub clock_inheritance: bool, +} + +impl TemporalContext { + pub fn new(anchor: OffsetDateTime, timezone: impl Into) -> Self { + Self { + anchor, + timezone: timezone.into(), + week_start: Weekday::Monday, + clock_inheritance: true, + } + } + + pub fn with_week_start(mut self, week_start: Weekday) -> Self { + self.week_start = week_start; + self + } + + pub fn with_clock_inheritance(mut self, inherit: bool) -> Self { + self.clock_inheritance = inherit; + self + } +} + +#[derive(Debug, Clone)] +pub struct TemporalNormalizer { + context: TemporalContext, +} + +impl TemporalNormalizer { + pub fn new(context: TemporalContext) -> Self { + Self { context } + } + + pub fn resolve(&self, phrase: &str) -> Result { + let trimmed = phrase.trim(); + if trimmed.is_empty() { + return Err(MemvidError::InvalidQuery { + reason: "temporal phrase is empty".into(), + }); + } + + let lower = trimmed.to_ascii_lowercase(); + + if let Some(resolution) = self.resolve_fixed(&lower) { + return Ok(resolution); + } + if let Some(resolution) = self.resolve_relative_days(&lower) { + return Ok(resolution); + } + if let Some(resolution) = self.resolve_relative_weeks(&lower) { + return Ok(resolution); + } + if let Some(resolution) = self.resolve_weekday_phrases(&lower) { + return Ok(resolution); + } + if let Some(resolution) = self.resolve_clock_phrases(&lower) { + return Ok(resolution); + } + if let Some(resolution) = self.resolve_numeric_date(&lower) { + return Ok(resolution); + } + if let Some(resolution) = self.resolve_quarter(&lower) { + return Ok(resolution); + } + if let Some(resolution) = self.resolve_year(&lower) { + return Ok(resolution); + } + + Err(MemvidError::InvalidQuery { + reason: format!("unsupported temporal phrase: {trimmed}"), + }) + } + + fn resolve_fixed(&self, phrase: &str) -> Option { + match phrase { + "today" => Some(self.date_resolution(self.anchor_date())), + "yesterday" => Some(self.date_resolution(add_days(self.anchor_date(), -1))), + "tomorrow" => Some(self.date_resolution(add_days(self.anchor_date(), 1))), + "two days ago" => self.relative_days(-2, RELATIVE_CONFIDENCE), + "in 3 days" => self.relative_days(3, RELATIVE_CONFIDENCE), + "two weeks from now" => self.relative_weeks_offset(2), + "2 weeks from now" => self.relative_weeks_offset(2), + "two fridays ago" => self.weeks_from_weekday(-2, Weekday::Friday), + "last friday" => self.weeks_from_weekday(-1, Weekday::Friday), + "next friday" => self.weeks_from_weekday(1, Weekday::Friday), + "this friday" => Some(self.this_weekday(Weekday::Friday)), + "next week" => Some(self.week_range(1)), + "last week" => Some(self.week_range(-1)), + "end of this month" => Some(self.end_of_month()), + "start of next month" => Some(self.start_of_next_month()), + "last month" => Some(self.month_relative(-1)), + "3 months ago" => Some(self.date_with_month_offset(-3)), + "in 90 minutes" => { + Some(self.datetime_resolution(self.context.anchor + Duration::minutes(90))) + } + "at 5pm today" => Some(self.time_today(17, 0)), + "in the last 24 hours" => Some(self.last_hours_range(24)), + "this morning" => Some(self.morning_range()), + "on the sunday after next" => Some(self.sunday_after_next()), + "next daylight saving change" => Some(self.next_dst_change()), + "midnight tomorrow" => Some(self.midnight_tomorrow()), + "noon next tuesday" => { + Some(self.weekday_in_following_week_at_time(Weekday::Tuesday, 12, 0)) + } + "q4 2025" => Some(self.quarter_range(2025, 4)), + "end of q3" => Some(self.end_of_quarter(3)), + "first business day of next month" => Some(self.first_business_day_next_month()), + "the first business day of next month" => Some(self.first_business_day_next_month()), + _ => None, + } + } + + fn resolve_relative_days(&self, phrase: &str) -> Option { + static IN_DAYS: OnceCell = OnceCell::new(); + static AGO_DAYS: OnceCell = OnceCell::new(); + + if let Some(captures) = IN_DAYS + .get_or_init(|| Regex::new(r"^in (?P[[:word:]]+) days$").unwrap()) + .captures(phrase) + { + let count = parse_number(captures.name("count")?.as_str())?; + return self.relative_days(count as i64, RELATIVE_CONFIDENCE); + } + + if let Some(captures) = AGO_DAYS + .get_or_init(|| Regex::new(r"^(?P[[:word:]]+) days ago$").unwrap()) + .captures(phrase) + { + let count = parse_number(captures.name("count")?.as_str())?; + return self.relative_days(-(count as i64), RELATIVE_CONFIDENCE); + } + + None + } + + fn resolve_relative_weeks(&self, phrase: &str) -> Option { + static WEEKS_FROM_NOW: OnceCell = OnceCell::new(); + + if let Some(caps) = WEEKS_FROM_NOW + .get_or_init(|| Regex::new(r"^(?P[[:word:]]+) weeks from now$").unwrap()) + .captures(phrase) + { + let count = parse_number(caps.name("count")?.as_str())?; + return self.relative_weeks_offset(count as i32); + } + None + } + + fn resolve_weekday_phrases(&self, phrase: &str) -> Option { + static NEXT_WEEKDAY: OnceCell = OnceCell::new(); + static LAST_WEEKDAY: OnceCell = OnceCell::new(); + static WEEKDAY_AT_TIME: OnceCell = OnceCell::new(); + static BARE_WEEKDAY: OnceCell = OnceCell::new(); + + if let Some(caps) = NEXT_WEEKDAY + .get_or_init(|| Regex::new(r"^next (?P[a-z]+)$").unwrap()) + .captures(phrase) + { + let weekday = parse_weekday(caps.name("weekday")?.as_str())?; + return self.weeks_from_weekday(1, weekday); + } + + if let Some(caps) = LAST_WEEKDAY + .get_or_init(|| Regex::new(r"^last (?P[a-z]+)$").unwrap()) + .captures(phrase) + { + let weekday = parse_weekday(caps.name("weekday")?.as_str())?; + return self.weeks_from_weekday(-1, weekday); + } + + if let Some(caps) = WEEKDAY_AT_TIME + .get_or_init(|| { + Regex::new( + r"^(?:(?Pnext) )?(?P[a-z]+) at (?P\d{1,2})(?::(?P\d{2}))?(?Pam|pm)?$", + ) + .unwrap() + }) + .captures(phrase) + { + let weekday = parse_weekday(caps.name("weekday")?.as_str())?; + let hour_raw: i32 = caps.name("hour")?.as_str().parse().ok()?; + let minute_raw: i32 = caps + .name("minute") + .map(|m| m.as_str().parse().unwrap_or(0)) + .unwrap_or(0); + let hour = convert_hour(hour_raw, caps.name("ampm").map(|m| m.as_str()))?; + let minute = minute_raw as i32; + if caps.name("prefix").is_some() { + return Some(self.next_weekday_at_time(weekday, hour, minute)); + } + return Some(self.weekday_at_time(weekday, hour, minute)); + } + + if let Some(caps) = BARE_WEEKDAY + .get_or_init(|| Regex::new(r"^(?P[a-z]+)$").unwrap()) + .captures(phrase) + { + let weekday = parse_weekday(caps.name("weekday")?.as_str())?; + return Some(self.this_weekday(weekday)); + } + + None + } + + fn resolve_clock_phrases(&self, phrase: &str) -> Option { + static TODAY_AT: OnceCell = OnceCell::new(); + static TODAY_PREFIX: OnceCell = OnceCell::new(); + + let sanitized = sanitize_ampm(phrase); + let target = sanitized.trim(); + if let Some(caps) = TODAY_AT + .get_or_init(|| { + Regex::new( + r"^at (?P\d{1,2})(?::(?P\d{2}))?(?:\s*(?Pam|pm)) today$", + ) + .unwrap() + }) + .captures(target) + { + let hour_raw: i32 = caps.name("hour")?.as_str().parse().ok()?; + let minute_raw: i32 = caps + .name("minute") + .map(|m| m.as_str().parse().unwrap_or(0)) + .unwrap_or(0); + let hour = convert_hour(hour_raw, caps.name("ampm").map(|m| m.as_str()))?; + let minute = minute_raw as i32; + return Some(self.time_today(hour, minute)); + } + + if let Some(caps) = TODAY_PREFIX + .get_or_init(|| { + Regex::new( + r"^today at (?P\d{1,2})(?::(?P\d{2}))?(?:\s*(?Pam|pm))?$", + ) + .unwrap() + }) + .captures(target) + { + let hour_raw: i32 = caps.name("hour")?.as_str().parse().ok()?; + let minute_raw: i32 = caps + .name("minute") + .map(|m| m.as_str().parse().unwrap_or(0)) + .unwrap_or(0); + let marker = caps.name("ampm").map(|m| m.as_str()); + let hour = convert_hour(hour_raw, marker)?; + let minute = minute_raw as i32; + return Some(self.time_today(hour, minute)); + } + + None + } + + fn resolve_numeric_date(&self, phrase: &str) -> Option { + static NUMERIC: OnceCell = OnceCell::new(); + + let caps = NUMERIC + .get_or_init(|| { + Regex::new(r"^(?P\d{1,2})/(?P\d{1,2})/(?P\d{2,4})$").unwrap() + }) + .captures(phrase)?; + + let month: u8 = caps.name("month")?.as_str().parse().ok()?; + let day: u8 = caps.name("day")?.as_str().parse().ok()?; + let year = parse_year(caps.name("year")?.as_str()); + let month_enum = Month::try_from(month).ok()?; + let last_day = last_day_of_month(year, month_enum); + if day == 0 || day > last_day { + return None; + } + let date = Date::from_calendar_date(year, month_enum, day).ok()?; + let mut resolution = self.date_resolution(date); + resolution.confidence = AMBIGUOUS_CONFIDENCE; + resolution.flags.push(TemporalResolutionFlag::Ambiguous); + Some(resolution) + } + + fn resolve_quarter(&self, phrase: &str) -> Option { + static QUARTER_YEAR: OnceCell = OnceCell::new(); + static QUARTER_WORD_YEAR: OnceCell = OnceCell::new(); + static QUARTER_ORDINAL_YEAR: OnceCell = OnceCell::new(); + + if let Some(caps) = QUARTER_YEAR + .get_or_init(|| Regex::new(r"^q(?P[1-4]) (?P\d{4})$").unwrap()) + .captures(phrase) + { + let quarter: i32 = caps.name("quarter")?.as_str().parse().ok()?; + let year: i32 = caps.name("year")?.as_str().parse().ok()?; + return Some(self.quarter_range(year, quarter)); + } + if let Some(caps) = QUARTER_WORD_YEAR + .get_or_init(|| { + Regex::new(r"^(?Pfirst|second|third|fourth) quarter(?: of)? (?P\d{4})$") + .unwrap() + }) + .captures(phrase) + { + let quarter = match caps.name("word")?.as_str() { + "first" => 1, + "second" => 2, + "third" => 3, + "fourth" => 4, + _ => return None, + }; + let year = caps.name("year")?.as_str().parse().ok()?; + return Some(self.quarter_range(year, quarter)); + } + if let Some(caps) = QUARTER_ORDINAL_YEAR + .get_or_init(|| { + Regex::new(r"^(?P[1-4])(st|nd|rd|th)? quarter(?: of)? (?P\d{4})$") + .unwrap() + }) + .captures(phrase) + { + let quarter: i32 = caps.name("num")?.as_str().parse().ok()?; + let year: i32 = caps.name("year")?.as_str().parse().ok()?; + return Some(self.quarter_range(year, quarter)); + } + None + } + + fn resolve_year(&self, phrase: &str) -> Option { + static YEAR_SINGLE: OnceCell = OnceCell::new(); + + let caps = YEAR_SINGLE + .get_or_init(|| Regex::new(r"^(?:year )?(?P\d{4})$").unwrap()) + .captures(phrase)?; + let year = parse_year(caps.name("year")?.as_str()); + Some(self.year_range(year)) + } + + fn relative_days(&self, delta: i64, confidence: u16) -> Option { + let date = add_days(self.anchor_date(), delta); + let mut res = self.date_resolution(date); + res.confidence = confidence; + res.flags.push(TemporalResolutionFlag::Relative); + Some(res) + } + + fn relative_weeks_offset(&self, weeks: i32) -> Option { + let date = add_days(self.anchor_date(), (weeks as i64) * 7); + let mut res = self.date_resolution(date); + res.confidence = RELATIVE_CONFIDENCE; + res.flags.push(TemporalResolutionFlag::Relative); + Some(res) + } + + fn weeks_from_weekday(&self, weeks: i32, weekday: Weekday) -> Option { + if weeks == 0 { + return Some(self.this_weekday(weekday)); + } + if weeks > 0 { + let mut date = self.next_weekday_after(self.anchor_date(), weekday); + for _ in 1..weeks { + date = add_days(self.next_weekday_after(date, weekday), 0); + } + return Some(self.date_resolution(date)); + } + let mut date = self.previous_weekday_before(self.anchor_date(), weekday); + for _ in 1..weeks.abs() { + date = self.previous_weekday_before(date, weekday); + } + Some(self.date_resolution(date)) + } + + fn this_weekday(&self, weekday: Weekday) -> TemporalResolution { + let start = self.start_of_week(self.anchor_date()); + let mut offset = weekday.number_days_from_monday() as i64 + - self.context.week_start.number_days_from_monday() as i64; + if offset < 0 { + offset += 7; + } + let date = add_days(start, offset); + self.date_resolution(date) + } + + fn week_range(&self, offset_weeks: i32) -> TemporalResolution { + let start = add_days( + self.start_of_week(self.anchor_date()), + (offset_weeks * 7) as i64, + ); + let end = add_days(start, 6); + let mut res = self.date_range_resolution(start, end); + res.flags.push(TemporalResolutionFlag::Relative); + res.confidence = RELATIVE_CONFIDENCE; + res + } + + fn end_of_month(&self) -> TemporalResolution { + let date = self.anchor_date(); + let last_day = last_day_of_month(date.year(), date.month()); + let end = Date::from_calendar_date(date.year(), date.month(), last_day).unwrap(); + self.date_resolution(end) + } + + fn start_of_next_month(&self) -> TemporalResolution { + let date = self.anchor_date(); + let (year, month) = add_months(date.year(), date.month(), 1); + let start = Date::from_calendar_date(year, month, 1).unwrap(); + self.date_resolution(start) + } + + fn month_relative(&self, offset: i32) -> TemporalResolution { + let date = self.anchor_date(); + let (year, month) = add_months(date.year(), date.month(), offset); + TemporalResolution { + value: TemporalResolutionValue::Month { year, month }, + flags: vec![TemporalResolutionFlag::Relative], + confidence: RELATIVE_CONFIDENCE, + } + } + + fn date_with_month_offset(&self, offset: i32) -> TemporalResolution { + let date = self.anchor_date(); + let (year, month) = add_months(date.year(), date.month(), offset); + let day = date.day().min(last_day_of_month(year, month)); + let new_date = Date::from_calendar_date(year, month, day).unwrap(); + let mut res = self.date_resolution(new_date); + res.flags.push(TemporalResolutionFlag::Relative); + res.confidence = RELATIVE_CONFIDENCE; + res + } + + fn time_today(&self, hour: i32, minute: i32) -> TemporalResolution { + let date = self.anchor_date(); + let dt = combine(date, hour, minute, 0, self.context.anchor.offset()); + self.datetime_resolution(dt) + } + + fn last_hours_range(&self, hours: i64) -> TemporalResolution { + let end = self.context.anchor; + let start = end - Duration::hours(hours); + let mut res = self.datetime_range_resolution(start, end); + res.flags.push(TemporalResolutionFlag::Relative); + res.confidence = RELATIVE_CONFIDENCE; + res + } + + fn morning_range(&self) -> TemporalResolution { + let date = self.anchor_date(); + let start = combine(date, 6, 0, 0, self.context.anchor.offset()); + let end = combine(date, 11, 59, 59, self.context.anchor.offset()); + let mut res = self.datetime_range_resolution(start, end); + res.flags.push(TemporalResolutionFlag::Relative); + res + } + + fn sunday_after_next(&self) -> TemporalResolution { + let next = self.next_weekday_after(self.anchor_date(), Weekday::Sunday); + let after_next = add_days(next, 7); + let mut res = self.date_resolution(after_next); + res.flags.push(TemporalResolutionFlag::Relative); + res + } + + fn next_dst_change(&self) -> TemporalResolution { + let year = self.anchor_date().year(); + let november_first = Date::from_calendar_date(year, Month::November, 1).unwrap(); + let first_sunday = self.next_weekday_on_or_after(november_first, Weekday::Sunday); + let date = add_days(first_sunday, 0); + let dt = combine(date, 1, 0, 0, self.context.anchor.offset()); + let mut res = self.datetime_resolution(dt); + res.flags.push(TemporalResolutionFlag::Relative); + res + } + + fn midnight_tomorrow(&self) -> TemporalResolution { + let date = add_days(self.anchor_date(), 1); + let dt = combine(date, 0, 0, 0, self.context.anchor.offset()); + self.datetime_resolution(dt) + } + + fn next_weekday_at_time(&self, weekday: Weekday, hour: i32, minute: i32) -> TemporalResolution { + let date = self.next_weekday_after(self.anchor_date(), weekday); + self.datetime_resolution(combine(date, hour, minute, 0, self.context.anchor.offset())) + } + + fn weekday_at_time(&self, weekday: Weekday, hour: i32, minute: i32) -> TemporalResolution { + let today = self.anchor_date(); + let target = self.next_weekday_on_or_after(today, weekday); + self.datetime_resolution(combine( + target, + hour, + minute, + 0, + self.context.anchor.offset(), + )) + } + + fn weekday_in_following_week_at_time( + &self, + weekday: Weekday, + hour: i32, + minute: i32, + ) -> TemporalResolution { + let first = self.next_weekday_after(self.anchor_date(), weekday); + let date = add_days(first, 7); + self.datetime_resolution(combine(date, hour, minute, 0, self.context.anchor.offset())) + } + + fn quarter_range(&self, year: i32, quarter: i32) -> TemporalResolution { + let start_month = match quarter { + 1 => Month::January, + 2 => Month::April, + 3 => Month::July, + 4 => Month::October, + _ => Month::January, + }; + let start = Date::from_calendar_date(year, start_month, 1).unwrap(); + let (end_year, end_month) = add_months(year, start_month, 2); + let end_day = last_day_of_month(end_year, end_month); + let end = Date::from_calendar_date(end_year, end_month, end_day).unwrap(); + self.date_range_resolution(start, end) + } + + fn year_range(&self, year: i32) -> TemporalResolution { + let start = Date::from_calendar_date(year, Month::January, 1).unwrap(); + let end = Date::from_calendar_date(year, Month::December, 31).unwrap(); + self.date_range_resolution(start, end) + } + + fn end_of_quarter(&self, quarter: i32) -> TemporalResolution { + let year = self.anchor_date().year(); + let mut res = self.quarter_range(year, quarter); + if let TemporalResolutionValue::DateRange { start: _, end } = &mut res.value { + res.value = TemporalResolutionValue::Date(*end); + } + res.flags.push(TemporalResolutionFlag::Relative); + res + } + + fn first_business_day_next_month(&self) -> TemporalResolution { + let start = match self.start_of_next_month().value { + TemporalResolutionValue::Date(date) => date, + _ => unreachable!(), + }; + let mut date = start; + while matches!(date.weekday(), Weekday::Saturday | Weekday::Sunday) { + date = add_days(date, 1); + } + let mut res = self.date_resolution(date); + res.flags.push(TemporalResolutionFlag::Relative); + res + } + + fn date_resolution(&self, date: Date) -> TemporalResolution { + TemporalResolution { + value: TemporalResolutionValue::Date(date), + flags: Vec::new(), + confidence: DEFAULT_CONFIDENCE, + } + } + + fn date_range_resolution(&self, start: Date, end: Date) -> TemporalResolution { + TemporalResolution { + value: TemporalResolutionValue::DateRange { start, end }, + flags: Vec::new(), + confidence: DEFAULT_CONFIDENCE, + } + } + + fn datetime_resolution(&self, dt: OffsetDateTime) -> TemporalResolution { + TemporalResolution { + value: TemporalResolutionValue::DateTime(dt), + flags: Vec::new(), + confidence: DEFAULT_CONFIDENCE, + } + } + + fn datetime_range_resolution( + &self, + start: OffsetDateTime, + end: OffsetDateTime, + ) -> TemporalResolution { + TemporalResolution { + value: TemporalResolutionValue::DateTimeRange { start, end }, + flags: Vec::new(), + confidence: DEFAULT_CONFIDENCE, + } + } + + fn anchor_date(&self) -> Date { + self.context.anchor.date() + } + + fn start_of_week(&self, date: Date) -> Date { + let mut current = date; + while current.weekday() != self.context.week_start { + current = add_days(current, -1); + } + current + } + + fn next_weekday_after(&self, date: Date, weekday: Weekday) -> Date { + let mut current = add_days(date, 1); + while current.weekday() != weekday { + current = add_days(current, 1); + } + current + } + + fn previous_weekday_before(&self, date: Date, weekday: Weekday) -> Date { + let mut current = add_days(date, -1); + while current.weekday() != weekday { + current = add_days(current, -1); + } + current + } + + fn next_weekday_on_or_after(&self, date: Date, weekday: Weekday) -> Date { + let mut current = date; + while current.weekday() != weekday { + current = add_days(current, 1); + } + current + } +} + +fn add_days(date: Date, delta: i64) -> Date { + date.checked_add(Duration::days(delta)).unwrap() +} + +fn add_months(year: i32, month: Month, delta: i32) -> (i32, Month) { + let mut total = month as i32 + delta; + let mut new_year = year; + while total > 12 { + total -= 12; + new_year += 1; + } + while total < 1 { + total += 12; + new_year -= 1; + } + let month_enum = Month::try_from(total as u8).unwrap(); + (new_year, month_enum) +} + +fn last_day_of_month(year: i32, month: Month) -> u8 { + let next_month = if month == Month::December { + Date::from_calendar_date(year + 1, Month::January, 1).unwrap() + } else { + Date::from_calendar_date(year, month.next(), 1).unwrap() + }; + add_days(next_month, -1).day() +} + +fn combine( + date: Date, + hour: i32, + minute: i32, + second: i32, + offset: time::UtcOffset, +) -> OffsetDateTime { + let primitive = PrimitiveDateTime::new( + date, + Time::from_hms(hour as u8, minute as u8, second as u8).unwrap(), + ); + primitive.assume_offset(offset) +} + +fn parse_number(token: &str) -> Option { + if let Ok(value) = token.parse::() { + return Some(value); + } + match token { + "one" => Some(1), + "two" => Some(2), + "three" => Some(3), + "four" => Some(4), + "five" => Some(5), + "six" => Some(6), + "seven" => Some(7), + "eight" => Some(8), + "nine" => Some(9), + "ten" => Some(10), + "eleven" => Some(11), + "twelve" => Some(12), + _ => None, + } +} + +fn parse_weekday(token: &str) -> Option { + match token { + "monday" => Some(Weekday::Monday), + "tuesday" => Some(Weekday::Tuesday), + "wednesday" => Some(Weekday::Wednesday), + "thursday" => Some(Weekday::Thursday), + "friday" => Some(Weekday::Friday), + "saturday" => Some(Weekday::Saturday), + "sunday" => Some(Weekday::Sunday), + _ => None, + } +} + +fn convert_hour(hour: i32, ampm: Option<&str>) -> Option { + match ampm { + Some(marker) => { + if hour < 1 || hour > 12 { + return None; + } + let converted = if marker == "pm" { + if hour == 12 { 12 } else { hour + 12 } + } else if hour == 12 { + 0 + } else { + hour + }; + Some(converted) + } + None => { + if (0..=23).contains(&hour) { + Some(hour) + } else { + None + } + } + } +} + +fn sanitize_ampm(input: &str) -> String { + input + .replace("a.m.", "am") + .replace("p.m.", "pm") + .replace("a.m", "am") + .replace("p.m", "pm") +} + +fn parse_year(token: &str) -> i32 { + if token.len() == 2 { + let value: i32 = token.parse().unwrap(); + 2000 + value + } else { + token.parse().unwrap() + } +} + +pub fn parse_week_start(value: &str) -> Option { + parse_weekday(&value.to_ascii_lowercase()) +} + +pub fn parse_clock_inheritance(value: &str) -> bool { + !matches!(value.to_ascii_lowercase().as_str(), "drop") +} diff --git a/src/analysis/temporal_enrich.rs b/src/analysis/temporal_enrich.rs new file mode 100644 index 0000000..fa80acb --- /dev/null +++ b/src/analysis/temporal_enrich.rs @@ -0,0 +1,881 @@ +//! Temporal Enrichment Module +//! +//! Implements the "Sliding Anchor" pipeline for resolving relative temporal +//! references during document ingestion. This module detects date anchors +//! in document text, tracks the current temporal context, and resolves +//! relative phrases like "last year" to absolute dates. +//! +//! # Architecture +//! +//! 1. **Anchor Detection**: Regex patterns detect explicit dates in text +//! (e.g., "May 7, 2023", "2023-05-07", session headers) +//! 2. **Anchor Propagation**: State machine tracks current anchor through document +//! 3. **Phrase Detection**: Identifies relative temporal phrases ("last year", "next week") +//! 4. **Resolution**: Converts relative phrases to absolute dates using anchor +//! 5. **Context Injection**: Appends resolved context to chunk for embedding + +#![cfg(feature = "temporal_enrich")] + +use chrono::{Datelike, NaiveDate, NaiveDateTime}; +use once_cell::sync::Lazy; +use regex::Regex; +use serde::{Deserialize, Serialize}; + +/// Source of a temporal anchor +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)] +pub enum AnchorSource { + /// From document/file metadata (creation date, etc.) + DocumentMetadata, + /// From explicit header (e.g., "Session 5 (May 7, 2023)") + ExplicitHeader, + /// From inline date in text (e.g., "On May 7, 2023, ...") + InlineDate, + /// Inherited from previous chunk/section + Inherited, +} + +/// A detected temporal anchor +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct TemporalAnchorInfo { + /// The resolved date + pub date: NaiveDate, + /// Source of this anchor + pub source: AnchorSource, + /// Confidence score (0.0-1.0) + pub confidence: f32, + /// Original text that produced this anchor + pub original_text: String, + /// Character offset in the original document + pub char_offset: usize, +} + +/// A detected relative temporal phrase +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct RelativePhrase { + /// The phrase as found in text (e.g., "last year") + pub phrase: String, + /// Character offset in the chunk + pub char_offset: usize, + /// Length of the phrase + pub length: usize, + /// Resolved absolute value (if anchor available) + pub resolved: Option, +} + +/// Resolved temporal value +#[derive(Debug, Clone, Serialize, Deserialize)] +pub enum ResolvedTemporal { + /// Single date + Date(NaiveDate), + /// Date range (start, end) + DateRange { start: NaiveDate, end: NaiveDate }, + /// Year only + Year(i32), + /// Month in a year + Month { year: i32, month: u32 }, +} + +impl ResolvedTemporal { + /// Format as a human-readable string + #[must_use] + pub fn to_display_string(&self) -> String { + match self { + Self::Date(d) => d.format("%B %d, %Y").to_string(), + Self::DateRange { start, end } => { + format!( + "{} to {}", + start.format("%B %d, %Y"), + end.format("%B %d, %Y") + ) + } + Self::Year(y) => y.to_string(), + Self::Month { year, month } => { + let month_name = match month { + 1 => "January", + 2 => "February", + 3 => "March", + 4 => "April", + 5 => "May", + 6 => "June", + 7 => "July", + 8 => "August", + 9 => "September", + 10 => "October", + 11 => "November", + 12 => "December", + _ => "Unknown", + }; + format!("{month_name} {year}") + } + } + } + + /// Format as ISO-8601 compatible string + #[must_use] + pub fn to_iso_string(&self) -> String { + match self { + Self::Date(d) => d.format("%Y-%m-%d").to_string(), + Self::DateRange { start, end } => { + format!("{}/{}", start.format("%Y-%m-%d"), end.format("%Y-%m-%d")) + } + Self::Year(y) => format!("{y}"), + Self::Month { year, month } => format!("{year}-{month:02}"), + } + } +} + +/// Result of temporal enrichment for a chunk +#[derive(Debug, Clone, Default, Serialize, Deserialize)] +pub struct TemporalEnrichment { + /// Current anchor for this chunk + pub anchor: Option, + /// Detected relative phrases with resolutions + pub relative_phrases: Vec, + /// Generated context block to append to embedding text + pub context_block: Option, +} + +/// Sliding anchor state machine for tracking temporal context +#[derive(Debug, Clone)] +pub struct TemporalAnchorTracker { + /// Current anchor date + current_anchor: Option, + /// Source of current anchor + anchor_source: Option, + /// Confidence of current anchor + anchor_confidence: f32, + /// Original text of current anchor + anchor_text: Option, +} + +impl Default for TemporalAnchorTracker { + fn default() -> Self { + Self::new() + } +} + +impl TemporalAnchorTracker { + /// Create a new tracker with no anchor + #[must_use] + pub fn new() -> Self { + Self { + current_anchor: None, + anchor_source: None, + anchor_confidence: 0.0, + anchor_text: None, + } + } + + /// Create a tracker with an initial anchor from document metadata + #[must_use] + pub fn with_document_date(date: NaiveDate) -> Self { + Self { + current_anchor: Some(date), + anchor_source: Some(AnchorSource::DocumentMetadata), + anchor_confidence: 0.7, + anchor_text: None, + } + } + + /// Get the current anchor date + #[must_use] + pub fn current_anchor(&self) -> Option { + self.current_anchor + } + + /// Process a line of text, updating anchor if a date is found + pub fn process_line(&mut self, line: &str, char_offset: usize) -> Option { + // Try to detect a date anchor in this line + if let Some((date, source, confidence, text)) = detect_anchor_in_line(line) { + // Only update if new anchor has higher confidence or is more specific + let should_update = self.current_anchor.is_none() + || confidence > self.anchor_confidence + || matches!(source, AnchorSource::ExplicitHeader); + + if should_update { + self.current_anchor = Some(date); + self.anchor_source = Some(source); + self.anchor_confidence = confidence; + self.anchor_text = Some(text.clone()); + + return Some(TemporalAnchorInfo { + date, + source, + confidence, + original_text: text, + char_offset, + }); + } + } + None + } + + /// Get current anchor info + #[must_use] + pub fn anchor_info(&self) -> Option { + self.current_anchor.map(|date| TemporalAnchorInfo { + date, + source: self.anchor_source.unwrap_or(AnchorSource::Inherited), + confidence: self.anchor_confidence, + original_text: self.anchor_text.clone().unwrap_or_default(), + char_offset: 0, + }) + } +} + +// Regex patterns for anchor detection +static SESSION_HEADER_PATTERN: Lazy = + Lazy::new(|| Regex::new(r"(?i)Session\s+\d+\s*\(([^)]+)\)").expect("valid regex")); + +static DATE_HEADER_PATTERN: Lazy = + Lazy::new(|| Regex::new(r"(?i)\[(?:SESSION_)?DATE:\s*([^\]]+)\]").expect("valid regex")); + +static ISO_DATE_PATTERN: Lazy = + Lazy::new(|| Regex::new(r"(\d{4})[/-](\d{1,2})[/-](\d{1,2})").expect("valid regex")); + +static LONG_DATE_PATTERN: Lazy = Lazy::new(|| { + Regex::new(r"(?i)(January|February|March|April|May|June|July|August|September|October|November|December)\s+(\d{1,2}),?\s+(\d{4})").expect("valid regex") +}); + +static SHORT_DATE_PATTERN: Lazy = Lazy::new(|| { + Regex::new( + r"(?i)(Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)[a-z]*\.?\s+(\d{1,2}),?\s+(\d{4})", + ) + .expect("valid regex") +}); + +static SLASH_DATE_PATTERN: Lazy = + Lazy::new(|| Regex::new(r"(\d{1,2})/(\d{1,2})/(\d{2,4})").expect("valid regex")); + +// Regex patterns for relative phrase detection +static RELATIVE_YEAR_PATTERN: Lazy = + Lazy::new(|| Regex::new(r"(?i)\b(last|this|next)\s+year\b").expect("valid regex")); + +static RELATIVE_MONTH_PATTERN: Lazy = + Lazy::new(|| Regex::new(r"(?i)\b(last|this|next)\s+month\b").expect("valid regex")); + +static RELATIVE_WEEK_PATTERN: Lazy = + Lazy::new(|| Regex::new(r"(?i)\b(last|this|next)\s+week\b").expect("valid regex")); + +static AGO_PATTERN: Lazy = Lazy::new(|| { + Regex::new(r"(?i)\b(\d+|a|one|two|three|four|five|six|seven|eight|nine|ten)\s+(days?|weeks?|months?|years?)\s+ago\b").expect("valid regex") +}); + +static IN_FUTURE_PATTERN: Lazy = Lazy::new(|| { + Regex::new(r"(?i)\bin\s+(\d+|a|one|two|three|four|five|six|seven|eight|nine|ten)\s+(days?|weeks?|months?|years?)\b").expect("valid regex") +}); + +static RELATIVE_DAY_PATTERN: Lazy = + Lazy::new(|| Regex::new(r"(?i)\b(yesterday|today|tomorrow)\b").expect("valid regex")); + +static RELATIVE_WEEKDAY_PATTERN: Lazy = Lazy::new(|| { + Regex::new( + r"(?i)\b(last|this|next)\s+(Monday|Tuesday|Wednesday|Thursday|Friday|Saturday|Sunday)\b", + ) + .expect("valid regex") +}); + +/// Detect an anchor date in a line of text +fn detect_anchor_in_line(line: &str) -> Option<(NaiveDate, AnchorSource, f32, String)> { + // Priority 1: Session headers (highest confidence) + if let Some(caps) = SESSION_HEADER_PATTERN.captures(line) { + if let Some(date_str) = caps.get(1) { + if let Some(date) = parse_date_string(date_str.as_str()) { + return Some(( + date, + AnchorSource::ExplicitHeader, + 0.95, + caps[0].to_string(), + )); + } + } + } + + // Priority 2: Date headers [DATE: ...] + if let Some(caps) = DATE_HEADER_PATTERN.captures(line) { + if let Some(date_str) = caps.get(1) { + if let Some(date) = parse_date_string(date_str.as_str()) { + return Some(( + date, + AnchorSource::ExplicitHeader, + 0.95, + caps[0].to_string(), + )); + } + } + } + + // Priority 3: ISO dates (2023-05-07) + if let Some(caps) = ISO_DATE_PATTERN.captures(line) { + let year: i32 = caps[1].parse().ok()?; + let month: u32 = caps[2].parse().ok()?; + let day: u32 = caps[3].parse().ok()?; + if let Some(date) = NaiveDate::from_ymd_opt(year, month, day) { + return Some((date, AnchorSource::InlineDate, 0.9, caps[0].to_string())); + } + } + + // Priority 4: Long month names (May 7, 2023) + if let Some(caps) = LONG_DATE_PATTERN.captures(line) { + let month_str = &caps[1]; + let day: u32 = caps[2].parse().ok()?; + let year: i32 = caps[3].parse().ok()?; + let month = month_name_to_number(month_str)?; + if let Some(date) = NaiveDate::from_ymd_opt(year, month, day) { + return Some((date, AnchorSource::InlineDate, 0.85, caps[0].to_string())); + } + } + + // Priority 5: Short month names (May 7, 2023) + if let Some(caps) = SHORT_DATE_PATTERN.captures(line) { + let month_str = &caps[1]; + let day: u32 = caps[2].parse().ok()?; + let year: i32 = caps[3].parse().ok()?; + let month = month_name_to_number(month_str)?; + if let Some(date) = NaiveDate::from_ymd_opt(year, month, day) { + return Some((date, AnchorSource::InlineDate, 0.85, caps[0].to_string())); + } + } + + // Priority 6: Slash dates (MM/DD/YYYY) - lower confidence due to ambiguity + if let Some(caps) = SLASH_DATE_PATTERN.captures(line) { + let month: u32 = caps[1].parse().ok()?; + let day: u32 = caps[2].parse().ok()?; + let mut year: i32 = caps[3].parse().ok()?; + // Handle 2-digit years + if year < 100 { + year += if year > 50 { 1900 } else { 2000 }; + } + if let Some(date) = NaiveDate::from_ymd_opt(year, month, day) { + return Some((date, AnchorSource::InlineDate, 0.7, caps[0].to_string())); + } + } + + None +} + +/// Parse a date string in various formats +fn parse_date_string(s: &str) -> Option { + let s = s.trim(); + + // Try ISO format first + if let Ok(date) = NaiveDate::parse_from_str(s, "%Y-%m-%d") { + return Some(date); + } + if let Ok(date) = NaiveDate::parse_from_str(s, "%Y/%m/%d") { + return Some(date); + } + + // Try datetime formats + if let Ok(dt) = NaiveDateTime::parse_from_str(s, "%Y/%m/%d (%a) %H:%M") { + return Some(dt.date()); + } + + // Try long month format + if let Some(caps) = LONG_DATE_PATTERN.captures(s) { + let month_str = &caps[1]; + let day: u32 = caps[2].parse().ok()?; + let year: i32 = caps[3].parse().ok()?; + let month = month_name_to_number(month_str)?; + return NaiveDate::from_ymd_opt(year, month, day); + } + + // Try short month format + if let Some(caps) = SHORT_DATE_PATTERN.captures(s) { + let month_str = &caps[1]; + let day: u32 = caps[2].parse().ok()?; + let year: i32 = caps[3].parse().ok()?; + let month = month_name_to_number(month_str)?; + return NaiveDate::from_ymd_opt(year, month, day); + } + + None +} + +/// Convert month name to number +fn month_name_to_number(name: &str) -> Option { + match name.to_lowercase().as_str() { + "january" | "jan" => Some(1), + "february" | "feb" => Some(2), + "march" | "mar" => Some(3), + "april" | "apr" => Some(4), + "may" => Some(5), + "june" | "jun" => Some(6), + "july" | "jul" => Some(7), + "august" | "aug" => Some(8), + "september" | "sep" | "sept" => Some(9), + "october" | "oct" => Some(10), + "november" | "nov" => Some(11), + "december" | "dec" => Some(12), + _ => None, + } +} + +/// Parse a number word to integer +fn parse_number_word(s: &str) -> Option { + let s = s.to_lowercase(); + match s.as_str() { + "a" | "one" => Some(1), + "two" => Some(2), + "three" => Some(3), + "four" => Some(4), + "five" => Some(5), + "six" => Some(6), + "seven" => Some(7), + "eight" => Some(8), + "nine" => Some(9), + "ten" => Some(10), + _ => s.parse().ok(), + } +} + +/// Detect relative temporal phrases in text +#[must_use] +pub fn detect_relative_phrases(text: &str) -> Vec<(String, usize, usize)> { + let mut phrases = Vec::new(); + + // Relative year patterns + for caps in RELATIVE_YEAR_PATTERN.captures_iter(text) { + let m = caps.get(0).expect("full match"); + phrases.push((m.as_str().to_string(), m.start(), m.len())); + } + + // Relative month patterns + for caps in RELATIVE_MONTH_PATTERN.captures_iter(text) { + let m = caps.get(0).expect("full match"); + phrases.push((m.as_str().to_string(), m.start(), m.len())); + } + + // Relative week patterns + for caps in RELATIVE_WEEK_PATTERN.captures_iter(text) { + let m = caps.get(0).expect("full match"); + phrases.push((m.as_str().to_string(), m.start(), m.len())); + } + + // "N days/weeks/months/years ago" patterns + for caps in AGO_PATTERN.captures_iter(text) { + let m = caps.get(0).expect("full match"); + phrases.push((m.as_str().to_string(), m.start(), m.len())); + } + + // "in N days/weeks/months/years" patterns + for caps in IN_FUTURE_PATTERN.captures_iter(text) { + let m = caps.get(0).expect("full match"); + phrases.push((m.as_str().to_string(), m.start(), m.len())); + } + + // yesterday/today/tomorrow + for caps in RELATIVE_DAY_PATTERN.captures_iter(text) { + let m = caps.get(0).expect("full match"); + phrases.push((m.as_str().to_string(), m.start(), m.len())); + } + + // last/next weekday + for caps in RELATIVE_WEEKDAY_PATTERN.captures_iter(text) { + let m = caps.get(0).expect("full match"); + phrases.push((m.as_str().to_string(), m.start(), m.len())); + } + + // Sort by position + phrases.sort_by_key(|(_, pos, _)| *pos); + + phrases +} + +/// Resolve a relative phrase to an absolute date using an anchor +#[must_use] +pub fn resolve_relative_phrase(phrase: &str, anchor: NaiveDate) -> Option { + let lower = phrase.to_lowercase(); + + // Relative year + if lower.contains("last year") { + return Some(ResolvedTemporal::Year(anchor.year() - 1)); + } + if lower.contains("this year") { + return Some(ResolvedTemporal::Year(anchor.year())); + } + if lower.contains("next year") { + return Some(ResolvedTemporal::Year(anchor.year() + 1)); + } + + // Relative month + if lower.contains("last month") { + let (y, m) = if anchor.month() == 1 { + (anchor.year() - 1, 12) + } else { + (anchor.year(), anchor.month() - 1) + }; + return Some(ResolvedTemporal::Month { year: y, month: m }); + } + if lower.contains("this month") { + return Some(ResolvedTemporal::Month { + year: anchor.year(), + month: anchor.month(), + }); + } + if lower.contains("next month") { + let (y, m) = if anchor.month() == 12 { + (anchor.year() + 1, 1) + } else { + (anchor.year(), anchor.month() + 1) + }; + return Some(ResolvedTemporal::Month { year: y, month: m }); + } + + // Relative week - return date range + if lower.contains("last week") { + let start = + anchor - chrono::Duration::days(7 + anchor.weekday().num_days_from_monday() as i64); + let end = start + chrono::Duration::days(6); + return Some(ResolvedTemporal::DateRange { start, end }); + } + if lower.contains("this week") { + let start = anchor - chrono::Duration::days(anchor.weekday().num_days_from_monday() as i64); + let end = start + chrono::Duration::days(6); + return Some(ResolvedTemporal::DateRange { start, end }); + } + if lower.contains("next week") { + let start = + anchor + chrono::Duration::days(7 - anchor.weekday().num_days_from_monday() as i64); + let end = start + chrono::Duration::days(6); + return Some(ResolvedTemporal::DateRange { start, end }); + } + + // yesterday/today/tomorrow + if lower == "yesterday" { + return Some(ResolvedTemporal::Date(anchor - chrono::Duration::days(1))); + } + if lower == "today" { + return Some(ResolvedTemporal::Date(anchor)); + } + if lower == "tomorrow" { + return Some(ResolvedTemporal::Date(anchor + chrono::Duration::days(1))); + } + + // N units ago + if let Some(caps) = AGO_PATTERN.captures(&lower) { + let count = parse_number_word(&caps[1])?; + let unit = &caps[2]; + + return match unit { + u if u.starts_with("day") => Some(ResolvedTemporal::Date( + anchor - chrono::Duration::days(count as i64), + )), + u if u.starts_with("week") => Some(ResolvedTemporal::Date( + anchor - chrono::Duration::weeks(count as i64), + )), + u if u.starts_with("month") => { + let total_months = anchor.year() * 12 + anchor.month() as i32 - count; + let new_year = (total_months - 1) / 12; + let new_month = ((total_months - 1) % 12 + 1) as u32; + NaiveDate::from_ymd_opt(new_year, new_month, anchor.day().min(28)) + .map(ResolvedTemporal::Date) + } + u if u.starts_with("year") => Some(ResolvedTemporal::Year(anchor.year() - count)), + _ => None, + }; + } + + // in N units + if let Some(caps) = IN_FUTURE_PATTERN.captures(&lower) { + let count = parse_number_word(&caps[1])?; + let unit = &caps[2]; + + return match unit { + u if u.starts_with("day") => Some(ResolvedTemporal::Date( + anchor + chrono::Duration::days(count as i64), + )), + u if u.starts_with("week") => Some(ResolvedTemporal::Date( + anchor + chrono::Duration::weeks(count as i64), + )), + u if u.starts_with("month") => { + let total_months = anchor.year() * 12 + anchor.month() as i32 + count; + let new_year = (total_months - 1) / 12; + let new_month = ((total_months - 1) % 12 + 1) as u32; + NaiveDate::from_ymd_opt(new_year, new_month, anchor.day().min(28)) + .map(ResolvedTemporal::Date) + } + u if u.starts_with("year") => Some(ResolvedTemporal::Year(anchor.year() + count)), + _ => None, + }; + } + + // Relative weekday (last Monday, next Friday, etc.) + if let Some(caps) = RELATIVE_WEEKDAY_PATTERN.captures(&lower) { + let direction = &caps[1]; + let weekday_name = &caps[2]; + + let target_weekday = match weekday_name.to_lowercase().as_str() { + "monday" => chrono::Weekday::Mon, + "tuesday" => chrono::Weekday::Tue, + "wednesday" => chrono::Weekday::Wed, + "thursday" => chrono::Weekday::Thu, + "friday" => chrono::Weekday::Fri, + "saturday" => chrono::Weekday::Sat, + "sunday" => chrono::Weekday::Sun, + _ => return None, + }; + + let current_weekday = anchor.weekday(); + let days_diff = (target_weekday.num_days_from_monday() as i64) + - (current_weekday.num_days_from_monday() as i64); + + let result_date = match direction.to_lowercase().as_str() { + "last" => { + let mut offset = days_diff; + if offset >= 0 { + offset -= 7; + } + anchor + chrono::Duration::days(offset) + } + "this" => anchor + chrono::Duration::days(days_diff), + "next" => { + let mut offset = days_diff; + if offset <= 0 { + offset += 7; + } + anchor + chrono::Duration::days(offset) + } + _ => return None, + }; + + return Some(ResolvedTemporal::Date(result_date)); + } + + None +} + +/// Enrich a chunk of text with temporal context +/// +/// This function: +/// 1. Detects any anchor dates in the text +/// 2. Finds all relative temporal phrases +/// 3. Resolves relative phrases using the anchor +/// 4. Generates a context block for embedding +#[must_use] +pub fn enrich_chunk(text: &str, tracker: &mut TemporalAnchorTracker) -> TemporalEnrichment { + let mut result = TemporalEnrichment::default(); + + // Process each line to detect anchors + let mut char_offset = 0; + for line in text.lines() { + if let Some(anchor_info) = tracker.process_line(line, char_offset) { + result.anchor = Some(anchor_info); + } + char_offset += line.len() + 1; // +1 for newline + } + + // If no anchor in this chunk, inherit from tracker + if result.anchor.is_none() { + result.anchor = tracker.anchor_info(); + } + + // Detect relative phrases + let phrases = detect_relative_phrases(text); + + // Resolve phrases if we have an anchor + if let Some(ref anchor_info) = result.anchor { + for (phrase, offset, len) in phrases { + let resolved = resolve_relative_phrase(&phrase, anchor_info.date); + result.relative_phrases.push(RelativePhrase { + phrase, + char_offset: offset, + length: len, + resolved, + }); + } + } else { + // No anchor, can't resolve + for (phrase, offset, len) in phrases { + result.relative_phrases.push(RelativePhrase { + phrase, + char_offset: offset, + length: len, + resolved: None, + }); + } + } + + // Generate context block if we have resolutions + let resolved_phrases: Vec<_> = result + .relative_phrases + .iter() + .filter_map(|p| p.resolved.as_ref().map(|r| (p.phrase.clone(), r.clone()))) + .collect(); + + if !resolved_phrases.is_empty() { + let mut context_parts = Vec::new(); + + if let Some(ref anchor) = result.anchor { + context_parts.push(format!( + "Document date context: {}", + anchor.date.format("%B %d, %Y") + )); + } + + context_parts.push("Temporal references:".to_string()); + for (phrase, resolved) in &resolved_phrases { + context_parts.push(format!( + "- \"{}\" refers to {}", + phrase, + resolved.to_display_string() + )); + } + + result.context_block = Some(context_parts.join(" ")); + } + + result +} + +/// Enrich a full document, returning enriched text with context blocks +#[must_use] +pub fn enrich_document(text: &str, document_date: Option) -> String { + let mut tracker = match document_date { + Some(date) => TemporalAnchorTracker::with_document_date(date), + None => TemporalAnchorTracker::new(), + }; + + let enrichment = enrich_chunk(text, &mut tracker); + + // Append context block to text if we have temporal resolutions + if let Some(context) = enrichment.context_block { + format!("{text}\n\n[Temporal Context: {context}]") + } else { + text.to_string() + } +} + +/// Batch enrich multiple chunks, maintaining anchor state across chunks +pub fn enrich_chunks( + chunks: &[String], + document_date: Option, +) -> Vec<(String, TemporalEnrichment)> { + let mut tracker = match document_date { + Some(date) => TemporalAnchorTracker::with_document_date(date), + None => TemporalAnchorTracker::new(), + }; + + chunks + .iter() + .map(|chunk| { + let enrichment = enrich_chunk(chunk, &mut tracker); + let enriched_text = if let Some(ref context) = enrichment.context_block { + format!("{chunk}\n\n[Temporal Context: {context}]") + } else { + chunk.clone() + }; + (enriched_text, enrichment) + }) + .collect() +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_anchor_detection_session_header() { + let mut tracker = TemporalAnchorTracker::new(); + let line = "=== Session 5 (May 7, 2023) ==="; + let info = tracker.process_line(line, 0); + assert!(info.is_some()); + let info = info.expect("anchor info"); + assert_eq!( + info.date, + NaiveDate::from_ymd_opt(2023, 5, 7).expect("valid date") + ); + assert_eq!(info.source, AnchorSource::ExplicitHeader); + } + + #[test] + fn test_anchor_detection_iso_date() { + let mut tracker = TemporalAnchorTracker::new(); + let line = "Event occurred on 2023-05-07 at noon."; + let info = tracker.process_line(line, 0); + assert!(info.is_some()); + let info = info.expect("anchor info"); + assert_eq!( + info.date, + NaiveDate::from_ymd_opt(2023, 5, 7).expect("valid date") + ); + } + + #[test] + fn test_relative_phrase_detection() { + let text = "I did this last year. We'll meet next week. Two days ago was fun."; + let phrases = detect_relative_phrases(text); + assert_eq!(phrases.len(), 3); + assert_eq!(phrases[0].0, "last year"); + assert_eq!(phrases[1].0, "next week"); + assert_eq!(phrases[2].0, "Two days ago"); + } + + #[test] + fn test_resolve_last_year() { + let anchor = NaiveDate::from_ymd_opt(2023, 5, 7).expect("valid date"); + let resolved = resolve_relative_phrase("last year", anchor); + assert!(resolved.is_some()); + if let Some(ResolvedTemporal::Year(y)) = resolved { + assert_eq!(y, 2022); + } else { + panic!("Expected Year resolution"); + } + } + + #[test] + fn test_resolve_last_week() { + let anchor = NaiveDate::from_ymd_opt(2023, 5, 10).expect("valid date"); // Wednesday + let resolved = resolve_relative_phrase("last week", anchor); + assert!(resolved.is_some()); + if let Some(ResolvedTemporal::DateRange { start, end }) = resolved { + assert_eq!( + start, + NaiveDate::from_ymd_opt(2023, 5, 1).expect("valid date") + ); // Previous Monday + assert_eq!( + end, + NaiveDate::from_ymd_opt(2023, 5, 7).expect("valid date") + ); // Previous Sunday + } else { + panic!("Expected DateRange resolution"); + } + } + + #[test] + fn test_enrich_chunk() { + let mut tracker = TemporalAnchorTracker::new(); + let text = "=== Session 1 (May 7, 2023) ===\n\nI painted a sunrise last year."; + let enrichment = enrich_chunk(text, &mut tracker); + + assert!(enrichment.anchor.is_some()); + assert_eq!(enrichment.relative_phrases.len(), 1); + assert!(enrichment.relative_phrases[0].resolved.is_some()); + assert!(enrichment.context_block.is_some()); + + let context = enrichment.context_block.as_ref().expect("context"); + assert!(context.contains("2022")); + } + + #[test] + fn test_enrich_document() { + let text = "Session 1 (May 7, 2023)\n\nMelanie: I painted a sunrise last year."; + let enriched = enrich_document(text, None); + assert!(enriched.contains("[Temporal Context:")); + assert!(enriched.contains("2022")); + } + + #[test] + fn test_anchor_propagation() { + let chunks = vec![ + "Session 1 (May 7, 2023)\n\nHello!".to_string(), + "This happened last year.".to_string(), // Should inherit anchor + ]; + let results = enrich_chunks(&chunks, None); + + // Second chunk should have resolution because anchor propagated + assert!(results[1].1.anchor.is_some()); + assert!(!results[1].1.relative_phrases.is_empty()); + assert!(results[1].1.relative_phrases[0].resolved.is_some()); + } +} diff --git a/src/api_embed.rs b/src/api_embed.rs new file mode 100644 index 0000000..bb35262 --- /dev/null +++ b/src/api_embed.rs @@ -0,0 +1,596 @@ +//! API-based embedding providers (OpenAI, Anthropic, etc.) +//! +//! This module provides cloud API embedding generation, enabling semantic search +//! using external embedding services. Requires the `api_embed` feature. +//! +//! # Example +//! +//! ```ignore +//! use memvid_core::api_embed::{OpenAIConfig, OpenAIEmbedder}; +//! use memvid_core::types::embedding::EmbeddingProvider; +//! +//! // Requires OPENAI_API_KEY environment variable +//! let config = OpenAIConfig::default(); +//! let embedder = OpenAIEmbedder::new(config)?; +//! +//! let embedding = embedder.embed_text("Hello, world!")?; +//! println!("Embedding dimension: {}", embedding.len()); +//! ``` + +use crate::error::{MemvidError, Result}; +use crate::types::embedding::EmbeddingProvider; +use reqwest::blocking::Client; +use reqwest::header::{AUTHORIZATION, CONTENT_TYPE, HeaderMap, HeaderValue}; +use serde::{Deserialize, Serialize}; +use std::time::Duration; + +// ============================================================================ +// OpenAI Models Registry +// ============================================================================ + +/// OpenAI embedding model information +#[derive(Debug, Clone)] +pub struct OpenAIModelInfo { + /// Model identifier (e.g., "text-embedding-3-small") + pub name: &'static str, + /// Output embedding dimension + pub dimension: usize, + /// Maximum input tokens + pub max_tokens: usize, + /// Maximum texts per batch request + pub max_batch_size: usize, + /// Whether this is the default model + pub is_default: bool, +} + +/// Available OpenAI embedding models +pub static OPENAI_MODELS: &[OpenAIModelInfo] = &[ + OpenAIModelInfo { + name: "text-embedding-3-small", + dimension: 1536, + max_tokens: 8191, + max_batch_size: 2048, + is_default: true, + }, + OpenAIModelInfo { + name: "text-embedding-3-large", + dimension: 3072, + max_tokens: 8191, + max_batch_size: 2048, + is_default: false, + }, + OpenAIModelInfo { + name: "text-embedding-ada-002", + dimension: 1536, + max_tokens: 8191, + max_batch_size: 2048, + is_default: false, + }, +]; + +/// Get model info by name, defaults to text-embedding-3-small +#[must_use] +pub fn get_openai_model_info(name: &str) -> &'static OpenAIModelInfo { + OPENAI_MODELS + .iter() + .find(|m| m.name == name) + .unwrap_or_else(|| OPENAI_MODELS.iter().find(|m| m.is_default).unwrap()) +} + +/// Get the default model info +#[must_use] +pub fn default_openai_model_info() -> &'static OpenAIModelInfo { + OPENAI_MODELS.iter().find(|m| m.is_default).unwrap() +} + +// ============================================================================ +// Configuration +// ============================================================================ + +/// Configuration for OpenAI embedding provider +#[derive(Debug, Clone)] +pub struct OpenAIConfig { + /// Model name (e.g., "text-embedding-3-small") + pub model: String, + /// Environment variable name for API key (default: "OPENAI_API_KEY") + pub api_key_env: String, + /// Custom API base URL (for Azure OpenAI, proxies, etc.) + /// Default: "https://api.openai.com/v1" + pub base_url: String, + /// Request timeout in seconds + pub timeout_secs: u64, + /// Maximum retries on rate limit (429) errors + pub max_retries: u32, + /// Initial backoff in milliseconds for exponential retry + pub initial_backoff_ms: u64, +} + +impl Default for OpenAIConfig { + fn default() -> Self { + Self { + model: "text-embedding-3-small".to_string(), + api_key_env: "OPENAI_API_KEY".to_string(), + base_url: "https://api.openai.com/v1".to_string(), + timeout_secs: 30, + max_retries: 3, + initial_backoff_ms: 1000, + } + } +} + +impl OpenAIConfig { + /// Create config for text-embedding-3-small (default, fastest) + #[must_use] + pub fn small() -> Self { + Self::default() + } + + /// Create config for text-embedding-3-large (highest quality) + #[must_use] + pub fn large() -> Self { + Self { + model: "text-embedding-3-large".to_string(), + ..Default::default() + } + } + + /// Create config for text-embedding-ada-002 (legacy) + #[must_use] + pub fn ada() -> Self { + Self { + model: "text-embedding-ada-002".to_string(), + ..Default::default() + } + } + + /// Set custom base URL (for Azure OpenAI or proxies) + #[must_use] + pub fn with_base_url(mut self, url: impl Into) -> Self { + self.base_url = url.into(); + self + } + + /// Set custom API key environment variable name + #[must_use] + pub fn with_api_key_env(mut self, env_var: impl Into) -> Self { + self.api_key_env = env_var.into(); + self + } + + /// Set request timeout + #[must_use] + pub fn with_timeout(mut self, secs: u64) -> Self { + self.timeout_secs = secs; + self + } +} + +// ============================================================================ +// API Request/Response Types +// ============================================================================ + +#[derive(Serialize)] +struct EmbeddingRequest<'a> { + model: &'a str, + input: Vec<&'a str>, + encoding_format: &'a str, +} + +#[derive(Deserialize)] +struct EmbeddingResponse { + data: Vec, + #[allow(dead_code)] + usage: Usage, +} + +#[derive(Deserialize)] +struct EmbeddingData { + embedding: Vec, + #[allow(dead_code)] + index: usize, +} + +#[derive(Deserialize)] +struct Usage { + #[allow(dead_code)] + prompt_tokens: usize, + #[allow(dead_code)] + total_tokens: usize, +} + +#[derive(Deserialize)] +struct ApiError { + error: ApiErrorDetail, +} + +#[derive(Deserialize)] +struct ApiErrorDetail { + message: String, + #[serde(rename = "type")] + error_type: Option, +} + +// ============================================================================ +// OpenAI Embedder +// ============================================================================ + +/// OpenAI embedding provider +/// +/// Generates embeddings using OpenAI's embedding API. Requires the `OPENAI_API_KEY` +/// environment variable to be set (or a custom env var via config). +/// +/// # Example +/// +/// ```ignore +/// use memvid_core::api_embed::{OpenAIConfig, OpenAIEmbedder}; +/// use memvid_core::types::embedding::EmbeddingProvider; +/// +/// let embedder = OpenAIEmbedder::new(OpenAIConfig::default())?; +/// let embedding = embedder.embed_text("Hello, world!")?; +/// ``` +pub struct OpenAIEmbedder { + config: OpenAIConfig, + model_info: &'static OpenAIModelInfo, + client: Client, + api_key: String, +} + +impl OpenAIEmbedder { + /// Create a new OpenAI embedder + /// + /// Reads the API key from the environment variable specified in config. + /// Returns an error if the API key is not set. + pub fn new(config: OpenAIConfig) -> Result { + let api_key = + std::env::var(&config.api_key_env).map_err(|_| MemvidError::EmbeddingFailed { + reason: format!( + "API key not found. Set the {} environment variable.", + config.api_key_env + ) + .into(), + })?; + + if api_key.is_empty() { + return Err(MemvidError::EmbeddingFailed { + reason: format!("{} environment variable is empty", config.api_key_env).into(), + }); + } + + let model_info = get_openai_model_info(&config.model); + + let client = Client::builder() + .timeout(Duration::from_secs(config.timeout_secs)) + .build() + .map_err(|e| MemvidError::EmbeddingFailed { + reason: format!("Failed to create HTTP client: {}", e).into(), + })?; + + tracing::info!( + model = %model_info.name, + dimension = model_info.dimension, + "OpenAI embedder initialized" + ); + + Ok(Self { + config, + model_info, + client, + api_key, + }) + } + + /// Get model info + #[must_use] + pub fn model_info(&self) -> &'static OpenAIModelInfo { + self.model_info + } + + /// Make an embedding request with retry logic + fn request_embeddings(&self, texts: &[&str]) -> Result>> { + let url = format!("{}/embeddings", self.config.base_url); + + let request_body = EmbeddingRequest { + model: &self.config.model, + input: texts.to_vec(), + encoding_format: "float", + }; + + let mut headers = HeaderMap::new(); + headers.insert(CONTENT_TYPE, HeaderValue::from_static("application/json")); + headers.insert( + AUTHORIZATION, + HeaderValue::from_str(&format!("Bearer {}", self.api_key)).map_err(|_| { + MemvidError::EmbeddingFailed { + reason: "Invalid API key format".into(), + } + })?, + ); + + let mut backoff_ms = self.config.initial_backoff_ms; + let mut last_error = None; + + for attempt in 0..=self.config.max_retries { + if attempt > 0 { + tracing::warn!( + attempt = attempt, + backoff_ms = backoff_ms, + "Retrying OpenAI request after rate limit" + ); + std::thread::sleep(Duration::from_millis(backoff_ms)); + backoff_ms *= 2; // Exponential backoff + } + + let response = self + .client + .post(&url) + .headers(headers.clone()) + .json(&request_body) + .send(); + + match response { + Ok(resp) => { + let status = resp.status(); + + if status.is_success() { + let embedding_response: EmbeddingResponse = + resp.json().map_err(|e| MemvidError::EmbeddingFailed { + reason: format!("Failed to parse response: {}", e).into(), + })?; + + // Sort by index to ensure correct order + let mut data = embedding_response.data; + data.sort_by_key(|d| d.index); + + let embeddings: Vec> = + data.into_iter().map(|d| d.embedding).collect(); + + tracing::debug!( + texts = texts.len(), + dimension = embeddings.first().map(|e| e.len()).unwrap_or(0), + "Generated OpenAI embeddings" + ); + + return Ok(embeddings); + } + + // Handle rate limiting + if status.as_u16() == 429 { + last_error = Some(MemvidError::EmbeddingFailed { + reason: "Rate limit exceeded".into(), + }); + continue; + } + + // Parse error response + let error_text = resp.text().unwrap_or_default(); + let error_msg = + if let Ok(api_error) = serde_json::from_str::(&error_text) { + format!( + "OpenAI API error ({}): {}", + api_error.error.error_type.unwrap_or_default(), + api_error.error.message + ) + } else { + format!("OpenAI API error ({}): {}", status, error_text) + }; + + return Err(MemvidError::EmbeddingFailed { + reason: error_msg.into(), + }); + } + Err(e) => { + // Network error - might be transient + last_error = Some(MemvidError::EmbeddingFailed { + reason: format!("Request failed: {}", e).into(), + }); + + if e.is_timeout() || e.is_connect() { + continue; // Retry on timeout or connection errors + } + + return Err(last_error.unwrap()); + } + } + } + + // All retries exhausted + Err(last_error.unwrap_or_else(|| MemvidError::EmbeddingFailed { + reason: "Max retries exceeded".into(), + })) + } +} + +impl std::fmt::Debug for OpenAIEmbedder { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + f.debug_struct("OpenAIEmbedder") + .field("config", &self.config) + .field("model_info", &self.model_info) + .field("api_key", &"[REDACTED]") + .finish() + } +} + +// ============================================================================ +// EmbeddingProvider Implementation +// ============================================================================ + +impl EmbeddingProvider for OpenAIEmbedder { + fn kind(&self) -> &str { + "openai" + } + + fn model(&self) -> &str { + self.model_info.name + } + + fn dimension(&self) -> usize { + self.model_info.dimension + } + + fn embed_text(&self, text: &str) -> Result> { + let embeddings = self.request_embeddings(&[text])?; + embeddings + .into_iter() + .next() + .ok_or_else(|| MemvidError::EmbeddingFailed { + reason: "No embedding returned".into(), + }) + } + + fn embed_batch(&self, texts: &[&str]) -> Result>> { + if texts.is_empty() { + return Ok(Vec::new()); + } + + // Split into chunks respecting API batch size limit + let max_batch = self.model_info.max_batch_size; + let mut all_embeddings = Vec::with_capacity(texts.len()); + + for chunk in texts.chunks(max_batch) { + let chunk_embeddings = self.request_embeddings(chunk)?; + all_embeddings.extend(chunk_embeddings); + } + + Ok(all_embeddings) + } + + fn is_ready(&self) -> bool { + // We have an API key, so we're ready + !self.api_key.is_empty() + } +} + +// ============================================================================ +// Tests +// ============================================================================ + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_model_registry() { + assert_eq!(OPENAI_MODELS.len(), 3); + + let default = default_openai_model_info(); + assert_eq!(default.name, "text-embedding-3-small"); + assert_eq!(default.dimension, 1536); + assert!(default.is_default); + } + + #[test] + fn test_get_model_info() { + let small = get_openai_model_info("text-embedding-3-small"); + assert_eq!(small.dimension, 1536); + + let large = get_openai_model_info("text-embedding-3-large"); + assert_eq!(large.dimension, 3072); + + let ada = get_openai_model_info("text-embedding-ada-002"); + assert_eq!(ada.dimension, 1536); + + // Unknown model should return default + let unknown = get_openai_model_info("unknown-model"); + assert_eq!(unknown.name, "text-embedding-3-small"); + } + + #[test] + fn test_config_defaults() { + let config = OpenAIConfig::default(); + assert_eq!(config.model, "text-embedding-3-small"); + assert_eq!(config.api_key_env, "OPENAI_API_KEY"); + assert_eq!(config.base_url, "https://api.openai.com/v1"); + assert_eq!(config.timeout_secs, 30); + assert_eq!(config.max_retries, 3); + } + + #[test] + fn test_config_builders() { + let small = OpenAIConfig::small(); + assert_eq!(small.model, "text-embedding-3-small"); + + let large = OpenAIConfig::large(); + assert_eq!(large.model, "text-embedding-3-large"); + + let ada = OpenAIConfig::ada(); + assert_eq!(ada.model, "text-embedding-ada-002"); + } + + #[test] + fn test_config_with_methods() { + let config = OpenAIConfig::default() + .with_base_url("https://custom.api.com") + .with_api_key_env("MY_API_KEY") + .with_timeout(60); + + assert_eq!(config.base_url, "https://custom.api.com"); + assert_eq!(config.api_key_env, "MY_API_KEY"); + assert_eq!(config.timeout_secs, 60); + } + + #[test] + fn test_embedder_requires_api_key() { + // Use a custom env var name that doesn't exist + let config = OpenAIConfig::default().with_api_key_env("NONEXISTENT_API_KEY_12345"); + let result = OpenAIEmbedder::new(config); + assert!(result.is_err()); + + let err_msg = format!("{:?}", result.unwrap_err()); + assert!(err_msg.contains("NONEXISTENT_API_KEY_12345")); + } + + #[test] + fn test_embedder_validates_config() { + // Test that config with custom env var works correctly + let config = OpenAIConfig::default() + .with_api_key_env("CUSTOM_KEY_VAR") + .with_base_url("https://custom.openai.com/v1"); + + assert_eq!(config.api_key_env, "CUSTOM_KEY_VAR"); + assert_eq!(config.base_url, "https://custom.openai.com/v1"); + + // Creating embedder should fail since CUSTOM_KEY_VAR is not set + let result = OpenAIEmbedder::new(config); + assert!(result.is_err()); + } + + /// Integration test - requires OPENAI_API_KEY to be set + /// Run with: cargo test --features api_embed test_openai_integration -- --ignored + #[test] + #[ignore] + fn test_openai_integration() { + let config = OpenAIConfig::default(); + let embedder = OpenAIEmbedder::new(config).expect("Failed to create embedder"); + + // Test single embedding + let embedding = embedder + .embed_text("Hello, world!") + .expect("Failed to embed text"); + assert_eq!(embedding.len(), 1536); + + // Test batch embedding + let texts = vec!["Hello", "World", "Test"]; + let embeddings = embedder.embed_batch(&texts).expect("Failed to batch embed"); + assert_eq!(embeddings.len(), 3); + assert!(embeddings.iter().all(|e| e.len() == 1536)); + + // Test EmbeddingProvider trait + assert_eq!(embedder.kind(), "openai"); + assert_eq!(embedder.model(), "text-embedding-3-small"); + assert_eq!(embedder.dimension(), 1536); + assert!(embedder.is_ready()); + } + + /// Integration test with text-embedding-3-large + #[test] + #[ignore] + fn test_openai_large_integration() { + let config = OpenAIConfig::large(); + let embedder = OpenAIEmbedder::new(config).expect("Failed to create embedder"); + + let embedding = embedder + .embed_text("Test with large model") + .expect("Failed to embed text"); + assert_eq!(embedding.len(), 3072); + } +} diff --git a/src/clip.rs b/src/clip.rs new file mode 100644 index 0000000..f78d31b --- /dev/null +++ b/src/clip.rs @@ -0,0 +1,1754 @@ +// Safe expect: Static CLIP model lookup with guaranteed default. +#![allow(clippy::unwrap_used, clippy::expect_used)] +//! CLIP (Contrastive Language-Image Pre-training) visual embeddings module. +//! +//! This module provides visual understanding capabilities using MobileCLIP-S2, +//! enabling semantic search across images and PDF pages with natural language queries. +//! +//! # Design Philosophy +//! +//! - **Synchronous with Parallelism**: CLIP runs in parallel with text embedding via rayon. +//! Since CLIP (~25ms) is faster than text embedding (~200-500ms), it adds zero latency. +//! - **Separate Index**: CLIP embeddings (512 dims) are stored in a separate index from +//! text embeddings (384/768/1536 dims) because dimensions must match within an index. +//! - **Auto-detection**: Images and PDFs with images are automatically processed without flags. +//! - **Graceful Degradation**: Works without CLIP, just loses visual search capability. + +use blake3::hash; +#[cfg(feature = "clip")] +use image::DynamicImage; +#[cfg(all(feature = "clip", not(feature = "pdfium")))] +use image::{ImageBuffer, Luma, Rgb}; +#[cfg(all(feature = "clip", not(feature = "pdfium")))] +use lopdf::{Dictionary, Document, Object, ObjectId}; +use serde::{Deserialize, Serialize}; +use std::borrow::Cow; +#[cfg(all(feature = "clip", not(feature = "pdfium")))] +use std::collections::HashSet; +use std::path::{Path, PathBuf}; +use std::time::Duration; + +use crate::{MemvidError, Result, types::FrameId}; + +// ============================================================================ +// Stderr Suppression for macOS +// ============================================================================ +// ONNX Runtime on macOS emits "Context leak detected, msgtracer returned -1" +// warnings from Apple's tracing infrastructure. These are harmless but noisy. + +#[cfg(all(feature = "clip", target_os = "macos"))] +mod stderr_suppress { + use std::fs::File; + use std::io; + use std::os::unix::io::{AsRawFd, RawFd}; + + pub struct StderrSuppressor { + original_stderr: RawFd, + #[allow(dead_code)] + dev_null: File, + } + + impl StderrSuppressor { + pub fn new() -> io::Result { + let dev_null = File::open("/dev/null")?; + let original_stderr = unsafe { libc::dup(2) }; + if original_stderr == -1 { + return Err(io::Error::last_os_error()); + } + let result = unsafe { libc::dup2(dev_null.as_raw_fd(), 2) }; + if result == -1 { + unsafe { libc::close(original_stderr) }; + return Err(io::Error::last_os_error()); + } + Ok(Self { + original_stderr, + dev_null, + }) + } + } + + impl Drop for StderrSuppressor { + fn drop(&mut self) { + unsafe { + libc::dup2(self.original_stderr, 2); + libc::close(self.original_stderr); + } + } + } +} + +#[cfg(all(feature = "clip", not(target_os = "macos")))] +mod stderr_suppress { + pub struct StderrSuppressor; + impl StderrSuppressor { + pub fn new() -> std::io::Result { + Ok(Self) + } + } +} + +// ============================================================================ +// Configuration Constants +// ============================================================================ + +/// CLIP index decode limit (512MB max) +#[allow(clippy::cast_possible_truncation)] +const CLIP_DECODE_LIMIT: usize = crate::MAX_INDEX_BYTES as usize; + +/// MobileCLIP-S2 embedding dimensions +pub const MOBILECLIP_DIMS: u32 = 512; + +/// SigLIP-base embedding dimensions +pub const SIGLIP_DIMS: u32 = 768; + +/// Default input resolution for MobileCLIP-S2 +pub const MOBILECLIP_INPUT_SIZE: u32 = 256; + +/// Default input resolution for `SigLIP` +pub const SIGLIP_INPUT_SIZE: u32 = 224; + +/// Minimum image dimension to process (skip icons, bullets) +pub const MIN_IMAGE_DIM: u32 = 64; + +/// Maximum aspect ratio deviation from 1:1 (skip dividers, lines) +pub const MAX_ASPECT_RATIO: f32 = 10.0; + +/// Minimum color variance threshold (skip solid backgrounds) +pub const MIN_COLOR_VARIANCE: f32 = 0.01; + +/// Model unload timeout (5 minutes idle) +pub const MODEL_UNLOAD_TIMEOUT: Duration = Duration::from_secs(300); + +// ============================================================================ +// Bincode Configuration +// ============================================================================ + +fn clip_config() -> impl bincode::config::Config { + bincode::config::standard() + .with_fixed_int_encoding() + .with_little_endian() +} + +// ============================================================================ +// Model Registry +// ============================================================================ + +/// Available CLIP models with verified `HuggingFace` URLs +#[derive(Debug, Clone)] +pub struct ClipModelInfo { + /// Model identifier + pub name: &'static str, + /// URL for vision encoder ONNX model + pub vision_url: &'static str, + /// URL for text encoder ONNX model + pub text_url: &'static str, + /// URL for tokenizer JSON (BPE) + pub tokenizer_url: &'static str, + /// Vision model size in MB + pub vision_size_mb: f32, + /// Text model size in MB + pub text_size_mb: f32, + /// Output embedding dimensions + pub dims: u32, + /// Input image resolution + pub input_resolution: u32, + /// Whether this is the default model + pub is_default: bool, +} + +/// Available CLIP models registry +pub static CLIP_MODELS: &[ClipModelInfo] = &[ + // MobileCLIP-S2 int8 quantized (smallest, but requires INT8 ONNX support) + // Note: INT8 quantized models don't work on all platforms (ConvInteger not supported) + ClipModelInfo { + name: "mobileclip-s2-int8", + vision_url: "https://huggingface.co/Xenova/mobileclip_s2/resolve/main/onnx/vision_model_int8.onnx", + text_url: "https://huggingface.co/Xenova/mobileclip_s2/resolve/main/onnx/text_model_int8.onnx", + tokenizer_url: "https://huggingface.co/Xenova/mobileclip_s2/resolve/main/tokenizer.json", + vision_size_mb: 36.7, + text_size_mb: 64.1, + dims: MOBILECLIP_DIMS, + input_resolution: MOBILECLIP_INPUT_SIZE, + is_default: false, + }, + // Alternative: SigLIP-base quantized (higher quality, but may have INT8 issues) + ClipModelInfo { + name: "siglip-base", + vision_url: "https://huggingface.co/Xenova/siglip-base-patch16-224/resolve/main/onnx/vision_model_quantized.onnx", + text_url: "https://huggingface.co/Xenova/siglip-base-patch16-224/resolve/main/onnx/text_model_quantized.onnx", + tokenizer_url: "https://huggingface.co/Xenova/siglip-base-patch16-224/resolve/main/tokenizer.json", + vision_size_mb: 99.5, + text_size_mb: 111.0, + dims: SIGLIP_DIMS, + input_resolution: SIGLIP_INPUT_SIZE, + is_default: false, + }, + // Default: MobileCLIP-S2 fp16 (works on all platforms, good balance of size/quality) + ClipModelInfo { + name: "mobileclip-s2", + vision_url: "https://huggingface.co/Xenova/mobileclip_s2/resolve/main/onnx/vision_model_fp16.onnx", + text_url: "https://huggingface.co/Xenova/mobileclip_s2/resolve/main/onnx/text_model_fp16.onnx", + tokenizer_url: "https://huggingface.co/Xenova/mobileclip_s2/resolve/main/tokenizer.json", + vision_size_mb: 71.7, + text_size_mb: 127.0, + dims: MOBILECLIP_DIMS, + input_resolution: MOBILECLIP_INPUT_SIZE, + is_default: true, + }, +]; + +/// Get model info by name, defaults to mobileclip-s2 +#[must_use] +pub fn get_model_info(name: &str) -> &'static ClipModelInfo { + CLIP_MODELS + .iter() + .find(|m| m.name == name) + .unwrap_or_else(|| { + CLIP_MODELS + .iter() + .find(|m| m.is_default) + .expect("default model") + }) +} + +/// Get the default model info +#[must_use] +pub fn default_model_info() -> &'static ClipModelInfo { + CLIP_MODELS + .iter() + .find(|m| m.is_default) + .expect("default model exists") +} + +// ============================================================================ +// CLIP Document and Index Types (mirrors vec.rs pattern) +// ============================================================================ + +/// A document with CLIP embedding stored in the index +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct ClipDocument { + /// Frame ID this embedding belongs to + pub frame_id: FrameId, + /// CLIP embedding vector (512 or 768 dims depending on model) + pub embedding: Vec, + /// Optional page number (for PDFs) + #[serde(default)] + pub page: Option, +} + +/// Builder for constructing CLIP index artifacts +#[derive(Default)] +pub struct ClipIndexBuilder { + documents: Vec, +} + +impl ClipIndexBuilder { + #[must_use] + pub fn new() -> Self { + Self::default() + } + + /// Add a document with its CLIP embedding + pub fn add_document(&mut self, frame_id: FrameId, page: Option, embedding: I) + where + I: Into>, + { + self.documents.push(ClipDocument { + frame_id, + embedding: embedding.into(), + page, + }); + } + + /// Finish building and produce the index artifact + pub fn finish(self) -> Result { + let bytes = bincode::serde::encode_to_vec(&self.documents, clip_config())?; + + let checksum = *hash(&bytes).as_bytes(); + let dimension = self + .documents + .first() + .map_or(0, |doc| u32::try_from(doc.embedding.len()).unwrap_or(0)); + + Ok(ClipIndexArtifact { + bytes, + vector_count: self.documents.len() as u64, + dimension, + checksum, + }) + } +} + +/// Artifact produced by the CLIP index builder +#[derive(Debug, Clone)] +pub struct ClipIndexArtifact { + /// Serialized index bytes + pub bytes: Vec, + /// Number of vectors in the index + pub vector_count: u64, + /// Embedding dimension (512 for `MobileCLIP`, 768 for `SigLIP`) + pub dimension: u32, + /// Blake3 checksum of the bytes + pub checksum: [u8; 32], +} + +/// In-memory CLIP index for similarity search +#[derive(Debug, Clone)] +pub struct ClipIndex { + documents: Vec, +} + +impl Default for ClipIndex { + fn default() -> Self { + Self::new() + } +} + +impl ClipIndex { + /// Create a new empty CLIP index + #[must_use] + pub fn new() -> Self { + Self { + documents: Vec::new(), + } + } + + /// Add a document with its CLIP embedding + pub fn add_document(&mut self, frame_id: FrameId, page: Option, embedding: I) + where + I: Into>, + { + self.documents.push(ClipDocument { + frame_id, + embedding: embedding.into(), + page, + }); + } + + /// Decode CLIP index from bytes + pub fn decode(bytes: &[u8]) -> Result { + let (documents, read) = bincode::serde::decode_from_slice::, _>( + bytes, + bincode::config::standard() + .with_fixed_int_encoding() + .with_little_endian() + .with_limit::(), + )?; + + if read != bytes.len() { + return Err(MemvidError::InvalidToc { + reason: Cow::Owned(format!( + "CLIP index decode: expected {} bytes, read {}", + bytes.len(), + read + )), + }); + } + + tracing::debug!( + bytes_len = bytes.len(), + docs_count = documents.len(), + "decoded CLIP index" + ); + + Ok(Self { documents }) + } + + /// Search for similar embeddings using L2 distance + #[must_use] + pub fn search(&self, query: &[f32], limit: usize) -> Vec { + if query.is_empty() { + return Vec::new(); + } + + let mut hits: Vec = self + .documents + .iter() + .map(|doc| { + let distance = l2_distance(query, &doc.embedding); + ClipSearchHit { + frame_id: doc.frame_id, + page: doc.page, + distance, + } + }) + .collect(); + + hits.sort_by(|a, b| { + a.distance + .partial_cmp(&b.distance) + .unwrap_or(std::cmp::Ordering::Equal) + }); + hits.truncate(limit); + hits + } + + /// Get all entries in the index + pub fn entries(&self) -> impl Iterator, &[f32])> + '_ { + self.documents + .iter() + .map(|doc| (doc.frame_id, doc.page, doc.embedding.as_slice())) + } + + /// Get embedding for a specific frame + #[must_use] + pub fn embedding_for(&self, frame_id: FrameId) -> Option<&[f32]> { + self.documents + .iter() + .find(|doc| doc.frame_id == frame_id) + .map(|doc| doc.embedding.as_slice()) + } + + /// Remove a document from the index + pub fn remove(&mut self, frame_id: FrameId) { + self.documents.retain(|doc| doc.frame_id != frame_id); + } + + /// Number of documents in the index + #[must_use] + pub fn len(&self) -> usize { + self.documents.len() + } + + /// Check if index is empty + #[must_use] + pub fn is_empty(&self) -> bool { + self.documents.is_empty() + } + + /// Encode the CLIP index to bytes and produce an artifact for persistence + pub fn encode(&self) -> Result { + let bytes = bincode::serde::encode_to_vec(&self.documents, clip_config())?; + + let checksum = *hash(&bytes).as_bytes(); + let dimension = self + .documents + .first() + .map_or(0, |doc| u32::try_from(doc.embedding.len()).unwrap_or(0)); + + Ok(ClipIndexArtifact { + bytes, + vector_count: self.documents.len() as u64, + dimension, + checksum, + }) + } +} + +/// Search result from CLIP index +#[derive(Debug, Clone, PartialEq)] +pub struct ClipSearchHit { + /// Frame ID of the matched document + pub frame_id: FrameId, + /// Optional page number (for PDFs) + pub page: Option, + /// L2 distance to query (lower is more similar) + pub distance: f32, +} + +/// L2 (Euclidean) distance between two vectors +fn l2_distance(a: &[f32], b: &[f32]) -> f32 { + a.iter() + .zip(b.iter()) + .map(|(x, y)| (x - y).powi(2)) + .sum::() + .sqrt() +} + +// ============================================================================ +// Image Filtering (Junk Detection) +// ============================================================================ + +/// Metadata about an image for filtering +#[derive(Debug, Clone)] +pub struct ImageInfo { + pub width: u32, + pub height: u32, + pub color_variance: f32, +} + +impl ImageInfo { + /// Check if this image should be processed for CLIP embedding + #[must_use] + pub fn should_embed(&self) -> bool { + // Skip tiny images (icons, bullets) + if self.width < MIN_IMAGE_DIM || self.height < MIN_IMAGE_DIM { + return false; + } + + // Skip extreme aspect ratios (dividers, lines) + let aspect = self.width as f32 / self.height as f32; + if !((1.0 / MAX_ASPECT_RATIO)..=MAX_ASPECT_RATIO).contains(&aspect) { + return false; + } + + // Skip near-solid colors (backgrounds, spacers) + if self.color_variance < MIN_COLOR_VARIANCE { + return false; + } + + true + } +} + +/// Filter a list of images, keeping only those worth embedding +pub fn filter_junk_images(images: Vec, get_info: F) -> Vec +where + F: Fn(&T) -> ImageInfo, +{ + images + .into_iter() + .filter(|img| get_info(img).should_embed()) + .collect() +} + +// ============================================================================ +// CLIP Model Configuration +// ============================================================================ + +/// Configuration for CLIP model initialization +#[derive(Debug, Clone)] +pub struct ClipConfig { + /// Model name (e.g., "mobileclip-s2", "siglip-base") + pub model_name: String, + /// Directory where models are cached + pub models_dir: PathBuf, + /// Whether to run in offline mode (no downloads) + pub offline: bool, +} + +impl Default for ClipConfig { + fn default() -> Self { + // Use ~/.memvid/models as default, consistent with CLI's model installation + let models_dir = std::env::var("MEMVID_MODELS_DIR") + .ok() + .map(PathBuf::from) + .or_else(|| dirs_next::home_dir().map(|d| d.join(".memvid/models"))) + .unwrap_or_else(|| PathBuf::from(".memvid/models")); + + let model_name = + std::env::var("MEMVID_CLIP_MODEL").unwrap_or_else(|_| "mobileclip-s2".to_string()); + + let offline = std::env::var("MEMVID_OFFLINE").is_ok(); + + Self { + model_name, + models_dir, + offline, + } + } +} + +// ============================================================================ +// CLIP Error Types +// ============================================================================ + +/// CLIP-specific errors +#[derive(Debug, thiserror::Error)] +pub enum ClipError { + /// Model not found and offline mode enabled + #[error("CLIP model '{model}' not found. {hint}")] + ModelNotFound { model: String, hint: String }, + + /// Image decode failed + #[error("Failed to decode image at {path:?}: {cause}")] + ImageDecodeError { path: PathBuf, cause: String }, + + /// Image bytes decode failed + #[error("Failed to decode image bytes: {cause}")] + ImageBytesDecodeError { cause: String }, + + /// ONNX runtime error + #[error("CLIP inference error: {cause}")] + InferenceError { cause: String }, + + /// Model download failed + #[error("Failed to download CLIP model: {cause}")] + DownloadError { cause: String }, + + /// Model file corrupted or invalid + #[error("CLIP model file is corrupted: {cause}")] + ModelCorrupted { cause: String }, +} + +impl From for MemvidError { + fn from(err: ClipError) -> Self { + MemvidError::EmbeddingFailed { + reason: err.to_string().into_boxed_str(), + } + } +} + +// ============================================================================ +// CLIP Model (Feature-gated implementation) +// ============================================================================ + +#[cfg(feature = "clip")] +mod model { + use super::*; + use image::{DynamicImage, GenericImageView, imageops::FilterType}; + use ndarray::{Array, Array4}; + use ort::session::{Session, builder::GraphOptimizationLevel}; + use ort::value::Tensor; + use std::sync::Mutex; + use std::time::Instant; + use tokenizers::{ + PaddingDirection, PaddingParams, PaddingStrategy, Tokenizer, TruncationDirection, + TruncationParams, TruncationStrategy, + }; + + /// CLIP model with lazy-loaded vision and text encoders + pub struct ClipModel { + config: ClipConfig, + model_info: &'static ClipModelInfo, + /// Lazy-loaded vision encoder session + vision_session: Mutex>, + /// Lazy-loaded text encoder session + text_session: Mutex>, + /// Lazy-loaded tokenizer matching the text encoder + tokenizer: Mutex>, + /// Last time the model was used (for idle unloading) + last_used: Mutex, + } + + impl ClipModel { + /// Create a new CLIP model with the given configuration + pub fn new(config: ClipConfig) -> Result { + let model_info = get_model_info(&config.model_name); + + Ok(Self { + config, + model_info, + vision_session: Mutex::new(None), + text_session: Mutex::new(None), + tokenizer: Mutex::new(None), + last_used: Mutex::new(Instant::now()), + }) + } + + /// Create with default configuration + pub fn default_model() -> Result { + Self::new(ClipConfig::default()) + } + + /// Get model info + pub fn model_info(&self) -> &'static ClipModelInfo { + self.model_info + } + + /// Get embedding dimensions + pub fn dims(&self) -> u32 { + self.model_info.dims + } + + /// Ensure model file exists, downloading if necessary + fn ensure_model_file(&self, kind: &str) -> Result { + let filename = format!("{}_{}.onnx", self.model_info.name, kind); + let path = self.config.models_dir.join(&filename); + + if path.exists() { + return Ok(path); + } + + if self.config.offline { + return Err(ClipError::ModelNotFound { + model: self.model_info.name.to_string(), + hint: format!( + "Run: memvid model download {} (or disable MEMVID_OFFLINE)", + self.model_info.name + ), + } + .into()); + } + + // Create models directory if needed + std::fs::create_dir_all(&self.config.models_dir).map_err(|e| { + ClipError::DownloadError { + cause: format!("Failed to create models directory: {}", e), + } + })?; + + // Provide manual download instructions + Err(ClipError::DownloadError { + cause: format!( + "Automatic download not yet implemented. Please download manually:\n\ + curl -L '{}' -o '{}'", + if kind == "vision" { + self.model_info.vision_url + } else { + self.model_info.text_url + }, + path.display() + ), + } + .into()) + } + + /// Ensure tokenizer file exists, downloading if necessary + fn ensure_tokenizer_file(&self) -> Result { + let filename = format!("{}_tokenizer.json", self.model_info.name); + let path = self.config.models_dir.join(&filename); + + if path.exists() { + return Ok(path); + } + + if self.config.offline { + return Err(ClipError::ModelNotFound { + model: self.model_info.name.to_string(), + hint: format!( + "Tokenizer missing at {}. Copy tokenizer.json from {}", + path.display(), + self.model_info.tokenizer_url + ), + } + .into()); + } + + std::fs::create_dir_all(&self.config.models_dir).map_err(|e| { + ClipError::DownloadError { + cause: format!("Failed to create models directory: {}", e), + } + })?; + + Err(ClipError::DownloadError { + cause: format!( + "Automatic download not yet implemented. Please download manually:\n\ + curl -L '{}' -o '{}'", + self.model_info.tokenizer_url, + path.display() + ), + } + .into()) + } + + /// Load vision session lazily + fn load_vision_session(&self) -> Result<()> { + let mut session_guard = self + .vision_session + .lock() + .map_err(|_| MemvidError::Lock("Failed to lock vision session".into()))?; + + if session_guard.is_some() { + return Ok(()); + } + + let vision_path = self.ensure_model_file("vision")?; + + tracing::debug!(path = %vision_path.display(), "Loading CLIP vision model"); + + // Suppress stderr during ONNX session creation (macOS emits harmless warnings) + let _stderr_guard = stderr_suppress::StderrSuppressor::new().ok(); + + let session = Session::builder() + .map_err(|e| ClipError::InferenceError { + cause: e.to_string(), + })? + .with_optimization_level(GraphOptimizationLevel::Level3) + .map_err(|e| ClipError::InferenceError { + cause: e.to_string(), + })? + .with_intra_threads(4) + .map_err(|e| ClipError::InferenceError { + cause: e.to_string(), + })? + .commit_from_file(&vision_path) + .map_err(|e| ClipError::InferenceError { + cause: format!("Failed to load vision model: {}", e), + })?; + + // _stderr_guard dropped here, restoring stderr + + *session_guard = Some(session); + tracing::info!(model = %self.model_info.name, "CLIP vision model loaded"); + + Ok(()) + } + + /// Load text session lazily + fn load_text_session(&self) -> Result<()> { + let mut session_guard = self + .text_session + .lock() + .map_err(|_| MemvidError::Lock("Failed to lock text session".into()))?; + + if session_guard.is_some() { + return Ok(()); + } + + let text_path = self.ensure_model_file("text")?; + + tracing::debug!(path = %text_path.display(), "Loading CLIP text model"); + + // Suppress stderr during ONNX session creation (macOS emits harmless warnings) + let _stderr_guard = stderr_suppress::StderrSuppressor::new().ok(); + + let session = Session::builder() + .map_err(|e| ClipError::InferenceError { + cause: e.to_string(), + })? + .with_optimization_level(GraphOptimizationLevel::Level3) + .map_err(|e| ClipError::InferenceError { + cause: e.to_string(), + })? + .with_intra_threads(4) + .map_err(|e| ClipError::InferenceError { + cause: e.to_string(), + })? + .commit_from_file(&text_path) + .map_err(|e| ClipError::InferenceError { + cause: format!("Failed to load text model: {}", e), + })?; + + // _stderr_guard dropped here, restoring stderr + + *session_guard = Some(session); + tracing::info!(model = %self.model_info.name, "CLIP text model loaded"); + + Ok(()) + } + + /// Load tokenizer lazily (matches the text model vocab/BPE) + fn load_tokenizer(&self) -> Result<()> { + let mut tokenizer_guard = self + .tokenizer + .lock() + .map_err(|_| MemvidError::Lock("Failed to lock CLIP tokenizer".into()))?; + + if tokenizer_guard.is_some() { + return Ok(()); + } + + let tokenizer_path = self.ensure_tokenizer_file()?; + + tracing::debug!(path = %tokenizer_path.display(), "Loading CLIP tokenizer"); + + let mut tokenizer = + Tokenizer::from_file(&tokenizer_path).map_err(|e| ClipError::InferenceError { + cause: format!("Failed to load tokenizer: {}", e), + })?; + + tokenizer.with_padding(Some(PaddingParams { + strategy: PaddingStrategy::Fixed(77), + direction: PaddingDirection::Right, + pad_to_multiple_of: None, + pad_id: 0, + pad_type_id: 0, + pad_token: "[PAD]".to_string(), + })); + + tokenizer + .with_truncation(Some(TruncationParams { + max_length: 77, + strategy: TruncationStrategy::LongestFirst, + stride: 0, + direction: TruncationDirection::Right, + })) + .map_err(|e| ClipError::InferenceError { + cause: format!("Failed to apply truncation config: {}", e), + })?; + + *tokenizer_guard = Some(tokenizer); + tracing::info!(model = %self.model_info.name, "CLIP tokenizer loaded"); + + Ok(()) + } + + /// Preprocess image for CLIP inference + /// + /// MobileCLIP-S2 uses: + /// - Input size: 256x256 + /// - Resize: shortest edge to 256, preserve aspect, center-crop + /// - Normalization: scale to [0, 1] (no mean/std shift per preprocessor_config) + /// - Format: NCHW (batch, channels, height, width) + fn preprocess_image(&self, image: &DynamicImage) -> Array4 { + let size = self.model_info.input_resolution; + let rgb_input = image.to_rgb8(); + let (w, h) = rgb_input.dimensions(); + + // Resize shortest edge to target while preserving aspect ratio + let scale = size as f32 / w.min(h) as f32; + let new_w = ((w as f32) * scale).round().max(1.0) as u32; + let new_h = ((h as f32) * scale).round().max(1.0) as u32; + let resized = image.resize_exact(new_w, new_h, FilterType::Triangle); + + // Center crop to (size, size) + let start_x = (resized.width().saturating_sub(size)) / 2; + let start_y = (resized.height().saturating_sub(size)) / 2; + + // Create array in NCHW format: [1, 3, H, W] + let mut array = Array4::::zeros((1, 3, size as usize, size as usize)); + + for y in 0..size as usize { + for x in 0..size as usize { + let pixel = resized.get_pixel(start_x + x as u32, start_y + y as u32); + array[[0, 0, y, x]] = pixel[0] as f32 / 255.0; + array[[0, 1, y, x]] = pixel[1] as f32 / 255.0; + array[[0, 2, y, x]] = pixel[2] as f32 / 255.0; + } + } + + array + } + + /// Encode an image to CLIP embedding + pub fn encode_image(&self, image: &DynamicImage) -> Result> { + // Ensure vision session is loaded + self.load_vision_session()?; + + // Preprocess the image + let pixel_values = self.preprocess_image(image); + + // Update last used timestamp + if let Ok(mut last) = self.last_used.lock() { + *last = Instant::now(); + } + + // Run inference + let mut session_guard = self + .vision_session + .lock() + .map_err(|_| MemvidError::Lock("Failed to lock vision session".into()))?; + + let session = session_guard + .as_mut() + .ok_or_else(|| ClipError::InferenceError { + cause: "Vision session not loaded".to_string(), + })?; + + // Get input and output names from session before running + let input_name = session + .inputs + .first() + .map(|i| i.name.clone()) + .unwrap_or_else(|| "pixel_values".into()); + let output_name = session + .outputs + .first() + .map(|o| o.name.clone()) + .unwrap_or_else(|| "image_embeds".into()); + + // Create tensor from ndarray + let input_tensor = + Tensor::from_array(pixel_values).map_err(|e| ClipError::InferenceError { + cause: format!("Failed to create input tensor: {}", e), + })?; + + // Run the model + let outputs = session + .run(ort::inputs![input_name => input_tensor]) + .map_err(|e| ClipError::InferenceError { + cause: format!("Vision inference failed: {}", e), + })?; + + // Extract embeddings from first output + let output = outputs + .get(&output_name) + .ok_or_else(|| ClipError::InferenceError { + cause: format!("No output '{}' from vision model", output_name), + })?; + + let (_shape, data) = + output + .try_extract_tensor::() + .map_err(|e| ClipError::InferenceError { + cause: format!("Failed to extract embeddings: {}", e), + })?; + + // Get the embedding from the raw data + let embedding: Vec = data.to_vec(); + if embedding.iter().any(|v| !v.is_finite()) { + return Err(ClipError::InferenceError { + cause: "Vision embedding contains non-finite values".to_string(), + } + .into()); + } + let normalized = l2_normalize(&embedding); + + tracing::debug!(dims = normalized.len(), "Generated CLIP image embedding"); + + Ok(normalized) + } + + /// Encode image bytes to CLIP embedding + pub fn encode_image_bytes(&self, bytes: &[u8]) -> Result> { + let image = + image::load_from_memory(bytes).map_err(|e| ClipError::ImageBytesDecodeError { + cause: e.to_string(), + })?; + self.encode_image(&image) + } + + /// Encode an image file to CLIP embedding + pub fn encode_image_file(&self, path: &Path) -> Result> { + let image = image::open(path).map_err(|e| ClipError::ImageDecodeError { + path: path.to_path_buf(), + cause: e.to_string(), + })?; + self.encode_image(&image) + } + + /// Encode text to CLIP embedding (for query) + pub fn encode_text(&self, text: &str) -> Result> { + // Ensure text session is loaded + self.load_text_session()?; + self.load_tokenizer()?; + + // Tokenize the text using the model's tokenizer + let encoding = { + let tokenizer_guard = self + .tokenizer + .lock() + .map_err(|_| MemvidError::Lock("Failed to lock CLIP tokenizer".into()))?; + let tokenizer = + tokenizer_guard + .as_ref() + .ok_or_else(|| ClipError::InferenceError { + cause: "Tokenizer not loaded".to_string(), + })?; + + tokenizer + .encode(text, true) + .map_err(|e| ClipError::InferenceError { + cause: format!("Text tokenization failed: {}", e), + })? + }; + + let input_ids: Vec = encoding.get_ids().iter().map(|id| *id as i64).collect(); + let attention_mask: Vec = encoding + .get_attention_mask() + .iter() + .map(|id| *id as i64) + .collect(); + let max_length = input_ids.len(); + + // Create input arrays + let input_ids_array = + Array::from_shape_vec((1, max_length), input_ids).map_err(|e| { + ClipError::InferenceError { + cause: e.to_string(), + } + })?; + let attention_mask_array = Array::from_shape_vec((1, max_length), attention_mask) + .map_err(|e| ClipError::InferenceError { + cause: e.to_string(), + })?; + + // Update last used timestamp + if let Ok(mut last) = self.last_used.lock() { + *last = Instant::now(); + } + + // Run inference + let mut session_guard = self + .text_session + .lock() + .map_err(|_| MemvidError::Lock("Failed to lock text session".into()))?; + + let session = session_guard + .as_mut() + .ok_or_else(|| ClipError::InferenceError { + cause: "Text session not loaded".to_string(), + })?; + + // Get input and output names from session before running + let input_names: Vec = session.inputs.iter().map(|i| i.name.clone()).collect(); + let output_name = session + .outputs + .first() + .map(|o| o.name.clone()) + .unwrap_or_else(|| "text_embeds".into()); + + // Create tensors from ndarray + let input_ids_tensor = + Tensor::from_array(input_ids_array).map_err(|e| ClipError::InferenceError { + cause: format!("Failed to create input_ids tensor: {}", e), + })?; + let attention_mask_tensor = Tensor::from_array(attention_mask_array).map_err(|e| { + ClipError::InferenceError { + cause: format!("Failed to create attention_mask tensor: {}", e), + } + })?; + + // Build inputs based on what the model expects + let outputs = if input_names.len() >= 2 { + session + .run(ort::inputs![ + input_names[0].clone() => input_ids_tensor, + input_names[1].clone() => attention_mask_tensor + ]) + .map_err(|e| ClipError::InferenceError { + cause: format!("Text inference failed: {}", e), + })? + } else { + // Single input model + let name = input_names + .first() + .cloned() + .unwrap_or_else(|| "input_ids".to_string()); + session + .run(ort::inputs![name => input_ids_tensor]) + .map_err(|e| ClipError::InferenceError { + cause: format!("Text inference failed: {}", e), + })? + }; + + // Extract embeddings from output + let output = outputs + .get(&output_name) + .ok_or_else(|| ClipError::InferenceError { + cause: format!("No output '{}' from text model", output_name), + })?; + + let (_shape, data) = + output + .try_extract_tensor::() + .map_err(|e| ClipError::InferenceError { + cause: format!("Failed to extract text embeddings: {}", e), + })?; + + // Flatten and normalize the embedding + let embedding: Vec = data.to_vec(); + if embedding.iter().any(|v| !v.is_finite()) { + return Err(ClipError::InferenceError { + cause: "Text embedding contains non-finite values".to_string(), + } + .into()); + } + let normalized = l2_normalize(&embedding); + + tracing::debug!( + text_len = text.len(), + dims = normalized.len(), + "Generated CLIP text embedding" + ); + + Ok(normalized) + } + + /// Maybe unload model if unused for too long (memory management) + pub fn maybe_unload(&self) -> Result<()> { + let last_used = self + .last_used + .lock() + .map_err(|_| MemvidError::Lock("Failed to check last_used".into()))?; + + if last_used.elapsed() > MODEL_UNLOAD_TIMEOUT { + tracing::debug!(model = %self.model_info.name, "Model idle, unloading sessions"); + + // Unload vision session + if let Ok(mut guard) = self.vision_session.lock() { + *guard = None; + } + + // Unload text session + if let Ok(mut guard) = self.text_session.lock() { + *guard = None; + } + + // Unload tokenizer + if let Ok(mut guard) = self.tokenizer.lock() { + *guard = None; + } + } + + Ok(()) + } + + /// Force unload all sessions + pub fn unload(&self) -> Result<()> { + if let Ok(mut guard) = self.vision_session.lock() { + *guard = None; + } + if let Ok(mut guard) = self.text_session.lock() { + *guard = None; + } + if let Ok(mut guard) = self.tokenizer.lock() { + *guard = None; + } + tracing::debug!(model = %self.model_info.name, "CLIP sessions unloaded"); + Ok(()) + } + + /// Check if vision model is loaded + pub fn is_vision_loaded(&self) -> bool { + self.vision_session + .lock() + .map(|g| g.is_some()) + .unwrap_or(false) + } + + /// Check if text model is loaded + pub fn is_text_loaded(&self) -> bool { + self.text_session + .lock() + .map(|g| g.is_some()) + .unwrap_or(false) + } + } + + /// L2 normalize a vector (unit length) + fn l2_normalize(v: &[f32]) -> Vec { + let norm: f32 = v.iter().map(|x| x * x).sum::().sqrt(); + if norm.is_finite() && norm > 1e-10 { + v.iter().map(|x| x / norm).collect() + } else { + // Fall back to zeros to avoid NaNs propagating through distances + vec![0.0; v.len()] + } + } + + /// Calculate color variance of an image + pub fn calculate_color_variance(image: &DynamicImage) -> f32 { + let rgb = image.to_rgb8(); + let (width, height) = rgb.dimensions(); + let total_pixels = (width * height) as f32; + + if total_pixels == 0.0 { + return 0.0; + } + + // Calculate mean + let mut sum_r = 0.0f32; + let mut sum_g = 0.0f32; + let mut sum_b = 0.0f32; + + for pixel in rgb.pixels() { + sum_r += pixel[0] as f32; + sum_g += pixel[1] as f32; + sum_b += pixel[2] as f32; + } + + let mean_r = sum_r / total_pixels; + let mean_g = sum_g / total_pixels; + let mean_b = sum_b / total_pixels; + + // Calculate variance + let mut var_r = 0.0f32; + let mut var_g = 0.0f32; + let mut var_b = 0.0f32; + + for pixel in rgb.pixels() { + var_r += (pixel[0] as f32 - mean_r).powi(2); + var_g += (pixel[1] as f32 - mean_g).powi(2); + var_b += (pixel[2] as f32 - mean_b).powi(2); + } + + // Average variance across channels, normalized to 0-1 + ((var_r + var_g + var_b) / (3.0 * total_pixels)) / (255.0 * 255.0) + } + + /// Get ImageInfo from a DynamicImage + pub fn get_image_info(image: &DynamicImage) -> ImageInfo { + let (width, height) = image.dimensions(); + let color_variance = calculate_color_variance(image); + + ImageInfo { + width, + height, + color_variance, + } + } +} + +#[cfg(feature = "clip")] +pub use model::*; + +#[cfg(all(feature = "clip", feature = "pdfium"))] +use pdfium_render::prelude::{PdfPageRenderRotation, PdfRenderConfig, Pdfium}; + +/// Render PDF pages to images suitable for CLIP embedding (feature-gated). +#[cfg(all(feature = "clip", feature = "pdfium"))] +pub fn render_pdf_pages_for_clip( + path: &Path, + max_pages: usize, + target_px: u32, +) -> Result> { + let bindings = Pdfium::bind_to_system_library().map_err(|e| ClipError::InferenceError { + cause: format!("Failed to bind pdfium: {}", e), + })?; + let pdfium = Pdfium::new(bindings); + let document = + pdfium + .load_pdf_from_file(path, None) + .map_err(|e| ClipError::InferenceError { + cause: format!("Failed to load PDF for CLIP rendering: {}", e), + })?; + + let render_config = PdfRenderConfig::new() + .set_target_width(target_px as i32) + .set_maximum_height(target_px as i32) + .set_maximum_width(target_px as i32) + .rotate_if_landscape(PdfPageRenderRotation::None, false); + + let mut pages = Vec::new(); + for (index, page) in document.pages().iter().enumerate() { + if index >= max_pages { + break; + } + let rendered = page + .render_with_config(&render_config) + .map_err(|e| ClipError::InferenceError { + cause: format!("Failed to render PDF page {}: {}", index + 1, e), + })? + .as_image(); + pages.push(((index + 1) as u32, rendered)); + } + + Ok(pages) +} + +#[cfg(all(feature = "clip", not(feature = "pdfium")))] +pub fn render_pdf_pages_for_clip( + path: &Path, + max_pages: usize, + _target_px: u32, +) -> Result> { + fn extract_images_from_page( + doc: &Document, + page_id: ObjectId, + remaining: &mut usize, + out: &mut Vec<(u32, DynamicImage)>, + ) -> Result<()> { + if *remaining == 0 { + return Ok(()); + } + + let (resources_opt, resource_ids) = + doc.get_page_resources(page_id) + .map_err(|e| ClipError::InferenceError { + cause: format!("Failed to read PDF resources: {}", e), + })?; + + let mut seen = HashSet::new(); + let mut resource_dicts: Vec = Vec::new(); + + if let Some(dict) = resources_opt { + resource_dicts.push(dict.clone()); + } + for res_id in resource_ids { + if seen.insert(res_id) { + if let Ok(dict) = doc.get_dictionary(res_id) { + resource_dicts.push(dict.clone()); + } + } + } + + for dict in resource_dicts { + if let Ok(xobjects) = dict.get(b"XObject") { + let xobj_dict = match xobjects { + Object::Dictionary(d) => Some(d), + Object::Reference(id) => doc.get_dictionary(*id).ok(), + _ => None, + }; + if let Some(xobj_dict) = xobj_dict { + for (_, obj) in xobj_dict.iter() { + let id = match obj { + Object::Reference(id) => *id, + _ => continue, + }; + let stream = match doc.get_object(id).and_then(Object::as_stream) { + Ok(s) => s, + Err(_) => continue, + }; + let subtype = stream.dict.get(b"Subtype").ok(); + let is_image = matches!(subtype, Some(Object::Name(n)) if n == b"Image"); + if !is_image { + continue; + } + + let width = stream + .dict + .get(b"Width") + .ok() + .and_then(|o| o.as_i64().ok()) + .unwrap_or(0); + let height = stream + .dict + .get(b"Height") + .ok() + .and_then(|o| o.as_i64().ok()) + .unwrap_or(0); + if width <= 0 || height <= 0 { + continue; + } + + let filters = stream + .dict + .get(b"Filter") + .ok() + .and_then(|f| match f { + Object::Name(n) => Some(vec![n.clone()]), + Object::Array(arr) => Some( + arr.iter() + .filter_map(|o| o.as_name().ok().map(|n| n.to_vec())) + .collect(), + ), + _ => None, + }) + .unwrap_or_default(); + + let data = stream + .decompressed_content() + .unwrap_or_else(|_| stream.content.clone()); + + // If DCT/JPX, hand to image crate directly + if filters + .iter() + .any(|f| f == b"DCTDecode" || f == b"JPXDecode") + { + if let Ok(img) = image::load_from_memory(&data) { + out.push((1, img)); + if out.len() >= *remaining { + *remaining = 0; + return Ok(()); + } + *remaining -= 1; + continue; + } + } + + let color_space = stream + .dict + .get(b"ColorSpace") + .ok() + .and_then(|o| o.as_name().ok()) + .unwrap_or(b"DeviceRGB"); + let channels = if color_space == b"DeviceGray" { 1 } else { 3 }; + + let expected = width as usize * height as usize * channels; + if data.len() >= expected && channels == 3 { + if let Some(buf) = ImageBuffer::, _>::from_raw( + width as u32, + height as u32, + data.clone(), + ) { + out.push((1, DynamicImage::ImageRgb8(buf))); + if out.len() >= *remaining { + *remaining = 0; + return Ok(()); + } + *remaining -= 1; + continue; + } + } else if data.len() >= expected && channels == 1 { + if let Some(buf) = ImageBuffer::, _>::from_raw( + width as u32, + height as u32, + data.clone(), + ) { + out.push((1, DynamicImage::ImageLuma8(buf))); + if out.len() >= *remaining { + *remaining = 0; + return Ok(()); + } + *remaining -= 1; + continue; + } + } + } + } + } + } + + Ok(()) + } + + let doc = Document::load(path).map_err(|e| ClipError::InferenceError { + cause: format!("Failed to load PDF for image extraction: {}", e), + })?; + + let mut remaining = max_pages; + let mut pages: Vec<(u32, DynamicImage)> = Vec::new(); + + for (page_num, page_id) in doc.get_pages() { + if remaining == 0 { + break; + } + let start_len = pages.len(); + extract_images_from_page(&doc, page_id, &mut remaining, &mut pages)?; + if pages.len() > start_len { + for entry in pages.iter_mut().skip(start_len) { + entry.0 = page_num as u32; + } + } + } + + Ok(pages) +} + +// ============================================================================ +// CLIP Embedding Provider Trait +// ============================================================================ + +/// Trait for CLIP visual embedding providers. +/// +/// Unlike text `EmbeddingProvider`, CLIP providers handle both: +/// - **Image encoding**: Generate embeddings from images (for indexing) +/// - **Text encoding**: Generate embeddings from text (for queries) +/// +/// This allows natural language queries against visual content. +/// +/// # Example +/// +/// ```ignore +/// use memvid_core::clip::{ClipEmbeddingProvider, ClipConfig}; +/// +/// // Create provider +/// let provider = ClipModel::new(ClipConfig::default())?; +/// +/// // Encode image for indexing +/// let image_embedding = provider.embed_image_file(&path)?; +/// +/// // Encode query text for search +/// let query_embedding = provider.embed_query("a photo of a cat")?; +/// +/// // Search uses cosine similarity between query and image embeddings +/// ``` +pub trait ClipEmbeddingProvider: Send + Sync { + /// Return the provider kind (e.g., "mobileclip", "siglip"). + fn kind(&self) -> &str; + + /// Return the model identifier. + fn model(&self) -> &str; + + /// Return the embedding dimension. + fn dimension(&self) -> usize; + + /// Generate an embedding for an image file. + fn embed_image_file(&self, path: &Path) -> Result>; + + /// Generate an embedding for image bytes. + fn embed_image_bytes(&self, bytes: &[u8]) -> Result>; + + /// Generate an embedding for a text query (for searching). + fn embed_query(&self, text: &str) -> Result>; + + /// Generate embeddings for multiple image files. + /// + /// Default implementation calls `embed_image_file` in a loop. + /// Providers should override this for efficient batch processing. + fn embed_image_batch(&self, paths: &[&Path]) -> Result>> { + let mut embeddings = Vec::with_capacity(paths.len()); + for path in paths { + embeddings.push(self.embed_image_file(path)?); + } + Ok(embeddings) + } + + /// Check if the provider is ready to generate embeddings. + fn is_ready(&self) -> bool { + true + } + + /// Initialize the provider (e.g., load models). + fn init(&mut self) -> Result<()> { + Ok(()) + } + + /// Unload models to free memory. + fn unload(&self) -> Result<()> { + Ok(()) + } +} + +/// Result type for CLIP embedding operations +pub type ClipEmbeddingResult = Result>; +pub type ClipBatchEmbeddingResult = Result>>; + +// ============================================================================ +// ClipEmbeddingProvider Implementation (Feature-gated) +// ============================================================================ + +#[cfg(feature = "clip")] +impl ClipEmbeddingProvider for ClipModel { + fn kind(&self) -> &str { + "clip" + } + + fn model(&self) -> &str { + self.model_info().name + } + + fn dimension(&self) -> usize { + self.model_info().dims as usize + } + + fn embed_image_file(&self, path: &Path) -> Result> { + self.encode_image_file(path) + } + + fn embed_image_bytes(&self, bytes: &[u8]) -> Result> { + self.encode_image_bytes(bytes) + } + + fn embed_query(&self, text: &str) -> Result> { + self.encode_text(text) + } + + fn embed_image_batch(&self, paths: &[&Path]) -> Result>> { + let mut embeddings = Vec::with_capacity(paths.len()); + for path in paths { + embeddings.push(self.encode_image_file(path)?); + } + Ok(embeddings) + } + + fn is_ready(&self) -> bool { + // CLIP models are lazy-loaded, so always "ready" + true + } + + fn unload(&self) -> Result<()> { + ClipModel::unload(self) + } +} + +// ============================================================================ +// CLIP Index Manifest (for TOC) +// ============================================================================ + +/// Manifest for CLIP index stored in TOC +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct ClipIndexManifest { + /// Byte offset in file + pub bytes_offset: u64, + /// Length in bytes + pub bytes_length: u64, + /// Number of vectors + pub vector_count: u64, + /// Embedding dimensions + pub dimension: u32, + /// Blake3 checksum + pub checksum: [u8; 32], + /// Model name used to generate embeddings + pub model_name: String, +} + +// ============================================================================ +// Tests +// ============================================================================ + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn clip_index_builder_roundtrip() { + let mut builder = ClipIndexBuilder::new(); + builder.add_document(1, None, vec![0.1, 0.2, 0.3, 0.4]); + builder.add_document(2, None, vec![0.5, 0.6, 0.7, 0.8]); + + let artifact = builder.finish().expect("finish"); + assert_eq!(artifact.vector_count, 2); + assert_eq!(artifact.dimension, 4); + + let index = ClipIndex::decode(&artifact.bytes).expect("decode"); + assert_eq!(index.len(), 2); + + let hits = index.search(&[0.1, 0.2, 0.3, 0.4], 10); + assert_eq!(hits[0].frame_id, 1); + assert!(hits[0].distance < 0.001); // Should be very close + } + + #[test] + fn clip_index_search() { + let mut builder = ClipIndexBuilder::new(); + builder.add_document(1, None, vec![1.0, 0.0, 0.0]); + builder.add_document(2, None, vec![0.0, 1.0, 0.0]); + builder.add_document(3, None, vec![0.0, 0.0, 1.0]); + + let artifact = builder.finish().expect("finish"); + let index = ClipIndex::decode(&artifact.bytes).expect("decode"); + + // Search for [1, 0, 0] - should find frame 1 first + let hits = index.search(&[1.0, 0.0, 0.0], 3); + assert_eq!(hits[0].frame_id, 1); + + // Search for [0, 1, 0] - should find frame 2 first + let hits = index.search(&[0.0, 1.0, 0.0], 3); + assert_eq!(hits[0].frame_id, 2); + } + + #[test] + fn l2_distance_calculation() { + let d = l2_distance(&[0.0, 0.0], &[3.0, 4.0]); + assert!((d - 5.0).abs() < 1e-6); + + let d = l2_distance(&[1.0, 1.0, 1.0], &[1.0, 1.0, 1.0]); + assert!(d.abs() < 1e-6); + } + + #[test] + fn image_info_filtering() { + // Tiny image - should skip + let tiny = ImageInfo { + width: 32, + height: 32, + color_variance: 0.5, + }; + assert!(!tiny.should_embed()); + + // Good image + let good = ImageInfo { + width: 256, + height: 256, + color_variance: 0.5, + }; + assert!(good.should_embed()); + + // Extreme aspect ratio + let wide = ImageInfo { + width: 1000, + height: 10, + color_variance: 0.5, + }; + assert!(!wide.should_embed()); + + // Solid color + let solid = ImageInfo { + width: 256, + height: 256, + color_variance: 0.001, + }; + assert!(!solid.should_embed()); + } + + #[test] + fn model_registry() { + let default = default_model_info(); + assert_eq!(default.name, "mobileclip-s2"); + assert_eq!(default.dims, 512); + assert!(default.is_default); + + let siglip = get_model_info("siglip-base"); + assert_eq!(siglip.dims, 768); + + // Unknown model returns default + let unknown = get_model_info("nonexistent"); + assert_eq!(unknown.name, "mobileclip-s2"); + } + + #[test] + fn clip_config_defaults() { + // Clear the env vars to test true defaults + // SAFETY: No other threads are modifying these env vars in this test + unsafe { + std::env::remove_var("MEMVID_CLIP_MODEL"); + std::env::remove_var("MEMVID_OFFLINE"); + } + + let config = ClipConfig::default(); + assert_eq!(config.model_name, "mobileclip-s2"); + assert!(!config.offline); + } + + #[test] + fn clip_embedding_provider_trait() { + // Test that the trait is properly defined + fn assert_send_sync() {} + + // The trait should require Send + Sync + assert_send_sync::>(); + } +} diff --git a/src/constants.rs b/src/constants.rs new file mode 100644 index 0000000..d7fcf3e --- /dev/null +++ b/src/constants.rs @@ -0,0 +1,42 @@ +/// File magic for `.mv2` memories. +pub const MAGIC: [u8; 4] = *b"MV2\0"; +/// Logical header size (4 KiB) reserving space for future upgrades. +pub const HEADER_SIZE: usize = 4096; +/// Magic bytes for the time index track. +pub const TIME_INDEX_MAGIC: [u8; 4] = *b"MVTI"; +#[cfg(feature = "temporal_track")] +/// Magic bytes for the temporal mentions track. +pub const TEMPORAL_TRACK_MAGIC: [u8; 4] = *b"MVTN"; +#[cfg(feature = "temporal_track")] +/// Initial on-disk version for the temporal mentions track header. +pub const TEMPORAL_TRACK_VERSION: u16 = 1; +/// Specification major version. +pub const SPEC_MAJOR: u8 = 2; +/// Specification minor version. +pub const SPEC_MINOR: u8 = 1; +/// Combined two-byte specification version encoded in headers. +pub const SPEC_VERSION: u16 = ((SPEC_MAJOR as u16) << 8) | SPEC_MINOR as u16; +/// Binary format schema version. +pub const FORMAT_VERSION: u16 = 1; + +/// Embedded WAL begins immediately after the fixed header. +pub const WAL_OFFSET: u64 = HEADER_SIZE as u64; +/// Minimal WAL size for empty/small memories (auto-grows on demand). +pub const WAL_SIZE_TINY: u64 = 64 * 1024; +/// WAL size tiers based on requested capacity (<100 MB). +pub const WAL_SIZE_SMALL: u64 = 1024 * 1024; +/// WAL size for memories under 1 GB. +pub const WAL_SIZE_MEDIUM: u64 = 4 * 1024 * 1024; +/// WAL size for memories under 10 GB. +pub const WAL_SIZE_LARGE: u64 = 16 * 1024 * 1024; +/// WAL size for larger memories. +pub const WAL_SIZE_XLARGE: u64 = 64 * 1024 * 1024; +/// Trigger checkpoints when the WAL exceeds 75 % occupancy. +pub const WAL_CHECKPOINT_THRESHOLD: f64 = 0.75; +/// Additional checkpoint every N transactions (PRD default). +pub const WAL_CHECKPOINT_PERIOD: u64 = 1_000; + +/// Memvid's Ed25519 public key for verifying signed tickets. +/// This key is used to verify that tickets were issued by the official Memvid control plane. +/// The corresponding private key is held securely on the Memvid dashboard. +pub const MEMVID_TICKET_PUBKEY: &str = "DFKNhP/yO5i1b9aKL+aHeBaGunz9sMfOF736fzYws4Q="; diff --git a/src/encryption/capsule.rs b/src/encryption/capsule.rs new file mode 100644 index 0000000..a226cee --- /dev/null +++ b/src/encryption/capsule.rs @@ -0,0 +1,146 @@ +use std::fs::File; +use std::io::{Read, Seek, SeekFrom, Write}; +use std::path::{Path, PathBuf}; + +use atomic_write_file::AtomicWriteFile; +use zeroize::Zeroize; + +use crate::encryption::capsule_stream::{lock_file_stream, unlock_file_stream}; +use crate::encryption::crypto::{decrypt, derive_key}; +use crate::encryption::error::EncryptionError; +use crate::encryption::types::Mv2eHeader; + +/// Lock (encrypt) an `.mv2` file into a `.mv2e` capsule. +pub fn lock_file( + input: impl AsRef, + output: Option<&Path>, + password: &[u8], +) -> Result { + lock_file_stream(input, output, password) +} + +/// Unlock (decrypt) an `.mv2e` capsule into an `.mv2` file. +pub fn unlock_file( + input: impl AsRef, + output: Option<&Path>, + password: &[u8], +) -> Result { + let input = input.as_ref(); + + let mut file = File::open(input).map_err(|source| EncryptionError::Io { + source, + path: Some(input.to_path_buf()), + })?; + + let mut header_bytes = [0u8; Mv2eHeader::SIZE]; + file.read_exact(&mut header_bytes) + .map_err(|source| EncryptionError::Io { + source, + path: Some(input.to_path_buf()), + })?; + let header = Mv2eHeader::decode(&header_bytes)?; + + if header.reserved[0] == 0x01 { + unlock_file_stream(input, output, password) + } else { + unlock_file_oneshot(input, output, password, header) + } +} + +fn unlock_file_oneshot( + input: &Path, + output: Option<&Path>, + password: &[u8], + header: Mv2eHeader, +) -> Result { + let mut file = File::open(input).map_err(|source| EncryptionError::Io { + source, + path: Some(input.to_path_buf()), + })?; + + file.seek(SeekFrom::Start(Mv2eHeader::SIZE as u64)) + .map_err(|source| EncryptionError::Io { + source, + path: Some(input.to_path_buf()), + })?; + + let mut ciphertext = Vec::new(); + file.read_to_end(&mut ciphertext) + .map_err(|source| EncryptionError::Io { + source, + path: Some(input.to_path_buf()), + })?; + + let mut key = derive_key(password, &header.salt)?; + let plaintext = decrypt(&ciphertext, &key, &header.nonce)?; + key.zeroize(); + + if plaintext.len() as u64 != header.original_size { + return Err(EncryptionError::SizeMismatch { + expected: header.original_size, + actual: plaintext.len() as u64, + }); + } + + validate_mv2_bytes(&plaintext)?; + + let output_path = output + .map(PathBuf::from) + .unwrap_or_else(|| input.with_extension("mv2")); + + write_atomic(&output_path, |writer| -> Result<(), EncryptionError> { + writer.write_all(&plaintext)?; + Ok(()) + })?; + + Ok(output_path) +} + +pub fn validate_mv2_file(path: &Path) -> Result<(), EncryptionError> { + let mut file = File::open(path).map_err(|source| EncryptionError::Io { + source, + path: Some(path.to_path_buf()), + })?; + + let mut magic = [0u8; 4]; + file.read_exact(&mut magic) + .map_err(|source| EncryptionError::Io { + source, + path: Some(path.to_path_buf()), + })?; + + // Plain `.mv2` files start with "MV2\0". + if magic != *b"MV2\0" { + return Err(EncryptionError::NotMv2File { + path: path.to_path_buf(), + }); + } + + Ok(()) +} + +fn validate_mv2_bytes(bytes: &[u8]) -> Result<(), EncryptionError> { + if bytes.len() < 4 || &bytes[0..4] != b"MV2\0" { + return Err(EncryptionError::CorruptedDecryption); + } + Ok(()) +} + +pub fn write_atomic(path: &Path, write_fn: F) -> Result<(), E> +where + F: FnOnce(&mut File) -> Result<(), E>, + E: From, +{ + let mut options = AtomicWriteFile::options(); + options.read(false); + let mut atomic = options.open(path)?; + + let file = atomic.as_file_mut(); + file.set_len(0)?; + file.seek(SeekFrom::Start(0))?; + write_fn(file)?; + file.flush()?; + file.sync_all()?; + atomic.commit()?; + Ok(()) +} diff --git a/src/encryption/capsule_stream.rs b/src/encryption/capsule_stream.rs new file mode 100644 index 0000000..12f186f --- /dev/null +++ b/src/encryption/capsule_stream.rs @@ -0,0 +1,138 @@ +use rand::RngCore; +use rand::rngs::OsRng; +use std::fs::File; +use std::io::{BufReader, BufWriter, Read, Write}; +use std::path::{Path, PathBuf}; +use zeroize::Zeroize; + +use crate::encryption::capsule::{validate_mv2_file, write_atomic}; +use crate::encryption::constants::{MV2E_MAGIC, MV2E_VERSION, NONCE_SIZE, SALT_SIZE}; +use crate::encryption::crypto::{decrypt, derive_key, encrypt}; +use crate::encryption::error::EncryptionError; +use crate::encryption::types::{CipherAlgorithm, KdfAlgorithm, Mv2eHeader}; + +const CHUNK_SIZE: usize = 1024 * 1024; + +// format: [header][len0][chunk0][len1][chunk1]... +// reserved[0] == 0x01 => streaming framed format + +pub fn lock_file_stream( + input: impl AsRef, + output: Option<&Path>, + password: &[u8], +) -> Result { + let input = input.as_ref(); + validate_mv2_file(input)?; + + let metadata = std::fs::metadata(input)?; + + let mut salt = [0u8; SALT_SIZE]; + let mut base_nonce = [0u8; NONCE_SIZE]; + OsRng.fill_bytes(&mut salt); + OsRng.fill_bytes(&mut base_nonce); + + let mut key = derive_key(password, &salt)?; + + let header = Mv2eHeader { + magic: MV2E_MAGIC, + version: MV2E_VERSION, + kdf_algorithm: KdfAlgorithm::Argon2id, + cipher_algorithm: CipherAlgorithm::Aes256Gcm, + salt, + nonce: base_nonce, + original_size: metadata.len(), + reserved: [0x01, 0, 0, 0], + }; + + let output_path = output + .map(PathBuf::from) + .unwrap_or_else(|| input.with_extension("mv2e")); + + let input_file = File::open(input)?; + let mut reader = BufReader::new(input_file); + + write_atomic(&output_path, |file| -> Result<(), EncryptionError> { + let mut writer = BufWriter::new(file); + writer.write_all(&header.encode())?; + + let mut buffer = vec![0u8; CHUNK_SIZE]; + let mut chunk_index: u64 = 0; + + loop { + let n = reader.read(&mut buffer)?; + if n == 0 { + break; + } + + let mut nonce = base_nonce; + nonce[NONCE_SIZE - 8..].copy_from_slice(&chunk_index.to_be_bytes()); + + let ciphertext = encrypt(&buffer[..n], &key, &nonce)?; + + let chunk_len = ciphertext.len() as u32; + writer.write_all(&chunk_len.to_le_bytes())?; + writer.write_all(&ciphertext)?; + + chunk_index += 1; + } + + writer.flush()?; + Ok(()) + })?; + + key.zeroize(); + Ok(output_path) +} + +pub fn unlock_file_stream( + input: impl AsRef, + output: Option<&Path>, + password: &[u8], +) -> Result { + let input = input.as_ref(); + + let input_file = File::open(input)?; + let mut reader = BufReader::new(input_file); + + let mut header_bytes = [0u8; Mv2eHeader::SIZE]; + reader.read_exact(&mut header_bytes)?; + + let header = Mv2eHeader::decode(&header_bytes)?; + let mut key = derive_key(password, &header.salt)?; + + let output_path = output + .map(PathBuf::from) + .unwrap_or_else(|| input.with_extension("mv2")); + + write_atomic(&output_path, |file| -> Result<(), EncryptionError> { + let mut writer = BufWriter::new(file); + let mut chunk_index: u64 = 0; + + loop { + let mut len_bytes = [0u8; 4]; + match reader.read_exact(&mut len_bytes) { + Ok(()) => {} + Err(e) if e.kind() == std::io::ErrorKind::UnexpectedEof => break, + Err(e) => return Err(e.into()), + } + let chunk_len = u32::from_le_bytes(len_bytes) as usize; + + let mut ciphertext = vec![0u8; chunk_len]; + reader.read_exact(&mut ciphertext)?; + + let mut nonce = header.nonce; + nonce[NONCE_SIZE - 8..].copy_from_slice(&chunk_index.to_be_bytes()); + + let plaintext = decrypt(&ciphertext, &key, &nonce)?; + writer.write_all(&plaintext)?; + + chunk_index += 1; + } + + writer.flush()?; + Ok(()) + })?; + + key.zeroize(); + Ok(output_path) +} diff --git a/src/encryption/constants.rs b/src/encryption/constants.rs new file mode 100644 index 0000000..f2cbdd3 --- /dev/null +++ b/src/encryption/constants.rs @@ -0,0 +1,27 @@ +//! Constants for the `.mv2e` encrypted capsule format. + +/// Magic bytes identifying an encrypted capsule file. +pub const MV2E_MAGIC: [u8; 4] = *b"MV2E"; + +/// Current `.mv2e` format version. +pub const MV2E_VERSION: u16 = 1; + +/// Fixed header size for `.mv2e`. +pub const MV2E_HEADER_SIZE: usize = 64; + +/// KDF algorithm identifiers. +pub const KDF_ARGON2ID: u8 = 1; + +/// Cipher algorithm identifiers. +pub const CIPHER_AES_256_GCM: u8 = 1; + +/// Cryptographic parameter sizes. +pub const SALT_SIZE: usize = 32; +pub const NONCE_SIZE: usize = 12; +pub const TAG_SIZE: usize = 16; +pub const KEY_SIZE: usize = 32; + +/// Argon2id parameters (OWASP 2024 recommendations). +pub const ARGON2_MEMORY_KIB: u32 = 64 * 1024; // 64 MiB +pub const ARGON2_ITERATIONS: u32 = 3; +pub const ARGON2_PARALLELISM: u32 = 4; diff --git a/src/encryption/crypto.rs b/src/encryption/crypto.rs new file mode 100644 index 0000000..6a3862d --- /dev/null +++ b/src/encryption/crypto.rs @@ -0,0 +1,64 @@ +use aes_gcm::aead::Aead; +use aes_gcm::{Aes256Gcm, KeyInit, Nonce}; +use argon2::{Algorithm, Argon2, Params, Version}; + +use crate::encryption::constants::{ + ARGON2_ITERATIONS, ARGON2_MEMORY_KIB, ARGON2_PARALLELISM, KEY_SIZE, NONCE_SIZE, SALT_SIZE, +}; +use crate::encryption::error::EncryptionError; + +pub fn derive_key( + password: &[u8], + salt: &[u8; SALT_SIZE], +) -> Result<[u8; KEY_SIZE], EncryptionError> { + let params = Params::new( + ARGON2_MEMORY_KIB, + ARGON2_ITERATIONS, + ARGON2_PARALLELISM, + Some(KEY_SIZE), + ) + .map_err(|e| EncryptionError::KeyDerivation { + reason: e.to_string(), + })?; + + let argon2 = Argon2::new(Algorithm::Argon2id, Version::V0x13, params); + + let mut key = [0u8; KEY_SIZE]; + argon2 + .hash_password_into(password, salt, &mut key) + .map_err(|e| EncryptionError::KeyDerivation { + reason: e.to_string(), + })?; + + Ok(key) +} + +pub fn encrypt( + plaintext: &[u8], + key: &[u8; KEY_SIZE], + nonce: &[u8; NONCE_SIZE], +) -> Result, EncryptionError> { + let cipher = Aes256Gcm::new_from_slice(key).map_err(|e| EncryptionError::CipherInit { + reason: e.to_string(), + })?; + cipher + .encrypt(Nonce::from_slice(nonce), plaintext) + .map_err(|e| EncryptionError::Encryption { + reason: e.to_string(), + }) +} + +pub fn decrypt( + ciphertext: &[u8], + key: &[u8; KEY_SIZE], + nonce: &[u8; NONCE_SIZE], +) -> Result, EncryptionError> { + let cipher = Aes256Gcm::new_from_slice(key).map_err(|e| EncryptionError::CipherInit { + reason: e.to_string(), + })?; + cipher + .decrypt(Nonce::from_slice(nonce), ciphertext) + .map_err(|e| EncryptionError::Decryption { + reason: e.to_string(), + }) +} diff --git a/src/encryption/error.rs b/src/encryption/error.rs new file mode 100644 index 0000000..324beb6 --- /dev/null +++ b/src/encryption/error.rs @@ -0,0 +1,51 @@ +use std::path::PathBuf; + +use thiserror::Error; + +#[derive(Error, Debug)] +pub enum EncryptionError { + #[error("I/O error: {source}")] + Io { + source: std::io::Error, + path: Option, + }, + + #[error("Invalid magic header: expected {expected:?}, found {found:?}")] + InvalidMagic { expected: [u8; 4], found: [u8; 4] }, + + #[error("Unsupported encryption format version: {version}")] + UnsupportedVersion { version: u16 }, + + #[error("Unsupported key derivation function: {id}")] + UnsupportedKdf { id: u8 }, + + #[error("Unsupported cipher algorithm: {id}")] + UnsupportedCipher { id: u8 }, + + #[error("Key derivation failed: {reason}")] + KeyDerivation { reason: String }, + + #[error("Cipher initialization failed: {reason}")] + CipherInit { reason: String }, + + #[error("Encryption failed: {reason}")] + Encryption { reason: String }, + + #[error("Decryption failed - invalid password or corrupted file")] + Decryption { reason: String }, + + #[error("Size mismatch: expected {expected} bytes, got {actual}")] + SizeMismatch { expected: u64, actual: u64 }, + + #[error("Not an MV2 file: {path}")] + NotMv2File { path: PathBuf }, + + #[error("Corrupted decryption - output is not a valid MV2 file")] + CorruptedDecryption, +} + +impl From for EncryptionError { + fn from(source: std::io::Error) -> Self { + EncryptionError::Io { source, path: None } + } +} diff --git a/src/encryption/mod.rs b/src/encryption/mod.rs new file mode 100644 index 0000000..89bf2a7 --- /dev/null +++ b/src/encryption/mod.rs @@ -0,0 +1,18 @@ +//! Password-based encryption capsules for `.mv2` files (`.mv2e`). +//! +//! This module is feature-gated (`encryption`) to keep the default memvid-core +//! binary size small and avoid pulling crypto dependencies into users that don't +//! need encrypted-at-rest capsules. + +mod capsule; +mod capsule_stream; +mod constants; +mod crypto; +mod error; +mod types; + +pub use capsule::{lock_file, unlock_file}; +pub use capsule_stream::{lock_file_stream, unlock_file_stream}; +pub use constants::*; +pub use error::EncryptionError; +pub use types::{CipherAlgorithm, KdfAlgorithm, Mv2eHeader}; diff --git a/src/encryption/types.rs b/src/encryption/types.rs new file mode 100644 index 0000000..fe08d3a --- /dev/null +++ b/src/encryption/types.rs @@ -0,0 +1,96 @@ +use crate::encryption::constants::{ + CIPHER_AES_256_GCM, KDF_ARGON2ID, MV2E_HEADER_SIZE, MV2E_MAGIC, MV2E_VERSION, NONCE_SIZE, + SALT_SIZE, +}; +use crate::encryption::error::EncryptionError; + +/// MV2E file header (fixed-size, 64 bytes). +#[derive(Debug, Clone)] +pub struct Mv2eHeader { + pub magic: [u8; 4], + pub version: u16, + pub kdf_algorithm: KdfAlgorithm, + pub cipher_algorithm: CipherAlgorithm, + pub salt: [u8; SALT_SIZE], + pub nonce: [u8; NONCE_SIZE], + pub original_size: u64, + pub reserved: [u8; 4], +} + +#[derive(Debug, Clone, Copy, PartialEq, Eq)] +#[repr(u8)] +pub enum KdfAlgorithm { + Argon2id = KDF_ARGON2ID, +} + +#[derive(Debug, Clone, Copy, PartialEq, Eq)] +#[repr(u8)] +pub enum CipherAlgorithm { + Aes256Gcm = CIPHER_AES_256_GCM, +} + +impl Mv2eHeader { + pub const SIZE: usize = MV2E_HEADER_SIZE; + + #[must_use] + pub fn encode(&self) -> [u8; Self::SIZE] { + let mut buf = [0u8; Self::SIZE]; + buf[0..4].copy_from_slice(&self.magic); + buf[4..6].copy_from_slice(&self.version.to_le_bytes()); + buf[6] = self.kdf_algorithm as u8; + buf[7] = self.cipher_algorithm as u8; + buf[8..40].copy_from_slice(&self.salt); + buf[40..52].copy_from_slice(&self.nonce); + buf[52..60].copy_from_slice(&self.original_size.to_le_bytes()); + buf[60..64].copy_from_slice(&self.reserved); + buf + } + + pub fn decode(bytes: &[u8; Self::SIZE]) -> Result { + let magic = [bytes[0], bytes[1], bytes[2], bytes[3]]; + if magic != MV2E_MAGIC { + return Err(EncryptionError::InvalidMagic { + expected: MV2E_MAGIC, + found: magic, + }); + } + + let version = u16::from_le_bytes([bytes[4], bytes[5]]); + if version != MV2E_VERSION { + return Err(EncryptionError::UnsupportedVersion { version }); + } + + let kdf_algorithm = match bytes[6] { + KDF_ARGON2ID => KdfAlgorithm::Argon2id, + other => return Err(EncryptionError::UnsupportedKdf { id: other }), + }; + + let cipher_algorithm = match bytes[7] { + CIPHER_AES_256_GCM => CipherAlgorithm::Aes256Gcm, + other => return Err(EncryptionError::UnsupportedCipher { id: other }), + }; + + let mut salt = [0u8; SALT_SIZE]; + salt.copy_from_slice(&bytes[8..40]); + + let mut nonce = [0u8; NONCE_SIZE]; + nonce.copy_from_slice(&bytes[40..52]); + + let original_size = u64::from_le_bytes([ + bytes[52], bytes[53], bytes[54], bytes[55], bytes[56], bytes[57], bytes[58], bytes[59], + ]); + + let reserved = [bytes[60], bytes[61], bytes[62], bytes[63]]; + + Ok(Self { + magic, + version, + kdf_algorithm, + cipher_algorithm, + salt, + nonce, + original_size, + reserved, + }) + } +} diff --git a/src/enrich/engine.rs b/src/enrich/engine.rs new file mode 100644 index 0000000..3c0011d --- /dev/null +++ b/src/enrich/engine.rs @@ -0,0 +1,199 @@ +//! Enrichment engine trait and context types. +//! +//! The `EnrichmentEngine` trait defines the interface that all enrichment +//! engines must implement. Each engine processes frames and produces +//! structured memory cards. + +use crate::error::Result; +use crate::types::{FrameId, MemoryCard}; + +/// Context provided to enrichment engines during processing. +#[derive(Debug, Clone)] +pub struct EnrichmentContext { + /// The frame ID being processed. + pub frame_id: FrameId, + /// The frame's URI (e.g., ""). + pub uri: String, + /// The frame's text content. + pub text: String, + /// The frame's title (if any). + pub title: Option, + /// The frame's timestamp (Unix seconds). + pub timestamp: i64, + /// Optional metadata from the frame. + pub metadata: Option, +} + +impl EnrichmentContext { + /// Create a new enrichment context. + #[must_use] + pub fn new( + frame_id: FrameId, + uri: String, + text: String, + title: Option, + timestamp: i64, + metadata: Option, + ) -> Self { + Self { + frame_id, + uri, + text, + title, + timestamp, + metadata, + } + } +} + +/// Result of running an enrichment engine on a frame. +#[derive(Debug, Clone, Default)] +pub struct EnrichmentResult { + /// Memory cards extracted from the frame. + pub cards: Vec, + /// Whether the engine successfully processed the frame. + /// Even if no cards were extracted, this can be true. + pub success: bool, + /// Optional error message if processing failed. + pub error: Option, +} + +impl EnrichmentResult { + /// Create a successful result with cards. + #[must_use] + pub fn success(cards: Vec) -> Self { + Self { + cards, + success: true, + error: None, + } + } + + /// Create an empty successful result (no cards extracted). + #[must_use] + pub fn empty() -> Self { + Self { + cards: Vec::new(), + success: true, + error: None, + } + } + + /// Create a failed result. + #[must_use] + pub fn failed(error: impl Into) -> Self { + Self { + cards: Vec::new(), + success: false, + error: Some(error.into()), + } + } +} + +/// Trait for enrichment engines that process frames and extract memory cards. +/// +/// Engines are identified by a kind (e.g., "rules", "llm:phi-3.5-mini") and +/// a version string. The combination allows tracking which frames have been +/// processed by which engine versions. +/// +/// # Example +/// +/// ```ignore +/// use memvid_core::enrich::{EnrichmentEngine, EnrichmentContext, EnrichmentResult}; +/// +/// struct MyEngine; +/// +/// impl EnrichmentEngine for MyEngine { +/// fn kind(&self) -> &str { "my-engine" } +/// fn version(&self) -> &str { "1.0.0" } +/// +/// fn enrich(&self, ctx: &EnrichmentContext) -> EnrichmentResult { +/// // Extract memory cards from ctx.text +/// EnrichmentResult::empty() +/// } +/// } +/// ``` +pub trait EnrichmentEngine: Send + Sync { + /// Return the engine kind identifier (e.g., "rules", "llm:phi-3.5-mini"). + fn kind(&self) -> &str; + + /// Return the engine version string (e.g., "1.0.0"). + fn version(&self) -> &str; + + /// Process a frame and extract memory cards. + /// + /// The engine receives the frame's text content and metadata via the + /// `EnrichmentContext` and should return any extracted memory cards. + fn enrich(&self, ctx: &EnrichmentContext) -> EnrichmentResult; + + /// Initialize the engine (e.g., load models). + /// + /// This is called once before processing begins. Engines that need + /// to load models or other resources should do so here. + fn init(&mut self) -> Result<()> { + Ok(()) + } + + /// Check if the engine is ready for processing. + /// + /// Returns true if `init()` has been called and the engine is ready. + fn is_ready(&self) -> bool { + true + } +} + +#[cfg(test)] +mod tests { + use super::*; + + struct TestEngine; + + impl EnrichmentEngine for TestEngine { + fn kind(&self) -> &'static str { + "test" + } + fn version(&self) -> &'static str { + "1.0.0" + } + fn enrich(&self, _ctx: &EnrichmentContext) -> EnrichmentResult { + EnrichmentResult::empty() + } + } + + #[test] + fn test_enrichment_context() { + let ctx = EnrichmentContext::new( + 42, + "mv2://test/msg-1".to_string(), + "Hello, I work at Anthropic.".to_string(), + Some("Test".to_string()), + 1700000000, + None, + ); + assert_eq!(ctx.frame_id, 42); + assert_eq!(ctx.uri, "mv2://test/msg-1"); + } + + #[test] + fn test_enrichment_result() { + let success = EnrichmentResult::success(vec![]); + assert!(success.success); + assert!(success.error.is_none()); + + let empty = EnrichmentResult::empty(); + assert!(empty.success); + assert!(empty.cards.is_empty()); + + let failed = EnrichmentResult::failed("test error"); + assert!(!failed.success); + assert_eq!(failed.error, Some("test error".to_string())); + } + + #[test] + fn test_engine_trait() { + let engine = TestEngine; + assert_eq!(engine.kind(), "test"); + assert_eq!(engine.version(), "1.0.0"); + assert!(engine.is_ready()); + } +} diff --git a/src/enrich/mod.rs b/src/enrich/mod.rs new file mode 100644 index 0000000..089da45 --- /dev/null +++ b/src/enrich/mod.rs @@ -0,0 +1,10 @@ +//! Enrichment engine framework for extracting memory cards from frames. +//! +//! This module provides the trait and utilities for building enrichment engines +//! that process MV2 frames and extract structured memory cards. + +pub mod engine; +pub mod rules; + +pub use engine::{EnrichmentContext, EnrichmentEngine, EnrichmentResult}; +pub use rules::RulesEngine; diff --git a/src/enrich/rules.rs b/src/enrich/rules.rs new file mode 100644 index 0000000..aa1de96 --- /dev/null +++ b/src/enrich/rules.rs @@ -0,0 +1,1244 @@ +//! Rules-based enrichment engine using regex patterns. +//! +//! This engine extracts memory cards from text using configurable regex +//! patterns. It's fast, deterministic, and doesn't require any models. + +use super::{EnrichmentContext, EnrichmentEngine, EnrichmentResult}; +use crate::types::{MemoryCard, MemoryCardBuilder, MemoryKind, Polarity}; +use regex::Regex; + +/// Normalize entity names for consistent O(1) lookups. +/// Converts to lowercase and trims whitespace. +fn normalize_entity(entity: &str) -> String { + entity.trim().to_lowercase() +} + +/// A rule for extracting memory cards from text. +#[derive(Debug, Clone)] +pub struct ExtractionRule { + /// Name of the rule (for debugging). + pub name: String, + /// Regex pattern to match. + pub pattern: Regex, + /// The kind of memory card to create. + pub kind: MemoryKind, + /// The entity to use (supports $1, $2 capture groups). + pub entity: String, + /// The slot to use (supports $1, $2 capture groups). + pub slot: String, + /// The value template (supports $1, $2 capture groups). + pub value: String, + /// Optional polarity for preference rules. + pub polarity: Option, +} + +impl ExtractionRule { + /// Create a new extraction rule. + pub fn new( + name: impl Into, + pattern: &str, + kind: MemoryKind, + entity: impl Into, + slot: impl Into, + value: impl Into, + ) -> Result { + Ok(Self { + name: name.into(), + pattern: Regex::new(pattern)?, + kind, + entity: entity.into(), + slot: slot.into(), + value: value.into(), + polarity: None, + }) + } + + /// Create a preference rule with polarity. + pub fn preference( + name: impl Into, + pattern: &str, + entity: impl Into, + slot: impl Into, + value: impl Into, + polarity: Polarity, + ) -> Result { + Ok(Self { + name: name.into(), + pattern: Regex::new(pattern)?, + kind: MemoryKind::Preference, + entity: entity.into(), + slot: slot.into(), + value: value.into(), + polarity: Some(polarity), + }) + } + + /// Apply the rule to text and return extracted cards. + fn apply(&self, ctx: &EnrichmentContext) -> Vec { + let mut cards = Vec::new(); + + for caps in self.pattern.captures_iter(&ctx.text) { + // Expand capture groups in entity, slot, value + let entity = normalize_entity(&self.expand_captures(&self.entity, &caps)); + let slot = self.expand_captures(&self.slot, &caps); + let value = self.expand_captures(&self.value, &caps).trim().to_string(); + + if entity.is_empty() || slot.is_empty() || value.is_empty() { + continue; + } + + let mut builder = MemoryCardBuilder::new() + .kind(self.kind) + .entity(&entity) + .slot(&slot) + .value(&value) + .source(ctx.frame_id, Some(ctx.uri.clone())) + .engine("rules", "1.0.0"); + + if let Some(polarity) = &self.polarity { + builder = builder.polarity(*polarity); + } + + // Build with a placeholder ID (will be assigned by MemoriesTrack) + if let Ok(card) = builder.build(0) { + cards.push(card); + } + } + + cards + } + + /// Expand capture group references ($1, $2, etc.) in a template. + fn expand_captures(&self, template: &str, caps: ®ex::Captures) -> String { + let mut result = template.to_string(); + for i in 0..10 { + let placeholder = format!("${i}"); + if let Some(m) = caps.get(i) { + result = result.replace(&placeholder, m.as_str()); + } + } + result + } +} + +/// Rules-based enrichment engine. +/// +/// This engine uses a collection of regex-based rules to extract +/// structured memory cards from text. Rules can target facts, +/// preferences, events, and other memory types. +#[derive(Debug)] +pub struct RulesEngine { + rules: Vec, + version: String, +} + +impl Default for RulesEngine { + fn default() -> Self { + Self::new() + } +} + +impl RulesEngine { + /// Create a new rules engine with default rules. + #[must_use] + pub fn new() -> Self { + let mut engine = Self { + rules: Vec::new(), + version: "1.0.0".to_string(), + }; + engine.add_default_rules(); + engine.add_third_person_rules(); + engine + } + + /// Create an empty rules engine (no default rules). + #[must_use] + pub fn empty() -> Self { + Self { + rules: Vec::new(), + version: "1.0.0".to_string(), + } + } + + /// Add a rule to the engine. + pub fn add_rule(&mut self, rule: ExtractionRule) { + self.rules.push(rule); + } + + /// Add default rules for common patterns. + fn add_default_rules(&mut self) { + // Employment facts + if let Ok(rule) = ExtractionRule::new( + "employer", + r"(?i)(?:I work at|I'm employed at|I work for|my employer is|I'm at)\s+([A-Z][a-zA-Z0-9\s&]+?)(?:\.|,|!|\?|$)", + MemoryKind::Fact, + "user", + "employer", + "$1", + ) { + self.rules.push(rule); + } + + // Job title + if let Ok(rule) = ExtractionRule::new( + "job_title", + r"(?i)(?:I am a|I'm a|I work as a|my job is|my role is|my title is)\s+([A-Za-z][a-zA-Z\s]+?)(?:\.|,|!|\?|$| at)", + MemoryKind::Fact, + "user", + "job_title", + "$1", + ) { + self.rules.push(rule); + } + + // Location + if let Ok(rule) = ExtractionRule::new( + "location", + r"(?i)(?:I live in|I'm based in|I'm from|I reside in|my home is in)\s+([A-Z][a-zA-Z\s,]+?)(?:\.|!|\?|$)", + MemoryKind::Fact, + "user", + "location", + "$1", + ) { + self.rules.push(rule); + } + + // Name + if let Ok(rule) = ExtractionRule::new( + "name", + r"(?i)(?:my name is|I'm|call me|I am)\s+([A-Z][a-z]+(?:\s+[A-Z][a-z]+)?)(?:\.|,|!|\?|$)", + MemoryKind::Profile, + "user", + "name", + "$1", + ) { + self.rules.push(rule); + } + + // Age + if let Ok(rule) = ExtractionRule::new( + "age", + r"(?i)(?:I am|I'm)\s+(\d{1,3})\s+(?:years old|yrs old|yo)(?:\.|,|!|\?|$|\s)", + MemoryKind::Profile, + "user", + "age", + "$1", + ) { + self.rules.push(rule); + } + + // Food preferences (positive) + if let Ok(rule) = ExtractionRule::preference( + "food_like", + r"(?i)(?:I (?:really )?(?:love|like|enjoy|prefer|adore))\s+([\w\s]+?)(?:\.|,|!|\?|$)", + "user", + "food_preference", + "$1", + Polarity::Positive, + ) { + self.rules.push(rule); + } + + // Food preferences (negative) + if let Ok(rule) = ExtractionRule::preference( + "food_dislike", + r"(?i)(?:I (?:really )?(?:hate|dislike|can't stand|don't like|avoid))\s+([\w\s]+?)(?:\.|,|!|\?|$)", + "user", + "food_preference", + "$1", + Polarity::Negative, + ) { + self.rules.push(rule); + } + + // Allergies + if let Ok(rule) = ExtractionRule::new( + "allergy", + r"(?i)(?:I am|I'm) allergic to\s+([\w\s]+?)(?:\.|,|!|\?|$)", + MemoryKind::Profile, + "user", + "allergy", + "$1", + ) { + self.rules.push(rule); + } + + // Programming language preferences + if let Ok(rule) = ExtractionRule::preference( + "programming_language", + r"(?i)(?:I (?:really )?(?:love|like|enjoy|prefer) (?:programming in|coding in|using|writing))\s+([\w\+\#]+)(?:\.|,|!|\?|$|\s)", + "user", + "programming_language", + "$1", + Polarity::Positive, + ) { + self.rules.push(rule); + } + + // Hobby/interest + if let Ok(rule) = ExtractionRule::new( + "hobby", + r"(?i)(?:my hobby is|I enjoy|I like to|my favorite hobby is|my favourite hobby is)\s+([\w\s]+?)(?:\.|,|!|\?|$)", + MemoryKind::Preference, + "user", + "hobby", + "$1", + ) { + self.rules.push(rule); + } + + // Pet + if let Ok(rule) = ExtractionRule::new( + "pet", + r"(?i)(?:I have a|my pet is a|I own a)\s+([\w\s]+?)(?:\s+named|\.|,|!|\?|$)", + MemoryKind::Fact, + "user", + "pet", + "$1", + ) { + self.rules.push(rule); + } + + // Pet name + if let Ok(rule) = ExtractionRule::new( + "pet_name", + r"(?i)(?:my (?:pet|dog|cat|bird|fish|hamster)'?s? name is|I have a [\w\s]+ named)\s+([A-Z][a-z]+)(?:\.|,|!|\?|$)", + MemoryKind::Fact, + "user", + "pet_name", + "$1", + ) { + self.rules.push(rule); + } + + // Birthday + if let Ok(rule) = ExtractionRule::new( + "birthday", + r"(?i)(?:my birthday is|I was born on|born on)\s+(\w+\s+\d{1,2}(?:st|nd|rd|th)?(?:,?\s+\d{4})?)(?:\.|,|!|\?|$)", + MemoryKind::Profile, + "user", + "birthday", + "$1", + ) { + self.rules.push(rule); + } + + // Email + if let Ok(rule) = ExtractionRule::new( + "email", + r"(?i)(?:my email is|email me at|reach me at)\s+([\w\.\-]+@[\w\.\-]+\.\w+)", + MemoryKind::Profile, + "user", + "email", + "$1", + ) { + self.rules.push(rule); + } + + // Family member mentions + if let Ok(rule) = ExtractionRule::new( + "family", + r"(?i)my\s+(wife|husband|spouse|partner|son|daughter|child|brother|sister|mother|father|mom|dad|grandma|grandmother|grandpa|grandfather)'?s?\s+(?:name is|is named)\s+([A-Z][a-z]+)", + MemoryKind::Relationship, + "user", + "$1", + "$2", + ) { + self.rules.push(rule); + } + + // Travel/trip events + if let Ok(rule) = ExtractionRule::new( + "travel", + r"(?i)(?:I (?:went|traveled|travelled|visited|am going|will go|am visiting) to)\s+([A-Z][a-zA-Z\s,]+?)(?:\s+(?:last|this|next)|\.|,|!|\?|$)", + MemoryKind::Event, + "user", + "travel", + "$1", + ) { + self.rules.push(rule); + } + } + + /// Add rules for third-person statements (e.g., "Alice works at Acme Corp"). + /// + /// These patterns extract triplets where the subject is a named person + /// rather than "user" (first-person). + fn add_third_person_rules(&mut self) { + // Common name pattern: Capitalized first name, optional middle/last names + // Matches: "Alice", "John Smith", "Mary Jane Watson" + let name = r"([A-Z][a-z]+(?:\s+[A-Z][a-z]+){0,2})"; + + // ============================================================ + // EMPLOYMENT PATTERNS + // ============================================================ + + // "Alice works at Acme Corp" / "John is employed at Google" + if let Ok(rule) = ExtractionRule::new( + "3p_employer_works_at", + &format!( + r"(?i){name}\s+(?:works at|works for|is employed at|is employed by|joined|is at)\s+([A-Z][a-zA-Z0-9\s&]+?)(?:\.|,|!|\?|$|\s+(?:as|in|since))" + ), + MemoryKind::Fact, + "$1", + "employer", + "$2", + ) { + self.rules.push(rule); + } + + // "Alice is the CEO of Acme Corp" / "Bob is the founder of Startup Inc" + if let Ok(rule) = ExtractionRule::new( + "3p_role_at_company", + &format!( + r"(?i){name}\s+is\s+(?:the\s+)?([A-Za-z\s]+?)\s+(?:of|at)\s+([A-Z][a-zA-Z0-9\s&]+?)(?:\.|,|!|\?|$)" + ), + MemoryKind::Fact, + "$1", + "role", + "$2 at $3", + ) { + self.rules.push(rule); + } + + // "Alice, CEO of Acme" / "Bob, founder of Startup" + if let Ok(rule) = ExtractionRule::new( + "3p_title_appositive", + &format!( + r"(?i){name},\s+(?:the\s+)?([A-Za-z\s]+?)\s+(?:of|at)\s+([A-Z][a-zA-Z0-9\s&]+?)(?:\.|,|!|\?|$)" + ), + MemoryKind::Fact, + "$1", + "role", + "$2 at $3", + ) { + self.rules.push(rule); + } + + // ============================================================ + // LOCATION PATTERNS + // ============================================================ + + // "Alice lives in San Francisco" / "John is based in New York" + if let Ok(rule) = ExtractionRule::new( + "3p_location_lives", + &format!( + r"(?i){name}\s+(?:lives in|is based in|resides in|is from|comes from|moved to|relocated to)\s+([A-Z][a-zA-Z\s,]+?)(?:\.|!|\?|$)" + ), + MemoryKind::Fact, + "$1", + "location", + "$2", + ) { + self.rules.push(rule); + } + + // "Alice is a San Francisco resident" / "John is a New Yorker" + if let Ok(rule) = ExtractionRule::new( + "3p_location_resident", + &format!( + r"(?i){name}\s+is\s+(?:a\s+)?([A-Z][a-zA-Z\s]+?)(?:\s+resident|\s+native)(?:\.|,|!|\?|$)" + ), + MemoryKind::Fact, + "$1", + "location", + "$2", + ) { + self.rules.push(rule); + } + + // ============================================================ + // JOB TITLE / PROFESSION PATTERNS + // ============================================================ + + // "Alice is a software engineer" / "John is an architect" + if let Ok(rule) = ExtractionRule::new( + "3p_job_title", + &format!( + r"(?i){name}\s+is\s+(?:a|an)\s+([A-Za-z][a-zA-Z\s]+?)(?:\.|,|!|\?|$|\s+(?:at|who|and|with))" + ), + MemoryKind::Fact, + "$1", + "job_title", + "$2", + ) { + self.rules.push(rule); + } + + // "Alice works as a product manager" / "John works as an engineer" + if let Ok(rule) = ExtractionRule::new( + "3p_job_works_as", + &format!( + r"(?i){name}\s+works\s+as\s+(?:a|an)\s+([A-Za-z][a-zA-Z\s]+?)(?:\.|,|!|\?|$|\s+(?:at|in|for))" + ), + MemoryKind::Fact, + "$1", + "job_title", + "$2", + ) { + self.rules.push(rule); + } + + // ============================================================ + // RELATIONSHIP PATTERNS + // ============================================================ + + // "Alice is married to Bob" / "John is engaged to Mary" + if let Ok(rule) = ExtractionRule::new( + "3p_relationship_married", + &format!( + r"(?i){name}\s+is\s+(?:married to|engaged to|dating|in a relationship with|the (?:wife|husband|partner|spouse) of)\s+([A-Z][a-z]+(?:\s+[A-Z][a-z]+)?)(?:\.|,|!|\?|$)" + ), + MemoryKind::Relationship, + "$1", + "spouse", + "$2", + ) { + self.rules.push(rule); + } + + // "Alice and Bob are married" / "John and Mary are dating" + if let Ok(rule) = ExtractionRule::new( + "3p_relationship_pair", + &format!( + r"(?i){name}\s+and\s+([A-Z][a-z]+(?:\s+[A-Z][a-z]+)?)\s+are\s+(?:married|engaged|dating|partners|a couple)(?:\.|,|!|\?|$)" + ), + MemoryKind::Relationship, + "$1", + "spouse", + "$2", + ) { + self.rules.push(rule); + } + + // "Alice is Bob's wife" / "John is Mary's husband" + if let Ok(rule) = ExtractionRule::new( + "3p_relationship_possessive", + &format!( + r"(?i){name}\s+is\s+([A-Z][a-z]+(?:\s+[A-Z][a-z]+)?)'s\s+(wife|husband|partner|spouse|girlfriend|boyfriend|fiancé|fiancee)(?:\.|,|!|\?|$)" + ), + MemoryKind::Relationship, + "$1", + "spouse", + "$2", + ) { + self.rules.push(rule); + } + + // "Alice's husband is Bob" / "John's wife is Mary" + if let Ok(rule) = ExtractionRule::new( + "3p_relationship_poss_is", + &format!( + r"(?i){name}'s\s+(?:wife|husband|partner|spouse|girlfriend|boyfriend)\s+is\s+([A-Z][a-z]+(?:\s+[A-Z][a-z]+)?)(?:\.|,|!|\?|$)" + ), + MemoryKind::Relationship, + "$1", + "spouse", + "$2", + ) { + self.rules.push(rule); + } + + // Family relationships: "Alice is Bob's mother/sister/etc." + if let Ok(rule) = ExtractionRule::new( + "3p_family_member", + &format!( + r"(?i){name}\s+is\s+([A-Z][a-z]+(?:\s+[A-Z][a-z]+)?)'s\s+(mother|father|sister|brother|son|daughter|aunt|uncle|cousin|grandmother|grandfather|grandma|grandpa|mom|dad)(?:\.|,|!|\?|$)" + ), + MemoryKind::Relationship, + "$1", + "$3", + "$2", + ) { + self.rules.push(rule); + } + + // "Alice has a brother named Bob" + if let Ok(rule) = ExtractionRule::new( + "3p_family_named", + &format!( + r"(?i){name}\s+has\s+(?:a\s+)?(brother|sister|son|daughter|mother|father)\s+(?:named|called)\s+([A-Z][a-z]+(?:\s+[A-Z][a-z]+)?)(?:\.|,|!|\?|$)" + ), + MemoryKind::Relationship, + "$1", + "$2", + "$3", + ) { + self.rules.push(rule); + } + + // ============================================================ + // PREFERENCE PATTERNS + // ============================================================ + + // "Alice loves pizza" / "John enjoys hiking" (positive) + if let Ok(rule) = ExtractionRule::preference( + "3p_preference_positive", + &format!( + r"(?i){name}\s+(?:loves|likes|enjoys|adores|prefers|is fond of)\s+([\w\s]+?)(?:\.|,|!|\?|$)" + ), + "$1", + "preference", + "$2", + Polarity::Positive, + ) { + self.rules.push(rule); + } + + // "Alice hates spiders" / "John dislikes crowds" (negative) + if let Ok(rule) = ExtractionRule::preference( + "3p_preference_negative", + &format!( + r"(?i){name}\s+(?:hates|dislikes|despises|can't stand|doesn't like|avoids)\s+([\w\s]+?)(?:\.|,|!|\?|$)" + ), + "$1", + "preference", + "$2", + Polarity::Negative, + ) { + self.rules.push(rule); + } + + // "Alice's favorite food is sushi" + if let Ok(rule) = ExtractionRule::new( + "3p_favorite", + &format!( + r"(?i){name}'s\s+(?:favorite|favourite)\s+(\w+)\s+is\s+([\w\s]+?)(?:\.|,|!|\?|$)" + ), + MemoryKind::Preference, + "$1", + "favorite_$2", + "$3", + ) { + self.rules.push(rule); + } + + // ============================================================ + // EDUCATION PATTERNS + // ============================================================ + + // "Alice studied at MIT" / "John graduated from Harvard" + if let Ok(rule) = ExtractionRule::new( + "3p_education_studied", + &format!( + r"(?i){name}\s+(?:studied at|graduated from|attends|attended|went to|goes to)\s+([A-Z][a-zA-Z\s]+?(?:University|College|Institute|School|Academy)?)(?:\.|,|!|\?|$)" + ), + MemoryKind::Fact, + "$1", + "education", + "$2", + ) { + self.rules.push(rule); + } + + // "Alice has a degree in Computer Science" + if let Ok(rule) = ExtractionRule::new( + "3p_education_degree", + &format!( + r"(?i){name}\s+has\s+(?:a\s+)?(?:degree|PhD|doctorate|masters?|bachelors?|BA|BS|MS|MBA)\s+in\s+([A-Za-z\s]+?)(?:\.|,|!|\?|$|\s+from)" + ), + MemoryKind::Fact, + "$1", + "degree", + "$2", + ) { + self.rules.push(rule); + } + + // "Alice majored in Physics" + if let Ok(rule) = ExtractionRule::new( + "3p_education_major", + &format!( + r"(?i){name}\s+(?:majored in|minored in|studied)\s+([A-Za-z\s]+?)(?:\.|,|!|\?|$|\s+at)" + ), + MemoryKind::Fact, + "$1", + "field_of_study", + "$2", + ) { + self.rules.push(rule); + } + + // ============================================================ + // PROFILE / BIO PATTERNS + // ============================================================ + + // "Alice is 28 years old" / "John is 35" + if let Ok(rule) = ExtractionRule::new( + "3p_age", + &format!( + r"(?i){name}\s+is\s+(\d{{1,3}})\s*(?:years old|yrs old|yo)?(?:\.|,|!|\?|$|\s)" + ), + MemoryKind::Profile, + "$1", + "age", + "$2", + ) { + self.rules.push(rule); + } + + // "Alice was born in 1990" / "John was born on March 15" + if let Ok(rule) = ExtractionRule::new( + "3p_birthdate", + &format!( + r"(?i){name}\s+was\s+born\s+(?:in|on)\s+(\w+(?:\s+\d{{1,2}}(?:st|nd|rd|th)?)?(?:,?\s+\d{{4}})?)(?:\.|,|!|\?|$)" + ), + MemoryKind::Profile, + "$1", + "birthdate", + "$2", + ) { + self.rules.push(rule); + } + + // "Alice is from Boston" - birthplace + if let Ok(rule) = ExtractionRule::new( + "3p_birthplace", + &format!( + r"(?i){name}\s+(?:is|was)\s+(?:originally\s+)?from\s+([A-Z][a-zA-Z\s,]+?)(?:\.|!|\?|$|\s+but)" + ), + MemoryKind::Profile, + "$1", + "birthplace", + "$2", + ) { + self.rules.push(rule); + } + + // "Alice's email is alice@example.com" + if let Ok(rule) = ExtractionRule::new( + "3p_email", + &format!(r"(?i){name}'s\s+email\s+(?:is|address is)\s+([\w\.\-]+@[\w\.\-]+\.\w+)"), + MemoryKind::Profile, + "$1", + "email", + "$2", + ) { + self.rules.push(rule); + } + + // ============================================================ + // HOBBY / INTEREST PATTERNS + // ============================================================ + + // "Alice plays tennis" / "John plays the piano" + if let Ok(rule) = ExtractionRule::new( + "3p_hobby_plays", + &format!( + r"(?i){name}\s+plays\s+(?:the\s+)?([\w\s]+?)(?:\.|,|!|\?|$|\s+(?:every|on|and))" + ), + MemoryKind::Preference, + "$1", + "hobby", + "$2", + ) { + self.rules.push(rule); + } + + // "Alice is into photography" / "John is interested in astronomy" + if let Ok(rule) = ExtractionRule::new( + "3p_interest", + &format!( + r"(?i){name}\s+is\s+(?:into|interested in|passionate about|really into)\s+([\w\s]+?)(?:\.|,|!|\?|$)" + ), + MemoryKind::Preference, + "$1", + "interest", + "$2", + ) { + self.rules.push(rule); + } + + // ============================================================ + // PET PATTERNS + // ============================================================ + + // "Alice has a cat named Whiskers" + if let Ok(rule) = ExtractionRule::new( + "3p_pet_named", + &format!( + r"(?i){name}\s+has\s+(?:a\s+)?(dog|cat|bird|fish|hamster|rabbit|pet)\s+(?:named|called)\s+([A-Z][a-z]+)(?:\.|,|!|\?|$)" + ), + MemoryKind::Fact, + "$1", + "pet_name", + "$3", + ) { + self.rules.push(rule); + } + + // "Alice's dog is named Max" + if let Ok(rule) = ExtractionRule::new( + "3p_pet_poss_named", + &format!( + r"(?i){name}'s\s+(dog|cat|bird|fish|hamster|rabbit|pet)\s+is\s+(?:named|called)\s+([A-Z][a-z]+)(?:\.|,|!|\?|$)" + ), + MemoryKind::Fact, + "$1", + "pet_name", + "$3", + ) { + self.rules.push(rule); + } + + // "Alice owns a golden retriever" + if let Ok(rule) = ExtractionRule::new( + "3p_pet_owns", + &format!( + r"(?i){name}\s+(?:owns|has)\s+(?:a\s+)?([\w\s]+?)\s+(?:dog|cat|bird|fish|hamster|rabbit)(?:\.|,|!|\?|$)" + ), + MemoryKind::Fact, + "$1", + "pet", + "$2", + ) { + self.rules.push(rule); + } + + // ============================================================ + // EVENT PATTERNS + // ============================================================ + + // "Alice visited Paris" / "John traveled to Japan" + if let Ok(rule) = ExtractionRule::new( + "3p_travel", + &format!( + r"(?i){name}\s+(?:visited|traveled to|travelled to|went to|is going to|will visit)\s+([A-Z][a-zA-Z\s,]+?)(?:\s+(?:last|this|next)|\.|,|!|\?|$)" + ), + MemoryKind::Event, + "$1", + "travel", + "$2", + ) { + self.rules.push(rule); + } + + // "Alice started at Google in 2020" + if let Ok(rule) = ExtractionRule::new( + "3p_career_event", + &format!( + r"(?i){name}\s+(?:started|joined|left|quit|founded)\s+(?:at\s+)?([A-Z][a-zA-Z0-9\s&]+?)(?:\s+in\s+\d{{4}})?(?:\.|,|!|\?|$)" + ), + MemoryKind::Event, + "$1", + "career_event", + "$2", + ) { + self.rules.push(rule); + } + } + + /// Get the number of rules in this engine. + #[must_use] + pub fn rule_count(&self) -> usize { + self.rules.len() + } +} + +impl EnrichmentEngine for RulesEngine { + fn kind(&self) -> &'static str { + "rules" + } + + fn version(&self) -> &str { + &self.version + } + + fn enrich(&self, ctx: &EnrichmentContext) -> EnrichmentResult { + let mut all_cards = Vec::new(); + + for rule in &self.rules { + let cards = rule.apply(ctx); + all_cards.extend(cards); + } + + EnrichmentResult::success(all_cards) + } +} + +#[cfg(test)] +mod tests { + use super::*; + + fn test_context(text: &str) -> EnrichmentContext { + EnrichmentContext::new( + 1, + "mv2://test/msg-1".to_string(), + text.to_string(), + None, + 1700000000, + None, + ) + } + + #[test] + fn test_rules_engine_default() { + let engine = RulesEngine::new(); + assert!(engine.rule_count() > 0); + assert_eq!(engine.kind(), "rules"); + assert_eq!(engine.version(), "1.0.0"); + } + + #[test] + fn test_extract_employer() { + let engine = RulesEngine::new(); + let ctx = test_context("Hi, I work at Anthropic."); + let result = engine.enrich(&ctx); + + assert!(result.success); + // Find the first-person employer card + let card = result + .cards + .iter() + .find(|c| c.entity == "user" && c.slot == "employer") + .unwrap(); + assert_eq!(card.value, "Anthropic"); + } + + #[test] + fn test_extract_location() { + let engine = RulesEngine::new(); + let ctx = test_context("I live in San Francisco."); + let result = engine.enrich(&ctx); + + assert!(result.success); + // Find the first-person location card + let card = result + .cards + .iter() + .find(|c| c.entity == "user" && c.slot == "location") + .unwrap(); + assert_eq!(card.value, "San Francisco"); + } + + #[test] + fn test_extract_preference_positive() { + let engine = RulesEngine::new(); + let ctx = test_context("I really love sushi."); + let result = engine.enrich(&ctx); + + assert!(result.success); + assert_eq!(result.cards.len(), 1); + assert_eq!(result.cards[0].kind, MemoryKind::Preference); + assert_eq!(result.cards[0].slot, "food_preference"); + assert_eq!(result.cards[0].value, "sushi"); + assert_eq!(result.cards[0].polarity, Some(Polarity::Positive)); + } + + #[test] + fn test_extract_preference_negative() { + let engine = RulesEngine::new(); + let ctx = test_context("I really hate cilantro."); + let result = engine.enrich(&ctx); + + assert!(result.success); + assert_eq!(result.cards.len(), 1); + assert_eq!(result.cards[0].polarity, Some(Polarity::Negative)); + assert_eq!(result.cards[0].value, "cilantro"); + } + + #[test] + fn test_multiple_extractions() { + let engine = RulesEngine::new(); + let ctx = test_context("I work at Google. I live in Mountain View. I love programming."); + let result = engine.enrich(&ctx); + + assert!(result.success); + assert!(result.cards.len() >= 2); + } + + #[test] + fn test_no_matches() { + let engine = RulesEngine::new(); + let ctx = test_context("The weather is nice today."); + let result = engine.enrich(&ctx); + + assert!(result.success); + assert!(result.cards.is_empty()); + } + + #[test] + fn test_extract_name() { + let engine = RulesEngine::new(); + let ctx = test_context("My name is John Smith."); + let result = engine.enrich(&ctx); + + assert!(result.success); + assert_eq!(result.cards.len(), 1); + assert_eq!(result.cards[0].slot, "name"); + assert_eq!(result.cards[0].value, "John Smith"); + } + + #[test] + fn test_extract_pet() { + let engine = RulesEngine::new(); + let ctx = test_context("I have a golden retriever named Max."); + let result = engine.enrich(&ctx); + + assert!(result.success); + // Should extract both "pet" and "pet_name" + let pet_card = result.cards.iter().find(|c| c.slot == "pet"); + let name_card = result.cards.iter().find(|c| c.slot == "pet_name"); + assert!(pet_card.is_some()); + assert!(name_card.is_some()); + assert_eq!(name_card.unwrap().value, "Max"); + } + + #[test] + fn test_custom_rule() { + let mut engine = RulesEngine::empty(); + let rule = ExtractionRule::new( + "custom", + r"(?i)favorite color is\s+(\w+)", + MemoryKind::Preference, + "user", + "favorite_color", + "$1", + ) + .unwrap(); + engine.add_rule(rule); + + let ctx = test_context("My favorite color is blue."); + let result = engine.enrich(&ctx); + + assert!(result.success); + assert_eq!(result.cards.len(), 1); + assert_eq!(result.cards[0].slot, "favorite_color"); + assert_eq!(result.cards[0].value, "blue"); + } + + // ======================================================== + // THIRD-PERSON PATTERN TESTS + // ======================================================== + + #[test] + fn test_3p_employer() { + let engine = RulesEngine::new(); + let ctx = test_context("Alice works at Acme Corp."); + let result = engine.enrich(&ctx); + + assert!(result.success); + let card = result.cards.iter().find(|c| c.slot == "employer").unwrap(); + assert_eq!(card.entity, "alice"); + assert_eq!(card.value, "Acme Corp"); + } + + #[test] + fn test_3p_employer_variations() { + let engine = RulesEngine::new(); + + // "is employed at" + let ctx = test_context("John Smith is employed at Google."); + let result = engine.enrich(&ctx); + let card = result.cards.iter().find(|c| c.slot == "employer").unwrap(); + assert_eq!(card.entity, "john smith"); + assert_eq!(card.value, "Google"); + + // "joined" + let ctx = test_context("Mary joined Microsoft."); + let result = engine.enrich(&ctx); + let card = result.cards.iter().find(|c| c.slot == "employer").unwrap(); + assert_eq!(card.entity, "mary"); + assert_eq!(card.value, "Microsoft"); + } + + #[test] + fn test_3p_location() { + let engine = RulesEngine::new(); + + // "lives in" + let ctx = test_context("Alice lives in San Francisco."); + let result = engine.enrich(&ctx); + let card = result.cards.iter().find(|c| c.slot == "location").unwrap(); + assert_eq!(card.entity, "alice"); + assert_eq!(card.value, "San Francisco"); + + // "is based in" + let ctx = test_context("Bob is based in New York City."); + let result = engine.enrich(&ctx); + let card = result.cards.iter().find(|c| c.slot == "location").unwrap(); + assert_eq!(card.entity, "bob"); + assert!(card.value.contains("New York")); + } + + #[test] + fn test_3p_job_title() { + let engine = RulesEngine::new(); + + // "is a" + let ctx = test_context("Alice is a software engineer."); + let result = engine.enrich(&ctx); + let card = result.cards.iter().find(|c| c.slot == "job_title").unwrap(); + assert_eq!(card.entity, "alice"); + assert_eq!(card.value, "software engineer"); + + // "works as" + let ctx = test_context("John works as a product manager."); + let result = engine.enrich(&ctx); + let card = result.cards.iter().find(|c| c.slot == "job_title").unwrap(); + assert_eq!(card.entity, "john"); + assert_eq!(card.value, "product manager"); + } + + #[test] + fn test_3p_relationship_married() { + let engine = RulesEngine::new(); + + // "is married to" + let ctx = test_context("Alice is married to Bob."); + let result = engine.enrich(&ctx); + let card = result.cards.iter().find(|c| c.slot == "spouse").unwrap(); + assert_eq!(card.entity, "alice"); + assert_eq!(card.value, "Bob"); + + // "and are married" + let ctx = test_context("John and Mary are married."); + let result = engine.enrich(&ctx); + let card = result.cards.iter().find(|c| c.slot == "spouse").unwrap(); + assert_eq!(card.entity, "john"); + assert_eq!(card.value, "Mary"); + } + + #[test] + fn test_3p_preference_positive() { + let engine = RulesEngine::new(); + let ctx = test_context("Alice loves sushi."); + let result = engine.enrich(&ctx); + + let card = result + .cards + .iter() + .find(|c| c.slot == "preference") + .unwrap(); + assert_eq!(card.entity, "alice"); + assert_eq!(card.value, "sushi"); + assert_eq!(card.polarity, Some(Polarity::Positive)); + } + + #[test] + fn test_3p_preference_negative() { + let engine = RulesEngine::new(); + let ctx = test_context("Bob hates spiders."); + let result = engine.enrich(&ctx); + + let card = result + .cards + .iter() + .find(|c| c.slot == "preference") + .unwrap(); + assert_eq!(card.entity, "bob"); + assert_eq!(card.value, "spiders"); + assert_eq!(card.polarity, Some(Polarity::Negative)); + } + + #[test] + fn test_3p_education() { + let engine = RulesEngine::new(); + + // "graduated from" + let ctx = test_context("Alice graduated from MIT."); + let result = engine.enrich(&ctx); + let card = result.cards.iter().find(|c| c.slot == "education").unwrap(); + assert_eq!(card.entity, "alice"); + assert_eq!(card.value, "MIT"); + + // "studied at" + let ctx = test_context("John studied at Stanford University."); + let result = engine.enrich(&ctx); + let card = result.cards.iter().find(|c| c.slot == "education").unwrap(); + assert_eq!(card.entity, "john"); + assert!(card.value.contains("Stanford")); + } + + #[test] + fn test_3p_age() { + let engine = RulesEngine::new(); + let ctx = test_context("Alice is 28 years old."); + let result = engine.enrich(&ctx); + + let card = result.cards.iter().find(|c| c.slot == "age").unwrap(); + assert_eq!(card.entity, "alice"); + assert_eq!(card.value, "28"); + } + + #[test] + fn test_3p_travel() { + let engine = RulesEngine::new(); + let ctx = test_context("Alice visited Paris."); + let result = engine.enrich(&ctx); + + let card = result.cards.iter().find(|c| c.slot == "travel").unwrap(); + assert_eq!(card.entity, "alice"); + assert_eq!(card.value, "Paris"); + } + + #[test] + fn test_3p_hobby() { + let engine = RulesEngine::new(); + let ctx = test_context("Bob plays tennis."); + let result = engine.enrich(&ctx); + + let card = result.cards.iter().find(|c| c.slot == "hobby").unwrap(); + assert_eq!(card.entity, "bob"); + assert_eq!(card.value, "tennis"); + } + + #[test] + fn test_3p_multiple_extractions() { + let engine = RulesEngine::new(); + let ctx = test_context( + "Alice works at Google. She lives in Mountain View. Bob is a doctor in Seattle.", + ); + let result = engine.enrich(&ctx); + + assert!(result.success); + // Should extract multiple facts about Alice and Bob + let alice_employer = result + .cards + .iter() + .find(|c| c.entity == "alice" && c.slot == "employer"); + let bob_job = result + .cards + .iter() + .find(|c| c.entity == "bob" && c.slot == "job_title"); + + assert!(alice_employer.is_some()); + assert!(bob_job.is_some()); + } + + #[test] + fn test_entity_normalization() { + let engine = RulesEngine::new(); + + // Entities should be normalized to lowercase for consistent O(1) lookups + let ctx = test_context("ALICE SMITH works at Acme."); + let result = engine.enrich(&ctx); + + let card = result.cards.iter().find(|c| c.slot == "employer"); + assert!(card.is_some()); + // Entity should be lowercase + assert_eq!(card.unwrap().entity, "alice smith"); + } + + #[test] + fn test_3p_pet() { + let engine = RulesEngine::new(); + let ctx = test_context("Alice has a cat named Whiskers."); + let result = engine.enrich(&ctx); + + let card = result.cards.iter().find(|c| c.slot == "pet_name").unwrap(); + assert_eq!(card.entity, "alice"); + assert_eq!(card.value, "Whiskers"); + } + + #[test] + fn test_3p_family() { + let engine = RulesEngine::new(); + let ctx = test_context("Alice has a brother named Bob."); + let result = engine.enrich(&ctx); + + let card = result.cards.iter().find(|c| c.slot == "brother").unwrap(); + assert_eq!(card.entity, "alice"); + assert_eq!(card.value, "Bob"); + } +} diff --git a/src/enrichment_worker.rs b/src/enrichment_worker.rs new file mode 100644 index 0000000..88e88c1 --- /dev/null +++ b/src/enrichment_worker.rs @@ -0,0 +1,594 @@ +//! Background enrichment worker for progressive ingestion. +//! +//! Processes frames in the enrichment queue asynchronously: +//! - Re-extracts full text for skim extractions +//! - Generates embeddings with batching and checkpointing +//! - Updates Tantivy index with enriched content +//! - Marks frames as Enriched when complete + +use std::sync::Arc; +use std::sync::atomic::{AtomicBool, AtomicU64, Ordering}; +use std::time::{Duration, Instant}; + +use crate::error::Result; +use crate::types::{EnrichmentTask, FrameId, VecEmbedder}; + +/// Configuration for the enrichment worker. +#[derive(Debug, Clone)] +pub struct EnrichmentWorkerConfig { + /// Batch size for embedding generation. + pub embedding_batch_size: usize, + /// Checkpoint interval (persist progress every N embeddings). + pub checkpoint_interval: usize, + /// Delay between processing tasks (to avoid blocking writers). + pub task_delay_ms: u64, + /// Maximum time to spend on a single task before yielding. + pub max_task_time_ms: u64, +} + +impl Default for EnrichmentWorkerConfig { + fn default() -> Self { + Self { + embedding_batch_size: 32, + checkpoint_interval: 100, + task_delay_ms: 50, + max_task_time_ms: 5000, + } + } +} + +/// Statistics for the enrichment worker. +#[derive(Debug, Clone, Default)] +pub struct EnrichmentWorkerStats { + /// Total frames processed. + pub frames_processed: u64, + /// Total embeddings generated. + pub embeddings_generated: u64, + /// Total re-extractions performed. + pub re_extractions: u64, + /// Total errors encountered. + pub errors: u64, + /// Current queue depth. + pub queue_depth: usize, + /// Whether worker is currently running. + pub is_running: bool, +} + +/// Handle for controlling the background enrichment worker. +pub struct EnrichmentWorkerHandle { + /// Signal to stop the worker. + stop_signal: Arc, + /// Counter for frames processed. + frames_processed: Arc, + /// Counter for embeddings generated. + embeddings_generated: Arc, + /// Counter for re-extractions. + re_extractions: Arc, + /// Counter for errors. + errors: Arc, + /// Running state. + is_running: Arc, +} + +impl EnrichmentWorkerHandle { + /// Create a new worker handle. + #[must_use] + pub fn new() -> Self { + Self { + stop_signal: Arc::new(AtomicBool::new(false)), + frames_processed: Arc::new(AtomicU64::new(0)), + embeddings_generated: Arc::new(AtomicU64::new(0)), + re_extractions: Arc::new(AtomicU64::new(0)), + errors: Arc::new(AtomicU64::new(0)), + is_running: Arc::new(AtomicBool::new(false)), + } + } + + /// Signal the worker to stop. + pub fn stop(&self) { + self.stop_signal.store(true, Ordering::SeqCst); + } + + /// Check if stop was requested. + #[must_use] + pub fn should_stop(&self) -> bool { + self.stop_signal.load(Ordering::SeqCst) + } + + /// Check if worker is currently running. + #[must_use] + pub fn is_running(&self) -> bool { + self.is_running.load(Ordering::SeqCst) + } + + /// Get current statistics. + #[must_use] + pub fn stats(&self) -> EnrichmentWorkerStats { + EnrichmentWorkerStats { + frames_processed: self.frames_processed.load(Ordering::Relaxed), + embeddings_generated: self.embeddings_generated.load(Ordering::Relaxed), + re_extractions: self.re_extractions.load(Ordering::Relaxed), + errors: self.errors.load(Ordering::Relaxed), + queue_depth: 0, // Will be updated by caller + is_running: self.is_running.load(Ordering::Relaxed), + } + } + + /// Increment frames processed counter. + pub(crate) fn inc_frames_processed(&self) { + self.frames_processed.fetch_add(1, Ordering::Relaxed); + } + + /// Increment embeddings generated counter. + pub(crate) fn inc_embeddings(&self, count: u64) { + self.embeddings_generated + .fetch_add(count, Ordering::Relaxed); + } + + /// Increment re-extractions counter. + pub(crate) fn inc_re_extractions(&self) { + self.re_extractions.fetch_add(1, Ordering::Relaxed); + } + + /// Increment errors counter. + pub(crate) fn inc_errors(&self) { + self.errors.fetch_add(1, Ordering::Relaxed); + } + + /// Set running state. + pub(crate) fn set_running(&self, running: bool) { + self.is_running.store(running, Ordering::SeqCst); + } + + /// Clone the handle for sharing with the worker thread. + #[must_use] + pub fn clone_handle(&self) -> Self { + Self { + stop_signal: Arc::clone(&self.stop_signal), + frames_processed: Arc::clone(&self.frames_processed), + embeddings_generated: Arc::clone(&self.embeddings_generated), + re_extractions: Arc::clone(&self.re_extractions), + errors: Arc::clone(&self.errors), + is_running: Arc::clone(&self.is_running), + } + } +} + +impl Default for EnrichmentWorkerHandle { + fn default() -> Self { + Self::new() + } +} + +/// Result of processing a single enrichment task. +#[derive(Debug)] +pub struct TaskResult { + /// Frame ID that was processed. + pub frame_id: FrameId, + /// Whether full re-extraction was performed. + pub re_extracted: bool, + /// Number of embeddings generated. + pub embeddings_generated: usize, + /// Time spent processing. + pub elapsed_ms: u64, + /// Error if processing failed. + pub error: Option, +} + +/// Batched embedding generator for efficient embedding creation. +/// +/// Collects text chunks and generates embeddings in batches to minimize +/// API calls and improve throughput. +pub struct EmbeddingBatcher { + /// The embedder to use for generating embeddings. + embedder: E, + /// Batch size for embedding generation. + batch_size: usize, + /// Pending texts to embed. + pending_texts: Vec<(FrameId, String)>, + /// Generated embeddings ready to store. + ready_embeddings: Vec<(FrameId, Vec)>, +} + +impl EmbeddingBatcher { + /// Create a new embedding batcher. + pub fn new(embedder: E, batch_size: usize) -> Self { + Self { + embedder, + batch_size: batch_size.max(1), + pending_texts: Vec::new(), + ready_embeddings: Vec::new(), + } + } + + /// Add a frame's text for embedding. + pub fn add(&mut self, frame_id: FrameId, text: String) { + self.pending_texts.push((frame_id, text)); + } + + /// Get the number of pending texts. + pub fn pending_count(&self) -> usize { + self.pending_texts.len() + } + + /// Get the number of ready embeddings. + pub fn ready_count(&self) -> usize { + self.ready_embeddings.len() + } + + /// Check if a batch is ready to process. + pub fn should_flush(&self) -> bool { + self.pending_texts.len() >= self.batch_size + } + + /// Process pending texts and generate embeddings. + /// + /// Returns the number of embeddings generated. + pub fn flush(&mut self) -> Result { + if self.pending_texts.is_empty() { + return Ok(0); + } + + // Take all pending texts + let pending: Vec<_> = std::mem::take(&mut self.pending_texts); + let count = pending.len(); + + // Extract texts for batch embedding + let texts: Vec<&str> = pending.iter().map(|(_, text)| text.as_str()).collect(); + + // Generate embeddings in batch + let embeddings = self.embedder.embed_chunks(&texts)?; + + // Store results + for ((frame_id, _), embedding) in pending.into_iter().zip(embeddings.into_iter()) { + self.ready_embeddings.push((frame_id, embedding)); + } + + Ok(count) + } + + /// Take all ready embeddings. + pub fn take_embeddings(&mut self) -> Vec<(FrameId, Vec)> { + std::mem::take(&mut self.ready_embeddings) + } + + /// Get embedding dimension from the embedder. + pub fn dimension(&self) -> usize { + self.embedder.embedding_dimension() + } +} + +/// Enrichment task processor (stateless, operates on Memvid instance). +pub struct EnrichmentProcessor { + /// Worker configuration. + pub config: EnrichmentWorkerConfig, +} + +impl EnrichmentProcessor { + /// Create a new enrichment processor. + #[must_use] + pub fn new(config: EnrichmentWorkerConfig) -> Self { + Self { config } + } + + /// Process a single enrichment task. + /// + /// This method: + /// 1. Reads the frame from the memory + /// 2. If frame needs re-extraction (skim), performs full extraction + /// 3. If frame needs embeddings, generates them with batching + /// 4. Updates the Tantivy index + /// 5. Returns the result + /// + /// The caller is responsible for: + /// - Acquiring write lock on the memory + /// - Updating the enrichment queue + /// - Persisting changes + pub fn process_task( + &self, + task: &EnrichmentTask, + read_frame: F, + extract_full: E, + update_index: R, + ) -> TaskResult + where + F: FnOnce(FrameId) -> Option<(String, bool, bool)>, // (text, is_skim, needs_embedding) + E: FnOnce(FrameId) -> Result, // Full extraction + R: FnOnce(FrameId, &str) -> Result<()>, // Update index + { + let start = Instant::now(); + let mut result = TaskResult { + frame_id: task.frame_id, + re_extracted: false, + embeddings_generated: 0, + elapsed_ms: 0, + error: None, + }; + + // Read current frame state + let (text, is_skim, _needs_embedding) = if let Some(data) = read_frame(task.frame_id) { + data + } else { + result.error = Some("Frame not found".to_string()); + result.elapsed_ms = start.elapsed().as_millis().try_into().unwrap_or(u64::MAX); + return result; + }; + + // Re-extract if this was a skim + let final_text = if is_skim { + match extract_full(task.frame_id) { + Ok(full_text) => { + result.re_extracted = true; + full_text + } + Err(err) => { + tracing::warn!( + frame_id = task.frame_id, + ?err, + "re-extraction failed, using skim text" + ); + text + } + } + } else { + text + }; + + // Update index with enriched content + if let Err(err) = update_index(task.frame_id, &final_text) { + result.error = Some(format!("Index update failed: {err}")); + } + + result.elapsed_ms = start.elapsed().as_millis().try_into().unwrap_or(u64::MAX); + result + } +} + +/// Run the enrichment worker loop. +/// +/// This function should be called from a background thread. +/// It processes tasks from the enrichment queue until stopped. +/// +/// # Arguments +/// * `handle` - Worker handle for control and statistics +/// * `config` - Worker configuration +/// * `get_next_task` - Closure to get the next task from the queue +/// * `process_task` - Closure to process a single task +/// * `mark_complete` - Closure to mark a task as complete +/// * `checkpoint` - Closure to save progress +pub fn run_worker_loop( + handle: &EnrichmentWorkerHandle, + config: &EnrichmentWorkerConfig, + mut get_next_task: G, + mut process_task: P, + mut mark_complete: M, + mut checkpoint: C, +) where + G: FnMut() -> Option, + P: FnMut(&EnrichmentTask) -> TaskResult, + M: FnMut(FrameId), + C: FnMut(), +{ + handle.set_running(true); + tracing::info!("enrichment worker started"); + + let mut tasks_since_checkpoint = 0; + + while !handle.should_stop() { + // Get next task + let task = if let Some(task) = get_next_task() { + task + } else { + // Queue is empty, wait and check again + std::thread::sleep(Duration::from_millis(config.task_delay_ms * 10)); + continue; + }; + + // Process the task + let result = process_task(&task); + + // Update statistics + handle.inc_frames_processed(); + if result.re_extracted { + handle.inc_re_extractions(); + } + if result.embeddings_generated > 0 { + handle.inc_embeddings(result.embeddings_generated as u64); + } + if result.error.is_some() { + handle.inc_errors(); + tracing::warn!( + frame_id = task.frame_id, + error = ?result.error, + "enrichment task failed" + ); + } else { + tracing::debug!( + frame_id = task.frame_id, + re_extracted = result.re_extracted, + embeddings = result.embeddings_generated, + elapsed_ms = result.elapsed_ms, + "enrichment task complete" + ); + } + + // Mark task complete (remove from queue) + mark_complete(task.frame_id); + tasks_since_checkpoint += 1; + + // Checkpoint periodically + if tasks_since_checkpoint >= config.checkpoint_interval { + checkpoint(); + tasks_since_checkpoint = 0; + } + + // Yield to other threads + std::thread::sleep(Duration::from_millis(config.task_delay_ms)); + } + + // Final checkpoint + if tasks_since_checkpoint > 0 { + checkpoint(); + } + + handle.set_running(false); + tracing::info!( + frames_processed = handle.frames_processed.load(Ordering::Relaxed), + "enrichment worker stopped" + ); +} + +#[cfg(test)] +mod tests { + use super::*; + + /// Mock embedder for testing + struct MockEmbedder { + dimension: usize, + } + + impl MockEmbedder { + fn new(dimension: usize) -> Self { + Self { dimension } + } + } + + impl crate::types::VecEmbedder for MockEmbedder { + fn embed_query(&self, text: &str) -> Result> { + // Generate deterministic embedding based on text length + let seed = text.len() as f32; + Ok((0..self.dimension) + .map(|i| (seed + i as f32) * 0.1) + .collect()) + } + + fn embedding_dimension(&self) -> usize { + self.dimension + } + } + + #[test] + fn test_embedding_batcher_basic() { + let embedder = MockEmbedder::new(4); + let mut batcher = EmbeddingBatcher::new(embedder, 2); + + assert_eq!(batcher.pending_count(), 0); + assert_eq!(batcher.ready_count(), 0); + assert!(!batcher.should_flush()); + + // Add one item - shouldn't trigger flush yet + batcher.add(1, "hello".to_string()); + assert_eq!(batcher.pending_count(), 1); + assert!(!batcher.should_flush()); + + // Add second item - should trigger flush + batcher.add(2, "world".to_string()); + assert_eq!(batcher.pending_count(), 2); + assert!(batcher.should_flush()); + + // Flush the batch + let count = batcher.flush().expect("flush should succeed"); + assert_eq!(count, 2); + assert_eq!(batcher.pending_count(), 0); + assert_eq!(batcher.ready_count(), 2); + + // Take embeddings + let embeddings = batcher.take_embeddings(); + assert_eq!(embeddings.len(), 2); + assert_eq!(embeddings[0].0, 1); // frame_id + assert_eq!(embeddings[0].1.len(), 4); // dimension + assert_eq!(embeddings[1].0, 2); + assert_eq!(embeddings[1].1.len(), 4); + + // After take, ready should be empty + assert_eq!(batcher.ready_count(), 0); + } + + #[test] + fn test_embedding_batcher_dimension() { + let embedder = MockEmbedder::new(128); + let batcher = EmbeddingBatcher::new(embedder, 32); + assert_eq!(batcher.dimension(), 128); + } + + #[test] + fn test_embedding_batcher_flush_empty() { + let embedder = MockEmbedder::new(4); + let mut batcher = EmbeddingBatcher::new(embedder, 2); + + // Flushing empty batcher should return 0 + let count = batcher.flush().expect("flush should succeed"); + assert_eq!(count, 0); + } + + #[test] + fn test_worker_handle() { + let handle = EnrichmentWorkerHandle::new(); + assert!(!handle.is_running()); + assert!(!handle.should_stop()); + + handle.set_running(true); + assert!(handle.is_running()); + + handle.stop(); + assert!(handle.should_stop()); + + handle.inc_frames_processed(); + handle.inc_embeddings(10); + handle.inc_re_extractions(); + handle.inc_errors(); + + let stats = handle.stats(); + assert_eq!(stats.frames_processed, 1); + assert_eq!(stats.embeddings_generated, 10); + assert_eq!(stats.re_extractions, 1); + assert_eq!(stats.errors, 1); + } + + #[test] + fn test_processor() { + let processor = EnrichmentProcessor::new(EnrichmentWorkerConfig::default()); + let task = EnrichmentTask { + frame_id: 1, + created_at: 0, + chunks_done: 0, + chunks_total: 0, + }; + + let result = processor.process_task( + &task, + |_| Some(("test content".to_string(), false, false)), + |_| Ok("full content".to_string()), + |_, _| Ok(()), + ); + + assert_eq!(result.frame_id, 1); + assert!(!result.re_extracted); // Not a skim + assert!(result.error.is_none()); + } + + #[test] + fn test_processor_with_skim() { + let processor = EnrichmentProcessor::new(EnrichmentWorkerConfig::default()); + let task = EnrichmentTask { + frame_id: 2, + created_at: 0, + chunks_done: 0, + chunks_total: 0, + }; + + let result = processor.process_task( + &task, + |_| Some(("skim content".to_string(), true, false)), // is_skim = true + |_| Ok("full extracted content".to_string()), + |_, text| { + assert_eq!(text, "full extracted content"); + Ok(()) + }, + ); + + assert_eq!(result.frame_id, 2); + assert!(result.re_extracted); // Re-extraction happened + assert!(result.error.is_none()); + } +} diff --git a/src/error.rs b/src/error.rs new file mode 100644 index 0000000..0db1bbc --- /dev/null +++ b/src/error.rs @@ -0,0 +1,237 @@ +use std::borrow::Cow; +use std::path::PathBuf; + +use thiserror::Error; + +/// Result alias used throughout the core crate. +pub type Result = std::result::Result; + +/// Process metadata for a lock holder used to produce human readable diagnostics. +#[derive(Debug, Clone)] +pub struct LockOwnerHint { + pub pid: Option, + pub cmd: Option, + pub started_at: Option, + pub file_path: Option, + pub file_id: Option, + pub last_heartbeat: Option, + pub heartbeat_ms: Option, +} + +/// Structured error returned when a `.mv2` is locked by another writer. +#[derive(Debug, Error, Clone)] +#[error("{message}")] +pub struct LockedError { + pub file: PathBuf, + pub message: String, + pub owner: Option, + pub stale: bool, +} + +impl LockedError { + #[must_use] + pub fn new( + file: PathBuf, + message: impl Into, + owner: Option, + stale: bool, + ) -> Self { + Self { + file, + message: message.into(), + owner, + stale, + } + } +} + +/// Canonical error surface for memvid-core. +#[derive(Debug, Error)] +pub enum MemvidError { + #[error("I/O error: {source}")] + Io { + source: std::io::Error, + path: Option, + }, + + #[error("Serialization error: {0}")] + Encode(#[from] bincode::error::EncodeError), + + #[error("Deserialization error: {0}")] + Decode(#[from] bincode::error::DecodeError), + + #[error("Lock acquisition failed: {0}")] + Lock(String), + + #[error(transparent)] + Locked(#[from] Box), + + #[error("Checksum mismatch while validating {context}")] + ChecksumMismatch { context: &'static str }, + + #[error("Header validation failed: {reason}")] + InvalidHeader { reason: Cow<'static, str> }, + + #[error("This file is encrypted: {path}\n{hint}")] + EncryptedFile { path: PathBuf, hint: String }, + + #[error("Table of contents validation failed: {reason}")] + InvalidToc { reason: Cow<'static, str> }, + + #[error("Time index track is invalid: {reason}")] + InvalidTimeIndex { reason: Cow<'static, str> }, + + #[error("Sketch track is invalid: {reason}")] + InvalidSketchTrack { reason: Cow<'static, str> }, + + #[cfg(feature = "temporal_track")] + #[error("Temporal track is invalid: {reason}")] + InvalidTemporalTrack { reason: Cow<'static, str> }, + + #[error("Logic-Mesh is invalid: {reason}")] + InvalidLogicMesh { reason: Cow<'static, str> }, + + #[error("Logic-Mesh is not enabled")] + LogicMeshNotEnabled, + + #[error("NER model not available: {reason}")] + NerModelNotAvailable { reason: Cow<'static, str> }, + + #[error("Unsupported tier requested")] + InvalidTier, + + #[error("Lexical index is not enabled")] + LexNotEnabled, + + #[error("Vector index is not enabled")] + VecNotEnabled, + + #[error("CLIP index is not enabled")] + ClipNotEnabled, + + #[error("Vector dimension mismatch (expected {expected}, got {actual})")] + VecDimensionMismatch { expected: u32, actual: usize }, + + #[error("Auxiliary file detected: {path:?}")] + AuxiliaryFileDetected { path: PathBuf }, + + #[error("Embedded WAL is corrupted at offset {offset}: {reason}")] + WalCorruption { + offset: u64, + reason: Cow<'static, str>, + }, + + #[error("Manifest WAL is corrupted at offset {offset}: {reason}")] + ManifestWalCorrupted { offset: u64, reason: &'static str }, + + #[error("Unable to checkpoint embedded WAL: {reason}")] + CheckpointFailed { reason: String }, + + #[error("Ticket sequence is out of order (expected > {expected}, got {actual})")] + TicketSequence { expected: i64, actual: i64 }, + + #[error("Apply a ticket before mutating this memory (tier {tier:?})")] + TicketRequired { tier: crate::types::Tier }, + + #[error( + "Capacity exceeded. Current: {current} bytes, Limit: {limit} bytes, Required: {required} bytes" + )] + CapacityExceeded { + current: u64, + limit: u64, + required: u64, + }, + + #[error("API key required for files larger than {limit} bytes. File size: {file_size} bytes")] + ApiKeyRequired { file_size: u64, limit: u64 }, + + #[error( + "Memory already bound to '{existing_memory_name}' ({existing_memory_id}). Bound at: {bound_at}" + )] + MemoryAlreadyBound { + existing_memory_id: uuid::Uuid, + existing_memory_name: String, + bound_at: String, + }, + + #[error("Operation requires a sealed memory")] + RequiresSealed, + + #[error("Operation requires an open memory")] + RequiresOpen, + + #[error("Doctor command requires at least one operation")] + DoctorNoOp, + + #[error("Doctor operation failed: {reason}")] + Doctor { reason: String }, + + #[error("Feature '{feature}' is not available in this build")] + FeatureUnavailable { feature: &'static str }, + + #[error("Invalid search cursor: {reason}")] + InvalidCursor { reason: &'static str }, + + #[error("Invalid frame {frame_id}: {reason}")] + InvalidFrame { + frame_id: crate::types::FrameId, + reason: &'static str, + }, + + #[error("Frame {frame_id} was not found")] + FrameNotFound { frame_id: crate::types::FrameId }, + + #[error("Frame with uri '{uri}' was not found")] + FrameNotFoundByUri { uri: String }, + + #[error("Ticket signature verification failed: {reason}")] + TicketSignatureInvalid { reason: Box }, + + #[error("Model signature verification failed: {reason}")] + ModelSignatureInvalid { reason: Box }, + + #[error("Model manifest invalid: {reason}")] + ModelManifestInvalid { reason: Box }, + + #[error("Model integrity check failed: {reason}")] + ModelIntegrity { reason: Box }, + + #[error("Extraction failed: {reason}")] + ExtractionFailed { reason: Box }, + + #[error("Embedding failed: {reason}")] + EmbeddingFailed { reason: Box }, + + #[error("Reranking failed: {reason}")] + RerankFailed { reason: Box }, + + #[error("Model mismatch: Index is bound to '{expected}', but requested model was '{actual}'")] + ModelMismatch { expected: String, actual: String }, + + #[error("Invalid query: {reason}")] + InvalidQuery { reason: String }, + + #[error("Tantivy error: {reason}")] + Tantivy { reason: String }, + + #[error("Table extraction failed: {reason}")] + TableExtraction { reason: String }, + + #[error("Schema validation failed: {reason}")] + SchemaValidation { reason: String }, +} + +impl From for MemvidError { + fn from(source: std::io::Error) -> Self { + Self::Io { source, path: None } + } +} + +#[cfg(feature = "lex")] +impl From for MemvidError { + fn from(value: tantivy::TantivyError) -> Self { + Self::Tantivy { + reason: value.to_string(), + } + } +} diff --git a/src/extract.rs b/src/extract.rs new file mode 100644 index 0000000..fdddf6d --- /dev/null +++ b/src/extract.rs @@ -0,0 +1,1086 @@ +use std::fs; +use std::path::Path; + +use crate::{Result, error::MemvidError, text::truncate_at_grapheme_boundary}; +// Use SymSpell-based cleanup when feature is enabled, otherwise fall back to heuristic +#[cfg(feature = "symspell_cleanup")] +use crate::symspell_cleanup::fix_pdf_text as fix_pdf_spacing; +#[cfg(not(feature = "symspell_cleanup"))] +use crate::text::fix_pdf_spacing; + +#[cfg(feature = "extractous")] +use log::LevelFilter; +use lopdf::Document as LopdfDocument; +use serde_json::{Value, json}; + +#[cfg(feature = "extractous")] +use extractous::Extractor; +#[cfg(feature = "extractous")] +use std::collections::{HashMap, VecDeque}; +#[cfg(feature = "extractous")] +use std::sync::{Mutex, OnceLock}; + +/// Structured result produced by [`DocumentProcessor`] after running +/// Extractous over an input document. +#[derive(Debug, Clone)] +pub struct ExtractedDocument { + pub text: Option, + pub metadata: Value, + pub mime_type: Option, +} + +impl ExtractedDocument { + #[must_use] + pub fn empty() -> Self { + Self { + text: None, + metadata: Value::Null, + mime_type: None, + } + } +} + +#[derive(Debug, Clone, Copy)] +pub struct ProcessorConfig { + pub max_text_chars: usize, +} + +impl Default for ProcessorConfig { + fn default() -> Self { + Self { + max_text_chars: 2_000_000, + } + } +} + +// ============================================================================ +// Extraction Cache with LRU Eviction +// ============================================================================ + +/// Default capacity for extraction cache (number of documents) +#[cfg(feature = "extractous")] +const DEFAULT_EXTRACTION_CACHE_CAPACITY: usize = 100; + +/// LRU cache for extracted documents to avoid re-extracting the same content. +/// +/// This cache has a maximum capacity and evicts the least recently used entries +/// when full, following the same pattern as `EmbeddingCache` in `text_embed.rs`. +#[cfg(feature = "extractous")] +struct ExtractionCache { + /// Cache storage: document hash -> extracted document + cache: HashMap, + /// LRU queue: tracks access order (most recent at front) + lru_queue: VecDeque, + /// Maximum capacity + capacity: usize, + /// Cache hit count + hits: usize, + /// Cache miss count + misses: usize, +} + +#[cfg(feature = "extractous")] +impl ExtractionCache { + fn new(capacity: usize) -> Self { + Self { + cache: HashMap::with_capacity(capacity), + lru_queue: VecDeque::with_capacity(capacity), + capacity, + hits: 0, + misses: 0, + } + } + + fn get(&mut self, key: &blake3::Hash) -> Option { + if let Some(document) = self.cache.get(key) { + // Move to front (most recently used) + self.lru_queue.retain(|k| k != key); + self.lru_queue.push_front(*key); + self.hits += 1; + Some(document.clone()) + } else { + self.misses += 1; + None + } + } + + fn insert(&mut self, key: blake3::Hash, value: ExtractedDocument) { + // Check if already exists + if self.cache.contains_key(&key) { + // Update and move to front + self.cache.insert(key, value); + self.lru_queue.retain(|k| *k != key); + self.lru_queue.push_front(key); + return; + } + + // Evict if at capacity + if self.cache.len() >= self.capacity { + if let Some(oldest_key) = self.lru_queue.pop_back() { + self.cache.remove(&oldest_key); + tracing::debug!( + evicted_hash = ?oldest_key, + "Evicted oldest entry from extraction cache" + ); + } + } + + // Insert new entry + self.cache.insert(key, value); + self.lru_queue.push_front(key); + } + + #[allow(dead_code)] + fn stats(&self) -> (usize, usize, usize) { + (self.hits, self.misses, self.cache.len()) + } +} + +// ============================================================================ +// DocumentProcessor - only available with extractous feature +// ============================================================================ + +#[cfg(feature = "extractous")] +#[derive(Debug)] +pub struct DocumentProcessor { + extractor: Mutex, + max_length: usize, +} + +#[cfg(feature = "extractous")] +impl Default for DocumentProcessor { + fn default() -> Self { + Self::new(Default::default()) + } +} + +#[cfg(feature = "extractous")] +static EXTRACTION_CACHE: OnceLock> = OnceLock::new(); + +#[cfg(feature = "extractous")] +impl DocumentProcessor { + pub fn new(config: ProcessorConfig) -> Self { + let capped = config + .max_text_chars + .min(i32::MAX as usize) + .try_into() + .unwrap_or(i32::MAX); + let mut extractor = Extractor::new().set_extract_string_max_length(capped); + extractor = extractor.set_xml_output(false); + Self { + extractor: Mutex::new(extractor), + max_length: config.max_text_chars, + } + } + + pub fn extract_from_path(&self, path: &Path) -> Result { + let path_str = path.to_str().ok_or_else(|| MemvidError::ExtractionFailed { + reason: "input path contains invalid UTF-8".into(), + })?; + + let extraction = { + let extractor = self.locked()?; + let _log_guard = ScopedLogLevel::lowered(LevelFilter::Off); + extractor.extract_file_to_string(path_str) + }; + + match extraction { + Ok((mut content, metadata)) => { + if needs_pdf_fallback(&content) { + if let Ok(bytes) = fs::read(path) { + if let Ok(Some(fallback_text)) = pdf_text_fallback(&bytes) { + content = fallback_text; + } + } + } + Ok(self.into_document(content, metadata)) + } + Err(err) => { + let primary_reason = err.to_string(); + if let Ok(bytes) = fs::read(path) { + match pdf_text_fallback(&bytes) { + Ok(Some(fallback_text)) => { + return Ok(self.into_document(fallback_text, pdf_fallback_metadata())); + } + Ok(None) => {} + Err(fallback_err) => { + let reason = format!( + "primary extractor error: {}; PDF fallback error: {}", + primary_reason, fallback_err + ); + return Err(MemvidError::ExtractionFailed { + reason: reason.into(), + }); + } + } + } + Err(MemvidError::ExtractionFailed { + reason: primary_reason.into(), + }) + } + } + } + + pub fn extract_from_bytes(&self, bytes: &[u8]) -> Result { + let hash = blake3::hash(bytes); + if let Some(cached) = cache_lookup(&hash) { + tracing::debug!(target = "memvid::extract", reader = "cache", "cache hit"); + return Ok(cached); + } + + let extraction = { + let extractor = self.locked()?; + let _log_guard = ScopedLogLevel::lowered(LevelFilter::Off); + extractor.extract_bytes_to_string(bytes) + }; + + let document = match extraction { + Ok((mut content, metadata)) => { + let pdf_needed = needs_pdf_fallback(&content); + tracing::debug!( + target: "memvid::extract", + content_len = content.len(), + pdf_fallback_needed = pdf_needed, + "extractous returned content" + ); + if pdf_needed { + match pdf_text_fallback(bytes) { + Ok(Some(fallback_text)) => { + tracing::debug!( + target: "memvid::extract", + fallback_len = fallback_text.len(), + "lopdf fallback succeeded" + ); + content = fallback_text; + } + Ok(None) => { + tracing::debug!( + target: "memvid::extract", + "lopdf fallback returned None" + ); + // PDF detected but lopdf couldn't extract any text + // Return empty rather than raw PDF bytes + content = String::new(); + } + Err(e) => { + tracing::debug!( + target: "memvid::extract", + error = %e, + "lopdf fallback failed" + ); + // lopdf extraction failed - return empty rather than raw PDF bytes + content = String::new(); + } + } + } + self.into_document(content, metadata) + } + Err(err) => { + let primary_reason = err.to_string(); + match pdf_text_fallback(bytes) { + Ok(Some(fallback_text)) => { + self.into_document(fallback_text, pdf_fallback_metadata()) + } + Ok(None) => { + return Err(MemvidError::ExtractionFailed { + reason: primary_reason.into(), + }); + } + Err(fallback_err) => { + let reason = format!( + "primary extractor error: {}; PDF fallback error: {}", + primary_reason, fallback_err + ); + return Err(MemvidError::ExtractionFailed { + reason: reason.into(), + }); + } + } + } + }; + + cache_store(hash, &document); + Ok(document) + } + + fn locked(&self) -> Result> { + self.extractor + .lock() + .map_err(|_| MemvidError::ExtractionFailed { + reason: "extractor mutex poisoned".into(), + }) + } + + fn into_document(&self, content: String, metadata: M) -> ExtractedDocument + where + M: serde::Serialize, + { + let metadata_value = serde_json::to_value(metadata).unwrap_or(Value::Null); + let mime_type = metadata_value.get("Content-Type").and_then(value_to_mime); + + let text = if content.trim().is_empty() { + tracing::debug!( + target: "memvid::extract", + "into_document: content is empty, returning text=None" + ); + None + } else { + let final_text = if content.len() > self.max_length { + let end = truncate_at_grapheme_boundary(&content, self.max_length); + content[..end].to_string() + } else { + content + }; + tracing::debug!( + target: "memvid::extract", + text_len = final_text.len(), + starts_with_pdf = final_text.starts_with("%PDF"), + "into_document: returning text" + ); + Some(final_text) + }; + + ExtractedDocument { + text, + metadata: metadata_value, + mime_type, + } + } +} + +// ============================================================================ +// Stub DocumentProcessor when extractous is disabled - returns clear error +// ============================================================================ + +#[cfg(not(feature = "extractous"))] +#[derive(Debug)] +pub struct DocumentProcessor { + max_length: usize, +} + +#[cfg(not(feature = "extractous"))] +impl Default for DocumentProcessor { + fn default() -> Self { + Self::new(Default::default()) + } +} + +#[cfg(not(feature = "extractous"))] +impl DocumentProcessor { + #[must_use] + pub fn new(config: ProcessorConfig) -> Self { + Self { + max_length: config.max_text_chars, + } + } + + pub fn extract_from_path(&self, path: &Path) -> Result { + // Without extractous, we can still handle plain text files + let bytes = fs::read(path).map_err(|e| MemvidError::ExtractionFailed { + reason: format!("failed to read file: {e}").into(), + })?; + self.extract_from_bytes(&bytes) + } + + pub fn extract_from_bytes(&self, bytes: &[u8]) -> Result { + // Check if this is a PDF - extract text using pdf_extract (if available) or lopdf + if is_probably_pdf_simple(bytes) { + match pdf_text_extract_best(bytes) { + Ok(Some((text, extractor))) => { + let truncate_len = truncate_at_grapheme_boundary(&text, self.max_length); + let truncated = &text[..truncate_len]; + return Ok(ExtractedDocument { + text: Some(truncated.to_string()), + metadata: json!({ + "Content-Type": "application/pdf", + "extraction": extractor, + }), + mime_type: Some("application/pdf".to_string()), + }); + } + Ok(None) => { + // PDF detected but no text could be extracted (image-only PDF) + return Ok(ExtractedDocument { + text: None, + metadata: json!({ + "Content-Type": "application/pdf", + "extraction": "no_text", + }), + mime_type: Some("application/pdf".to_string()), + }); + } + Err(e) => { + tracing::warn!(target: "memvid::extract", error = %e, "PDF extraction failed"); + // Fall through to binary handling + } + } + } + + // Without extractous, we can still handle plain text files and common text-based formats + // Try to interpret as UTF-8 text first + if let Ok(text) = std::str::from_utf8(bytes) { + // Check if it's likely text (no null bytes in first 8KB) + let sample = &bytes[..bytes.len().min(8192)]; + if !sample.contains(&0) { + let truncate_len = truncate_at_grapheme_boundary(text, self.max_length); + let truncated = &text[..truncate_len]; + return Ok(ExtractedDocument { + text: Some(truncated.to_string()), + metadata: json!({}), + mime_type: Some("text/plain".to_string()), + }); + } + } + + // For binary content (video, audio, images, etc.), return success with no text. + // This allows binary blobs to be stored without requiring the extractous feature. + // The caller can still store the blob; there just won't be extracted text for search. + Ok(ExtractedDocument { + text: None, + metadata: json!({}), + mime_type: Some("application/octet-stream".to_string()), + }) + } +} + +#[cfg(feature = "extractous")] +fn needs_pdf_fallback(content: &str) -> bool { + if content.trim().is_empty() { + return true; + } + looks_like_pdf_structure_dump(content) +} + +#[cfg(feature = "extractous")] +fn pdf_fallback_metadata() -> Value { + json!({ + "Content-Type": "application/pdf", + "extraction": "lopdf_fallback", + }) +} + +#[cfg(feature = "extractous")] +const PDF_FALLBACK_MAX_BYTES: usize = 64 * 1024 * 1024; // 64 MiB hard cap. +#[cfg(feature = "extractous")] +const PDF_FALLBACK_MAX_PAGES: usize = 4_096; + +#[cfg(feature = "extractous")] +fn pdf_text_fallback(bytes: &[u8]) -> Result> { + if !is_probably_pdf(bytes) { + return Ok(None); + } + + if bytes.len() > PDF_FALLBACK_MAX_BYTES { + return Err(MemvidError::ExtractionFailed { + reason: format!( + "pdf fallback aborted: {} bytes exceeds limit of {} bytes", + bytes.len(), + PDF_FALLBACK_MAX_BYTES + ) + .into(), + }); + } + + let _log_guard = ScopedLogLevel::lowered(LevelFilter::Off); + let mut document = + LopdfDocument::load_mem(bytes).map_err(|err| MemvidError::ExtractionFailed { + reason: format!("pdf fallback failed to load document: {err}").into(), + })?; + + if document.is_encrypted() { + if document.decrypt("").is_err() { + return Err(MemvidError::ExtractionFailed { + reason: "pdf fallback cannot decrypt password-protected file".into(), + }); + } + } + + let _ = document.decompress(); + + let mut page_numbers: Vec = document.get_pages().keys().copied().collect(); + if page_numbers.is_empty() { + return Ok(None); + } + page_numbers.sort_unstable(); + + if page_numbers.len() > PDF_FALLBACK_MAX_PAGES { + return Err(MemvidError::ExtractionFailed { + reason: format!( + "pdf fallback aborted: page count {} exceeds limit of {}", + page_numbers.len(), + PDF_FALLBACK_MAX_PAGES + ) + .into(), + }); + } + + match document.extract_text(&page_numbers) { + Ok(text) => { + let trimmed = text.trim(); + if trimmed.is_empty() { + Ok(None) + } else { + // Apply fix_pdf_spacing to repair character-level spacing artifacts + Ok(Some(fix_pdf_spacing(trimmed))) + } + } + Err(err) => Err(MemvidError::ExtractionFailed { + reason: format!("pdf fallback failed to extract text: {err}").into(), + }), + } +} + +#[cfg(feature = "extractous")] +struct ScopedLogLevel { + previous: LevelFilter, + changed: bool, +} + +#[cfg(feature = "extractous")] +impl ScopedLogLevel { + fn lowered(level: LevelFilter) -> Self { + let previous = log::max_level(); + if level < previous { + log::set_max_level(level); + Self { + previous, + changed: true, + } + } else { + Self { + previous, + changed: false, + } + } + } +} + +#[cfg(feature = "extractous")] +impl Drop for ScopedLogLevel { + fn drop(&mut self) { + if self.changed { + log::set_max_level(self.previous); + } + } +} + +#[cfg(feature = "extractous")] +fn is_probably_pdf(bytes: &[u8]) -> bool { + if bytes.is_empty() { + return false; + } + let mut slice = bytes; + if slice.starts_with(&[0xEF, 0xBB, 0xBF]) { + slice = &slice[3..]; + } + while let Some((first, rest)) = slice.split_first() { + if *first == 0 || first.is_ascii_whitespace() { + slice = rest; + } else { + break; + } + } + slice.starts_with(b"%PDF") +} + +#[cfg(feature = "extractous")] +fn looks_like_pdf_structure_dump(content: &str) -> bool { + if content.len() < 256 { + return false; + } + let sample_len = content.len().min(8_192); + // Find the nearest valid character boundary at or before sample_len + let safe_len = truncate_at_grapheme_boundary(content, sample_len); + let sample = &content[..safe_len]; + let endobj_hits = sample.matches("endobj").take(3).count(); + if endobj_hits < 2 { + return false; + } + let has_obj = + sample.contains(" 0 obj") || sample.contains("\n0 obj") || sample.contains("\r0 obj"); + let has_stream = sample.contains("endstream"); + let has_page_type = sample.contains("/Type /Page"); + endobj_hits >= 2 && (has_obj || has_stream || has_page_type) +} + +#[cfg(feature = "extractous")] +fn value_to_mime(value: &Value) -> Option { + if let Some(mime) = value.as_str() { + return Some(mime.to_string()); + } + if let Some(array) = value.as_array() { + for entry in array { + if let Some(mime) = entry.as_str() { + return Some(mime.to_string()); + } + } + } + None +} + +#[cfg(feature = "extractous")] +fn cache_lookup(hash: &blake3::Hash) -> Option { + let cache = EXTRACTION_CACHE + .get_or_init(|| Mutex::new(ExtractionCache::new(DEFAULT_EXTRACTION_CACHE_CAPACITY))); + cache.lock().ok().and_then(|mut map| map.get(hash)) +} + +#[cfg(feature = "extractous")] +fn cache_store(hash: blake3::Hash, document: &ExtractedDocument) { + let cache = EXTRACTION_CACHE + .get_or_init(|| Mutex::new(ExtractionCache::new(DEFAULT_EXTRACTION_CACHE_CAPACITY))); + if let Ok(mut map) = cache.lock() { + map.insert(hash, document.clone()); + } +} + +// ============================================================================ +// PDF extraction helpers (available without extractous feature) +// Priority: pdf_oxide (best accuracy) > pdf_extract > lopdf +// ============================================================================ + +#[allow(dead_code)] +const PDF_LOPDF_MAX_BYTES: usize = 64 * 1024 * 1024; // 64 MiB hard cap +#[allow(dead_code)] +const PDF_LOPDF_MAX_PAGES: usize = 4_096; + +/// Try multiple PDF extractors and return the best result +/// Returns (text, `extractor_name`) or None if no text found +/// Priority: `pdf_oxide` (2025, best accuracy) > `pdf_extract` > lopdf +#[allow(dead_code)] +fn pdf_text_extract_best(bytes: &[u8]) -> Result> { + let mut best_text: Option = None; + let mut best_source: &'static str = ""; + + // Calculate minimum "good" threshold based on file size + #[cfg(any(feature = "pdf_oxide", feature = "pdf_extract"))] + let min_good_chars = (bytes.len() / 100).clamp(500, 5000); + + // Try pdf_oxide first (if feature enabled) - highest accuracy, perfect word spacing + // Wrap in catch_unwind because cff-parser may panic on certain fonts (ligatures) + #[cfg(feature = "pdf_oxide")] + { + let bytes_clone = bytes.to_vec(); + let oxide_result = std::panic::catch_unwind(std::panic::AssertUnwindSafe(|| { + pdf_text_extract_oxide(&bytes_clone) + })); + + match oxide_result { + Ok(Ok(Some(text))) => { + let trimmed = text.trim(); + if !trimmed.is_empty() { + if trimmed.len() >= min_good_chars { + tracing::debug!( + target: "memvid::extract", + len = trimmed.len(), + "pdf_oxide succeeded with good result" + ); + return Ok(Some((trimmed.to_string(), "pdf_oxide"))); + } + tracing::debug!( + target: "memvid::extract", + len = trimmed.len(), + min_good = min_good_chars, + "pdf_oxide returned partial result, trying fallbacks" + ); + best_text = Some(trimmed.to_string()); + best_source = "pdf_oxide"; + } + } + Ok(Ok(None)) => { + tracing::debug!(target: "memvid::extract", "pdf_oxide returned no text"); + } + Ok(Err(e)) => { + tracing::debug!(target: "memvid::extract", error = %e, "pdf_oxide failed"); + } + Err(_) => { + tracing::warn!(target: "memvid::extract", "pdf_oxide panicked (likely font parsing issue), falling back to other extractors"); + } + } + } + + // Try pdf_extract next (if feature enabled) + #[cfg(feature = "pdf_extract")] + { + match pdf_extract::extract_text_from_mem(bytes) { + Ok(text) => { + let trimmed = text.trim(); + if !trimmed.is_empty() { + if best_text.is_none() && trimmed.len() >= min_good_chars { + tracing::debug!( + target: "memvid::extract", + len = trimmed.len(), + "pdf_extract succeeded with good result" + ); + return Ok(Some((trimmed.to_string(), "pdf_extract"))); + } + // Use if better than current best + if best_text + .as_ref() + .is_none_or(|prev| trimmed.len() > prev.len()) + { + best_text = Some(trimmed.to_string()); + best_source = "pdf_extract"; + } + } + } + Err(e) => { + tracing::debug!(target: "memvid::extract", error = %e, "pdf_extract failed"); + } + } + } + + // Try lopdf (pure Rust, always available) + match pdf_text_extract_lopdf(bytes) { + Ok(Some(text)) => { + let trimmed = text.trim(); + if !trimmed.is_empty() { + // Use lopdf result if better than previous + if best_text + .as_ref() + .is_none_or(|prev| trimmed.len() > prev.len()) + { + tracing::debug!( + target: "memvid::extract", + len = trimmed.len(), + "lopdf extracted more text" + ); + best_text = Some(trimmed.to_string()); + best_source = "lopdf"; + } + } + } + Ok(None) => { + tracing::debug!(target: "memvid::extract", "lopdf returned no text"); + } + Err(e) => { + tracing::debug!(target: "memvid::extract", error = %e, "lopdf failed"); + } + } + + // Apply fix_pdf_spacing to repair character-level spacing artifacts from PDF encoding + Ok(best_text.map(|t| (fix_pdf_spacing(&t), best_source))) +} + +/// Extract text from PDF using pdf_oxide (highest accuracy, perfect word spacing) +/// Note: pdf_oxide only supports file paths, so we write bytes to a temp file first +#[cfg(feature = "pdf_oxide")] +#[allow(dead_code)] +fn pdf_text_extract_oxide(bytes: &[u8]) -> Result> { + use pdf_oxide::PdfDocument; + use std::io::Write; + use tempfile::NamedTempFile; + + // pdf_oxide only supports opening from file path, so we write to temp file + let mut temp_file = NamedTempFile::new().map_err(|err| MemvidError::ExtractionFailed { + reason: format!("pdf_oxide failed to create temp file: {err}").into(), + })?; + + temp_file + .write_all(bytes) + .map_err(|err| MemvidError::ExtractionFailed { + reason: format!("pdf_oxide failed to write temp file: {err}").into(), + })?; + + temp_file + .flush() + .map_err(|err| MemvidError::ExtractionFailed { + reason: format!("pdf_oxide failed to flush temp file: {err}").into(), + })?; + + let temp_path = temp_file.path(); + let mut doc = PdfDocument::open(temp_path).map_err(|err| MemvidError::ExtractionFailed { + reason: format!("pdf_oxide failed to load PDF: {err}").into(), + })?; + + let page_count = doc + .page_count() + .map_err(|err| MemvidError::ExtractionFailed { + reason: format!("pdf_oxide failed to get page count: {err}").into(), + })?; + if page_count == 0 { + return Ok(None); + } + + let mut all_text = String::new(); + for page_idx in 0..page_count { + match doc.extract_text(page_idx) { + Ok(text) => { + if !text.is_empty() { + if !all_text.is_empty() { + all_text.push('\n'); + } + all_text.push_str(&text); + } + } + Err(e) => { + tracing::debug!( + target: "memvid::extract", + page = page_idx, + error = %e, + "pdf_oxide failed to extract page" + ); + } + } + } + + let trimmed = all_text.trim(); + if trimmed.is_empty() { + Ok(None) + } else { + Ok(Some(trimmed.to_string())) + } +} + +/// Check if bytes look like a PDF file (magic bytes check) +#[allow(dead_code)] +fn is_probably_pdf_simple(bytes: &[u8]) -> bool { + if bytes.is_empty() { + return false; + } + let mut slice = bytes; + // Skip BOM if present + if slice.starts_with(&[0xEF, 0xBB, 0xBF]) { + slice = &slice[3..]; + } + // Skip leading whitespace/nulls + while let Some((first, rest)) = slice.split_first() { + if *first == 0 || first.is_ascii_whitespace() { + slice = rest; + } else { + break; + } + } + slice.starts_with(b"%PDF") +} + +/// Extract text from a PDF using lopdf (pure Rust, no external dependencies) +#[allow(dead_code)] +fn pdf_text_extract_lopdf(bytes: &[u8]) -> Result> { + if bytes.len() > PDF_LOPDF_MAX_BYTES { + return Err(MemvidError::ExtractionFailed { + reason: format!( + "PDF too large: {} bytes exceeds limit of {} bytes", + bytes.len(), + PDF_LOPDF_MAX_BYTES + ) + .into(), + }); + } + + let mut document = + LopdfDocument::load_mem(bytes).map_err(|err| MemvidError::ExtractionFailed { + reason: format!("failed to load PDF: {err}").into(), + })?; + + // Try to decrypt if encrypted (empty password for unprotected PDFs) + if document.is_encrypted() && document.decrypt("").is_err() { + return Err(MemvidError::ExtractionFailed { + reason: "cannot decrypt password-protected PDF".into(), + }); + } + + // Decompress streams for better text extraction + let () = document.decompress(); + + let mut page_numbers: Vec = document.get_pages().keys().copied().collect(); + if page_numbers.is_empty() { + return Ok(None); + } + page_numbers.sort_unstable(); + + if page_numbers.len() > PDF_LOPDF_MAX_PAGES { + return Err(MemvidError::ExtractionFailed { + reason: format!( + "PDF has too many pages: {} exceeds limit of {}", + page_numbers.len(), + PDF_LOPDF_MAX_PAGES + ) + .into(), + }); + } + + match document.extract_text(&page_numbers) { + Ok(text) => { + let trimmed = text.trim(); + if trimmed.is_empty() { + Ok(None) + } else { + Ok(Some(trimmed.to_string())) + } + } + Err(err) => Err(MemvidError::ExtractionFailed { + reason: format!("failed to extract text from PDF: {err}").into(), + }), + } +} + +#[cfg(all(test, feature = "extractous"))] +mod tests { + use super::*; + + #[test] + fn detects_pdf_like_dump() { + let snippet = "binary %PDF snippet endobj endobj endstream 0 obj /Type /Page endobj "; + let dump = snippet.repeat(12); + assert!(looks_like_pdf_structure_dump(&dump)); + } + + #[test] + fn skips_normal_text() { + let text = "This is a perfectly normal paragraph that should not trigger the PDF fallback."; + assert!(!looks_like_pdf_structure_dump(text)); + } + + #[test] + fn identifies_pdf_magic() { + let bytes = b"%PDF-1.7 some data"; + assert!(is_probably_pdf(bytes)); + let padded = b"\n\n%PDF-1.5"; + assert!(is_probably_pdf(padded)); + let not_pdf = b""; + assert!(!is_probably_pdf(not_pdf)); + } +} + +#[cfg(all(test, feature = "extractous"))] +mod pdf_fix_tests { + use super::*; + + /// Test that PDF extraction via lopdf fallback returns actual text content, + /// not raw PDF bytes. This test verifies the fix for the bug where PDFs + /// with extractous returning empty content would have their raw bytes + /// indexed instead of extracted text. + #[test] + fn test_pdf_structure_dump_detection_prevents_raw_indexing() { + // Create a synthetic PDF-like structure that should trigger the fallback + let pdf_structure = b"%PDF-1.4\n%\xff\xff\xff\xff\n1 0 obj\n<>\nendobj\n"; + + // This should be detected as PDF structure + assert!(is_probably_pdf(pdf_structure)); + + // And content that looks like PDF structure should be detected + let structure_dump = + "binary %PDF snippet endobj endobj endstream 0 obj /Type /Page endobj ".repeat(12); + assert!(looks_like_pdf_structure_dump(&structure_dump)); + + // Normal text should NOT be detected as PDF structure + let normal_text = "This is perfectly normal extracted text from a document."; + assert!(!looks_like_pdf_structure_dump(normal_text)); + } +} + +// ============================================================================ +// Tests for ExtractionCache LRU eviction +// ============================================================================ + +#[cfg(all(test, feature = "extractous"))] +mod extraction_cache_tests { + use super::*; + + fn make_doc(content: &str) -> ExtractedDocument { + ExtractedDocument { + text: Some(content.to_string()), + metadata: serde_json::json!({}), + mime_type: Some("text/plain".to_string()), + } + } + + #[test] + fn test_extraction_cache_basic() { + let mut cache = ExtractionCache::new(10); + let hash = blake3::hash(b"test document"); + let doc = make_doc("test content"); + + cache.insert(hash, doc.clone()); + let retrieved = cache.get(&hash); + assert!(retrieved.is_some()); + assert_eq!(retrieved.unwrap().text, Some("test content".to_string())); + } + + #[test] + fn test_extraction_cache_stats() { + let mut cache = ExtractionCache::new(10); + let hash = blake3::hash(b"test"); + cache.insert(hash, make_doc("test")); + + // Hit + let _ = cache.get(&hash); + // Miss + let missing = blake3::hash(b"missing"); + let _ = cache.get(&missing); + + let (hits, misses, size) = cache.stats(); + assert_eq!(hits, 1); + assert_eq!(misses, 1); + assert_eq!(size, 1); + } + + #[test] + fn test_extraction_cache_eviction() { + let mut cache = ExtractionCache::new(3); + + // Insert 4 items, first should be evicted + for i in 0..4u8 { + let hash = blake3::hash(&[i]); + cache.insert(hash, make_doc(&format!("doc{}", i))); + } + + // First item should be evicted + let evicted = blake3::hash(&[0u8]); + assert!(cache.get(&evicted).is_none()); + + // Last 3 should still exist + for i in 1..4u8 { + let hash = blake3::hash(&[i]); + assert!(cache.get(&hash).is_some()); + } + } + + #[test] + fn test_extraction_cache_lru_promotion() { + let mut cache = ExtractionCache::new(3); + + // Insert 3 items: 0, 1, 2 + for i in 0..3u8 { + let hash = blake3::hash(&[i]); + cache.insert(hash, make_doc(&format!("doc{}", i))); + } + + // Access first item (promotes it to front) + let first = blake3::hash(&[0u8]); + let _ = cache.get(&first); + + // Insert 4th item - should evict second (index 1, now oldest) + let new_hash = blake3::hash(&[3u8]); + cache.insert(new_hash, make_doc("doc3")); + + // First should still exist (was accessed, got promoted) + assert!(cache.get(&first).is_some()); + + // Second should be evicted (was oldest after first was promoted) + let second = blake3::hash(&[1u8]); + assert!(cache.get(&second).is_none()); + + // Third and fourth should exist + let third = blake3::hash(&[2u8]); + assert!(cache.get(&third).is_some()); + assert!(cache.get(&new_hash).is_some()); + } + + #[test] + fn test_extraction_cache_update_existing() { + let mut cache = ExtractionCache::new(3); + let hash = blake3::hash(b"test"); + + cache.insert(hash, make_doc("original")); + cache.insert(hash, make_doc("updated")); + + let retrieved = cache.get(&hash); + assert_eq!(retrieved.unwrap().text, Some("updated".to_string())); + + // Size should still be 1 + let (_, _, size) = cache.stats(); + assert_eq!(size, 1); + } +} diff --git a/src/extract_budgeted.rs b/src/extract_budgeted.rs new file mode 100644 index 0000000..587651a --- /dev/null +++ b/src/extract_budgeted.rs @@ -0,0 +1,643 @@ +//! Time-budgeted text extraction for instant indexing. +//! +//! Extracts representative text from documents within a time budget, +//! enabling sub-second ingestion for large files. Uses pdf-extract (when available) +//! for fast full-document extraction, with lopdf as fallback for per-page extraction. + +use std::time::{Duration, Instant}; + +use lopdf::Document as LopdfDocument; +use serde::{Deserialize, Serialize}; + +use crate::error::{MemvidError, Result}; +// Use SymSpell-based cleanup when feature is enabled, otherwise fall back to heuristic +#[cfg(feature = "symspell_cleanup")] +use crate::symspell_cleanup::fix_pdf_text as fix_pdf_spacing; +#[cfg(not(feature = "symspell_cleanup"))] +use crate::text::fix_pdf_spacing; + +/// Default extraction time budget in milliseconds. +/// Calibrated for sub-second total ingestion (<1s including I/O + indexing). +pub const DEFAULT_EXTRACTION_BUDGET_MS: u64 = 350; + +/// Configuration for time-budgeted extraction. +#[derive(Debug, Clone, Copy)] +pub struct ExtractionBudget { + /// Maximum time to spend on extraction. + pub budget: Duration, + /// Maximum characters to extract (safety limit). + pub max_chars: usize, + /// Sample interval for middle pages (extract every Nth page). + pub sample_interval: usize, +} + +impl Default for ExtractionBudget { + fn default() -> Self { + Self { + budget: Duration::from_millis(DEFAULT_EXTRACTION_BUDGET_MS), + max_chars: 100_000, + sample_interval: 20, // Every 20th page + } + } +} + +impl ExtractionBudget { + /// Create a budget with custom milliseconds. + #[must_use] + pub fn with_ms(ms: u64) -> Self { + Self { + budget: Duration::from_millis(ms), + ..Default::default() + } + } + + /// Create an unlimited budget (extract everything). + #[must_use] + pub fn unlimited() -> Self { + Self { + budget: Duration::from_secs(3600), // 1 hour = effectively unlimited + max_chars: usize::MAX, + sample_interval: 1, // Every page + } + } +} + +/// Result of time-budgeted extraction. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct BudgetedExtractionResult { + /// Extracted text (may be partial). + pub text: String, + /// Number of pages/sections extracted. + pub sections_extracted: usize, + /// Total pages/sections in document. + pub sections_total: usize, + /// Whether extraction completed within budget. + pub completed: bool, + /// Time spent on extraction. + pub elapsed_ms: u64, + /// Coverage ratio (0.0 to 1.0). + pub coverage: f32, +} + +impl BudgetedExtractionResult { + /// Check if we got meaningful content. + #[must_use] + pub fn has_content(&self) -> bool { + !self.text.trim().is_empty() + } + + /// Check if this is a skim (partial) extraction. + #[must_use] + pub fn is_skim(&self) -> bool { + !self.completed && self.sections_extracted < self.sections_total + } +} + +/// Extract text from a PDF with time budget. +/// +/// Strategy: +/// 1. Try extractous first (best quality, handles all fonts including ligatures) +/// 2. Try pdf-extract (fast, but panics on some fonts with ligatures) +/// 3. Fall back to lopdf per-page (basic extraction, poor word spacing) +pub fn extract_pdf_budgeted( + bytes: &[u8], + budget: ExtractionBudget, +) -> Result { + let start = Instant::now(); + + // Try extractous first - best quality, handles all fonts including ligatures + #[cfg(feature = "extractous")] + { + use extractous::Extractor; + + // Write bytes to temp file (extractous needs a file path) + if let Ok(mut temp_file) = tempfile::NamedTempFile::new() { + use std::io::Write; + if temp_file.write_all(bytes).is_ok() { + let extractor = Extractor::new(); + let path_str = temp_file.path().to_string_lossy(); + if let Ok((text, _metadata)) = extractor.extract_file_to_string(&path_str) { + let trimmed = text.trim(); + if !trimmed.is_empty() { + tracing::debug!("extractous successfully extracted PDF text"); + // Estimate page count from text (rough heuristic: ~3000 chars per page) + let estimated_pages = (trimmed.len() / 3000).max(1); + let text_len = trimmed.len(); + + // Truncate if needed + let final_text = if text_len > budget.max_chars { + truncate_at_boundary(trimmed, budget.max_chars) + } else { + trimmed.to_string() + }; + + let completed = final_text.len() == text_len; + + return Ok(BudgetedExtractionResult { + text: final_text, + sections_extracted: estimated_pages, + sections_total: estimated_pages, + completed, + elapsed_ms: start.elapsed().as_millis().try_into().unwrap_or(u64::MAX), + coverage: 1.0, + }); + } + tracing::debug!("extractous returned empty text, trying pdf-extract"); + } + } + } + } + + // Try pdf-extract - fast full document extraction + // Wrap in catch_unwind because cff-parser may panic on certain fonts (ligatures like fi/fl) + #[cfg(feature = "pdf_extract")] + { + let bytes_clone = bytes.to_vec(); + let extract_result = std::panic::catch_unwind(std::panic::AssertUnwindSafe(|| { + pdf_extract::extract_text_from_mem(&bytes_clone) + })); + + match extract_result { + Ok(Ok(text)) => { + // Clean up character spacing issues from PDF extraction + let cleaned = fix_pdf_spacing(text.trim()); + if !cleaned.is_empty() { + // Estimate page count from text (rough heuristic: ~3000 chars per page) + let estimated_pages = (cleaned.len() / 3000).max(1); + let cleaned_len = cleaned.len(); + + // Truncate if needed + let final_text = if cleaned_len > budget.max_chars { + truncate_at_boundary(&cleaned, budget.max_chars) + } else { + cleaned + }; + + let completed = final_text.len() == cleaned_len; + + return Ok(BudgetedExtractionResult { + text: final_text, + sections_extracted: estimated_pages, + sections_total: estimated_pages, + completed, + elapsed_ms: start.elapsed().as_millis().try_into().unwrap_or(u64::MAX), + coverage: 1.0, + }); + } + // pdf-extract returned empty, fall through to lopdf + tracing::debug!("pdf-extract returned empty text, trying lopdf"); + } + Ok(Err(e)) => { + // pdf-extract failed, fall through to lopdf + tracing::debug!(?e, "pdf-extract failed, trying lopdf"); + } + Err(_) => { + // pdf-extract panicked (cff-parser font issue), fall through to lopdf + tracing::warn!( + "pdf-extract panicked (likely font parsing issue), falling back to lopdf" + ); + } + } + } + + // Fall back to lopdf per-page extraction + extract_pdf_budgeted_lopdf(bytes, budget, start) +} + +/// Truncate text at a word/sentence boundary +fn truncate_at_boundary(text: &str, max_chars: usize) -> String { + if text.len() <= max_chars { + return text.to_string(); + } + + // Find last space before max_chars + let truncate_at = text[..max_chars] + .rfind(|c: char| c.is_whitespace()) + .unwrap_or(max_chars); + + text[..truncate_at].to_string() +} + +/// lopdf-based per-page extraction (slower but works as fallback) +fn extract_pdf_budgeted_lopdf( + bytes: &[u8], + budget: ExtractionBudget, + start: Instant, +) -> Result { + let deadline = start + budget.budget; + + // Load PDF + let mut document = + LopdfDocument::load_mem(bytes).map_err(|err| MemvidError::ExtractionFailed { + reason: format!("failed to load PDF: {err}").into(), + })?; + + // Handle encryption + if document.is_encrypted() && document.decrypt("").is_err() { + return Err(MemvidError::ExtractionFailed { + reason: "cannot decrypt password-protected PDF".into(), + }); + } + + // Decompress for better extraction + let () = document.decompress(); + + // Get page numbers + let mut page_numbers: Vec = document.get_pages().keys().copied().collect(); + if page_numbers.is_empty() { + return Ok(BudgetedExtractionResult { + text: String::new(), + sections_extracted: 0, + sections_total: 0, + completed: true, + elapsed_ms: start.elapsed().as_millis().try_into().unwrap_or(u64::MAX), + coverage: 1.0, + }); + } + page_numbers.sort_unstable(); + + let page_count = page_numbers.len(); + let mut extracted_pages: Vec<(u32, String)> = Vec::new(); + let mut total_chars = 0usize; + + // Priority pages: first and last + let priority_pages: Vec = { + let mut pages = vec![page_numbers[0]]; // First page + if page_count > 1 { + pages.push(page_numbers[page_count - 1]); // Last page + } + pages + }; + + // Extract priority pages first (always) + for &page_num in &priority_pages { + if total_chars >= budget.max_chars { + break; + } + + if let Ok(text) = document.extract_text(&[page_num]) { + let trimmed = text.trim(); + if !trimmed.is_empty() { + total_chars += trimmed.len(); + extracted_pages.push((page_num, trimmed.to_string())); + } + } + } + + // Check if we still have time + if Instant::now() >= deadline || total_chars >= budget.max_chars { + return finish_extraction(extracted_pages, page_count, start, false); + } + + // Sample middle pages until deadline + let sample_interval = budget.sample_interval.max(1); + let middle_pages: Vec = page_numbers + .iter() + .enumerate() + .filter(|(i, page)| { + // Skip priority pages, sample every Nth page + !priority_pages.contains(page) && (*i % sample_interval == 0) + }) + .map(|(_, page)| *page) + .collect(); + + for &page_num in &middle_pages { + // Check deadline before each page + if Instant::now() >= deadline { + return finish_extraction(extracted_pages, page_count, start, false); + } + + if total_chars >= budget.max_chars { + return finish_extraction(extracted_pages, page_count, start, false); + } + + if let Ok(text) = document.extract_text(&[page_num]) { + let trimmed = text.trim(); + if !trimmed.is_empty() { + total_chars += trimmed.len(); + extracted_pages.push((page_num, trimmed.to_string())); + } + } + } + + // If we got here, we extracted all sampled pages without hitting limits + let completed = extracted_pages.len() >= page_count; + finish_extraction(extracted_pages, page_count, start, completed) +} + +/// Extract text from plain text/markdown with time budget. +/// Text formats are fast - we typically get everything. +pub fn extract_text_budgeted( + bytes: &[u8], + budget: ExtractionBudget, +) -> Result { + let start = Instant::now(); + + // Try UTF-8 decode, using lossy conversion for non-UTF8 + let text: String = match std::str::from_utf8(bytes) { + Ok(s) => s.to_string(), + Err(_) => String::from_utf8_lossy(bytes).into_owned(), + }; + + // Truncate if needed, respecting character boundaries + let truncated = if text.len() > budget.max_chars { + // Find a valid character boundary + let mut end = budget.max_chars; + while end > 0 && !text.is_char_boundary(end) { + end -= 1; + } + text[..end].to_string() + } else { + text + }; + + // Count "sections" as paragraphs (double newlines) + let sections = truncated.split("\n\n").count(); + + Ok(BudgetedExtractionResult { + text: truncated, + sections_extracted: sections, + sections_total: sections, + completed: true, + elapsed_ms: start.elapsed().as_millis().try_into().unwrap_or(u64::MAX), + coverage: 1.0, + }) +} + +/// Check if MIME type is an Office Open XML format (xlsx, docx, pptx). +fn is_ooxml_mime(mime: Option<&str>) -> bool { + let Some(m) = mime else { return false }; + let m = m.to_lowercase(); + m.contains("spreadsheetml") + || m.contains("wordprocessingml") + || m.contains("presentationml") + || m == "application/vnd.ms-excel" + || m == "application/msword" + || m == "application/vnd.ms-powerpoint" +} + +/// Extract OOXML and legacy Office documents using the reader registry. +fn extract_ooxml_budgeted( + bytes: &[u8], + mime: Option<&str>, + uri: Option<&str>, +) -> Result { + use crate::reader::{DocumentFormat, ReaderHint, ReaderRegistry}; + + let start = Instant::now(); + + // Determine the document format from MIME first, then fall back to extension + let format = match mime.map(str::to_lowercase).as_deref() { + Some(m) if m.contains("spreadsheetml") => Some(DocumentFormat::Xlsx), + Some(m) if m.contains("wordprocessingml") => Some(DocumentFormat::Docx), + Some(m) if m.contains("presentationml") => Some(DocumentFormat::Pptx), + Some("application/vnd.ms-excel") => Some(DocumentFormat::Xls), + _ => { + // Fall back to extension-based detection + uri.and_then(|u| { + let lower = u.to_lowercase(); + if lower.ends_with(".xlsx") { + Some(DocumentFormat::Xlsx) + } else if lower.ends_with(".docx") { + Some(DocumentFormat::Docx) + } else if lower.ends_with(".pptx") { + Some(DocumentFormat::Pptx) + } else if lower.ends_with(".xls") { + Some(DocumentFormat::Xls) + } else { + None + } + }) + } + }; + + let hint = ReaderHint::new(mime, format).with_uri(uri); + let registry = ReaderRegistry::default(); + + if let Some(reader) = registry.find_reader(&hint) { + match reader.extract(bytes, &hint) { + Ok(output) => { + let text = output.document.text.unwrap_or_default(); + let sections = text + .split("\n\n") + .filter(|s| !s.trim().is_empty()) + .count() + .max(1); + Ok(BudgetedExtractionResult { + text, + sections_extracted: sections, + sections_total: sections, + completed: true, + elapsed_ms: start.elapsed().as_millis().try_into().unwrap_or(u64::MAX), + coverage: 1.0, + }) + } + Err(e) => Err(e), + } + } else { + // No reader found, return empty + Ok(BudgetedExtractionResult { + text: String::new(), + sections_extracted: 0, + sections_total: 0, + completed: true, + elapsed_ms: start.elapsed().as_millis().try_into().unwrap_or(u64::MAX), + coverage: 1.0, + }) + } +} + +/// Determine document type and extract with budget. +pub fn extract_with_budget( + bytes: &[u8], + mime: Option<&str>, + uri: Option<&str>, + budget: ExtractionBudget, +) -> Result { + // Check if PDF + let is_pdf = mime.is_some_and(|m| m.contains("pdf")) || is_pdf_magic(bytes); + + if is_pdf { + extract_pdf_budgeted(bytes, budget) + } else if is_ooxml_mime(mime) || is_ooxml_by_extension(uri) || is_ooxml_by_magic(bytes, uri) { + // Handle Office Open XML formats (xlsx, docx, pptx) via reader registry + extract_ooxml_budgeted(bytes, mime, uri) + } else if is_binary_mime(mime) || is_binary_content(bytes) { + // Skip extraction for binary content (video, audio, images, etc.) + Ok(BudgetedExtractionResult { + text: String::new(), + sections_extracted: 0, + sections_total: 0, + completed: true, + elapsed_ms: 0, + coverage: 1.0, + }) + } else { + // Treat as text + extract_text_budgeted(bytes, budget) + } +} + +/// Check if file extension indicates OOXML format +fn is_ooxml_by_extension(uri: Option<&str>) -> bool { + let Some(u) = uri else { return false }; + let lower = u.to_lowercase(); + lower.ends_with(".docx") + || lower.ends_with(".xlsx") + || lower.ends_with(".pptx") + || lower.ends_with(".doc") + || lower.ends_with(".xls") + || lower.ends_with(".ppt") +} + +/// Check if bytes start with ZIP magic and extension indicates OOXML +fn is_ooxml_by_magic(bytes: &[u8], uri: Option<&str>) -> bool { + // ZIP magic bytes: PK\x03\x04 + if bytes.len() >= 4 && bytes.starts_with(&[0x50, 0x4B, 0x03, 0x04]) { + // It's a ZIP file - check if extension suggests Office format + is_ooxml_by_extension(uri) + } else { + false + } +} + +/// Check if mime type indicates binary content +fn is_binary_mime(mime: Option<&str>) -> bool { + let Some(m) = mime else { return false }; + let m = m.to_lowercase(); + m.starts_with("video/") + || m.starts_with("audio/") + || m.starts_with("image/") + || m == "application/octet-stream" + || m.contains("zip") + || m.contains("gzip") + || m.contains("tar") + || m.contains("rar") + || m.contains("7z") +} + +/// Check if content appears to be binary (high ratio of non-printable bytes) +fn is_binary_content(bytes: &[u8]) -> bool { + if bytes.is_empty() { + return false; + } + // Sample first 8KB to detect binary content + let sample_size = bytes.len().min(8192); + let sample = &bytes[..sample_size]; + + let non_text_count = sample + .iter() + .filter(|&&b| { + // Non-text: null bytes, or bytes outside printable ASCII/UTF-8 range + // Allow: tab, newline, carriage return, and printable ASCII + b == 0 || (b < 32 && b != 9 && b != 10 && b != 13) + }) + .count(); + + // If >30% of bytes are non-text, treat as binary + non_text_count * 100 / sample_size > 30 +} + +/// Check PDF magic bytes. +fn is_pdf_magic(bytes: &[u8]) -> bool { + if bytes.is_empty() { + return false; + } + let mut slice = bytes; + // Skip BOM + if slice.starts_with(&[0xEF, 0xBB, 0xBF]) { + slice = &slice[3..]; + } + // Skip whitespace + while let Some((first, rest)) = slice.split_first() { + if *first == 0 || first.is_ascii_whitespace() { + slice = rest; + } else { + break; + } + } + slice.starts_with(b"%PDF") +} + +/// Finish extraction and build result. +fn finish_extraction( + mut pages: Vec<(u32, String)>, + total_pages: usize, + start: Instant, + completed: bool, +) -> Result { + // Sort by page number for coherent output + pages.sort_by_key(|(num, _)| *num); + + let sections_extracted = pages.len(); + let text = pages + .into_iter() + .map(|(_, text)| fix_pdf_spacing(&text)) // Clean up character spacing + .collect::>() + .join("\n\n"); + + let coverage = if total_pages > 0 { + sections_extracted as f32 / total_pages as f32 + } else { + 1.0 + }; + + Ok(BudgetedExtractionResult { + text, + sections_extracted, + sections_total: total_pages, + completed, + elapsed_ms: start.elapsed().as_millis().try_into().unwrap_or(u64::MAX), + coverage, + }) +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_text_extraction_budget() { + let text = b"Hello world.\n\nThis is a test.\n\nAnother paragraph."; + let result = extract_text_budgeted(text, ExtractionBudget::default()).unwrap(); + + assert!(result.completed); + assert!(result.has_content()); + assert_eq!(result.sections_extracted, 3); + assert_eq!(result.coverage, 1.0); + } + + #[test] + fn test_text_truncation() { + let text = "x".repeat(200_000); + let budget = ExtractionBudget { + max_chars: 1000, + ..Default::default() + }; + let result = extract_text_budgeted(text.as_bytes(), budget).unwrap(); + + assert_eq!(result.text.len(), 1000); + } + + #[test] + fn test_pdf_magic_detection() { + assert!(is_pdf_magic(b"%PDF-1.7")); + assert!(is_pdf_magic(b" \n%PDF-1.4")); + assert!(!is_pdf_magic(b"Hello world")); + assert!(!is_pdf_magic(b"")); + } + + #[test] + fn test_budget_config() { + let default = ExtractionBudget::default(); + assert_eq!(default.budget.as_millis(), 350); + + let custom = ExtractionBudget::with_ms(500); + assert_eq!(custom.budget.as_millis(), 500); + + let unlimited = ExtractionBudget::unlimited(); + assert_eq!(unlimited.sample_interval, 1); + } + + // PDF spacing cleanup tests are in text.rs (fix_pdf_spacing function) +} diff --git a/src/footer.rs b/src/footer.rs new file mode 100644 index 0000000..764e9d1 --- /dev/null +++ b/src/footer.rs @@ -0,0 +1,179 @@ +use std::convert::TryInto; + +use blake3::Hasher; +use memchr::memrchr; + +/// Magic trailer marker appended to every committed TOC. +pub const FOOTER_MAGIC: &[u8; 8] = b"MV2FOOT!"; + +/// Total size of a commit footer in bytes. +pub const FOOTER_SIZE: usize = FOOTER_MAGIC.len() + 8 + 32 + 8; + +/// Parsed representation of the footer trailer. +#[derive(Debug, Clone, PartialEq, Eq)] +pub struct CommitFooter { + pub toc_len: u64, + pub toc_hash: [u8; 32], + pub generation: u64, +} + +impl CommitFooter { + /// Serialises the footer into a fixed-size byte array. + #[must_use] + pub fn encode(&self) -> [u8; FOOTER_SIZE] { + let mut buf = [0u8; FOOTER_SIZE]; + buf[..FOOTER_MAGIC.len()].copy_from_slice(FOOTER_MAGIC); + buf[FOOTER_MAGIC.len()..FOOTER_MAGIC.len() + 8] + .copy_from_slice(&self.toc_len.to_le_bytes()); + buf[FOOTER_MAGIC.len() + 8..FOOTER_MAGIC.len() + 40].copy_from_slice(&self.toc_hash); + buf[FOOTER_MAGIC.len() + 40..].copy_from_slice(&self.generation.to_le_bytes()); + buf + } + + /// Attempts to decode a footer from a byte slice. + #[must_use] + pub fn decode(bytes: &[u8]) -> Option { + if bytes.len() != FOOTER_SIZE { + return None; + } + if &bytes[..FOOTER_MAGIC.len()] != FOOTER_MAGIC { + return None; + } + let toc_len = u64::from_le_bytes( + bytes[FOOTER_MAGIC.len()..FOOTER_MAGIC.len() + 8] + .try_into() + .ok()?, + ); + let mut toc_hash = [0u8; 32]; + toc_hash.copy_from_slice(&bytes[FOOTER_MAGIC.len() + 8..FOOTER_MAGIC.len() + 40]); + let generation = u64::from_le_bytes(bytes[FOOTER_MAGIC.len() + 40..].try_into().ok()?); + Some(Self { + toc_len, + toc_hash, + generation, + }) + } + + #[must_use] + pub fn hash_matches(&self, toc_bytes: &[u8]) -> bool { + let mut hasher = Hasher::new(); + hasher.update(toc_bytes); + hasher.finalize().as_bytes() == &self.toc_hash + } +} + +/// Result of scanning a file for the last valid commit footer. +#[derive(Debug)] +pub struct FooterSlice<'a> { + pub footer_offset: usize, + pub toc_offset: usize, + pub footer: CommitFooter, + pub toc_bytes: &'a [u8], +} + +/// Scan the provided bytes backwards to locate the most recent valid footer. +#[must_use] +pub fn find_last_valid_footer(bytes: &[u8]) -> Option> { + if bytes.len() < FOOTER_SIZE { + return None; + } + + let total_len = bytes.len(); + let mut search_end = bytes.len(); + while let Some(pos) = memrchr(FOOTER_MAGIC[0], &bytes[..search_end]) { + if pos + FOOTER_SIZE > total_len { + if pos == 0 { + break; + } + search_end = pos; + continue; + } + let candidate = &bytes[pos..pos + FOOTER_SIZE]; + if let Some(footer) = CommitFooter::decode(candidate) { + let toc_end = pos; + let toc_len = usize::try_from(footer.toc_len).unwrap_or(0); + if toc_len == 0 || toc_len > toc_end { + search_end = pos; + continue; + } + let toc_offset = toc_end - toc_len; + let toc_bytes = &bytes[toc_offset..toc_end]; + if !footer.hash_matches(toc_bytes) { + search_end = pos; + continue; + } + return Some(FooterSlice { + footer_offset: pos, + toc_offset, + footer, + toc_bytes, + }); + } + if pos == 0 { + break; + } + search_end = pos; + } + None +} + +#[cfg(test)] +mod tests { + use super::*; + + fn build_sample_bytes(generation: u64, toc: &[u8]) -> Vec { + let mut footer_hash = Hasher::new(); + footer_hash.update(toc); + let mut buffer = Vec::new(); + buffer.extend_from_slice(toc); + let footer = CommitFooter { + toc_len: toc.len() as u64, + toc_hash: *footer_hash.finalize().as_bytes(), + generation, + }; + buffer.extend_from_slice(&footer.encode()); + buffer + } + + #[test] + fn encode_decode_roundtrip() { + let footer = CommitFooter { + toc_len: 123, + toc_hash: [0xAB; 32], + generation: 99, + }; + let encoded = footer.encode(); + let decoded = CommitFooter::decode(&encoded).expect("decode"); + assert_eq!(footer, decoded); + } + + #[test] + fn scan_finds_footer() { + let toc = vec![0xAA, 0xBB, 0xCC]; + let bytes = build_sample_bytes(7, &toc); + let slice = find_last_valid_footer(&bytes).expect("footer present"); + assert_eq!(slice.footer.generation, 7); + assert_eq!(slice.toc_bytes, toc); + assert_eq!( + &bytes[slice.footer_offset..slice.footer_offset + FOOTER_SIZE], + &slice.footer.encode() + ); + } + + #[test] + fn scan_skips_corrupt_footer() { + let toc = vec![1u8, 2, 3, 4]; + let mut bytes = build_sample_bytes(1, &toc); + // Corrupt the hash of the first footer. + let idx = bytes.len() - FOOTER_SIZE + FOOTER_MAGIC.len() + 12; + bytes[idx] ^= 0xFF; + // Append a valid second footer. + let mut extra_toc = vec![9u8; 10]; + extra_toc.push(42); + let appended = build_sample_bytes(2, &extra_toc); + bytes.extend_from_slice(&appended); + let slice = find_last_valid_footer(&bytes).expect("footer present"); + assert_eq!(slice.footer.generation, 2); + assert_eq!(slice.toc_bytes, &extra_toc); + } +} diff --git a/src/graph_search.rs b/src/graph_search.rs new file mode 100644 index 0000000..8a90d55 --- /dev/null +++ b/src/graph_search.rs @@ -0,0 +1,509 @@ +//! Graph-aware search combining MemoryCards/Logic-Mesh with vector search. +//! +//! This module provides hybrid retrieval that can: +//! 1. Parse natural language queries for relational patterns +//! 2. Match patterns against entity state (`MemoryCards`) or graph (Logic-Mesh) +//! 3. Combine graph-filtered candidates with vector ranking + +use std::collections::{HashMap, HashSet}; + +use crate::types::{ + GraphMatchResult, GraphPattern, HybridSearchHit, PatternTerm, QueryPlan, SearchRequest, + TriplePattern, +}; +use crate::{FrameId, Memvid, Result}; + +/// Query planner that analyzes queries and creates execution plans. +#[derive(Debug, Default)] +pub struct QueryPlanner { + /// Patterns for detecting relational queries + entity_patterns: Vec, +} + +/// Pattern for detecting entity-related queries. +#[derive(Debug, Clone)] +struct EntityPattern { + /// Keywords that trigger this pattern + keywords: Vec<&'static str>, + /// Slot to query + slot: &'static str, + /// Whether the pattern looks for a specific value + needs_value: bool, +} + +impl QueryPlanner { + /// Create a new query planner. + #[must_use] + pub fn new() -> Self { + let mut planner = Self::default(); + planner.init_patterns(); + planner + } + + fn init_patterns(&mut self) { + // Location patterns + self.entity_patterns.push(EntityPattern { + keywords: vec![ + "who lives in", + "people in", + "users in", + "from", + "located in", + "based in", + ], + slot: "location", + needs_value: true, + }); + + // Employer/workplace patterns + self.entity_patterns.push(EntityPattern { + keywords: vec![ + "who works at", + "employees of", + "people at", + "works for", + "employed by", + ], + slot: "workplace", // OpenAI enrichment uses "workplace" not "employer" + needs_value: true, + }); + + // Preference patterns + self.entity_patterns.push(EntityPattern { + keywords: vec![ + "who likes", + "who loves", + "fans of", + "people who like", + "people who love", + ], + slot: "preference", + needs_value: true, + }); + + // Entity state patterns + self.entity_patterns.push(EntityPattern { + keywords: vec!["what is", "where does", "who is", "what does"], + slot: "", + needs_value: false, + }); + } + + /// Analyze a query and produce an execution plan. + #[must_use] + pub fn plan(&self, query: &str, top_k: usize) -> QueryPlan { + let query_lower = query.to_lowercase(); + + // Try to detect relational patterns + if let Some(pattern) = self.detect_pattern(&query_lower, query) { + if pattern.triples.is_empty() { + // No specific pattern found, use vector search + QueryPlan::vector_only(Some(query.to_string()), None, top_k) + } else { + // Found relational pattern - use hybrid search + QueryPlan::hybrid(pattern, Some(query.to_string()), None, top_k) + } + } else { + // Default to vector-only search + QueryPlan::vector_only(Some(query.to_string()), None, top_k) + } + } + + fn detect_pattern(&self, query_lower: &str, _original: &str) -> Option { + let mut pattern = GraphPattern::new(); + + for ep in &self.entity_patterns { + for keyword in &ep.keywords { + if query_lower.contains(keyword) { + // Extract the value after the keyword + if let Some(pos) = query_lower.find(keyword) { + let after = &query_lower[pos + keyword.len()..]; + let value = extract_value(after); + + if !value.is_empty() && ep.needs_value { + // Create pattern: ?entity :slot "value" + pattern.add(TriplePattern::any_slot_value("entity", ep.slot, &value)); + return Some(pattern); + } + } + } + } + } + + // Check for entity-specific queries like "alice's employer" or "what is alice's job" + if let Some((entity, slot)) = extract_possessive_query(query_lower) { + pattern.add(TriplePattern::entity_slot_any(&entity, &slot, "value")); + return Some(pattern); + } + + Some(pattern) + } +} + +/// Extract a value from text after a keyword. +fn extract_value(text: &str) -> String { + let trimmed = text.trim(); + // Take words until we hit a common query continuation + let stop_words = ["and", "or", "who", "what", "that", "?"]; + let mut words = Vec::new(); + + for word in trimmed.split_whitespace() { + let clean = word.trim_matches(|c: char| !c.is_alphanumeric() && c != '-'); + if stop_words.contains(&clean.to_lowercase().as_str()) { + break; + } + if !clean.is_empty() { + words.push(clean); + } + // Stop after a few words + if words.len() >= 3 { + break; + } + } + + words.join(" ") +} + +/// Extract entity and slot from possessive queries like "alice's employer". +fn extract_possessive_query(query: &str) -> Option<(String, String)> { + // Pattern: "X's Y" or "X's Y is" + if let Some(pos) = query.find("'s ") { + let entity = query[..pos].split_whitespace().last()?; + let after = &query[pos + 3..]; + let slot = after.split_whitespace().next()?; + + // Map common slot aliases + let slot = match slot { + "job" | "work" | "employer" | "role" | "company" => "workplace", + "home" | "city" | "address" => "location", + "favorite" => "preference", + "wife" | "husband" | "spouse" | "partner" => "spouse", + other => other, + }; + + return Some((entity.to_string(), slot.to_string())); + } + None +} + +/// Graph matcher that executes patterns against `MemoryCards`. +pub struct GraphMatcher<'a> { + memvid: &'a Memvid, +} + +impl<'a> GraphMatcher<'a> { + /// Create a new graph matcher. + #[must_use] + pub fn new(memvid: &'a Memvid) -> Self { + Self { memvid } + } + + /// Execute a graph pattern and return matching results. + #[must_use] + pub fn execute(&self, pattern: &GraphPattern) -> Vec { + let mut results = Vec::new(); + + for triple in &pattern.triples { + let matches = self.match_triple(triple); + results.extend(matches); + } + + // Deduplicate by entity + let mut seen = HashSet::new(); + results.retain(|r| seen.insert(r.entity.clone())); + + results + } + + fn match_triple(&self, triple: &TriplePattern) -> Vec { + let mut results = Vec::new(); + + match (&triple.subject, &triple.predicate, &triple.object) { + // Pattern: ?entity :slot "value" - find entities with this slot value + ( + PatternTerm::Variable(var), + PatternTerm::Literal(slot), + PatternTerm::Literal(value), + ) => { + // Iterate all entities and check for matching slot value + for entity in self.memvid.memory_entities() { + let cards = self.memvid.get_entity_memories(&entity); + for card in cards { + if card.slot.to_lowercase() == *slot + && card.value.to_lowercase().contains(&value.to_lowercase()) + { + let mut result = GraphMatchResult::new( + entity.clone(), + vec![card.source_frame_id], + 1.0, + ); + result.bind(var, entity.clone()); + results.push(result); + break; // One match per entity + } + } + } + } + + // Pattern: "entity" :slot ?value - get entity's slot value + ( + PatternTerm::Literal(entity), + PatternTerm::Literal(slot), + PatternTerm::Variable(var), + ) => { + if let Some(card) = self.memvid.get_current_memory(entity, slot) { + let mut result = + GraphMatchResult::new(entity.clone(), vec![card.source_frame_id], 1.0); + result.bind(var, card.value.clone()); + results.push(result); + } + } + + // Pattern: "entity" :slot "value" - check if entity has this exact value + ( + PatternTerm::Literal(entity), + PatternTerm::Literal(slot), + PatternTerm::Literal(value), + ) => { + if let Some(card) = self.memvid.get_current_memory(entity, slot) { + if card.value.to_lowercase().contains(&value.to_lowercase()) { + let result = + GraphMatchResult::new(entity.clone(), vec![card.source_frame_id], 1.0); + results.push(result); + } + } + } + + _ => { + // Other patterns not yet implemented + } + } + + results + } + + /// Get frame IDs from graph matches for use in vector search filtering. + #[must_use] + pub fn get_candidate_frames(&self, matches: &[GraphMatchResult]) -> Vec { + let mut frame_ids: Vec = matches + .iter() + .flat_map(|m| m.frame_ids.iter().copied()) + .collect(); + frame_ids.sort_unstable(); + frame_ids.dedup(); + frame_ids + } + + /// Get matched entities for context. + #[must_use] + pub fn get_matched_entities(&self, matches: &[GraphMatchResult]) -> HashMap { + let mut map = HashMap::new(); + for m in matches { + for &fid in &m.frame_ids { + map.insert(fid, m.entity.clone()); + } + } + map + } +} + +/// Execute a hybrid search: graph filter + vector ranking. +pub fn hybrid_search(memvid: &mut Memvid, plan: &QueryPlan) -> Result> { + match plan { + QueryPlan::VectorOnly { + query_text, top_k, .. + } => { + // Fall back to regular lexical search + let query = query_text.as_deref().unwrap_or(""); + let request = SearchRequest { + query: query.to_string(), + top_k: *top_k, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: crate::types::AclEnforcementMode::Audit, + }; + let response = memvid.search(request)?; + Ok(response + .hits + .iter() + .map(|h| { + let score = h.score.unwrap_or(0.0); + HybridSearchHit { + frame_id: h.frame_id, + score, + graph_score: 0.0, + vector_score: score, + matched_entity: None, + preview: Some(h.text.clone()), + } + }) + .collect()) + } + + QueryPlan::GraphOnly { pattern, limit } => { + let matcher = GraphMatcher::new(memvid); + let matches = matcher.execute(pattern); + + Ok(matches + .into_iter() + .take(*limit) + .map(|m| HybridSearchHit { + frame_id: m.frame_ids.first().copied().unwrap_or(0), + score: m.confidence, + graph_score: m.confidence, + vector_score: 0.0, + matched_entity: Some(m.entity), + preview: None, + }) + .collect()) + } + + QueryPlan::Hybrid { + graph_filter, + query_text, + top_k, + .. + } => { + // Step 1: Execute graph pattern to get candidate frames + let matcher = GraphMatcher::new(memvid); + let matches = matcher.execute(graph_filter); + let entity_map = matcher.get_matched_entities(&matches); + let candidate_frames = matcher.get_candidate_frames(&matches); + + if candidate_frames.is_empty() { + // No graph matches - fall back to lexical search + let query = query_text.as_deref().unwrap_or(""); + let request = SearchRequest { + query: query.to_string(), + top_k: *top_k, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: crate::types::AclEnforcementMode::Audit, + }; + let response = memvid.search(request)?; + return Ok(response + .hits + .iter() + .map(|h| { + let score = h.score.unwrap_or(0.0); + HybridSearchHit { + frame_id: h.frame_id, + score, + graph_score: 0.0, + vector_score: score, + matched_entity: None, + preview: Some(h.text.clone()), + } + }) + .collect()); + } + + // Step 2: Return graph matches directly with frame previews + // Graph matching already found the relevant frames - return them + let mut hybrid_hits: Vec = Vec::new(); + + for &frame_id in &candidate_frames { + let matched_entity = entity_map.get(&frame_id).cloned(); + + // Get frame preview if possible + let preview = memvid.frame_preview_by_id(frame_id).ok(); + + hybrid_hits.push(HybridSearchHit { + frame_id, + score: 1.0, // Graph match score + graph_score: 1.0, + vector_score: 0.0, + matched_entity, + preview, + }); + } + + Ok(hybrid_hits.into_iter().take(*top_k).collect()) + } + } +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_query_planner_detects_location() { + let planner = QueryPlanner::new(); + let plan = planner.plan("who lives in San Francisco", 10); + + match plan { + QueryPlan::Hybrid { graph_filter, .. } => { + assert!(!graph_filter.is_empty()); + let triple = &graph_filter.triples[0]; + assert!(matches!(&triple.predicate, PatternTerm::Literal(s) if s == "location")); + } + _ => panic!("Expected hybrid plan for location query"), + } + } + + #[test] + fn test_query_planner_detects_workplace() { + let planner = QueryPlanner::new(); + let plan = planner.plan("who works at Google", 10); + + match plan { + QueryPlan::Hybrid { graph_filter, .. } => { + assert!(!graph_filter.is_empty()); + let triple = &graph_filter.triples[0]; + assert!(matches!(&triple.predicate, PatternTerm::Literal(s) if s == "workplace")); + } + _ => panic!("Expected hybrid plan for workplace query"), + } + } + + #[test] + fn test_query_planner_possessive() { + let planner = QueryPlanner::new(); + let plan = planner.plan("what is alice's employer", 10); + + match plan { + QueryPlan::Hybrid { graph_filter, .. } => { + assert!(!graph_filter.is_empty()); + let triple = &graph_filter.triples[0]; + assert!(matches!(&triple.subject, PatternTerm::Literal(s) if s == "alice")); + } + _ => panic!("Expected hybrid plan for possessive query"), + } + } + + #[test] + fn test_extract_value() { + assert_eq!(extract_value("San Francisco and"), "San Francisco"); + assert_eq!(extract_value("Google who"), "Google"); + assert_eq!(extract_value("New York City"), "New York City"); + } + + #[test] + fn test_extract_possessive() { + assert_eq!( + extract_possessive_query("what is alice's job"), + Some(("alice".to_string(), "workplace".to_string())) + ); + assert_eq!( + extract_possessive_query("bob's location"), + Some(("bob".to_string(), "location".to_string())) + ); + } +} diff --git a/src/io/header.rs b/src/io/header.rs new file mode 100644 index 0000000..859f5ed --- /dev/null +++ b/src/io/header.rs @@ -0,0 +1,249 @@ +use std::{ + convert::TryInto, + io::{Read, Seek, SeekFrom, Write}, +}; + +use crate::{ + constants::{HEADER_SIZE, MAGIC, SPEC_MAJOR, SPEC_MINOR, WAL_OFFSET}, + error::{MemvidError, Result}, + types::Header, +}; + +const VERSION_OFFSET: usize = 4; +const SPEC_BYTES_OFFSET: usize = 6; +const FOOTER_OFFSET_POS: usize = 8; +const WAL_OFFSET_POS: usize = 16; +const WAL_SIZE_POS: usize = 24; +const WAL_CHECKPOINT_POS: usize = 32; +const WAL_SEQUENCE_POS: usize = 40; +const TOC_CHECKSUM_POS: usize = 48; +const TOC_CHECKSUM_END: usize = 80; +// Legacy lock metadata occupied bytes 80..140 within the header padding. +const LEGACY_LOCK_REGION_START: usize = TOC_CHECKSUM_END; +const LEGACY_LOCK_REGION_END: usize = LEGACY_LOCK_REGION_START + 60; +const EXPECTED_VERSION: u16 = ((SPEC_MAJOR as u16) << 8) | SPEC_MINOR as u16; + +/// Deterministic encoder/decoder for the fixed-size header region. +pub struct HeaderCodec; + +impl HeaderCodec { + /// Writes the header back to the beginning of the file, zero-filling any unused bytes. + pub fn write(mut writer: W, header: &Header) -> Result<()> { + let bytes = Self::encode(header)?; + writer.seek(SeekFrom::Start(0))?; + writer.write_all(&bytes)?; + Ok(()) + } + + /// Reads and decodes the header from the start of the file. If legacy lock metadata is present + /// in the reserved padding, it is cleared in-place before decoding to maintain forward + /// compatibility with older files. + pub fn read(mut reader: R) -> Result
{ + let mut buf = [0u8; HEADER_SIZE]; + reader.seek(SeekFrom::Start(0))?; + reader.read_exact(&mut buf)?; + if clear_legacy_lock_metadata(&mut buf) { + reader.seek(SeekFrom::Start(0))?; + reader.write_all(&buf)?; + reader.flush()?; + } + Self::decode(&buf) + } + + /// Encodes a header into the canonical 4 KB byte representation. + pub fn encode(header: &Header) -> Result<[u8; HEADER_SIZE]> { + if header.magic != MAGIC { + return Err(MemvidError::InvalidHeader { + reason: "magic mismatch".into(), + }); + } + if header.version != EXPECTED_VERSION { + return Err(MemvidError::InvalidHeader { + reason: "unsupported version".into(), + }); + } + if header.wal_offset < WAL_OFFSET { + return Err(MemvidError::InvalidHeader { + reason: "wal_offset precedes data region".into(), + }); + } + if header.wal_size == 0 { + return Err(MemvidError::InvalidHeader { + reason: "wal_size must be non-zero".into(), + }); + } + + let mut buf = [0u8; HEADER_SIZE]; + buf[..MAGIC.len()].copy_from_slice(&header.magic); + buf[VERSION_OFFSET..VERSION_OFFSET + 2].copy_from_slice(&header.version.to_le_bytes()); + buf[SPEC_BYTES_OFFSET] = SPEC_MAJOR; + buf[SPEC_BYTES_OFFSET + 1] = SPEC_MINOR; + buf[FOOTER_OFFSET_POS..FOOTER_OFFSET_POS + 8] + .copy_from_slice(&header.footer_offset.to_le_bytes()); + buf[WAL_OFFSET_POS..WAL_OFFSET_POS + 8].copy_from_slice(&header.wal_offset.to_le_bytes()); + buf[WAL_SIZE_POS..WAL_SIZE_POS + 8].copy_from_slice(&header.wal_size.to_le_bytes()); + buf[WAL_CHECKPOINT_POS..WAL_CHECKPOINT_POS + 8] + .copy_from_slice(&header.wal_checkpoint_pos.to_le_bytes()); + buf[WAL_SEQUENCE_POS..WAL_SEQUENCE_POS + 8] + .copy_from_slice(&header.wal_sequence.to_le_bytes()); + buf[TOC_CHECKSUM_POS..TOC_CHECKSUM_END].copy_from_slice(&header.toc_checksum); + Ok(buf) + } + + /// Decodes the canonical header bytes into a strongly typed struct after validation. + pub fn decode(bytes: &[u8; HEADER_SIZE]) -> Result
{ + // Extract fixed-size arrays from the header buffer + // All indices are compile-time constants, so these slices are guaranteed to fit + let magic: [u8; 4] = extract_array(bytes, 0)?; + if magic != MAGIC { + return Err(MemvidError::InvalidHeader { + reason: "magic mismatch".into(), + }); + } + + let version = u16::from_le_bytes(extract_array(bytes, VERSION_OFFSET)?); + if version != EXPECTED_VERSION { + return Err(MemvidError::InvalidHeader { + reason: "unsupported version".into(), + }); + } + + if bytes[SPEC_BYTES_OFFSET] != SPEC_MAJOR || bytes[SPEC_BYTES_OFFSET + 1] != SPEC_MINOR { + return Err(MemvidError::InvalidHeader { + reason: "spec byte mismatch".into(), + }); + } + + let footer_offset = u64::from_le_bytes(extract_array(bytes, FOOTER_OFFSET_POS)?); + let wal_offset = u64::from_le_bytes(extract_array(bytes, WAL_OFFSET_POS)?); + if wal_offset < WAL_OFFSET { + return Err(MemvidError::InvalidHeader { + reason: "wal_offset precedes data region".into(), + }); + } + let wal_size = u64::from_le_bytes(extract_array(bytes, WAL_SIZE_POS)?); + if wal_size == 0 { + return Err(MemvidError::InvalidHeader { + reason: "wal_size must be non-zero".into(), + }); + } + let wal_checkpoint_pos = u64::from_le_bytes(extract_array(bytes, WAL_CHECKPOINT_POS)?); + let wal_sequence = u64::from_le_bytes(extract_array(bytes, WAL_SEQUENCE_POS)?); + let toc_checksum: [u8; 32] = extract_array(bytes, TOC_CHECKSUM_POS)?; + + Ok(Header { + magic, + version, + footer_offset, + wal_offset, + wal_size, + wal_checkpoint_pos, + wal_sequence, + toc_checksum, + }) + } +} + +/// Extracts a fixed-size array from a byte slice at the given offset. +/// Returns an error if the slice is too short (should never happen with valid headers). +#[inline] +fn extract_array(bytes: &[u8], offset: usize) -> Result<[u8; N]> { + bytes + .get(offset..offset + N) + .and_then(|s| s.try_into().ok()) + .ok_or_else(|| MemvidError::InvalidHeader { + reason: "header truncated".into(), + }) +} + +fn clear_legacy_lock_metadata(buf: &mut [u8; HEADER_SIZE]) -> bool { + let region = &mut buf[LEGACY_LOCK_REGION_START..LEGACY_LOCK_REGION_END]; + if region.iter().any(|byte| *byte != 0) { + region.fill(0); + true + } else { + false + } +} + +#[cfg(test)] +mod tests { + use super::*; + use std::io::Cursor; + + fn sample_header() -> Header { + Header { + magic: MAGIC, + version: EXPECTED_VERSION, + footer_offset: 1_048_576, + wal_offset: WAL_OFFSET, + wal_size: 4 * 1024 * 1024, + wal_checkpoint_pos: 0, + wal_sequence: 42, + toc_checksum: [0xAB; 32], + } + } + + #[test] + fn roundtrip_encode_decode() { + let header = sample_header(); + let encoded = HeaderCodec::encode(&header).expect("encode header"); + let decoded = HeaderCodec::decode(&encoded).expect("decode header"); + assert_eq!(decoded.magic, MAGIC); + assert_eq!(decoded.version, EXPECTED_VERSION); + assert_eq!(decoded.footer_offset, header.footer_offset); + assert_eq!(decoded.wal_offset, WAL_OFFSET); + assert_eq!(decoded.toc_checksum, header.toc_checksum); + } + + #[test] + fn read_write_from_cursor() { + let header = sample_header(); + let mut cursor = Cursor::new(vec![0u8; HEADER_SIZE]); + HeaderCodec::write(&mut cursor, &header).expect("write header"); + cursor.set_position(0); + let decoded = HeaderCodec::read(&mut cursor).expect("read header"); + assert_eq!(decoded.wal_size, header.wal_size); + assert_eq!(decoded.wal_sequence, header.wal_sequence); + } + + #[test] + fn clears_legacy_lock_metadata() { + let header = sample_header(); + let mut encoded = HeaderCodec::encode(&header).expect("encode header"); + encoded[LEGACY_LOCK_REGION_START..LEGACY_LOCK_REGION_END].fill(0xAA); + let mut cursor = Cursor::new(encoded.to_vec()); + HeaderCodec::read(&mut cursor).expect("read header with legacy metadata"); + let sanitized = cursor.into_inner(); + assert!( + sanitized[LEGACY_LOCK_REGION_START..LEGACY_LOCK_REGION_END] + .iter() + .all(|byte| *byte == 0) + ); + } + + #[test] + fn reject_invalid_magic() { + let mut header = sample_header(); + header.magic = *b"BAD!"; + let err = HeaderCodec::encode(&header).expect_err("should fail"); + matches!(err, MemvidError::InvalidHeader { .. }); + } + + #[test] + fn reject_short_wal_size() { + let mut header = sample_header(); + header.wal_size = 0; + let err = HeaderCodec::encode(&header).expect_err("should fail"); + matches!(err, MemvidError::InvalidHeader { .. }); + } + + #[test] + fn reject_decoding_with_bad_version() { + let header = sample_header(); + let mut encoded = HeaderCodec::encode(&header).expect("encode header"); + encoded[VERSION_OFFSET] = 0xFF; + let err = HeaderCodec::decode(&encoded).expect_err("decode should fail"); + matches!(err, MemvidError::InvalidHeader { .. }); + } +} diff --git a/src/io/manifest_wal.rs b/src/io/manifest_wal.rs new file mode 100644 index 0000000..43a8730 --- /dev/null +++ b/src/io/manifest_wal.rs @@ -0,0 +1,300 @@ +//! Durable manifest WAL for append-only segment descriptors (parallel ingestion). +//! +//! This WAL stores [`IndexSegmentRef`] entries using a simple length-prefixed format: +//! +//! ```text +//! file header: [ magic (8 bytes) | version (u32) ] +//! record: [ len (u32 LE) | checksum (32 bytes) | payload (len bytes bincode) ] +//! ``` +//! +//! On startup we validate the header, stream all intact records, and truncate any +//! trailing partial record caused by a crash. Writes append records and rely on the +//! caller to `flush()` when durability is required. + +use std::{ + fs::{File, OpenOptions}, + io::{ErrorKind, Read, Seek, SeekFrom, Write}, + path::{Path, PathBuf}, +}; + +use bincode::serde::{decode_from_slice, encode_to_vec}; +use blake3::hash; + +use crate::{Result, error::MemvidError, types::IndexSegmentRef}; + +const FILE_MAGIC: [u8; 8] = *b"MVSGWAL1"; +const FILE_VERSION: u32 = 1; +const FILE_HEADER_SIZE: usize = FILE_MAGIC.len() + 4; +const RECORD_HEADER_SIZE: usize = 4 + 32; // length (u32) + checksum +const MAX_RECORD_BYTES: usize = 4 * 1024 * 1024; // 4 MiB segments metadata upper bound + +fn wal_config() -> impl bincode::config::Config { + bincode::config::standard() + .with_fixed_int_encoding() + .with_little_endian() +} + +/// Crash-safe manifest log backing the upcoming parallel segment builder. +pub struct ManifestWal { + #[allow(dead_code)] + path: PathBuf, + file: File, + entries: Vec, + write_offset: u64, +} + +impl ManifestWal { + /// Opens the WAL at `path`, creating it if necessary and replaying intact entries. + pub fn open>(path: P) -> Result { + let path_buf = path.as_ref().to_path_buf(); + let file = OpenOptions::new() + .read(true) + .write(true) + .create(true) + .open(&path_buf)?; + + let mut wal = Self { + path: path_buf, + file, + entries: Vec::new(), + write_offset: FILE_HEADER_SIZE as u64, + }; + wal.bootstrap()?; + Ok(wal) + } + + /// Appends a batch of segment references. + pub fn append_segments(&mut self, segments: &[IndexSegmentRef]) -> Result<()> { + for segment in segments { + self.append_one(segment)?; + } + Ok(()) + } + + /// Returns a copy of the replayed entries. + pub fn replay(&self) -> Result> { + Ok(self.entries.clone()) + } + + /// Flushes the WAL to durable storage (fsync). + pub fn flush(&mut self) -> Result<()> { + self.file.sync_data()?; + Ok(()) + } + + /// Truncates the WAL back to just the header after entries are materialised. + pub fn truncate(&mut self) -> Result<()> { + self.truncate_at(FILE_HEADER_SIZE as u64)?; + self.entries.clear(); + self.write_offset = FILE_HEADER_SIZE as u64; + self.file.seek(SeekFrom::Start(self.write_offset))?; + Ok(()) + } + + fn append_one(&mut self, segment: &IndexSegmentRef) -> Result<()> { + let payload = encode_to_vec(segment, wal_config())?; + if payload.len() > MAX_RECORD_BYTES { + return Err(MemvidError::CheckpointFailed { + reason: "manifest wal payload exceeds limit".into(), + }); + } + + let checksum = hash(&payload); + self.file.seek(SeekFrom::Start(self.write_offset))?; + // Safe: validated payload.len() <= MAX_RECORD_BYTES (4MB) on line 96 + self.file + .write_all(&(u32::try_from(payload.len()).unwrap_or(u32::MAX)).to_le_bytes())?; + self.file.write_all(checksum.as_bytes())?; + self.file.write_all(&payload)?; + + self.write_offset += (RECORD_HEADER_SIZE + payload.len()) as u64; + self.entries.push(segment.clone()); + Ok(()) + } + + fn bootstrap(&mut self) -> Result<()> { + self.ensure_header()?; + let (entries, offset) = self.scan_entries()?; + self.entries = entries; + self.write_offset = offset; + self.file.seek(SeekFrom::Start(self.write_offset))?; + Ok(()) + } + + fn ensure_header(&mut self) -> Result<()> { + let len = self.file.metadata()?.len(); + if len < FILE_HEADER_SIZE as u64 { + self.file.set_len(0)?; + self.file.seek(SeekFrom::Start(0))?; + self.file.write_all(&FILE_MAGIC)?; + self.file.write_all(&FILE_VERSION.to_le_bytes())?; + self.file.sync_data()?; + self.write_offset = FILE_HEADER_SIZE as u64; + return Ok(()); + } + + let mut magic = [0u8; FILE_MAGIC.len()]; + self.file.seek(SeekFrom::Start(0))?; + self.file.read_exact(&mut magic)?; + if magic != FILE_MAGIC { + return Err(MemvidError::InvalidHeader { + reason: "manifest wal magic mismatch".into(), + }); + } + + let mut version_bytes = [0u8; 4]; + self.file.read_exact(&mut version_bytes)?; + let version = u32::from_le_bytes(version_bytes); + if version != FILE_VERSION { + return Err(MemvidError::InvalidHeader { + reason: "manifest wal version mismatch".into(), + }); + } + + Ok(()) + } + + fn scan_entries(&mut self) -> Result<(Vec, u64)> { + let mut entries = Vec::new(); + let mut offset = FILE_HEADER_SIZE as u64; + let file_len = self.file.metadata()?.len(); + + while offset < file_len { + if file_len - offset < RECORD_HEADER_SIZE as u64 { + self.truncate_at(offset)?; + break; + } + + self.file.seek(SeekFrom::Start(offset))?; + let mut header = [0u8; RECORD_HEADER_SIZE]; + if let Err(err) = self.file.read_exact(&mut header) { + if err.kind() == ErrorKind::UnexpectedEof { + self.truncate_at(offset)?; + break; + } + return Err(err.into()); + } + offset += RECORD_HEADER_SIZE as u64; + + let payload_len = u32::from_le_bytes(header[..4].try_into().unwrap()) as u64; + if payload_len == 0 { + return Err(MemvidError::ManifestWalCorrupted { + offset: offset - RECORD_HEADER_SIZE as u64, + reason: "record length is zero", + }); + } + if payload_len as usize > MAX_RECORD_BYTES { + return Err(MemvidError::ManifestWalCorrupted { + offset: offset - RECORD_HEADER_SIZE as u64, + reason: "record length exceeds limit", + }); + } + if offset + payload_len > file_len { + offset -= RECORD_HEADER_SIZE as u64; + self.truncate_at(offset)?; + break; + } + + // Safe: validated payload_len <= MAX_RECORD_BYTES (4MB) on line 184 + let mut payload = vec![0u8; payload_len as usize]; + if let Err(err) = self.file.read_exact(&mut payload) { + if err.kind() == ErrorKind::UnexpectedEof { + offset -= RECORD_HEADER_SIZE as u64; + self.truncate_at(offset)?; + break; + } + return Err(err.into()); + } + offset += payload_len; + + let digest = hash(&payload); + if digest.as_bytes() != &header[4..] { + return Err(MemvidError::ChecksumMismatch { + context: "manifest_wal", + }); + } + + let (segment, consumed) = decode_from_slice(&payload, wal_config())?; + if consumed != payload.len() { + return Err(MemvidError::ManifestWalCorrupted { + offset: offset - payload_len, + reason: "payload contains trailing bytes", + }); + } + entries.push(segment); + } + + Ok((entries, offset)) + } + + fn truncate_at(&mut self, offset: u64) -> Result<()> { + self.file.set_len(offset)?; + self.file.sync_data()?; + Ok(()) + } +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::types::{SegmentCommon, SegmentKind, SegmentSpan, SegmentStats}; + use tempfile::tempdir; + + fn sample_segment(id: u64) -> IndexSegmentRef { + let mut common = SegmentCommon::new(id, id * 10, 128, [id as u8; 32]); + common.span = Some(SegmentSpan { + frame_start: id * 100, + frame_end: id * 100 + 10, + ..SegmentSpan::default() + }); + IndexSegmentRef { + kind: SegmentKind::Vector, + common, + stats: SegmentStats { + doc_count: 1, + vector_count: 10, + time_entries: 0, + bytes_uncompressed: 2048, + build_micros: 42, + }, + } + } + + #[test] + fn append_and_replay_roundtrip() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("wal.mv2"); + { + let mut wal = ManifestWal::open(&path)?; + wal.append_segments(&[sample_segment(1), sample_segment(2)])?; + wal.flush()?; + } + let wal = ManifestWal::open(&path)?; + let entries = wal.replay()?; + assert_eq!(entries.len(), 2); + assert_eq!(entries[0].common.segment_id, 1); + assert_eq!(entries[1].common.segment_id, 2); + Ok(()) + } + + #[test] + fn truncates_partial_record() -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("wal.mv2"); + { + let mut wal = ManifestWal::open(&path)?; + wal.append_segments(&[sample_segment(7)])?; + wal.flush()?; + } + + // Simulate crash mid-record by chopping a few bytes. + let file = OpenOptions::new().read(true).write(true).open(&path)?; + let len = file.metadata()?.len(); + file.set_len(len.saturating_sub(5))?; + + let wal = ManifestWal::open(&path)?; + let entries = wal.replay()?; + assert!(entries.is_empty(), "partial record should be dropped"); + Ok(()) + } +} diff --git a/src/io/mod.rs b/src/io/mod.rs new file mode 100644 index 0000000..2f8fdb3 --- /dev/null +++ b/src/io/mod.rs @@ -0,0 +1,11 @@ +//! Low-level IO primitives for interacting with `.mv2` files. + +pub mod header; +#[cfg(feature = "parallel_segments")] +pub mod manifest_wal; +#[cfg(feature = "temporal_track")] +pub mod temporal_index; +pub mod time_index; +pub mod wal; + +pub use wal::{EmbeddedWal, WalRecord, WalStats}; diff --git a/src/io/temporal_index.rs b/src/io/temporal_index.rs new file mode 100644 index 0000000..0a2f1e1 --- /dev/null +++ b/src/io/temporal_index.rs @@ -0,0 +1,556 @@ +//! Binary encode/decode helpers for the temporal mentions track (feature gated). + +use std::cmp::Ordering; +use std::io::{Read, Seek, SeekFrom, Write}; +use std::ops::Range; + +use blake3::Hasher; + +use crate::constants::{TEMPORAL_TRACK_MAGIC, TEMPORAL_TRACK_VERSION}; +use crate::error::{MemvidError, Result}; +use crate::types::{ + AnchorSource, TemporalAnchor, TemporalMention, TemporalMentionFlags, TemporalMentionKind, + TemporalTrack, +}; + +const HEADER_SIZE: usize = 56; +const CHECKSUM_OFFSET: usize = 24; +const MENTION_RECORD_SIZE: usize = 32; // padded to 32 bytes for alignment +const ANCHOR_RECORD_SIZE: usize = 24; +const MAX_TEMPORAL_TRACK_BYTES: u64 = 1 << 34; // 16 GiB safety ceiling + +#[derive(Debug, Clone, Copy)] +struct RawMention { + ts_utc: i64, + frame_id: u64, + byte_start: u32, + byte_len: u32, + kind: u8, + confidence: u16, + tz_hint_minutes: i16, + flags: u8, + reserved: u16, +} + +impl RawMention { + fn from_high_level(mention: &TemporalMention) -> Self { + Self { + ts_utc: mention.ts_utc, + frame_id: mention.frame_id, + byte_start: mention.byte_start, + byte_len: mention.byte_len, + kind: mention.kind.to_u8(), + confidence: mention.confidence, + tz_hint_minutes: mention.tz_hint_minutes, + flags: mention.flags.0, + reserved: 0, + } + } + + fn encode(self) -> [u8; MENTION_RECORD_SIZE] { + let mut out = [0u8; MENTION_RECORD_SIZE]; + out[0..8].copy_from_slice(&self.ts_utc.to_le_bytes()); + out[8..16].copy_from_slice(&self.frame_id.to_le_bytes()); + out[16..20].copy_from_slice(&self.byte_start.to_le_bytes()); + out[20..24].copy_from_slice(&self.byte_len.to_le_bytes()); + out[24] = self.kind; + out[25..27].copy_from_slice(&self.confidence.to_le_bytes()); + out[27..29].copy_from_slice(&self.tz_hint_minutes.to_le_bytes()); + out[29] = self.flags; + out[30..32].copy_from_slice(&self.reserved.to_le_bytes()); + out + } + + fn decode(bytes: &[u8]) -> Result { + let ts_utc = i64::from_le_bytes(bytes[0..8].try_into().unwrap()); + let frame_id = u64::from_le_bytes(bytes[8..16].try_into().unwrap()); + let byte_start = u32::from_le_bytes(bytes[16..20].try_into().unwrap()); + let byte_len = u32::from_le_bytes(bytes[20..24].try_into().unwrap()); + let kind = bytes[24]; + let confidence = u16::from_le_bytes(bytes[25..27].try_into().unwrap()); + let tz_hint_minutes = i16::from_le_bytes(bytes[27..29].try_into().unwrap()); + let flags = bytes[29]; + let reserved = u16::from_le_bytes(bytes[30..32].try_into().unwrap()); + Ok(Self { + ts_utc, + frame_id, + byte_start, + byte_len, + kind, + confidence, + tz_hint_minutes, + flags, + reserved, + }) + } + + fn into_high_level(self) -> Result { + let kind = + TemporalMentionKind::from_u8(self.kind).ok_or(MemvidError::InvalidTemporalTrack { + reason: "unknown mention kind".into(), + })?; + Ok(TemporalMention::new( + self.ts_utc, + self.frame_id, + self.byte_start, + self.byte_len, + kind, + self.confidence, + self.tz_hint_minutes, + TemporalMentionFlags(self.flags), + )) + } +} + +#[derive(Debug, Clone, Copy)] +struct RawAnchor { + frame_id: u64, + anchor_ts: i64, + source: u8, + reserved: [u8; 7], +} + +impl RawAnchor { + fn from_high_level(anchor: &TemporalAnchor) -> Self { + Self { + frame_id: anchor.frame_id, + anchor_ts: anchor.anchor_ts, + source: anchor.source as u8, + reserved: [0u8; 7], + } + } + + fn encode(self) -> [u8; ANCHOR_RECORD_SIZE] { + let mut out = [0u8; ANCHOR_RECORD_SIZE]; + out[0..8].copy_from_slice(&self.frame_id.to_le_bytes()); + out[8..16].copy_from_slice(&self.anchor_ts.to_le_bytes()); + out[16] = self.source; + out[17..24].copy_from_slice(&self.reserved); + out + } + + fn decode(bytes: &[u8]) -> Result { + let frame_id = u64::from_le_bytes(bytes[0..8].try_into().unwrap()); + let anchor_ts = i64::from_le_bytes(bytes[8..16].try_into().unwrap()); + let source = bytes[16]; + let mut reserved = [0u8; 7]; + reserved.copy_from_slice(&bytes[17..24]); + Ok(Self { + frame_id, + anchor_ts, + source, + reserved, + }) + } + + fn into_high_level(self) -> Result { + let source = match self.source { + 0 => AnchorSource::Explicit, + 1 => AnchorSource::FrameTimestamp, + 2 => AnchorSource::Metadata, + 3 => AnchorSource::IngestionClock, + _ => { + return Err(MemvidError::InvalidTemporalTrack { + reason: "unknown anchor source".into(), + }); + } + }; + Ok(TemporalAnchor::new(self.frame_id, self.anchor_ts, source)) + } +} + +fn write_header( + writer: &mut W, + entry_count: u64, + anchor_count: u64, + flags: u16, +) -> Result<(u64, [u8; HEADER_SIZE])> { + let offset = writer.seek(SeekFrom::Current(0))?; + let mut header = [0u8; HEADER_SIZE]; + header[0..4].copy_from_slice(&TEMPORAL_TRACK_MAGIC); + header[4..6].copy_from_slice(&TEMPORAL_TRACK_VERSION.to_le_bytes()); + header[6..8].copy_from_slice(&flags.to_le_bytes()); + header[8..16].copy_from_slice(&entry_count.to_le_bytes()); + header[16..24].copy_from_slice(&anchor_count.to_le_bytes()); + // checksum stays zero until finalisation + writer.write_all(&header)?; + Ok((offset, header)) +} + +fn patch_checksum( + writer: &mut W, + header_offset: u64, + checksum: &[u8; 32], + restore_pos: u64, +) -> Result<()> { + writer.seek(SeekFrom::Start(header_offset + CHECKSUM_OFFSET as u64))?; + writer.write_all(checksum)?; + writer.seek(SeekFrom::Start(restore_pos))?; + Ok(()) +} + +/// Serialises the provided mentions + anchors into the temporal track region. +pub fn append_track( + writer: &mut W, + mentions: &mut [TemporalMention], + anchors: &mut [TemporalAnchor], + flags: u32, +) -> Result<(u64, u64, [u8; 32])> { + #[cfg(test)] + println!( + "append_track: mentions={}, anchors={}, flags={}", + mentions.len(), + anchors.len(), + flags + ); + mentions.sort_by(mention_cmp); + anchors.sort_by_key(|anchor| anchor.frame_id); + validate_mentions_sorted(mentions)?; + validate_anchors_sorted(anchors)?; + + let entry_count = mentions.len() as u64; + let anchor_count = anchors.len() as u64; + let header_flags = flags as u16; + + let (header_offset, mut header) = + write_header(writer, entry_count, anchor_count, header_flags)?; + header[CHECKSUM_OFFSET..CHECKSUM_OFFSET + 32].fill(0); + + let mut hasher = Hasher::new(); + hasher.update(&header); + + for mention in mentions.iter().map(RawMention::from_high_level) { + let encoded = mention.encode(); + writer.write_all(&encoded)?; + hasher.update(&encoded); + } + + for anchor in anchors.iter().map(RawAnchor::from_high_level) { + let encoded = anchor.encode(); + writer.write_all(&encoded)?; + hasher.update(&encoded); + } + + let checksum = *hasher.finalize().as_bytes(); + let end = writer.seek(SeekFrom::Current(0))?; + patch_checksum(writer, header_offset, &checksum, end)?; + + Ok((header_offset, end - header_offset, checksum)) +} + +/// Reads and validates a temporal track from disk. +pub fn read_track( + reader: &mut R, + offset: u64, + length: u64, +) -> Result { + if length > MAX_TEMPORAL_TRACK_BYTES { + return Err(MemvidError::InvalidTemporalTrack { + reason: "length exceeds supported limit".into(), + }); + } + + if length < HEADER_SIZE as u64 { + return Err(MemvidError::InvalidTemporalTrack { + reason: "length shorter than header".into(), + }); + } + + reader.seek(SeekFrom::Start(offset))?; + let mut header = [0u8; HEADER_SIZE]; + reader.read_exact(&mut header)?; + + if header[0..4] != TEMPORAL_TRACK_MAGIC { + return Err(MemvidError::InvalidTemporalTrack { + reason: "magic mismatch".into(), + }); + } + + let version = u16::from_le_bytes(header[4..6].try_into().unwrap()); + if version > TEMPORAL_TRACK_VERSION { + return Err(MemvidError::InvalidTemporalTrack { + reason: "unsupported track version".into(), + }); + } + + let flags = u16::from_le_bytes(header[6..8].try_into().unwrap()) as u32; + let entry_count = u64::from_le_bytes(header[8..16].try_into().unwrap()); + let anchor_count = u64::from_le_bytes(header[16..24].try_into().unwrap()); + let checksum: [u8; 32] = header[CHECKSUM_OFFSET..CHECKSUM_OFFSET + 32] + .try_into() + .unwrap(); + + let expected_entries_bytes = entry_count.checked_mul(MENTION_RECORD_SIZE as u64).ok_or( + MemvidError::InvalidTemporalTrack { + reason: "entry count overflow".into(), + }, + )?; + let expected_anchor_bytes = anchor_count.checked_mul(ANCHOR_RECORD_SIZE as u64).ok_or( + MemvidError::InvalidTemporalTrack { + reason: "anchor count overflow".into(), + }, + )?; + + let total_expected = HEADER_SIZE as u64 + expected_entries_bytes + expected_anchor_bytes; + if total_expected != length { + return Err(MemvidError::InvalidTemporalTrack { + reason: "length does not match declared counts".into(), + }); + } + + // Safe: length validated against MAX_TEMPORAL_TRACK_BYTES (16 GiB) on line 247 + // and HEADER_SIZE is constant, so result fits in usize + let mut body = vec![0u8; (length - HEADER_SIZE as u64) as usize]; + reader.read_exact(&mut body)?; + + let mut header_for_hash = header; + header_for_hash[CHECKSUM_OFFSET..CHECKSUM_OFFSET + 32].fill(0); + let mut hasher = Hasher::new(); + hasher.update(&header_for_hash); + hasher.update(&body); + let computed = *hasher.finalize().as_bytes(); + if computed != checksum { + return Err(MemvidError::InvalidTemporalTrack { + reason: "checksum mismatch".into(), + }); + } + + // Safe: counts validated by checked_mul and total_expected == length check above + let mut mentions = Vec::with_capacity(entry_count as usize); + let mut anchors = Vec::with_capacity(anchor_count as usize); + + // Safe: validated by checked_mul overflow check on line 283 + let mentions_bytes = expected_entries_bytes as usize; + for chunk in body[..mentions_bytes].chunks_exact(MENTION_RECORD_SIZE) { + let raw = RawMention::decode(chunk)?; + mentions.push(raw.into_high_level()?); + } + + for chunk in body[mentions_bytes..].chunks_exact(ANCHOR_RECORD_SIZE) { + let raw = RawAnchor::decode(chunk)?; + anchors.push(raw.into_high_level()?); + } + + validate_mentions_sorted(&mentions)?; + validate_anchors_sorted(&anchors)?; + + Ok(TemporalTrack { + mentions, + anchors, + flags, + }) +} + +/// Computes the deterministic checksum used for manifest verification. +pub fn calculate_checksum( + mentions: &[TemporalMention], + anchors: &[TemporalAnchor], + flags: u32, +) -> [u8; 32] { + let mut sorted_mentions = mentions.to_vec(); + sorted_mentions.sort_by(mention_cmp); + let mut sorted_anchors = anchors.to_vec(); + sorted_anchors.sort_by_key(|anchor| anchor.frame_id); + + let mut header = [0u8; HEADER_SIZE]; + header[0..4].copy_from_slice(&TEMPORAL_TRACK_MAGIC); + header[4..6].copy_from_slice(&TEMPORAL_TRACK_VERSION.to_le_bytes()); + header[6..8].copy_from_slice(&(flags as u16).to_le_bytes()); + header[8..16].copy_from_slice(&(sorted_mentions.len() as u64).to_le_bytes()); + header[16..24].copy_from_slice(&(sorted_anchors.len() as u64).to_le_bytes()); + + let mut hasher = Hasher::new(); + hasher.update(&header); + + for mention in sorted_mentions.iter().map(RawMention::from_high_level) { + hasher.update(&mention.encode()); + } + + for anchor in sorted_anchors.iter().map(RawAnchor::from_high_level) { + hasher.update(&anchor.encode()); + } + + *hasher.finalize().as_bytes() +} + +/// Returns mention indices within `[start_utc, end_utc]` (inclusive). +#[must_use] +pub fn window(mentions: &[TemporalMention], start_utc: i64, end_utc: i64) -> Range { + if mentions.is_empty() || start_utc > end_utc { + return 0..0; + } + + let lower = mentions.partition_point(|mention| mention.ts_utc < start_utc); + let upper = mentions.partition_point(|mention| mention.ts_utc <= end_utc); + lower..upper +} + +fn mention_cmp(a: &TemporalMention, b: &TemporalMention) -> Ordering { + a.ts_utc + .cmp(&b.ts_utc) + .then_with(|| a.frame_id.cmp(&b.frame_id)) + .then_with(|| a.byte_start.cmp(&b.byte_start)) +} + +fn validate_mentions_sorted(mentions: &[TemporalMention]) -> Result<()> { + if mentions + .windows(2) + .any(|pair| mention_cmp(&pair[0], &pair[1]) == Ordering::Greater) + { + return Err(MemvidError::InvalidTemporalTrack { + reason: "mentions not sorted".into(), + }); + } + Ok(()) +} + +fn validate_anchors_sorted(anchors: &[TemporalAnchor]) -> Result<()> { + if anchors + .windows(2) + .any(|pair| pair[0].frame_id >= pair[1].frame_id) + { + return Err(MemvidError::InvalidTemporalTrack { + reason: "anchors not strictly increasing".into(), + }); + } + Ok(()) +} + +#[cfg(test)] +mod tests { + use super::*; + use tempfile::tempfile; + + #[test] + fn append_and_read_roundtrip() { + let mut mentions = vec![ + TemporalMention::new( + 10, + 1, + 0, + 5, + TemporalMentionKind::Date, + 900, + 0, + TemporalMentionFlags::empty(), + ), + TemporalMention::new( + 20, + 1, + 6, + 4, + TemporalMentionKind::DateTime, + 800, + 60, + TemporalMentionFlags::empty(), + ), + TemporalMention::new( + 20, + 2, + 0, + 3, + TemporalMentionKind::RangeStart, + 750, + 0, + TemporalMentionFlags(TemporalMentionFlags::HAS_RANGE), + ), + ]; + let mut anchors = vec![ + TemporalAnchor::new(1, 100, AnchorSource::FrameTimestamp), + TemporalAnchor::new(3, 200, AnchorSource::Metadata), + ]; + + let mut file = tempfile().expect("temp"); + let (offset, length, checksum) = + append_track(&mut file, &mut mentions, &mut anchors, 0).expect("append track"); + + let track = read_track(&mut file, offset, length).expect("read track"); + assert_eq!(track.mentions.len(), 3); + assert_eq!(track.anchors.len(), 2); + assert_eq!(track.flags, 0); + + let expected_checksum = calculate_checksum(&track.mentions, &track.anchors, track.flags); + assert_eq!(checksum, expected_checksum); + } + + #[test] + fn window_filters_correctly() { + let mentions = vec![ + TemporalMention::new( + 10, + 1, + 0, + 1, + TemporalMentionKind::Date, + 1000, + 0, + TemporalMentionFlags::empty(), + ), + TemporalMention::new( + 12, + 1, + 0, + 1, + TemporalMentionKind::Date, + 1000, + 0, + TemporalMentionFlags::empty(), + ), + TemporalMention::new( + 15, + 1, + 0, + 1, + TemporalMentionKind::Date, + 1000, + 0, + TemporalMentionFlags::empty(), + ), + ]; + assert_eq!(window(&mentions, 9, 11), 0..1); + assert_eq!(window(&mentions, 10, 15), 0..3); + assert_eq!(window(&mentions, 16, 20), 3..3); + } + + #[test] + fn reject_unsorted_mentions() { + let mentions = vec![ + TemporalMention::new( + 15, + 1, + 0, + 1, + TemporalMentionKind::Date, + 1000, + 0, + TemporalMentionFlags::empty(), + ), + TemporalMention::new( + 10, + 1, + 0, + 1, + TemporalMentionKind::Date, + 1000, + 0, + TemporalMentionFlags::empty(), + ), + ]; + assert!(matches!( + validate_mentions_sorted(&mentions), + Err(MemvidError::InvalidTemporalTrack { .. }) + )); + } + + #[test] + fn reject_unsorted_anchors() { + let anchors = vec![ + TemporalAnchor::new(2, 100, AnchorSource::FrameTimestamp), + TemporalAnchor::new(2, 110, AnchorSource::Metadata), + ]; + assert!(matches!( + validate_anchors_sorted(&anchors), + Err(MemvidError::InvalidTemporalTrack { .. }) + )); + } +} diff --git a/src/io/time_index.rs b/src/io/time_index.rs new file mode 100644 index 0000000..ee9be57 --- /dev/null +++ b/src/io/time_index.rs @@ -0,0 +1,205 @@ +use std::io::{Read, Seek, SeekFrom, Write}; + +use blake3::Hasher; + +use crate::{ + constants::TIME_INDEX_MAGIC, + error::{MemvidError, Result}, +}; + +/// Raw entry used to build the time index track. +#[derive(Debug, Clone, Copy, PartialEq, Eq)] +pub struct TimeIndexEntry { + pub timestamp: i64, + pub frame_id: u64, +} + +impl TimeIndexEntry { + #[must_use] + pub fn new(timestamp: i64, frame_id: u64) -> Self { + Self { + timestamp, + frame_id, + } + } +} + +/// Appends entries to the time index track, returning `(offset, length, checksum)`. +/// Entries are sorted by `(timestamp, frame_id)` prior to writing. +pub fn append_track( + writer: &mut W, + entries: &mut [TimeIndexEntry], +) -> Result<(u64, u64, [u8; 32])> { + entries.sort_by_key(|entry| (entry.timestamp, entry.frame_id)); + + let offset = writer.stream_position()?; + let mut hasher = Hasher::new(); + + writer.write_all(&TIME_INDEX_MAGIC)?; + hasher.update(&TIME_INDEX_MAGIC); + + let count = entries.len() as u64; + let count_bytes = count.to_le_bytes(); + writer.write_all(&count_bytes)?; + hasher.update(&count_bytes); + + for entry in entries.iter() { + let ts_bytes = entry.timestamp.to_le_bytes(); + let id_bytes = entry.frame_id.to_le_bytes(); + writer.write_all(&ts_bytes)?; + writer.write_all(&id_bytes)?; + hasher.update(&ts_bytes); + hasher.update(&id_bytes); + } + + let end = writer.stream_position()?; + let length = end - offset; + Ok((offset, length, *hasher.finalize().as_bytes())) +} + +/// Reads the time index entries located at `(offset, length)` and validates ordering. +pub fn read_track( + reader: &mut R, + offset: u64, + length: u64, +) -> Result> { + reader.seek(SeekFrom::Start(offset))?; + + let mut magic = [0u8; 4]; + reader.read_exact(&mut magic)?; + if magic != TIME_INDEX_MAGIC { + return Err(MemvidError::InvalidTimeIndex { + reason: "magic mismatch".into(), + }); + } + + let mut count_buf = [0u8; 8]; + reader.read_exact(&mut count_buf)?; + let count = u64::from_le_bytes(count_buf); + + let header_len = 4u64 + 8; + if length < header_len { + return Err(MemvidError::InvalidTimeIndex { + reason: "length shorter than header".into(), + }); + } + let payload_bytes = length - header_len; + let expected_payload = count + .checked_mul((std::mem::size_of::() + std::mem::size_of::()) as u64) + .ok_or(MemvidError::InvalidTimeIndex { + reason: "entry count overflow".into(), + })?; + if payload_bytes != expected_payload { + return Err(MemvidError::InvalidTimeIndex { + reason: "length does not match declared count".into(), + }); + } + + // Safe: count validated by checked_mul and payload_bytes comparison above + #[allow(clippy::cast_possible_truncation)] + let mut entries = Vec::with_capacity(count as usize); + let mut prev: Option = None; + for _ in 0..count { + let mut ts_buf = [0u8; 8]; + reader.read_exact(&mut ts_buf)?; + let timestamp = i64::from_le_bytes(ts_buf); + + let mut id_buf = [0u8; 8]; + reader.read_exact(&mut id_buf)?; + let frame_id = u64::from_le_bytes(id_buf); + + let entry = TimeIndexEntry { + timestamp, + frame_id, + }; + if let Some(prev_entry) = prev { + if entry.timestamp < prev_entry.timestamp + || (entry.timestamp == prev_entry.timestamp && entry.frame_id < prev_entry.frame_id) + { + return Err(MemvidError::InvalidTimeIndex { + reason: "entries not sorted".into(), + }); + } + } + prev = Some(entry); + entries.push(entry); + } + + Ok(entries) +} + +/// Calculates the checksum for the provided entries in canonical order. +#[must_use] +pub fn calculate_checksum(entries: &[TimeIndexEntry]) -> [u8; 32] { + let mut sorted = entries.to_vec(); + sorted.sort_by_key(|entry| (entry.timestamp, entry.frame_id)); + + let mut hasher = Hasher::new(); + hasher.update(&TIME_INDEX_MAGIC); + hasher.update(&(sorted.len() as u64).to_le_bytes()); + for entry in &sorted { + hasher.update(&entry.timestamp.to_le_bytes()); + hasher.update(&entry.frame_id.to_le_bytes()); + } + *hasher.finalize().as_bytes() +} + +#[cfg(test)] +mod tests { + use super::*; + use std::io::{Seek, SeekFrom, Write}; + use tempfile::tempfile; + + #[test] + fn append_and_read_roundtrip() { + let mut file = tempfile().expect("temp file"); + let mut entries = vec![ + TimeIndexEntry::new(30, 2), + TimeIndexEntry::new(10, 0), + TimeIndexEntry::new(20, 1), + ]; + + let (offset, length, checksum) = + append_track(&mut file, &mut entries).expect("append track"); + assert_eq!(entries[0].timestamp, 10); // sorted in place + let read_entries = read_track(&mut file, offset, length).expect("read track"); + assert_eq!(read_entries.len(), 3); + assert!( + read_entries + .windows(2) + .all(|w| w[0].timestamp <= w[1].timestamp) + ); + + let expected_checksum = calculate_checksum(&read_entries); + assert_eq!(checksum, expected_checksum); + } + + #[test] + fn read_rejects_unsorted_entries() { + let mut file = tempfile().expect("temp file"); + // Craft an invalid track where entries descend. + file.write_all(&TIME_INDEX_MAGIC).unwrap(); + file.write_all(&(2u64).to_le_bytes()).unwrap(); + file.write_all(&50i64.to_le_bytes()).unwrap(); + file.write_all(&5u64.to_le_bytes()).unwrap(); + file.write_all(&40i64.to_le_bytes()).unwrap(); + file.write_all(&4u64.to_le_bytes()).unwrap(); + + let length = file.seek(SeekFrom::End(0)).unwrap(); + file.seek(SeekFrom::Start(0)).unwrap(); + let err = read_track(&mut file, 0, length).expect_err("unsorted entries must fail"); + matches!(err, MemvidError::InvalidTimeIndex { .. }); + } + + #[test] + fn calculate_checksum_is_deterministic() { + let entries = vec![ + TimeIndexEntry::new(5, 10), + TimeIndexEntry::new(1, 2), + TimeIndexEntry::new(5, 9), + ]; + let checksum_a = calculate_checksum(&entries); + let checksum_b = calculate_checksum(&entries); + assert_eq!(checksum_a, checksum_b); + } +} diff --git a/src/io/wal.rs b/src/io/wal.rs new file mode 100644 index 0000000..66a0425 --- /dev/null +++ b/src/io/wal.rs @@ -0,0 +1,517 @@ +use std::fs::File; +use std::io::{Read, Seek, SeekFrom, Write}; + +use crate::{ + constants::{WAL_CHECKPOINT_PERIOD, WAL_CHECKPOINT_THRESHOLD}, + error::{MemvidError, Result}, + types::Header, +}; + +// Each WAL record header: [seq: u64][len: u32][reserved: 4 bytes][checksum: 32 bytes] +const ENTRY_HEADER_SIZE: usize = 48; + +#[derive(Debug, Clone, Copy, PartialEq)] +pub struct WalStats { + pub region_size: u64, + pub pending_bytes: u64, + pub appends_since_checkpoint: u64, + pub sequence: u64, +} + +#[derive(Debug, Clone, PartialEq, Eq)] +pub struct WalRecord { + pub sequence: u64, + pub payload: Vec, +} + +#[derive(Debug)] +pub struct EmbeddedWal { + file: File, + region_offset: u64, + region_size: u64, + write_head: u64, + checkpoint_head: u64, + pending_bytes: u64, + sequence: u64, + checkpoint_sequence: u64, + appends_since_checkpoint: u64, + read_only: bool, + skip_sync: bool, +} + +impl EmbeddedWal { + pub fn open(file: &File, header: &Header) -> Result { + Self::open_internal(file, header, false) + } + + pub fn open_read_only(file: &File, header: &Header) -> Result { + Self::open_internal(file, header, true) + } + + fn open_internal(file: &File, header: &Header, read_only: bool) -> Result { + if header.wal_size == 0 { + return Err(MemvidError::InvalidHeader { + reason: "wal_size must be non-zero".into(), + }); + } + let mut clone = file.try_clone()?; + let region_offset = header.wal_offset; + let region_size = header.wal_size; + let checkpoint_sequence = header.wal_sequence; + + let (entries, next_head) = Self::scan_records(&mut clone, region_offset, region_size)?; + + let pending_bytes = entries + .iter() + .filter(|entry| entry.sequence > checkpoint_sequence) + .map(|entry| entry.total_size) + .sum(); + let sequence = entries + .last() + .map_or(checkpoint_sequence, |entry| entry.sequence); + + let mut wal = Self { + file: clone, + region_offset, + region_size, + write_head: next_head % region_size, + checkpoint_head: header.wal_checkpoint_pos % region_size, + pending_bytes, + sequence, + checkpoint_sequence, + appends_since_checkpoint: 0, + read_only, + skip_sync: false, + }; + + if !wal.read_only { + wal.initialise_sentinel()?; + } + Ok(wal) + } + + fn assert_writable(&self) -> Result<()> { + if self.read_only { + return Err(MemvidError::Lock( + "wal is read-only; reopen memory with write access".into(), + )); + } + Ok(()) + } + + pub fn append_entry(&mut self, payload: &[u8]) -> Result { + self.assert_writable()?; + let payload_len = payload.len(); + if payload_len > u32::MAX as usize { + return Err(MemvidError::CheckpointFailed { + reason: "WAL payload too large".into(), + }); + } + + let entry_size = ENTRY_HEADER_SIZE as u64 + payload_len as u64; + if entry_size > self.region_size { + return Err(MemvidError::CheckpointFailed { + reason: "embedded WAL region too small for entry".into(), + }); + } + if self.pending_bytes + entry_size > self.region_size { + return Err(MemvidError::CheckpointFailed { + reason: "embedded WAL region full".into(), + }); + } + + // Check if we need to wrap around + let wrapping = self.write_head + entry_size > self.region_size; + if wrapping { + // If wrapping would overwrite uncommitted data, return "WAL full" error + // instead of silently overwriting. This triggers WAL growth. + // The checkpoint_head marks where committed data starts - if we wrap and would + // write over any pending (uncommitted) data, we must grow the WAL instead. + if self.pending_bytes > 0 { + return Err(MemvidError::CheckpointFailed { + reason: "embedded WAL region full".into(), + }); + } + self.write_head = 0; + } + + let next_sequence = self.sequence + 1; + tracing::debug!( + wal.write_head = self.write_head, + wal.sequence = next_sequence, + wal.payload_len = payload_len, + "wal append entry" + ); + self.write_record(self.write_head, next_sequence, payload)?; + + self.write_head = (self.write_head + entry_size) % self.region_size; + self.pending_bytes += entry_size; + self.sequence = self.sequence.wrapping_add(1); + self.appends_since_checkpoint = self.appends_since_checkpoint.saturating_add(1); + + self.maybe_write_sentinel()?; + + Ok(self.sequence) + } + + #[must_use] + pub fn should_checkpoint(&self) -> bool { + if self.read_only || self.region_size == 0 { + return false; + } + let occupancy = self.pending_bytes as f64 / self.region_size as f64; + occupancy >= WAL_CHECKPOINT_THRESHOLD + || self.appends_since_checkpoint >= WAL_CHECKPOINT_PERIOD + } + + pub fn record_checkpoint(&mut self, header: &mut Header) -> Result<()> { + self.assert_writable()?; + self.checkpoint_head = self.write_head; + self.pending_bytes = 0; + self.appends_since_checkpoint = 0; + self.checkpoint_sequence = self.sequence; + header.wal_checkpoint_pos = self.checkpoint_head; + header.wal_sequence = self.checkpoint_sequence; + self.maybe_write_sentinel() + } + + pub fn pending_records(&mut self) -> Result> { + self.records_after(self.checkpoint_sequence) + } + + pub fn records_after(&mut self, sequence: u64) -> Result> { + let (entries, next_head) = + Self::scan_records(&mut self.file, self.region_offset, self.region_size)?; + + self.sequence = entries.last().map_or(self.sequence, |entry| entry.sequence); + self.pending_bytes = entries + .iter() + .filter(|entry| entry.sequence > self.checkpoint_sequence) + .map(|entry| entry.total_size) + .sum(); + self.write_head = next_head % self.region_size; + if !self.read_only { + self.initialise_sentinel()?; + } + + Ok(entries + .into_iter() + .filter(|entry| entry.sequence > sequence) + .map(|entry| WalRecord { + sequence: entry.sequence, + payload: entry.payload, + }) + .collect()) + } + + #[must_use] + pub fn stats(&self) -> WalStats { + WalStats { + region_size: self.region_size, + pending_bytes: self.pending_bytes, + appends_since_checkpoint: self.appends_since_checkpoint, + sequence: self.sequence, + } + } + + #[must_use] + pub fn region_offset(&self) -> u64 { + self.region_offset + } + + #[must_use] + pub fn file(&self) -> &File { + &self.file + } + + /// Enable or disable per-entry fsync. + /// + /// When `skip` is `true`, `write_record()` will not call `sync_all()` after + /// each WAL append. The caller **must** call [`flush()`](Self::flush) after + /// the batch to ensure durability. + pub fn set_skip_sync(&mut self, skip: bool) { + self.skip_sync = skip; + } + + /// Force an `fsync` on the underlying WAL file. + /// + /// Call this after a batch of appends performed with `skip_sync = true` + /// to ensure all data is durable on disk. + pub fn flush(&mut self) -> Result<()> { + self.file.sync_all().map_err(Into::into) + } + + fn initialise_sentinel(&mut self) -> Result<()> { + self.maybe_write_sentinel() + } + + fn write_record(&mut self, position: u64, sequence: u64, payload: &[u8]) -> Result<()> { + self.assert_writable()?; + let digest = blake3::hash(payload); + let mut header = [0u8; ENTRY_HEADER_SIZE]; + header[..8].copy_from_slice(&sequence.to_le_bytes()); + header[8..12] + .copy_from_slice(&(u32::try_from(payload.len()).unwrap_or(u32::MAX)).to_le_bytes()); + header[16..48].copy_from_slice(digest.as_bytes()); + + // Atomic write: combine header and payload into single buffer + // This prevents corruption if the file is closed mid-write + let mut combined = Vec::with_capacity(ENTRY_HEADER_SIZE + payload.len()); + combined.extend_from_slice(&header); + combined.extend_from_slice(payload); + + self.seek_and_write(position, &combined)?; + if tracing::enabled!(tracing::Level::DEBUG) { + if let Err(err) = self.debug_verify_header(position, sequence, payload.len()) { + tracing::warn!(error = %err, "wal header verify failed"); + } + } + + // Force fsync to ensure data is durable before returning + // Critical for preventing corruption during rapid file operations + // In batch mode (skip_sync=true), fsync is deferred to flush() for performance + if !self.skip_sync { + self.file.sync_all()?; + } + + Ok(()) + } + + fn write_zero_header(&mut self, position: u64) -> Result { + self.assert_writable()?; + if self.region_size == 0 { + return Ok(0); + } + let mut pos = position % self.region_size; + let remaining = self.region_size - pos; + if remaining < ENTRY_HEADER_SIZE as u64 { + if remaining > 0 { + // Safe: remaining < ENTRY_HEADER_SIZE (48) so always fits in usize + #[allow(clippy::cast_possible_truncation)] + let zero_tail = vec![0u8; remaining as usize]; + self.seek_and_write(pos, &zero_tail)?; + } + pos = 0; + } + let zero = [0u8; ENTRY_HEADER_SIZE]; + self.seek_and_write(pos, &zero)?; + Ok(pos) + } + + fn seek_and_write(&mut self, position: u64, bytes: &[u8]) -> Result<()> { + self.assert_writable()?; + let pos = position % self.region_size; + let absolute = self.region_offset + pos; + self.file.seek(SeekFrom::Start(absolute))?; + self.file.write_all(bytes)?; + Ok(()) + } + + fn maybe_write_sentinel(&mut self) -> Result<()> { + if self.read_only || self.region_size == 0 { + return Ok(()); + } + if self.pending_bytes >= self.region_size { + return Ok(()); + } + // Sentinel marks end of valid entries - always keep write_head in sync + let next = self.write_zero_header(self.write_head)?; + self.write_head = next; + Ok(()) + } + + fn scan_records(file: &mut File, offset: u64, size: u64) -> Result<(Vec, u64)> { + let mut records = Vec::new(); + let mut cursor = 0u64; + while cursor + ENTRY_HEADER_SIZE as u64 <= size { + file.seek(SeekFrom::Start(offset + cursor))?; + let mut header = [0u8; ENTRY_HEADER_SIZE]; + file.read_exact(&mut header)?; + + let sequence = u64::from_le_bytes(header[..8].try_into().map_err(|_| { + MemvidError::WalCorruption { + offset: cursor, + reason: "invalid wal sequence header".into(), + } + })?); + let length = u64::from(u32::from_le_bytes(header[8..12].try_into().map_err( + |_| MemvidError::WalCorruption { + offset: cursor, + reason: "invalid wal length header".into(), + }, + )?)); + let checksum = &header[16..48]; + + if sequence == 0 && length == 0 { + break; + } + if length == 0 || cursor + ENTRY_HEADER_SIZE as u64 + length > size { + tracing::error!( + wal.scan_offset = cursor, + wal.sequence = sequence, + wal.length = length, + wal.region_size = size, + "wal record length invalid" + ); + return Err(MemvidError::WalCorruption { + offset: cursor, + reason: "wal record length invalid".into(), + }); + } + + // Safe: length comes from u32::from_le_bytes above, so max is u32::MAX + // which fits in usize on all supported platforms (32-bit and 64-bit) + let length_usize = usize::try_from(length).map_err(|_| MemvidError::WalCorruption { + offset: cursor, + reason: "wal record length too large for platform".into(), + })?; + let mut payload = vec![0u8; length_usize]; + file.read_exact(&mut payload)?; + let expected = blake3::hash(&payload); + if expected.as_bytes() != checksum { + return Err(MemvidError::WalCorruption { + offset: cursor, + reason: "wal record checksum mismatch".into(), + }); + } + + records.push(ScannedRecord { + sequence, + payload, + total_size: ENTRY_HEADER_SIZE as u64 + length, + }); + + cursor += ENTRY_HEADER_SIZE as u64 + length; + } + + Ok((records, cursor)) + } +} + +#[derive(Debug)] +struct ScannedRecord { + sequence: u64, + payload: Vec, + total_size: u64, +} + +impl EmbeddedWal { + fn debug_verify_header( + &mut self, + position: u64, + expected_sequence: u64, + expected_len: usize, + ) -> Result<()> { + if self.region_size == 0 { + return Ok(()); + } + let pos = position % self.region_size; + let absolute = self.region_offset + pos; + let mut buf = [0u8; ENTRY_HEADER_SIZE]; + self.file.seek(SeekFrom::Start(absolute))?; + self.file.read_exact(&mut buf)?; + + // Safe byte extraction - return early if malformed (debug function) + let seq = buf + .get(..8) + .and_then(|s| <[u8; 8]>::try_from(s).ok()) + .map_or(0, u64::from_le_bytes); + let len = buf + .get(8..12) + .and_then(|s| <[u8; 4]>::try_from(s).ok()) + .map_or(0, u32::from_le_bytes); + + tracing::debug!( + wal.verify_position = pos, + wal.verify_sequence = seq, + wal.expected_sequence = expected_sequence, + wal.verify_length = len, + wal.expected_length = expected_len, + "wal header verify" + ); + Ok(()) + } +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::constants::WAL_OFFSET; + use std::io::{Seek, SeekFrom, Write}; + use tempfile::tempfile; + + fn header_for(size: u64) -> Header { + Header { + magic: *b"MV2\0", + version: 0x0201, + footer_offset: 0, + wal_offset: WAL_OFFSET, + wal_size: size, + wal_checkpoint_pos: 0, + wal_sequence: 0, + toc_checksum: [0u8; 32], + } + } + + fn prepare_wal(size: u64) -> (File, Header) { + let file = tempfile().expect("temp file"); + file.set_len(WAL_OFFSET + size).expect("set_len"); + let header = header_for(size); + (file, header) + } + + #[test] + fn append_and_recover() { + let (file, header) = prepare_wal(1024); + let mut wal = EmbeddedWal::open(&file, &header).expect("open wal"); + + wal.append_entry(b"first").expect("append first"); + wal.append_entry(b"second").expect("append second"); + + let records = wal.records_after(0).expect("records"); + assert_eq!(records.len(), 2); + assert_eq!(records[0].payload, b"first"); + assert_eq!(records[0].sequence, 1); + assert_eq!(records[1].payload, b"second"); + assert_eq!(records[1].sequence, 2); + } + + #[test] + fn wrap_and_checkpoint() { + let size = (ENTRY_HEADER_SIZE as u64 * 2) + 64; + let (file, mut header) = prepare_wal(size); + let mut wal = EmbeddedWal::open(&file, &header).expect("open wal"); + + wal.append_entry(&[0xAA; 32]).expect("append a"); + wal.append_entry(&[0xBB; 32]).expect("append b"); + wal.record_checkpoint(&mut header).expect("checkpoint"); + + assert!(wal.pending_records().expect("pending").is_empty()); + + wal.append_entry(&[0xCC; 32]).expect("append c"); + let records = wal.pending_records().expect("after append"); + assert_eq!(records.len(), 1); + assert_eq!(records[0].payload, vec![0xCC; 32]); + } + + #[test] + fn corrupted_record_reports_offset() { + let (mut file, header) = prepare_wal(64); + // Write a record header that claims an impossible length so scan_records trips. + file.seek(SeekFrom::Start(header.wal_offset)).expect("seek"); + let mut record = [0u8; ENTRY_HEADER_SIZE]; + record[..8].copy_from_slice(&1u64.to_le_bytes()); // sequence + record[8..12].copy_from_slice(&(u32::MAX).to_le_bytes()); // absurd length + file.write_all(&record).expect("write corrupt header"); + file.sync_all().expect("sync"); + + let err = EmbeddedWal::open(&file, &header).expect_err("open should fail"); + match err { + MemvidError::WalCorruption { offset, reason } => { + assert_eq!(offset, 0); + assert!(reason.contains("length"), "reason should mention length"); + } + other => panic!("unexpected error: {other:?}"), + } + } +} diff --git a/src/lex.rs b/src/lex.rs new file mode 100644 index 0000000..548031b --- /dev/null +++ b/src/lex.rs @@ -0,0 +1,828 @@ +use std::{ + cmp::Ordering, + collections::{BTreeMap, HashMap}, +}; + +use blake3::hash; +use serde::{Deserialize, Serialize}; + +use crate::{MemvidError, Result, types::FrameId}; + +// Bincode configuration reused for deterministic layout. +fn lex_config() -> impl bincode::config::Config { + bincode::config::standard() + .with_fixed_int_encoding() + .with_little_endian() +} + +#[allow(clippy::cast_possible_truncation)] +const LEX_DECODE_LIMIT: usize = crate::MAX_INDEX_BYTES as usize; +const LEX_SECTION_SOFT_CHARS: usize = 900; +const LEX_SECTION_HARD_CHARS: usize = 1400; +const LEX_SECTION_MAX_COUNT: usize = 2048; + +/// Intermediate builder that collects documents prior to serialisation. +#[derive(Default)] +pub struct LexIndexBuilder { + documents: Vec, +} + +impl LexIndexBuilder { + #[must_use] + pub fn new() -> Self { + Self::default() + } + + pub fn add_document( + &mut self, + frame_id: FrameId, + uri: &str, + title: Option<&str>, + content: &str, + tags: &HashMap, + ) { + let tokens = tokenize(content); + // Convert HashMap to BTreeMap for deterministic serialization + let tags: BTreeMap<_, _> = tags.iter().map(|(k, v)| (k.clone(), v.clone())).collect(); + let mut sections = chunk_sections(content); + + let (content_owned, content_lower) = if content.is_empty() { + (String::new(), String::new()) + } else if sections.is_empty() { + let owned = content.to_string(); + let lower = owned.to_ascii_lowercase(); + sections.push(LexSection { + offset: 0, + content: owned.clone(), + content_lower: lower.clone(), + }); + (owned, lower) + } else { + (String::new(), String::new()) + }; + self.documents.push(LexDocument { + frame_id, + tokens, + tags, + content: content_owned, + content_lower, + uri: Some(uri.to_string()), + title: title.map(ToString::to_string), + sections, + }); + } + + pub fn finish(mut self) -> Result { + for document in &mut self.documents { + document.ensure_sections(); + } + let bytes = bincode::serde::encode_to_vec(&self.documents, lex_config())?; + let checksum = *hash(&bytes).as_bytes(); + Ok(LexIndexArtifact { + bytes, + doc_count: self.documents.len() as u64, + checksum, + }) + } +} + +/// Serialized lexical index artifact ready to be embedded in the `.mv2` file. +#[derive(Debug, Clone)] +pub struct LexIndexArtifact { + pub bytes: Vec, + pub doc_count: u64, + pub checksum: [u8; 32], +} + +/// Read-only lexical index decoded from persisted bytes. +#[derive(Debug, Clone)] +pub struct LexIndex { + documents: Vec, +} + +impl LexIndex { + pub fn decode(bytes: &[u8]) -> Result { + let new_config = bincode::config::standard() + .with_fixed_int_encoding() + .with_little_endian() + .with_limit::(); + if let Ok((documents, read)) = + bincode::serde::decode_from_slice::, _>(bytes, new_config) + { + if read == bytes.len() { + return Ok(Self::from_documents(documents)); + } + } + + let legacy_fixed = bincode::config::standard() + .with_fixed_int_encoding() + .with_little_endian() + .with_limit::(); + if let Ok((legacy_docs, read)) = + bincode::serde::decode_from_slice::, _>(bytes, legacy_fixed) + { + if read == bytes.len() { + let documents = legacy_docs.into_iter().map(legacy_to_current).collect(); + return Ok(Self::from_documents(documents)); + } + } + + let legacy_config = bincode::config::standard() + .with_little_endian() + .with_limit::(); + if let Ok((legacy_docs, read)) = + bincode::serde::decode_from_slice::, _>(bytes, legacy_config) + { + if read == bytes.len() { + let documents = legacy_docs.into_iter().map(legacy_to_current).collect(); + return Ok(Self::from_documents(documents)); + } + } + + Err(MemvidError::InvalidToc { + reason: "unsupported lex index encoding".into(), + }) + } + + fn from_documents(mut documents: Vec) -> Self { + for document in &mut documents { + document.ensure_sections(); + } + Self { documents } + } + + #[must_use] + pub fn search(&self, query: &str, limit: usize) -> Vec { + let mut query_tokens = tokenize(query); + query_tokens.retain(|token| !token.is_empty()); + if query_tokens.is_empty() { + return Vec::new(); + } + let mut matches = self.compute_matches(&query_tokens, None, None); + matches.truncate(limit); + matches + .into_iter() + .map(|m| { + let snippets = build_snippets(&m.content, &m.occurrences, 160, 3); + LexSearchHit { + frame_id: m.frame_id, + score: m.score, + match_count: m.occurrences.len(), + snippets, + } + }) + .collect() + } + + pub(crate) fn documents_mut(&mut self) -> &mut [LexDocument] { + &mut self.documents + } + + pub(crate) fn remove_document(&mut self, frame_id: FrameId) { + self.documents.retain(|doc| doc.frame_id != frame_id); + } + + pub(crate) fn compute_matches( + &self, + query_tokens: &[String], + uri_filter: Option<&str>, + scope_filter: Option<&str>, + ) -> Vec { + if query_tokens.is_empty() { + return Vec::new(); + } + + let mut hits = Vec::new(); + let phrase = query_tokens.join(" "); + for document in &self.documents { + if let Some(uri) = uri_filter { + if !uri_matches(document.uri.as_deref(), uri) { + continue; + } + } else if let Some(scope) = scope_filter { + match document.uri.as_deref() { + Some(candidate) if candidate.starts_with(scope) => {} + _ => continue, + } + } + + if document.sections.is_empty() { + continue; + } + + for section in &document.sections { + let haystack = section.content_lower.as_str(); + if haystack.is_empty() { + continue; + } + + let mut occurrences: Vec<(usize, usize)> = Vec::new(); + + if query_tokens.len() == 1 { + let needle = &query_tokens[0]; + if needle.is_empty() { + continue; + } + let mut start = 0usize; + while let Some(idx) = haystack[start..].find(needle) { + let local_start = start + idx; + let local_end = local_start + needle.len(); + occurrences.push((local_start, local_end)); + start = local_end; + } + } else { + let mut all_occurrences = Vec::new(); + let mut all_present = true; + for needle in query_tokens { + if needle.is_empty() { + all_present = false; + break; + } + let mut start = 0usize; + let mut found_for_token = false; + while let Some(idx) = haystack[start..].find(needle) { + found_for_token = true; + let local_start = start + idx; + let local_end = local_start + needle.len(); + all_occurrences.push((local_start, local_end)); + start = local_end; + } + if !found_for_token { + all_present = false; + break; + } + } + if !all_present { + continue; + } + occurrences = all_occurrences; + } + + if occurrences.is_empty() { + continue; + } + + occurrences.sort_by_key(|(start, _)| *start); + #[allow(clippy::cast_precision_loss)] + let mut score = occurrences.len() as f32; + if !phrase.is_empty() && section.content_lower.contains(&phrase) { + score += 1000.0; + } + hits.push(LexMatch { + frame_id: document.frame_id, + score, + occurrences, + content: section.content.clone(), + uri: document.uri.clone(), + title: document.title.clone(), + chunk_offset: section.offset, + }); + } + } + + hits.sort_by(|a, b| b.score.partial_cmp(&a.score).unwrap_or(Ordering::Equal)); + + // Deduplicate by frame_id, keeping the highest-scoring match for each frame. + // This prevents the same document from appearing multiple times when it has + // multiple sections that match the query. + let mut seen_frames: std::collections::HashSet = std::collections::HashSet::new(); + let mut deduped = Vec::with_capacity(hits.len()); + for hit in hits { + if seen_frames.insert(hit.frame_id) { + deduped.push(hit); + } + } + deduped + } +} + +fn uri_matches(candidate: Option<&str>, expected: &str) -> bool { + let Some(uri) = candidate else { + return false; + }; + if expected.contains('#') { + uri.eq_ignore_ascii_case(expected) + } else { + let expected_lower = expected.to_ascii_lowercase(); + let candidate_lower = uri.to_ascii_lowercase(); + candidate_lower.starts_with(&expected_lower) + } +} + +#[derive(Debug, Clone, Serialize, Deserialize)] +pub(crate) struct LexDocument { + pub(crate) frame_id: FrameId, + tokens: Vec, + tags: BTreeMap, + #[serde(default)] + content: String, + #[serde(default)] + pub(crate) content_lower: String, + #[serde(default)] + pub(crate) uri: Option, + #[serde(default)] + pub(crate) title: Option, + #[serde(default)] + sections: Vec, +} + +#[derive(Debug, Clone, Serialize, Deserialize)] +pub(crate) struct LexSection { + pub(crate) offset: usize, + #[serde(default)] + pub(crate) content: String, + #[serde(default)] + pub(crate) content_lower: String, +} + +#[derive(Debug, Clone, Serialize, Deserialize)] +struct LegacyLexDocument { + frame_id: FrameId, + tokens: Vec, + tags: BTreeMap, + #[serde(default)] + content: Option, + #[serde(default)] + uri: Option, + #[serde(default)] + title: Option, +} + +impl LexDocument { + fn ensure_sections(&mut self) { + if !self.sections.is_empty() { + return; + } + + if self.content.is_empty() { + return; + } + + if self.content_lower.is_empty() { + self.content_lower = self.content.to_ascii_lowercase(); + } + + self.sections.push(LexSection { + offset: 0, + content: self.content.clone(), + content_lower: self.content_lower.clone(), + }); + } +} + +fn legacy_to_current(legacy: LegacyLexDocument) -> LexDocument { + let content = legacy.content.unwrap_or_default(); + let content_lower = content.to_ascii_lowercase(); + let sections = if content.is_empty() { + Vec::new() + } else { + vec![LexSection { + offset: 0, + content: content.clone(), + content_lower: content_lower.clone(), + }] + }; + LexDocument { + frame_id: legacy.frame_id, + tokens: legacy.tokens, + tags: legacy.tags, + content, + content_lower, + uri: legacy.uri, + title: legacy.title, + sections, + } +} + +#[derive(Debug, Clone)] +pub struct LexSearchHit { + pub frame_id: FrameId, + pub score: f32, + pub match_count: usize, + pub snippets: Vec, +} + +#[derive(Debug, Clone)] +pub(crate) struct LexMatch { + pub frame_id: FrameId, + pub score: f32, + pub occurrences: Vec<(usize, usize)>, + pub content: String, + pub uri: Option, + pub title: Option, + pub chunk_offset: usize, +} + +fn tokenize(input: &str) -> Vec { + input + .split(|c: char| !is_token_char(c)) + .filter_map(|token| { + if token.chars().any(char::is_alphanumeric) { + Some(token.to_lowercase()) + } else { + None + } + }) + .collect() +} + +fn is_token_char(ch: char) -> bool { + ch.is_alphanumeric() || matches!(ch, '&' | '@' | '+' | '/' | '_') +} + +fn build_snippets( + content: &str, + occurrences: &[(usize, usize)], + window: usize, + max_snippets: usize, +) -> Vec { + compute_snippet_slices(content, occurrences, window, max_snippets) + .into_iter() + .map(|(start, end)| content[start..end].replace('\n', " ")) + .collect() +} + +fn chunk_sections(content: &str) -> Vec { + if content.is_empty() { + return Vec::new(); + } + + if content.len() <= LEX_SECTION_HARD_CHARS { + return vec![LexSection { + offset: 0, + content: content.to_string(), + content_lower: content.to_ascii_lowercase(), + }]; + } + + let mut sections: Vec = Vec::new(); + let mut chunk_start = 0usize; + let mut last_soft_break = None; + let mut iter = content.char_indices().peekable(); + + while let Some((idx, ch)) = iter.next() { + let char_end = idx + ch.len_utf8(); + let current_len = char_end.saturating_sub(chunk_start); + let next_char = iter.peek().map(|(_, next)| *next); + + if is_soft_boundary(ch, next_char) { + last_soft_break = Some(char_end); + if current_len < LEX_SECTION_SOFT_CHARS { + continue; + } + } + + if current_len < LEX_SECTION_HARD_CHARS { + continue; + } + + let mut split_at = last_soft_break.unwrap_or(char_end); + if split_at <= chunk_start { + split_at = char_end; + } + + push_section(&mut sections, content, chunk_start, split_at); + chunk_start = split_at; + last_soft_break = None; + + if sections.len() >= LEX_SECTION_MAX_COUNT { + break; + } + } + + if chunk_start < content.len() { + if sections.len() >= LEX_SECTION_MAX_COUNT { + if let Some(last) = sections.last_mut() { + let slice = &content[last.offset..]; + last.content = slice.to_string(); + last.content_lower = slice.to_ascii_lowercase(); + } + } else { + push_section(&mut sections, content, chunk_start, content.len()); + } + } + + if sections.is_empty() { + sections.push(LexSection { + offset: 0, + content: content.to_string(), + content_lower: content.to_ascii_lowercase(), + }); + } + + sections +} + +fn push_section(sections: &mut Vec, content: &str, start: usize, end: usize) { + if end <= start { + return; + } + + let slice = &content[start..end]; + sections.push(LexSection { + offset: start, + content: slice.to_string(), + content_lower: slice.to_ascii_lowercase(), + }); +} + +fn is_soft_boundary(ch: char, next: Option) -> bool { + match ch { + '.' | '!' | '?' => next.is_none_or(char::is_whitespace), + '\n' => true, + _ => false, + } +} + +pub(crate) fn compute_snippet_slices( + content: &str, + occurrences: &[(usize, usize)], + window: usize, + max_snippets: usize, +) -> Vec<(usize, usize)> { + if content.is_empty() { + return Vec::new(); + } + + if occurrences.is_empty() { + let end = advance_boundary(content, 0, window); + return vec![(0, end)]; + } + + let mut merged: Vec<(usize, usize)> = Vec::new(); + for &(start, end) in occurrences { + let mut snippet_start = start.saturating_sub(window / 2); + let mut snippet_end = (end + window / 2).min(content.len()); + + if let Some(adj) = sentence_start_before(content, snippet_start) { + snippet_start = adj; + } + if let Some(adj) = sentence_end_after(content, snippet_end) { + snippet_end = adj; + } + + snippet_start = prev_char_boundary(content, snippet_start); + snippet_end = next_char_boundary(content, snippet_end); + + if snippet_end <= snippet_start { + continue; + } + + if let Some(last) = merged.last_mut() { + if snippet_start <= last.1 + 20 { + last.1 = last.1.max(snippet_end); + continue; + } + } + + merged.push(( + snippet_start.min(content.len()), + snippet_end.min(content.len()), + )); + if merged.len() >= max_snippets { + break; + } + } + + if merged.is_empty() { + let end = advance_boundary(content, 0, window); + merged.push((0, end)); + } + + merged +} + +fn sentence_start_before(content: &str, idx: usize) -> Option { + if idx == 0 { + return Some(0); + } + let mut idx = idx.min(content.len()); + idx = prev_char_boundary(content, idx); + let mut candidate = None; + for (pos, ch) in content[..idx].char_indices() { + if matches!(ch, '.' | '!' | '?' | '\n') { + candidate = Some(pos + ch.len_utf8()); + } + } + candidate.map(|pos| { + let mut pos = next_char_boundary(content, pos); + while pos < content.len() && content.as_bytes()[pos].is_ascii_whitespace() { + pos += 1; + } + prev_char_boundary(content, pos) + }) +} + +fn sentence_end_after(content: &str, idx: usize) -> Option { + if idx >= content.len() { + return Some(content.len()); + } + let mut idx = idx; + idx = prev_char_boundary(content, idx); + for (offset, ch) in content[idx..].char_indices() { + let global = idx + offset; + if matches!(ch, '.' | '!' | '?') { + return Some(next_char_boundary(content, global + ch.len_utf8())); + } + if ch == '\n' { + return Some(global); + } + } + None +} + +fn prev_char_boundary(content: &str, mut idx: usize) -> usize { + if idx > content.len() { + idx = content.len(); + } + while idx > 0 && !content.is_char_boundary(idx) { + idx -= 1; + } + idx +} + +fn next_char_boundary(content: &str, mut idx: usize) -> usize { + if idx > content.len() { + idx = content.len(); + } + while idx < content.len() && !content.is_char_boundary(idx) { + idx += 1; + } + idx +} + +fn advance_boundary(content: &str, start: usize, mut window: usize) -> usize { + if start >= content.len() { + return content.len(); + } + let mut last = content.len(); + for (offset, _) in content[start..].char_indices() { + if window == 0 { + return start + offset; + } + last = start + offset; + window -= 1; + } + content.len().max(last) +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn builder_produces_artifact() { + let mut builder = LexIndexBuilder::new(); + let mut tags = HashMap::new(); + tags.insert("source".into(), "test".into()); + builder.add_document(0, "mv2://docs/one", Some("Doc One"), "hello world", &tags); + builder.add_document( + 1, + "mv2://docs/two", + Some("Doc Two"), + "rust systems", + &HashMap::new(), + ); + + let artifact = builder.finish().expect("finish"); + assert_eq!(artifact.doc_count, 2); + assert!(!artifact.bytes.is_empty()); + + let index = LexIndex::decode(&artifact.bytes).expect("decode"); + let hits = index.search("rust", 10); + assert_eq!(hits.len(), 1); + assert_eq!(hits[0].frame_id, 1); + assert!(hits[0].match_count >= 1); + assert!(!hits[0].snippets.is_empty()); + } + + #[test] + fn tokenizer_lowercases_and_filters() { + let tokens = tokenize("Hello, Rust-lang!"); + assert_eq!(tokens, vec!["hello", "rust", "lang"]); + } + + #[test] + fn tokenizer_retains_connector_characters() { + let tokens = tokenize("N&M EXPRESS LLC @ 2024"); + assert_eq!(tokens, vec!["n&m", "express", "llc", "2024"]); + } + + #[test] + fn compute_matches_deduplicates_by_frame_id() { + // Create a document with content long enough to be split into multiple sections. + // The section soft limit is 900 chars, hard limit is 1400 chars. + // We'll create content > 2000 chars with the search term appearing in each section. + let mut builder = LexIndexBuilder::new(); + + // Build content with "quantum" appearing in multiple sections + let section1 = "Quantum computing represents a revolutionary approach to computation. \ + The fundamental principles of quantum mechanics enable quantum computers to process \ + information in ways classical computers cannot. Quantum bits or qubits can exist in \ + superposition states, allowing quantum algorithms to explore multiple solutions \ + simultaneously. This quantum parallelism offers exponential speedups for certain \ + computational problems. Researchers continue to advance quantum hardware and software. \ + The field of quantum computing is rapidly evolving with new breakthroughs. \ + Major tech companies invest heavily in quantum research and development. \ + Quantum error correction remains a significant challenge for practical quantum computers."; + + let section2 = "Applications of quantum computing span many domains including cryptography, \ + drug discovery, and optimization problems. Quantum cryptography promises unbreakable \ + encryption through quantum key distribution protocols. In the pharmaceutical industry, \ + quantum simulations could revolutionize how we discover new medicines. Quantum \ + algorithms like Shor's algorithm threaten current encryption standards. Financial \ + institutions explore quantum computing for portfolio optimization. The quantum \ + advantage may soon be demonstrated for practical real-world applications. Quantum \ + machine learning combines quantum computing with artificial intelligence techniques. \ + The future of quantum computing holds immense promise for scientific discovery."; + + let full_content = format!("{} {}", section1, section2); + assert!( + full_content.len() > 1400, + "Content should be long enough to create multiple sections" + ); + + builder.add_document( + 42, // frame_id + "mv2://docs/quantum", + Some("Quantum Computing Overview"), + &full_content, + &HashMap::new(), + ); + + let artifact = builder.finish().expect("finish should succeed"); + let index = LexIndex::decode(&artifact.bytes).expect("decode should succeed"); + + // Search for "quantum" which appears many times across both sections + let query_tokens = tokenize("quantum"); + let matches = index.compute_matches(&query_tokens, None, None); + + // Verify: no duplicate frame_ids in results + let frame_ids: Vec<_> = matches.iter().map(|m| m.frame_id).collect(); + let unique_frame_ids: std::collections::HashSet<_> = frame_ids.iter().copied().collect(); + + assert_eq!( + frame_ids.len(), + unique_frame_ids.len(), + "Results should not contain duplicate frame_ids. Found: {:?}", + frame_ids + ); + + // Should have exactly one result for frame_id 42 + assert_eq!(matches.len(), 1, "Should have exactly one match"); + assert_eq!(matches[0].frame_id, 42, "Match should be for frame_id 42"); + assert!(matches[0].score > 0.0, "Match should have a positive score"); + } + + #[test] + fn compute_matches_keeps_highest_score_per_frame() { + // Test that when multiple sections match, we keep the highest-scoring one + let mut builder = LexIndexBuilder::new(); + + // Create content where "target" appears more times in the second section + let section1 = "This is the first section with one target mention. \ + It contains various other words to pad the content and make it long enough \ + to be split into multiple sections by the chunking algorithm. We need quite \ + a bit of text here to ensure the sections are created properly. The content \ + continues with more filler text about various topics. Keep writing to reach \ + the section boundary. More text follows to ensure we cross the soft limit. \ + This should be enough to trigger section creation at the boundary point."; + + let section2 = "The second section has target target target multiple times. \ + Target appears here repeatedly: target target target target. This section \ + should score higher because it has more occurrences of the search term target. \ + We mention target again to boost the score further. Target target target. \ + The abundance of target keywords makes this section rank higher in relevance."; + + let full_content = format!("{} {}", section1, section2); + + builder.add_document( + 99, + "mv2://docs/multi-section", + Some("Multi-Section Document"), + &full_content, + &HashMap::new(), + ); + + let artifact = builder.finish().expect("finish"); + let index = LexIndex::decode(&artifact.bytes).expect("decode"); + + let query_tokens = tokenize("target"); + let matches = index.compute_matches(&query_tokens, None, None); + + // Should have exactly one result (deduplicated) + assert_eq!( + matches.len(), + 1, + "Should have exactly one deduplicated match" + ); + + // The match should have the higher score (from section2 with more "target" occurrences) + // Section1 has 1 occurrence, Section2 has ~10+ occurrences + assert!( + matches[0].score >= 5.0, + "Should keep the highest-scoring match, score was: {}", + matches[0].score + ); + } +} diff --git a/src/lib.rs b/src/lib.rs new file mode 100644 index 0000000..cc90ea6 --- /dev/null +++ b/src/lib.rs @@ -0,0 +1,1409 @@ +#![deny(clippy::all, clippy::pedantic)] +#![cfg_attr(not(test), deny(clippy::unwrap_used, clippy::expect_used))] +#![cfg_attr( + test, + allow( + clippy::useless_vec, + clippy::uninlined_format_args, + clippy::cast_possible_truncation, + clippy::float_cmp, + clippy::cast_precision_loss + ) +)] +#![allow(clippy::module_name_repetitions)] +// +// Strategic lint exceptions - these are allowed project-wide for pragmatic reasons: +// +// Documentation lints: Many internal/self-documenting functions don't need extensive docs. +// Public APIs should still have proper documentation. +#![allow(clippy::missing_errors_doc)] +#![allow(clippy::missing_panics_doc)] +#![allow(clippy::doc_markdown)] +// +// Cast safety: All casts in this codebase are carefully reviewed and bounded by +// real-world constraints (file sizes, frame counts, etc). Using try_into() everywhere +// would add significant complexity without safety benefits in our use case. +#![allow(clippy::cast_precision_loss)] +#![allow(clippy::cast_possible_wrap)] +#![allow(clippy::cast_sign_loss)] +#![allow(clippy::cast_lossless)] +// +// Style/complexity: Some database-like operations naturally require complex functions. +// Breaking them up would hurt readability. +#![allow(clippy::too_many_lines)] +#![allow(clippy::too_many_arguments)] +#![allow(clippy::items_after_statements)] +#![allow(clippy::similar_names)] +// e.g., frame_id, parent_id, target_id are intentionally similar +// +// Pattern matching: These pedantic lints often suggest changes that reduce clarity. +#![allow(clippy::manual_let_else)] +#![allow(clippy::match_same_arms)] +#![allow(clippy::if_same_then_else)] +#![allow(clippy::collapsible_match)] +// +// Performance/ergonomics trade-offs that are acceptable for this codebase: +#![allow(clippy::needless_pass_by_value)] // Many builders take owned values intentionally +#![allow(clippy::return_self_not_must_use)] // Builder patterns don't need must_use on every method +#![allow(clippy::format_push_string)] // Readability over minor perf difference +#![allow(clippy::assigning_clones)] // clone_from() often less readable +// +// Low-value pedantic lints that add noise: +#![allow(clippy::struct_excessive_bools)] // Config structs naturally have many flags +#![allow(clippy::needless_continue)] +#![allow(clippy::needless_range_loop)] +#![allow(clippy::case_sensitive_file_extension_comparisons)] +#![allow(clippy::default_trait_access)] +#![allow(clippy::field_reassign_with_default)] +#![allow(clippy::unreadable_literal)] // Magic numbers in binary formats are clearer as hex +#![allow(clippy::implicit_hasher)] +#![allow(clippy::manual_clamp)] +#![allow(clippy::len_without_is_empty)] // Many index types don't need is_empty() +#![allow(clippy::large_enum_variant)] +#![allow(clippy::ptr_arg)] +#![allow(clippy::map_unwrap_or)] +#![allow(clippy::incompatible_msrv)] +#![allow(clippy::should_implement_trait)] // Some method names are clearer than trait names +#![allow(clippy::duplicated_attributes)] +// +// Return value wrapping: Many functions use Result for consistency even when they +// currently can't fail, allowing future error conditions to be added without breaking API. +#![allow(clippy::unnecessary_wraps)] +#![allow(clippy::unused_self)] // Some trait impls or future extensibility + +/// The memvid-core crate version (matches `Cargo.toml`). +pub const MEMVID_CORE_VERSION: &str = env!("CARGO_PKG_VERSION"); + +mod analysis; +pub mod constants; +pub mod enrich; +pub mod enrichment_worker; +pub mod error; +pub mod extract; +pub mod extract_budgeted; +pub mod footer; +pub mod io; +pub mod lex; +mod lock; +pub mod lockfile; +pub mod memvid; +pub mod models; +pub mod pii; +pub mod reader; +mod registry; +mod search; +pub mod signature; +pub mod structure; +pub mod table; +pub mod text; +mod toc; +pub mod types; +pub mod vec; +pub mod vec_pq; + +// SIMD-accelerated distance calculations +pub mod simd; + +#[cfg(feature = "vec")] +pub mod text_embed; + +// Triplet extraction module for automatic SPO extraction during ingestion +pub mod triplet; + +// Graph-aware search for hybrid retrieval +pub mod graph_search; + +// CLIP module is always compiled (for ClipIndexManifest serde compatibility) +// but ClipModel/inference requires the "clip" feature +pub mod clip; + +// Whisper module for audio transcription +// Model inference requires the "whisper" feature +pub mod whisper; + +// Replay module for time-travel debugging of agent sessions +// Types are always available for serde compatibility +// Full functionality requires the "replay" feature +pub mod replay; + +// Password-based encryption capsules (.mv2e) +// Feature-gated to avoid pulling crypto dependencies into default builds. +#[cfg(feature = "encryption")] +pub mod encryption; + +// SymSpell-based PDF text cleanup - fixes broken word spacing +#[cfg(feature = "symspell_cleanup")] +pub mod symspell_cleanup; + +// API-based embedding providers (OpenAI, etc.) - requires network +#[cfg(feature = "api_embed")] +pub mod api_embed; + +#[cfg(test)] +mod tests_lex_flag; + +#[cfg(feature = "temporal_track")] +pub use analysis::temporal::{ + TemporalContext, TemporalNormalizer, TemporalResolution, TemporalResolutionFlag, + TemporalResolutionValue, parse_clock_inheritance, parse_week_start, +}; +// Temporal enrichment for resolving relative time references during ingestion +#[cfg(feature = "temporal_enrich")] +pub use analysis::temporal_enrich::{ + AnchorSource as TemporalEnrichAnchorSource, RelativePhrase, ResolvedTemporal, + TemporalAnchorInfo, TemporalAnchorTracker, TemporalEnrichment, detect_relative_phrases, + enrich_chunk, enrich_chunks, enrich_document, resolve_relative_phrase, +}; +pub use constants::*; +pub use enrichment_worker::{EnrichmentWorkerConfig, EnrichmentWorkerStats}; +pub use error::{MemvidError, Result}; +pub use extract::{DocumentProcessor, ExtractedDocument, ProcessorConfig}; +pub use footer::{CommitFooter, find_last_valid_footer}; +#[cfg(feature = "temporal_track")] +pub use io::temporal_index::{ + append_track as temporal_track_append, calculate_checksum as temporal_track_checksum, + read_track as temporal_track_read, window as temporal_track_window, +}; +pub use io::time_index::{ + TimeIndexEntry, append_track as time_index_append, calculate_checksum as time_index_checksum, + read_track as time_index_read, +}; +pub use io::wal::{EmbeddedWal, WalRecord, WalStats}; +pub use lex::{LexIndex, LexIndexArtifact, LexIndexBuilder, LexSearchHit}; +pub use lock::FileLock; +pub use memvid::{ + BlobReader, EnrichmentHandle, EnrichmentStats, LockSettings, Memvid, OpenReadOptions, + SketchCandidate, SketchSearchOptions, SketchSearchStats, + mutation::{CommitMode, CommitOptions}, + start_enrichment_worker, start_enrichment_worker_with_embeddings, +}; +#[cfg(feature = "parallel_segments")] +pub use memvid::{BuildOpts, ParallelInput, ParallelPayload}; +pub use models::{ + ModelManifest, ModelManifestEntry, ModelVerification, ModelVerificationStatus, + ModelVerifyOptions, verify_model_dir, verify_models, +}; +pub use reader::{ + DetectedTable, DocumentFormat, DocumentReader, PassthroughReader, PdfReader, ReaderDiagnostics, + ReaderHint, ReaderOutput, ReaderRegistry, XlsxChunkingOptions, XlsxReader, +}; +pub use signature::{ + parse_ed25519_public_key_base64, verify_model_manifest, verify_ticket_signature, +}; +pub use text::{NormalizedText, normalize_text, truncate_at_grapheme_boundary}; +pub use types::{ + ACL_POLICY_VERSION_KEY, ACL_READ_GROUPS_KEY, ACL_READ_PRINCIPALS_KEY, ACL_READ_ROLES_KEY, + ACL_RESOURCE_ID_KEY, ACL_TENANT_ID_KEY, ACL_VISIBILITY_KEY, AclContext, AclEnforcementMode, + AskCitation, AskMode, AskRequest, AskResponse, AskRetriever, AskStats, AudioSegmentMetadata, + AuditOptions, AuditReport, CanonicalEncoding, DOCTOR_PLAN_VERSION, DocAudioMetadata, + DocExifMetadata, DocGpsMetadata, DocMetadata, DoctorActionDetail, DoctorActionKind, + DoctorActionPlan, DoctorActionReport, DoctorActionStatus, DoctorFinding, DoctorFindingCode, + DoctorMetrics, DoctorOptions, DoctorPhaseDuration, DoctorPhaseKind, DoctorPhasePlan, + DoctorPhaseReport, DoctorPhaseStatus, DoctorPlan, DoctorReport, DoctorSeverity, DoctorStatus, + EmbeddingIdentity, EmbeddingIdentityCount, EmbeddingIdentitySummary, Frame, FrameId, FrameRole, + FrameStatus, Header, IndexManifests, LexIndexManifest, LexSegmentDescriptor, + MEMVID_EMBEDDING_DIMENSION_KEY, MEMVID_EMBEDDING_MODEL_KEY, MEMVID_EMBEDDING_NORMALIZED_KEY, + MEMVID_EMBEDDING_PROVIDER_KEY, MediaManifest, MemvidHandle, Open, PutManyOpts, PutOptions, + PutOptionsBuilder, Sealed, SearchEngineKind, SearchHit, SearchHitMetadata, SearchParams, + SearchRequest, SearchResponse, SegmentCatalog, SegmentCommon, SegmentCompression, SegmentMeta, + SegmentSpan, SourceSpan, Stats, TextChunkManifest, TextChunkRange, Ticket, TicketRef, Tier, + TimeIndexManifest, TimeSegmentDescriptor, TimelineEntry, TimelineQuery, TimelineQueryBuilder, + Toc, VecEmbedder, VecIndexManifest, VecSegmentDescriptor, VectorCompression, VerificationCheck, + VerificationReport, VerificationStatus, +}; +#[cfg(feature = "temporal_track")] +pub use types::{ + AnchorSource, SearchHitTemporal, SearchHitTemporalAnchor, SearchHitTemporalMention, + TEMPORAL_TRACK_FLAG_HAS_ANCHORS, TEMPORAL_TRACK_FLAG_HAS_MENTIONS, TemporalAnchor, + TemporalCapabilities, TemporalFilter, TemporalMention, TemporalMentionFlags, + TemporalMentionKind, TemporalTrack, TemporalTrackManifest, +}; +// Memory card types for structured memory extraction and storage +pub use types::{ + EngineStamp, EnrichmentManifest, EnrichmentRecord, MEMORIES_TRACK_MAGIC, + MEMORIES_TRACK_VERSION, MemoriesStats, MemoriesTrack, MemoryCard, MemoryCardBuilder, + MemoryCardBuilderError, MemoryCardId, MemoryKind, Polarity, SlotIndex, VersionRelation, +}; +// Logic-Mesh types for entity-relationship graph traversal +pub use types::{ + EdgeDirection, EntityKind, FollowResult, LOGIC_MESH_MAGIC, LOGIC_MESH_VERSION, LinkType, + LogicMesh, LogicMeshManifest, MeshEdge, MeshNode, +}; +// Sketch track types for fast candidate generation +pub use types::{ + DEFAULT_HAMMING_THRESHOLD, QuerySketch, SKETCH_TRACK_MAGIC, SKETCH_TRACK_VERSION, SketchEntry, + SketchFlags, SketchTrack, SketchTrackHeader, SketchTrackManifest, SketchTrackStats, + SketchVariant, build_term_filter, compute_simhash, compute_token_weights, generate_sketch, + hash_token, hash_token_u32, read_sketch_track, term_filter_maybe_contains, tokenize_for_sketch, + write_sketch_track, +}; +// Schema types for predicate validation and type checking +pub use types::{ + Cardinality, PredicateId, PredicateSchema, SchemaError, SchemaRegistry, ValueType, +}; +// Schema inference summary type +pub use memvid::memory::SchemaSummaryEntry; +// NER types for entity extraction (always available, model requires logic_mesh feature) +#[cfg(feature = "logic_mesh")] +pub use analysis::ner::NerModel; +pub use analysis::ner::{ + ExtractedEntity, FrameEntities, NER_MODEL_NAME, NER_MODEL_SIZE_MB, NER_MODEL_URL, NER_MODELS, + NER_TOKENIZER_URL, NerModelInfo, default_ner_model_info, get_ner_model_info, + is_ner_model_installed, ner_model_path, ner_tokenizer_path, +}; +// Enrichment engine types for extracting memory cards from frames +pub use enrich::{EnrichmentContext, EnrichmentEngine, EnrichmentResult, RulesEngine}; +// Triplet extraction types for automatic SPO extraction +pub use triplet::{ExtractionMode, ExtractionStats, TripletExtractor}; +// Graph-aware search for hybrid retrieval +pub use graph_search::{GraphMatcher, QueryPlanner, hybrid_search}; +// Embedding provider types for vector embedding generation +pub use types::{ + BatchEmbeddingResult, EmbeddingConfig, EmbeddingProvider, EmbeddingProviderKind, + EmbeddingResult, +}; +// Reranker types for second-stage ranking in RAG pipelines +pub use types::reranker::{ + Reranker, RerankerConfig, RerankerDocument, RerankerKind, RerankerResult, +}; +#[cfg(feature = "parallel_segments")] +pub use types::{IndexSegmentRef, SegmentKind, SegmentStats}; +pub use vec::{VecIndex, VecIndexArtifact, VecSearchHit}; +pub use vec_pq::{ + CompressionStats, ProductQuantizer, QuantizedVecIndex, QuantizedVecIndexArtifact, + QuantizedVecIndexBuilder, +}; +// Local text embedding provider - feature-gated +#[cfg(feature = "vec")] +pub use text_embed::{ + LocalTextEmbedder, TEXT_EMBED_MODELS, TextEmbedConfig, TextEmbedModelInfo, + default_text_model_info, get_text_model_info, +}; +// API-based embedding providers - feature-gated +#[cfg(feature = "api_embed")] +pub use api_embed::{ + OPENAI_MODELS, OpenAIConfig, OpenAIEmbedder, OpenAIModelInfo, default_openai_model_info, + get_openai_model_info, +}; +// CLIP visual embeddings - types always available for serde compatibility +pub use clip::{ + CLIP_MODELS, ClipConfig, ClipDocument, ClipEmbeddingProvider, ClipError, ClipIndex, + ClipIndexArtifact, ClipIndexBuilder, ClipIndexManifest, ClipModelInfo, ClipSearchHit, + ImageInfo, MOBILECLIP_DIMS, SIGLIP_DIMS, default_model_info, filter_junk_images, + get_model_info, +}; +// CLIP model inference requires the "clip" feature +#[cfg(feature = "clip")] +pub use clip::{ClipModel, calculate_color_variance, get_image_info}; +// Whisper audio transcription - types always available +pub use whisper::{ + TranscriptionResult, TranscriptionSegment, WHISPER_MODELS, WhisperConfig, WhisperError, + WhisperModelInfo, default_whisper_model_info, get_whisper_model_info, +}; +// Audio decoding and transcription require the "whisper" feature +#[cfg(feature = "whisper")] +pub use whisper::{WHISPER_SAMPLE_RATE, WhisperTranscriber, decode_audio_file}; +// Structure-aware chunking for preserving tables and code blocks +pub use structure::{ + ChunkType, ChunkingOptions, ChunkingResult, StructuralChunker, StructuredChunk, + StructuredDocument, TableChunkingStrategy, chunk_structured, detect_structure, +}; +// Adaptive retrieval for dynamic result set sizing +pub use types::adaptive::{ + AdaptiveConfig, AdaptiveResult, AdaptiveStats, CutoffStrategy, find_adaptive_cutoff, + normalize_scores, +}; +// Replay types for time-travel debugging - always available for serde +pub use replay::{ + ActionType, Checkpoint, REPLAY_SEGMENT_MAGIC, REPLAY_SEGMENT_VERSION, ReplayAction, + ReplayManifest, ReplaySession, SessionSummary, StateSnapshot, +}; +// Full replay functionality requires the "replay" feature +#[cfg(feature = "replay")] +pub use replay::{ + ActiveSession, ComparisonReport, ComparisonSummary, Divergence, DivergenceType, ModelResult, + ReplayConfig, ReplayOptions, ReplayResult, +}; + +#[cfg(test)] +use once_cell::sync::Lazy; +use std::fs::File; +use std::io::Cursor; +use std::path::Path; +#[cfg(test)] +use std::sync::Mutex; + +use bincode::config::{self, Config}; +use io::header::HeaderCodec; + +const TIMELINE_PREVIEW_BYTES: usize = 120; +const MAX_INDEX_BYTES: u64 = 512 * 1024 * 1024; // Increased from 64MB to 512MB for large datasets +const MAX_TIME_INDEX_BYTES: u64 = 512 * 1024 * 1024; +const MAX_FRAME_BYTES: u64 = 256 * 1024 * 1024; +const DEFAULT_SEARCH_TEXT_LIMIT: usize = 32_768; + +#[cfg(test)] +#[allow(clippy::non_std_lazy_statics)] +static SERIAL_TEST_MUTEX: Lazy> = Lazy::new(|| Mutex::new(())); + +#[cfg(test)] +pub(crate) fn run_serial_test(f: impl FnOnce() -> T) -> T { + let _guard = SERIAL_TEST_MUTEX + .lock() + .expect("memvid-core serial test mutex poisoned"); + f() +} + +impl Memvid { + #[cfg(feature = "lex")] + fn tantivy_index_pending(&self) -> bool { + self.tantivy_dirty + } + + #[cfg(not(feature = "lex"))] + fn tantivy_index_pending(&self) -> bool { + false + } + + #[cfg(feature = "lex")] + fn flush_tantivy_conditional(&mut self, embed_snapshot: bool) -> Result<()> { + if !self.tantivy_dirty { + return Ok(()); + } + if let Some(engine) = self.tantivy.as_mut() { + engine.commit()?; + if embed_snapshot { + let snapshot = engine.snapshot_segments()?; + self.update_embedded_lex_snapshot(snapshot)?; + } + } + self.tantivy_dirty = false; + Ok(()) + } + + #[cfg(feature = "lex")] + fn flush_tantivy(&mut self) -> Result<()> { + self.flush_tantivy_conditional(true) + } + + #[cfg(feature = "lex")] + #[allow(dead_code)] + fn flush_tantivy_skip_embed(&mut self) -> Result<()> { + self.flush_tantivy_conditional(false) + } + + #[cfg(not(feature = "lex"))] + fn flush_tantivy(&mut self) -> Result<()> { + Ok(()) + } + + #[cfg(not(feature = "lex"))] + #[allow(dead_code)] + fn flush_tantivy_skip_embed(&mut self) -> Result<()> { + Ok(()) + } + #[must_use] + pub fn path(&self) -> &Path { + &self.path + } + + #[must_use] + pub fn lock_handle(&self) -> &FileLock { + &self.lock + } + + #[must_use] + pub fn is_read_only(&self) -> bool { + self.read_only + } + + pub(crate) fn ensure_writable(&mut self) -> Result<()> { + if self.read_only { + self.lock.upgrade_to_exclusive()?; + self.read_only = false; + } + Ok(()) + } + + pub fn downgrade_to_shared(&mut self) -> Result<()> { + if self.read_only { + return Ok(()); + } + if self.dirty || self.tantivy_index_pending() { + return Ok(()); + } + self.lock.downgrade_to_shared()?; + self.read_only = true; + Ok(()) + } +} + +impl Drop for Memvid { + fn drop(&mut self) { + if self.dirty { + let _ = self.commit(); + } + // Clean up temporary manifest.wal file (parallel_segments feature) + #[cfg(feature = "parallel_segments")] + { + use crate::memvid::lifecycle::cleanup_manifest_wal_public; + cleanup_manifest_wal_public(self.path()); + } + } +} + +pub(crate) fn persist_header(file: &mut File, header: &Header) -> Result<()> { + HeaderCodec::write(file, header) +} + +fn wal_config() -> impl Config { + config::standard() + .with_fixed_int_encoding() + .with_little_endian() +} + +pub(crate) fn decode_canonical_bytes( + payload: &[u8], + encoding: CanonicalEncoding, + frame_id: FrameId, +) -> Result> { + match encoding { + CanonicalEncoding::Plain => Ok(payload.to_vec()), + CanonicalEncoding::Zstd => { + zstd::decode_all(Cursor::new(payload)).map_err(|_| MemvidError::InvalidFrame { + frame_id, + reason: "failed to decode canonical payload", + }) + } + } +} + +pub(crate) fn default_uri(frame_id: FrameId) -> String { + format!("mv2://frames/{frame_id}") +} + +pub(crate) fn infer_title_from_uri(uri: &str) -> Option { + let trimmed = uri.trim(); + if trimmed.is_empty() { + return None; + } + + let without_scheme = trimmed.split_once("://").map_or(trimmed, |x| x.1); + let without_fragment = without_scheme.split('#').next().unwrap_or(without_scheme); + let without_query = without_fragment + .split('?') + .next() + .unwrap_or(without_fragment); + let segment = without_query + .trim_end_matches('/') + .rsplit('/') + .next() + .map(str::trim)?; + if segment.is_empty() { + return None; + } + + let stem = segment.rsplit_once('.').map_or(segment, |x| x.0).trim(); + if stem.is_empty() { + return None; + } + + let words: Vec = stem + .split(['-', '_', ' ']) + .filter(|part| !part.is_empty()) + .map(|part| { + let mut chars = part.chars(); + match chars.next() { + Some(first) => { + let first = first.to_ascii_uppercase(); + let rest: String = chars.map(|c| c.to_ascii_lowercase()).collect(); + if rest.is_empty() { + first.to_string() + } else { + format!("{first}{rest}") + } + } + None => String::new(), + } + }) + .filter(|word| !word.is_empty()) + .collect(); + + if words.is_empty() { + None + } else { + Some(words.join(" ")) + } +} + +fn truncate_preview(text: &str) -> String { + text.chars().take(TIMELINE_PREVIEW_BYTES).collect() +} + +fn image_preview_from_metadata(meta: &DocMetadata) -> Option { + let mime = meta.mime.as_deref()?; + if !mime.starts_with("image/") { + return None; + } + + if let Some(caption) = meta.caption.as_ref() { + let trimmed = caption.trim(); + if !trimmed.is_empty() { + return Some(truncate_preview(trimmed)); + } + } + + let mut segments: Vec = Vec::new(); + if let (Some(w), Some(h)) = (meta.width, meta.height) { + segments.push(format!("{w}×{h} px")); + } + if let Some(exif) = meta.exif.as_ref() { + if let Some(model) = exif + .model + .as_ref() + .map(|s| s.trim()) + .filter(|s| !s.is_empty()) + { + segments.push(model.to_string()); + } else if let Some(make) = exif + .make + .as_ref() + .map(|s| s.trim()) + .filter(|s| !s.is_empty()) + { + segments.push(make.to_string()); + } + + if let Some(datetime) = exif + .datetime + .as_ref() + .map(|s| s.trim()) + .filter(|s| !s.is_empty()) + { + segments.push(datetime.to_string()); + } + } + + if segments.is_empty() { + return Some("Image frame".to_string()); + } + + Some(truncate_preview(&segments.join(" · "))) +} + +#[cfg(test)] +mod tests { + use super::*; + use std::io::Read; + use std::num::NonZeroU64; + use tempfile::tempdir; + + #[test] + fn create_put_commit_reopen() { + run_serial_test(|| { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("memory.mv2"); + + let mut mem = Memvid::create(&path).expect("create"); + let seq = mem.put_bytes(b"hello").expect("put"); + assert_eq!(seq, 1); + mem.commit().expect("commit"); + + drop(mem); + + let mut reopened = Memvid::open(&path).expect("open"); + let stats = reopened.stats().expect("stats"); + assert_eq!(stats.frame_count, 1); + assert!(stats.has_time_index); + + let timeline = reopened + .timeline(TimelineQuery::default()) + .expect("timeline"); + assert_eq!(timeline.len(), 1); + assert!(timeline[0].preview.contains("hello")); + + let wal_stats = reopened.wal.stats(); + assert_eq!(wal_stats.pending_bytes, 0); + // Sequence is 2: one from create() writing manifests, one from put() + assert_eq!(wal_stats.sequence, 2); + }); + } + + #[test] + fn timeline_limit_and_reverse() { + run_serial_test(|| { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("timeline.mv2"); + + let mut mem = Memvid::create(&path).expect("create"); + mem.put_bytes(b"alpha").expect("put alpha"); + mem.put_bytes(b"beta").expect("put beta"); + mem.commit().expect("commit"); + drop(mem); + + let mut reopened = Memvid::open(&path).expect("open"); + let limited = reopened + .timeline(TimelineQuery { + limit: NonZeroU64::new(1), + since: None, + until: None, + reverse: false, + #[cfg(feature = "temporal_track")] + temporal: None, + }) + .expect("timeline limit"); + assert_eq!(limited.len(), 1); + assert!(limited[0].preview.contains("alpha")); + + let reversed = reopened + .timeline(TimelineQuery { + limit: NonZeroU64::new(1), + since: None, + until: None, + reverse: true, + #[cfg(feature = "temporal_track")] + temporal: None, + }) + .expect("timeline reverse"); + assert_eq!(reversed.len(), 1); + assert!(reversed[0].preview.contains("beta")); + }); + } + + #[test] + fn lex_search_roundtrip() { + run_serial_test(|| { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("lex.mv2"); + + let mut mem = Memvid::create(&path).expect("create"); + mem.enable_lex().expect("enable"); + let _seq1 = mem.put_bytes(b"Rust memory engine").expect("put"); + let _seq2 = mem.put_bytes(b"Deterministic WAL").expect("put2"); + mem.commit().expect("commit"); + + // Use modern search() API instead of deprecated search_lex() + let request = SearchRequest { + query: "memory".to_string(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: crate::types::AclEnforcementMode::Audit, + }; + let response = mem.search(request).expect("search"); + assert_eq!(response.hits.len(), 1); + + drop(mem); + + let mut reopened = Memvid::open(&path).expect("open"); + let request = SearchRequest { + query: "wal".to_string(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: crate::types::AclEnforcementMode::Audit, + }; + let response = reopened.search(request).expect("search reopened"); + assert_eq!(response.hits.len(), 1); + }); + } + + #[test] + fn vec_search_roundtrip() { + run_serial_test(|| { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("vec.mv2"); + + let mut mem = Memvid::create(&path).expect("create"); + mem.enable_vec().expect("enable"); + mem.put_with_embedding(b"vector", vec![0.0, 1.0]) + .expect("put"); + mem.put_with_embedding(b"vector-two", vec![1.0, 0.0]) + .expect("put2"); + mem.commit().expect("commit"); + + let stats = mem.stats().expect("stats"); + assert!(stats.has_vec_index, "vec index should exist after commit"); + + let hits = mem.search_vec(&[0.0, 1.0], 5).expect("search"); + assert_eq!(hits.first().map(|hit| hit.frame_id), Some(0)); + + drop(mem); + + let mut reopened = Memvid::open(&path).expect("open"); + let reopened_stats = reopened.stats().expect("stats reopen"); + assert!( + reopened_stats.has_vec_index, + "vec index should exist after reopen: has_manifest={}, vec_enabled={}", + reopened.toc.indexes.vec.is_some(), + reopened.vec_enabled + ); + let hits = reopened.search_vec(&[1.0, 0.0], 5).expect("search reopen"); + assert_eq!(hits.first().map(|hit| hit.frame_id), Some(1)); + }); + } + + #[test] + fn search_snippet_ranges_match_bytes() { + run_serial_test(|| { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("search.mv2"); + + let mut mem = Memvid::create(&path).expect("create"); + mem.enable_lex().expect("enable lex"); + let options = PutOptions::builder() + .uri("mv2://docs/pricing.md") + .title("Pricing") + .build(); + let text = "Capacity tickets are signed grants that raise per-file caps."; + mem.put_bytes_with_options(text.as_bytes(), options) + .expect("put doc"); + mem.commit().expect("commit"); + + let response = mem + .search(SearchRequest { + query: "capacity tickets".into(), + top_k: 5, + snippet_chars: 160, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: crate::types::AclEnforcementMode::Audit, + }) + .expect("search"); + + assert_eq!(response.total_hits, 1); + assert_eq!(response.engine, SearchEngineKind::Tantivy); + let hit = response.hits.first().expect("hit"); + let frame = mem + .toc + .frames + .get(hit.frame_id as usize) + .cloned() + .expect("frame"); + let canonical = mem.frame_content(&frame).expect("content"); + let bytes = canonical.as_bytes(); + let (start, end) = hit.range; + assert!(end <= bytes.len()); + assert_eq!(hit.text.as_bytes(), &bytes[start..end]); + let chunk = hit.chunk_range.expect("chunk range"); + assert!(chunk.0 <= start); + assert!(chunk.1 >= end); + let chunk_text = hit.chunk_text.as_ref().expect("chunk text"); + let chunk_slice = &canonical[chunk.0..chunk.1]; + assert_eq!(chunk_text, chunk_slice); + }); + } + + #[test] + fn search_chunk_range_reflects_chunk_offset() { + run_serial_test(|| { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("chunked.mv2"); + + let mut mem = Memvid::create(&path).expect("create"); + mem.enable_lex().expect("enable lex"); + + let options = PutOptions::builder() + .uri("mv2://docs/manual.txt") + .title("Manual") + .build(); + let prefix = "alpha beta gamma delta. ".repeat(200); + let content = format!( + "{}target segment appears here. Trailing context for verification.", + prefix + ); + mem.put_bytes_with_options(content.as_bytes(), options) + .expect("put doc"); + mem.commit().expect("commit"); + + let response = mem + .search(SearchRequest { + query: "target segment".into(), + top_k: 5, + snippet_chars: 160, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: crate::types::AclEnforcementMode::Audit, + }) + .expect("search"); + + let hit = response.hits.first().expect("hit"); + assert_eq!(response.engine, SearchEngineKind::Tantivy); + let chunk_range = hit.chunk_range.expect("chunk range"); + assert!(chunk_range.0 > 0); + assert!(hit.range.0 >= chunk_range.0); + assert!(hit.range.1 <= chunk_range.1); + assert!(hit.text.contains("target segment")); + let chunk_text = hit.chunk_text.as_ref().expect("chunk text"); + assert_eq!(chunk_text, &content[chunk_range.0..chunk_range.1]); + }); + } + + #[test] + fn auto_tag_populates_frame_metadata() { + run_serial_test(|| { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("autotag.mv2"); + + let mut mem = Memvid::create(&path).expect("create"); + mem.enable_lex().expect("enable lex"); + + let options = PutOptions::builder() + .search_text("Neural networks planning session 2024-10-08") + .auto_tag(true) + .extract_dates(true) + .build(); + mem.put_bytes_with_options(b"agenda", options) + .expect("put bytes"); + mem.commit().expect("commit"); + + let frame = mem.toc.frames.first().expect("frame present"); + assert!(!frame.tags.is_empty()); + assert!(frame.content_dates.iter().any(|date| date.contains("2024"))); + }); + } + + #[test] + fn search_filters_by_uri_and_scope() { + run_serial_test(|| { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("filters.mv2"); + + let mut mem = Memvid::create(&path).expect("create"); + mem.enable_lex().expect("enable lex"); + + let options_a = PutOptions::builder() + .uri("mv2://docs/pricing.md") + .title("Pricing") + .build(); + mem.put_bytes_with_options(b"Capacity tickets add per-file allowances", options_a) + .expect("put a"); + + let options_b = PutOptions::builder() + .uri("mv2://docs/faq.md") + .title("FAQ") + .build(); + mem.put_bytes_with_options(b"Tickets can be issued by admins", options_b) + .expect("put b"); + + let options_c = PutOptions::builder() + .uri("mv2://blog/launch.md") + .title("Launch") + .build(); + mem.put_bytes_with_options(b"Launch day tickets boost visibility", options_c) + .expect("put c"); + + mem.commit().expect("commit"); + + let uri_response = mem + .search(SearchRequest { + query: "tickets".into(), + top_k: 10, + snippet_chars: 120, + uri: Some("mv2://docs/pricing.md".into()), + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: crate::types::AclEnforcementMode::Audit, + }) + .expect("uri search"); + assert_eq!(uri_response.engine, SearchEngineKind::Tantivy); + assert!( + uri_response + .hits + .iter() + .all(|hit| hit.uri == "mv2://docs/pricing.md") + ); + + let scope_response = mem + .search(SearchRequest { + query: "tickets".into(), + top_k: 10, + snippet_chars: 120, + uri: None, + scope: Some("mv2://docs/".into()), + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: crate::types::AclEnforcementMode::Audit, + }) + .expect("scope search"); + assert_eq!(scope_response.engine, SearchEngineKind::Tantivy); + assert!( + scope_response + .hits + .iter() + .all(|hit| hit.uri.starts_with("mv2://docs/")) + ); + }); + } + + #[test] + fn search_pagination_and_params() { + run_serial_test(|| { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("paging.mv2"); + + let mut mem = Memvid::create(&path).expect("create"); + mem.enable_lex().expect("enable lex"); + + for (idx, text) in [ + "tickets unlock tier upgrades", + "tickets expire after 30 days", + "tickets may be revoked", + ] + .iter() + .enumerate() + { + let uri = format!("mv2://docs/doc{idx}.md"); + let options = PutOptions::builder() + .uri(&uri) + .title(format!("Doc {idx}")) + .build(); + mem.put_bytes_with_options(text.as_bytes(), options) + .expect("put doc"); + } + + mem.commit().expect("commit"); + + let first_page = mem + .search(SearchRequest { + query: "tickets".into(), + top_k: 1, + snippet_chars: 90, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: crate::types::AclEnforcementMode::Audit, + }) + .expect("page one"); + assert_eq!(first_page.engine, SearchEngineKind::Tantivy); + assert_eq!(first_page.hits.len(), 1); + assert_eq!(first_page.params.top_k, 1); + assert_eq!(first_page.params.snippet_chars, 90); + assert!(first_page.total_hits >= first_page.hits.len()); + let cursor = first_page.next_cursor.clone().expect("cursor"); + let first_id = first_page.hits[0].frame_id; + + let second_page = mem + .search(SearchRequest { + query: "tickets".into(), + top_k: 1, + snippet_chars: 90, + uri: None, + scope: None, + cursor: Some(cursor), + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: crate::types::AclEnforcementMode::Audit, + }) + .expect("page two"); + assert_eq!(second_page.engine, SearchEngineKind::Tantivy); + assert_eq!(second_page.hits.len(), 1); + assert_ne!(second_page.hits[0].frame_id, first_id); + assert_eq!(second_page.total_hits, first_page.total_hits); + }); + } + + #[cfg(feature = "lex")] + #[test] + fn search_falls_back_when_tantivy_missing() { + run_serial_test(|| { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("fallback.mv2"); + + let mut mem = Memvid::create(&path).expect("create"); + mem.enable_lex().expect("enable lex"); + mem.put_bytes(b"tickets fallback test").expect("put"); + mem.commit().expect("commit"); + + // This test verifies that Tantivy is the primary search engine + // The LexFallback path is deprecated, so we'll just verify Tantivy works + assert!( + mem.tantivy.is_some(), + "Tantivy should be initialized after commit" + ); + + let response = mem + .search(SearchRequest { + query: "tickets".into(), + top_k: 5, + snippet_chars: 120, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: crate::types::AclEnforcementMode::Audit, + }) + .expect("search with tantivy"); + + assert_eq!(response.engine, SearchEngineKind::Tantivy); + assert!(!response.hits.is_empty()); + }); + } + + #[test] + fn verify_reports_success() { + run_serial_test(|| { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("verify.mv2"); + + { + let mut mem = Memvid::create(&path).expect("create"); + mem.enable_lex().expect("enable lex"); + mem.enable_vec().expect("enable vec"); + mem.put_with_embedding(b"check", vec![0.5, 0.1]) + .expect("put"); + mem.commit().expect("commit"); + } + + let report = Memvid::verify(&path, true).expect("verify"); + assert_eq!(report.overall_status, VerificationStatus::Passed); + }); + } + + #[test] + fn test_create_enables_indexes_by_default() { + run_serial_test(|| { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("default_indexes.mv2"); + + // Create without any special flags + let mem = Memvid::create(&path).expect("create"); + + // Check stats immediately (before drop) + let stats = mem.stats().expect("stats"); + println!( + "After create (before drop): lex={}, vec={}", + stats.has_lex_index, stats.has_vec_index + ); + + drop(mem); + + // Reopen and check again + let reopened = Memvid::open(&path).expect("reopen"); + let stats2 = reopened.stats().expect("stats after reopen"); + println!( + "After reopen: lex={}, vec={}", + stats2.has_lex_index, stats2.has_vec_index + ); + + #[cfg(feature = "lex")] + assert!( + stats2.has_lex_index, + "lex index should be enabled by default" + ); + + #[cfg(feature = "vec")] + assert!( + stats2.has_vec_index, + "vec index should be enabled by default" + ); + }); + } + + #[test] + fn doctor_rebuilds_time_index() { + use std::fs::OpenOptions; + use std::io::{Seek, SeekFrom, Write}; + + run_serial_test(|| { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("doctor.mv2"); + + let manifest = { + let mut mem = Memvid::create(&path).expect("create"); + mem.put_bytes(b"repair").expect("put"); + mem.commit().expect("commit"); + // Explicitly rebuild indexes to create time_index (new implementation requires this) + mem.rebuild_indexes(&[], &[]).expect("rebuild"); + mem.commit().expect("commit after rebuild"); + println!( + "test: post-commit header footer_offset={}", + mem.header.footer_offset + ); + println!( + "test: post-commit manifest offset={} length={}", + mem.toc + .time_index + .as_ref() + .map(|m| m.bytes_offset) + .unwrap_or(0), + mem.toc + .time_index + .as_ref() + .map(|m| m.bytes_length) + .unwrap_or(0) + ); + mem.toc.time_index.clone().expect("time index manifest") + }; + + { + let mut file = OpenOptions::new() + .read(true) + .write(true) + .open(&path) + .expect("open file"); + file.seek(SeekFrom::Start(manifest.bytes_offset)) + .expect("seek"); + let zeros = vec![0u8; usize::try_from(manifest.bytes_length).unwrap_or(0)]; + file.write_all(&zeros).expect("corrupt time index"); + file.flush().expect("flush"); + file.sync_all().expect("sync"); + } + + println!( + "test: footer scan: {:?}", + crate::footer::find_last_valid_footer(&std::fs::read(&path).expect("read file")) + .as_ref() + .map(|s| (s.footer_offset, s.toc_offset, s.footer.toc_len)) + ); + println!("test: verifying corrupted memory"); + match Memvid::verify(&path, false) { + Ok(report) => { + assert_eq!(report.overall_status, VerificationStatus::Failed); + } + Err(e) => { + println!("test: verify failed with error (expected): {e}"); + } + } + + println!("test: running doctor"); + let report = Memvid::doctor( + &path, + DoctorOptions { + rebuild_time_index: true, + rebuild_lex_index: false, + ..DoctorOptions::default() + }, + ) + .expect("doctor"); + println!("test: doctor completed with status: {:?}", report.status); + // Doctor may report Failed due to strict verification, but the important thing + // is that it rebuilt the index and the file is usable + // assert!(matches!(report.status, DoctorStatus::Healed | DoctorStatus::Clean)); + + println!("test: verifying repaired memory"); + // Verify file is actually usable after doctor (even if status was Failed) + let reopened = Memvid::open(&path).expect("reopen after doctor"); + assert!( + reopened.toc.time_index.is_some(), + "time index should exist after doctor" + ); + }); + } + + #[test] + fn blob_reader_roundtrip_with_media_manifest() { + run_serial_test(|| { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("blob.mv2"); + let payload = vec![0u8, 159, 1, 128, 42, 99, 200]; + + let manifest = MediaManifest { + kind: "video".to_string(), + mime: "video/mp4".to_string(), + bytes: payload.len() as u64, + filename: Some("clip.mp4".to_string()), + duration_ms: Some(1234), + width: Some(1920), + height: Some(1080), + codec: Some("h264".to_string()), + }; + + let mut doc_meta = DocMetadata::default(); + doc_meta.media = Some(manifest.clone()); + doc_meta.mime = Some("video/mp4".to_string()); + doc_meta.bytes = Some(payload.len() as u64); + assert!( + !doc_meta.is_empty(), + "media manifest must count as metadata" + ); + + let options = PutOptions::builder() + .metadata(doc_meta) + .kind("video") + .uri("mv2://video/clip.mp4") + .build(); + + { + let mut mem = Memvid::create(&path).expect("create"); + mem.put_bytes_with_options(&payload, options) + .expect("put bytes"); + mem.commit().expect("commit"); + } + + let mut reopened = Memvid::open(&path).expect("open"); + let mut reader = reopened + .blob_reader_by_uri("mv2://video/clip.mp4") + .expect("blob reader"); + let mut buffered = Vec::new(); + reader.read_to_end(&mut buffered).expect("read payload"); + assert_eq!(buffered, payload); + + let roundtrip = reopened + .media_manifest_by_uri("mv2://video/clip.mp4") + .expect("manifest lookup") + .expect("manifest present"); + assert_eq!(roundtrip.mime, "video/mp4"); + assert_eq!(roundtrip.kind, "video"); + assert_eq!(roundtrip.bytes, payload.len() as u64); + assert_eq!(roundtrip.filename.as_deref(), Some("clip.mp4")); + assert_eq!(roundtrip.duration_ms, Some(1234)); + assert_eq!(roundtrip.width, Some(1920)); + assert_eq!(roundtrip.height, Some(1080)); + assert_eq!(roundtrip.codec.as_deref(), Some("h264")); + + drop(dir); + }); + } + + #[test] + fn video_frame_roundtrip_does_not_corrupt_toc() { + use crate::types::MediaManifest; + + run_serial_test(|| { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("video.mv2"); + let mut seed = 0xDEADBEEF_u64; + let mut video_bytes = vec![0u8; 1_600_000]; + for byte in &mut video_bytes { + seed = seed ^ (seed << 7); + seed = seed ^ (seed >> 9); + seed = seed ^ (seed << 8); + *byte = (seed & 0xFF) as u8; + } + + let hash_hex = blake3::hash(&video_bytes).to_hex().to_string(); + + let manifest = MediaManifest { + kind: "video".to_string(), + mime: "video/mp4".to_string(), + bytes: video_bytes.len() as u64, + filename: Some("clip.mp4".to_string()), + duration_ms: Some(1_000), + width: Some(1920), + height: Some(1080), + codec: Some("h264".to_string()), + }; + + let mut meta = DocMetadata::default(); + meta.mime = Some("video/mp4".to_string()); + meta.bytes = Some(video_bytes.len() as u64); + meta.hash = Some(hash_hex); + meta.caption = Some("Test clip".to_string()); + meta.media = Some(manifest); + + let options = PutOptions::builder() + .kind("video") + .metadata(meta) + .tag("kind", "video") + .uri("mv2://video/test.mp4") + .title("Test clip") + .build(); + + { + let mut mem = Memvid::create(&path).expect("create"); + mem.put_bytes_with_options(&video_bytes, options) + .expect("put video"); + mem.commit().expect("commit"); + } + + let reopened = Memvid::open(&path).expect("reopen"); + let stats = reopened.stats().expect("stats"); + assert_eq!(stats.frame_count, 1); + }); + } + + #[test] + #[allow(deprecated)] + fn ticket_sequence_enforced() { + run_serial_test(|| { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("ticket.mv2"); + + let mut mem = Memvid::create(&path).expect("create"); + mem.apply_ticket(Ticket::new("issuer", 2)) + .expect("apply first"); + + let err = mem + .apply_ticket(Ticket::new("issuer", 2)) + .expect_err("sequence must increase"); + assert!(matches!(err, MemvidError::TicketSequence { .. })); + }); + } + + #[test] + #[allow(deprecated)] + fn capacity_limit_enforced() { + run_serial_test(|| { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("capacity.mv2"); + + let mut mem = Memvid::create(&path).expect("create"); + let base = mem.data_end; + mem.apply_ticket(Ticket::new("issuer", 2).capacity_bytes(base + 64)) + .expect("apply ticket"); + + mem.put_bytes(&vec![0xFF; 32]).expect("first put"); + mem.commit().expect("commit"); + + let err = mem.put_bytes(&[0xFF; 40]).expect_err("capacity exceeded"); + assert!(matches!(err, MemvidError::CapacityExceeded { .. })); + }); + } +} diff --git a/src/lock.rs b/src/lock.rs new file mode 100644 index 0000000..8fa441d --- /dev/null +++ b/src/lock.rs @@ -0,0 +1,194 @@ +use std::fs::{File, OpenOptions}; +use std::path::Path; +use std::thread; +use std::time::Duration; + +use fs2::FileExt; + +use crate::error::{MemvidError, Result}; + +#[derive(Clone, Copy, Debug, PartialEq, Eq)] +pub enum LockMode { + None, + Shared, + Exclusive, +} + +/// File lock guard that can hold either a shared or exclusive OS lock. +pub struct FileLock { + file: File, + mode: LockMode, +} + +impl FileLock { + /// Opens a file at `path` with read/write permissions and acquires an exclusive lock. + pub fn open_and_lock(path: &Path) -> Result<(File, Self)> { + let file = OpenOptions::new().read(true).write(true).open(path)?; + let guard = Self::acquire_with_mode(&file, LockMode::Exclusive)?; + Ok((file, guard)) + } + + /// Opens a file at `path` with read/write permissions and acquires a shared lock. + pub fn open_read_only(path: &Path) -> Result<(File, Self)> { + let file = OpenOptions::new().read(true).write(true).open(path)?; + let guard = Self::acquire_with_mode(&file, LockMode::Shared)?; + Ok((file, guard)) + } + + /// Returns a non-locking guard for callers that only require a stable clone handle. + pub fn unlocked(file: &File) -> Result { + Ok(Self { + file: file.try_clone()?, + mode: LockMode::None, + }) + } + + /// Clones the provided file handle and locks it exclusively. + pub fn acquire(file: &File, _path: &Path) -> Result { + Self::acquire_with_mode(file, LockMode::Exclusive) + } + + /// Attempts a non-blocking exclusive lock, returning None if already locked. + pub fn try_acquire(_file: &File, path: &Path) -> Result> { + let clone = OpenOptions::new().read(true).write(true).open(path)?; + loop { + match clone.try_lock_exclusive() { + Ok(()) => { + return Ok(Some(Self { + file: clone, + mode: LockMode::Exclusive, + })); + } + Err(err) if err.kind() == std::io::ErrorKind::Interrupted => continue, + Err(err) if err.kind() == std::io::ErrorKind::WouldBlock => return Ok(None), + Err(err) => return Err(MemvidError::Lock(err.to_string())), + } + } + } + + /// Releases the underlying OS file lock. + pub fn unlock(&mut self) -> Result<()> { + if self.mode == LockMode::None { + return Ok(()); + } + self.file + .unlock() + .map_err(|err| MemvidError::Lock(err.to_string())) + } + + /// Exposes a clone of the locked handle for buffered operations. + pub fn clone_handle(&self) -> Result { + Ok(self.file.try_clone()?) + } + + #[must_use] + pub fn mode(&self) -> LockMode { + self.mode + } + + pub fn downgrade_to_shared(&mut self) -> Result<()> { + if self.mode == LockMode::None { + return Err(MemvidError::Lock( + "cannot downgrade an unlocked file handle".to_string(), + )); + } + if self.mode == LockMode::Shared { + return Ok(()); + } + self.file + .unlock() + .map_err(|err| MemvidError::Lock(err.to_string()))?; + Self::lock_with_retry(&self.file, LockMode::Shared)?; + self.mode = LockMode::Shared; + Ok(()) + } + + pub fn upgrade_to_exclusive(&mut self) -> Result<()> { + if self.mode == LockMode::None { + return Err(MemvidError::Lock( + "cannot upgrade an unlocked file handle".to_string(), + )); + } + if self.mode == LockMode::Exclusive { + return Ok(()); + } + self.file + .unlock() + .map_err(|err| MemvidError::Lock(err.to_string()))?; + Self::lock_with_retry(&self.file, LockMode::Exclusive)?; + self.mode = LockMode::Exclusive; + Ok(()) + } + + pub(crate) fn acquire_with_mode(file: &File, mode: LockMode) -> Result { + let clone = file.try_clone()?; + Self::lock_with_retry(&clone, mode)?; + Ok(Self { file: clone, mode }) + } + + fn lock_with_retry(file: &File, mode: LockMode) -> Result<()> { + const MAX_ATTEMPTS: u32 = 200; // ~10 seconds with 50ms backoff + const BACKOFF: Duration = Duration::from_millis(50); + let mut attempts = 0; + loop { + let result = match mode { + LockMode::None => return Ok(()), + LockMode::Exclusive => file.try_lock_exclusive(), + LockMode::Shared => FileExt::try_lock_shared(file), + }; + match result { + Ok(()) => return Ok(()), + Err(err) if err.kind() == std::io::ErrorKind::Interrupted => continue, + Err(err) if err.kind() == std::io::ErrorKind::WouldBlock => { + if attempts >= MAX_ATTEMPTS { + return Err(MemvidError::Lock( + "exclusive access unavailable; file is in use by another process" + .to_string(), + )); + } + attempts += 1; + thread::sleep(BACKOFF); + continue; + } + Err(err) => return Err(MemvidError::Lock(err.to_string())), + } + } + } +} + +impl Drop for FileLock { + fn drop(&mut self) { + if self.mode != LockMode::None { + let _ = self.file.unlock(); + } + } +} + +#[cfg(test)] +mod tests { + use super::*; + use std::io::Write; + use tempfile::NamedTempFile; + + #[test] + #[cfg(not(target_os = "windows"))] // Windows has different file locking semantics + fn acquiring_lock_blocks_second_writer() { + let temp = NamedTempFile::new().expect("temp file"); + let path = temp.path(); + writeln!(&mut temp.as_file().try_clone().unwrap(), "seed").unwrap(); + + let file = OpenOptions::new() + .read(true) + .write(true) + .open(path) + .expect("open file"); + let guard = FileLock::acquire(&file, path).expect("first lock succeeds"); + + let second = FileLock::try_acquire(&file, path).expect("second lock attempt"); + assert!(second.is_none(), "lock should already be held"); + + drop(guard); + let third = FileLock::try_acquire(&file, path).expect("third lock attempt"); + assert!(third.is_some(), "lock released after drop"); + } +} diff --git a/src/lockfile.rs b/src/lockfile.rs new file mode 100644 index 0000000..ba9fc4e --- /dev/null +++ b/src/lockfile.rs @@ -0,0 +1,213 @@ +use std::path::{Path, PathBuf}; +use std::thread; +use std::time::{Duration, Instant}; + +use fs_err::{self as fs, File, OpenOptions}; + +use crate::error::{LockOwnerHint, LockedError, Result}; +use crate::registry::{self, FileId, LockRecord}; + +const DEFAULT_TIMEOUT_MS: u64 = 250; +const DEFAULT_HEARTBEAT_MS: u64 = 2_000; +const DEFAULT_STALE_GRACE_MS: u64 = 10_000; +const SPIN_SLEEP_MS: u64 = 10; + +fn default_command() -> String { + std::env::args().collect::>().join(" ") +} + +fn lockfile_path(path: &Path) -> PathBuf { + let mut lock_path = path.to_path_buf(); + let suffix = match path.extension().and_then(|ext| ext.to_str()) { + Some(ext) if !ext.is_empty() => format!("{ext}.lock"), + _ => "lock".to_string(), + }; + lock_path.set_extension(suffix); + lock_path +} + +#[derive(Debug, Clone)] +pub struct LockOptions<'a> { + pub timeout: Duration, + pub heartbeat: Duration, + pub stale_grace: Duration, + pub command: Option<&'a str>, + pub force_stale: bool, +} + +impl Default for LockOptions<'_> { + fn default() -> Self { + Self { + timeout: Duration::from_millis(DEFAULT_TIMEOUT_MS), + heartbeat: Duration::from_millis(DEFAULT_HEARTBEAT_MS), + stale_grace: Duration::from_millis(DEFAULT_STALE_GRACE_MS), + command: None, + force_stale: false, + } + } +} + +impl<'a> LockOptions<'a> { + #[must_use] + pub fn timeout_ms(mut self, timeout_ms: u64) -> Self { + self.timeout = Duration::from_millis(timeout_ms); + self + } + + #[must_use] + pub fn heartbeat_ms(mut self, heartbeat_ms: u64) -> Self { + self.heartbeat = Duration::from_millis(heartbeat_ms); + self + } + + #[must_use] + pub fn stale_grace_ms(mut self, stale_grace_ms: u64) -> Self { + self.stale_grace = Duration::from_millis(stale_grace_ms); + self + } + + #[must_use] + pub fn command(mut self, command: &'a str) -> Self { + self.command = Some(command); + self + } + + #[must_use] + pub fn force_stale(mut self, force: bool) -> Self { + self.force_stale = force; + self + } +} + +#[allow(dead_code)] +pub struct LockfileGuard { + lock_path: PathBuf, + #[allow(dead_code)] + file: File, + file_id: FileId, + record: LockRecord, + heartbeat_interval: Duration, +} + +#[allow(dead_code)] +impl LockfileGuard { + pub fn heartbeat(&mut self) -> Result<()> { + if self.heartbeat_interval.is_zero() { + return Ok(()); + } + self.record.touch()?; + registry::write_record(&self.record)?; + Ok(()) + } + + #[must_use] + pub fn file_id(&self) -> &FileId { + &self.file_id + } + + #[must_use] + pub fn owner_hint(&self) -> LockOwnerHint { + self.record.to_owner_hint() + } +} + +impl Drop for LockfileGuard { + fn drop(&mut self) { + let _ = registry::remove_record(&self.file_id); + let _ = fs::remove_file(&self.lock_path); + } +} + +pub fn acquire(path: &Path, options: LockOptions<'_>) -> Result { + let lock_path = lockfile_path(path); + let file_id = registry::compute_file_id(path)?; + let command = options + .command + .map_or_else(default_command, std::borrow::ToOwned::to_owned); + let heartbeat_ms = options + .heartbeat + .as_millis() + .try_into() + .unwrap_or(DEFAULT_HEARTBEAT_MS); + let record = LockRecord::new(&file_id, path, command, heartbeat_ms)?; + let start = Instant::now(); + + loop { + match OpenOptions::new() + .write(true) + .create_new(true) + .open(&lock_path) + { + Ok(file) => { + if let Err(err) = registry::write_record(&record) { + let _ = fs::remove_file(&lock_path); + return Err(err); + } + return Ok(LockfileGuard { + lock_path, + file, + file_id, + record, + heartbeat_interval: options.heartbeat, + }); + } + Err(err) if err.kind() == std::io::ErrorKind::AlreadyExists => { + let existing = registry::read_record(&file_id)?; + let stale = existing + .as_ref() + .is_none_or(|rec| registry::is_stale(rec, options.stale_grace)); + + if options.force_stale && stale { + let _ = registry::remove_record(&file_id); + match fs::remove_file(&lock_path) { + Ok(()) => continue, + Err(inner) if inner.kind() == std::io::ErrorKind::NotFound => continue, + Err(inner) => return Err(inner.into()), + } + } + + if start.elapsed() >= options.timeout { + let hint = registry::to_owner_hint(existing.clone()); + let message = existing + .as_ref() + .map(|rec| { + format!( + "memory locked by pid {} (cmd: {}) since {}", + rec.pid, rec.cmd, rec.started_at + ) + }) + .unwrap_or_else(|| "memory locked by another process".to_string()); + return Err(Box::new(LockedError::new( + path.to_path_buf(), + message, + hint, + stale, + )) + .into()); + } + + let remaining = options + .timeout + .checked_sub(start.elapsed()) + .unwrap_or_else(|| Duration::from_millis(SPIN_SLEEP_MS)); + let sleep = Duration::from_millis(SPIN_SLEEP_MS).min(remaining); + thread::sleep(sleep); + } + Err(err) => return Err(err.into()), + } + } +} + +pub fn current_owner(path: &Path) -> Result> { + let file_id = match registry::compute_file_id(path) { + Ok(id) => id, + Err(crate::error::MemvidError::Io { source, .. }) + if source.kind() == std::io::ErrorKind::NotFound => + { + return Ok(None); + } + Err(err) => return Err(err), + }; + let record = registry::read_record(&file_id)?; + Ok(registry::to_owner_hint(record)) +} diff --git a/src/melfilters.bytes b/src/melfilters.bytes new file mode 100644 index 0000000..0874829 Binary files /dev/null and b/src/melfilters.bytes differ diff --git a/src/melfilters128.bytes b/src/melfilters128.bytes new file mode 100644 index 0000000..f287c5b Binary files /dev/null and b/src/melfilters128.bytes differ diff --git a/src/memvid/acl.rs b/src/memvid/acl.rs new file mode 100644 index 0000000..348a61b --- /dev/null +++ b/src/memvid/acl.rs @@ -0,0 +1,339 @@ +use std::collections::{BTreeMap, HashSet}; + +use crate::memvid::lifecycle::Memvid; +use crate::types::{ + ACL_READ_GROUPS_KEY, ACL_READ_PRINCIPALS_KEY, ACL_READ_ROLES_KEY, ACL_TENANT_ID_KEY, + ACL_VISIBILITY_KEY, AclContext, AclEnforcementMode, SearchHit, +}; +use crate::{MemvidError, Result}; + +#[derive(Debug, Clone, Default)] +pub(crate) struct AclFilterStats { + pub allowed: usize, + pub denied: usize, + pub cross_tenant_denied: usize, + pub missing_metadata: usize, +} + +impl AclFilterStats { + fn record(&mut self, decision: AclDecision) { + if decision.allowed { + self.allowed += 1; + return; + } + self.denied += 1; + if decision.cross_tenant_denied { + self.cross_tenant_denied += 1; + } + if decision.missing_metadata_denied { + self.missing_metadata += 1; + } + } +} + +#[derive(Debug, Clone, Eq, PartialEq)] +struct NormalizedAclContext { + tenant_id: String, + subject_id: Option, + roles: HashSet, + group_ids: HashSet, +} + +#[derive(Debug, Clone)] +struct ParsedFrameAcl { + tenant_id: String, + visibility: FrameVisibility, + roles: HashSet, + groups: HashSet, + principals: HashSet, +} + +#[derive(Debug, Clone, Copy, Eq, PartialEq)] +enum FrameVisibility { + Public, + Restricted, +} + +#[derive(Debug, Clone, Copy, Default)] +struct AclDecision { + allowed: bool, + cross_tenant_denied: bool, + missing_metadata_denied: bool, +} + +impl AclDecision { + fn allow() -> Self { + Self { + allowed: true, + ..Self::default() + } + } + + fn deny_cross_tenant() -> Self { + Self { + allowed: false, + cross_tenant_denied: true, + missing_metadata_denied: false, + } + } + + fn deny_missing_metadata() -> Self { + Self { + allowed: false, + cross_tenant_denied: false, + missing_metadata_denied: true, + } + } + + fn deny_restricted() -> Self { + Self { + allowed: false, + ..Self::default() + } + } +} + +impl Memvid { + pub(crate) fn apply_acl_to_search_hits( + &self, + hits: &mut Vec, + acl_context: Option<&AclContext>, + acl_enforcement_mode: AclEnforcementMode, + ) -> Result { + let normalized_context = match acl_enforcement_mode { + AclEnforcementMode::Audit => normalize_acl_context(acl_context), + AclEnforcementMode::Enforce => Some(validate_enforce_acl_context(acl_context)?), + }; + + let mut stats = AclFilterStats::default(); + if normalized_context.is_none() { + stats.allowed = hits.len(); + return Ok(stats); + } + + let mut filtered_hits = Vec::with_capacity(hits.len()); + for hit in &*hits { + let decision = match self.frame_by_id(hit.frame_id) { + Ok(frame) => { + evaluate_acl_metadata(&frame.extra_metadata, normalized_context.as_ref()) + } + Err(_) => AclDecision::deny_missing_metadata(), + }; + stats.record(decision); + if decision.allowed || acl_enforcement_mode == AclEnforcementMode::Audit { + filtered_hits.push(hit.clone()); + } + } + + if acl_enforcement_mode == AclEnforcementMode::Enforce { + for (index, hit) in filtered_hits.iter_mut().enumerate() { + hit.rank = index + 1; + } + *hits = filtered_hits; + } + + Ok(stats) + } +} + +fn validate_enforce_acl_context(context: Option<&AclContext>) -> Result { + let Some(context) = context else { + return Err(MemvidError::InvalidQuery { + reason: "acl_context is required when acl_enforcement_mode is 'enforce'".to_string(), + }); + }; + let Some(normalized) = normalize_acl_context(Some(context)) else { + return Err(MemvidError::InvalidQuery { + reason: "acl_context.tenant_id is required when acl_enforcement_mode is 'enforce'" + .to_string(), + }); + }; + Ok(normalized) +} + +fn normalize_acl_context(context: Option<&AclContext>) -> Option { + let context = context?; + let tenant_id = normalize_scalar(context.tenant_id.as_deref())?; + let subject_id = context + .subject_id + .as_deref() + .and_then(|value| normalize_scalar(Some(value))); + let roles = context + .roles + .iter() + .filter_map(|role| normalize_scalar(Some(role.as_str()))) + .collect(); + let group_ids = context + .group_ids + .iter() + .filter_map(|group| normalize_scalar(Some(group.as_str()))) + .collect(); + Some(NormalizedAclContext { + tenant_id, + subject_id, + roles, + group_ids, + }) +} + +fn evaluate_acl_metadata( + metadata: &BTreeMap, + context: Option<&NormalizedAclContext>, +) -> AclDecision { + let Some(context) = context else { + return AclDecision::allow(); + }; + + let parsed = match parse_acl_metadata(metadata) { + Ok(parsed) => parsed, + Err(()) => return AclDecision::deny_missing_metadata(), + }; + + if parsed.tenant_id != context.tenant_id { + return AclDecision::deny_cross_tenant(); + } + + if parsed.visibility == FrameVisibility::Public { + return AclDecision::allow(); + } + + let principal_allowed = context + .subject_id + .as_ref() + .is_some_and(|subject| parsed.principals.contains(subject)); + let role_allowed = context.roles.iter().any(|role| parsed.roles.contains(role)); + let group_allowed = context + .group_ids + .iter() + .any(|group| parsed.groups.contains(group)); + + if principal_allowed || role_allowed || group_allowed { + AclDecision::allow() + } else { + AclDecision::deny_restricted() + } +} + +fn parse_acl_metadata( + metadata: &BTreeMap, +) -> std::result::Result { + let tenant_id = + normalize_scalar(metadata.get(ACL_TENANT_ID_KEY).map(String::as_str)).ok_or(())?; + let visibility_raw = + normalize_scalar(metadata.get(ACL_VISIBILITY_KEY).map(String::as_str)).ok_or(())?; + let visibility = match visibility_raw.as_str() { + "public" => FrameVisibility::Public, + "restricted" => FrameVisibility::Restricted, + _ => return Err(()), + }; + let roles = parse_acl_list(metadata, ACL_READ_ROLES_KEY)?; + let groups = parse_acl_list(metadata, ACL_READ_GROUPS_KEY)?; + let principals = parse_acl_list(metadata, ACL_READ_PRINCIPALS_KEY)?; + + Ok(ParsedFrameAcl { + tenant_id, + visibility, + roles, + groups, + principals, + }) +} + +fn parse_acl_list( + metadata: &BTreeMap, + key: &str, +) -> std::result::Result, ()> { + let Some(raw) = metadata.get(key) else { + return Ok(HashSet::new()); + }; + let values: Vec = serde_json::from_str(raw).map_err(|_| ())?; + let mut parsed = HashSet::with_capacity(values.len()); + for value in values { + let normalized = normalize_scalar(Some(value.as_str())).ok_or(())?; + parsed.insert(normalized); + } + Ok(parsed) +} + +fn normalize_scalar(value: Option<&str>) -> Option { + let value = value?; + let trimmed = value.trim(); + if trimmed.is_empty() { + None + } else { + // Accept legacy/stringified metadata values emitted by some bindings, + // e.g. acl_visibility stored as "\"restricted\"" instead of "restricted". + let unwrapped = match serde_json::from_str::(trimmed) { + Ok(parsed) => parsed.trim().to_string(), + Err(_) => trimmed.to_string(), + }; + if unwrapped.is_empty() { + None + } else { + Some(unwrapped.to_ascii_lowercase()) + } + } +} + +#[cfg(test)] +mod tests { + use super::*; + + fn restricted_metadata() -> BTreeMap { + BTreeMap::from([ + (ACL_TENANT_ID_KEY.to_string(), "tenant-a".to_string()), + (ACL_VISIBILITY_KEY.to_string(), "restricted".to_string()), + ( + ACL_READ_ROLES_KEY.to_string(), + "[\"admin\",\"analyst\"]".to_string(), + ), + (ACL_READ_GROUPS_KEY.to_string(), "[\"eng\"]".to_string()), + ( + ACL_READ_PRINCIPALS_KEY.to_string(), + "[\"user-123\"]".to_string(), + ), + ]) + } + + fn context(tenant: &str) -> NormalizedAclContext { + NormalizedAclContext { + tenant_id: tenant.to_string(), + subject_id: Some("user-123".to_string()), + roles: HashSet::from(["viewer".to_string()]), + group_ids: HashSet::from(["eng".to_string()]), + } + } + + #[test] + fn parse_acl_metadata_rejects_invalid_list_encoding() { + let mut metadata = restricted_metadata(); + metadata.insert(ACL_READ_GROUPS_KEY.to_string(), "eng,ops".to_string()); + assert!(parse_acl_metadata(&metadata).is_err()); + } + + #[test] + fn evaluate_acl_denies_cross_tenant() { + let metadata = restricted_metadata(); + let ctx = context("tenant-b"); + let decision = evaluate_acl_metadata(&metadata, Some(&ctx)); + assert!(!decision.allowed); + assert!(decision.cross_tenant_denied); + } + + #[test] + fn evaluate_acl_allows_restricted_group_match() { + let metadata = restricted_metadata(); + let ctx = context("tenant-a"); + let decision = evaluate_acl_metadata(&metadata, Some(&ctx)); + assert!(decision.allowed); + } + + #[test] + fn evaluate_acl_denies_missing_metadata() { + let metadata = BTreeMap::new(); + let ctx = context("tenant-a"); + let decision = evaluate_acl_metadata(&metadata, Some(&ctx)); + assert!(!decision.allowed); + assert!(decision.missing_metadata_denied); + } +} diff --git a/src/memvid/ask.rs b/src/memvid/ask.rs new file mode 100644 index 0000000..8cf1a06 --- /dev/null +++ b/src/memvid/ask.rs @@ -0,0 +1,1615 @@ +// Safe unwrap: float comparisons with fallback ordering. +#![allow(clippy::unwrap_used)] +use std::borrow::Cow; +use std::collections::{BTreeSet, HashMap, HashSet}; +use std::num::NonZeroU64; +use std::time::Instant; + +use crate::memvid::lifecycle::Memvid; +use crate::memvid::search::helpers::{build_context, reorder_hits_by_token_matches}; +#[cfg(feature = "temporal_track")] +use crate::types::TemporalFilter; +use crate::types::{ + AskCitation, AskContextFragment, AskContextFragmentKind, AskMode, AskRequest, AskResponse, + AskRetriever, AskStats, SearchEngineKind, SearchHit, SearchParams, SearchRequest, + SearchResponse, TimelineQueryBuilder, +}; +use crate::{MemvidError, Result, VecEmbedder}; + +const RRF_K: f32 = 60.0; + +#[cfg(feature = "lex")] +impl Memvid { + pub fn ask(&mut self, request: AskRequest, embedder: Option<&E>) -> Result + where + E: VecEmbedder + ?Sized, + { + if !self.lex_enabled { + return Err(MemvidError::LexNotEnabled); + } + + let total_start = Instant::now(); + let lexical_query = sanitize_question_for_lexical(&request.question); + let primary_tokens: Vec = lexical_query + .split_whitespace() + .map(str::to_ascii_lowercase) + .collect(); + + // Detect aggregation questions that need multi-session retrieval + let is_aggregation = is_aggregation_question(&request.question); + // Detect recency questions that need the most recent information + let is_recency = is_recency_question(&request.question); + // Detect analytical/comparative questions that need comprehensive context + let is_analytical = is_analytical_question(&request.question); + + let effective_top_k = if is_analytical { + // Analytical questions require comprehensive context across all time periods + // to detect changes, reversions, comparisons, etc. + (request.top_k * 5).max(50) + } else if is_aggregation { + // For aggregation questions, retrieve more candidates to ensure diversity + (request.top_k * 3).max(30) + } else if is_recency { + // For recency questions, retrieve more candidates so recency boost can find the newest + (request.top_k * 2).max(20) + } else { + request.top_k + }; + + // For analytical questions, use broad OR query to get comprehensive context + // These questions require seeing all time periods to compare/analyze + let search_query = if is_analytical && !primary_tokens.is_empty() { + let analytical_query = build_analytical_query(&primary_tokens); + tracing::debug!( + "analytical question detected, using broad OR query: {}", + analytical_query + ); + analytical_query + } else if is_recency && !primary_tokens.is_empty() { + // For recency questions, use OR query from the start to maximize recall + // This ensures we find all relevant documents even with different terminology + let recency_query = build_recency_query(&primary_tokens); + tracing::debug!( + "recency question detected, using OR query: {}", + recency_query + ); + recency_query + } else if lexical_query.is_empty() { + request.question.clone() + } else { + lexical_query.clone() + }; + + let mut search_request = SearchRequest { + query: search_query, + top_k: effective_top_k, + snippet_chars: request.snippet_chars, + uri: request.uri.clone(), + scope: request.scope.clone(), + cursor: request.cursor.clone(), + #[cfg(feature = "temporal_track")] + temporal: request.temporal.clone().or_else(|| { + if request.start.is_some() || request.end.is_some() { + Some(TemporalFilter { + start_utc: request.start, + end_utc: request.end, + phrase: None, + tz: None, + }) + } else { + None + } + }), + as_of_frame: request.as_of_frame, + as_of_ts: request.as_of_ts, + // Disable sketch pre-filter for ask queries - accuracy is more important than speed + // SimHash can filter out semantically relevant documents that use different wording + no_sketch: true, + acl_context: request.acl_context.clone(), + acl_enforcement_mode: request.acl_enforcement_mode, + }; + + // Pre-compute the query embedding once so we can reuse it for vector recall and semantic re-rank + let mut query_embedding: Option> = None; + if let Some(embedder) = embedder { + if self.vec_enabled || request.mode != AskMode::Lex { + query_embedding = Some(embedder.embed_query(&request.question)?); + } + } + + tracing::debug!("ask search query: {}", search_request.query); + let mut retrieval = self.search(search_request.clone())?; + self.filter_hits_in_time_range( + &mut retrieval.hits, + request.start, + request.end, + &mut retrieval.total_hits, + )?; + + let mut lex_fallback_used = false; + let mut timeline_fallback_used = false; + if retrieval.hits.is_empty() { + if !primary_tokens.is_empty() { + if let Some(or_query) = build_disjunctive_query(&primary_tokens) { + if or_query != search_request.query { + let mut or_request = search_request.clone(); + or_request.query = or_query.clone(); + let mut or_response = self.search(or_request)?; + self.filter_hits_in_time_range( + &mut or_response.hits, + request.start, + request.end, + &mut or_response.total_hits, + )?; + if !or_response.hits.is_empty() { + retrieval = or_response; + search_request.query = or_query; + lex_fallback_used = true; + } + } + } + } + if retrieval.hits.is_empty() { + if let Some(fallback_query) = lexical_fallback_query(&request.question) { + if fallback_query != search_request.query { + let mut fallback_request = search_request.clone(); + fallback_request.query = fallback_query.clone(); + let mut fallback_response = self.search(fallback_request)?; + self.filter_hits_in_time_range( + &mut fallback_response.hits, + request.start, + request.end, + &mut fallback_response.total_hits, + )?; + if !fallback_response.hits.is_empty() { + retrieval = fallback_response; + search_request.query = fallback_query; + lex_fallback_used = true; + } + } + } + } + // Expanded query fallback: try singular/plural variants for better recall + if retrieval.hits.is_empty() { + let expanded_queries = build_expanded_queries(&primary_tokens); + for expanded_query in expanded_queries { + if expanded_query != search_request.query { + let mut expanded_request = search_request.clone(); + expanded_request.query = expanded_query.clone(); + let mut expanded_response = self.search(expanded_request)?; + self.filter_hits_in_time_range( + &mut expanded_response.hits, + request.start, + request.end, + &mut expanded_response.total_hits, + )?; + if !expanded_response.hits.is_empty() { + retrieval = expanded_response; + search_request.query = expanded_query; + lex_fallback_used = true; + break; + } + } + } + } + // Timeline fallback: if still no hits, sample from timeline to provide context + if retrieval.hits.is_empty() { + tracing::debug!("ask: no search hits, falling back to timeline sampling"); + if let Ok(timeline_response) = self.build_timeline_fallback_response( + &request, + &search_request, + retrieval.elapsed_ms, + ) { + if !timeline_response.hits.is_empty() { + retrieval = timeline_response; + timeline_fallback_used = true; + } + } + } + } + + // Build multiple candidate lists (lexical variants + vector) and fuse with RRF. + let mut candidate_lists: Vec> = Vec::new(); + let mut vector_used = false; + + // For analytical questions, use timeline directly (skip RRF mixing with search) + // This ensures full-text hits are preserved - search hits are truncated and would + // replace timeline hits in RRF due to rank comparison + if is_analytical { + // Create a modified request with a large top_k to retrieve the full timeline + // Analytical questions need to see ALL time periods to detect changes/reversions + let mut analytical_request = request.clone(); + analytical_request.top_k = 100; // Get up to 100 timeline entries for comprehensive context + if let Ok(timeline_response) = self.build_timeline_fallback_response( + &analytical_request, + &search_request, + retrieval.elapsed_ms, + ) { + if !timeline_response.hits.is_empty() { + tracing::debug!( + "analytical question: using {} timeline documents (full text) as primary context", + timeline_response.hits.len() + ); + // For analytical questions, use ONLY timeline hits (with full text) + // Skip mixing with search hits which have truncated text + candidate_lists.push(timeline_response.hits); + } + } + } else { + // For non-analytical questions, add search hits to candidate list + candidate_lists.push(retrieval.hits.clone()); + } + + // OR-expanded lexical query even when base has hits to widen recall. + // Skip for analytical questions - they use timeline directly with full text + if !is_analytical { + if let Some(or_query) = build_disjunctive_query(&primary_tokens) { + if or_query != search_request.query { + let mut or_request = search_request.clone(); + or_request.query = or_query.clone(); + let mut or_response = self.search(or_request)?; + self.filter_hits_in_time_range( + &mut or_response.hits, + request.start, + request.end, + &mut or_response.total_hits, + )?; + if !or_response.hits.is_empty() { + candidate_lists.push(or_response.hits); + } + } + } + + // Vector-only candidate list. + if self.vec_enabled && query_embedding.is_some() { + let vec_hits = vector_hits( + self, + query_embedding.as_deref().unwrap_or(&[]), + &request, + effective_top_k.max(24).min(64), + )?; + if !vec_hits.is_empty() { + candidate_lists.push(vec_hits); + vector_used = true; + } + } + } + + // Search for corrections that might be relevant to the question + // Corrections have high priority and should override older information + if !primary_tokens.is_empty() { + let correction_query = format!( + "uri:mv2://correction/* AND ({})", + primary_tokens.join(" OR ") + ); + let mut correction_request = search_request.clone(); + correction_request.query = correction_query; + correction_request.top_k = 10; // Limit to 10 corrections + if let Ok(correction_response) = self.search(correction_request) { + if !correction_response.hits.is_empty() { + tracing::debug!( + "found {} potential corrections for question", + correction_response.hits.len() + ); + candidate_lists.push(correction_response.hits); + } + } + } + + // Fuse all candidates with RRF and rebuild retrieval. + if let Some(fused) = fuse_hits_rrf(candidate_lists, effective_top_k.max(24)) { + retrieval.hits = fused; + retrieval.total_hits = retrieval.hits.len(); + if vector_used { + retrieval.engine = SearchEngineKind::Hybrid; + } + } + + if lex_fallback_used && !primary_tokens.is_empty() { + tracing::debug!( + "lex fallback reordering with {} primary tokens", + primary_tokens.len() + ); + reorder_hits_by_token_matches(&mut retrieval.hits, &primary_tokens); + if let Some(best_idx) = retrieval + .hits + .iter() + .position(|hit| tokens_present_in_hit(hit, &primary_tokens)) + { + if best_idx != 0 { + retrieval.hits.swap(0, best_idx); + } + } + retrieval.context = build_context(&retrieval.hits); + } + + if is_update_question(&request.question) || is_recency { + promote_temporal_extremes( + self, + &mut retrieval.hits, + is_update_question(&request.question), + )?; + } + + // For aggregation questions, diversify hits to ensure unique sessions are represented + if is_aggregation && retrieval.hits.len() > request.top_k { + tracing::debug!( + "aggregation question detected: diversifying {} hits to {} unique sessions", + retrieval.hits.len(), + request.top_k + ); + diversify_hits_for_aggregation(&mut retrieval.hits, request.top_k); + retrieval.total_hits = retrieval.hits.len(); + } + + let retrieval_ms = retrieval.elapsed_ms; + let mut semantic_scores: HashMap = HashMap::new(); + let semantics_applied = if request.mode == AskMode::Lex { + false + } else { + self.apply_semantic_ranking( + embedder, + &request, + &mut retrieval.hits, + &mut semantic_scores, + query_embedding.as_deref(), + )? + }; + + if semantics_applied && (is_update_question(&request.question) || is_recency) { + promote_temporal_extremes( + self, + &mut retrieval.hits, + is_update_question(&request.question), + )?; + } + + // Apply correction boost AFTER all other reranking - corrections should have final priority + // This ensures user corrections override all other ranking signals + promote_corrections(self, &mut retrieval.hits)?; + + self.apply_acl_to_search_hits( + &mut retrieval.hits, + request.acl_context.as_ref(), + request.acl_enforcement_mode, + )?; + if request.acl_enforcement_mode == crate::types::AclEnforcementMode::Enforce { + retrieval.total_hits = retrieval.hits.len(); + } + + retrieval.context = build_context(&retrieval.hits); + + let (answer, citations, synthesis_ms) = if request.context_only { + (None, Vec::new(), 0) + } else { + let synth_start = Instant::now(); + let citations = build_citations(&retrieval.hits, &semantic_scores); + let answer = synthesize_answer(&request.question, &retrieval.hits, &citations); + let synth_ms = synth_start.elapsed().as_millis(); + (answer, citations, synth_ms) + }; + + let retriever = determine_retriever( + request.mode, + semantics_applied, + lex_fallback_used, + timeline_fallback_used, + ); + let stats = AskStats { + retrieval_ms, + synthesis_ms, + latency_ms: total_start.elapsed().as_millis(), + }; + + let context_fragments: Vec = retrieval + .hits + .iter() + .map(|hit| AskContextFragment { + rank: hit.rank, + frame_id: hit.frame_id, + uri: hit.uri.clone(), + title: hit.title.clone(), + score: hit.score, + matches: hit.matches, + range: Some(hit.range), + chunk_range: hit.chunk_range, + text: hit.chunk_text.clone().unwrap_or_else(|| hit.text.clone()), + kind: Some(AskContextFragmentKind::Full), + #[cfg(feature = "temporal_track")] + temporal: hit + .metadata + .as_ref() + .and_then(|metadata| metadata.temporal.clone()), + }) + .collect(); + + Ok(AskResponse { + question: request.question, + mode: request.mode, + retriever, + context_only: request.context_only, + retrieval, + answer, + citations, + context_fragments, + stats, + }) + } + + fn filter_hits_in_time_range( + &mut self, + hits: &mut Vec, + start: Option, + end: Option, + total_hits: &mut usize, + ) -> Result<()> { + if start.is_none() && end.is_none() { + return Ok(()); + } + + hits.retain(|hit| match self.frame_by_id(hit.frame_id) { + Ok(frame) => { + let effective_ts = self + .effective_temporal_timestamp(frame.id, frame.timestamp) + .unwrap_or(frame.timestamp); + if let Some(start_ts) = start { + if effective_ts < start_ts { + return false; + } + } + if let Some(end_ts) = end { + if effective_ts > end_ts { + return false; + } + } + true + } + Err(_) => false, + }); + for (idx, hit) in hits.iter_mut().enumerate() { + hit.rank = idx + 1; + } + *total_hits = hits.len(); + Ok(()) + } + + fn apply_semantic_ranking( + &mut self, + embedder: Option<&E>, + request: &AskRequest, + hits: &mut Vec, + scores_out: &mut HashMap, + query_embedding_hint: Option<&[f32]>, + ) -> Result + where + E: VecEmbedder + ?Sized, + { + let Some(embedder) = embedder else { + return Ok(false); + }; + if !self.vec_enabled { + return Ok(false); + } + + let query_embedding_cow: Cow<'_, [f32]> = if let Some(existing) = query_embedding_hint { + Cow::Borrowed(existing) + } else { + let embedding = embedder.embed_query(&request.question)?; + if embedding.is_empty() { + return Ok(false); + } + Cow::Owned(embedding) + }; + if query_embedding_cow.is_empty() { + return Ok(false); + } + let query_embedding = query_embedding_cow.as_ref(); + let expected_dimension = embedder.embedding_dimension(); + let stored_dimension = self + .toc + .indexes + .vec + .as_ref() + .map(|manifest| manifest.dimension) + .filter(|dim| *dim > 0) + .or_else(|| { + self.vec_index.as_ref().and_then(|index| { + index + .entries() + .next() + .map(|(_, emb)| u32::try_from(emb.len()).unwrap_or(0)) + }) + }) + .unwrap_or(0); + if stored_dimension > 0 + && u32::try_from(query_embedding.len()).unwrap_or(u32::MAX) != stored_dimension + { + return Err(MemvidError::VecDimensionMismatch { + expected: stored_dimension, + actual: query_embedding.len(), + }); + } + + let mut semantic_scores: HashMap = HashMap::new(); + for hit in hits.iter() { + if let Some(embedding) = self.frame_embedding(hit.frame_id)? { + if expected_dimension == 0 || embedding.len() == expected_dimension { + let score = cosine_similarity(query_embedding, &embedding); + semantic_scores.insert(hit.frame_id, score); + } + } + } + if semantic_scores.is_empty() { + return Ok(false); + } + + reorder_hits_with_semantic_scores(hits, &semantic_scores, request.mode); + scores_out.extend(semantic_scores); + Ok(true) + } + + /// Build a fallback `SearchResponse` from timeline entries when search returns no hits. + /// This gives the LLM some context to work with for general questions about the document. + /// For comprehensive coverage, includes child frames (e.g., document pages) as well. + fn build_timeline_fallback_response( + &mut self, + request: &AskRequest, + search_request: &SearchRequest, + elapsed_ms: u128, + ) -> Result { + // Get timeline entries (up to top_k frames) + let limit = NonZeroU64::new(request.top_k as u64).unwrap_or(NonZeroU64::new(8).unwrap()); + let timeline_query = TimelineQueryBuilder::default().limit(limit).build(); + let entries = self.timeline(timeline_query)?; + + if entries.is_empty() { + return Ok(SearchResponse { + query: search_request.query.clone(), + hits: Vec::new(), + total_hits: 0, + context: String::new(), + next_cursor: None, + engine: SearchEngineKind::LexFallback, + elapsed_ms, + params: SearchParams { + top_k: request.top_k, + snippet_chars: request.snippet_chars, + cursor: search_request.cursor.clone(), + }, + stale_index_skips: 0, + }); + } + + // Collect all frame IDs including child frames for comprehensive coverage + // This is critical for analytical questions that need full document context + let mut all_frame_ids: Vec<(u64, Option)> = Vec::new(); + for entry in &entries { + // Add parent frame + all_frame_ids.push((entry.frame_id, entry.uri.clone())); + // Add all child frames (e.g., document pages) + for child_id in &entry.child_frames { + all_frame_ids.push((*child_id, None)); + } + } + + tracing::debug!( + "timeline fallback: expanding {} parent entries to {} total frames (including children)", + entries.len(), + all_frame_ids.len() + ); + + // Convert all frames to SearchHits + let mut hits = Vec::with_capacity(all_frame_ids.len()); + let mut context_parts = Vec::new(); + + for (rank, (frame_id, parent_uri)) in all_frame_ids.iter().enumerate() { + // Get full frame content for the context + let (frame_text, frame_uri) = match self.frame_by_id(*frame_id) { + Ok(frame) => { + let content = self.frame_content(&frame).unwrap_or_else(|_| String::new()); + let uri = frame + .uri + .clone() + .or_else(|| parent_uri.clone()) + .unwrap_or_else(|| format!("mv2://frame/{frame_id}")); + (content, uri) + } + Err(_) => continue, // Skip frames we can't read + }; + + if frame_text.is_empty() { + continue; + } + + // For timeline fallback, keep the FULL text in BOTH text and chunk_text + // This is critical for analytical questions that need complete context + // build_context uses hit.text, so we must put full content there + + // Build context from full frame text + context_parts.push(format!("[{}] {}", rank + 1, frame_text)); + + hits.push(SearchHit { + rank: rank + 1, + score: None, + frame_id: *frame_id, + uri: frame_uri, + title: None, + matches: 0, // No keyword matches for timeline fallback + range: (0, frame_text.len()), + chunk_range: Some((0, frame_text.len())), + // Full text in both fields for complete context + text: frame_text.clone(), + chunk_text: Some(frame_text.clone()), + metadata: None, + }); + } + + let context = context_parts.join("\n\n"); + let total_hits = hits.len(); + + Ok(SearchResponse { + query: search_request.query.clone(), + hits, + total_hits, + context, + next_cursor: None, + engine: SearchEngineKind::LexFallback, // Mark as fallback + elapsed_ms, + params: SearchParams { + top_k: request.top_k, + snippet_chars: request.snippet_chars, + cursor: search_request.cursor.clone(), + }, + stale_index_skips: 0, + }) + } +} + +#[cfg(not(feature = "lex"))] +impl Memvid { + pub fn ask(&mut self, _request: AskRequest, _embedder: Option<&E>) -> Result + where + E: VecEmbedder + ?Sized, + { + Err(MemvidError::LexNotEnabled) + } +} + +fn determine_retriever( + mode: AskMode, + semantics_applied: bool, + lex_fallback_used: bool, + timeline_fallback_used: bool, +) -> AskRetriever { + // Timeline fallback takes precedence if used + if timeline_fallback_used { + return AskRetriever::TimelineFallback; + } + + match mode { + AskMode::Lex => AskRetriever::Lex, + AskMode::Sem => { + if semantics_applied { + AskRetriever::Semantic + } else if lex_fallback_used { + AskRetriever::LexFallback + } else { + AskRetriever::LexFallback + } + } + AskMode::Hybrid => { + if semantics_applied { + AskRetriever::Hybrid + } else if lex_fallback_used { + AskRetriever::LexFallback + } else { + AskRetriever::Lex + } + } + } +} + +fn reorder_hits_with_semantic_scores( + hits: &mut Vec, + semantic_scores: &HashMap, + mode: AskMode, +) { + let mut semantic_rank: HashMap = HashMap::new(); + let mut sorted_semantic: Vec<(u64, f32)> = semantic_scores + .iter() + .map(|(frame_id, score)| (*frame_id, *score)) + .collect(); + sorted_semantic.sort_by(|a, b| b.1.partial_cmp(&a.1).unwrap_or(std::cmp::Ordering::Equal)); + for (idx, (frame_id, _)) in sorted_semantic.iter().enumerate() { + semantic_rank.insert(*frame_id, idx + 1); + } + + let mut ordering: Vec<(usize, f32, usize)> = hits + .iter() + .enumerate() + .map(|(idx, hit)| { + let lexical_rank = hit.rank; + let semantic_score = semantic_scores.get(&hit.frame_id).copied().unwrap_or(0.0); + let combined = match mode { + AskMode::Sem => semantic_score, + AskMode::Hybrid => { + let lexical_rrf = 1.0 / (RRF_K + lexical_rank as f32); + let semantic_rrf = semantic_rank + .get(&hit.frame_id) + .map_or(0.0, |rank| 1.0 / (RRF_K + *rank as f32)); + semantic_score + lexical_rrf + semantic_rrf + } + AskMode::Lex => 1.0 / (RRF_K + lexical_rank as f32), + }; + (idx, combined, lexical_rank) + }) + .collect(); + + ordering.sort_by(|a, b| { + b.1.partial_cmp(&a.1) + .unwrap_or(std::cmp::Ordering::Equal) + .then(a.2.cmp(&b.2)) + }); + + let mut reordered = Vec::with_capacity(hits.len()); + for (new_rank, (idx, _, _)) in ordering.into_iter().enumerate() { + let mut hit = hits[idx].clone(); + hit.rank = new_rank + 1; + if let Some(score) = semantic_scores.get(&hit.frame_id) { + hit.score = Some(*score); + } + reordered.push(hit); + } + *hits = reordered; +} + +fn build_citations(hits: &[SearchHit], semantic_scores: &HashMap) -> Vec { + hits.iter() + .enumerate() + .map(|(idx, hit)| AskCitation { + index: idx + 1, + frame_id: hit.frame_id, + uri: hit.uri.clone(), + chunk_range: hit.chunk_range.or(Some(hit.range)), + score: semantic_scores.get(&hit.frame_id).copied().or(hit.score), + }) + .collect() +} + +fn synthesize_answer( + question: &str, + hits: &[SearchHit], + citations: &[AskCitation], +) -> Option { + if hits.is_empty() { + return None; + } + + let mut segments = Vec::new(); + for citation in citations.iter().take(3) { + if let Some(hit) = hits + .iter() + .find(|candidate| candidate.frame_id == citation.frame_id) + { + let snippet = hit.text.trim(); + if snippet.is_empty() { + continue; + } + let sanitized = snippet.split_whitespace().collect::>().join(" "); + if sanitized.is_empty() { + continue; + } + segments.push(format!("{} [{}]", sanitized, citation.index)); + } + } + + if segments.is_empty() { + return Some(format!( + "No direct synthesis available for '{question}'. Review the top contexts manually.", + )); + } + + Some(segments.join(" ")) +} + +fn cosine_similarity(a: &[f32], b: &[f32]) -> f32 { + let mut dot = 0.0f32; + let mut sum_a = 0.0f32; + let mut sum_b = 0.0f32; + for (x, y) in a.iter().zip(b.iter()) { + dot += x * y; + sum_a += x * x; + sum_b += y * y; + } + + if sum_a <= f32::EPSILON || sum_b <= f32::EPSILON { + 0.0 + } else { + dot / (sum_a.sqrt() * sum_b.sqrt()) + } +} + +fn lexical_fallback_query(question: &str) -> Option { + let sanitized_full = sanitize_question_for_lexical(question); + if sanitized_full.is_empty() { + return None; + } + + let sanitized_tokens: Vec = sanitized_full + .split_whitespace() + .map(std::string::ToString::to_string) + .collect(); + + let mut candidates: Vec = question + .split_whitespace() + .filter_map(|raw| { + let candidate = sanitize_question_for_lexical(raw); + if candidate.is_empty() { + return None; + } + if raw.chars().any(|c| c.is_ascii_uppercase()) { + let lower = candidate.to_ascii_lowercase(); + if !is_stopword(&lower) { + return Some(candidate); + } + } + None + }) + .collect(); + + if candidates.is_empty() { + for token in &sanitized_tokens { + let lower = token.to_ascii_lowercase(); + if token.len() > 3 && !is_stopword(&lower) { + candidates.push(token.clone()); + } + } + } + + if candidates.is_empty() { + candidates.extend(sanitized_tokens); + } + + candidates + .into_iter() + .map(|candidate| candidate.trim().to_string()) + .find(|candidate| !candidate.is_empty()) +} + +fn is_stopword(token: &str) -> bool { + const STOPWORDS: &[&str] = &[ + "a", "an", "and", "are", "as", "at", "be", "been", "being", "but", "by", "does", "do", + "did", "else", "for", "from", "had", "have", "has", "he", "her", "here", "hers", "him", + "his", "how", "i", "if", "in", "is", "it", "its", "it's", "many", "me", "mine", "more", + "most", "much", "my", "no", "not", "of", "on", "or", "our", "ours", "she", "so", "that", + "the", "their", "them", "there", "these", "they", "this", "those", "through", "to", "us", + "was", "we", "were", "what", "when", "where", "which", "who", "whom", "why", "with", "you", + "your", "yours", + ]; + STOPWORDS.contains(&token) +} + +fn sanitize_question_for_lexical(question: &str) -> String { + let mut sanitized = String::with_capacity(question.len()); + let mut prev_was_space = false; + + for ch in question.chars() { + if ch.is_ascii_alphanumeric() || matches!(ch, ':' | '/' | '_' | '-' | '.' | '@') { + sanitized.push(ch); + prev_was_space = false; + } else if ch.is_whitespace() { + if !prev_was_space && !sanitized.is_empty() { + sanitized.push(' '); + prev_was_space = true; + } + } else if !sanitized.is_empty() && !prev_was_space { + sanitized.push(' '); + prev_was_space = true; + } + } + + let trimmed = sanitized.trim(); + if trimmed.is_empty() { + return String::new(); + } + + let tokens: Vec<&str> = trimmed.split_whitespace().collect(); + if tokens.is_empty() { + return String::new(); + } + + let mut filtered: Vec<&str> = Vec::new(); + for token in tokens.iter().copied() { + if token.contains(':') { + filtered.push(token); + continue; + } + let lower = token.to_ascii_lowercase(); + if !is_stopword(&lower) { + filtered.push(token); + } + } + + let final_tokens = if filtered.is_empty() { + tokens + } else { + filtered + }; + final_tokens.join(" ") +} + +fn build_disjunctive_query(tokens: &[String]) -> Option { + let mut unique: BTreeSet = BTreeSet::new(); + for token in tokens { + if token.trim().is_empty() { + continue; + } + unique.insert(token.to_ascii_lowercase()); + } + if unique.is_empty() { + None + } else { + Some(unique.into_iter().collect::>().join(" OR ")) + } +} + +/// Build expanded query variants for better recall on aggregation questions. +/// For example, "weddings attended" expands to include possessive forms like +/// "cousin's wedding", "friend's wedding", etc. +fn build_expanded_queries(tokens: &[String]) -> Vec { + let mut variants = Vec::new(); + + // Find key nouns that might have possessive relationships + let key_nouns: Vec<&str> = tokens + .iter() + .filter(|t| !is_stopword(t) && t.len() > 3) + .map(std::string::String::as_str) + .collect(); + + if key_nouns.is_empty() { + return variants; + } + + // For each key noun, try singular/plural and possessive forms + for noun in &key_nouns { + // Try the base form + variants.push((*noun).to_string()); + + // Try singular/plural variants + if noun.ends_with('s') && noun.len() > 4 { + // "weddings" -> "wedding" + let singular = &noun[..noun.len() - 1]; + variants.push(singular.to_string()); + } else if !noun.ends_with('s') { + // "wedding" -> "weddings" + variants.push(format!("{noun}s")); + } + } + + // Create OR queries from the variants + if variants.is_empty() { + Vec::new() + } else { + let or_query = variants.join(" OR "); + vec![or_query] + } +} + +fn tokens_present_in_hit(hit: &SearchHit, tokens: &[String]) -> bool { + if tokens.is_empty() { + return false; + } + let haystack = hit + .chunk_text + .as_ref() + .unwrap_or(&hit.text) + .to_ascii_lowercase(); + tokens.iter().all(|token| haystack.contains(token.as_str())) +} + +/// Detect questions that imply a before/after update (e.g., "initially", "now", "before", "currently"). +fn is_update_question(question: &str) -> bool { + let lower = question.to_ascii_lowercase(); + + let change_markers = [ + "before", + "initial", + "initially", + "originally", + "used to", + "earlier", + "previous", + "first", + "when i started", + "start", + ]; + let now_markers = [ + "now", + "currently", + "these days", + "as of", + "latest", + "today", + "currently", + "present", + ]; + + let has_change = change_markers.iter().any(|marker| lower.contains(marker)); + let has_now = now_markers.iter().any(|marker| lower.contains(marker)); + + has_change && has_now + || lower.contains("update") + || lower.contains("changed") + || lower.contains("still") +} + +/// Detect if a question requires aggregation across multiple sessions. +/// These are questions like "how many X have I done", "list all X", "what is the total". +fn is_aggregation_question(question: &str) -> bool { + let lower = question.to_ascii_lowercase(); + + // Counting patterns + let counting_patterns = [ + "how many", + "how much", + "what is the total", + "what's the total", + "count of", + "number of", + "total number", + ]; + + // Listing patterns + let listing_patterns = [ + "list all", + "list the", + "what are all", + "what were all", + "name all", + "tell me all", + "all the times", + "every time", + ]; + + // Aggregation verbs with "have I" or "did I" patterns + let aggregation_verbs = [ + "have i attended", + "have i been to", + "have i visited", + "have i done", + "have i completed", + "have i watched", + "have i read", + "did i attend", + "did i go to", + "did i visit", + ]; + + for pattern in counting_patterns + .iter() + .chain(listing_patterns.iter()) + .chain(aggregation_verbs.iter()) + { + if lower.contains(pattern) { + return true; + } + } + + false +} + +/// Detect if a question is asking for the most recent/current information. +/// These questions need recency-weighted search to find the latest updates. +/// Examples: "What is my current X?", "What's my latest Y?", "What is my X now?" +fn is_recency_question(question: &str) -> bool { + let lower = question.to_ascii_lowercase(); + + // Multi-word patterns (safe to use contains) + let multi_word_patterns = [ + "most recent", + "right now", + "these days", + "at the moment", + "up to date", + ]; + + for pattern in &multi_word_patterns { + if lower.contains(pattern) { + return true; + } + } + + // Single-word patterns need word boundary checking to avoid false matches + // e.g., "now" should not match "know" + let single_word_patterns = [ + "current", + "currently", + "latest", + "nowadays", + "presently", + "today", + ]; + + // Split into words and check for exact matches + let words: Vec<&str> = lower.split(|c: char| !c.is_alphanumeric()).collect(); + for pattern in &single_word_patterns { + if words.contains(pattern) { + return true; + } + } + + // Special case: "now" at end of sentence (common in "What is X now?") + if words.last() == Some(&"now") || lower.ends_with(" now?") || lower.ends_with(" now") { + return true; + } + + false +} + +/// Build a broad OR query for analytical questions. +/// For questions that require comparing states across time, we use a very permissive +/// query to retrieve as many relevant documents as possible. +fn build_analytical_query(tokens: &[String]) -> String { + // Remove abstract analytical words that won't match document content + let analytical_stopwords: HashSet<&str> = [ + "any", + "are", + "there", + "that", + "reverted", + "revert", + "previous", + "value", + "values", + "changed", + "change", + "changes", + "compare", + "comparison", + "different", + "difference", + "between", + "vs", + "versus", + "if", + "so", + "which", + "what", + "did", + "does", + "how", + "when", + "over", + "time", + "throughout", + "evolution", + "history", + "timeline", + "progression", + "back", + "went", + "go", + "returned", + ] + .into_iter() + .collect(); + + // Keep only content-bearing terms + let content_terms: Vec<&str> = tokens + .iter() + .map(std::string::String::as_str) + .filter(|t| !analytical_stopwords.contains(*t) && t.len() > 2) + .collect(); + + if content_terms.is_empty() { + // If no content terms, use a wildcard-style query + // Return empty to trigger timeline fallback + String::new() + } else { + // Create OR query with all content terms + content_terms.join(" OR ") + } +} + +/// Detect if a question requires analytical/comparative reasoning across time periods. +/// These questions need comprehensive context to compare states, find reversions, or +/// track changes over time. Examples: +/// - "Are there any attributes that reverted?" +/// - "What changed between X and Y?" +/// - "Compare the state in 2024 vs 2025" +/// - "Did anything go back to a previous value?" +fn is_analytical_question(question: &str) -> bool { + let lower = question.to_ascii_lowercase(); + + // Patterns indicating comparative/analytical reasoning + let analytical_patterns = [ + "reverted", + "revert", + "went back", + "go back", + "changed back", + "returned to", + "compare", + "comparison", + "difference between", + "changed over time", + "over time", + "across all", + "throughout", + "evolution of", + "history of", + "timeline of", + "progression of", + "changed from", + "differ from", + "vs ", + "versus", + "before and after", + "any changes", + "any attributes", + "any differences", + ]; + + for pattern in &analytical_patterns { + if lower.contains(pattern) { + return true; + } + } + + false +} + +/// Build an OR query for recency questions to maximize recall. +/// This helps find all relevant documents so recency boosting can pick the newest. +fn build_recency_query(tokens: &[String]) -> String { + // Filter out temporal modifier words that don't help with content matching + let temporal_modifiers: HashSet<&str> = [ + "current", + "currently", + "latest", + "recent", + "recently", + "now", + "today", + "presently", + "moment", + "nowadays", + ] + .into_iter() + .collect(); + + let content_tokens: Vec<&String> = tokens + .iter() + .filter(|t| !temporal_modifiers.contains(t.as_str())) + .collect(); + + if content_tokens.is_empty() { + return tokens.join(" OR "); + } + + // Build OR query for better recall + content_tokens + .iter() + .map(|t| t.as_str()) + .collect::>() + .join(" OR ") +} + +/// Diversify hits for aggregation questions by ensuring unique URIs/sessions. +/// This helps find information scattered across multiple conversations. +fn diversify_hits_for_aggregation(hits: &mut Vec, target_unique: usize) { + if hits.len() <= target_unique { + return; + } + + let mut seen_uris: HashSet = HashSet::new(); + let mut diversified: Vec = Vec::new(); + let mut remaining: Vec = Vec::new(); + + // First pass: collect one hit per unique URI (base URI without fragment) + for hit in hits.drain(..) { + let base_uri = hit.uri.split('#').next().unwrap_or(&hit.uri).to_string(); + if !seen_uris.contains(&base_uri) && diversified.len() < target_unique { + seen_uris.insert(base_uri); + diversified.push(hit); + } else { + remaining.push(hit); + } + } + + // Second pass: fill remaining slots with best scoring remaining hits + let slots_left = target_unique.saturating_sub(diversified.len()); + for hit in remaining.into_iter().take(slots_left) { + diversified.push(hit); + } + + // Re-rank + for (idx, hit) in diversified.iter_mut().enumerate() { + hit.rank = idx + 1; + } + + *hits = diversified; +} + +/// Retrieve pure vector hits for fusion. +fn vector_hits( + memvid: &mut Memvid, + query_embedding: &[f32], + request: &AskRequest, + limit: usize, +) -> Result> { + if !memvid.vec_enabled || query_embedding.is_empty() { + return Ok(Vec::new()); + } + + // Use adaptive retrieval if configured + if let Some(ref adaptive_config) = request.adaptive { + if adaptive_config.enabled { + let result = memvid.search_adaptive_acl( + &request.question, + query_embedding, + adaptive_config.clone(), + request.snippet_chars, + request.scope.as_deref(), + request.acl_context.as_ref(), + request.acl_enforcement_mode, + )?; + tracing::debug!( + "adaptive retrieval: {} -> {} results ({})", + result.stats.total_considered, + result.stats.returned, + result.stats.triggered_by + ); + return Ok(result.results); + } + } + + let vec_response = memvid.vec_search_with_embedding_acl( + &request.question, + query_embedding, + limit, + request.snippet_chars, + request.scope.as_deref(), + request.acl_context.as_ref(), + request.acl_enforcement_mode, + )?; + + Ok(vec_response.hits) +} + +/// Fuse multiple hit lists using Reciprocal Rank Fusion. +fn fuse_hits_rrf(mut lists: Vec>, target: usize) -> Option> { + if lists.is_empty() { + return None; + } + lists.retain(|list| !list.is_empty()); + if lists.is_empty() { + return None; + } + + let mut fused: HashMap = HashMap::new(); + + for list in &lists { + for (idx, hit) in list.iter().enumerate() { + let rank = idx + 1; + let contribution = 1.0 / (RRF_K + rank as f32); + let entry = fused + .entry(hit.frame_id) + .or_insert_with(|| (0.0, hit.clone())); + + // Keep the hit with more matches or earlier rank as the representative. + if hit.matches > entry.1.matches + || (hit.matches == entry.1.matches && rank < entry.1.rank) + { + entry.1 = hit.clone(); + } + entry.0 += contribution; + } + } + + let mut combined: Vec<(u64, f32, SearchHit)> = fused + .into_iter() + .map(|(id, (score, hit))| (id, score, hit)) + .collect(); + + combined.sort_by(|a, b| { + b.1.partial_cmp(&a.1) + .unwrap_or(std::cmp::Ordering::Equal) + .then(a.2.rank.cmp(&b.2.rank)) + }); + + let mut result = Vec::new(); + for (_id, score, mut hit) in combined.into_iter().take(target.max(1)) { + hit.score = Some(score); + result.push(hit); + } + + for (idx, hit) in result.iter_mut().enumerate() { + hit.rank = idx + 1; + } + + Some(result) +} + +/// Promote corrections to the top of the hit list. +/// Corrections are user-provided facts that should override older information. +/// The MOST RECENT correction takes priority (sorted by timestamp, newest first). +fn promote_corrections(memvid: &mut Memvid, hits: &mut Vec) -> Result<()> { + if hits.is_empty() { + return Ok(()); + } + + // Find corrections with their timestamps and boost factors + // (idx, timestamp, boost) + let mut corrections: Vec<(usize, i64, f32)> = Vec::new(); + for (idx, hit) in hits.iter().enumerate() { + // Check if this is a correction by looking at the URI + if hit.uri.contains("mv2://correction/") { + if let Ok(frame) = memvid.frame_by_id(hit.frame_id) { + let boost = frame + .extra_metadata + .get("memvid.correction.boost") + .and_then(|v| v.parse::().ok()) + .unwrap_or(2.0); + corrections.push((idx, frame.timestamp, boost)); + } + } + } + + if corrections.is_empty() { + return Ok(()); + } + + // Sort corrections by timestamp DESC (newest first), then by boost DESC + corrections.sort_by(|a, b| { + b.1.cmp(&a.1) // timestamp descending (newest first) + .then_with(|| b.2.partial_cmp(&a.2).unwrap_or(std::cmp::Ordering::Equal)) + // boost descending + }); + + tracing::debug!( + "promoting {} corrections to top of hit list (newest first)", + corrections.len() + ); + + // Reorder: corrections first (newest first), then other hits + let mut reordered: Vec = Vec::with_capacity(hits.len()); + let mut seen: HashSet = HashSet::new(); + + // Add corrections first (newest first) + for (idx, _ts, _boost) in &corrections { + reordered.push(hits[*idx].clone()); + seen.insert(*idx); + } + + // Add remaining hits + for (idx, hit) in hits.iter().enumerate() { + if !seen.contains(&idx) { + reordered.push(hit.clone()); + } + } + + *hits = reordered; + Ok(()) +} + +/// Promote earliest/latest hits into the visible context so update/recency questions see both ends. +/// Uses `content_dates` for temporal ordering (dates extracted from document content), +/// falling back to frame.timestamp (ingestion time) if no content dates are available. +#[cfg(feature = "lex")] +fn promote_temporal_extremes( + memvid: &mut Memvid, + hits: &mut Vec, + include_earliest: bool, +) -> Result<()> { + use crate::memvid::search::parse_content_date_to_timestamp; + + if hits.len() < 2 { + return Ok(()); + } + + let mut with_ts: Vec<(usize, i64, u64)> = Vec::new(); + for (idx, hit) in hits.iter().enumerate() { + if let Ok(frame) = memvid.frame_by_id(hit.frame_id) { + // Prefer content_dates (dates from document content) over frame.timestamp (ingestion time) + // This ensures documents about recent events rank higher even if ingested at the same time + let effective_ts = + parse_content_date_to_timestamp(&frame.content_dates).unwrap_or(frame.timestamp); + with_ts.push((idx, effective_ts, hit.frame_id)); + } + } + + if with_ts.len() < 2 { + return Ok(()); + } + + with_ts.sort_by_key(|(_, ts, _)| *ts); + let earliest_id = with_ts.first().map(|(_, _, id)| *id); + let latest_id = with_ts.last().map(|(_, _, id)| *id); + + let mut priority: Vec = Vec::new(); + if include_earliest { + if let Some(id) = earliest_id { + priority.push(id); + } + } + if let Some(id) = latest_id { + if !priority.contains(&id) { + priority.push(id); + } + } + + if priority.is_empty() { + return Ok(()); + } + + let mut reordered: Vec = Vec::with_capacity(hits.len()); + let mut seen: HashSet = HashSet::new(); + + for id in priority { + if let Some(pos) = hits.iter().position(|hit| hit.frame_id == id) { + if seen.insert(id) { + reordered.push(hits[pos].clone()); + } + } + } + + for hit in hits.iter() { + if seen.insert(hit.frame_id) { + reordered.push(hit.clone()); + } + } + + for (idx, hit) in reordered.iter_mut().enumerate() { + hit.rank = idx + 1; + } + + *hits = reordered; + Ok(()) +} + +#[cfg(test)] +mod tests { + use super::{build_disjunctive_query, lexical_fallback_query, sanitize_question_for_lexical}; + + #[test] + fn sanitize_question_strips_trailing_punctuation() { + let sanitized = sanitize_question_for_lexical("Safari appears?"); + assert_eq!(sanitized, "Safari appears"); + } + + #[test] + fn sanitize_preserves_field_queries() { + let sanitized = sanitize_question_for_lexical("tag:security Safari updates!"); + assert_eq!(sanitized, "tag:security Safari updates"); + } + + #[test] + fn sanitize_removes_stopwords_when_possible() { + let sanitized = sanitize_question_for_lexical("How much is the Header Checksum?"); + assert_eq!(sanitized, "Header Checksum"); + } + + #[test] + fn fallback_prefers_proper_noun() { + let fallback = lexical_fallback_query("How many times does Safari appears?"); + assert_eq!(fallback.as_deref(), Some("Safari")); + } + + #[test] + fn fallback_skips_stopwords() { + let fallback = lexical_fallback_query("what is the index size"); + assert_eq!(fallback.as_deref(), Some("index")); + } + + #[test] + fn disjunctive_query_deduplicates_tokens() { + let tokens = vec![ + "header".to_string(), + "checksum".to_string(), + "header".to_string(), + ]; + let query = build_disjunctive_query(&tokens).expect("query"); + assert_eq!(query, "checksum OR header"); + } +} diff --git a/src/memvid/audit.rs b/src/memvid/audit.rs new file mode 100644 index 0000000..3f88ec8 --- /dev/null +++ b/src/memvid/audit.rs @@ -0,0 +1,328 @@ +//! Audit functionality for generating provenance reports. +//! +//! This module provides the `audit` method on `Memvid` that generates +//! structured audit reports showing all sources used to answer a question. + +use std::time::{SystemTime, UNIX_EPOCH}; + +use crate::memvid::lifecycle::Memvid; +use crate::types::ask::{AskMode, AskRequest}; +use crate::types::audit::{AuditOptions, AuditReport, SourceSpan}; +use crate::{Result, VecEmbedder}; + +/// Default top-k for audit queries. +const DEFAULT_AUDIT_TOP_K: usize = 10; +/// Default snippet length for audit reports. +const DEFAULT_AUDIT_SNIPPET_CHARS: usize = 500; +/// Audit report version. +const AUDIT_REPORT_VERSION: &str = "1.0"; + +#[cfg(feature = "lex")] +impl Memvid { + /// Generate an audit report for a question. + /// + /// This method performs a retrieval-augmented query and returns a structured + /// report containing all sources used to generate the answer, along with + /// provenance metadata for compliance and debugging. + /// + /// # Arguments + /// + /// * `question` - The question to audit. + /// * `options` - Optional configuration for the audit query. + /// * `embedder` - Optional embedder for semantic search. + /// + /// # Returns + /// + /// An `AuditReport` containing the question, answer, and all source spans. + /// + /// # Example + /// + /// ```ignore + /// let report = mem.audit("What is Memvid?", None, None::<&dyn VecEmbedder>)?; + /// println!("{}", report.to_text()); + /// ``` + pub fn audit( + &mut self, + question: &str, + options: Option, + embedder: Option<&E>, + ) -> Result + where + E: VecEmbedder + ?Sized, + { + let opts = options.unwrap_or_default(); + let top_k = opts.top_k.unwrap_or(DEFAULT_AUDIT_TOP_K); + let snippet_chars = opts.snippet_chars.unwrap_or(DEFAULT_AUDIT_SNIPPET_CHARS); + let mode = opts.mode.unwrap_or(AskMode::Hybrid); + + let request = AskRequest { + question: question.to_string(), + top_k, + snippet_chars, + uri: None, + scope: opts.scope.clone(), + cursor: None, + start: opts.start, + end: opts.end, + #[cfg(feature = "temporal_track")] + temporal: None, + context_only: false, + mode, + as_of_frame: None, + as_of_ts: None, + adaptive: None, + acl_context: None, + acl_enforcement_mode: crate::types::AclEnforcementMode::Audit, + }; + + let response = self.ask(request, embedder)?; + + // Build source spans from the response + let mut sources: Vec = Vec::new(); + let mut notes: Vec = Vec::new(); + + for (idx, citation) in response.citations.iter().enumerate() { + // Get the corresponding hit for additional context + let hit = response + .retrieval + .hits + .iter() + .find(|h| h.frame_id == citation.frame_id); + + // Get frame metadata for rich source information + let frame_data = self.frame_by_id(citation.frame_id).ok(); + + let snippet = if opts.include_snippets { + hit.map(|h| h.chunk_text.clone().unwrap_or_else(|| h.text.clone())) + } else { + None + }; + + let source = SourceSpan { + index: idx + 1, + frame_id: citation.frame_id, + uri: citation.uri.clone(), + title: frame_data.as_ref().and_then(|f| f.title.clone()), + chunk_range: citation.chunk_range, + score: citation.score, + tags: frame_data + .as_ref() + .map(|f| f.tags.clone()) + .unwrap_or_default(), + labels: frame_data + .as_ref() + .map(|f| f.labels.clone()) + .unwrap_or_default(), + frame_timestamp: frame_data.as_ref().map(|f| f.timestamp), + content_dates: frame_data + .as_ref() + .map(|f| f.content_dates.clone()) + .unwrap_or_default(), + snippet, + }; + + sources.push(source); + } + + // Add notes about retrieval behavior + if response.retriever != response.mode.into() { + notes.push(format!( + "Retriever fell back from {:?} to {:?}", + response.mode, response.retriever + )); + } + + let generated_at = SystemTime::now() + .duration_since(UNIX_EPOCH) + .map(|d| d.as_secs() as i64) + .unwrap_or(0); + + Ok(AuditReport { + version: AUDIT_REPORT_VERSION.to_string(), + generated_at, + question: question.to_string(), + answer: response.answer, + mode: response.mode, + retriever: response.retriever, + sources, + total_hits: response.retrieval.total_hits, + stats: response.stats, + notes, + }) + } + + /// Build source spans from an existing ask response. + /// + /// This is useful when you've already called `ask()` and want to extract + /// structured source information without re-running the query. + pub fn build_sources_from_response( + &mut self, + response: &crate::AskResponse, + include_snippets: bool, + ) -> Result> { + let mut sources: Vec = Vec::new(); + + for (idx, citation) in response.citations.iter().enumerate() { + let hit = response + .retrieval + .hits + .iter() + .find(|h| h.frame_id == citation.frame_id); + + let frame_data = self.frame_by_id(citation.frame_id).ok(); + + let snippet = if include_snippets { + hit.map(|h| h.chunk_text.clone().unwrap_or_else(|| h.text.clone())) + } else { + None + }; + + let source = SourceSpan { + index: idx + 1, + frame_id: citation.frame_id, + uri: citation.uri.clone(), + title: frame_data.as_ref().and_then(|f| f.title.clone()), + chunk_range: citation.chunk_range, + score: citation.score, + tags: frame_data + .as_ref() + .map(|f| f.tags.clone()) + .unwrap_or_default(), + labels: frame_data + .as_ref() + .map(|f| f.labels.clone()) + .unwrap_or_default(), + frame_timestamp: frame_data.as_ref().map(|f| f.timestamp), + content_dates: frame_data + .as_ref() + .map(|f| f.content_dates.clone()) + .unwrap_or_default(), + snippet, + }; + + sources.push(source); + } + + Ok(sources) + } +} + +#[cfg(not(feature = "lex"))] +impl Memvid { + pub fn audit( + &mut self, + _question: &str, + _options: Option, + _embedder: Option<&E>, + ) -> Result + where + E: VecEmbedder + ?Sized, + { + Err(crate::MemvidError::LexNotEnabled) + } + + pub fn build_sources_from_response( + &mut self, + _response: &crate::AskResponse, + _include_snippets: bool, + ) -> Result> { + Err(crate::MemvidError::LexNotEnabled) + } +} + +// Convert AskMode to AskRetriever for comparison +impl From for crate::AskRetriever { + fn from(mode: AskMode) -> Self { + match mode { + AskMode::Lex => crate::AskRetriever::Lex, + AskMode::Sem => crate::AskRetriever::Semantic, + AskMode::Hybrid => crate::AskRetriever::Hybrid, + } + } +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::{PutOptions, run_serial_test}; + use tempfile::tempdir; + + #[test] + #[cfg(feature = "lex")] + fn test_audit_basic() { + run_serial_test(|| { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("audit.mv2"); + + let mut mem = Memvid::create(&path).expect("create"); + mem.enable_lex().expect("enable lex"); + + let options = PutOptions::builder() + .uri("mv2://docs/intro.md") + .title("Introduction to Memvid") + .push_tag("documentation") + .push_tag("intro") + .build(); + + mem.put_bytes_with_options( + b"Memvid is a single-file AI memory system that provides instant retrieval.", + options, + ) + .expect("put"); + mem.commit().expect("commit"); + + let report = mem + .audit::("What is Memvid?", None, None) + .expect("audit"); + + assert_eq!(report.version, "1.0"); + assert_eq!(report.question, "What is Memvid?"); + assert!(!report.sources.is_empty()); + + let source = &report.sources[0]; + assert_eq!(source.uri, "mv2://docs/intro.md"); + assert_eq!(source.title.as_deref(), Some("Introduction to Memvid")); + assert!(source.tags.contains(&"documentation".to_string())); + + // Test text output + let text = report.to_text(); + assert!(text.contains("MEMVID AUDIT REPORT")); + assert!(text.contains("What is Memvid?")); + + // Test markdown output + let md = report.to_markdown(); + assert!(md.contains("# Memvid Audit Report")); + assert!(md.contains("mv2://docs/intro.md")); + }); + } + + #[test] + #[cfg(feature = "lex")] + fn test_audit_with_snippets() { + run_serial_test(|| { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("audit_snippets.mv2"); + + let mut mem = Memvid::create(&path).expect("create"); + mem.enable_lex().expect("enable lex"); + + mem.put_bytes(b"Memvid provides fast semantic search capabilities.") + .expect("put"); + mem.commit().expect("commit"); + + let opts = AuditOptions { + include_snippets: true, + ..Default::default() + }; + + let report = mem + .audit::("semantic search", Some(opts), None) + .expect("audit"); + + if !report.sources.is_empty() { + let source = &report.sources[0]; + assert!(source.snippet.is_some()); + } + }); + } +} diff --git a/src/memvid/builder.rs b/src/memvid/builder.rs new file mode 100644 index 0000000..e80b94d --- /dev/null +++ b/src/memvid/builder.rs @@ -0,0 +1,480 @@ +#[cfg(feature = "parallel_segments")] +use std::{ + fs, + path::{Path, PathBuf}, +}; + +#[cfg(feature = "parallel_segments")] +use tracing::info; + +#[cfg(feature = "parallel_segments")] +use super::{ + lifecycle::Memvid, + segments::{LexSegmentArtifact, TimeSegmentArtifact, VecSegmentArtifact}, + workers::SegmentResult, +}; +#[cfg(feature = "parallel_segments")] +use crate::{ + MemvidError, Result, + types::{PutOptions, SegmentKind, SegmentSpan, SegmentStats, VecIndexManifest}, +}; + +#[cfg(feature = "parallel_segments")] +const DEFAULT_SEGMENT_TOKENS: usize = 2_048; +#[cfg(feature = "parallel_segments")] +const DEFAULT_SEGMENT_PAGES: usize = 4; +#[cfg(feature = "parallel_segments")] +const DEFAULT_MEMORY_CAP_BYTES: u64 = 4 * 1024 * 1024 * 1024; // 4 GiB +#[cfg(feature = "parallel_segments")] +const DEFAULT_QUEUE_DEPTH: usize = 64; + +#[cfg(feature = "parallel_segments")] +#[derive(Debug, Clone)] +pub struct BuildOpts { + pub segment_tokens: usize, + pub segment_pages: usize, + pub threads: usize, + pub zstd_level: i32, + pub memory_cap_bytes: u64, + pub queue_depth: usize, + pub vec_compression: crate::types::VectorCompression, +} + +#[cfg(feature = "parallel_segments")] +impl Default for BuildOpts { + fn default() -> Self { + Self { + segment_tokens: DEFAULT_SEGMENT_TOKENS, + segment_pages: DEFAULT_SEGMENT_PAGES, + threads: default_worker_threads(), + zstd_level: 3, + memory_cap_bytes: DEFAULT_MEMORY_CAP_BYTES, + queue_depth: DEFAULT_QUEUE_DEPTH, + vec_compression: crate::types::VectorCompression::None, + } + } +} + +#[cfg(feature = "parallel_segments")] +impl BuildOpts { + pub fn sanitize(&mut self) { + if self.segment_tokens == 0 { + self.segment_tokens = DEFAULT_SEGMENT_TOKENS; + } + if self.segment_pages == 0 { + self.segment_pages = DEFAULT_SEGMENT_PAGES; + } + if self.threads == 0 { + self.threads = default_worker_threads(); + } + if self.queue_depth == 0 { + self.queue_depth = DEFAULT_QUEUE_DEPTH; + } + if self.memory_cap_bytes == 0 { + self.memory_cap_bytes = DEFAULT_MEMORY_CAP_BYTES; + } + self.zstd_level = self.zstd_level.clamp(1, 9); + } +} + +#[cfg(feature = "parallel_segments")] +fn default_worker_threads() -> usize { + num_cpus::get().saturating_sub(1).max(1) +} + +/// Source bytes for pending parallel inputs. +#[cfg(feature = "parallel_segments")] +#[derive(Debug, Clone)] +pub enum ParallelPayload { + Path(PathBuf), + Bytes(Vec), +} + +/// Caller-specified payload + metadata for the parallel builder. +#[cfg(feature = "parallel_segments")] +#[derive(Debug, Clone)] +pub struct ParallelInput { + pub payload: ParallelPayload, + pub options: PutOptions, + /// Embedding for the parent document (used when no chunking or single embedding). + pub embedding: Option>, + /// Pre-computed embeddings for each chunk. When provided, enables semantic search + /// on all child chunks, not just the parent frame. + pub chunk_embeddings: Option>>, +} + +#[cfg(feature = "parallel_segments")] +impl Memvid { + pub fn put_parallel

(&mut self, sources: &[P], mut opts: BuildOpts) -> Result<()> + where + P: AsRef, + { + opts.sanitize(); + if sources.is_empty() { + return Ok(()); + } + let mut inputs = Vec::with_capacity(sources.len()); + for source in sources { + inputs.push(ParallelInput { + payload: ParallelPayload::Path(source.as_ref().to_path_buf()), + options: PutOptions::default(), + embedding: None, + chunk_embeddings: None, + }); + } + self.put_parallel_inputs(&inputs, opts).map(|_| ()) + } + + /// Ingests caller-supplied payloads (plus metadata) and seals them via the parallel builder. + pub fn put_parallel_inputs( + &mut self, + inputs: &[ParallelInput], + mut opts: BuildOpts, + ) -> Result> { + opts.sanitize(); + if inputs.is_empty() { + info!( + ingested_documents = 0, + "parallel ingestion enqueued documents" + ); + self.commit_parallel(opts)?; + return Ok(Vec::new()); + } + let mut seqs = Vec::with_capacity(inputs.len()); + for input in inputs { + let seq = match &input.payload { + ParallelPayload::Path(path) => { + let bytes = fs::read(path)?; + self.ingest_parallel_bytes(&bytes, input)? + } + ParallelPayload::Bytes(bytes) => self.ingest_parallel_bytes(bytes, input)?, + }; + seqs.push(seq); + } + info!( + ingested_documents = seqs.len(), + "parallel ingestion enqueued documents" + ); + self.commit_parallel(opts)?; + Ok(seqs) + } + + pub fn commit_parallel(&mut self, mut opts: BuildOpts) -> Result<()> { + opts.sanitize(); + self.commit_parallel_with_opts(&opts) + } + + fn ingest_parallel_bytes(&mut self, bytes: &[u8], input: &ParallelInput) -> Result { + // If chunk embeddings are provided, use put_with_chunk_embeddings for full semantic coverage + if let Some(chunk_embeddings) = input.chunk_embeddings.as_ref() { + self.put_with_chunk_embeddings( + bytes, + input.embedding.clone(), + chunk_embeddings.clone(), + input.options.clone(), + ) + } else if let Some(embedding) = input.embedding.as_ref() { + // Only parent embedding - use legacy path (chunks won't be searchable via semantic) + self.put_with_embedding_and_options(bytes, embedding.clone(), input.options.clone()) + } else { + self.put_bytes_with_options(bytes, input.options.clone()) + } + } + + pub(crate) fn append_parallel_segments(&mut self, results: Vec) -> Result<()> { + if results.is_empty() { + return Ok(()); + } + let mut appended_any = false; + for result in results { + let span = result.span; + if let Some(segment) = result.lex { + self.append_parallel_lex_segment(&segment.artifact, span, segment.stats)?; + appended_any = true; + } + if let Some(segment) = result.vec { + self.append_parallel_vec_segment(&segment.artifact, span, segment.stats)?; + appended_any = true; + } + if let Some(segment) = result.time { + self.append_parallel_time_segment(&segment.artifact, span, segment.stats)?; + appended_any = true; + } + } + if appended_any { + self.dirty = true; + if let Some(wal) = self.manifest_wal.as_mut() { + wal.flush()?; + } + } + Ok(()) + } + + fn append_parallel_lex_segment( + &mut self, + artifact: &LexSegmentArtifact, + span: Option, + stats: SegmentStats, + ) -> Result<()> { + let segment_id = self.toc.segment_catalog.next_segment_id; + let mut descriptor = self.append_lex_segment(artifact, segment_id)?; + if let Some(span) = span { + Self::decorate_segment_common(&mut descriptor.common, span); + } + let descriptor_for_manifest = descriptor.clone(); + self.toc.segment_catalog.lex_segments.push(descriptor); + self.record_index_segment(SegmentKind::Lexical, descriptor_for_manifest.common, stats)?; + self.toc.segment_catalog.version = self.toc.segment_catalog.version.max(1); + self.toc.segment_catalog.next_segment_id = segment_id.saturating_add(1); + self.lex_enabled = true; + Ok(()) + } + + fn append_parallel_vec_segment( + &mut self, + artifact: &VecSegmentArtifact, + span: Option, + stats: SegmentStats, + ) -> Result<()> { + if let Some(existing_dim) = self.effective_vec_index_dimension()? { + if existing_dim != artifact.dimension { + return Err(MemvidError::VecDimensionMismatch { + expected: existing_dim, + actual: artifact.dimension as usize, + }); + } + } + + let segment_id = self.toc.segment_catalog.next_segment_id; + let mut descriptor = self.append_vec_segment(artifact, segment_id)?; + if let Some(span) = span { + Self::decorate_segment_common(&mut descriptor.common, span); + } + let descriptor_for_manifest = descriptor.clone(); + self.toc + .segment_catalog + .vec_segments + .push(descriptor.clone()); + tracing::info!( + segment_id, + vec_count = artifact.vector_count, + offset = descriptor.common.bytes_offset, + length = descriptor.common.bytes_length, + catalog_vec_segments = self.toc.segment_catalog.vec_segments.len(), + "append_parallel_vec_segment: pushed descriptor to catalog" + ); + self.record_index_segment(SegmentKind::Vector, descriptor_for_manifest.common, stats)?; + self.toc.segment_catalog.version = self.toc.segment_catalog.version.max(1); + self.toc.segment_catalog.next_segment_id = segment_id.saturating_add(1); + + // Keep the global vec manifest in sync for auto-detection and stats. + // Segment-based vector storage uses `bytes_length == 0` as a placeholder. + if self.toc.indexes.vec.is_none() { + let empty_offset = self.data_end; + let empty_checksum = *b"\xe3\xb0\xc4\x42\x98\xfc\x1c\x14\x9a\xfb\xf4\xc8\x99\x6f\xb9\x24\ + \x27\xae\x41\xe4\x64\x9b\x93\x4c\xa4\x95\x99\x1b\x78\x52\xb8\x55"; + self.toc.indexes.vec = Some(VecIndexManifest { + vector_count: 0, + dimension: 0, + bytes_offset: empty_offset, + bytes_length: 0, + checksum: empty_checksum, + compression_mode: self.vec_compression.clone(), + model: None, + }); + } + if let Some(manifest) = self.toc.indexes.vec.as_mut() { + if manifest.dimension == 0 { + manifest.dimension = artifact.dimension; + } + if manifest.bytes_length == 0 { + manifest.vector_count = manifest.vector_count.saturating_add(artifact.vector_count); + manifest.compression_mode = artifact.compression.clone(); + } + } + + self.vec_enabled = true; + Ok(()) + } + + fn append_parallel_time_segment( + &mut self, + artifact: &TimeSegmentArtifact, + span: Option, + stats: SegmentStats, + ) -> Result<()> { + let segment_id = self.toc.segment_catalog.next_segment_id; + let mut descriptor = self.append_time_segment(artifact, segment_id)?; + if let Some(span) = span { + Self::decorate_segment_common(&mut descriptor.common, span); + } + let descriptor_for_manifest = descriptor.clone(); + self.toc.segment_catalog.time_segments.push(descriptor); + self.record_index_segment(SegmentKind::Time, descriptor_for_manifest.common, stats)?; + self.toc.segment_catalog.version = self.toc.segment_catalog.version.max(1); + self.toc.segment_catalog.next_segment_id = segment_id.saturating_add(1); + Ok(()) + } +} + +#[cfg(all(test, feature = "parallel_segments"))] +mod tests { + use super::*; + use crate::{MemvidError, memvid::lifecycle::Memvid, run_serial_test}; + use tempfile::tempdir; + + #[test] + fn parallel_commit_persists_segments() -> Result<()> { + run_serial_test(|| -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("parallel.mv2"); + let mut mem = Memvid::create(&path)?; + mem.enable_lex()?; + mem.enable_vec()?; + mem.put_bytes(b"hello world")?; + mem.put_bytes(b"another document")?; + // Use minimal segment_tokens to ensure segments are created with small test data + let mut opts = BuildOpts::default(); + opts.segment_tokens = 2; // Minimal threshold for 2 tiny documents + mem.commit_parallel(opts)?; + assert!( + !mem.toc.segment_catalog.index_segments.is_empty(), + "parallel commit should emit segments" + ); + if let Some(wal) = mem.manifest_wal.as_ref() { + assert!( + wal.replay()?.is_empty(), + "manifest wal should be flushed after commit" + ); + } + drop(mem); + + let reopened = Memvid::open(&path)?; + assert!( + !reopened.toc.segment_catalog.index_segments.is_empty(), + "segments persist after reopen" + ); + Ok(()) + }) + } + + #[test] + fn parallel_vec_manifest_persists_dimension_and_count() -> Result<()> { + run_serial_test(|| -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("parallel_vec.mv2"); + let mut mem = Memvid::create(&path)?; + mem.enable_vec()?; + + let inputs = vec![ParallelInput { + payload: ParallelPayload::Bytes(b"hello world".to_vec()), + options: PutOptions::default(), + embedding: Some(vec![0.0f32; 1536]), + chunk_embeddings: None, + }]; + + let mut opts = BuildOpts::default(); + opts.segment_tokens = 2; + mem.put_parallel_inputs(&inputs, opts)?; + + let manifest = mem.toc.indexes.vec.as_ref().expect("vec manifest"); + assert_eq!(manifest.dimension, 1536); + assert!(manifest.vector_count > 0); + + drop(mem); + + let reopened = Memvid::open_read_only(&path)?; + assert_eq!(reopened.vec_index_dimension(), Some(1536)); + assert_eq!(reopened.effective_vec_index_dimension()?, Some(1536)); + Ok(()) + }) + } + + #[test] + fn effective_vec_dimension_falls_back_to_segments_when_manifest_zero() -> Result<()> { + run_serial_test(|| -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("segment_dim.mv2"); + let mut mem = Memvid::create(&path)?; + mem.enable_vec()?; + + let inputs = vec![ParallelInput { + payload: ParallelPayload::Bytes(b"hello world".to_vec()), + options: PutOptions::default(), + embedding: Some(vec![0.0f32; 1536]), + chunk_embeddings: None, + }]; + + let mut opts = BuildOpts::default(); + opts.segment_tokens = 2; + mem.put_parallel_inputs(&inputs, opts)?; + + // Simulate older files that kept a placeholder vec manifest (dimension=0) even when + // vector segments exist. Effective detection should still work. + mem.toc + .indexes + .vec + .as_mut() + .expect("vec manifest") + .dimension = 0; + mem.rewrite_toc_footer()?; + mem.header.toc_checksum = mem.toc.toc_checksum; + crate::persist_header(&mut mem.file, &mem.header)?; + mem.file.sync_all()?; + + drop(mem); + + let reopened = Memvid::open_read_only(&path)?; + assert_eq!(reopened.vec_index_dimension(), None); + assert_eq!(reopened.effective_vec_index_dimension()?, Some(1536)); + Ok(()) + }) + } + + #[test] + fn vec_search_with_embedding_rejects_mismatch_for_segment_only_manifest_zero() -> Result<()> { + run_serial_test(|| -> Result<()> { + let dir = tempdir()?; + let path = dir.path().join("segment_mismatch.mv2"); + let mut mem = Memvid::create(&path)?; + mem.enable_vec()?; + + let inputs = vec![ParallelInput { + payload: ParallelPayload::Bytes(b"hello world".to_vec()), + options: PutOptions::default(), + embedding: Some(vec![0.0f32; 1536]), + chunk_embeddings: None, + }]; + + let mut opts = BuildOpts::default(); + opts.segment_tokens = 2; + mem.put_parallel_inputs(&inputs, opts)?; + + mem.toc + .indexes + .vec + .as_mut() + .expect("vec manifest") + .dimension = 0; + mem.rewrite_toc_footer()?; + mem.header.toc_checksum = mem.toc.toc_checksum; + crate::persist_header(&mut mem.file, &mem.header)?; + mem.file.sync_all()?; + + drop(mem); + + let mut reopened = Memvid::open_read_only(&path)?; + let err = reopened + .vec_search_with_embedding("hello", &vec![0.0f32; 384], 5, 240, None) + .unwrap_err(); + match err { + MemvidError::VecDimensionMismatch { expected, actual } => { + assert_eq!(expected, 1536); + assert_eq!(actual, 384); + } + other => panic!("expected VecDimensionMismatch, got {other:?}"), + } + Ok(()) + }) + } +} diff --git a/src/memvid/chunks.rs b/src/memvid/chunks.rs new file mode 100644 index 0000000..3b9f191 --- /dev/null +++ b/src/memvid/chunks.rs @@ -0,0 +1,373 @@ +//! Text chunk planning utilities shared by frame ingestion and preview code. +//! +//! This module provides both naive character-based chunking and structure-aware +//! chunking that preserves tables, code blocks, and other semantic units. +//! +//! Structure-aware chunking is automatically used when documents contain: +//! - Markdown tables (| ... |) +//! - Code blocks (```) +//! +//! Tables are split between rows with header propagation to ensure each chunk +//! maintains context about the table structure. + +use crate::{ + normalize_text, + structure::{ChunkingOptions, StructuralChunker, detect_structure}, + types::{TextChunkManifest, TextChunkRange}, +}; + +pub(crate) const DEFAULT_CHUNK_CHARS: usize = 1_200; +pub(crate) const CHUNK_MIN_CHARS: usize = DEFAULT_CHUNK_CHARS * 2; + +#[derive(Debug, Clone)] +pub(crate) struct DocumentChunkPlan { + pub manifest: TextChunkManifest, + pub chunks: Vec, +} + +pub(crate) fn plan_document_chunks(raw: &[u8]) -> Option { + let Ok(text) = String::from_utf8(raw.to_vec()) else { + return None; + }; + plan_text_chunks(&text) +} + +/// Plan chunks from already-extracted text (e.g., from PDF extraction). +/// This is used when the raw payload isn't valid UTF-8 but we have extracted text. +/// +/// Automatically uses structure-aware chunking when tables or code blocks are +/// detected, ensuring that: +/// - Tables are split between rows (not mid-row) +/// - Table headers are propagated to continuation chunks +/// - Code blocks are kept whole when possible +pub(crate) fn plan_text_chunks(text: &str) -> Option { + let normalized = normalize_text(text, usize::MAX)?.text; + + if normalized.chars().count() < CHUNK_MIN_CHARS { + return None; + } + + // Check for structural elements (tables, code blocks) + let doc = detect_structure(&normalized); + + if doc.has_structure() { + // Use structure-aware chunking for documents with tables/code + plan_structural_chunks(&normalized, &doc) + } else { + // Fall back to naive chunking for plain text (faster) + plan_naive_chunks(&normalized) + } +} + +/// Structure-aware chunking that preserves tables and code blocks. +fn plan_structural_chunks( + text: &str, + doc: &crate::structure::StructuredDocument, +) -> Option { + let options = ChunkingOptions { + max_chars: DEFAULT_CHUNK_CHARS, + ..Default::default() + }; + + let chunker = StructuralChunker::new(options); + let result = chunker.chunk(doc); + + if result.chunks.len() <= 1 { + return None; + } + + // Convert structural chunks to the format expected by ingestion + let chunks: Vec = result.chunks.iter().map(|c| c.text.clone()).collect(); + + // Build manifest with accurate character ranges + let manifest = build_manifest_from_structural(&result.chunks, text); + + Some(DocumentChunkPlan { manifest, chunks }) +} + +/// Build `TextChunkManifest` from structural chunks. +fn build_manifest_from_structural( + chunks: &[crate::structure::StructuredChunk], + text: &str, +) -> TextChunkManifest { + let chunk_ranges: Vec = chunks + .iter() + .map(|chunk| { + // Use the character offsets from the structural chunk + // Fall back to estimating if offsets seem off + let start = chunk.char_start; + let end = chunk.char_end.min(text.chars().count()); + TextChunkRange { start, end } + }) + .collect(); + + TextChunkManifest { + chunk_chars: DEFAULT_CHUNK_CHARS, + chunks: chunk_ranges, + } +} + +/// Naive character-based chunking (original implementation). +fn plan_naive_chunks(text: &str) -> Option { + let manifest = build_chunk_manifest(text, DEFAULT_CHUNK_CHARS)?; + if manifest.chunks.len() <= 1 { + return None; + } + let chunks = manifest + .chunks + .iter() + .map(|range| slice_text_range(text, range)) + .collect(); + Some(DocumentChunkPlan { manifest, chunks }) +} + +fn build_chunk_manifest(text: &str, chunk_chars: usize) -> Option { + if chunk_chars == 0 { + return None; + } + let mut char_positions: Vec<(usize, char)> = text.char_indices().collect(); + // Ensure we have an entry representing the end of the string for indexing convenience. + char_positions.push((text.len(), '\0')); + let total_chars = char_positions.len() - 1; + if total_chars <= chunk_chars { + return None; + } + + let mut chunks: Vec = Vec::new(); + let mut start = 0usize; + let slack = (chunk_chars / 5).max(32); + + while start < total_chars { + let target = (start + chunk_chars).min(total_chars); + let end = choose_chunk_boundary(&char_positions, start, target, total_chars, slack); + if end <= start { + // Fallback to progress by at least one character to avoid infinite loops. + let fallback_end = (start + chunk_chars).min(total_chars); + chunks.push(TextChunkRange { + start, + end: fallback_end, + }); + start = fallback_end; + } else { + chunks.push(TextChunkRange { start, end }); + start = end; + } + } + + Some(TextChunkManifest { + chunk_chars, + chunks, + }) +} + +fn slice_text_range(text: &str, range: &TextChunkRange) -> String { + if range.start >= range.end { + return String::new(); + } + text.chars() + .skip(range.start) + .take(range.end - range.start) + .collect() +} + +fn choose_chunk_boundary( + chars: &[(usize, char)], + start: usize, + target: usize, + total: usize, + slack: usize, +) -> usize { + if target >= total { + return total; + } + + let forward_limit = (target + slack).min(total); + let mut candidates: Vec = Vec::new(); + + for idx in target..forward_limit { + let ch = chars[idx].1; + if ch == '\n' { + return idx + 1; + } + if is_sentence_terminal(ch) { + candidates.push(idx + 1); + } + } + + for idx in (start..target).rev() { + let ch = chars[idx].1; + if ch == '\n' { + return idx + 1; + } + if is_sentence_terminal(ch) { + candidates.push(idx + 1); + break; + } + } + + if let Some(choice) = candidates + .into_iter() + .min_by_key(|pos| pos.saturating_sub(target)) + { + return choice; + } + + for idx in target..forward_limit { + if chars[idx].1.is_whitespace() { + return idx + 1; + } + } + + for idx in (start..target).rev() { + if chars[idx].1.is_whitespace() { + return idx + 1; + } + } + + target +} + +fn is_sentence_terminal(ch: char) -> bool { + matches!(ch, '.' | '!' | '?') +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn splits_long_text_into_chunks() { + let text = "Lorem ipsum dolor sit amet. ".repeat(200); + let plan = plan_document_chunks(text.as_bytes()).expect("chunk plan"); + assert!(plan.manifest.chunks.len() > 1); + assert_eq!(plan.manifest.chunk_chars, DEFAULT_CHUNK_CHARS); + assert_eq!(plan.chunks.len(), plan.manifest.chunks.len()); + } + + #[test] + fn structural_chunking_preserves_table_headers() { + // Create a document with a large table + let mut text = String::from("# Report\n\nThis is an introduction.\n\n"); + text.push_str("| Name | Department | Salary | Start Date |\n"); + text.push_str("|------|------------|--------|------------|\n"); + + // Add many rows to ensure chunking + for i in 1..=100 { + text.push_str(&format!( + "| Employee {} | Dept {} | ${} | 2024-{:02}-01 |\n", + i, + (i % 5) + 1, + 50000 + (i * 1000), + (i % 12) + 1 + )); + } + text.push_str("\n\nThis is the conclusion.\n"); + + let plan = plan_document_chunks(text.as_bytes()).expect("chunk plan"); + + // Should have multiple chunks + assert!( + plan.chunks.len() > 1, + "Large table should produce multiple chunks" + ); + + // Each chunk containing table data should have headers + let table_chunks: Vec<_> = plan + .chunks + .iter() + .filter(|c| c.contains("| Name |") || c.contains("| Employee")) + .collect(); + + assert!( + table_chunks.len() > 1, + "Table should be split into multiple chunks" + ); + + // Each table chunk should contain headers + for chunk in &table_chunks { + if chunk.contains("| Employee") { + assert!( + chunk.contains("| Name |") || chunk.contains("Name |"), + "Table chunk should contain headers: {}", + &chunk[..chunk.len().min(200)] + ); + } + } + } + + #[test] + fn structural_chunking_keeps_small_table_whole() { + let text = r"# Small Report + +Introduction paragraph. + +| Item | Price | +|------|-------| +| Apple | $1 | +| Orange | $2 | + +Conclusion. +" + .repeat(50); // Repeat to meet minimum size + + let plan = plan_document_chunks(text.as_bytes()).expect("chunk plan"); + + // Small tables should not be split mid-row + for chunk in &plan.chunks { + // If a chunk contains a table row, it should be complete + if chunk.contains("| Apple |") { + // The row should be complete (not cut mid-way) + assert!( + chunk.contains("| $1 |"), + "Table row should not be split mid-way" + ); + } + } + } + + #[test] + fn structural_chunking_detects_code_blocks() { + let text = r"# Code Example + +Here is some code: + +```python +def process_data(items): + result = [] + for item in items: + if item.is_valid(): + result.append(item.transform()) + return result + +class DataProcessor: + def __init__(self): + self.data = [] + + def add(self, item): + self.data.append(item) +``` + +More explanation here. " + .repeat(20); + + let plan = plan_document_chunks(text.as_bytes()).expect("chunk plan"); + + // Code blocks should be kept together when possible + // Check that we have at least one chunk with a complete code block + let has_complete_block = plan + .chunks + .iter() + .any(|chunk| chunk.contains("```python") && chunk.contains("self.data.append")); + + assert!( + has_complete_block, + "At least one chunk should contain a complete code block" + ); + } + + #[test] + fn skips_short_text() { + let text = "short snippet"; + assert!(plan_document_chunks(text.as_bytes()).is_none()); + } +} diff --git a/src/memvid/doctor.rs b/src/memvid/doctor.rs new file mode 100644 index 0000000..57f75b8 --- /dev/null +++ b/src/memvid/doctor.rs @@ -0,0 +1,1687 @@ +// Safe unwrap/expect: Option takes with immediate value replacement. +#![allow(clippy::unwrap_used, clippy::expect_used)] +use std::cell::Cell; +use std::cmp::min; +use std::fs::OpenOptions; +use std::io::{Read, Seek, SeekFrom, Write}; +use std::path::{Path, PathBuf}; +use std::time::Instant; + +use crate::error::{MemvidError, Result}; +use crate::io::header::HeaderCodec; +use crate::io::time_index::{calculate_checksum as time_index_checksum, read_track}; +use crate::io::wal::EmbeddedWal; +use crate::memvid::lifecycle::{Memvid, ensure_single_file, read_toc, recover_toc}; +use crate::types::{ + DOCTOR_PLAN_VERSION, DoctorActionDetail, DoctorActionKind, DoctorActionPlan, + DoctorActionReport, DoctorActionStatus, DoctorFinding, DoctorFindingCode, DoctorMetrics, + DoctorOptions, DoctorPhaseDuration, DoctorPhaseKind, DoctorPhasePlan, DoctorPhaseReport, + DoctorPhaseStatus, DoctorPlan, DoctorReport, DoctorStatus, VerificationReport, + VerificationStatus, +}; +use crate::types::{Header, Toc}; + +#[cfg(feature = "lex")] +use crate::lex::LexIndex; +use crate::vec::VecIndex; + +// Thread-local flag to control doctor debug logging +thread_local! { + static DOCTOR_QUIET: Cell = const { Cell::new(false) }; +} + +/// Set quiet mode for doctor logging (suppresses debug output when true). +fn set_doctor_quiet(quiet: bool) { + DOCTOR_QUIET.with(|q| q.set(quiet)); +} + +/// Check if doctor logging is suppressed. +fn is_doctor_quiet() -> bool { + DOCTOR_QUIET.with(std::cell::Cell::get) +} + +/// Conditionally print doctor debug messages based on quiet flag. +macro_rules! doctor_log { + ($($arg:tt)*) => { + if !is_doctor_quiet() { + println!($($arg)*); + } + }; +} + +#[derive(Default)] +struct IndexProbe { + needs_time: bool, + needs_lex: bool, + needs_vec: bool, + time_expected_entries: u64, + lex_expected_docs: u64, + vec_expected_vectors: u64, + vec_dimension: u32, +} + +struct PlanProbe { + header: Option

, + toc: Option, + toc_offset: Option, + toc_recovered: bool, + findings: Vec, + wal_pending: usize, + wal_from_sequence: u64, + wal_to_sequence: u64, + index: IndexProbe, + file_len: u64, +} + +pub(crate) fn doctor_plan(path: &Path, options: DoctorOptions) -> Result { + doctor_log!( + "doctor: planning for {:?} (options: rebuild_time={}, rebuild_lex={}, rebuild_vec={})", + path, + options.rebuild_time_index, + options.rebuild_lex_index, + options.rebuild_vec_index, + ); + ensure_single_file(path)?; + let planner = DoctorPlanner::new(path.to_path_buf(), options); + planner.compute() +} + +/// Attempt to recover from WAL corruption by rebuilding a clean WAL +fn try_recover_from_wal_corruption(path: &Path) -> Result { + use fs2::FileExt; + + doctor_log!("doctor: opening file for WAL recovery"); + let mut file = OpenOptions::new().read(true).write(true).open(path)?; + + // Acquire exclusive lock + file.lock_exclusive()?; + + doctor_log!("doctor: reading header"); + let mut header = HeaderCodec::read(&mut file)?; + + doctor_log!( + "doctor: zeroing out corrupted WAL region (offset: {}, size: {})", + header.wal_offset, + header.wal_size + ); + + // Zero out the entire WAL region to create a clean slate + #[allow(clippy::cast_possible_truncation)] + let wal_size = header.wal_size as usize; + let zeros = vec![0u8; min(1024 * 1024, wal_size)]; // Write in 1MB chunks + let mut written = 0; + + while written < wal_size { + let chunk_size = min(zeros.len(), wal_size - written); + file.seek(SeekFrom::Start(header.wal_offset + written as u64))?; + file.write_all(&zeros[..chunk_size])?; + written += chunk_size; + } + + // Reset WAL state in header + header.wal_checkpoint_pos = 0; + header.wal_sequence = 0; + + doctor_log!("doctor: writing repaired header"); + HeaderCodec::write(&mut file, &header)?; + + // Flush all changes to disk + file.sync_all()?; + + doctor_log!("doctor: WAL rebuilt, attempting to open memory"); + + // Now try to open the file normally - WAL should be clean + // We need to release the lock first, then reopen + drop(file); + + Memvid::try_open(path) +} + +pub(crate) fn doctor_apply(path: &Path, plan: DoctorPlan) -> Result { + if plan.options.dry_run { + let findings = plan.findings.clone(); + let status = if plan.is_noop() { + DoctorStatus::Clean + } else { + DoctorStatus::PlanOnly + }; + return Ok(DoctorReport { + plan, + status, + phases: Vec::new(), + findings, + metrics: DoctorMetrics::default(), + verification: None, + }); + } + + let executor = DoctorExecutor::new(path.to_path_buf(), plan); + executor.run() +} + +pub(crate) fn doctor_run(path: &Path, options: DoctorOptions) -> Result { + set_doctor_quiet(options.quiet); + doctor_log!("doctor: doctor_run start"); + let plan = doctor_plan(path, options.clone())?; + doctor_log!("doctor: plan ready"); + doctor_apply(path, plan) +} + +struct DoctorPlanner { + path: PathBuf, + options: DoctorOptions, +} + +impl DoctorPlanner { + fn new(path: PathBuf, options: DoctorOptions) -> Self { + Self { path, options } + } + + fn compute(mut self) -> Result { + doctor_log!("doctor: planner.compute start"); + let start = std::time::Instant::now(); + let mut probe = self.probe()?; + doctor_log!( + "doctor: probe complete in {:?} (wal_pending={}, findings={})", + start.elapsed(), + probe.wal_pending, + probe.findings.len() + ); + debug_assert!( + probe.wal_pending == 0, + "probe detected {} pending wal records", + probe.wal_pending + ); + let mut phases = Vec::new(); + let mut findings = probe.findings.clone(); + + let mut header_actions = Vec::new(); + if let (Some(header), Some(offset)) = (&probe.header, probe.toc_offset) { + if header.footer_offset != offset { + header_actions.push(DoctorActionPlan { + action: DoctorActionKind::HealHeaderPointer, + required: true, + reasons: vec![DoctorFindingCode::HeaderFooterOffsetMismatch], + note: Some(format!("heal footer offset to {offset}")), + detail: Some(DoctorActionDetail::HeaderPointer { + target_footer_offset: offset, + }), + }); + } + if let Some(toc) = &probe.toc { + if header.toc_checksum != toc.toc_checksum { + header_actions.push(DoctorActionPlan { + action: DoctorActionKind::HealTocChecksum, + required: true, + reasons: vec![DoctorFindingCode::HeaderTocChecksumMismatch], + note: Some("update header toc checksum".to_string()), + detail: Some(DoctorActionDetail::TocChecksum { + expected: toc.toc_checksum, + }), + }); + } + } + } + if !header_actions.is_empty() { + phases.push(DoctorPhasePlan { + phase: DoctorPhaseKind::HeaderHealing, + actions: header_actions, + }); + } + + if probe.wal_pending > 0 { + phases.push(DoctorPhasePlan { + phase: DoctorPhaseKind::WalReplay, + actions: vec![DoctorActionPlan { + action: DoctorActionKind::ReplayWal, + required: true, + reasons: vec![DoctorFindingCode::WalHasPendingRecords], + note: Some(format!("replay {} wal records", probe.wal_pending)), + detail: Some(DoctorActionDetail::WalReplay { + from_sequence: probe.wal_from_sequence, + to_sequence: probe.wal_to_sequence, + pending_records: probe.wal_pending, + }), + }], + }); + } + + let mut index_actions = Vec::new(); + if probe.index.needs_time || self.options.rebuild_time_index { + index_actions.push(DoctorActionPlan { + action: DoctorActionKind::RebuildTimeIndex, + required: probe.index.needs_time || self.options.rebuild_time_index, + reasons: vec![DoctorFindingCode::TimeIndexMissing], + note: Some("rebuild time index".to_string()), + detail: Some(DoctorActionDetail::TimeIndex { + expected_entries: probe.index.time_expected_entries, + }), + }); + } + #[cfg(feature = "lex")] + { + if probe.index.needs_lex || self.options.rebuild_lex_index { + index_actions.push(DoctorActionPlan { + action: DoctorActionKind::RebuildLexIndex, + required: probe.index.needs_lex || self.options.rebuild_lex_index, + reasons: vec![DoctorFindingCode::LexIndexMissing], + note: Some("rebuild lex index".to_string()), + detail: Some(DoctorActionDetail::LexIndex { + expected_docs: probe.index.lex_expected_docs, + }), + }); + } + } + #[cfg(not(feature = "lex"))] + { + if self.options.rebuild_lex_index { + findings.push(DoctorFinding::error( + DoctorFindingCode::UnsupportedFeature, + "lex feature disabled; cannot rebuild lex index", + )); + } + } + if probe.index.needs_vec || self.options.rebuild_vec_index { + index_actions.push(DoctorActionPlan { + action: DoctorActionKind::RebuildVecIndex, + required: probe.index.needs_vec || self.options.rebuild_vec_index, + reasons: vec![DoctorFindingCode::VecIndexMissing], + note: Some("rebuild vec index".to_string()), + detail: Some(DoctorActionDetail::VecIndex { + expected_vectors: probe.index.vec_expected_vectors, + dimension: probe.index.vec_dimension, + }), + }); + } + // FIX: Run vacuum BEFORE index rebuild to avoid orphaning segments + // Vacuum compacts frames first, then index rebuild writes fresh indexes + if self.options.vacuum { + phases.push(DoctorPhasePlan { + phase: DoctorPhaseKind::Vacuum, + actions: vec![DoctorActionPlan { + action: DoctorActionKind::VacuumCompaction, + required: true, + reasons: Vec::new(), + note: Some("vacuum active payloads".to_string()), + detail: None, + }], + }); + } + + if !index_actions.is_empty() { + phases.push(DoctorPhasePlan { + phase: DoctorPhaseKind::IndexRebuild, + actions: index_actions, + }); + } + + if probe.toc_recovered || !phases.is_empty() { + phases.push(DoctorPhasePlan { + phase: DoctorPhaseKind::Finalize, + actions: vec![ + DoctorActionPlan { + action: DoctorActionKind::RecomputeToc, + required: true, + reasons: Vec::new(), + note: Some("persist rebuilt manifests".to_string()), + detail: None, + }, + DoctorActionPlan { + action: DoctorActionKind::UpdateHeader, + required: true, + reasons: Vec::new(), + note: Some("update header pointer".to_string()), + detail: None, + }, + ], + }); + } + + phases.push(DoctorPhasePlan { + phase: DoctorPhaseKind::Verify, + actions: vec![DoctorActionPlan { + action: DoctorActionKind::DeepVerify, + required: true, + reasons: Vec::new(), + note: Some("run deep verify".to_string()), + detail: None, + }], + }); + + findings.append(&mut probe.findings); + + Ok(DoctorPlan { + version: DOCTOR_PLAN_VERSION, + file_path: self.path, + options: self.options, + findings, + phases, + }) + } + + fn probe(&mut self) -> Result { + doctor_log!("doctor: probe start"); + let mut probe = PlanProbe { + header: None, + toc: None, + toc_offset: None, + toc_recovered: false, + findings: Vec::new(), + wal_pending: 0, + wal_from_sequence: 0, + wal_to_sequence: 0, + index: IndexProbe::default(), + file_len: 0, + }; + + let mut file = OpenOptions::new().read(true).write(true).open(&self.path)?; + probe.file_len = file.metadata()?.len(); + doctor_log!("doctor: probe file len {}", probe.file_len); + + doctor_log!("doctor: reading header"); + match HeaderCodec::read(&mut file) { + Ok(header) => probe.header = Some(header), + Err(err) => { + probe.findings.push(DoctorFinding::error( + DoctorFindingCode::HeaderDecodeFailure, + err.to_string(), + )); + return Ok(probe); + } + } + + let Some(header) = probe.header.as_ref() else { + return Ok(probe); + }; + doctor_log!( + "doctor: header footer_offset={}, wal_offset={}, wal_size={}", + header.footer_offset, + header.wal_offset, + header.wal_size + ); + + doctor_log!("doctor: attempting read_toc"); + let (toc, toc_offset, recovered) = match read_toc(&mut file, header) { + Ok(toc) => (toc, header.footer_offset, false), + Err(_) => match recover_toc(&mut file, Some(header.footer_offset)) { + Ok((toc, offset)) => { + doctor_log!("doctor: recover_toc succeeded at offset {}", offset); + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::TocDecodeFailure, + "recovered toc from trailer", + )); + (toc, offset, true) + } + Err(err) => { + doctor_log!("doctor: recover_toc failed: {}", err); + probe.findings.push(DoctorFinding::error( + DoctorFindingCode::TocDecodeFailure, + err.to_string(), + )); + return Ok(probe); + } + }, + }; + probe.toc_recovered = recovered; + probe.toc = Some(toc.clone()); + probe.toc_offset = Some(toc_offset); + doctor_log!( + "doctor: toc entries frames={}, segments={}, segment_catalog(lex={}, vec={}, time={})", + toc.frames.len(), + toc.segments.len(), + toc.segment_catalog.lex_segments.len(), + toc.segment_catalog.vec_segments.len(), + toc.segment_catalog.time_segments.len(), + ); + + if recovered && header.footer_offset != toc_offset { + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::HeaderFooterOffsetMismatch, + format!( + "header footer offset {} differed from recovered {toc_offset}", + header.footer_offset + ), + )); + } + + if let Err(err) = toc.verify_checksum() { + probe.findings.push(DoctorFinding::error( + DoctorFindingCode::TocChecksumMismatch, + err.to_string(), + )); + } + + if header.toc_checksum != toc.toc_checksum { + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::HeaderTocChecksumMismatch, + "header toc checksum does not match manifest".to_string(), + )); + } + + match EmbeddedWal::open(&file, header) { + Ok(mut wal) => { + doctor_log!("doctor: embedded wal open success"); + let stats = wal.stats(); + probe.wal_from_sequence = header.wal_sequence; + probe.wal_to_sequence = stats.sequence; + match wal.pending_records() { + Ok(records) => { + probe.wal_pending = records.len(); + if !records.is_empty() { + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::WalHasPendingRecords, + format!("{} wal records pending", records.len()), + )); + } + } + Err(err) => { + probe.findings.push(DoctorFinding::error( + DoctorFindingCode::WalChecksumMismatch, + err.to_string(), + )); + } + } + } + Err(err) => { + probe.findings.push(DoctorFinding::error( + DoctorFindingCode::WalChecksumMismatch, + err.to_string(), + )); + } + } + + self.inspect_time_index(&mut probe, &mut file); + self.inspect_lex_index(&mut probe, &mut file); + self.inspect_vec_index(&mut probe, &mut file); + + Ok(probe) + } + + fn inspect_time_index(&self, probe: &mut PlanProbe, file: &mut std::fs::File) { + let Some(toc) = probe.toc.as_ref() else { + return; + }; + if let Some(manifest) = toc.time_index.clone() { + doctor_log!( + "doctor: inspect_time_index offset={} length={} entries={}", + manifest.bytes_offset, + manifest.bytes_length, + manifest.entry_count + ); + let span_end = manifest.bytes_offset.saturating_add(manifest.bytes_length); + if span_end > probe.file_len { + probe.findings.push(DoctorFinding::error( + DoctorFindingCode::TimeIndexChecksumMismatch, + format!( + "time index [{}, {}] outside file bounds", + manifest.bytes_offset, manifest.bytes_length + ), + )); + probe.index.needs_time = true; + return; + } + if manifest.bytes_length > crate::MAX_TIME_INDEX_BYTES { + probe.index.needs_time = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::TimeIndexChecksumMismatch, + "time index exceeds safety limit".to_string(), + )); + return; + } + match read_track(file, manifest.bytes_offset, manifest.bytes_length) { + Ok(entries) => { + doctor_log!("doctor: time index read {} entries", entries.len()); + probe.index.time_expected_entries = manifest.entry_count; + if entries.len() as u64 != manifest.entry_count { + probe.index.needs_time = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::TimeIndexChecksumMismatch, + format!( + "time index entry count mismatch (manifest {}, actual {})", + manifest.entry_count, + entries.len() + ), + )); + } + let checksum = time_index_checksum(&entries); + if checksum != manifest.checksum { + probe.index.needs_time = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::TimeIndexChecksumMismatch, + "time index checksum mismatch".to_string(), + )); + } + } + Err(err) => { + doctor_log!("doctor: read_track failed: {}", err); + probe.index.needs_time = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::TimeIndexChecksumMismatch, + err.to_string(), + )); + } + } + } else if !toc.frames.is_empty() { + probe.index.needs_time = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::TimeIndexMissing, + "time index missing for non-empty memory".to_string(), + )); + } + } + + fn inspect_lex_index(&self, probe: &mut PlanProbe, file: &mut std::fs::File) { + let Some(toc) = probe.toc.as_ref() else { + return; + }; + + // CRITICAL FIX (Bug #10): Check for Tantivy segments first + // Tantivy indexes have NO manifest but have lex_segments instead + if !toc.indexes.lex_segments.is_empty() { + doctor_log!( + "doctor: detected Tantivy-based lex index with {} segments, skipping old validation", + toc.indexes.lex_segments.len() + ); + // Tantivy index is valid, no further validation needed + return; + } + + let Some(manifest) = toc.indexes.lex.clone() else { + if self.options.rebuild_lex_index { + probe.index.needs_lex = true; + } + return; + }; + probe.index.lex_expected_docs = manifest.doc_count; + + #[cfg(feature = "lex")] + { + doctor_log!( + "doctor: inspect_lex_index offset={} length={} docs={}", + manifest.bytes_offset, + manifest.bytes_length, + manifest.doc_count + ); + + let span_end = manifest.bytes_offset.saturating_add(manifest.bytes_length); + if span_end > probe.file_len { + probe.index.needs_lex = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::LexIndexCorrupt, + "lex index range outside file".to_string(), + )); + return; + } + if manifest.bytes_length > crate::MAX_INDEX_BYTES { + probe.index.needs_lex = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::LexIndexCorrupt, + "lex index exceeds safety limit".to_string(), + )); + return; + } + #[allow(clippy::cast_possible_truncation)] + let mut buf = vec![0u8; manifest.bytes_length as usize]; + if let Err(err) = file.seek(SeekFrom::Start(manifest.bytes_offset)) { + probe.index.needs_lex = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::LexIndexCorrupt, + err.to_string(), + )); + return; + } + if let Err(err) = file.read_exact(&mut buf) { + probe.index.needs_lex = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::LexIndexCorrupt, + err.to_string(), + )); + return; + } + match LexIndex::decode(&buf) { + Ok(mut index) => { + let doc_count = index.documents_mut().len() as u64; + if doc_count != manifest.doc_count { + doctor_log!( + "doctor: lex doc count mismatch manifest {} actual {}", + manifest.doc_count, + doc_count + ); + probe.index.needs_lex = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::LexIndexCorrupt, + format!( + "lex index doc count mismatch (manifest {}, actual {})", + manifest.doc_count, doc_count + ), + )); + } + } + Err(err) => { + probe.index.needs_lex = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::LexIndexCorrupt, + err.to_string(), + )); + } + } + } + + #[cfg(not(feature = "lex"))] + { + probe.findings.push(DoctorFinding::info( + DoctorFindingCode::UnsupportedFeature, + "lex feature disabled; skipping lex validation", + )); + } + } + + fn inspect_vec_index(&self, probe: &mut PlanProbe, file: &mut std::fs::File) { + let Some(toc) = probe.toc.as_ref() else { + return; + }; + + // Check segment_catalog.vec_segments (parallel segments system) + if !toc.segment_catalog.vec_segments.is_empty() { + let total_vectors: u64 = toc + .segment_catalog + .vec_segments + .iter() + .map(|s| s.vector_count) + .sum(); + let dimension = toc + .segment_catalog + .vec_segments + .first() + .map_or(0, |s| s.dimension); + + doctor_log!( + "doctor: inspect_vec_index (segment_catalog) segments={} total_vectors={} dim={}", + toc.segment_catalog.vec_segments.len(), + total_vectors, + dimension + ); + + // Validate each segment + for (i, segment) in toc.segment_catalog.vec_segments.iter().enumerate() { + let span_end = segment + .common + .bytes_offset + .saturating_add(segment.common.bytes_length); + if span_end > probe.file_len { + probe.index.needs_vec = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::VecIndexCorrupt, + format!( + "vec segment {} range [{}, {}] outside file bounds", + i, segment.common.bytes_offset, segment.common.bytes_length + ), + )); + continue; + } + + if segment.common.bytes_length > crate::MAX_INDEX_BYTES { + probe.index.needs_vec = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::VecIndexCorrupt, + format!("vec segment {i} exceeds safety limit"), + )); + continue; + } + + // Read and validate segment + #[allow(clippy::cast_possible_truncation)] + let mut buf = vec![0u8; segment.common.bytes_length as usize]; + if let Err(err) = file.seek(SeekFrom::Start(segment.common.bytes_offset)) { + probe.index.needs_vec = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::VecIndexCorrupt, + format!("vec segment {i} seek error: {err}"), + )); + continue; + } + if let Err(err) = file.read_exact(&mut buf) { + probe.index.needs_vec = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::VecIndexCorrupt, + format!("vec segment {i} read error: {err}"), + )); + continue; + } + if let Err(err) = + VecIndex::decode_with_compression(&buf, segment.vector_compression.clone()) + { + probe.index.needs_vec = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::VecIndexCorrupt, + format!("vec segment {i} decode error: {err}"), + )); + } + } + + probe.index.vec_expected_vectors = total_vectors; + probe.index.vec_dimension = dimension; + + // If segment_catalog has segments, skip monolithic index check + return; + } + + // Fall back to legacy monolithic index check + let Some(manifest) = toc.indexes.vec.clone() else { + if self.options.rebuild_vec_index { + probe.index.needs_vec = true; + } + return; + }; + probe.index.vec_expected_vectors = manifest.vector_count; + probe.index.vec_dimension = manifest.dimension; + doctor_log!( + "doctor: inspect_vec_index (monolithic) offset={} length={} vectors={} dim={}", + manifest.bytes_offset, + manifest.bytes_length, + manifest.vector_count, + manifest.dimension + ); + + let span_end = manifest.bytes_offset.saturating_add(manifest.bytes_length); + if span_end > probe.file_len { + probe.index.needs_vec = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::VecIndexCorrupt, + "vector index range outside file".to_string(), + )); + return; + } + + if manifest.bytes_length > crate::MAX_INDEX_BYTES { + probe.index.needs_vec = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::VecIndexCorrupt, + "vector index exceeds safety limit".to_string(), + )); + return; + } + + #[allow(clippy::cast_possible_truncation)] + let mut buf = vec![0u8; manifest.bytes_length as usize]; + if let Err(err) = file.seek(SeekFrom::Start(manifest.bytes_offset)) { + probe.index.needs_vec = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::VecIndexCorrupt, + err.to_string(), + )); + return; + } + if let Err(err) = file.read_exact(&mut buf) { + probe.index.needs_vec = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::VecIndexCorrupt, + err.to_string(), + )); + return; + } + match VecIndex::decode(&buf) { + Ok(index) => { + if index.entries().count() as u64 != manifest.vector_count { + probe.index.needs_vec = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::VecIndexCorrupt, + "vector index count mismatch".to_string(), + )); + } + } + Err(err) => { + probe.index.needs_vec = true; + probe.findings.push(DoctorFinding::warning( + DoctorFindingCode::VecIndexCorrupt, + err.to_string(), + )); + } + } + } +} + +struct DoctorExecutor { + path: PathBuf, + plan: DoctorPlan, +} + +impl DoctorExecutor { + fn new(path: PathBuf, plan: DoctorPlan) -> Self { + Self { path, plan } + } + + fn run(self) -> Result { + doctor_log!("doctor: starting executor"); + let DoctorExecutor { path, plan } = self; + let mut metrics = DoctorMetrics::default(); + let mut phase_reports = Vec::new(); + let mut additional_findings = Vec::new(); + let mut verification: Option = None; + + if plan.version != DOCTOR_PLAN_VERSION { + additional_findings.push(DoctorFinding::error( + DoctorFindingCode::InternalError, + format!( + "doctor plan version mismatch (plan {}, engine {})", + plan.version, DOCTOR_PLAN_VERSION + ), + )); + return Ok(DoctorReport { + plan, + status: DoctorStatus::Failed, + phases: phase_reports, + findings: additional_findings, + metrics, + verification: None, + }); + } + + doctor_log!("doctor: trying to open memory"); + + // Check if WAL is corrupted - if so, attempt recovery + let has_wal_corruption = plan + .findings + .iter() + .any(|f| matches!(f.code, DoctorFindingCode::WalChecksumMismatch)); + + let mut mem = if has_wal_corruption { + doctor_log!("doctor: WAL corrupted, attempting recovery by rebuilding WAL"); + match try_recover_from_wal_corruption(&path) { + Ok(recovered_mem) => { + doctor_log!("doctor: successfully recovered from WAL corruption"); + additional_findings.push(DoctorFinding::warning( + DoctorFindingCode::WalChecksumMismatch, + "WAL was corrupted but successfully rebuilt".to_string(), + )); + Some(recovered_mem) + } + Err(err) => { + doctor_log!("doctor: WAL recovery failed: {}", err); + additional_findings.push(DoctorFinding::error( + DoctorFindingCode::WalChecksumMismatch, + format!("WAL corrupted and recovery failed: {err}"), + )); + return Ok(DoctorReport { + plan, + status: DoctorStatus::Failed, + phases: phase_reports, + findings: additional_findings, + metrics, + verification: None, + }); + } + } + } else { + // Normal path - WAL is fine + match Memvid::try_open(&path) { + Ok(mem) => Some(mem), + Err(err) => { + // Check if this is TOC/header corruption that aggressive repair can fix + if Self::is_toc_corruption_error(&err) { + doctor_log!("doctor: file unopenable due to TOC/header corruption"); + doctor_log!("doctor: attempting aggressive repair (Tier 2)"); + + match Self::aggressive_header_repair(&path) { + Ok(()) => { + doctor_log!("doctor: aggressive repair successful, retrying open"); + additional_findings.push(DoctorFinding::warning( + DoctorFindingCode::HeaderFooterOffsetMismatch, + "Header footer_offset was corrupted but repaired via aggressive scan".to_string(), + )); + + // Retry opening after repair + match Memvid::try_open(&path) { + Ok(mem) => Some(mem), + Err(retry_err) => { + doctor_log!( + "doctor: file still unopenable after aggressive repair: {}", + retry_err + ); + additional_findings.push(DoctorFinding::error( + DoctorFindingCode::InternalError, + format!("Aggressive repair succeeded but file still corrupt: {retry_err}"), + )); + return Ok(DoctorReport { + plan, + status: DoctorStatus::Failed, + phases: phase_reports, + findings: additional_findings, + metrics, + verification: None, + }); + } + } + } + Err(repair_err) => { + doctor_log!("doctor: aggressive repair failed: {}", repair_err); + additional_findings.push(DoctorFinding::error( + DoctorFindingCode::InternalError, + format!("Aggressive repair failed: {repair_err}"), + )); + return Ok(DoctorReport { + plan, + status: DoctorStatus::Failed, + phases: phase_reports, + findings: additional_findings, + metrics, + verification: None, + }); + } + } + } else { + // Not a corruption we can fix, fail normally + additional_findings.push(DoctorFinding::error( + DoctorFindingCode::LockContention, + err.to_string(), + )); + return Ok(DoctorReport { + plan, + status: DoctorStatus::Failed, + phases: phase_reports, + findings: additional_findings, + metrics, + verification: None, + }); + } + } + } + }; + + let original_header = mem.as_ref().map(|m| m.header.clone()); + let mut pending_rebuild_time = false; + let mut pending_rebuild_lex = false; + let mut pending_rebuild_vec = false; + let mut overall_failed = false; + let start = Instant::now(); + + for phase in &plan.phases { + doctor_log!("doctor: entering phase {:?}", phase.phase); + let phase_start = Instant::now(); + let mut actions = Vec::new(); + let mut phase_status = DoctorPhaseStatus::Skipped; + for action in &phase.actions { + doctor_log!("doctor: executing action {:?}", action.action); + if mem.is_none() { + overall_failed = true; + phase_status = DoctorPhaseStatus::Failed; + actions.push(DoctorActionReport { + action: action.action, + status: DoctorActionStatus::Failed, + detail: Some("memory handle unavailable".into()), + }); + break; + } + let exec = Self::execute_action( + mem.as_mut().expect("mem available"), + action, + &mut pending_rebuild_time, + &mut pending_rebuild_lex, + &mut pending_rebuild_vec, + ); + match exec { + Ok(report) => { + if !matches!(report.status, DoctorActionStatus::Skipped) { + phase_status = DoctorPhaseStatus::Executed; + } + if matches!(report.status, DoctorActionStatus::Failed) { + overall_failed = true; + } + actions.push(report); + } + Err(err) => { + overall_failed = true; + phase_status = DoctorPhaseStatus::Failed; + actions.push(DoctorActionReport { + action: action.action, + status: DoctorActionStatus::Failed, + detail: Some(err.to_string()), + }); + additional_findings.push(DoctorFinding::error( + DoctorFindingCode::InternalError, + err.to_string(), + )); + break; + } + } + } + + if matches!(phase.phase, DoctorPhaseKind::IndexRebuild) + && (pending_rebuild_time || pending_rebuild_lex || pending_rebuild_vec) + && !overall_failed + { + if let Some(mem_ref) = mem.as_mut() { + match Self::apply_pending_rebuilds( + mem_ref, + pending_rebuild_time, + pending_rebuild_lex, + pending_rebuild_vec, + ) { + Ok(detail) => { + let detail_status = detail.status; + actions.push(detail); + if !matches!(detail_status, DoctorActionStatus::Skipped) { + phase_status = DoctorPhaseStatus::Executed; + } + pending_rebuild_time = false; + pending_rebuild_lex = false; + pending_rebuild_vec = false; + } + Err(err) => { + overall_failed = true; + phase_status = DoctorPhaseStatus::Failed; + actions.push(DoctorActionReport { + action: DoctorActionKind::RecomputeToc, + status: DoctorActionStatus::Failed, + detail: Some(err.to_string()), + }); + additional_findings.push(DoctorFinding::error( + DoctorFindingCode::InternalError, + err.to_string(), + )); + } + } + } else { + overall_failed = true; + phase_status = DoctorPhaseStatus::Failed; + actions.push(DoctorActionReport { + action: DoctorActionKind::RecomputeToc, + status: DoctorActionStatus::Failed, + detail: Some("memory handle unavailable".into()), + }); + } + } + + if matches!(phase.phase, DoctorPhaseKind::Finalize) + && !overall_failed + && (pending_rebuild_time || pending_rebuild_lex || pending_rebuild_vec) + { + if let Some(mem_ref) = mem.as_mut() { + match Self::apply_pending_rebuilds( + mem_ref, + pending_rebuild_time, + pending_rebuild_lex, + pending_rebuild_vec, + ) { + Ok(detail) => { + let detail_status = detail.status; + actions.push(detail); + if !matches!(detail_status, DoctorActionStatus::Skipped) { + phase_status = DoctorPhaseStatus::Executed; + } + pending_rebuild_time = false; + pending_rebuild_lex = false; + pending_rebuild_vec = false; + } + Err(err) => { + overall_failed = true; + phase_status = DoctorPhaseStatus::Failed; + actions.push(DoctorActionReport { + action: DoctorActionKind::RecomputeToc, + status: DoctorActionStatus::Failed, + detail: Some(err.to_string()), + }); + additional_findings.push(DoctorFinding::error( + DoctorFindingCode::InternalError, + err.to_string(), + )); + } + } + } else { + overall_failed = true; + phase_status = DoctorPhaseStatus::Failed; + actions.push(DoctorActionReport { + action: DoctorActionKind::RecomputeToc, + status: DoctorActionStatus::Failed, + detail: Some("memory handle unavailable".into()), + }); + } + } + + if matches!(phase.phase, DoctorPhaseKind::Verify) { + if !overall_failed { + // CRITICAL: Clear WAL before verification + // This ensures a clean slate even if doctor's own operations had WAL issues + if let Some(ref mut held) = mem { + doctor_log!("doctor: performing final WAL cleanup before verification"); + if let Err(err) = Self::reset_wal(held) { + doctor_log!("doctor: WARNING - final WAL cleanup failed: {}", err); + additional_findings.push(DoctorFinding::warning( + DoctorFindingCode::InternalError, + format!("final WAL cleanup failed: {err}"), + )); + } else { + doctor_log!("doctor: final WAL cleanup successful"); + } + } + + if let Some(held) = mem.take() { + let _ = held.file.sync_all(); + } + let mut report = Self::run_verification(&path)?; + if !Self::verification_is_success(&report) + && Self::verification_is_wal_only_failure(&report) + { + if let Ok(mut reopen) = Memvid::try_open(&path) { + let _ = Self::reset_wal(&mut reopen); + } + report = Self::run_verification(&path)?; + if Self::verification_is_wal_only_failure(&report) { + let mut patched = report.clone(); + if let Some(check) = patched + .checks + .iter_mut() + .find(|check| check.name == "WalPendingRecords") + { + check.status = VerificationStatus::Passed; + check.details = Some("doctor cleared wal".into()); + } + patched.overall_status = VerificationStatus::Passed; + report = patched; + } + } + let passed = report.overall_status == VerificationStatus::Passed; + verification = Some(report.clone()); + if let Some(entry) = actions + .iter_mut() + .rev() + .find(|r| matches!(r.action, DoctorActionKind::DeepVerify)) + { + entry.status = if passed { + DoctorActionStatus::Executed + } else { + DoctorActionStatus::Failed + }; + entry.detail = Some(if passed { + "deep verification passed".into() + } else { + "verification report indicates failure".into() + }); + } else { + actions.push(DoctorActionReport { + action: DoctorActionKind::DeepVerify, + status: if passed { + DoctorActionStatus::Executed + } else { + DoctorActionStatus::Failed + }, + detail: Some(if passed { + "deep verification passed".into() + } else { + "verification report indicates failure".into() + }), + }); + } + if passed { + phase_status = DoctorPhaseStatus::Executed; + } else { + overall_failed = true; + phase_status = DoctorPhaseStatus::Failed; + } + } else if let Some(entry) = actions + .iter_mut() + .rev() + .find(|r| matches!(r.action, DoctorActionKind::DeepVerify)) + { + entry.detail = Some("skipped due to previous failure".into()); + } + } + + metrics.phase_durations.push(DoctorPhaseDuration { + phase: phase.phase, + duration_ms: phase_start + .elapsed() + .as_millis() + .try_into() + .unwrap_or(u64::MAX), + }); + metrics.actions_completed += actions + .iter() + .filter(|a| matches!(a.status, DoctorActionStatus::Executed)) + .count(); + metrics.actions_skipped += actions + .iter() + .filter(|a| matches!(a.status, DoctorActionStatus::Skipped)) + .count(); + + phase_reports.push(DoctorPhaseReport { + phase: phase.phase, + status: phase_status, + actions, + duration_ms: metrics + .phase_durations + .last() + .map(|entry| entry.duration_ms), + }); + + if overall_failed { + break; + } + } + + metrics.total_duration_ms = start.elapsed().as_millis().try_into().unwrap_or(u64::MAX); + + if overall_failed { + if let Some(original) = &original_header { + if let Ok(mut revert) = Memvid::try_open(&path) { + let _ = crate::persist_header(&mut revert.file, original); + let _ = revert.file.sync_all(); + } + } + } else if let Some(held) = mem { + // mem.take() was already called during Verify phase, so this branch won't execute + // WAL cleanup happens before verification (see line 993) + let _ = held.file.sync_all(); + } + + let status = if overall_failed { + DoctorStatus::Failed + } else if plan.is_noop() { + DoctorStatus::Clean + } else { + DoctorStatus::Healed + }; + + Ok(DoctorReport { + plan, + status, + phases: phase_reports, + findings: additional_findings, + metrics, + verification, + }) + } + + fn execute_action( + mem: &mut Memvid, + action: &DoctorActionPlan, + pending_time: &mut bool, + pending_lex: &mut bool, + pending_vec: &mut bool, + ) -> Result { + match action.action { + DoctorActionKind::HealHeaderPointer => { + if let Some(DoctorActionDetail::HeaderPointer { + target_footer_offset, + }) = &action.detail + { + if mem.header.footer_offset != *target_footer_offset { + mem.header.footer_offset = *target_footer_offset; + mem.header.toc_checksum = mem.toc.toc_checksum; + crate::persist_header(&mut mem.file, &mem.header)?; + mem.file.sync_all()?; + return Ok(DoctorActionReport { + action: action.action, + status: DoctorActionStatus::Executed, + detail: Some(format!("footer offset set to {target_footer_offset}")), + }); + } + } + Ok(DoctorActionReport { + action: action.action, + status: DoctorActionStatus::Skipped, + detail: None, + }) + } + DoctorActionKind::HealTocChecksum => { + if let Some(DoctorActionDetail::TocChecksum { expected }) = &action.detail { + if mem.header.toc_checksum != *expected { + mem.header.toc_checksum = *expected; + crate::persist_header(&mut mem.file, &mem.header)?; + mem.file.sync_all()?; + return Ok(DoctorActionReport { + action: action.action, + status: DoctorActionStatus::Executed, + detail: Some("header toc checksum updated".into()), + }); + } + } + Ok(DoctorActionReport { + action: action.action, + status: DoctorActionStatus::Skipped, + detail: None, + }) + } + DoctorActionKind::ReplayWal => { + mem.recover_wal()?; + Ok(DoctorActionReport { + action: action.action, + status: DoctorActionStatus::Executed, + detail: Some("wal replay completed".into()), + }) + } + DoctorActionKind::RebuildTimeIndex => { + *pending_time = true; + Ok(DoctorActionReport { + action: action.action, + status: DoctorActionStatus::Executed, + detail: Some("scheduled time index rebuild".into()), + }) + } + DoctorActionKind::RebuildLexIndex => { + *pending_lex = true; + Ok(DoctorActionReport { + action: action.action, + status: DoctorActionStatus::Executed, + detail: Some("scheduled lex index rebuild".into()), + }) + } + DoctorActionKind::RebuildVecIndex => { + *pending_vec = true; + Ok(DoctorActionReport { + action: action.action, + status: DoctorActionStatus::Executed, + detail: Some("scheduled vector index rebuild".into()), + }) + } + DoctorActionKind::VacuumCompaction => { + mem.vacuum()?; + Ok(DoctorActionReport { + action: action.action, + status: DoctorActionStatus::Executed, + detail: Some("vacuum completed".into()), + }) + } + DoctorActionKind::RecomputeToc => { + // Force a commit even if no WAL records are pending, so the TOC trailer and + // commit footer are rewritten and the header stays consistent. + mem.dirty = true; + mem.commit()?; + Ok(DoctorActionReport { + action: action.action, + status: DoctorActionStatus::Executed, + detail: Some("toc + commit footer rewritten".into()), + }) + } + DoctorActionKind::UpdateHeader => { + crate::persist_header(&mut mem.file, &mem.header)?; + mem.file.sync_all()?; + Ok(DoctorActionReport { + action: action.action, + status: DoctorActionStatus::Executed, + detail: Some("header rewritten".into()), + }) + } + DoctorActionKind::DeepVerify => Ok(DoctorActionReport { + action: action.action, + status: DoctorActionStatus::Skipped, + detail: Some("verification deferred".into()), + }), + DoctorActionKind::DiscardWal | DoctorActionKind::NoOp => Ok(DoctorActionReport { + action: action.action, + status: DoctorActionStatus::Skipped, + detail: None, + }), + } + } + + fn apply_pending_rebuilds( + mem: &mut Memvid, + time: bool, + lex: bool, + vec: bool, + ) -> Result { + doctor_log!( + "doctor: apply pending rebuilds (time={}, lex={}, vec={})", + time, + lex, + vec + ); + if !(time || lex || vec) { + return Ok(DoctorActionReport { + action: DoctorActionKind::RecomputeToc, + status: DoctorActionStatus::Skipped, + detail: None, + }); + } + + if lex { + mem.lex_enabled = true; + mem.toc.indexes.lex = None; + mem.lex_index = None; + } + if vec { + mem.vec_enabled = true; + mem.toc.indexes.vec = None; + mem.vec_index = None; + } else if mem.vec_enabled { + // CRITICAL: If we're NOT rebuilding vec index but it exists, + // we must load it first so rebuild_indexes can preserve it. + // Otherwise build_vec_artifact reads from self.vec_index (which is None) + // and the vectors are lost. + if mem.vec_index.is_none() && mem.toc.indexes.vec.is_some() { + doctor_log!("doctor: loading existing vec index to preserve it"); + if let Err(e) = mem.ensure_vec_index() { + doctor_log!("doctor: warning: failed to load vec index: {e}"); + } + } + } + + doctor_log!("doctor: rebuild_indexes start"); + mem.rebuild_indexes(&[], &[])?; + doctor_log!("doctor: rebuild_indexes done"); + + // Preserve footer_offset that was just set by rebuild_indexes + let footer_offset_after_rebuild = mem.header.footer_offset; + doctor_log!( + "doctor: footer_offset after rebuild: {}", + footer_offset_after_rebuild + ); + + mem.file.sync_all()?; + + // Note: We skip recover_wal() here because rebuild_indexes() already + // rebuilt all indexes from scratch. Calling recover_wal() is unnecessary + // and could potentially corrupt the freshly written footer_offset. + + // Reset WAL while preserving the correct footer_offset + Self::reset_wal(mem)?; + + // Verify footer_offset wasn't corrupted + if mem.header.footer_offset != footer_offset_after_rebuild { + eprintln!( + "FATAL: footer_offset corrupted during WAL reset: expected {}, got {}", + footer_offset_after_rebuild, mem.header.footer_offset + ); + return Err(MemvidError::InvalidHeader { + reason: "footer_offset corrupted during doctor repair".into(), + }); + } + doctor_log!( + "doctor: footer_offset preserved: {}", + mem.header.footer_offset + ); + + Ok(DoctorActionReport { + action: DoctorActionKind::RecomputeToc, + status: DoctorActionStatus::Executed, + detail: Some("indexes rebuilt".into()), + }) + } + + fn reset_wal(mem: &mut Memvid) -> Result<()> { + doctor_log!( + "doctor: reset_wal - zeroing {} bytes at offset {}", + mem.header.wal_size, + mem.header.wal_offset + ); + let mut remaining = mem.header.wal_size; + let mut offset = mem.header.wal_offset; + let chunk_size = (remaining.min(4096) as usize).max(1); + let zeros = vec![0u8; chunk_size]; + while remaining > 0 { + let write_len = usize::try_from(remaining.min(zeros.len() as u64)).unwrap_or(0); + mem.file.seek(SeekFrom::Start(offset))?; + mem.file.write_all(&zeros[..write_len])?; + remaining -= write_len as u64; + offset += write_len as u64; + } + mem.file.sync_all()?; + doctor_log!("doctor: reset_wal - WAL region zeroed and synced"); + + // CRITICAL: Update and persist header BEFORE reopening WAL + // EmbeddedWal::open will read the header, so it must have the correct values + mem.header.wal_checkpoint_pos = 0; + mem.header.wal_sequence = 0; + crate::persist_header(&mut mem.file, &mem.header)?; + mem.file.sync_all()?; + doctor_log!("doctor: reset_wal - header updated with wal_sequence=0, wal_checkpoint_pos=0"); + + // Now reopen the WAL with the clean state + mem.wal = EmbeddedWal::open(&mem.file, &mem.header)?; + doctor_log!("doctor: reset_wal - WAL reopened successfully"); + + // CRITICAL: Clear dirty flag to prevent Drop from calling commit() + // Drop handler will call commit() if dirty=true, which would corrupt the WAL we just cleaned + mem.dirty = false; + #[cfg(feature = "lex")] + { + mem.tantivy_dirty = false; + } + doctor_log!("doctor: reset_wal - cleared dirty flags"); + Ok(()) + } + + fn run_verification(path: &Path) -> Result { + Memvid::verify(path, true) + } + + fn verification_is_success(report: &VerificationReport) -> bool { + report.overall_status == VerificationStatus::Passed + } + + fn verification_is_wal_only_failure(report: &VerificationReport) -> bool { + if report.overall_status != VerificationStatus::Failed { + return false; + } + report.checks.iter().all(|check| { + if check.name == "WalPendingRecords" { + check.status == VerificationStatus::Failed + } else { + check.status != VerificationStatus::Failed + } + }) + } + + /// Tier 2 Aggressive Repair: Scan file for footer and fix header pointer. + /// This works on files that are too corrupted to open normally. + fn scan_for_footer(path: &Path) -> Result { + use std::fs::File; + + doctor_log!("doctor: [Tier 2] Scanning for footer in corrupted file"); + + let file = File::open(path)?; + let file_size = file.metadata()?.len(); + + const FOOTER_MAGIC: &[u8] = b"MV2FOOT!"; + const FOOTER_SIZE: u64 = 56; + + if file_size < FOOTER_SIZE { + return Err(MemvidError::InvalidToc { + reason: "file too small to contain footer".into(), + }); + } + + // Check expected location (end of file - 56 bytes) + let expected_offset = file_size - FOOTER_SIZE; + use std::io::Read; + let mut reader = file; + reader.seek(SeekFrom::Start(expected_offset))?; + let mut buf = [0u8; 8]; + reader.read_exact(&mut buf)?; + + if buf == FOOTER_MAGIC { + doctor_log!( + "doctor: [Tier 2] Footer found at expected location: {}", + expected_offset + ); + return Ok(expected_offset); + } + + doctor_log!("doctor: [Tier 2] Footer not at expected location, scanning backwards..."); + + // Scan backwards from near end of file + const MAX_SCAN: u64 = 100_000_000; // Scan last 100MB max + let scan_start = file_size.saturating_sub(MAX_SCAN); + + for offset in (scan_start..file_size.saturating_sub(FOOTER_SIZE)).rev() { + reader.seek(SeekFrom::Start(offset))?; + reader.read_exact(&mut buf)?; + if buf == FOOTER_MAGIC { + doctor_log!("doctor: [Tier 2] Footer found at offset: {}", offset); + return Ok(offset); + } + + // Progress indicator every 10MB + if offset % 10_000_000 == 0 { + doctor_log!("doctor: [Tier 2] Scanned to offset {}...", offset); + } + } + + Err(MemvidError::InvalidToc { + reason: "footer not found in file".into(), + }) + } + + /// Tier 2 Aggressive Repair: Fix header's `footer_offset` pointer. + fn aggressive_header_repair(path: &Path) -> Result<()> { + doctor_log!("doctor: [Tier 2] Attempting aggressive header repair"); + + // Find actual footer location + let actual_footer_offset = Self::scan_for_footer(path)?; + + // Read current header value + let mut file = OpenOptions::new().read(true).write(true).open(path)?; + file.seek(SeekFrom::Start(8))?; // Offset to footer_offset field in header + let mut buf = [0u8; 8]; + file.read_exact(&mut buf)?; + let header_footer_offset = u64::from_le_bytes(buf); + + doctor_log!( + "doctor: [Tier 2] Header claims footer at: {}", + header_footer_offset + ); + doctor_log!( + "doctor: [Tier 2] Actual footer at: {}", + actual_footer_offset + ); + + if header_footer_offset == actual_footer_offset { + doctor_log!("doctor: [Tier 2] Header already correct"); + return Ok(()); + } + + // Fix header + let mismatch = actual_footer_offset.abs_diff(header_footer_offset); + doctor_log!( + "doctor: [Tier 2] Mismatch: {} bytes, repairing...", + mismatch + ); + + file.seek(SeekFrom::Start(8))?; + file.write_all(&actual_footer_offset.to_le_bytes())?; + file.sync_all()?; + + // Verify + file.seek(SeekFrom::Start(8))?; + file.read_exact(&mut buf)?; + let new_value = u64::from_le_bytes(buf); + + if new_value == actual_footer_offset { + doctor_log!("doctor: [Tier 2] Header repaired successfully"); + Ok(()) + } else { + Err(MemvidError::InvalidHeader { + reason: "failed to write corrected footer_offset".into(), + }) + } + } + + /// Check if error indicates TOC/footer corruption that aggressive repair can fix. + fn is_toc_corruption_error(err: &MemvidError) -> bool { + matches!( + err, + MemvidError::InvalidToc { .. } | MemvidError::InvalidHeader { .. } + ) + } +} diff --git a/src/memvid/enrichment.rs b/src/memvid/enrichment.rs new file mode 100644 index 0000000..ed7cb2e --- /dev/null +++ b/src/memvid/enrichment.rs @@ -0,0 +1,688 @@ +//! Enrichment methods for Memvid. +//! +//! Provides background enrichment worker integration for progressive ingestion: +//! - Start/stop background worker +//! - Process enrichment queue +//! - Full text re-extraction for skim frames +//! - Embedding generation + +use std::sync::{Arc, Mutex}; +use std::thread::JoinHandle; + +use crate::enrichment_worker::{ + EmbeddingBatcher, EnrichmentWorkerConfig, EnrichmentWorkerHandle, EnrichmentWorkerStats, + TaskResult, +}; +use crate::error::Result; +use crate::extract_budgeted::ExtractionBudget; +use crate::types::{EnrichmentState, EnrichmentTask, FrameId, FrameStatus, VecEmbedder}; +use crate::vec::VecIndexBuilder; + +use super::Memvid; + +/// Handle for the background enrichment worker thread. +pub struct EnrichmentHandle { + /// Control handle for the worker. + pub handle: EnrichmentWorkerHandle, + /// Thread join handle. + thread: Option>, +} + +impl EnrichmentHandle { + /// Stop the worker and wait for it to finish. + #[must_use] + pub fn stop_and_wait(mut self) -> EnrichmentWorkerStats { + self.handle.stop(); + if let Some(thread) = self.thread.take() { + let _ = thread.join(); + } + self.handle.stats() + } + + /// Check if worker is still running. + #[must_use] + pub fn is_running(&self) -> bool { + self.handle.is_running() + } + + /// Get current statistics. + #[must_use] + pub fn stats(&self) -> EnrichmentWorkerStats { + self.handle.stats() + } + + /// Signal the worker to stop (non-blocking). + pub fn stop(&self) { + self.handle.stop(); + } +} + +/// Start a background enrichment worker thread. +/// +/// The worker processes frames from the enrichment queue asynchronously: +/// - Re-extracts full text for skim extractions +/// - Updates Tantivy index with enriched content +/// - Marks frames as Enriched when complete +/// +/// # Arguments +/// * `memvid` - Arc-wrapped Memvid instance for thread-safe access +/// * `config` - Optional worker configuration (uses defaults if None) +/// +/// # Returns +/// An `EnrichmentHandle` to control and monitor the worker. +/// +/// # Example +/// ```ignore +/// use std::sync::{Arc, Mutex}; +/// let memvid = Arc::new(Mutex::new(Memvid::open("memory.mv2")?)); +/// let handle = start_enrichment_worker(Arc::clone(&memvid), None); +/// +/// // Do other work while enrichment runs in background... +/// +/// // When done, stop and wait +/// let stats = handle.stop_and_wait(); +/// println!("Processed {} frames", stats.frames_processed); +/// ``` +pub fn start_enrichment_worker( + memvid: Arc>, + config: Option, +) -> EnrichmentHandle { + let config = config.unwrap_or_default(); + let handle = EnrichmentWorkerHandle::new(); + let worker_handle = handle.clone_handle(); + + let memvid_clone = Arc::clone(&memvid); + let config_clone = config.clone(); + + let thread = std::thread::spawn(move || { + crate::enrichment_worker::run_worker_loop( + &worker_handle, + &config_clone, + // get_next_task + || { + let mv = memvid_clone.lock().ok()?; + mv.next_enrichment_task() + }, + // process_task + |task| { + let mut mv = match memvid_clone.lock() { + Ok(mv) => mv, + Err(_) => { + return TaskResult { + frame_id: task.frame_id, + re_extracted: false, + embeddings_generated: 0, + elapsed_ms: 0, + error: Some("Failed to acquire lock".to_string()), + }; + } + }; + mv.process_enrichment_task(task) + }, + // mark_complete + |frame_id| { + if let Ok(mut mv) = memvid_clone.lock() { + mv.complete_enrichment_task(frame_id); + } + }, + // checkpoint + || { + if let Ok(mut mv) = memvid_clone.lock() { + if let Err(err) = mv.commit() { + tracing::warn!(?err, "enrichment checkpoint commit failed"); + } + } + }, + ); + }); + + EnrichmentHandle { + handle, + thread: Some(thread), + } +} + +/// Start a background enrichment worker with embedding generation. +/// +/// Similar to `start_enrichment_worker` but also generates embeddings +/// for frames that need them. +/// +/// # Arguments +/// * `memvid` - Arc-wrapped Memvid instance for thread-safe access +/// * `embedder` - The embedding model to use +/// * `config` - Optional worker configuration (uses defaults if None) +/// +/// # Type Parameters +/// * `E` - Embedder type implementing `VecEmbedder + Send + 'static` +pub fn start_enrichment_worker_with_embeddings( + memvid: Arc>, + embedder: E, + config: Option, +) -> EnrichmentHandle +where + E: VecEmbedder + Send + 'static, +{ + let config = config.unwrap_or_default(); + let handle = EnrichmentWorkerHandle::new(); + let worker_handle = handle.clone_handle(); + let batch_size = config.embedding_batch_size; + + let thread = std::thread::spawn(move || { + worker_handle.set_running(true); + tracing::info!("enrichment worker with embeddings started"); + + // Process all enrichment with embeddings + match memvid.lock() { + Ok(mut mv) => { + match mv.process_enrichment_with_embeddings(embedder, batch_size) { + Ok((frames, embeddings)) => { + // Update stats + for _ in 0..frames { + worker_handle.inc_frames_processed(); + } + worker_handle.inc_embeddings(embeddings as u64); + + // Commit changes + if let Err(err) = mv.commit() { + tracing::warn!(?err, "final commit failed"); + worker_handle.inc_errors(); + } + } + Err(err) => { + tracing::error!(?err, "enrichment with embeddings failed"); + worker_handle.inc_errors(); + } + } + } + Err(err) => { + tracing::error!(?err, "failed to acquire lock for enrichment"); + worker_handle.inc_errors(); + } + } + + worker_handle.set_running(false); + tracing::info!( + frames_processed = worker_handle.stats().frames_processed, + embeddings_generated = worker_handle.stats().embeddings_generated, + "enrichment worker with embeddings stopped" + ); + }); + + EnrichmentHandle { + handle, + thread: Some(thread), + } +} + +impl Memvid { + /// Get the number of frames pending enrichment. + #[must_use] + pub fn enrichment_queue_len(&self) -> usize { + self.toc.enrichment_queue.len() + } + + /// Check if any frames need enrichment. + #[must_use] + pub fn has_pending_enrichment(&self) -> bool { + !self.toc.enrichment_queue.is_empty() + } + + /// Get the next task from the enrichment queue. + #[must_use] + pub fn next_enrichment_task(&self) -> Option { + self.toc.enrichment_queue.tasks.first().cloned() + } + + /// Mark an enrichment task as complete. + pub fn complete_enrichment_task(&mut self, frame_id: FrameId) { + self.toc.enrichment_queue.remove(frame_id); + self.dirty = true; + } + + /// Read frame data needed for enrichment. + /// + /// Returns (`search_text`, `is_skim`, `needs_embedding`) if frame exists. + #[must_use] + pub fn read_frame_for_enrichment(&self, frame_id: FrameId) -> Option<(String, bool, bool)> { + let frame = self + .toc + .frames + .iter() + .find(|f| f.id == frame_id && f.status == FrameStatus::Active)?; + + let search_text = frame.search_text.clone().unwrap_or_default(); + + // Check if this is a skim extraction by looking at extra_metadata + let is_skim = frame + .extra_metadata + .get("skim") + .is_some_and(|v| v == "true"); + + // Check if embeddings are needed + let needs_embedding = frame.enrichment_state == EnrichmentState::Searchable; + + Some((search_text, is_skim, needs_embedding)) + } + + /// Perform full text extraction for a frame. + /// + /// This re-extracts the full text from the frame's payload without time budget. + pub fn extract_full_text(&mut self, frame_id: FrameId) -> Result { + // Clone the frame to avoid borrow conflicts + let frame = self + .toc + .frames + .iter() + .find(|f| f.id == frame_id && f.status == FrameStatus::Active) + .cloned() + .ok_or(crate::MemvidError::FrameNotFound { frame_id })?; + + // Read the payload + let payload = self.read_frame_payload_bytes(&frame)?; + + // Extract with no time budget + let mime_hint = frame.metadata.as_ref().and_then(|m| m.mime.as_deref()); + let uri_hint = frame.uri.as_deref(); + let budget = ExtractionBudget::unlimited(); + + match crate::extract_budgeted::extract_with_budget(&payload, mime_hint, uri_hint, budget) { + Ok(result) => Ok(result.text), + Err(_) => { + // Fall back to simple text extraction + // If budgeted extraction fails, return any search text we already have + Ok(frame.search_text.clone().unwrap_or_default()) + } + } + } + + /// Update the Tantivy index with enriched content. + #[cfg(feature = "lex")] + pub fn update_tantivy_for_enrichment(&mut self, frame_id: FrameId, text: &str) -> Result<()> { + let tantivy = match self.tantivy.as_mut() { + Some(t) => t, + None => return Ok(()), // No Tantivy engine, nothing to update + }; + + // Find the frame + let frame = self + .toc + .frames + .iter() + .find(|f| f.id == frame_id && f.status == FrameStatus::Active) + .ok_or(crate::MemvidError::FrameNotFound { frame_id })? + .clone(); + + // Delete old document + tantivy.delete_frame(frame_id)?; + + // Add updated document + tantivy.add_frame(&frame, text)?; + + // Soft commit for immediate searchability + tantivy.soft_commit()?; + + self.tantivy_dirty = true; + Ok(()) + } + + #[cfg(not(feature = "lex"))] + pub fn update_tantivy_for_enrichment(&mut self, _frame_id: FrameId, _text: &str) -> Result<()> { + Ok(()) + } + + /// Update frame's enrichment state. + pub fn mark_frame_enriched(&mut self, frame_id: FrameId) { + if let Some(frame) = self + .toc + .frames + .iter_mut() + .find(|f| f.id == frame_id && f.status == FrameStatus::Active) + { + frame.enrichment_state = EnrichmentState::Enriched; + self.dirty = true; + } + } + + /// Process a single enrichment task synchronously. + /// + /// This is useful for testing or when you don't want background processing. + pub fn process_enrichment_task(&mut self, task: &EnrichmentTask) -> TaskResult { + // Read frame data + let frame_data = self.read_frame_for_enrichment(task.frame_id); + + // Process with closures that capture self + let (search_text, is_skim, _needs_embedding) = match frame_data { + Some(data) => data, + None => { + return TaskResult { + frame_id: task.frame_id, + re_extracted: false, + embeddings_generated: 0, + elapsed_ms: 0, + error: Some("Frame not found".to_string()), + }; + } + }; + + let start = std::time::Instant::now(); + let mut result = TaskResult { + frame_id: task.frame_id, + re_extracted: false, + embeddings_generated: 0, + elapsed_ms: 0, + error: None, + }; + + // Re-extract if this was a skim + let final_text = if is_skim { + match self.extract_full_text(task.frame_id) { + Ok(full_text) => { + result.re_extracted = true; + full_text + } + Err(err) => { + tracing::warn!( + frame_id = task.frame_id, + ?err, + "re-extraction failed, using skim text" + ); + search_text + } + } + } else { + search_text + }; + + // Update Tantivy index + if let Err(err) = self.update_tantivy_for_enrichment(task.frame_id, &final_text) { + result.error = Some(format!("Index update failed: {err}")); + } + + // Mark frame as enriched + self.mark_frame_enriched(task.frame_id); + + result.elapsed_ms = start.elapsed().as_millis().try_into().unwrap_or(u64::MAX); + result + } + + /// Process all pending enrichment tasks synchronously. + /// + /// Returns the number of tasks processed. + pub fn process_all_enrichment(&mut self) -> usize { + let mut processed = 0; + + while let Some(task) = self.next_enrichment_task() { + let result = self.process_enrichment_task(&task); + self.complete_enrichment_task(task.frame_id); + + if result.error.is_some() { + tracing::warn!( + frame_id = task.frame_id, + error = ?result.error, + "enrichment task failed" + ); + } else { + tracing::debug!( + frame_id = task.frame_id, + re_extracted = result.re_extracted, + elapsed_ms = result.elapsed_ms, + "enrichment task complete" + ); + } + + processed += 1; + } + + processed + } + + /// Get enrichment statistics. + #[must_use] + pub fn enrichment_stats(&self) -> EnrichmentStats { + let total_frames = self + .toc + .frames + .iter() + .filter(|f| f.status == FrameStatus::Active) + .count(); + let enriched_frames = self + .toc + .frames + .iter() + .filter(|f| { + f.status == FrameStatus::Active && f.enrichment_state == EnrichmentState::Enriched + }) + .count(); + let pending_frames = self.enrichment_queue_len(); + + EnrichmentStats { + total_frames, + enriched_frames, + pending_frames, + searchable_only: total_frames.saturating_sub(enriched_frames), + } + } + + /// Add embeddings to the vector index. + /// + /// This method adds new embeddings for frames that were enriched. + /// It rebuilds the vector index to include the new embeddings. + pub fn add_embeddings(&mut self, embeddings: Vec<(FrameId, Vec)>) -> Result { + if embeddings.is_empty() { + return Ok(0); + } + + let count = embeddings.len(); + + // Build new vector index with existing + new embeddings + let mut builder = VecIndexBuilder::new(); + + // Add existing embeddings from current index + if let Some(ref vec_index) = self.vec_index { + for (frame_id, embedding) in vec_index.entries() { + // Skip if we're replacing this frame's embedding + if !embeddings.iter().any(|(id, _)| *id == frame_id) { + builder.add_document(frame_id, embedding.to_vec()); + } + } + } + + // Add new embeddings + for (frame_id, embedding) in embeddings { + builder.add_document(frame_id, embedding); + } + + // Finish building the index + let artifact = builder.finish()?; + if artifact.vector_count == 0 { + return Ok(0); + } + + // Decode and store the new index + let new_index = crate::vec::VecIndex::decode(&artifact.bytes)?; + self.vec_index = Some(new_index); + + // Update TOC with new manifest + self.toc.indexes.vec = Some(crate::types::VecIndexManifest { + vector_count: artifact.vector_count, + dimension: artifact.dimension, + bytes_offset: 0, // Will be set during commit + bytes_length: artifact.bytes.len() as u64, + checksum: artifact.checksum, + compression_mode: crate::types::VectorCompression::None, + model: self.vec_model.clone(), + }); + + self.dirty = true; + self.vec_enabled = true; + + tracing::debug!( + count, + total_vectors = artifact.vector_count, + dimension = artifact.dimension, + "added embeddings to vector index" + ); + + Ok(count) + } + + /// Process enrichment with embeddings using a batched embedder. + /// + /// This method processes the enrichment queue with embedding generation: + /// 1. Re-extracts full text for skim frames + /// 2. Generates embeddings in batches + /// 3. Updates indexes + /// 4. Marks frames as enriched + /// + /// Returns (`frames_processed`, `embeddings_generated`). + pub fn process_enrichment_with_embeddings( + &mut self, + embedder: E, + batch_size: usize, + ) -> Result<(usize, usize)> { + let mut batcher = EmbeddingBatcher::new(embedder, batch_size); + let mut frames_processed = 0; + let mut embeddings_generated = 0; + + // Collect all tasks first to avoid borrow conflicts + let tasks: Vec<_> = self.toc.enrichment_queue.tasks.clone(); + + for task in tasks { + // Read frame data + let frame_data = self.read_frame_for_enrichment(task.frame_id); + let (search_text, is_skim, needs_embedding) = match frame_data { + Some(data) => data, + None => continue, // Frame not found, skip + }; + + // Re-extract if this was a skim + let final_text = if is_skim { + match self.extract_full_text(task.frame_id) { + Ok(full_text) => full_text, + Err(err) => { + tracing::warn!(frame_id = task.frame_id, ?err, "re-extraction failed"); + search_text + } + } + } else { + search_text + }; + + // Update Tantivy index with enriched text + if let Err(err) = self.update_tantivy_for_enrichment(task.frame_id, &final_text) { + tracing::warn!(frame_id = task.frame_id, ?err, "tantivy update failed"); + } + + // Queue for embedding if needed + if needs_embedding && !final_text.trim().is_empty() { + batcher.add(task.frame_id, final_text); + + // Flush batch if ready + if batcher.should_flush() { + match batcher.flush() { + Ok(count) => { + embeddings_generated += count; + // Store ready embeddings + let ready = batcher.take_embeddings(); + if !ready.is_empty() { + if let Err(err) = self.add_embeddings(ready) { + tracing::warn!(?err, "failed to add embeddings"); + } + } + } + Err(err) => { + tracing::warn!(?err, "batch embedding failed"); + } + } + } + } + + // Mark frame as enriched + self.mark_frame_enriched(task.frame_id); + self.complete_enrichment_task(task.frame_id); + frames_processed += 1; + + // Update checkpoint in queue for crash recovery + let chunks_done = u32::try_from(embeddings_generated).unwrap_or(u32::MAX); + self.toc.enrichment_queue.update_checkpoint( + task.frame_id, + chunks_done, + task.chunks_total.max(chunks_done), + ); + } + + // Flush remaining batch + if batcher.pending_count() > 0 { + match batcher.flush() { + Ok(count) => { + embeddings_generated += count; + let ready = batcher.take_embeddings(); + if !ready.is_empty() { + if let Err(err) = self.add_embeddings(ready) { + tracing::warn!(?err, "failed to add final embeddings"); + } + } + } + Err(err) => { + tracing::warn!(?err, "final batch embedding failed"); + } + } + } + + tracing::info!( + frames_processed, + embeddings_generated, + "enrichment with embeddings complete" + ); + + Ok((frames_processed, embeddings_generated)) + } + + /// Check if vector embeddings are enabled. + #[must_use] + pub fn has_embeddings(&self) -> bool { + self.vec_enabled && self.vec_index.is_some() + } + + /// Get vector count from the index. + #[must_use] + pub fn vector_count(&self) -> usize { + self.toc.indexes.vec.as_ref().map_or(0, |m| { + #[allow(clippy::cast_possible_truncation)] + let count = m.vector_count as usize; + count + }) + } +} + +/// Statistics about enrichment state. +#[derive(Debug, Clone)] +pub struct EnrichmentStats { + /// Total active frames. + pub total_frames: usize, + /// Frames that have been fully enriched. + pub enriched_frames: usize, + /// Frames pending enrichment. + pub pending_frames: usize, + /// Frames that are searchable but not enriched. + pub searchable_only: usize, +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_enrichment_stats_default() { + let stats = EnrichmentStats { + total_frames: 100, + enriched_frames: 50, + pending_frames: 10, + searchable_only: 50, + }; + assert_eq!( + stats.enriched_frames + stats.searchable_only, + stats.total_frames + ); + } +} diff --git a/src/memvid/frame.rs b/src/memvid/frame.rs new file mode 100644 index 0000000..dfbcf19 --- /dev/null +++ b/src/memvid/frame.rs @@ -0,0 +1,681 @@ +//! Frame payload and preview helpers for `Memvid`. + +use std::fs::File; +use std::io::{self, Cursor, Read, Seek, SeekFrom}; + +use crate::error::{MemvidError, Result}; +use crate::memvid::lifecycle::Memvid; +use crate::types::{CanonicalEncoding, Frame, FrameId, FrameRole, FrameStatus, MediaManifest}; + +#[derive(Debug, Clone)] +pub(crate) struct ChunkInfo { + pub start: usize, + pub end: usize, + pub text: String, +} + +/// Streaming reader over canonical frame bytes. For binary payloads (e.g., video) the reader +/// clones the underlying file handle to avoid disturbing `Memvid`'s primary cursor. +pub struct BlobReader { + inner: BlobReaderInner, +} + +enum BlobReaderInner { + File { + file: File, + start: u64, + len: u64, + pos: u64, + }, + Memory(Cursor>), +} + +impl BlobReader { + fn from_file(file: File, start: u64, len: u64) -> Self { + Self { + inner: BlobReaderInner::File { + file, + start, + len, + pos: 0, + }, + } + } + + fn from_memory(bytes: Vec) -> Self { + Self { + inner: BlobReaderInner::Memory(Cursor::new(bytes)), + } + } + + #[must_use] + pub fn len(&self) -> u64 { + match &self.inner { + BlobReaderInner::File { len, .. } => *len, + BlobReaderInner::Memory(cursor) => cursor.get_ref().len() as u64, + } + } +} + +impl Read for BlobReader { + fn read(&mut self, buf: &mut [u8]) -> io::Result { + match &mut self.inner { + BlobReaderInner::File { + file, + start, + len, + pos, + } => { + let remaining = len.saturating_sub(*pos); + if remaining == 0 { + return Ok(0); + } + #[allow(clippy::cast_possible_truncation)] + let to_read = remaining.min(buf.len() as u64) as usize; + file.seek(SeekFrom::Start(*start + *pos))?; + let read = file.read(&mut buf[..to_read])?; + *pos += read as u64; + Ok(read) + } + BlobReaderInner::Memory(cursor) => cursor.read(buf), + } + } +} + +impl Seek for BlobReader { + fn seek(&mut self, position: SeekFrom) -> io::Result { + match &mut self.inner { + BlobReaderInner::File { + file, + start, + len, + pos, + } => { + let absolute = match position { + SeekFrom::Start(offset) => offset, + SeekFrom::End(delta) => { + let end = *len as i64; + let result = end.checked_add(delta).ok_or_else(|| { + io::Error::new(io::ErrorKind::InvalidInput, "seek overflow") + })?; + if result < 0 { + return Err(io::Error::new( + io::ErrorKind::InvalidInput, + "seek before start", + )); + } + result as u64 + } + SeekFrom::Current(delta) => { + let current = *pos as i64; + let result = current.checked_add(delta).ok_or_else(|| { + io::Error::new(io::ErrorKind::InvalidInput, "seek overflow") + })?; + if result < 0 { + return Err(io::Error::new( + io::ErrorKind::InvalidInput, + "seek before start", + )); + } + result as u64 + } + }; + + if absolute > *len { + return Err(io::Error::new( + io::ErrorKind::InvalidInput, + "seek beyond end", + )); + } + + *pos = absolute; + file.seek(SeekFrom::Start(*start + *pos))?; + Ok(*pos) + } + BlobReaderInner::Memory(cursor) => cursor.seek(position), + } + } +} + +fn mime_is_text(mime: &str) -> bool { + let normalized = mime + .split(';') + .next() + .unwrap_or(mime) + .trim() + .to_ascii_lowercase(); + matches!( + normalized.as_str(), + mime if mime.starts_with("text/") + || mime == "application/json" + || mime == "application/xml" + || mime == "application/javascript" + || mime == "application/xhtml+xml" + || mime == "application/rss+xml" + || mime == "application/rtf" + || mime == "application/toml" + || mime == "application/yaml" + || mime == "application/x-yaml" + || mime == "application/x-toml" + ) +} + +impl Memvid { + pub fn frame_by_id(&self, frame_id: FrameId) -> Result { + let index = + usize::try_from(frame_id).map_err(|_| MemvidError::FrameNotFound { frame_id })?; + self.toc + .frames + .get(index) + .cloned() + .ok_or(MemvidError::FrameNotFound { frame_id }) + } + + pub fn frame_by_uri(&self, uri: &str) -> Result { + let candidate = self + .toc + .frames + .iter() + .rev() + .find(|frame| { + frame + .uri + .as_deref() + .is_some_and(|candidate_uri| candidate_uri == uri) + && frame.status == FrameStatus::Active + }) + .or_else(|| { + self.toc + .frames + .iter() + .rev() + .find(|frame| frame.uri.as_deref() == Some(uri)) + }) + .cloned(); + + candidate.ok_or_else(|| MemvidError::FrameNotFoundByUri { + uri: uri.to_string(), + }) + } + + /// Find an active frame by its content BLAKE3 hash. + /// + /// This is used for deduplication - if a frame with the same content hash already exists, + /// we can skip re-ingestion. The hash is computed from the original file bytes. + /// + /// Returns `None` if no matching frame is found. + #[must_use] + pub fn find_frame_by_hash(&self, hash: &[u8; 32]) -> Option<&Frame> { + self.toc + .frames + .iter() + .rev() + .find(|frame| frame.status == FrameStatus::Active && frame.checksum == *hash) + } + + pub fn blob_reader(&mut self, frame_id: FrameId) -> Result { + let frame = self.frame_by_id(frame_id)?; + self.blob_reader_from_frame(frame) + } + + pub fn blob_reader_by_uri(&mut self, uri: &str) -> Result { + let frame = self.frame_by_uri(uri)?; + self.blob_reader_from_frame(frame) + } + + pub fn media_manifest(&self, frame_id: FrameId) -> Result> { + let frame = self.frame_by_id(frame_id)?; + Ok(frame.metadata.and_then(|meta| meta.media)) + } + + pub fn media_manifest_by_uri(&self, uri: &str) -> Result> { + let frame = self.frame_by_uri(uri)?; + Ok(frame.metadata.and_then(|meta| meta.media)) + } + + fn blob_reader_from_frame(&mut self, frame: Frame) -> Result { + match frame.canonical_encoding { + CanonicalEncoding::Plain => { + let mut file = self.file.try_clone()?; + file.seek(SeekFrom::Start(frame.payload_offset))?; + Ok(BlobReader::from_file( + file, + frame.payload_offset, + frame.payload_length, + )) + } + CanonicalEncoding::Zstd => { + let bytes = self.frame_canonical_bytes(&frame)?; + Ok(BlobReader::from_memory(bytes)) + } + } + } + + pub fn frame_canonical_payload(&mut self, frame_id: FrameId) -> Result> { + let frame = self.frame_by_id(frame_id)?; + self.frame_canonical_bytes(&frame) + } + + pub fn frame_preview_by_id(&mut self, frame_id: FrameId) -> Result { + let index = usize::try_from(frame_id).map_err(|_| MemvidError::InvalidTimeIndex { + reason: "frame id too large".into(), + })?; + let frame = self + .toc + .frames + .get(index) + .cloned() + .ok_or(MemvidError::InvalidTimeIndex { + reason: "frame id out of range".into(), + })?; + self.frame_preview(&frame) + } + + /// Get the full text content of a frame (no truncation). + /// + /// Unlike `frame_preview_by_id` which truncates for display purposes, + /// this returns the complete text content suitable for LLM processing. + pub fn frame_text_by_id(&mut self, frame_id: FrameId) -> Result { + let index = usize::try_from(frame_id).map_err(|_| MemvidError::InvalidTimeIndex { + reason: "frame id too large".into(), + })?; + let frame = self + .toc + .frames + .get(index) + .cloned() + .ok_or(MemvidError::InvalidTimeIndex { + reason: "frame id out of range".into(), + })?; + self.frame_content(&frame) + } + + pub(crate) fn frame_preview(&mut self, frame: &Frame) -> Result { + if let Some(text) = frame + .metadata + .as_ref() + .and_then(crate::image_preview_from_metadata) + { + return Ok(text); + } + + if let Some(video) = frame + .metadata + .as_ref() + .and_then(|meta| meta.media.as_ref()) + .filter(|media| media.kind.eq_ignore_ascii_case("video")) + { + let mut segments = Vec::new(); + let label = video + .filename + .as_deref() + .or(frame.title.as_deref()) + .or(frame.uri.as_deref()) + .unwrap_or("video"); + segments.push(format!("Video: {label}")); + if let Some(duration) = video.duration_ms { + let seconds = (duration as f64) / 1000.0; + segments.push(format!("{seconds:.1}s")); + } + if let (Some(width), Some(height)) = (video.width, video.height) { + segments.push(format!("{width}x{height}")); + } + if let Some(codec) = &video.codec { + if !codec.trim().is_empty() { + segments.push(codec.clone()); + } + } + return Ok(segments.join(" · ")); + } + + if let Some(search) = &frame.search_text { + return Ok(crate::truncate_preview(search)); + } + if frame.payload_length == 0 { + return Ok(String::new()); + } + match self.frame_canonical_text(frame) { + Ok(text) => Ok(crate::truncate_preview(&text)), + Err(_) => Ok("".into()), + } + } + + pub(crate) fn frame_content(&mut self, frame: &Frame) -> Result { + // Check search_text first - this handles no_raw mode where payload is empty + // but search_text contains the indexed content + if let Some(search) = &frame.search_text { + if !search.is_empty() { + return Ok(search.clone()); + } + } + if frame.payload_length == 0 && frame.chunk_manifest.is_none() { + return Ok(String::new()); + } + self.frame_canonical_text(frame) + } + + pub fn frame_embedding(&mut self, frame_id: FrameId) -> Result>> { + if !self.vec_enabled { + return Ok(None); + } + self.ensure_vec_index()?; + Ok(self + .vec_index + .as_ref() + .and_then(|index| index.embedding_for(frame_id).map(<[f32]>::to_vec))) + } + + pub fn frame_context(&mut self, frame_id: FrameId, query: &str) -> Result<(String, usize)> { + let index = usize::try_from(frame_id).map_err(|_| MemvidError::InvalidTimeIndex { + reason: "frame id too large".into(), + })?; + let frame = self + .toc + .frames + .get(index) + .cloned() + .ok_or(MemvidError::InvalidTimeIndex { + reason: "frame id out of range".into(), + })?; + let preview = self.frame_preview(&frame)?; + let content = self.frame_content(&frame)?; + let count = query + .split_whitespace() + .filter(|token| !token.is_empty()) + .map(str::to_lowercase) + .map(|needle| content.to_lowercase().matches(&needle).count()) + .sum(); + Ok((preview, count)) + } + + pub(crate) fn frame_canonical_bytes(&mut self, frame: &Frame) -> Result> { + if frame.role == FrameRole::Document && frame.chunk_manifest.is_some() { + let chunks = self.document_chunk_payloads(frame)?; + let mut buffer = Vec::new(); + for (_, bytes) in chunks { + buffer.extend_from_slice(&bytes); + } + return Ok(buffer); + } + let raw = self.read_frame_payload_bytes(frame)?; + let decoded = crate::decode_canonical_bytes(&raw, frame.canonical_encoding, frame.id)?; + if let Some(expected) = frame.canonical_length { + if decoded.len() as u64 != expected { + return Err(MemvidError::InvalidFrame { + frame_id: frame.id, + reason: "canonical length mismatch", + }); + } + } + Ok(decoded) + } + + pub(crate) fn frame_canonical_text(&mut self, frame: &Frame) -> Result { + if frame.role == FrameRole::Document && frame.chunk_manifest.is_some() { + let bytes = self.frame_canonical_bytes(frame)?; + return match String::from_utf8(bytes) { + Ok(text) => Ok(text), + Err(err) => { + let bytes = err.into_bytes(); + Ok(Self::render_binary_summary(bytes.len())) + } + }; + } + + if let Some(search) = &frame.search_text { + return Ok(search.clone()); + } + + if let Some(meta) = frame + .metadata + .as_ref() + .and_then(|meta| meta.mime.as_deref()) + { + if !mime_is_text(meta) { + let logical = frame + .canonical_length + .or(Some(frame.payload_length)) + .unwrap_or(frame.payload_length); + #[allow(clippy::cast_possible_truncation)] + return Ok(Self::render_binary_summary(logical as usize)); + } + } + + let bytes = self.frame_canonical_bytes(frame)?; + match String::from_utf8(bytes) { + Ok(text) => Ok(text), + Err(err) => { + let bytes = err.into_bytes(); + Ok(Self::render_binary_summary(bytes.len())) + } + } + } + + pub(crate) fn document_chunk_payloads( + &mut self, + frame: &Frame, + ) -> Result)>> { + let Some(manifest) = frame.chunk_manifest.as_ref() else { + return Err(MemvidError::InvalidFrame { + frame_id: frame.id, + reason: "document missing chunk manifest", + }); + }; + let mut children = self.document_chunk_frames(frame.id); + if children.is_empty() { + return Err(MemvidError::InvalidFrame { + frame_id: frame.id, + reason: "document chunk manifest missing children", + }); + } + if children.len() != manifest.chunks.len() { + return Err(MemvidError::InvalidFrame { + frame_id: frame.id, + reason: "chunk manifest length mismatch", + }); + } + children.sort_by_key(|child| (child.chunk_index.unwrap_or(u32::MAX), child.id)); + let mut payloads = Vec::with_capacity(children.len()); + for child in children { + let raw = self.read_frame_payload_bytes(&child)?; + let decoded = crate::decode_canonical_bytes(&raw, child.canonical_encoding, child.id)?; + if let Some(expected) = child.canonical_length { + if decoded.len() as u64 != expected { + return Err(MemvidError::InvalidFrame { + frame_id: child.id, + reason: "chunk canonical length mismatch", + }); + } + } + payloads.push((child, decoded)); + } + Ok(payloads) + } + + fn document_chunk_frames(&self, parent_id: FrameId) -> Vec { + let mut frames: Vec = self + .toc + .frames + .iter() + .filter(|candidate| { + candidate.status == FrameStatus::Active + && candidate.role == FrameRole::DocumentChunk + && candidate.parent_id == Some(parent_id) + }) + .cloned() + .collect(); + frames.sort_by_key(|frame| (frame.chunk_index.unwrap_or(u32::MAX), frame.id)); + frames + } + + pub(crate) fn resolve_chunk_context(&mut self, frame: &Frame) -> Result { + match frame.role { + FrameRole::Document => { + if frame.chunk_manifest.is_some() { + let payloads = self.document_chunk_payloads(frame)?; + if payloads.is_empty() { + return Err(MemvidError::InvalidFrame { + frame_id: frame.id, + reason: "document chunk manifest missing payloads", + }); + } + let (_, bytes) = match payloads.into_iter().next() { + Some(entry) => entry, + None => { + return Err(MemvidError::InvalidFrame { + frame_id: frame.id, + reason: "document chunk manifest missing payloads", + }); + } + }; + let text = String::from_utf8_lossy(&bytes).into_owned(); + let end = bytes.len(); + Ok(ChunkInfo { + start: 0, + end, + text, + }) + } else if let Some(search_text) = frame.search_text.clone() { + let end = search_text.len(); + Ok(ChunkInfo { + start: 0, + end, + text: search_text, + }) + } else { + let bytes = self.frame_canonical_bytes(frame)?; + let end = bytes.len(); + let text = String::from_utf8_lossy(&bytes).into_owned(); + Ok(ChunkInfo { + start: 0, + end, + text, + }) + } + } + FrameRole::DocumentChunk => { + // Try to resolve via parent's chunk manifest (new format) + if let Some(parent_id) = frame.parent_id { + // Safe frame lookup + if let Ok(index) = usize::try_from(parent_id) { + if let Some(parent) = self.toc.frames.get(index).cloned() { + if parent.chunk_manifest.is_some() { + if let Ok(payloads) = self.document_chunk_payloads(&parent) { + if let Some(idx) = frame.chunk_index { + let idx = idx as usize; + if idx < payloads.len() { + let mut offset = 0usize; + for (_, bytes) in payloads.iter().take(idx) { + offset += bytes.len(); + } + let (_, bytes) = &payloads[idx]; + let text = String::from_utf8_lossy(bytes).into_owned(); + let end = offset + bytes.len(); + return Ok(ChunkInfo { + start: offset, + end, + text, + }); + } + } + } + } + } + } + } + + // Fallback for legacy chunks: use search_text or raw bytes directly + if let Some(search_text) = frame.search_text.clone() { + let end = search_text.len(); + Ok(ChunkInfo { + start: 0, + end, + text: search_text, + }) + } else { + let bytes = self.frame_canonical_bytes(frame)?; + let end = bytes.len(); + let text = String::from_utf8_lossy(&bytes).into_owned(); + Ok(ChunkInfo { + start: 0, + end, + text, + }) + } + } + FrameRole::ExtractedImage => { + // Extracted images are binary - return empty text info + // They are meant to be viewed as images, not as text + Ok(ChunkInfo { + start: 0, + end: 0, + text: String::new(), + }) + } + } + } + + pub(crate) fn read_frame_payload_bytes(&mut self, frame: &Frame) -> Result> { + self.validate_frame_bounds(frame)?; + self.file.seek(SeekFrom::Start(frame.payload_offset))?; + // Safe: guarded by MAX_FRAME_BYTES check + #[allow(clippy::cast_possible_truncation)] + let mut buf = vec![0u8; frame.payload_length as usize]; + self.file.read_exact(&mut buf)?; + Ok(buf) + } + + pub(crate) fn validate_frame_bounds(&mut self, frame: &Frame) -> Result<()> { + if frame.payload_length == 0 { + return Ok(()); + } + + if frame.payload_length > crate::MAX_FRAME_BYTES { + return Err(MemvidError::InvalidFrame { + frame_id: frame.id, + reason: "payload length exceeds maximum", + }); + } + + let wal_region_end = self + .header + .wal_offset + .checked_add(self.header.wal_size) + .ok_or(MemvidError::InvalidFrame { + frame_id: frame.id, + reason: "wal region overflow", + })?; + + if frame.payload_offset < wal_region_end { + return Err(MemvidError::InvalidFrame { + frame_id: frame.id, + reason: "payload overlaps wal region", + }); + } + + let frame_end = frame + .payload_offset + .checked_add(frame.payload_length) + .ok_or(MemvidError::InvalidFrame { + frame_id: frame.id, + reason: "payload range overflow", + })?; + + if frame_end > self.data_end { + return Err(MemvidError::InvalidFrame { + frame_id: frame.id, + reason: "payload extends past data region", + }); + } + + let file_len = self.file.metadata()?.len(); + if frame_end > file_len { + return Err(MemvidError::InvalidFrame { + frame_id: frame.id, + reason: "payload extends past file length", + }); + } + + Ok(()) + } +} diff --git a/src/memvid/helpers.rs b/src/memvid/helpers.rs new file mode 100644 index 0000000..a354838 --- /dev/null +++ b/src/memvid/helpers.rs @@ -0,0 +1,167 @@ +// Safe expect: guaranteed non-empty iterators after length check. +#![allow(clippy::expect_used)] +use std::collections::HashMap; + +use crate::memvid::lifecycle::Memvid; +use crate::memvid::mutation::augment_search_text; +use crate::types::Frame; +use crate::types::{ + EmbeddingIdentity, EmbeddingIdentityCount, EmbeddingIdentitySummary, FrameStatus, +}; +use crate::{MemvidError, Result}; + +impl Memvid { + /// Returns the vector index dimension stored in the MV2 file, if available. + /// This is useful for auto-detecting which embedding model was used to create the file. + #[must_use] + pub fn vec_index_dimension(&self) -> Option { + self.toc + .indexes + .vec + .as_ref() + .map(|manifest| manifest.dimension) + .filter(|dim| *dim > 0) + } + + /// Returns the best-effort vector index dimension for this memory. + /// + /// This is segment-aware and supports both: + /// - Monolithic vector index manifests (`toc.indexes.vec.dimension`) + /// - Segment-based vector storage (`toc.segment_catalog.vec_segments[*].dimension`) + /// + /// Returns `Ok(None)` when no vector dimension information exists. + /// Returns an error if multiple, conflicting dimensions are detected. + pub fn effective_vec_index_dimension(&self) -> Result> { + let manifest_dim = self + .toc + .indexes + .vec + .as_ref() + .map(|manifest| manifest.dimension) + .filter(|dim| *dim > 0); + + let mut segment_dim: Option = None; + for descriptor in &self.toc.segment_catalog.vec_segments { + if descriptor.dimension == 0 { + continue; + } + match segment_dim { + None => segment_dim = Some(descriptor.dimension), + Some(existing) if existing == descriptor.dimension => {} + Some(existing) => { + return Err(MemvidError::InvalidToc { + reason: format!( + "mixed vector dimensions detected in segment catalog: {} and {}", + existing, descriptor.dimension + ) + .into(), + }); + } + } + } + + match (manifest_dim, segment_dim) { + (Some(manifest), Some(segment)) if manifest != segment => { + Err(MemvidError::InvalidToc { + reason: format!( + "vector dimension mismatch between manifest ({manifest}) and segment catalog ({segment})" + ) + .into(), + }) + } + (Some(manifest), _) => Ok(Some(manifest)), + (None, Some(segment)) => Ok(Some(segment)), + (None, None) => Ok(None), + } + } + + /// Summarize the embedding identity used by this memory, if present. + /// + /// The identity is inferred from per-frame `extra_metadata` keys: + /// - `memvid.embedding.provider` + /// - `memvid.embedding.model` + /// - `memvid.embedding.dimension` (optional) + /// - `memvid.embedding.normalized` (optional) + /// + /// To preserve `.mv2` binary compatibility, this metadata is stored per-frame rather than in + /// the TOC schema. This helper scans up to `max_frames` active frames and returns: + /// - `Unknown` if no identity metadata is present + /// - `Single` if exactly one identity is observed + /// - `Mixed` if multiple identities are observed (counts included, descending) + #[must_use] + pub fn embedding_identity_summary(&self, max_frames: usize) -> EmbeddingIdentitySummary { + let mut counts: HashMap = HashMap::new(); + let mut scanned = 0usize; + + for frame in &self.toc.frames { + if frame.status != FrameStatus::Active { + continue; + } + if scanned >= max_frames { + break; + } + scanned += 1; + + if let Some(identity) = EmbeddingIdentity::from_extra_metadata(&frame.extra_metadata) { + *counts.entry(identity).or_insert(0) += 1; + } + } + + if counts.is_empty() { + return EmbeddingIdentitySummary::Unknown; + } + if counts.len() == 1 { + return EmbeddingIdentitySummary::Single( + counts + .into_iter() + .next() + .map(|(identity, _)| identity) + .expect("counts.len()==1 implies one entry"), + ); + } + + let mut identities: Vec = counts + .into_iter() + .map(|(identity, count)| EmbeddingIdentityCount { identity, count }) + .collect(); + identities.sort_by(|a, b| b.count.cmp(&a.count)); + EmbeddingIdentitySummary::Mixed(identities) + } + + pub(crate) fn render_binary_summary(len: usize) -> String { + if len == 0 { + "".into() + } else { + format!("") + } + } + + pub(crate) fn augment_text_for_frame( + &mut self, + base: Option, + frame: &Frame, + ) -> Option { + augment_search_text( + base, + frame.uri.as_deref(), + frame.title.as_deref(), + frame.track.as_deref(), + &frame.tags, + &frame.labels, + &frame.extra_metadata, + &frame.content_dates, + frame.metadata.as_ref(), + ) + } + + pub(crate) fn frame_search_text(&mut self, frame: &Frame) -> Result { + if let Some(text) = &frame.search_text { + Ok(text.clone()) + } else { + let base = self.frame_content(frame)?; + Ok(self + .augment_text_for_frame(Some(base), frame) + .unwrap_or_default()) + } + } +} diff --git a/src/memvid/lifecycle.rs b/src/memvid/lifecycle.rs new file mode 100644 index 0000000..b937db6 --- /dev/null +++ b/src/memvid/lifecycle.rs @@ -0,0 +1,1598 @@ +//! Lifecycle management for creating and opening `.mv2` memories. +//! +//! Responsibilities: +//! - Enforce single-file invariant (no sidecars) and take OS locks. +//! - Bootstrap headers, internal WAL, and TOC on create, and recover them on open. +//! - Validate TOC/footer layout, recover the latest valid footer when needed. +//! - Wire up index state (lex/vector/time) without mutating payload bytes. + +use std::convert::TryInto; +use std::fs::{File, OpenOptions}; +use std::io::{Read, Seek, SeekFrom}; +use std::panic; +use std::path::{Path, PathBuf}; +use std::sync::{Arc, RwLock}; + +use crate::constants::{MAGIC, SPEC_VERSION, WAL_OFFSET, WAL_SIZE_TINY}; +use crate::error::{MemvidError, Result}; +use crate::footer::{FooterSlice, find_last_valid_footer}; +use crate::io::header::HeaderCodec; +#[cfg(feature = "parallel_segments")] +use crate::io::manifest_wal::ManifestWal; +use crate::io::wal::EmbeddedWal; +use crate::lock::{FileLock, LockMode}; +#[cfg(feature = "lex")] +use crate::search::{EmbeddedLexStorage, TantivyEngine}; +#[cfg(feature = "temporal_track")] +use crate::types::FrameId; +#[cfg(feature = "parallel_segments")] +use crate::types::IndexSegmentRef; +use crate::types::{ + FrameStatus, Header, IndexManifests, LogicMesh, MemoriesTrack, PutManyOpts, SchemaRegistry, + SegmentCatalog, SketchTrack, TicketRef, Tier, Toc, VectorCompression, +}; +#[cfg(feature = "temporal_track")] +use crate::{TemporalTrack, temporal_track_read}; +use crate::{lex::LexIndex, vec::VecIndex}; +use blake3::Hasher; +use memmap2::Mmap; + +const DEFAULT_LOCK_TIMEOUT_MS: u64 = 250; +const DEFAULT_HEARTBEAT_MS: u64 = 2_000; +const DEFAULT_STALE_GRACE_MS: u64 = 10_000; + +/// Primary handle for interacting with a `.mv2` memory file. +/// +/// Holds the file descriptor, lock, header, TOC, and in-memory index state. Mutations +/// append to the embedded WAL and are materialized at commit time to keep the layout deterministic. +pub struct Memvid { + pub(crate) file: File, + pub(crate) path: PathBuf, + pub(crate) lock: FileLock, + pub(crate) read_only: bool, + pub(crate) header: Header, + pub(crate) toc: Toc, + pub(crate) wal: EmbeddedWal, + /// Number of frame inserts appended to WAL but not yet materialized into `toc.frames`. + /// + /// This lets frontends predict stable frame IDs before an explicit commit. + pub(crate) pending_frame_inserts: u64, + pub(crate) data_end: u64, + /// Cached end of the payload region (max of payload_offset + payload_length across all frames). + /// Updated incrementally on frame insert to avoid O(n) scans. + pub(crate) cached_payload_end: u64, + pub(crate) generation: u64, + pub(crate) lock_settings: LockSettings, + pub(crate) lex_enabled: bool, + pub(crate) lex_index: Option, + #[cfg(feature = "lex")] + #[allow(dead_code)] + pub(crate) lex_storage: Arc>, + pub(crate) vec_enabled: bool, + pub(crate) vec_compression: VectorCompression, + pub(crate) vec_model: Option, + pub(crate) vec_index: Option, + /// CLIP visual embeddings index (separate from vec due to different dimensions) + pub(crate) clip_enabled: bool, + pub(crate) clip_index: Option, + pub(crate) dirty: bool, + #[cfg(feature = "lex")] + pub(crate) tantivy: Option, + #[cfg(feature = "lex")] + pub(crate) tantivy_dirty: bool, + #[cfg(feature = "temporal_track")] + pub(crate) temporal_track: Option, + #[cfg(feature = "parallel_segments")] + pub(crate) manifest_wal: Option, + /// In-memory track for structured memory cards. + pub(crate) memories_track: MemoriesTrack, + /// In-memory Logic-Mesh graph for entity-relationship traversal. + pub(crate) logic_mesh: LogicMesh, + /// In-memory sketch track for fast candidate generation. + pub(crate) sketch_track: SketchTrack, + /// Schema registry for predicate validation. + pub(crate) schema_registry: SchemaRegistry, + /// Whether to enforce strict schema validation on card insert. + pub(crate) schema_strict: bool, + /// Active batch mode options (set by `begin_batch`, cleared by `end_batch`). + pub(crate) batch_opts: Option, + /// Active replay session being recorded (if any). + #[cfg(feature = "replay")] + pub(crate) active_session: Option, + /// Completed sessions stored in memory (until persisted to file). + #[cfg(feature = "replay")] + pub(crate) completed_sessions: Vec, +} + +/// Controls read-only open behaviour for `.mv2` memories. +#[derive(Debug, Clone, Copy, Default)] +pub struct OpenReadOptions { + pub allow_repair: bool, +} + +#[derive(Debug, Clone)] +pub struct LockSettings { + pub timeout_ms: u64, + pub heartbeat_ms: u64, + pub stale_grace_ms: u64, + pub force_stale: bool, + pub command: Option, +} + +impl Default for LockSettings { + fn default() -> Self { + Self { + timeout_ms: DEFAULT_LOCK_TIMEOUT_MS, + heartbeat_ms: DEFAULT_HEARTBEAT_MS, + stale_grace_ms: DEFAULT_STALE_GRACE_MS, + force_stale: false, + command: None, + } + } +} + +impl Memvid { + /// Create a new, empty `.mv2` file with an embedded WAL and empty TOC. + /// The file is locked exclusively for the lifetime of the handle. + pub fn create>(path: P) -> Result { + let path_ref = path.as_ref(); + ensure_single_file(path_ref)?; + + OpenOptions::new() + .read(true) + .write(true) + .create(true) + .truncate(true) + .open(path_ref)?; + let (mut file, lock) = FileLock::open_and_lock(path_ref)?; + + let header = Header { + magic: MAGIC, + version: SPEC_VERSION, + footer_offset: WAL_OFFSET + WAL_SIZE_TINY, + wal_offset: WAL_OFFSET, + wal_size: WAL_SIZE_TINY, + wal_checkpoint_pos: 0, + wal_sequence: 0, + toc_checksum: [0u8; 32], + }; + + let mut toc = empty_toc(); + // If lex feature is enabled, set the catalog flag immediately + #[cfg(feature = "lex")] + { + toc.segment_catalog.lex_enabled = true; + } + file.set_len(header.footer_offset)?; + HeaderCodec::write(&mut file, &header)?; + + let wal = EmbeddedWal::open(&file, &header)?; + let data_end = header.footer_offset; + #[cfg(feature = "lex")] + let lex_storage = Arc::new(RwLock::new(EmbeddedLexStorage::new())); + #[cfg(feature = "parallel_segments")] + let manifest_wal = ManifestWal::open(manifest_wal_path(path_ref))?; + #[cfg(feature = "parallel_segments")] + let manifest_wal_entries = manifest_wal.replay()?; + + // No frames yet, so payload region ends at WAL boundary + let cached_payload_end = header.wal_offset + header.wal_size; + + let mut memvid = Self { + file, + path: path_ref.to_path_buf(), + lock, + read_only: false, + header, + toc, + wal, + pending_frame_inserts: 0, + data_end, + cached_payload_end, + generation: 0, + lock_settings: LockSettings::default(), + lex_enabled: cfg!(feature = "lex"), // Enable by default if feature is enabled + lex_index: None, + #[cfg(feature = "lex")] + lex_storage, + vec_enabled: cfg!(feature = "vec"), // Enable by default if feature is enabled + vec_compression: VectorCompression::None, + vec_model: None, + vec_index: None, + clip_enabled: cfg!(feature = "clip"), // Enable by default if feature is enabled + clip_index: None, + dirty: false, + #[cfg(feature = "lex")] + tantivy: None, + #[cfg(feature = "lex")] + tantivy_dirty: false, + #[cfg(feature = "temporal_track")] + temporal_track: None, + #[cfg(feature = "parallel_segments")] + manifest_wal: Some(manifest_wal), + memories_track: MemoriesTrack::new(), + logic_mesh: LogicMesh::new(), + sketch_track: SketchTrack::default(), + schema_registry: SchemaRegistry::new(), + schema_strict: false, + batch_opts: None, + #[cfg(feature = "replay")] + active_session: None, + #[cfg(feature = "replay")] + completed_sessions: Vec::new(), + }; + + #[cfg(feature = "lex")] + memvid.init_tantivy()?; + + #[cfg(feature = "parallel_segments")] + memvid.load_manifest_segments(manifest_wal_entries); + + memvid.bootstrap_segment_catalog(); + + // Create empty manifests for enabled indexes so they persist across open/close + let empty_offset = memvid.data_end; + let empty_checksum = *b"\xe3\xb0\xc4\x42\x98\xfc\x1c\x14\x9a\xfb\xf4\xc8\x99\x6f\xb9\x24\ + \x27\xae\x41\xe4\x64\x9b\x93\x4c\xa4\x95\x99\x1b\x78\x52\xb8\x55"; + + #[cfg(feature = "lex")] + if memvid.lex_enabled && memvid.toc.indexes.lex.is_none() { + memvid.toc.indexes.lex = Some(crate::types::LexIndexManifest { + doc_count: 0, + generation: 0, + bytes_offset: empty_offset, + bytes_length: 0, + checksum: empty_checksum, + }); + } + + #[cfg(feature = "vec")] + if memvid.vec_enabled && memvid.toc.indexes.vec.is_none() { + memvid.toc.indexes.vec = Some(crate::types::VecIndexManifest { + vector_count: 0, + dimension: 0, + bytes_offset: empty_offset, + bytes_length: 0, + checksum: empty_checksum, + compression_mode: memvid.vec_compression.clone(), + model: memvid.vec_model.clone(), + }); + } + + memvid.rewrite_toc_footer()?; + memvid.header.toc_checksum = memvid.toc.toc_checksum; + crate::persist_header(&mut memvid.file, &memvid.header)?; + memvid.file.sync_all()?; + Ok(memvid) + } + + #[must_use] + pub fn lock_settings(&self) -> &LockSettings { + &self.lock_settings + } + + pub fn lock_settings_mut(&mut self) -> &mut LockSettings { + &mut self.lock_settings + } + + /// Set the vector compression mode for this memory + /// Must be called before ingesting documents with embeddings + pub fn set_vector_compression(&mut self, compression: VectorCompression) { + self.vec_compression = compression; + } + + /// Get the current vector compression mode + #[must_use] + pub fn vector_compression(&self) -> &VectorCompression { + &self.vec_compression + } + + /// Predict the next frame ID that would be assigned to a new insert. + /// + /// Frame IDs are dense indices into `toc.frames`. When a memory is mutable, inserts are first + /// appended to the embedded WAL and only materialized into `toc.frames` on commit. This helper + /// lets frontends allocate stable frame IDs before an explicit commit. + #[must_use] + pub fn next_frame_id(&self) -> u64 { + (self.toc.frames.len() as u64).saturating_add(self.pending_frame_inserts) + } + + /// Returns the total number of frames in the memory. + /// + /// This includes all frames regardless of status (active, deleted, etc.). + #[must_use] + pub fn frame_count(&self) -> usize { + self.toc.frames.len() + } + + fn open_locked(mut file: File, lock: FileLock, path_ref: &Path) -> Result { + // Fast-path detection for encrypted capsules (.mv2e). + // This avoids confusing "invalid header" errors and provides an actionable hint. + let mut magic = [0u8; 4]; + let is_mv2e = file.read_exact(&mut magic).is_ok() && magic == *b"MV2E"; + file.seek(SeekFrom::Start(0))?; + if is_mv2e { + return Err(MemvidError::EncryptedFile { + path: path_ref.to_path_buf(), + hint: format!("Run: memvid unlock {}", path_ref.display()), + }); + } + + let mut header = HeaderCodec::read(&mut file)?; + let toc = match read_toc(&mut file, &header) { + Ok(toc) => toc, + Err(err @ (MemvidError::Decode(_) | MemvidError::InvalidToc { .. })) => { + tracing::info!("toc decode failed ({}); attempting recovery", err); + let (toc, recovered_offset) = recover_toc(&mut file, Some(header.footer_offset))?; + if recovered_offset != header.footer_offset + || header.toc_checksum != toc.toc_checksum + { + header.footer_offset = recovered_offset; + header.toc_checksum = toc.toc_checksum; + crate::persist_header(&mut file, &header)?; + } + toc + } + Err(err) => return Err(err), + }; + let checksum_result = toc.verify_checksum(); + + // Validate segment integrity early to catch corruption before loading indexes + let file_len = file.metadata().map(|m| m.len()).unwrap_or(0); + if let Err(e) = validate_segment_integrity(&toc, &header, file_len) { + tracing::warn!("Segment integrity validation failed: {}", e); + // Don't fail file open - let doctor handle it + // This is just an early warning system + } + ensure_non_overlapping_frames(&toc, file_len)?; + + let wal = EmbeddedWal::open(&file, &header)?; + #[cfg(feature = "lex")] + let lex_storage = Arc::new(RwLock::new(EmbeddedLexStorage::from_manifest( + toc.indexes.lex.as_ref(), + &toc.indexes.lex_segments, + ))); + #[cfg(feature = "parallel_segments")] + let manifest_wal = ManifestWal::open(manifest_wal_path(path_ref))?; + #[cfg(feature = "parallel_segments")] + let manifest_wal_entries = manifest_wal.replay()?; + + let generation = detect_generation(&file)?.unwrap_or(0); + let read_only = lock.mode() == LockMode::Shared; + + let mut memvid = Self { + file, + path: path_ref.to_path_buf(), + lock, + read_only, + header, + toc, + wal, + pending_frame_inserts: 0, + data_end: 0, + cached_payload_end: 0, + generation, + lock_settings: LockSettings::default(), + lex_enabled: false, + lex_index: None, + #[cfg(feature = "lex")] + lex_storage, + vec_enabled: false, + vec_compression: VectorCompression::None, + vec_model: None, + vec_index: None, + clip_enabled: false, + clip_index: None, + dirty: false, + #[cfg(feature = "lex")] + tantivy: None, + #[cfg(feature = "lex")] + tantivy_dirty: false, + #[cfg(feature = "temporal_track")] + temporal_track: None, + #[cfg(feature = "parallel_segments")] + manifest_wal: Some(manifest_wal), + memories_track: MemoriesTrack::new(), + logic_mesh: LogicMesh::new(), + sketch_track: SketchTrack::default(), + schema_registry: SchemaRegistry::new(), + schema_strict: false, + batch_opts: None, + #[cfg(feature = "replay")] + active_session: None, + #[cfg(feature = "replay")] + completed_sessions: Vec::new(), + }; + memvid.data_end = compute_data_end(&memvid.toc, &memvid.header); + // One-time O(n) scan to initialize cached_payload_end from existing frames + memvid.cached_payload_end = compute_payload_region_end(&memvid.toc, &memvid.header); + // Use consolidated helper for lex_enabled check + memvid.lex_enabled = has_lex_index(&memvid.toc); + if memvid.lex_enabled { + memvid.load_lex_index_from_manifest()?; + } + #[cfg(feature = "lex")] + { + memvid.init_tantivy()?; + } + memvid.vec_enabled = + memvid.toc.indexes.vec.is_some() || !memvid.toc.segment_catalog.vec_segments.is_empty(); + if memvid.vec_enabled { + memvid.load_vec_index_from_manifest()?; + } + memvid.clip_enabled = memvid.toc.indexes.clip.is_some(); + if memvid.clip_enabled { + memvid.load_clip_index_from_manifest()?; + } + memvid.recover_wal()?; + #[cfg(feature = "parallel_segments")] + memvid.load_manifest_segments(manifest_wal_entries); + memvid.bootstrap_segment_catalog(); + #[cfg(feature = "temporal_track")] + memvid.ensure_temporal_track_loaded()?; + memvid.load_memories_track()?; + memvid.load_logic_mesh()?; + memvid.load_sketch_track()?; + if checksum_result.is_err() { + memvid.toc.verify_checksum()?; + if memvid.toc.toc_checksum != memvid.header.toc_checksum { + memvid.header.toc_checksum = memvid.toc.toc_checksum; + crate::persist_header(&mut memvid.file, &memvid.header)?; + memvid.file.sync_all()?; + } + } + Ok(memvid) + } + + /// Open an existing `.mv2` with exclusive access, performing recovery if needed. + pub fn open>(path: P) -> Result { + let path_ref = path.as_ref(); + ensure_single_file(path_ref)?; + + let (file, lock) = FileLock::open_and_lock(path_ref)?; + Self::open_locked(file, lock, path_ref) + } + + pub fn open_read_only>(path: P) -> Result { + Self::open_read_only_with_options(path, OpenReadOptions::default()) + } + + pub fn open_read_only_with_options>( + path: P, + options: OpenReadOptions, + ) -> Result { + let path_ref = path.as_ref(); + ensure_single_file(path_ref)?; + + if options.allow_repair { + return Self::open(path_ref); + } + + Self::open_read_only_snapshot(path_ref) + } + + fn open_read_only_snapshot(path_ref: &Path) -> Result { + let mut file = OpenOptions::new().read(true).write(true).open(path_ref)?; + let TailSnapshot { + toc, + footer_offset, + data_end, + generation, + } = load_tail_snapshot(&file)?; + + let mut header = HeaderCodec::read(&mut file)?; + header.footer_offset = footer_offset; + header.toc_checksum = toc.toc_checksum; + + let lock = FileLock::acquire_with_mode(&file, LockMode::Shared)?; + let wal = EmbeddedWal::open_read_only(&file, &header)?; + + #[cfg(feature = "lex")] + let lex_storage = Arc::new(RwLock::new(EmbeddedLexStorage::from_manifest( + toc.indexes.lex.as_ref(), + &toc.indexes.lex_segments, + ))); + + let cached_payload_end = compute_payload_region_end(&toc, &header); + + let mut memvid = Self { + file, + path: path_ref.to_path_buf(), + lock, + read_only: true, + header, + toc, + wal, + pending_frame_inserts: 0, + data_end, + cached_payload_end, + generation, + lock_settings: LockSettings::default(), + lex_enabled: false, + lex_index: None, + #[cfg(feature = "lex")] + lex_storage, + vec_enabled: false, + vec_compression: VectorCompression::None, + vec_model: None, + vec_index: None, + clip_enabled: false, + clip_index: None, + dirty: false, + #[cfg(feature = "lex")] + tantivy: None, + #[cfg(feature = "lex")] + tantivy_dirty: false, + #[cfg(feature = "temporal_track")] + temporal_track: None, + #[cfg(feature = "parallel_segments")] + manifest_wal: None, + memories_track: MemoriesTrack::new(), + logic_mesh: LogicMesh::new(), + sketch_track: SketchTrack::default(), + schema_registry: SchemaRegistry::new(), + schema_strict: false, + batch_opts: None, + #[cfg(feature = "replay")] + active_session: None, + #[cfg(feature = "replay")] + completed_sessions: Vec::new(), + }; + + // Use consolidated helper for lex_enabled check + memvid.lex_enabled = has_lex_index(&memvid.toc); + if memvid.lex_enabled { + memvid.load_lex_index_from_manifest()?; + } + #[cfg(feature = "lex")] + memvid.init_tantivy()?; + + memvid.vec_enabled = + memvid.toc.indexes.vec.is_some() || !memvid.toc.segment_catalog.vec_segments.is_empty(); + if memvid.vec_enabled { + memvid.load_vec_index_from_manifest()?; + } + memvid.clip_enabled = memvid.toc.indexes.clip.is_some(); + if memvid.clip_enabled { + memvid.load_clip_index_from_manifest()?; + } + // Load memories track, Logic-Mesh, and sketch track if present + memvid.load_memories_track()?; + memvid.load_logic_mesh()?; + memvid.load_sketch_track()?; + + memvid.bootstrap_segment_catalog(); + #[cfg(feature = "temporal_track")] + memvid.ensure_temporal_track_loaded()?; + + Ok(memvid) + } + + pub(crate) fn try_open>(path: P) -> Result { + let path_ref = path.as_ref(); + ensure_single_file(path_ref)?; + + let file = OpenOptions::new().read(true).write(true).open(path_ref)?; + let lock = match FileLock::try_acquire(&file, path_ref)? { + Some(lock) => lock, + None => { + return Err(MemvidError::Lock( + "exclusive access unavailable for doctor".to_string(), + )); + } + }; + Self::open_locked(file, lock, path_ref) + } + + fn bootstrap_segment_catalog(&mut self) { + let catalog = &mut self.toc.segment_catalog; + if catalog.version == 0 { + catalog.version = 1; + } + if catalog.next_segment_id == 0 { + let mut max_id = 0u64; + for descriptor in &catalog.lex_segments { + max_id = max_id.max(descriptor.common.segment_id); + } + for descriptor in &catalog.vec_segments { + max_id = max_id.max(descriptor.common.segment_id); + } + for descriptor in &catalog.time_segments { + max_id = max_id.max(descriptor.common.segment_id); + } + #[cfg(feature = "temporal_track")] + for descriptor in &catalog.temporal_segments { + max_id = max_id.max(descriptor.common.segment_id); + } + #[cfg(feature = "parallel_segments")] + for descriptor in &catalog.index_segments { + max_id = max_id.max(descriptor.common.segment_id); + } + if max_id > 0 { + catalog.next_segment_id = max_id.saturating_add(1); + } + } + } + + #[cfg(feature = "parallel_segments")] + fn load_manifest_segments(&mut self, entries: Vec) { + if entries.is_empty() { + return; + } + for entry in entries { + let duplicate = self + .toc + .segment_catalog + .index_segments + .iter() + .any(|existing| existing.common.segment_id == entry.common.segment_id); + if !duplicate { + self.toc.segment_catalog.index_segments.push(entry); + } + } + } + + /// Load the memories track from the manifest if present. + fn load_memories_track(&mut self) -> Result<()> { + let manifest = match &self.toc.memories_track { + Some(m) => m, + None => return Ok(()), + }; + + // Read the compressed data from the file + if manifest.bytes_length > crate::MAX_INDEX_BYTES { + return Err(MemvidError::InvalidToc { + reason: "memories track exceeds safety limit".into(), + }); + } + // Safe: guarded by MAX_INDEX_BYTES check above + #[allow(clippy::cast_possible_truncation)] + let mut buf = vec![0u8; manifest.bytes_length as usize]; + self.file + .seek(std::io::SeekFrom::Start(manifest.bytes_offset))?; + self.file.read_exact(&mut buf)?; + + // Verify checksum + let actual_checksum: [u8; 32] = blake3::hash(&buf).into(); + if actual_checksum != manifest.checksum { + return Err(MemvidError::InvalidToc { + reason: "memories track checksum mismatch".into(), + }); + } + + // Deserialize the memories track + self.memories_track = MemoriesTrack::deserialize(&buf)?; + + Ok(()) + } + + /// Load the Logic-Mesh from the manifest if present. + fn load_logic_mesh(&mut self) -> Result<()> { + let manifest = match &self.toc.logic_mesh { + Some(m) => m, + None => return Ok(()), + }; + + // Read the serialized data from the file + if manifest.bytes_length > crate::MAX_INDEX_BYTES { + return Err(MemvidError::InvalidToc { + reason: "logic mesh exceeds safety limit".into(), + }); + } + // Safe: guarded by MAX_INDEX_BYTES check above + #[allow(clippy::cast_possible_truncation)] + let mut buf = vec![0u8; manifest.bytes_length as usize]; + self.file + .seek(std::io::SeekFrom::Start(manifest.bytes_offset))?; + self.file.read_exact(&mut buf)?; + + // Verify checksum + let actual_checksum: [u8; 32] = blake3::hash(&buf).into(); + if actual_checksum != manifest.checksum { + return Err(MemvidError::InvalidToc { + reason: "logic mesh checksum mismatch".into(), + }); + } + + // Deserialize the logic mesh + self.logic_mesh = LogicMesh::deserialize(&buf)?; + + Ok(()) + } + + /// Load the sketch track from the manifest if present. + fn load_sketch_track(&mut self) -> Result<()> { + let manifest = match &self.toc.sketch_track { + Some(m) => m.clone(), + None => return Ok(()), + }; + + // Read and deserialize the sketch track (read_sketch_track handles seeking and checksum) + self.sketch_track = crate::types::read_sketch_track( + &mut self.file, + manifest.bytes_offset, + manifest.bytes_length, + )?; + + Ok(()) + } + + #[cfg(feature = "temporal_track")] + pub(crate) fn ensure_temporal_track_loaded(&mut self) -> Result<()> { + if self.temporal_track.is_some() { + return Ok(()); + } + let manifest = match &self.toc.temporal_track { + Some(manifest) => manifest.clone(), + None => return Ok(()), + }; + if manifest.bytes_length == 0 { + return Ok(()); + } + let file_len = self.file.metadata()?.len(); + let Some(end) = manifest.bytes_offset.checked_add(manifest.bytes_length) else { + return Ok(()); + }; + if end > file_len { + return Ok(()); + } + match temporal_track_read(&mut self.file, manifest.bytes_offset, manifest.bytes_length) { + Ok(track) => self.temporal_track = Some(track), + Err(MemvidError::InvalidTemporalTrack { .. }) => { + return Ok(()); + } + Err(err) => return Err(err), + } + Ok(()) + } + + #[cfg(feature = "temporal_track")] + pub(crate) fn temporal_track_ref(&mut self) -> Result> { + self.ensure_temporal_track_loaded()?; + Ok(self.temporal_track.as_ref()) + } + + #[cfg(feature = "temporal_track")] + pub(crate) fn temporal_anchor_timestamp(&mut self, frame_id: FrameId) -> Result> { + self.ensure_temporal_track_loaded()?; + let Some(track) = self.temporal_track.as_ref() else { + return Ok(None); + }; + if !track.capabilities().has_anchors { + return Ok(None); + } + Ok(track + .anchor_for_frame(frame_id) + .map(|anchor| anchor.anchor_ts)) + } + + #[cfg(feature = "temporal_track")] + pub(crate) fn clear_temporal_track_cache(&mut self) { + self.temporal_track = None; + } + + #[cfg(feature = "temporal_track")] + pub(crate) fn effective_temporal_timestamp( + &mut self, + frame_id: FrameId, + fallback: i64, + ) -> Result { + Ok(self + .temporal_anchor_timestamp(frame_id)? + .unwrap_or(fallback)) + } + + #[cfg(not(feature = "temporal_track"))] + pub(crate) fn effective_temporal_timestamp( + &mut self, + _frame_id: crate::types::FrameId, + fallback: i64, + ) -> Result { + Ok(fallback) + } + + /// Get current memory binding information. + /// + /// Returns the binding if this file is bound to a dashboard memory, + /// or None if unbound. + #[must_use] + pub fn get_memory_binding(&self) -> Option<&crate::types::MemoryBinding> { + self.toc.memory_binding.as_ref() + } + + /// Bind this file to a dashboard memory. + /// + /// This stores the binding in the TOC and applies a temporary ticket for initial binding. + /// The caller should follow up with `apply_signed_ticket` for cryptographic verification. + /// + /// # Errors + /// + /// Returns `MemoryAlreadyBound` if this file is already bound to a different memory. + #[allow(deprecated)] + pub fn bind_memory( + &mut self, + binding: crate::types::MemoryBinding, + ticket: crate::types::Ticket, + ) -> Result<()> { + // Check existing binding + if let Some(existing) = self.get_memory_binding() { + if existing.memory_id != binding.memory_id { + return Err(MemvidError::MemoryAlreadyBound { + existing_memory_id: existing.memory_id, + existing_memory_name: existing.memory_name.clone(), + bound_at: existing.bound_at.to_rfc3339(), + }); + } + } + + // Apply ticket for capacity + self.apply_ticket(ticket)?; + + // Store binding in TOC + self.toc.memory_binding = Some(binding); + self.dirty = true; + + Ok(()) + } + + /// Set only the memory binding without applying a ticket. + /// + /// This is used when the caller will immediately follow up with `apply_signed_ticket` + /// to apply the cryptographically verified ticket. This avoids the sequence number + /// conflict that occurs when using `bind_memory` with a temporary ticket. + /// + /// # Errors + /// + /// Returns `MemoryAlreadyBound` if this file is already bound to a different memory. + pub fn set_memory_binding_only(&mut self, binding: crate::types::MemoryBinding) -> Result<()> { + self.ensure_writable()?; + + // Check existing binding + if let Some(existing) = self.get_memory_binding() { + if existing.memory_id != binding.memory_id { + return Err(MemvidError::MemoryAlreadyBound { + existing_memory_id: existing.memory_id, + existing_memory_name: existing.memory_name.clone(), + bound_at: existing.bound_at.to_rfc3339(), + }); + } + } + + // Store binding in TOC (without applying a ticket) + self.toc.memory_binding = Some(binding); + self.dirty = true; + + Ok(()) + } + + /// Unbind this file from its dashboard memory. + /// + /// This clears the binding and reverts to free tier capacity (1 GB). + pub fn unbind_memory(&mut self) -> Result<()> { + self.toc.memory_binding = None; + // Revert to free tier + self.toc.ticket_ref = crate::types::TicketRef { + issuer: "free-tier".into(), + seq_no: 1, + expires_in_secs: 0, + capacity_bytes: crate::types::Tier::Free.capacity_bytes(), + verified: false, + }; + self.dirty = true; + Ok(()) + } +} + +pub(crate) fn read_toc(file: &mut File, header: &Header) -> Result { + use crate::footer::{CommitFooter, FOOTER_SIZE}; + + let len = file.metadata()?.len(); + if len < header.footer_offset { + return Err(MemvidError::InvalidToc { + reason: "footer offset beyond file length".into(), + }); + } + + // Read the entire region from footer_offset to EOF (includes TOC + footer) + file.seek(SeekFrom::Start(header.footer_offset))?; + // Safe: total_size bounded by file length, and we check MAX_INDEX_BYTES before reading + #[allow(clippy::cast_possible_truncation)] + let total_size = (len - header.footer_offset) as usize; + if total_size as u64 > crate::MAX_INDEX_BYTES { + return Err(MemvidError::InvalidToc { + reason: "toc region exceeds safety limit".into(), + }); + } + + if total_size < FOOTER_SIZE { + return Err(MemvidError::InvalidToc { + reason: "region too small to contain footer".into(), + }); + } + + let mut buf = Vec::with_capacity(total_size); + file.read_to_end(&mut buf)?; + + // Parse the footer (last FOOTER_SIZE bytes) + let footer_start = buf.len() - FOOTER_SIZE; + let footer_bytes = &buf[footer_start..]; + let footer = CommitFooter::decode(footer_bytes).ok_or(MemvidError::InvalidToc { + reason: "failed to decode commit footer".into(), + })?; + + // Extract only the TOC bytes (excluding the footer) + let toc_bytes = &buf[..footer_start]; + #[allow(clippy::cast_possible_truncation)] + if toc_bytes.len() != footer.toc_len as usize { + return Err(MemvidError::InvalidToc { + reason: "toc length mismatch".into(), + }); + } + if !footer.hash_matches(toc_bytes) { + return Err(MemvidError::InvalidToc { + reason: "commit footer toc hash mismatch".into(), + }); + } + + verify_toc_prefix(toc_bytes)?; + let toc = Toc::decode(toc_bytes)?; + Ok(toc) +} + +fn verify_toc_prefix(bytes: &[u8]) -> Result<()> { + const MAX_SEGMENTS: u64 = 1_000_000; + const MAX_FRAMES: u64 = 1_000_000; + const MIN_SEGMENT_META_BYTES: u64 = 32; + const MIN_FRAME_BYTES: u64 = 64; + // TOC trailer layout (little-endian): + // [toc_version:u64][segments_len:u64][frames_len:u64]... + let read_u64 = |range: std::ops::Range, context: &str| -> Result { + let slice = bytes.get(range).ok_or_else(|| MemvidError::InvalidToc { + reason: context.to_string().into(), + })?; + let array: [u8; 8] = slice.try_into().map_err(|_| MemvidError::InvalidToc { + reason: context.to_string().into(), + })?; + Ok(u64::from_le_bytes(array)) + }; + + if bytes.len() < 24 { + return Err(MemvidError::InvalidToc { + reason: "toc trailer too small".into(), + }); + } + let toc_version = read_u64(0..8, "toc version missing or truncated")?; + if toc_version > 32 { + return Err(MemvidError::InvalidToc { + reason: "toc version unreasonable".into(), + }); + } + let segments_len = read_u64(8..16, "segment count missing or truncated")?; + if segments_len > MAX_SEGMENTS { + return Err(MemvidError::InvalidToc { + reason: "segment count unreasonable".into(), + }); + } + let frames_len = read_u64(16..24, "frame count missing or truncated")?; + if frames_len > MAX_FRAMES { + return Err(MemvidError::InvalidToc { + reason: "frame count unreasonable".into(), + }); + } + let required = segments_len + .saturating_mul(MIN_SEGMENT_META_BYTES) + .saturating_add(frames_len.saturating_mul(MIN_FRAME_BYTES)); + if required > bytes.len() as u64 { + return Err(MemvidError::InvalidToc { + reason: "toc payload inconsistent with counts".into(), + }); + } + Ok(()) +} + +/// Ensure frame payloads do not overlap each other or exceed file boundary. +/// +/// Frames in the TOC are ordered by `frame_id`, not by `payload_offset`, so we must +/// sort by `payload_offset` before checking for overlaps. +/// +/// Note: Frames with `payload_length` == 0 are "virtual" frames (e.g., document +/// frames that reference chunks) and are skipped from this check. +fn ensure_non_overlapping_frames(toc: &Toc, file_len: u64) -> Result<()> { + // Collect active frames with actual payloads and sort by payload_offset + let mut frames_by_offset: Vec<_> = toc + .frames + .iter() + .filter(|f| f.status == FrameStatus::Active && f.payload_length > 0) + .collect(); + frames_by_offset.sort_by_key(|f| f.payload_offset); + + let mut previous_end = 0u64; + for frame in frames_by_offset { + let end = frame + .payload_offset + .checked_add(frame.payload_length) + .ok_or_else(|| MemvidError::InvalidToc { + reason: "frame payload offsets overflow".into(), + })?; + if end > file_len { + return Err(MemvidError::InvalidToc { + reason: "frame payload exceeds file length".into(), + }); + } + if frame.payload_offset < previous_end { + return Err(MemvidError::InvalidToc { + reason: format!( + "frame {} payload overlaps with previous frame (offset {} < previous end {})", + frame.id, frame.payload_offset, previous_end + ) + .into(), + }); + } + previous_end = end; + } + Ok(()) +} + +pub(crate) fn recover_toc(file: &mut File, hint: Option) -> Result<(Toc, u64)> { + let len = file.metadata()?.len(); + // Safety: we only create a read-only mapping over stable file bytes. + let mmap = unsafe { Mmap::map(&*file)? }; + tracing::debug!(file_len = len, "attempting toc recovery"); + + // First, try to find a valid footer which includes validated TOC bytes + if let Some(footer_slice) = find_last_valid_footer(&mmap) { + tracing::debug!( + footer_offset = footer_slice.footer_offset, + toc_offset = footer_slice.toc_offset, + toc_len = footer_slice.toc_bytes.len(), + "found valid footer during recovery" + ); + // The footer has already validated the TOC hash, so we can directly decode it + match Toc::decode(footer_slice.toc_bytes) { + Ok(toc) => { + return Ok((toc, footer_slice.toc_offset as u64)); + } + Err(err) => { + tracing::warn!( + error = %err, + "footer-validated TOC failed to decode, falling back to scan" + ); + } + } + } + + // If we have a header-provided hint (`footer_offset`) but the commit footer itself is corrupted, + // we can often still recover because the TOC bytes are intact. In that case, assume the TOC + // spans from `hint` up to the final fixed-size commit footer and decode it best-effort. + if let Some(hint_offset) = hint { + use crate::footer::FOOTER_SIZE; + + // Safe: file successfully mmapped so length fits in usize + #[allow(clippy::cast_possible_truncation)] + let start = (hint_offset.min(len)) as usize; + if mmap.len().saturating_sub(start) >= FOOTER_SIZE { + let toc_end = mmap.len().saturating_sub(FOOTER_SIZE); + if toc_end > start { + let toc_bytes = &mmap[start..toc_end]; + if verify_toc_prefix(toc_bytes).is_ok() { + let attempt = panic::catch_unwind(|| Toc::decode(toc_bytes)); + if let Ok(Ok(toc)) = attempt { + tracing::debug!( + recovered_offset = hint_offset, + recovered_frames = toc.frames.len(), + "recovered toc from hinted offset without validated footer" + ); + return Ok((toc, hint_offset)); + } + } + } + } + } + + // Fallback to manual scan if footer-based recovery failed + let mut ranges = Vec::new(); + if let Some(hint_offset) = hint { + // Safe: file successfully mmapped so length fits in usize + #[allow(clippy::cast_possible_truncation)] + let hint_idx = hint_offset.min(len) as usize; + ranges.push((hint_idx, mmap.len())); + if hint_idx > 0 { + ranges.push((0, hint_idx)); + } + } else { + ranges.push((0, mmap.len())); + } + + for (start, end) in ranges { + if let Some(found) = scan_range_for_toc(&mmap, start, end) { + return Ok(found); + } + } + + Err(MemvidError::InvalidToc { + reason: "unable to recover table of contents from file trailer".into(), + }) +} + +fn scan_range_for_toc(data: &[u8], start: usize, end: usize) -> Option<(Toc, u64)> { + if start >= end || end > data.len() { + return None; + } + const MAX_TOC_BYTES: usize = 64 * 1024 * 1024; + const ZERO_CHECKSUM: [u8; 32] = [0u8; 32]; + + // We only ever consider offsets where the candidate TOC slice would be <= MAX_TOC_BYTES, + // otherwise the loop devolves into iterating over the entire file for large memories. + let min_offset = data.len().saturating_sub(MAX_TOC_BYTES); + let scan_start = start.max(min_offset); + + for offset in (scan_start..end).rev() { + let slice = &data[offset..]; + if slice.len() < 16 { + continue; + } + debug_assert!(slice.len() <= MAX_TOC_BYTES); + + // No footer found - try old format with checksum + if slice.len() < ZERO_CHECKSUM.len() { + continue; + } + let (body, stored_checksum) = slice.split_at(slice.len() - ZERO_CHECKSUM.len()); + let mut hasher = Hasher::new(); + hasher.update(body); + hasher.update(&ZERO_CHECKSUM); + if hasher.finalize().as_bytes() != stored_checksum { + continue; + } + if verify_toc_prefix(slice).is_err() { + continue; + } + let attempt = panic::catch_unwind(|| Toc::decode(slice)); + if let Ok(Ok(toc)) = attempt { + let recovered_offset = offset as u64; + tracing::debug!( + recovered_offset, + recovered_frames = toc.frames.len(), + "recovered toc via scan" + ); + return Some((toc, recovered_offset)); + } + } + None +} + +pub(crate) fn prepare_toc_bytes(toc: &mut Toc) -> Result> { + toc.toc_checksum = [0u8; 32]; + let bytes = toc.encode()?; + let checksum = Toc::calculate_checksum(&bytes); + toc.toc_checksum = checksum; + toc.encode() +} + +pub(crate) fn empty_toc() -> Toc { + Toc { + toc_version: 0, + segments: Vec::new(), + frames: Vec::new(), + indexes: IndexManifests::default(), + time_index: None, + temporal_track: None, + memories_track: None, + logic_mesh: None, + sketch_track: None, + segment_catalog: SegmentCatalog::default(), + ticket_ref: TicketRef { + issuer: "free-tier".into(), + seq_no: 1, + expires_in_secs: 0, + capacity_bytes: Tier::Free.capacity_bytes(), + verified: false, + }, + memory_binding: None, + replay_manifest: None, + enrichment_queue: crate::types::EnrichmentQueueManifest::default(), + merkle_root: [0u8; 32], + toc_checksum: [0u8; 32], + } +} + +/// Compute the end of the payload region from frame payloads only. +/// Used once at open time to seed `cached_payload_end`. +pub(crate) fn compute_payload_region_end(toc: &Toc, header: &Header) -> u64 { + let wal_region_end = header.wal_offset.saturating_add(header.wal_size); + let mut max_end = wal_region_end; + for frame in &toc.frames { + if frame.payload_length != 0 { + if let Some(end) = frame.payload_offset.checked_add(frame.payload_length) { + max_end = max_end.max(end); + } + } + } + max_end +} + +pub(crate) fn compute_data_end(toc: &Toc, header: &Header) -> u64 { + // `data_end` tracks the end of all data bytes that should not be overwritten by appends: + // - frame payloads + // - embedded indexes / metadata segments referenced by the TOC + // - the current footer boundary (TOC offset), since callers may safely overwrite old TOCs + // + // Keeping this conservative prevents WAL replay / appends from corrupting embedded segments. + let wal_region_end = header.wal_offset.saturating_add(header.wal_size); + let mut max_end = wal_region_end.max(header.footer_offset); + + // Frame payloads (active only). + for frame in toc + .frames + .iter() + .filter(|f| f.status == FrameStatus::Active && f.payload_length > 0) + { + if let Some(end) = frame.payload_offset.checked_add(frame.payload_length) { + max_end = max_end.max(end); + } + } + + // Segment catalog entries. + let catalog = &toc.segment_catalog; + for seg in &catalog.lex_segments { + if let Some(end) = seg.common.bytes_offset.checked_add(seg.common.bytes_length) { + max_end = max_end.max(end); + } + } + for seg in &catalog.vec_segments { + if let Some(end) = seg.common.bytes_offset.checked_add(seg.common.bytes_length) { + max_end = max_end.max(end); + } + } + for seg in &catalog.time_segments { + if let Some(end) = seg.common.bytes_offset.checked_add(seg.common.bytes_length) { + max_end = max_end.max(end); + } + } + #[cfg(feature = "temporal_track")] + for seg in &catalog.temporal_segments { + if let Some(end) = seg.common.bytes_offset.checked_add(seg.common.bytes_length) { + max_end = max_end.max(end); + } + } + #[cfg(feature = "lex")] + for seg in &catalog.tantivy_segments { + if let Some(end) = seg.common.bytes_offset.checked_add(seg.common.bytes_length) { + max_end = max_end.max(end); + } + } + #[cfg(feature = "parallel_segments")] + for seg in &catalog.index_segments { + if let Some(end) = seg.common.bytes_offset.checked_add(seg.common.bytes_length) { + max_end = max_end.max(end); + } + } + + // Global manifests (non-segment storage paths). + if let Some(manifest) = toc.indexes.lex.as_ref() { + if let Some(end) = manifest.bytes_offset.checked_add(manifest.bytes_length) { + max_end = max_end.max(end); + } + } + if let Some(manifest) = toc.indexes.vec.as_ref() { + if let Some(end) = manifest.bytes_offset.checked_add(manifest.bytes_length) { + max_end = max_end.max(end); + } + } + if let Some(manifest) = toc.indexes.clip.as_ref() { + if let Some(end) = manifest.bytes_offset.checked_add(manifest.bytes_length) { + max_end = max_end.max(end); + } + } + if let Some(manifest) = toc.time_index.as_ref() { + if let Some(end) = manifest.bytes_offset.checked_add(manifest.bytes_length) { + max_end = max_end.max(end); + } + } + #[cfg(feature = "temporal_track")] + if let Some(track) = toc.temporal_track.as_ref() { + if let Some(end) = track.bytes_offset.checked_add(track.bytes_length) { + max_end = max_end.max(end); + } + } + if let Some(track) = toc.memories_track.as_ref() { + if let Some(end) = track.bytes_offset.checked_add(track.bytes_length) { + max_end = max_end.max(end); + } + } + if let Some(mesh) = toc.logic_mesh.as_ref() { + if let Some(end) = mesh.bytes_offset.checked_add(mesh.bytes_length) { + max_end = max_end.max(end); + } + } + if let Some(track) = toc.sketch_track.as_ref() { + if let Some(end) = track.bytes_offset.checked_add(track.bytes_length) { + max_end = max_end.max(end); + } + } + #[cfg(feature = "replay")] + if let Some(manifest) = toc.replay_manifest.as_ref() { + if let Some(end) = manifest.segment_offset.checked_add(manifest.segment_size) { + max_end = max_end.max(end); + } + } + + tracing::debug!( + wal_region_end, + footer_offset = header.footer_offset, + computed_data_end = max_end, + "compute_data_end" + ); + + max_end +} + +struct TailSnapshot { + toc: Toc, + footer_offset: u64, + data_end: u64, + generation: u64, +} + +fn locate_footer_window(mmap: &[u8]) -> Option<(FooterSlice<'_>, usize)> { + const MAX_SEARCH_SIZE: usize = 16 * 1024 * 1024; + if mmap.is_empty() { + return None; + } + let mut window = MAX_SEARCH_SIZE.min(mmap.len()); + loop { + let start = mmap.len() - window; + if let Some(slice) = find_last_valid_footer(&mmap[start..]) { + return Some((slice, start)); + } + if window == mmap.len() { + break; + } + window = (window * 2).min(mmap.len()); + } + None +} + +fn load_tail_snapshot(file: &File) -> Result { + // Safety: we only create a read-only mapping over the stable file bytes. + let mmap = unsafe { Mmap::map(file)? }; + + let (slice, offset_adjustment) = + locate_footer_window(&mmap).ok_or_else(|| MemvidError::InvalidToc { + reason: "no valid commit footer found".into(), + })?; + let toc = Toc::decode(slice.toc_bytes)?; + toc.verify_checksum()?; + + Ok(TailSnapshot { + toc, + footer_offset: slice.footer_offset as u64 + offset_adjustment as u64, + // Using toc_offset causes stale data_end that moves footer backwards on next commit + data_end: slice.footer_offset as u64 + offset_adjustment as u64, + generation: slice.footer.generation, + }) +} + +fn detect_generation(file: &File) -> Result> { + // Safety: read-only mapping for footer inspection. + let mmap = unsafe { Mmap::map(file)? }; + + Ok(locate_footer_window(&mmap).map(|(slice, _)| slice.footer.generation)) +} + +pub(crate) fn ensure_single_file(path: &Path) -> Result<()> { + if let Some(parent) = path.parent() { + let name = path + .file_name() + .and_then(|n| n.to_str()) + .unwrap_or_default(); + let forbidden = ["-wal", "-shm", "-lock", "-journal"]; + for suffix in forbidden { + let candidate = parent.join(format!("{name}{suffix}")); + if candidate.exists() { + return Err(MemvidError::AuxiliaryFileDetected { path: candidate }); + } + } + let hidden_forbidden = [".wal", ".shm", ".lock", ".journal"]; + for suffix in hidden_forbidden { + let candidate = parent.join(format!(".{name}{suffix}")); + if candidate.exists() { + return Err(MemvidError::AuxiliaryFileDetected { path: candidate }); + } + } + } + Ok(()) +} + +#[cfg(feature = "parallel_segments")] +fn manifest_wal_path(path: &Path) -> PathBuf { + let mut wal_path = path.to_path_buf(); + wal_path.set_extension("manifest.wal"); + wal_path +} + +#[cfg(feature = "parallel_segments")] +pub(crate) fn cleanup_manifest_wal_public(path: &Path) { + let wal_path = manifest_wal_path(path); + if wal_path.exists() { + let _ = std::fs::remove_file(&wal_path); + } +} + +/// Single source of truth: does this TOC have a lexical index? +/// Checks all possible locations: old manifest, `lex_segments`, and `tantivy_segments`. +pub(crate) fn has_lex_index(toc: &Toc) -> bool { + toc.segment_catalog.lex_enabled + || toc.indexes.lex.is_some() + || !toc.indexes.lex_segments.is_empty() + || !toc.segment_catalog.tantivy_segments.is_empty() +} + +/// Single source of truth: expected document count for lex index. +/// Returns None if we can't determine (e.g., Tantivy segments without manifest). +#[cfg(feature = "lex")] +pub(crate) fn lex_doc_count( + toc: &Toc, + lex_storage: &crate::search::EmbeddedLexStorage, +) -> Option { + // First try old manifest + if let Some(manifest) = &toc.indexes.lex { + if manifest.doc_count > 0 { + return Some(manifest.doc_count); + } + } + + // Then try lex_storage (contains info from lex_segments) + let storage_count = lex_storage.doc_count(); + if storage_count > 0 { + return Some(storage_count); + } + + // For Tantivy files with segments but no manifest/storage doc_count, + // we can't know doc count without loading the index. + // Return None and let caller decide (init_tantivy should trust segments exist) + None +} + +/// Validates segment integrity on file open to catch corruption early. +/// This helps doctor by detecting issues before they cause problems. +#[allow(dead_code)] +fn validate_segment_integrity(toc: &Toc, header: &Header, file_len: u64) -> Result<()> { + let data_limit = header.footer_offset; + + // Validate replay segment (if present). Replay is stored AT the footer boundary, + // and footer_offset is moved forward after writing. So we only check against file_len, + // not against footer_offset (which would be after the replay segment). + #[cfg(feature = "replay")] + if let Some(manifest) = toc.replay_manifest.as_ref() { + if manifest.segment_size != 0 { + let end = manifest + .segment_offset + .checked_add(manifest.segment_size) + .ok_or_else(|| MemvidError::Doctor { + reason: format!( + "Replay segment offset overflow: {} + {}", + manifest.segment_offset, manifest.segment_size + ), + })?; + + // Only check against file_len - replay segments sit at the footer boundary + // and footer_offset is updated to point after them + if end > file_len { + return Err(MemvidError::Doctor { + reason: format!( + "Replay segment out of bounds: offset={}, length={}, end={}, file_len={}", + manifest.segment_offset, manifest.segment_size, end, file_len + ), + }); + } + } + } + + // Validate Tantivy segments + for (idx, seg) in toc.segment_catalog.tantivy_segments.iter().enumerate() { + let offset = seg.common.bytes_offset; + let length = seg.common.bytes_length; + + if length == 0 { + continue; // Empty segments are okay + } + + let end = offset + .checked_add(length) + .ok_or_else(|| MemvidError::Doctor { + reason: format!("Tantivy segment {idx} offset overflow: {offset} + {length}"), + })?; + + if end > file_len || end > data_limit { + return Err(MemvidError::Doctor { + reason: format!( + "Tantivy segment {idx} out of bounds: offset={offset}, length={length}, end={end}, file_len={file_len}, data_limit={data_limit}" + ), + }); + } + } + + // Validate time index segments + for (idx, seg) in toc.segment_catalog.time_segments.iter().enumerate() { + let offset = seg.common.bytes_offset; + let length = seg.common.bytes_length; + + if length == 0 { + continue; + } + + let end = offset + .checked_add(length) + .ok_or_else(|| MemvidError::Doctor { + reason: format!("Time segment {idx} offset overflow: {offset} + {length}"), + })?; + + if end > file_len || end > data_limit { + return Err(MemvidError::Doctor { + reason: format!( + "Time segment {idx} out of bounds: offset={offset}, length={length}, end={end}, file_len={file_len}, data_limit={data_limit}" + ), + }); + } + } + + // Validate vec segments + for (idx, seg) in toc.segment_catalog.vec_segments.iter().enumerate() { + let offset = seg.common.bytes_offset; + let length = seg.common.bytes_length; + + if length == 0 { + continue; + } + + let end = offset + .checked_add(length) + .ok_or_else(|| MemvidError::Doctor { + reason: format!("Vec segment {idx} offset overflow: {offset} + {length}"), + })?; + + if end > file_len || end > data_limit { + return Err(MemvidError::Doctor { + reason: format!( + "Vec segment {idx} out of bounds: offset={offset}, length={length}, end={end}, file_len={file_len}, data_limit={data_limit}" + ), + }); + } + } + + log::debug!("✓ Segment integrity validation passed"); + Ok(()) +} + +#[cfg(test)] +mod tests { + use super::*; + use tempfile::tempdir; + + #[test] + fn toc_prefix_underflow_surfaces_reason() { + let err = verify_toc_prefix(&[0u8; 8]).expect_err("should reject short toc prefix"); + match err { + MemvidError::InvalidToc { reason } => { + assert!( + reason.contains("trailer too small"), + "unexpected reason: {reason}" + ); + } + other => panic!("unexpected error: {other:?}"), + } + } + + #[test] + fn ensure_single_file_blocks_sidecars() { + let dir = tempdir().expect("tmp"); + let path = dir.path().join("mem.mv2"); + std::fs::write(dir.path().join("mem.mv2-wal"), b"junk").expect("sidecar"); + let result = Memvid::create(&path); + assert!(matches!( + result, + Err(MemvidError::AuxiliaryFileDetected { .. }) + )); + } +} diff --git a/src/memvid/maintenance.rs b/src/memvid/maintenance.rs new file mode 100644 index 0000000..0fa90e0 --- /dev/null +++ b/src/memvid/maintenance.rs @@ -0,0 +1,176 @@ +use std::path::Path; + +use crate::Result; +use crate::io::time_index::read_track as time_index_read; +use crate::memvid::lifecycle::Memvid; +use crate::types::{ + DoctorOptions, DoctorPlan, DoctorReport, VerificationCheck, VerificationReport, + VerificationStatus, +}; + +impl Memvid { + pub fn verify>(path: P, deep: bool) -> Result { + let path_buf = path.as_ref().to_path_buf(); + let mut mem = Self::open_read_only(&path_buf)?; + + let mut checks = Vec::new(); + let mut overall = VerificationStatus::Passed; + let mut push_check = |name: &str, status: VerificationStatus, details: Option| { + if status == VerificationStatus::Failed { + overall = VerificationStatus::Failed; + } + checks.push(VerificationCheck { + name: name.to_string(), + status, + details, + }); + }; + + // Time index integrity + if let Some(manifest) = mem.toc.time_index.clone() { + match time_index_read(&mut mem.file, manifest.bytes_offset, manifest.bytes_length) { + Ok(entries) => { + if manifest.entry_count == entries.len() as u64 { + push_check("TimeIndexEntryCount", VerificationStatus::Passed, None); + } else { + push_check( + "TimeIndexEntryCount", + VerificationStatus::Failed, + Some(format!( + "expected {} entries, got {}", + manifest.entry_count, + entries.len() + )), + ); + } + + if deep { + let sorted = entries + .windows(2) + .all(|pair| pair[0].timestamp <= pair[1].timestamp); + if sorted { + push_check("TimeIndexSortOrder", VerificationStatus::Passed, None); + } else { + push_check( + "TimeIndexSortOrder", + VerificationStatus::Failed, + Some("timestamps are not sorted".into()), + ); + } + } + } + Err(err) => { + push_check( + "TimeIndexRead", + VerificationStatus::Failed, + Some(err.to_string()), + ); + } + } + } else { + push_check( + "TimeIndexRead", + VerificationStatus::Skipped, + Some("time index disabled".into()), + ); + } + + // Lexical index decode + if mem.lex_enabled { + match mem.ensure_lex_index() { + Ok(()) => push_check("LexIndexDecode", VerificationStatus::Passed, None), + Err(err) => push_check( + "LexIndexDecode", + VerificationStatus::Failed, + Some(err.to_string()), + ), + } + } else { + push_check( + "LexIndexDecode", + VerificationStatus::Skipped, + Some("lex index disabled".into()), + ); + } + + // Vector index decode + if mem.vec_enabled { + match mem.ensure_vec_index() { + Ok(()) => push_check("VecIndexDecode", VerificationStatus::Passed, None), + Err(err) => push_check( + "VecIndexDecode", + VerificationStatus::Failed, + Some(err.to_string()), + ), + } + } else { + push_check( + "VecIndexDecode", + VerificationStatus::Skipped, + Some("vector index disabled".into()), + ); + } + + // WAL pending entries check + match mem.wal.pending_records() { + Ok(records) => { + if records.is_empty() { + push_check("WalPendingRecords", VerificationStatus::Passed, None); + } else { + push_check( + "WalPendingRecords", + VerificationStatus::Failed, + Some(format!("{} pending records", records.len())), + ); + } + } + Err(err) => push_check( + "WalPendingRecords", + VerificationStatus::Failed, + Some(err.to_string()), + ), + } + + // Frame count consistency + match mem.stats() { + Ok(stats) => { + if stats.frame_count == mem.toc.frames.len() as u64 { + push_check("FrameCountConsistency", VerificationStatus::Passed, None); + } else { + push_check( + "FrameCountConsistency", + VerificationStatus::Failed, + Some(format!( + "stats reports {}, toc has {}", + stats.frame_count, + mem.toc.frames.len() + )), + ); + } + } + Err(err) => push_check( + "FrameCountConsistency", + VerificationStatus::Failed, + Some(err.to_string()), + ), + } + + Ok(VerificationReport { + file_path: path_buf, + checks, + overall_status: overall, + }) + } + + pub fn doctor>(path: P, options: DoctorOptions) -> Result { + crate::memvid::doctor::doctor_run(path.as_ref(), options) + } + + pub fn doctor_plan>(path: P, options: DoctorOptions) -> Result { + crate::memvid::doctor::doctor_plan(path.as_ref(), options) + } + + pub fn doctor_apply>(path: P, plan: DoctorPlan) -> Result { + crate::memvid::doctor::doctor_apply(path.as_ref(), plan) + } +} diff --git a/src/memvid/memory.rs b/src/memvid/memory.rs new file mode 100644 index 0000000..404043b --- /dev/null +++ b/src/memvid/memory.rs @@ -0,0 +1,895 @@ +//! Memory card extensions for `Memvid`. +//! +//! This module provides methods for managing structured memory cards within +//! an MV2 file, including adding cards, querying by entity/slot, temporal +//! lookups, and enrichment tracking. + +use crate::error::Result; +use crate::memvid::lifecycle::Memvid; +use crate::types::{ + Cardinality, EntityKind, FrameId, MemoriesStats, MemoriesTrack, MemoryCard, MemoryCardId, + PredicateSchema, SchemaError, SchemaRegistry, +}; +use serde::Serialize; + +/// Summary entry for an inferred schema. +#[derive(Debug, Clone, Serialize)] +pub struct SchemaSummaryEntry { + /// The predicate (slot) name. + pub predicate: String, + /// The inferred value type (e.g., "string", "number", "datetime"). + pub inferred_type: String, + /// Whether the predicate allows multiple values per entity. + pub cardinality: Cardinality, + /// Number of unique entities with this predicate. + pub entity_count: usize, + /// Total number of values across all entities. + pub value_count: usize, + /// Number of unique values. + pub unique_values: usize, + /// Whether this predicate has a built-in schema definition. + pub is_builtin: bool, +} + +/// Internal stats for predicate inference. +struct PredicateStats { + _entity_count: usize, + value_count: usize, + unique_values: std::collections::HashSet, + entities: std::collections::HashSet, +} + +impl Memvid { + /// Get an immutable reference to the memories track. + /// + /// Returns the in-memory memories track. Changes are persisted when + /// the file is sealed. + #[must_use] + pub fn memories(&self) -> &MemoriesTrack { + &self.memories_track + } + + /// Get a mutable reference to the memories track. + /// + /// Returns the in-memory memories track for direct manipulation. + /// Changes are persisted when the file is sealed. + pub fn memories_mut(&mut self) -> &mut MemoriesTrack { + self.dirty = true; + &mut self.memories_track + } + + /// Add a memory card to the memories track. + /// + /// The card is assigned a unique ID and stored in memory. Changes + /// are persisted when the file is sealed. + /// + /// If schema validation is enabled (strict mode), invalid cards will + /// be rejected with an error. In non-strict mode (default), validation + /// warnings are logged but the card is still inserted. + /// + /// # Arguments + /// * `card` - The memory card to add (ID will be overwritten) + /// + /// # Returns + /// The assigned card ID. + /// + /// # Errors + /// Returns an error if strict schema validation is enabled and the card is invalid. + pub fn put_memory_card(&mut self, card: MemoryCard) -> Result { + // Validate against schema + if let Err(e) = self.validate_card(&card) { + if self.schema_strict { + return Err(crate::error::MemvidError::SchemaValidation { + reason: e.to_string(), + }); + } + // Non-strict mode: log warning but continue + tracing::warn!( + entity = %card.entity, + slot = %card.slot, + value = %card.value, + error = %e, + "Schema validation warning" + ); + } + + self.dirty = true; + let id = self.memories_track.add_card(card); + Ok(id) + } + + /// Add multiple memory cards at once. + /// + /// If schema validation is enabled (strict mode), all cards are validated + /// before any are inserted. If any card fails validation, an error is + /// returned and no cards are inserted. + /// + /// In non-strict mode (default), validation warnings are logged but + /// all cards are still inserted. + /// + /// # Arguments + /// * `cards` - The memory cards to add + /// + /// # Returns + /// The assigned card IDs in order. + /// + /// # Errors + /// Returns an error if strict schema validation is enabled and any card is invalid. + pub fn put_memory_cards(&mut self, cards: Vec) -> Result> { + // Validate all cards first + let validation_errors = self.validate_cards(&cards); + + if !validation_errors.is_empty() { + if self.schema_strict { + // In strict mode, reject all if any are invalid + let errors: Vec = validation_errors + .iter() + .map(|(i, e)| format!("Card {i}: {e}")) + .collect(); + return Err(crate::error::MemvidError::SchemaValidation { + reason: format!( + "{} cards failed validation: {}", + errors.len(), + errors.join("; ") + ), + }); + } + + // Non-strict mode: log warnings but continue + for (i, e) in &validation_errors { + let card = &cards[*i]; + tracing::warn!( + index = i, + entity = %card.entity, + slot = %card.slot, + value = %card.value, + error = %e, + "Schema validation warning" + ); + } + } + + self.dirty = true; + let ids = self.memories_track.add_cards(cards); + Ok(ids) + } + + /// Record that a frame was enriched by an engine. + /// + /// This is used to track which frames have been processed by which + /// enrichment engines, enabling incremental enrichment. + /// + /// # Arguments + /// * `frame_id` - The frame that was enriched + /// * `engine_kind` - The engine identifier (e.g., "rules-v1") + /// * `engine_version` - The engine version (e.g., "1.0.0") + /// * `card_ids` - The IDs of cards produced from this frame + pub fn record_enrichment( + &mut self, + frame_id: FrameId, + engine_kind: &str, + engine_version: &str, + card_ids: Vec, + ) -> Result<()> { + self.dirty = true; + self.memories_track + .record_enrichment(frame_id, engine_kind, engine_version, card_ids); + Ok(()) + } + + /// Get frames that haven't been enriched by a specific engine version. + /// + /// # Arguments + /// * `engine_kind` - The engine identifier + /// * `engine_version` - The engine version + /// + /// # Returns + /// A list of frame IDs that need enrichment. + #[must_use] + pub fn get_unenriched_frames(&self, engine_kind: &str, engine_version: &str) -> Vec { + (0..self.toc.frames.len() as FrameId) + .filter(|id| { + self.memories_track.enrichment_manifest().needs_enrichment( + *id, + engine_kind, + engine_version, + ) + }) + .collect() + } + + /// Check if a frame has been enriched by a specific engine version. + #[must_use] + pub fn is_frame_enriched( + &self, + frame_id: FrameId, + engine_kind: &str, + engine_version: &str, + ) -> bool { + self.memories_track + .is_enriched_by(frame_id, engine_kind, engine_version) + } + + /// Get the current (most recent, non-retracted) memory for an entity:slot. + /// + /// # Arguments + /// * `entity` - The entity (e.g., "user") + /// * `slot` - The slot/attribute (e.g., "employer") + /// + /// # Returns + /// The most recent non-retracted card, if any. + #[must_use] + pub fn get_current_memory(&self, entity: &str, slot: &str) -> Option<&MemoryCard> { + self.memories_track.get_current(entity, slot) + } + + /// Get the memory value at a specific point in time. + /// + /// # Arguments + /// * `entity` - The entity + /// * `slot` - The slot/attribute + /// * `timestamp` - Unix timestamp to query + /// + /// # Returns + /// The most recent non-retracted card at that time, if any. + #[must_use] + pub fn get_memory_at_time( + &self, + entity: &str, + slot: &str, + timestamp: i64, + ) -> Option<&MemoryCard> { + self.memories_track.get_at_time(entity, slot, timestamp) + } + + /// Get all memory cards for an entity. + /// + /// # Arguments + /// * `entity` - The entity to query + /// + /// # Returns + /// All cards associated with the entity. + #[must_use] + pub fn get_entity_memories(&self, entity: &str) -> Vec<&MemoryCard> { + self.memories_track.get_entity_cards(entity) + } + + /// Aggregate all values for a slot across all occurrences. + /// + /// Useful for multi-session scenarios where the same slot may have + /// multiple values across different conversations. + /// + /// # Arguments + /// * `entity` - The entity + /// * `slot` - The slot/attribute + /// + /// # Returns + /// All unique values for the slot. + #[must_use] + pub fn aggregate_memory_slot(&self, entity: &str, slot: &str) -> Vec { + self.memories_track.aggregate_slot(entity, slot) + } + + /// Count occurrences of a slot, optionally filtered by value. + /// + /// Useful for questions like "how many times did I mention X?". + /// + /// # Arguments + /// * `entity` - The entity + /// * `slot` - The slot/attribute + /// * `value_filter` - Optional substring to filter values + /// + /// # Returns + /// The count of matching cards. + #[must_use] + pub fn count_memory_occurrences( + &self, + entity: &str, + slot: &str, + value_filter: Option<&str>, + ) -> usize { + self.memories_track + .count_occurrences(entity, slot, value_filter) + } + + /// Get the timeline of events for an entity. + /// + /// Returns event-type cards sorted chronologically. + /// + /// # Arguments + /// * `entity` - The entity + /// + /// # Returns + /// Event cards in chronological order. + #[must_use] + pub fn get_memory_timeline(&self, entity: &str) -> Vec<&MemoryCard> { + self.memories_track.get_timeline(entity) + } + + /// Get all preferences for an entity. + #[must_use] + pub fn get_preferences(&self, entity: &str) -> Vec<&MemoryCard> { + self.memories_track.get_preferences(entity) + } + + /// Get statistics about the memories track. + #[must_use] + pub fn memories_stats(&self) -> MemoriesStats { + self.memories_track.stats() + } + + /// Get the total number of memory cards. + #[must_use] + pub fn memory_card_count(&self) -> usize { + self.memories_track.card_count() + } + + /// Get all unique entities with memory cards. + #[must_use] + pub fn memory_entities(&self) -> Vec { + self.memories_track.entities() + } + + /// Clear all memory cards and enrichment records. + /// + /// This is destructive and cannot be undone. + pub fn clear_memories(&mut self) { + self.dirty = true; + self.memories_track.clear(); + } + + // ======================================================================== + // Schema Validation + // ======================================================================== + + /// Get an immutable reference to the schema registry. + #[must_use] + pub fn schema_registry(&self) -> &SchemaRegistry { + &self.schema_registry + } + + /// Get a mutable reference to the schema registry. + /// + /// Use this to register custom predicate schemas. + pub fn schema_registry_mut(&mut self) -> &mut SchemaRegistry { + &mut self.schema_registry + } + + /// Enable or disable strict schema validation. + /// + /// When strict mode is enabled: + /// - `put_memory_card` and `put_memory_cards` will return errors for invalid cards + /// - Unknown predicates are rejected + /// + /// When strict mode is disabled (default): + /// - Validation warnings are logged but cards are still inserted + /// - Unknown predicates are allowed + pub fn set_schema_strict(&mut self, strict: bool) { + self.schema_strict = strict; + } + + /// Check if strict schema validation is enabled. + #[must_use] + pub fn is_schema_strict(&self) -> bool { + self.schema_strict + } + + /// Register a custom predicate schema. + /// + /// # Arguments + /// * `schema` - The predicate schema to register + pub fn register_schema(&mut self, schema: PredicateSchema) { + self.schema_registry.register(schema); + } + + /// Validate a memory card against the schema. + /// + /// # Arguments + /// * `card` - The memory card to validate + /// + /// # Returns + /// `Ok(())` if valid, `Err(SchemaError)` if invalid. + pub fn validate_card(&self, card: &MemoryCard) -> std::result::Result<(), SchemaError> { + // Infer entity kind from the card's kind field + let entity_kind = match card.kind { + crate::types::MemoryKind::Fact + | crate::types::MemoryKind::Preference + | crate::types::MemoryKind::Profile + | crate::types::MemoryKind::Relationship => Some(EntityKind::Person), + // Events, goals, and other kinds can apply to any entity type + crate::types::MemoryKind::Event + | crate::types::MemoryKind::Goal + | crate::types::MemoryKind::Other => None, + }; + + self.schema_registry + .validate(&card.slot, &card.value, entity_kind) + } + + /// Validate multiple memory cards against the schema. + /// + /// # Arguments + /// * `cards` - The memory cards to validate + /// + /// # Returns + /// A vector of (index, error) tuples for invalid cards. + #[must_use] + pub fn validate_cards(&self, cards: &[MemoryCard]) -> Vec<(usize, SchemaError)> { + cards + .iter() + .enumerate() + .filter_map(|(i, card)| self.validate_card(card).err().map(|e| (i, e))) + .collect() + } + + /// Infer schemas from existing memory cards. + /// + /// Analyzes all predicates (slots) in the memories track and infers + /// type information (Number, `DateTime`, Boolean, String) and cardinality + /// (Single vs Multiple) from the actual values. + /// + /// # Returns + /// A vector of inferred predicate schemas. + #[must_use] + pub fn infer_schemas(&self) -> Vec { + use std::collections::HashMap; + + // Collect all values per predicate, grouped by entity + let mut predicate_values: HashMap>> = HashMap::new(); + + for entity in self.memories_track.entities() { + for card in self.memories_track.get_entity_cards(&entity) { + predicate_values + .entry(card.slot.clone()) + .or_default() + .entry(card.entity.clone()) + .or_default() + .push(card.value.clone()); + } + } + + // Infer schema for each predicate + let mut schemas: Vec = Vec::new(); + + for (predicate, entity_values) in predicate_values { + // Collect all values across all entities + let all_values: Vec<&str> = entity_values + .values() + .flatten() + .map(std::string::String::as_str) + .collect(); + + // Use the registry's inference method + let mut schema = self + .schema_registry + .infer_from_values(&predicate, &all_values); + + // Determine cardinality: if any entity has multiple values, it's Multiple + let has_multiple = entity_values.values().any(|vals| vals.len() > 1); + if has_multiple { + schema.cardinality = crate::types::Cardinality::Multiple; + } + + // Try to infer domain from entity patterns + // (In a real implementation, you'd analyze entity kinds from the LogicMesh) + // For now, we'll leave domain empty (any entity can have this predicate) + + schemas.push(schema); + } + + // Sort alphabetically for consistent output + schemas.sort_by(|a, b| a.id.cmp(&b.id)); + schemas + } + + /// Infer schemas and register them in the schema registry. + /// + /// This analyzes all existing memory cards and registers inferred + /// schemas for predicates that don't already have a schema defined. + /// + /// # Arguments + /// * `overwrite` - If true, overwrite existing schemas; otherwise skip them + /// + /// # Returns + /// The number of schemas registered. + pub fn register_inferred_schemas(&mut self, overwrite: bool) -> usize { + let inferred = self.infer_schemas(); + let mut count = 0; + + for schema in inferred { + if overwrite || !self.schema_registry.contains(&schema.id) { + self.schema_registry.register(schema); + count += 1; + } + } + + count + } + + /// Get a summary of inferred schemas for display. + /// + /// Returns a structured summary suitable for CLI output. + #[must_use] + pub fn schema_summary(&self) -> Vec { + use std::collections::HashMap; + + // Collect stats per predicate + let mut predicate_stats: HashMap = HashMap::new(); + + for entity in self.memories_track.entities() { + for card in self.memories_track.get_entity_cards(&entity) { + let stats = + predicate_stats + .entry(card.slot.clone()) + .or_insert_with(|| PredicateStats { + _entity_count: 0, + value_count: 0, + unique_values: std::collections::HashSet::new(), + entities: std::collections::HashSet::new(), + }); + + stats.value_count += 1; + stats.unique_values.insert(card.value.clone()); + stats.entities.insert(card.entity.clone()); + } + } + + // Build summary entries + let inferred = self.infer_schemas(); + let mut entries: Vec = inferred + .into_iter() + .map(|schema| { + let stats = predicate_stats.get(&schema.id); + let (entity_count, value_count, unique_values) = stats.map_or((0, 0, 0), |s| { + (s.entities.len(), s.value_count, s.unique_values.len()) + }); + + // Check if there's an existing (builtin) schema + let is_builtin = self + .schema_registry + .get(&schema.id) + .is_some_and(|s| s.builtin); + + SchemaSummaryEntry { + predicate: schema.id.clone(), + inferred_type: schema.range.description(), + cardinality: schema.cardinality, + entity_count, + value_count, + unique_values, + is_builtin, + } + }) + .collect(); + + entries.sort_by(|a, b| a.predicate.cmp(&b.predicate)); + entries + } + + /// Run an enrichment engine over unenriched frames. + /// + /// This method: + /// 1. Finds frames not yet processed by this engine version + /// 2. Creates enrichment contexts for each frame + /// 3. Runs the engine and collects memory cards + /// 4. Stores cards and records enrichment + /// + /// # Arguments + /// * `engine` - The enrichment engine to run + /// + /// # Returns + /// A tuple of (`frames_processed`, `cards_extracted`). + pub fn run_enrichment( + &mut self, + engine: &dyn crate::enrich::EnrichmentEngine, + ) -> Result<(usize, usize)> { + use crate::enrich::EnrichmentContext; + + let unenriched = self.get_unenriched_frames(engine.kind(), engine.version()); + let mut frames_processed = 0; + let mut total_cards = 0; + + for frame_id in unenriched { + // Get frame data + // Safe frame lookup + let Ok(index) = usize::try_from(frame_id) else { + continue; + }; + let Some(frame) = self.toc.frames.get(index) else { + continue; + }; + let frame = frame.clone(); + + // Get frame content + let text = match self.frame_content(&frame) { + Ok(t) => t, + Err(_) => continue, + }; + + // Create enrichment context + let uri = frame + .uri + .clone() + .unwrap_or_else(|| crate::default_uri(frame_id)); + let metadata_json = frame + .metadata + .as_ref() + .and_then(|m| serde_json::to_string(m).ok()); + let ctx = EnrichmentContext::new( + frame_id, + uri, + text, + frame.title.clone(), + frame.timestamp, + metadata_json, + ); + + // Run enrichment + let result = engine.enrich(&ctx); + + if result.success { + let cards = result.cards; + let card_count = cards.len(); + + // Store cards + let card_ids = if cards.is_empty() { + Vec::new() + } else { + self.put_memory_cards(cards)? + }; + + // Record enrichment + self.record_enrichment(frame_id, engine.kind(), engine.version(), card_ids)?; + + total_cards += card_count; + } + + frames_processed += 1; + } + + Ok((frames_processed, total_cards)) + } +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::types::MemoryCardBuilder; + use tempfile::NamedTempFile; + + #[test] + fn test_put_and_get_memory_card() { + let temp = NamedTempFile::new().unwrap(); + let path = temp.path(); + std::fs::remove_file(path).ok(); + + let mut memvid = Memvid::create(path).unwrap(); + + let card = MemoryCardBuilder::new() + .fact() + .entity("user") + .slot("employer") + .value("Anthropic") + .source(0, Some("mv2://test".to_string())) + .engine("test", "1.0.0") + .build(0) + .unwrap(); + + let id = memvid.put_memory_card(card).unwrap(); + + let current = memvid.get_current_memory("user", "employer"); + assert!(current.is_some()); + assert_eq!(current.unwrap().value, "Anthropic"); + assert_eq!(current.unwrap().id, id); + } + + #[test] + fn test_enrichment_tracking() { + let temp = NamedTempFile::new().unwrap(); + let path = temp.path(); + std::fs::remove_file(path).ok(); + + let mut memvid = Memvid::create(path).unwrap(); + + // Initially all frames need enrichment + assert!(!memvid.is_frame_enriched(1, "rules-v1", "1.0.0")); + + // Record enrichment + memvid + .record_enrichment(1, "rules-v1", "1.0.0", vec![0, 1]) + .unwrap(); + + // Now frame 1 is enriched by rules-v1 + assert!(memvid.is_frame_enriched(1, "rules-v1", "1.0.0")); + + // But not by a different engine + assert!(!memvid.is_frame_enriched(1, "llm:phi-3.5-mini", "1.0.0")); + } + + #[test] + fn test_memory_stats() { + let temp = NamedTempFile::new().unwrap(); + let path = temp.path(); + std::fs::remove_file(path).ok(); + + let mut memvid = Memvid::create(path).unwrap(); + + // Add some cards + for slot in ["employer", "location", "hobby"] { + let card = MemoryCardBuilder::new() + .fact() + .entity("user") + .slot(slot) + .value("test") + .source(0, None) + .engine("test", "1.0.0") + .build(0) + .unwrap(); + memvid.put_memory_card(card).unwrap(); + } + + let stats = memvid.memories_stats(); + assert_eq!(stats.card_count, 3); + assert_eq!(stats.entity_count, 1); + } + + #[test] + fn test_run_enrichment() { + use crate::PutOptions; + use crate::enrich::RulesEngine; + + let temp = NamedTempFile::new().unwrap(); + let path = temp.path(); + std::fs::remove_file(path).ok(); + + let mut memvid = Memvid::create(path).unwrap(); + + // Add some frames with personal info (disable auto-extraction to test manual enrichment) + let opts = PutOptions::builder().extract_triplets(false).build(); + memvid + .put_bytes_with_options(b"Hello! I work at Anthropic.", opts.clone()) + .unwrap(); + memvid + .put_bytes_with_options(b"I live in San Francisco.", opts.clone()) + .unwrap(); + memvid + .put_bytes_with_options(b"The weather is nice today.", opts) + .unwrap(); + memvid.commit().unwrap(); + + // Run rules engine + let engine = RulesEngine::new(); + let (frames, cards) = memvid.run_enrichment(&engine).unwrap(); + + assert_eq!(frames, 3); + assert_eq!(cards, 2); // employer + location + + // Verify cards were stored + let employer = memvid.get_current_memory("user", "employer"); + assert!(employer.is_some()); + assert_eq!(employer.unwrap().value, "Anthropic"); + + let location = memvid.get_current_memory("user", "location"); + assert!(location.is_some()); + assert_eq!(location.unwrap().value, "San Francisco"); + + // Re-running should not process any frames (already enriched) + let (frames2, cards2) = memvid.run_enrichment(&engine).unwrap(); + assert_eq!(frames2, 0); + assert_eq!(cards2, 0); + } + + #[test] + fn test_schema_validation_strict() { + let temp = NamedTempFile::new().unwrap(); + let path = temp.path(); + std::fs::remove_file(path).ok(); + + let mut memvid = Memvid::create(path).unwrap(); + + // Enable strict schema validation + memvid.set_schema_strict(true); + + // Valid card - age with numeric value + let valid_card = MemoryCardBuilder::new() + .fact() + .entity("user") + .slot("age") + .value("25") // Valid number + .source(0, None) + .engine("test", "1.0.0") + .build(0) + .unwrap(); + + assert!(memvid.put_memory_card(valid_card).is_ok()); + + // Invalid card - age with non-numeric value + let invalid_card = MemoryCardBuilder::new() + .fact() + .entity("user") + .slot("age") + .value("twenty-five") // Invalid - not a number + .source(0, None) + .engine("test", "1.0.0") + .build(0) + .unwrap(); + + let result = memvid.put_memory_card(invalid_card); + assert!(result.is_err()); + } + + #[test] + fn test_schema_validation_non_strict() { + let temp = NamedTempFile::new().unwrap(); + let path = temp.path(); + std::fs::remove_file(path).ok(); + + let mut memvid = Memvid::create(path).unwrap(); + + // Non-strict mode (default) + assert!(!memvid.is_schema_strict()); + + // Invalid card - age with non-numeric value + let invalid_card = MemoryCardBuilder::new() + .fact() + .entity("user") + .slot("age") + .value("twenty-five") // Invalid - not a number + .source(0, None) + .engine("test", "1.0.0") + .build(0) + .unwrap(); + + // In non-strict mode, card should still be inserted (with warning logged) + let result = memvid.put_memory_card(invalid_card); + assert!(result.is_ok()); + + // Verify the card was stored + let cards = memvid.get_entity_memories("user"); + assert_eq!(cards.len(), 1); + } + + #[test] + fn test_schema_registry_custom() { + use crate::types::{PredicateSchema, ValueType}; + + let temp = NamedTempFile::new().unwrap(); + let path = temp.path(); + std::fs::remove_file(path).ok(); + + let mut memvid = Memvid::create(path).unwrap(); + memvid.set_schema_strict(true); + + // Register a custom schema for a "status" predicate with enum values + let status_schema = PredicateSchema::new("status", "Status").with_range(ValueType::Enum { + values: vec!["active".to_string(), "inactive".to_string()], + }); + memvid.register_schema(status_schema); + + // Valid card with allowed enum value + let valid_card = MemoryCardBuilder::new() + .fact() + .entity("user") + .slot("status") + .value("active") + .source(0, None) + .engine("test", "1.0.0") + .build(0) + .unwrap(); + + assert!(memvid.put_memory_card(valid_card).is_ok()); + + // Invalid card with disallowed enum value + let invalid_card = MemoryCardBuilder::new() + .fact() + .entity("user") + .slot("status") + .value("pending") // Not in enum + .source(0, None) + .engine("test", "1.0.0") + .build(0) + .unwrap(); + + assert!(memvid.put_memory_card(invalid_card).is_err()); + } +} diff --git a/src/memvid/mesh.rs b/src/memvid/mesh.rs new file mode 100644 index 0000000..7bab7a1 --- /dev/null +++ b/src/memvid/mesh.rs @@ -0,0 +1,193 @@ +//! Logic-Mesh extensions for `Memvid`. +//! +//! This module provides methods for managing the Logic-Mesh entity-relationship +//! graph within an MV2 file, including adding nodes/edges, traversing relationships, +//! and querying entities. + +use crate::memvid::lifecycle::Memvid; +use crate::types::{ + EntityKind, FollowResult, FrameId, LogicMesh, LogicMeshStats, MeshEdge, MeshNode, + SearchHitEntity, +}; + +impl Memvid { + /// Get an immutable reference to the Logic-Mesh. + /// + /// Returns the in-memory Logic-Mesh. Changes are persisted when + /// the file is committed or sealed. + #[must_use] + pub fn logic_mesh(&self) -> &LogicMesh { + &self.logic_mesh + } + + /// Get a mutable reference to the Logic-Mesh. + /// + /// Returns the in-memory Logic-Mesh for direct manipulation. + /// Changes are persisted when the file is committed or sealed. + pub fn logic_mesh_mut(&mut self) -> &mut LogicMesh { + self.dirty = true; + &mut self.logic_mesh + } + + /// Replace the entire Logic-Mesh with a new one. + /// + /// This is useful after building a mesh from NER extraction. + /// Changes are persisted when the file is committed or sealed. + pub fn set_logic_mesh(&mut self, mesh: LogicMesh) { + self.dirty = true; + self.logic_mesh = mesh; + } + + /// Add a mesh node (entity) to the Logic-Mesh. + /// + /// The node is merged with existing nodes by canonical name and kind. + /// If a matching node exists, mentions and frame IDs are combined. + /// + /// # Arguments + /// * `node` - The mesh node to add + pub fn add_mesh_node(&mut self, node: MeshNode) { + self.dirty = true; + self.logic_mesh.merge_node(node); + } + + /// Add multiple mesh nodes at once. + /// + /// # Arguments + /// * `nodes` - The mesh nodes to add + pub fn add_mesh_nodes(&mut self, nodes: Vec) { + self.dirty = true; + for node in nodes { + self.logic_mesh.merge_node(node); + } + } + + /// Add a mesh edge (relationship) to the Logic-Mesh. + /// + /// The edge is deduplicated by (from, to, `link_type`). + /// + /// # Arguments + /// * `edge` - The mesh edge to add + pub fn add_mesh_edge(&mut self, edge: MeshEdge) { + self.dirty = true; + self.logic_mesh.merge_edge(edge); + } + + /// Add multiple mesh edges at once. + /// + /// # Arguments + /// * `edges` - The mesh edges to add + pub fn add_mesh_edges(&mut self, edges: Vec) { + self.dirty = true; + for edge in edges { + self.logic_mesh.merge_edge(edge); + } + } + + /// Follow relationships from an entity in the graph. + /// + /// Traverses the Logic-Mesh starting from the named entity, + /// following edges of the specified type up to the given number of hops. + /// + /// # Arguments + /// * `start` - The entity name to start from (case-insensitive) + /// * `link` - The relationship type to follow (e.g., "manager", "employer") + /// * `hops` - Maximum number of hops to traverse + /// + /// # Returns + /// A list of entities found by traversing the relationships. + #[must_use] + pub fn follow(&self, start: &str, link: &str, hops: usize) -> Vec { + self.logic_mesh.follow(start, link, hops) + } + + /// Find an entity node by name. + /// + /// # Arguments + /// * `name` - The entity name to search for (case-insensitive) + /// + /// # Returns + /// The matching node if found. + #[must_use] + pub fn find_entity(&self, name: &str) -> Option<&MeshNode> { + self.logic_mesh.find_node(name) + } + + /// Get all entities mentioned in a specific frame. + /// + /// # Arguments + /// * `frame_id` - The frame ID to query + /// + /// # Returns + /// A list of entity nodes that have mentions in the specified frame. + #[must_use] + pub fn frame_entities(&self, frame_id: FrameId) -> Vec<&MeshNode> { + self.logic_mesh + .nodes + .iter() + .filter(|node| node.frame_ids.contains(&frame_id)) + .collect() + } + + /// Get all entities of a specific kind. + /// + /// # Arguments + /// * `kind` - The entity kind to filter by + /// + /// # Returns + /// A list of entity nodes matching the specified kind. + #[must_use] + pub fn entities_by_kind(&self, kind: EntityKind) -> Vec<&MeshNode> { + self.logic_mesh + .nodes + .iter() + .filter(|node| node.kind == kind) + .collect() + } + + /// Get statistics about the Logic-Mesh. + /// + /// # Returns + /// Statistics including node count, edge count, and breakdowns by kind/link type. + #[must_use] + pub fn logic_mesh_stats(&self) -> LogicMeshStats { + self.logic_mesh.stats() + } + + /// Check if the Logic-Mesh has any content. + /// + /// # Returns + /// `true` if the mesh has nodes or edges. + #[must_use] + pub fn has_logic_mesh(&self) -> bool { + !self.logic_mesh.is_empty() + } + + /// Get the number of entity nodes in the mesh. + #[must_use] + pub fn mesh_node_count(&self) -> usize { + self.logic_mesh.nodes.len() + } + + /// Get the number of relationship edges in the mesh. + #[must_use] + pub fn mesh_edge_count(&self) -> usize { + self.logic_mesh.edges.len() + } + + /// Get entities for a frame as `SearchHitEntity` for search metadata. + /// + /// Returns entities from the Logic-Mesh that appear in the given frame. + #[must_use] + pub fn frame_entities_for_search(&self, frame_id: FrameId) -> Vec { + self.logic_mesh + .nodes + .iter() + .filter(|node| node.frame_ids.contains(&frame_id)) + .map(|node| SearchHitEntity { + name: node.display_name.clone(), + kind: node.kind.as_str().to_string(), + confidence: Some(node.confidence_f32()), + }) + .collect() + } +} diff --git a/src/memvid/mod.rs b/src/memvid/mod.rs new file mode 100644 index 0000000..3689681 --- /dev/null +++ b/src/memvid/mod.rs @@ -0,0 +1,38 @@ +//! Core `Memvid` type orchestrating `.mv2` lifecycle and mutations. + +mod acl; +pub mod ask; +pub mod audit; +#[cfg(feature = "parallel_segments")] +pub mod builder; +pub mod chunks; +pub mod doctor; +pub mod enrichment; +pub mod frame; +mod helpers; +pub mod lifecycle; +pub mod maintenance; +pub mod memory; +pub mod mesh; +pub mod mutation; +#[cfg(feature = "parallel_segments")] +pub mod planner; +#[cfg(feature = "replay")] +pub mod replay_ops; +pub mod search; +mod segments; +pub mod sketch; +pub mod ticket; +pub mod timeline; +#[cfg(feature = "parallel_segments")] +pub mod workers; + +#[cfg(feature = "parallel_segments")] +pub use builder::{BuildOpts, ParallelInput, ParallelPayload}; +pub use enrichment::{ + EnrichmentHandle, EnrichmentStats, start_enrichment_worker, + start_enrichment_worker_with_embeddings, +}; +pub use frame::BlobReader; +pub use lifecycle::{LockSettings, Memvid, OpenReadOptions}; +pub use sketch::{SketchCandidate, SketchSearchOptions, SketchSearchStats}; diff --git a/src/memvid/mutation.rs b/src/memvid/mutation.rs new file mode 100644 index 0000000..117eb01 --- /dev/null +++ b/src/memvid/mutation.rs @@ -0,0 +1,4179 @@ +//! Frame mutation and ingestion routines for `Memvid`. +//! +//! Owns the ingest pipeline: bytes/documents → extraction → chunking → metadata/temporal tags +//! → WAL entries → manifest/index updates. This module keeps mutations crash-safe and +//! deterministic; no bytes touch the data region until the embedded WAL is flushed during commit. +//! +//! The long-term structure will split into ingestion/chunking/WAL staging modules. For now +//! everything lives here, grouped by section so the pipeline is easy to scan. + +use std::cmp::min; +use std::collections::{BTreeMap, BTreeSet, HashMap}; +use std::fs::{File, OpenOptions}; +use std::io::{Read, Seek, SeekFrom, Write}; +use std::path::Path; +use std::sync::OnceLock; +use std::time::{Duration, Instant, SystemTime, UNIX_EPOCH}; + +use bincode::serde::{decode_from_slice, encode_to_vec}; +use blake3::hash; +use log::info; +#[cfg(feature = "temporal_track")] +use once_cell::sync::OnceCell; +#[cfg(feature = "temporal_track")] +use regex::Regex; +use serde::{Deserialize, Serialize}; +use serde_json; +use zstd; + +use atomic_write_file::AtomicWriteFile; + +use tracing::instrument; + +#[cfg(feature = "parallel_segments")] +use super::{ + builder::BuildOpts, + planner::{SegmentChunkPlan, SegmentPlanner}, + workers::SegmentWorkerPool, +}; +#[cfg(feature = "temporal_track")] +use crate::TemporalTrackManifest; +use crate::analysis::auto_tag::AutoTagger; +use crate::constants::{WAL_SIZE_LARGE, WAL_SIZE_MEDIUM}; +use crate::footer::CommitFooter; +use crate::io::wal::{EmbeddedWal, WalRecord}; +use crate::memvid::chunks::{plan_document_chunks, plan_text_chunks}; +use crate::memvid::lifecycle::{Memvid, prepare_toc_bytes}; +use crate::reader::{ + DocumentFormat, DocumentReader, PassthroughReader, ReaderDiagnostics, ReaderHint, ReaderOutput, + ReaderRegistry, +}; +#[cfg(feature = "lex")] +use crate::search::{EmbeddedLexSegment, LexWalBatch, TantivySnapshot}; +use crate::triplet::TripletExtractor; +#[cfg(feature = "lex")] +use crate::types::TantivySegmentDescriptor; +use crate::types::{ + CanonicalEncoding, DocMetadata, Frame, FrameId, FrameRole, FrameStatus, PutManyOpts, + PutOptions, SegmentCommon, TextChunkManifest, Tier, +}; +#[cfg(feature = "parallel_segments")] +use crate::types::{IndexSegmentRef, SegmentKind, SegmentSpan, SegmentStats}; +#[cfg(feature = "temporal_track")] +use crate::{ + AnchorSource, TemporalAnchor, TemporalContext, TemporalMention, TemporalMentionFlags, + TemporalMentionKind, TemporalNormalizer, TemporalResolution, TemporalResolutionFlag, + TemporalResolutionValue, +}; +use crate::{ + DEFAULT_SEARCH_TEXT_LIMIT, ExtractedDocument, MemvidError, Result, TimeIndexEntry, + TimeIndexManifest, VecIndexManifest, normalize_text, time_index_append, wal_config, +}; +#[cfg(feature = "temporal_track")] +use time::{Date, Month, OffsetDateTime, PrimitiveDateTime, Time, UtcOffset}; + +const MAGIC_SNIFF_BYTES: usize = 16; +const WAL_ENTRY_HEADER_SIZE: u64 = 48; +const WAL_SHIFT_BUFFER_SIZE: usize = 8 * 1024 * 1024; + +#[cfg(feature = "temporal_track")] +const DEFAULT_TEMPORAL_TZ: &str = "America/Chicago"; + +#[cfg(feature = "temporal_track")] +const STATIC_TEMPORAL_PHRASES: &[&str] = &[ + "today", + "yesterday", + "tomorrow", + "two days ago", + "in 3 days", + "two weeks from now", + "2 weeks from now", + "two fridays ago", + "last friday", + "next friday", + "this friday", + "next week", + "last week", + "end of this month", + "start of next month", + "last month", + "3 months ago", + "in 90 minutes", + "at 5pm today", + "in the last 24 hours", + "this morning", + "on the sunday after next", + "next daylight saving change", + "midnight tomorrow", + "noon next tuesday", + "first business day of next month", + "the first business day of next month", + "end of q3", + "next wednesday at 9", + "sunday at 1:30am", + "monday", + "tuesday", + "wednesday", + "thursday", + "friday", + "saturday", + "sunday", +]; + +struct CommitStaging { + atomic: AtomicWriteFile, +} + +impl CommitStaging { + fn prepare(path: &Path) -> Result { + let mut options = AtomicWriteFile::options(); + options.read(true); + let atomic = options.open(path)?; + Ok(Self { atomic }) + } + + fn copy_from(&mut self, source: &File) -> Result<()> { + let mut reader = source.try_clone()?; + reader.seek(SeekFrom::Start(0))?; + + let writer = self.atomic.as_file_mut(); + writer.set_len(0)?; + writer.seek(SeekFrom::Start(0))?; + std::io::copy(&mut reader, writer)?; + writer.flush()?; + writer.sync_all()?; + Ok(()) + } + + fn clone_file(&self) -> Result { + Ok(self.atomic.as_file().try_clone()?) + } + + fn commit(self) -> Result<()> { + self.atomic.commit().map_err(Into::into) + } + + fn discard(self) -> Result<()> { + self.atomic.discard().map_err(Into::into) + } +} + +#[derive(Debug, Default)] +struct IngestionDelta { + inserted_frames: Vec, + inserted_embeddings: Vec<(FrameId, Vec)>, + inserted_time_entries: Vec, + mutated_frames: bool, + #[cfg(feature = "temporal_track")] + inserted_temporal_mentions: Vec, + #[cfg(feature = "temporal_track")] + inserted_temporal_anchors: Vec, +} + +impl IngestionDelta { + fn is_empty(&self) -> bool { + #[allow(unused_mut)] + let mut empty = self.inserted_frames.is_empty() + && self.inserted_embeddings.is_empty() + && self.inserted_time_entries.is_empty() + && !self.mutated_frames; + #[cfg(feature = "temporal_track")] + { + empty = empty + && self.inserted_temporal_mentions.is_empty() + && self.inserted_temporal_anchors.is_empty(); + } + empty + } +} + +#[derive(Clone, Copy, Debug, PartialEq, Eq)] +pub enum CommitMode { + Full, + Incremental, +} + +impl Default for CommitMode { + fn default() -> Self { + Self::Full + } +} + +#[derive(Clone, Copy, Debug, Default)] +pub struct CommitOptions { + pub mode: CommitMode, + pub background: bool, +} + +impl CommitOptions { + #[must_use] + pub fn new(mode: CommitMode) -> Self { + Self { + mode, + background: false, + } + } + + #[must_use] + pub fn background(mut self, background: bool) -> Self { + self.background = background; + self + } +} + +fn default_reader_registry() -> &'static ReaderRegistry { + static REGISTRY: OnceLock = OnceLock::new(); + REGISTRY.get_or_init(ReaderRegistry::default) +} + +fn infer_document_format( + mime: Option<&str>, + magic: Option<&[u8]>, + uri: Option<&str>, +) -> Option { + // Check PDF magic bytes first + if detect_pdf_magic(magic) { + return Some(DocumentFormat::Pdf); + } + + // For ZIP-based OOXML formats (DOCX, XLSX, PPTX), magic bytes are just ZIP header + // so we need to check file extension to distinguish them + if let Some(magic_bytes) = magic { + if magic_bytes.starts_with(&[0x50, 0x4B, 0x03, 0x04]) { + // It's a ZIP file - check extension to determine OOXML type + if let Some(format) = infer_format_from_extension(uri) { + return Some(format); + } + } + } + + // Try MIME type + if let Some(mime_str) = mime { + let mime_lower = mime_str.trim().to_ascii_lowercase(); + let format = match mime_lower.as_str() { + "application/pdf" => Some(DocumentFormat::Pdf), + "text/plain" => Some(DocumentFormat::PlainText), + "text/markdown" => Some(DocumentFormat::Markdown), + "text/html" | "application/xhtml+xml" => Some(DocumentFormat::Html), + "application/vnd.openxmlformats-officedocument.wordprocessingml.document" => { + Some(DocumentFormat::Docx) + } + "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" => { + Some(DocumentFormat::Xlsx) + } + "application/vnd.ms-excel" => Some(DocumentFormat::Xls), + "application/vnd.openxmlformats-officedocument.presentationml.presentation" => { + Some(DocumentFormat::Pptx) + } + other if other.starts_with("text/") => Some(DocumentFormat::PlainText), + _ => None, + }; + if format.is_some() { + return format; + } + } + + // Fall back to extension-based detection + infer_format_from_extension(uri) +} + +/// Infer document format from file extension in URI/path +fn infer_format_from_extension(uri: Option<&str>) -> Option { + let uri = uri?; + let path = std::path::Path::new(uri); + let ext = path.extension()?.to_str()?.to_ascii_lowercase(); + match ext.as_str() { + "pdf" => Some(DocumentFormat::Pdf), + "docx" => Some(DocumentFormat::Docx), + "xlsx" => Some(DocumentFormat::Xlsx), + "xls" => Some(DocumentFormat::Xls), + "pptx" => Some(DocumentFormat::Pptx), + "txt" | "text" | "log" | "cfg" | "ini" | "json" | "yaml" | "yml" | "toml" | "csv" + | "tsv" | "rs" | "py" | "js" | "ts" | "tsx" | "jsx" | "c" | "h" | "cpp" | "hpp" | "go" + | "rb" | "php" | "css" | "scss" | "sh" | "bash" | "swift" | "kt" | "java" | "scala" + | "sql" => Some(DocumentFormat::PlainText), + "md" | "markdown" => Some(DocumentFormat::Markdown), + "html" | "htm" => Some(DocumentFormat::Html), + _ => None, + } +} + +fn detect_pdf_magic(magic: Option<&[u8]>) -> bool { + let mut slice = match magic { + Some(slice) if !slice.is_empty() => slice, + _ => return false, + }; + if slice.starts_with(&[0xEF, 0xBB, 0xBF]) { + slice = &slice[3..]; + } + while let Some((first, rest)) = slice.split_first() { + if first.is_ascii_whitespace() { + slice = rest; + } else { + break; + } + } + slice.starts_with(b"%PDF") +} + +#[instrument( + target = "memvid::extract", + skip_all, + fields(mime = mime_hint, uri = uri) +)] +fn extract_via_registry( + bytes: &[u8], + mime_hint: Option<&str>, + uri: Option<&str>, +) -> Result { + let registry = default_reader_registry(); + let magic = bytes + .get(..MAGIC_SNIFF_BYTES) + .and_then(|slice| if slice.is_empty() { None } else { Some(slice) }); + let hint = ReaderHint::new(mime_hint, infer_document_format(mime_hint, magic, uri)) + .with_uri(uri) + .with_magic(magic); + + let fallback_reason = if let Some(reader) = registry.find_reader(&hint) { + let start = Instant::now(); + match reader.extract(bytes, &hint) { + Ok(output) => { + return Ok(finalize_reader_output(output, start)); + } + Err(err) => { + tracing::error!( + target = "memvid::extract", + reader = reader.name(), + error = %err, + "reader failed; falling back" + ); + Some(format!("reader {} failed: {err}", reader.name())) + } + } + } else { + tracing::debug!( + target = "memvid::extract", + format = hint.format.map(super::super::reader::DocumentFormat::label), + "no reader matched; using default extractor" + ); + Some("no registered reader matched; using default extractor".to_string()) + }; + + let start = Instant::now(); + let mut output = PassthroughReader.extract(bytes, &hint)?; + if let Some(reason) = fallback_reason { + output.diagnostics.track_warning(reason); + } + Ok(finalize_reader_output(output, start)) +} + +fn finalize_reader_output(output: ReaderOutput, start: Instant) -> ExtractedDocument { + let elapsed = start.elapsed(); + let ReaderOutput { + document, + reader_name, + diagnostics, + } = output; + log_reader_result(&reader_name, &diagnostics, elapsed); + document +} + +fn log_reader_result(reader: &str, diagnostics: &ReaderDiagnostics, elapsed: Duration) { + let duration_ms = diagnostics + .duration_ms + .unwrap_or(elapsed.as_millis().try_into().unwrap_or(u64::MAX)); + let warnings = diagnostics.warnings.len(); + let pages = diagnostics.pages_processed; + + if warnings > 0 || diagnostics.fallback { + tracing::warn!( + target = "memvid::extract", + reader, + duration_ms, + pages, + warnings, + fallback = diagnostics.fallback, + "extraction completed with warnings" + ); + for warning in &diagnostics.warnings { + tracing::warn!(target = "memvid::extract", reader, warning = %warning); + } + } else { + tracing::info!( + target = "memvid::extract", + reader, + duration_ms, + pages, + "extraction completed" + ); + } +} + +impl Memvid { + // -- Public ingestion entrypoints --------------------------------------------------------- + + fn with_staging_lock(&mut self, op: F) -> Result<()> + where + F: FnOnce(&mut Self) -> Result<()>, + { + self.file.sync_all()?; + let mut staging = CommitStaging::prepare(self.path())?; + staging.copy_from(&self.file)?; + + let staging_handle = staging.clone_file()?; + let new_wal = EmbeddedWal::open(&staging_handle, &self.header)?; + let original_file = std::mem::replace(&mut self.file, staging_handle); + let original_wal = std::mem::replace(&mut self.wal, new_wal); + let original_header = self.header.clone(); + let original_toc = self.toc.clone(); + let original_data_end = self.data_end; + let original_generation = self.generation; + let original_dirty = self.dirty; + let original_lex_enabled = self.lex_enabled; + #[cfg(feature = "lex")] + let original_tantivy_dirty = self.tantivy_dirty; + + let destination_path = self.path().to_path_buf(); + let mut original_file = Some(original_file); + let mut original_wal = Some(original_wal); + + match op(self) { + Ok(()) => { + self.file.sync_all()?; + match staging.commit() { + Ok(()) => { + drop(original_file.take()); + drop(original_wal.take()); + self.file = OpenOptions::new() + .read(true) + .write(true) + .open(&destination_path)?; + self.wal = EmbeddedWal::open(&self.file, &self.header)?; + Ok(()) + } + Err(commit_err) => { + if let Some(file) = original_file.take() { + self.file = file; + } + if let Some(wal) = original_wal.take() { + self.wal = wal; + } + self.header = original_header; + self.toc = original_toc; + self.data_end = original_data_end; + self.generation = original_generation; + self.dirty = original_dirty; + self.lex_enabled = original_lex_enabled; + #[cfg(feature = "lex")] + { + self.tantivy_dirty = original_tantivy_dirty; + } + Err(commit_err) + } + } + } + Err(err) => { + let _ = staging.discard(); + if let Some(file) = original_file.take() { + self.file = file; + } + if let Some(wal) = original_wal.take() { + self.wal = wal; + } + self.header = original_header; + self.toc = original_toc; + self.data_end = original_data_end; + self.generation = original_generation; + self.dirty = original_dirty; + self.lex_enabled = original_lex_enabled; + #[cfg(feature = "lex")] + { + self.tantivy_dirty = original_tantivy_dirty; + } + Err(err) + } + } + } + + pub(crate) fn catalog_data_end(&self) -> u64 { + let mut max_end = self.header.wal_offset + self.header.wal_size; + + for descriptor in &self.toc.segment_catalog.lex_segments { + if descriptor.common.bytes_length == 0 { + continue; + } + max_end = max_end.max(descriptor.common.bytes_offset + descriptor.common.bytes_length); + } + + for descriptor in &self.toc.segment_catalog.vec_segments { + if descriptor.common.bytes_length == 0 { + continue; + } + max_end = max_end.max(descriptor.common.bytes_offset + descriptor.common.bytes_length); + } + + for descriptor in &self.toc.segment_catalog.time_segments { + if descriptor.common.bytes_length == 0 { + continue; + } + max_end = max_end.max(descriptor.common.bytes_offset + descriptor.common.bytes_length); + } + + #[cfg(feature = "temporal_track")] + for descriptor in &self.toc.segment_catalog.temporal_segments { + if descriptor.common.bytes_length == 0 { + continue; + } + max_end = max_end.max(descriptor.common.bytes_offset + descriptor.common.bytes_length); + } + + #[cfg(feature = "lex")] + for descriptor in &self.toc.segment_catalog.tantivy_segments { + if descriptor.common.bytes_length == 0 { + continue; + } + max_end = max_end.max(descriptor.common.bytes_offset + descriptor.common.bytes_length); + } + + if let Some(manifest) = self.toc.indexes.lex.as_ref() { + if manifest.bytes_length != 0 { + max_end = max_end.max(manifest.bytes_offset + manifest.bytes_length); + } + } + + if let Some(manifest) = self.toc.indexes.vec.as_ref() { + if manifest.bytes_length != 0 { + max_end = max_end.max(manifest.bytes_offset + manifest.bytes_length); + } + } + + if let Some(manifest) = self.toc.time_index.as_ref() { + if manifest.bytes_length != 0 { + max_end = max_end.max(manifest.bytes_offset + manifest.bytes_length); + } + } + + #[cfg(feature = "temporal_track")] + if let Some(track) = self.toc.temporal_track.as_ref() { + if track.bytes_length != 0 { + max_end = max_end.max(track.bytes_offset + track.bytes_length); + } + } + + max_end + } + + fn payload_region_end(&self) -> u64 { + self.cached_payload_end + } + + fn append_wal_entry(&mut self, payload: &[u8]) -> Result { + loop { + match self.wal.append_entry(payload) { + Ok(seq) => return Ok(seq), + Err(MemvidError::CheckpointFailed { reason }) + if reason == "embedded WAL region too small for entry" + || reason == "embedded WAL region full" => + { + // WAL is either too small for this entry or full with pending entries. + // Grow the WAL to accommodate - doubling ensures we have space. + let required = WAL_ENTRY_HEADER_SIZE + .saturating_add(payload.len() as u64) + .max(self.header.wal_size + 1); + self.grow_wal_region(required)?; + } + Err(err) => return Err(err), + } + } + } + + fn grow_wal_region(&mut self, required_entry_size: u64) -> Result<()> { + let mut new_size = self.header.wal_size; + let mut target = required_entry_size; + if target == 0 { + target = self.header.wal_size; + } + while new_size <= target { + new_size = new_size + .checked_mul(2) + .ok_or_else(|| MemvidError::CheckpointFailed { + reason: "wal_size overflow".into(), + })?; + } + let delta = new_size - self.header.wal_size; + if delta == 0 { + return Ok(()); + } + + self.shift_data_for_wal_growth(delta)?; + self.header.wal_size = new_size; + self.apply_wal_growth_offsets(delta); + + let catalog_end = self.catalog_data_end(); + self.header.footer_offset = catalog_end + .max(self.header.footer_offset) + .max(self.data_end); + + self.rewrite_toc_footer()?; + self.header.toc_checksum = self.toc.toc_checksum; + crate::persist_header(&mut self.file, &self.header)?; + self.file.sync_all()?; + self.wal = EmbeddedWal::open(&self.file, &self.header)?; + Ok(()) + } + + fn shift_data_for_wal_growth(&mut self, delta: u64) -> Result<()> { + if delta == 0 { + return Ok(()); + } + let original_len = self.file.metadata()?.len(); + let data_start = self.header.wal_offset + self.header.wal_size; + self.file.set_len(original_len + delta)?; + + let mut remaining = original_len.saturating_sub(data_start); + let mut buffer = vec![0u8; WAL_SHIFT_BUFFER_SIZE]; + while remaining > 0 { + let chunk = min(remaining, buffer.len() as u64); + let src = data_start + remaining - chunk; + self.file.seek(SeekFrom::Start(src))?; + #[allow(clippy::cast_possible_truncation)] + self.file.read_exact(&mut buffer[..chunk as usize])?; + let dst = src + delta; + self.file.seek(SeekFrom::Start(dst))?; + #[allow(clippy::cast_possible_truncation)] + self.file.write_all(&buffer[..chunk as usize])?; + remaining -= chunk; + } + + self.file.seek(SeekFrom::Start(data_start))?; + let zero_buf = vec![0u8; WAL_SHIFT_BUFFER_SIZE]; + let mut remaining = delta; + while remaining > 0 { + let write = min(remaining, zero_buf.len() as u64); + #[allow(clippy::cast_possible_truncation)] + self.file.write_all(&zero_buf[..write as usize])?; + remaining -= write; + } + Ok(()) + } + + fn apply_wal_growth_offsets(&mut self, delta: u64) { + if delta == 0 { + return; + } + + self.header.footer_offset = self.header.footer_offset.saturating_add(delta); + self.data_end = self.data_end.saturating_add(delta); + // `cached_payload_end` mirrors `data_end` / footer positioning. After + // `shift_data_for_wal_growth` every byte past the old WAL boundary + // moved right by `delta`, so the cached payload boundary must also + // advance. Forgetting this caused `rebuild_indexes` (which seeks to + // `payload_region_end()`) to write embedded indexes back into the + // grown portion of the WAL region, corrupting WAL record payloads. + // See https://github.com/memvid/memvid/issues/230. + self.cached_payload_end = self.cached_payload_end.saturating_add(delta); + self.adjust_offsets_after_wal_growth(delta); + } + + fn adjust_offsets_after_wal_growth(&mut self, delta: u64) { + if delta == 0 { + return; + } + + for frame in &mut self.toc.frames { + if frame.payload_offset != 0 { + frame.payload_offset += delta; + } + } + + for segment in &mut self.toc.segments { + if segment.bytes_offset != 0 { + segment.bytes_offset += delta; + } + } + + if let Some(lex) = self.toc.indexes.lex.as_mut() { + if lex.bytes_offset != 0 { + lex.bytes_offset += delta; + } + } + for manifest in &mut self.toc.indexes.lex_segments { + if manifest.bytes_offset != 0 { + manifest.bytes_offset += delta; + } + } + if let Some(vec) = self.toc.indexes.vec.as_mut() { + if vec.bytes_offset != 0 { + vec.bytes_offset += delta; + } + } + if let Some(time_index) = self.toc.time_index.as_mut() { + if time_index.bytes_offset != 0 { + time_index.bytes_offset += delta; + } + } + #[cfg(feature = "temporal_track")] + if let Some(track) = self.toc.temporal_track.as_mut() { + if track.bytes_offset != 0 { + track.bytes_offset += delta; + } + } + + let catalog = &mut self.toc.segment_catalog; + for descriptor in &mut catalog.lex_segments { + if descriptor.common.bytes_offset != 0 { + descriptor.common.bytes_offset += delta; + } + } + for descriptor in &mut catalog.vec_segments { + if descriptor.common.bytes_offset != 0 { + descriptor.common.bytes_offset += delta; + } + } + for descriptor in &mut catalog.time_segments { + if descriptor.common.bytes_offset != 0 { + descriptor.common.bytes_offset += delta; + } + } + #[cfg(feature = "temporal_track")] + for descriptor in &mut catalog.temporal_segments { + if descriptor.common.bytes_offset != 0 { + descriptor.common.bytes_offset += delta; + } + } + for descriptor in &mut catalog.tantivy_segments { + if descriptor.common.bytes_offset != 0 { + descriptor.common.bytes_offset += delta; + } + } + + #[cfg(feature = "lex")] + if let Ok(mut storage) = self.lex_storage.write() { + storage.adjust_offsets(delta); + } + } + pub fn commit_with_options(&mut self, options: CommitOptions) -> Result<()> { + self.ensure_writable()?; + if options.background { + tracing::debug!("commit background flag ignored; running synchronously"); + } + let mode = options.mode; + let records = self.wal.pending_records()?; + if records.is_empty() && !self.dirty && !self.tantivy_index_pending() { + return Ok(()); + } + self.with_staging_lock(move |mem| mem.commit_from_records(records, mode)) + } + + pub fn commit(&mut self) -> Result<()> { + self.ensure_writable()?; + self.commit_with_options(CommitOptions::new(CommitMode::Full)) + } + + /// Enter batch mode for high-throughput ingestion. + /// + /// While batch mode is active: + /// - WAL fsync is skipped on every append (controlled by `opts.skip_sync`) + /// - Auto-checkpoint is suppressed (controlled by `opts.disable_auto_checkpoint`) + /// - Compression level is lowered (controlled by `opts.compression_level`) + /// - WAL is pre-sized to avoid expensive mid-batch growth (controlled by `opts.wal_pre_size_bytes`) + /// + /// **You must call [`end_batch()`](Self::end_batch) when done** to flush the WAL + /// and restore normal operation. + pub fn begin_batch(&mut self, opts: PutManyOpts) -> Result<()> { + if opts.wal_pre_size_bytes > 0 { + self.ensure_wal_capacity(opts.wal_pre_size_bytes)?; + } + self.wal.set_skip_sync(opts.skip_sync); + self.batch_opts = Some(opts); + Ok(()) + } + + /// Pre-grow the embedded WAL to at least `min_bytes` in a single operation. + /// + /// When `disable_auto_checkpoint` is true, all WAL entries accumulate for + /// the entire batch. If the region is too small it must grow repeatedly, + /// and every growth shifts **all** payload data — O(file_size) per shift. + /// + /// Calling this once before the batch eliminates all mid-batch shifts. + /// On a freshly-created file the shift is essentially free (no data to move). + fn ensure_wal_capacity(&mut self, min_bytes: u64) -> Result<()> { + if min_bytes <= self.header.wal_size { + return Ok(()); + } + // Jump directly to the target size (next power of two for alignment) + let target = min_bytes.next_power_of_two(); + let delta = target.saturating_sub(self.header.wal_size); + if delta == 0 { + return Ok(()); + } + + tracing::info!( + current_wal = self.header.wal_size, + target_wal = target, + delta, + "pre-sizing WAL for batch mode" + ); + + self.shift_data_for_wal_growth(delta)?; + self.header.wal_size = target; + self.apply_wal_growth_offsets(delta); + + let catalog_end = self.catalog_data_end(); + self.header.footer_offset = catalog_end + .max(self.header.footer_offset) + .max(self.data_end); + + self.rewrite_toc_footer()?; + self.header.toc_checksum = self.toc.toc_checksum; + crate::persist_header(&mut self.file, &self.header)?; + self.file.sync_all()?; + self.wal = EmbeddedWal::open(&self.file, &self.header)?; + Ok(()) + } + + /// Exit batch mode, flushing the WAL and restoring per-entry fsync. + /// + /// This performs a single `fsync` for all appends accumulated during the batch, + /// then clears batch options so subsequent puts use default behaviour. + pub fn end_batch(&mut self) -> Result<()> { + // Single fsync for the entire batch + self.wal.flush()?; + self.wal.set_skip_sync(false); + self.batch_opts = None; + Ok(()) + } + + /// Commit pending WAL records without rebuilding any indexes. + /// + /// Optimized for bulk ingestion: payloads and frame metadata are persisted, + /// but time index, Tantivy, vec index, and other index structures are NOT + /// rebuilt. The caller must do a full `commit()` (which triggers + /// `rebuild_indexes()`) after all batches are written. + /// + /// Skips the staging lock for performance — not crash-safe. + pub fn commit_skip_indexes(&mut self) -> Result<()> { + self.ensure_writable()?; + let records = self.wal.pending_records()?; + if records.is_empty() && !self.dirty { + return Ok(()); + } + self.commit_skip_indexes_inner(records) + } + + fn commit_skip_indexes_inner(&mut self, records: Vec) -> Result<()> { + self.generation = self.generation.wrapping_add(1); + + // Temporarily remove Tantivy engine to avoid per-frame indexing work + // and disk reads in apply_records(). We won't persist Tantivy state anyway. + #[cfg(feature = "lex")] + let tantivy_backup = self.tantivy.take(); + + let result = self.apply_records(records); + + // Restore Tantivy engine (unchanged — no dirty frames added) + #[cfg(feature = "lex")] + { + self.tantivy = tantivy_backup; + self.tantivy_dirty = false; + } + + let _delta = result?; + + // Set footer_offset to right after payloads (no index data written) + self.header.footer_offset = self.data_end; + + // Clear stale index manifests so next open() doesn't try to load + // garbage data. Indexes will be rebuilt in the finalize step. + self.toc.time_index = None; + self.toc.indexes.lex_segments.clear(); + // Preserve vec manifest (holds dimension info) but zero out data pointers + if let Some(vec) = self.toc.indexes.vec.as_mut() { + vec.bytes_offset = 0; + vec.bytes_length = 0; + vec.vector_count = 0; + } + self.toc.indexes.lex = None; + self.toc.indexes.clip = None; + self.toc.segment_catalog.lex_segments.clear(); + self.toc.segment_catalog.vec_segments.clear(); + self.toc.segment_catalog.time_segments.clear(); + self.toc.segment_catalog.tantivy_segments.clear(); + #[cfg(feature = "temporal_track")] + { + self.toc.temporal_track = None; + self.toc.segment_catalog.temporal_segments.clear(); + } + self.toc.memories_track = None; + self.toc.logic_mesh = None; + self.toc.sketch_track = None; + + self.rewrite_toc_footer()?; + self.header.toc_checksum = self.toc.toc_checksum; + self.wal.record_checkpoint(&mut self.header)?; + self.header.toc_checksum = self.toc.toc_checksum; + crate::persist_header(&mut self.file, &self.header)?; + self.file.sync_all()?; + self.pending_frame_inserts = 0; + self.dirty = false; + Ok(()) + } + + /// Rebuild all indexes (time, Tantivy, vec) and persist the TOC. + /// + /// Use after bulk ingestion with `commit_skip_indexes()` to build + /// all search indexes in one O(n) pass. This is the complement to + /// `commit_skip_indexes()` — call it once after all batches are done. + pub fn finalize_indexes(&mut self) -> Result<()> { + self.ensure_writable()?; + self.rebuild_indexes(&[], &[])?; + self.rewrite_toc_footer()?; + self.header.toc_checksum = self.toc.toc_checksum; + crate::persist_header(&mut self.file, &self.header)?; + self.file.sync_all()?; + Ok(()) + } + + fn commit_from_records(&mut self, records: Vec, _mode: CommitMode) -> Result<()> { + self.generation = self.generation.wrapping_add(1); + + let delta = self.apply_records(records)?; + let mut indexes_rebuilt = false; + + // Check if CLIP index has pending embeddings that need to be persisted + let clip_needs_persist = self.clip_index.as_ref().is_some_and(|idx| !idx.is_empty()); + + if !delta.is_empty() || clip_needs_persist { + tracing::debug!( + inserted_frames = delta.inserted_frames.len(), + inserted_embeddings = delta.inserted_embeddings.len(), + inserted_time_entries = delta.inserted_time_entries.len(), + clip_needs_persist = clip_needs_persist, + "commit applied delta" + ); + self.rebuild_indexes(&delta.inserted_embeddings, &delta.inserted_frames)?; + indexes_rebuilt = true; + } + + if !indexes_rebuilt && self.tantivy_index_pending() { + self.flush_tantivy()?; + } + + // Persist CLIP index if it has embeddings and wasn't already persisted by rebuild_indexes + if !indexes_rebuilt && self.clip_enabled { + if let Some(ref clip_index) = self.clip_index { + if !clip_index.is_empty() { + self.persist_clip_index()?; + } + } + } + + // Persist memories track if it has cards and wasn't already persisted by rebuild_indexes + if !indexes_rebuilt && self.memories_track.card_count() > 0 { + self.persist_memories_track()?; + } + + // Persist logic mesh if it has nodes and wasn't already persisted by rebuild_indexes + if !indexes_rebuilt && !self.logic_mesh.is_empty() { + self.persist_logic_mesh()?; + } + + // Persist sketch track if it has entries + if !self.sketch_track.is_empty() { + self.persist_sketch_track()?; + } + + // flush_tantivy() and rebuild_indexes() have already set footer_offset correctly. + // DO NOT overwrite it with catalog_data_end() as that would include orphaned segments. + + self.rewrite_toc_footer()?; + self.header.toc_checksum = self.toc.toc_checksum; + self.wal.record_checkpoint(&mut self.header)?; + self.header.toc_checksum = self.toc.toc_checksum; + crate::persist_header(&mut self.file, &self.header)?; + self.file.sync_all()?; + #[cfg(feature = "parallel_segments")] + if let Some(wal) = self.manifest_wal.as_mut() { + wal.flush()?; + wal.truncate()?; + } + self.pending_frame_inserts = 0; + self.dirty = false; + Ok(()) + } + + #[cfg(feature = "parallel_segments")] + pub(crate) fn commit_parallel_with_opts(&mut self, opts: &BuildOpts) -> Result<()> { + self.ensure_writable()?; + if !self.dirty && !self.tantivy_index_pending() { + return Ok(()); + } + let opts = opts.clone(); + self.with_staging_lock(move |mem| mem.commit_parallel_inner(&opts)) + } + + #[cfg(feature = "parallel_segments")] + fn commit_parallel_inner(&mut self, opts: &BuildOpts) -> Result<()> { + if !self.dirty && !self.tantivy_index_pending() { + return Ok(()); + } + let records = self.wal.pending_records()?; + let delta = self.apply_records(records)?; + self.generation = self.generation.wrapping_add(1); + let mut indexes_rebuilt = false; + if !delta.is_empty() { + tracing::info!( + inserted_frames = delta.inserted_frames.len(), + inserted_embeddings = delta.inserted_embeddings.len(), + inserted_time_entries = delta.inserted_time_entries.len(), + "parallel commit applied delta" + ); + // Try to use parallel segment builder first + let used_parallel = self.publish_parallel_delta(&delta, opts)?; + tracing::info!( + "parallel_commit: used_parallel={}, lex_enabled={}", + used_parallel, + self.lex_enabled + ); + if used_parallel { + // Segments were written at data_end; update footer_offset so + // rewrite_toc_footer places the TOC after the new segment data + self.header.footer_offset = self.data_end; + indexes_rebuilt = true; + + // OPTIMIZATION: Use incremental Tantivy indexing instead of full rebuild. + // Only add new frames from the delta, not all frames. + #[cfg(feature = "lex")] + if self.lex_enabled { + tracing::info!( + "parallel_commit: incremental Tantivy update, new_frames={}, total_frames={}", + delta.inserted_frames.len(), + self.toc.frames.len() + ); + + // If Tantivy engine already exists, frames were already indexed during put() + // (at the add_frame call in put_bytes_with_options). Skip re-indexing to avoid + // duplicates. Only initialize and index if Tantivy wasn't present during put. + let tantivy_was_present = self.tantivy.is_some(); + if self.tantivy.is_none() { + self.init_tantivy()?; + } + + // Skip indexing if Tantivy was already present - frames were indexed during put + if tantivy_was_present { + tracing::info!( + "parallel_commit: skipping Tantivy indexing (already indexed during put)" + ); + } else { + // First, collect all frames and their search text (to avoid borrow conflicts) + let max_payload = crate::memvid::search::max_index_payload(); + let mut prepared_docs: Vec<(Frame, String)> = Vec::new(); + + for frame_id in &delta.inserted_frames { + // Look up the actual Frame from the TOC + let frame = match self.toc.frames.get(*frame_id as usize) { + Some(f) => f.clone(), + None => continue, + }; + + // Check if frame has explicit search_text first - clone it for ownership + let explicit_text = frame.search_text.clone(); + if let Some(ref search_text) = explicit_text { + if !search_text.trim().is_empty() { + prepared_docs.push((frame, search_text.clone())); + continue; + } + } + + // Get MIME type and check if text-indexable + let mime = frame + .metadata + .as_ref() + .and_then(|m| m.mime.as_deref()) + .unwrap_or("application/octet-stream"); + + if !crate::memvid::search::is_text_indexable_mime(mime) { + continue; + } + + if frame.payload_length > max_payload { + continue; + } + + let text = self.frame_search_text(&frame)?; + if !text.trim().is_empty() { + prepared_docs.push((frame, text)); + } + } + + // Now add to Tantivy engine (no borrow conflict) + if let Some(ref mut engine) = self.tantivy { + for (frame, text) in &prepared_docs { + engine.add_frame(frame, text)?; + } + + if !prepared_docs.is_empty() { + engine.commit()?; + self.tantivy_dirty = true; + } + + tracing::info!( + "parallel_commit: Tantivy incremental update, added={}, total_docs={}", + prepared_docs.len(), + engine.num_docs() + ); + } else { + tracing::warn!( + "parallel_commit: Tantivy engine is None after init_tantivy" + ); + } + } // end of else !tantivy_was_present + } + + // Time index stores all entries together for timeline queries. + // Unlike Tantivy which is incremental, time index needs full rebuild. + self.file.seek(SeekFrom::Start(self.data_end))?; + let mut time_entries: Vec = self + .toc + .frames + .iter() + .filter(|frame| { + frame.status == FrameStatus::Active && frame.role == FrameRole::Document + }) + .map(|frame| TimeIndexEntry::new(frame.timestamp, frame.id)) + .collect(); + let (ti_offset, ti_length, ti_checksum) = + time_index_append(&mut self.file, &mut time_entries)?; + self.toc.time_index = Some(TimeIndexManifest { + bytes_offset: ti_offset, + bytes_length: ti_length, + entry_count: time_entries.len() as u64, + checksum: ti_checksum, + }); + // Update data_end to account for the newly written time index + self.data_end = ti_offset + ti_length; + self.header.footer_offset = self.data_end; + tracing::info!( + "parallel_commit: rebuilt time_index at offset={}, length={}, entries={}", + ti_offset, + ti_length, + time_entries.len() + ); + } else { + // Fall back to sequential rebuild if no segments were generated + self.rebuild_indexes(&delta.inserted_embeddings, &delta.inserted_frames)?; + indexes_rebuilt = true; + } + } + + // Flush Tantivy index if dirty (from parallel path or pending updates) + #[cfg(feature = "lex")] + if self.tantivy_dirty || (!indexes_rebuilt && self.tantivy_index_pending()) { + self.flush_tantivy()?; + } + + // Persist CLIP index if it has embeddings + if self.clip_enabled { + if let Some(ref clip_index) = self.clip_index { + if !clip_index.is_empty() { + self.persist_clip_index()?; + } + } + } + + // Persist memories track if it has cards + if self.memories_track.card_count() > 0 { + self.persist_memories_track()?; + } + + // Persist logic mesh if it has nodes + if !self.logic_mesh.is_empty() { + self.persist_logic_mesh()?; + } + + // Persist sketch track if it has entries + if !self.sketch_track.is_empty() { + self.persist_sketch_track()?; + } + + // flush_tantivy() has already set footer_offset correctly + // DO NOT overwrite with catalog_data_end() + self.rewrite_toc_footer()?; + self.header.toc_checksum = self.toc.toc_checksum; + self.wal.record_checkpoint(&mut self.header)?; + self.header.toc_checksum = self.toc.toc_checksum; + crate::persist_header(&mut self.file, &self.header)?; + self.file.sync_all()?; + if let Some(wal) = self.manifest_wal.as_mut() { + wal.flush()?; + wal.truncate()?; + } + self.pending_frame_inserts = 0; + self.dirty = false; + Ok(()) + } + + pub(crate) fn recover_wal(&mut self) -> Result<()> { + let records = self.wal.records_after(self.header.wal_sequence)?; + if records.is_empty() { + if self.tantivy_index_pending() { + self.flush_tantivy()?; + } + return Ok(()); + } + let delta = self.apply_records(records)?; + if !delta.is_empty() { + tracing::debug!( + inserted_frames = delta.inserted_frames.len(), + inserted_embeddings = delta.inserted_embeddings.len(), + inserted_time_entries = delta.inserted_time_entries.len(), + "recover applied delta" + ); + self.rebuild_indexes(&delta.inserted_embeddings, &delta.inserted_frames)?; + } else if self.tantivy_index_pending() { + self.flush_tantivy()?; + } + self.wal.record_checkpoint(&mut self.header)?; + crate::persist_header(&mut self.file, &self.header)?; + if !delta.is_empty() { + // rebuild_indexes already flushed Tantivy, so nothing further to do. + } else if self.tantivy_index_pending() { + self.flush_tantivy()?; + crate::persist_header(&mut self.file, &self.header)?; + } + self.file.sync_all()?; + self.pending_frame_inserts = 0; + self.dirty = false; + Ok(()) + } + + fn apply_records(&mut self, records: Vec) -> Result { + let mut delta = IngestionDelta::default(); + if records.is_empty() { + return Ok(delta); + } + + // Use data_end instead of payload_region_end to avoid overwriting + // vec/lex/time segments that were written after the payload region. + // payload_region_end() only considers frame payloads, but data_end tracks + // all data including index segments. + let mut data_cursor = self.data_end; + let mut sequence_to_frame: HashMap = HashMap::new(); + + if !records.is_empty() { + self.file.seek(SeekFrom::Start(data_cursor))?; + for record in records { + let mut entry = match decode_wal_entry(&record.payload)? { + WalEntry::Frame(entry) => entry, + #[cfg(feature = "lex")] + WalEntry::Lex(batch) => { + self.apply_lex_wal(batch)?; + continue; + } + }; + + match entry.op { + FrameWalOp::Insert => { + let frame_id = self.toc.frames.len() as u64; + + let ( + payload_offset, + payload_length, + checksum_bytes, + canonical_length_value, + ) = if let Some(source_id) = entry.reuse_payload_from { + if !entry.payload.is_empty() { + return Err(MemvidError::InvalidFrame { + frame_id: source_id, + reason: "reused payload entry contained inline bytes", + }); + } + let source_idx = usize::try_from(source_id).map_err(|_| { + MemvidError::InvalidFrame { + frame_id: source_id, + reason: "frame id too large for memory", + } + })?; + let source = self.toc.frames.get(source_idx).cloned().ok_or( + MemvidError::InvalidFrame { + frame_id: source_id, + reason: "reused payload source missing", + }, + )?; + ( + source.payload_offset, + source.payload_length, + source.checksum, + entry + .canonical_length + .or(source.canonical_length) + .unwrap_or(source.payload_length), + ) + } else { + self.file.seek(SeekFrom::Start(data_cursor))?; + self.file.write_all(&entry.payload)?; + let checksum = hash(&entry.payload); + let payload_length = entry.payload.len() as u64; + let canonical_length = + if entry.canonical_encoding == CanonicalEncoding::Zstd { + if let Some(len) = entry.canonical_length { + len + } else { + let decoded = crate::decode_canonical_bytes( + &entry.payload, + CanonicalEncoding::Zstd, + frame_id, + )?; + decoded.len() as u64 + } + } else { + entry.canonical_length.unwrap_or(entry.payload.len() as u64) + }; + let payload_offset = data_cursor; + data_cursor += payload_length; + // Keep cached_payload_end in sync (monotonically increasing) + self.cached_payload_end = self.cached_payload_end.max(data_cursor); + ( + payload_offset, + payload_length, + *checksum.as_bytes(), + canonical_length, + ) + }; + + let uri = entry + .uri + .clone() + .unwrap_or_else(|| crate::default_uri(frame_id)); + let title = entry + .title + .clone() + .or_else(|| crate::infer_title_from_uri(&uri)); + + #[cfg(feature = "temporal_track")] + let (anchor_ts, anchor_source) = + self.determine_temporal_anchor(entry.timestamp); + + let mut frame = Frame { + id: frame_id, + timestamp: entry.timestamp, + anchor_ts: { + #[cfg(feature = "temporal_track")] + { + Some(anchor_ts) + } + #[cfg(not(feature = "temporal_track"))] + { + None + } + }, + anchor_source: { + #[cfg(feature = "temporal_track")] + { + Some(anchor_source) + } + #[cfg(not(feature = "temporal_track"))] + { + None + } + }, + kind: entry.kind.clone(), + track: entry.track.clone(), + payload_offset, + payload_length, + checksum: checksum_bytes, + uri: Some(uri), + title, + canonical_encoding: entry.canonical_encoding, + canonical_length: Some(canonical_length_value), + metadata: entry.metadata.clone(), + search_text: entry.search_text.clone(), + tags: entry.tags.clone(), + labels: entry.labels.clone(), + extra_metadata: entry.extra_metadata.clone(), + content_dates: entry.content_dates.clone(), + chunk_manifest: entry.chunk_manifest.clone(), + role: entry.role, + parent_id: None, + chunk_index: entry.chunk_index, + chunk_count: entry.chunk_count, + status: FrameStatus::Active, + supersedes: entry.supersedes_frame_id, + superseded_by: None, + source_sha256: entry.source_sha256, + source_path: entry.source_path.clone(), + enrichment_state: entry.enrichment_state, + }; + + if let Some(parent_seq) = entry.parent_sequence { + if let Some(parent_frame_id) = sequence_to_frame.get(&parent_seq) { + frame.parent_id = Some(*parent_frame_id); + } else { + // Parent sequence not found in current batch - this can happen + // if parent was committed in a previous batch. Try to find parent + // by looking at recently inserted frames with matching characteristics. + // The parent should be the most recent Document frame that has + // a chunk_manifest matching this chunk's expected parent. + if entry.role == FrameRole::DocumentChunk { + // Look backwards through recently inserted frames + for &candidate_id in delta.inserted_frames.iter().rev() { + if let Ok(idx) = usize::try_from(candidate_id) { + if let Some(candidate) = self.toc.frames.get(idx) { + if candidate.role == FrameRole::Document + && candidate.chunk_manifest.is_some() + { + // Found a parent document - use it + frame.parent_id = Some(candidate_id); + tracing::debug!( + chunk_frame_id = frame_id, + parent_frame_id = candidate_id, + parent_seq = parent_seq, + "resolved chunk parent via fallback" + ); + break; + } + } + } + } + } + if frame.parent_id.is_none() { + tracing::warn!( + chunk_frame_id = frame_id, + parent_seq = parent_seq, + "chunk has parent_sequence but parent not found in batch" + ); + } + } + } + + #[cfg(feature = "lex")] + let index_text = if self.tantivy.is_some() { + if let Some(text) = entry.search_text.clone() { + if text.trim().is_empty() { + None + } else { + Some(text) + } + } else { + Some(self.frame_content(&frame)?) + } + } else { + None + }; + #[cfg(feature = "lex")] + if let (Some(engine), Some(text)) = + (self.tantivy.as_mut(), index_text.as_ref()) + { + engine.add_frame(&frame, text)?; + self.tantivy_dirty = true; + + // Generate sketch for fast candidate pre-filtering + // Uses the same text as tantivy indexing for consistency + if !text.trim().is_empty() { + let entry = crate::types::generate_sketch( + frame_id, + text, + crate::types::SketchVariant::Small, + None, + ); + self.sketch_track.insert(entry); + } + } + + if let Some(embedding) = entry.embedding.take() { + delta + .inserted_embeddings + .push((frame_id, embedding.clone())); + } + + if entry.role == FrameRole::Document { + delta + .inserted_time_entries + .push(TimeIndexEntry::new(entry.timestamp, frame_id)); + #[cfg(feature = "temporal_track")] + { + delta.inserted_temporal_anchors.push(TemporalAnchor::new( + frame_id, + anchor_ts, + anchor_source, + )); + delta.inserted_temporal_mentions.extend( + Self::collect_temporal_mentions( + entry.search_text.as_deref(), + frame_id, + anchor_ts, + ), + ); + } + } + + if let Some(predecessor) = frame.supersedes { + self.mark_frame_superseded(predecessor, frame_id)?; + } + + self.toc.frames.push(frame); + delta.inserted_frames.push(frame_id); + sequence_to_frame.insert(record.sequence, frame_id); + } + FrameWalOp::Tombstone => { + let target = entry.target_frame_id.ok_or(MemvidError::InvalidFrame { + frame_id: 0, + reason: "tombstone missing frame reference", + })?; + self.mark_frame_deleted(target)?; + delta.mutated_frames = true; + } + } + } + self.data_end = self.data_end.max(data_cursor); + } + + // Second pass: resolve any orphan DocumentChunk frames that are missing parent_id. + // This handles edge cases where chunks couldn't be linked during the first pass. + // First, collect orphan chunks and their resolved parents to avoid borrow conflicts. + let orphan_resolutions: Vec<(u64, u64)> = delta + .inserted_frames + .iter() + .filter_map(|&frame_id| { + let idx = usize::try_from(frame_id).ok()?; + let frame = self.toc.frames.get(idx)?; + if frame.role != FrameRole::DocumentChunk || frame.parent_id.is_some() { + return None; + } + // Find the most recent Document frame before this chunk that has a manifest + for candidate_id in (0..frame_id).rev() { + if let Ok(idx) = usize::try_from(candidate_id) { + if let Some(candidate) = self.toc.frames.get(idx) { + if candidate.role == FrameRole::Document + && candidate.chunk_manifest.is_some() + && candidate.status == FrameStatus::Active + { + return Some((frame_id, candidate_id)); + } + } + } + } + None + }) + .collect(); + + // Now apply the resolutions + for (chunk_id, parent_id) in orphan_resolutions { + if let Ok(idx) = usize::try_from(chunk_id) { + if let Some(frame) = self.toc.frames.get_mut(idx) { + frame.parent_id = Some(parent_id); + tracing::debug!( + chunk_frame_id = chunk_id, + parent_frame_id = parent_id, + "resolved orphan chunk parent in second pass" + ); + } + } + } + + // Index rebuild now happens once per commit (Option A) instead of incremental append. + // See commit_from_records() for where rebuild_indexes() is invoked. + Ok(delta) + } + + #[cfg(feature = "temporal_track")] + fn determine_temporal_anchor(&self, timestamp: i64) -> (i64, AnchorSource) { + (timestamp, AnchorSource::FrameTimestamp) + } + + #[cfg(feature = "temporal_track")] + fn collect_temporal_mentions( + text: Option<&str>, + frame_id: FrameId, + anchor_ts: i64, + ) -> Vec { + let text = match text { + Some(value) if !value.trim().is_empty() => value, + _ => return Vec::new(), + }; + + let anchor = match OffsetDateTime::from_unix_timestamp(anchor_ts) { + Ok(ts) => ts, + Err(_) => return Vec::new(), + }; + + let context = TemporalContext::new(anchor, DEFAULT_TEMPORAL_TZ.to_string()); + let normalizer = TemporalNormalizer::new(context); + let mut spans: Vec<(usize, usize)> = Vec::new(); + let lower = text.to_ascii_lowercase(); + + for phrase in STATIC_TEMPORAL_PHRASES { + let mut search_start = 0usize; + while let Some(idx) = lower[search_start..].find(phrase) { + let abs = search_start + idx; + let end = abs + phrase.len(); + spans.push((abs, end)); + search_start = end; + } + } + + static NUMERIC_DATE: OnceCell> = OnceCell::new(); + let regex = NUMERIC_DATE.get_or_init(|| { + Regex::new(r"\b\d{1,2}/\d{1,2}/\d{2,4}\b").map_err(|err| err.to_string()) + }); + let regex = match regex { + Ok(re) => re, + Err(msg) => { + tracing::error!(target = "memvid::temporal", error = %msg, "numeric date regex init failed"); + return Vec::new(); + } + }; + for mat in regex.find_iter(text) { + spans.push((mat.start(), mat.end())); + } + + spans.sort_unstable(); + spans.dedup(); + + let mut mentions: Vec = Vec::new(); + for (start, end) in spans { + if end > text.len() || start >= end { + continue; + } + let raw = &text[start..end]; + let trimmed = raw.trim_matches(|c: char| matches!(c, '"' | '\'' | '.' | ',' | ';')); + if trimmed.is_empty() { + continue; + } + let offset = raw.find(trimmed).map(|idx| start + idx).unwrap_or(start); + let finish = offset + trimmed.len(); + match normalizer.resolve(trimmed) { + Ok(resolution) => { + mentions.extend(Self::resolution_to_mentions( + resolution, frame_id, offset, finish, + )); + } + Err(_) => continue, + } + } + + mentions + } + + #[cfg(feature = "temporal_track")] + fn resolution_to_mentions( + resolution: TemporalResolution, + frame_id: FrameId, + byte_start: usize, + byte_end: usize, + ) -> Vec { + let byte_len = byte_end.saturating_sub(byte_start) as u32; + let byte_start = byte_start.min(u32::MAX as usize) as u32; + let mut results = Vec::new(); + + let base_flags = Self::flags_from_resolution(&resolution.flags); + match resolution.value { + TemporalResolutionValue::Date(date) => { + let ts = Self::date_to_timestamp(date); + results.push(TemporalMention::new( + ts, + frame_id, + byte_start, + byte_len, + TemporalMentionKind::Date, + resolution.confidence, + 0, + base_flags, + )); + } + TemporalResolutionValue::DateTime(dt) => { + let ts = dt.unix_timestamp(); + let tz_hint = dt.offset().whole_minutes() as i16; + results.push(TemporalMention::new( + ts, + frame_id, + byte_start, + byte_len, + TemporalMentionKind::DateTime, + resolution.confidence, + tz_hint, + base_flags, + )); + } + TemporalResolutionValue::DateRange { start, end } => { + let flags = base_flags.set(TemporalMentionFlags::HAS_RANGE, true); + let start_ts = Self::date_to_timestamp(start); + results.push(TemporalMention::new( + start_ts, + frame_id, + byte_start, + byte_len, + TemporalMentionKind::RangeStart, + resolution.confidence, + 0, + flags, + )); + let end_ts = Self::date_to_timestamp(end); + results.push(TemporalMention::new( + end_ts, + frame_id, + byte_start, + byte_len, + TemporalMentionKind::RangeEnd, + resolution.confidence, + 0, + flags, + )); + } + TemporalResolutionValue::DateTimeRange { start, end } => { + let flags = base_flags.set(TemporalMentionFlags::HAS_RANGE, true); + results.push(TemporalMention::new( + start.unix_timestamp(), + frame_id, + byte_start, + byte_len, + TemporalMentionKind::RangeStart, + resolution.confidence, + start.offset().whole_minutes() as i16, + flags, + )); + results.push(TemporalMention::new( + end.unix_timestamp(), + frame_id, + byte_start, + byte_len, + TemporalMentionKind::RangeEnd, + resolution.confidence, + end.offset().whole_minutes() as i16, + flags, + )); + } + TemporalResolutionValue::Month { year, month } => { + let start_date = match Date::from_calendar_date(year, month, 1) { + Ok(date) => date, + Err(err) => { + tracing::warn!( + target = "memvid::temporal", + %err, + year, + month = month as u8, + "skipping invalid month resolution" + ); + // Skip invalid range for this mention only. + return results; + } + }; + let end_date = match Self::last_day_in_month(year, month) { + Some(date) => date, + None => { + tracing::warn!( + target = "memvid::temporal", + year, + month = month as u8, + "skipping month resolution with invalid calendar range" + ); + return results; + } + }; + let flags = base_flags.set(TemporalMentionFlags::HAS_RANGE, true); + results.push(TemporalMention::new( + Self::date_to_timestamp(start_date), + frame_id, + byte_start, + byte_len, + TemporalMentionKind::RangeStart, + resolution.confidence, + 0, + flags, + )); + results.push(TemporalMention::new( + Self::date_to_timestamp(end_date), + frame_id, + byte_start, + byte_len, + TemporalMentionKind::RangeEnd, + resolution.confidence, + 0, + flags, + )); + } + } + + results + } + + #[cfg(feature = "temporal_track")] + fn flags_from_resolution(flags: &[TemporalResolutionFlag]) -> TemporalMentionFlags { + let mut result = TemporalMentionFlags::empty(); + if flags + .iter() + .any(|flag| matches!(flag, TemporalResolutionFlag::Ambiguous)) + { + result = result.set(TemporalMentionFlags::AMBIGUOUS, true); + } + if flags + .iter() + .any(|flag| matches!(flag, TemporalResolutionFlag::Relative)) + { + result = result.set(TemporalMentionFlags::DERIVED, true); + } + result + } + + #[cfg(feature = "temporal_track")] + fn date_to_timestamp(date: Date) -> i64 { + PrimitiveDateTime::new(date, Time::MIDNIGHT) + .assume_offset(UtcOffset::UTC) + .unix_timestamp() + } + + #[cfg(feature = "temporal_track")] + fn last_day_in_month(year: i32, month: Month) -> Option { + let mut date = Date::from_calendar_date(year, month, 1).ok()?; + while let Some(next) = date.next_day() { + if next.month() == month { + date = next; + } else { + break; + } + } + Some(date) + } + + #[allow(dead_code)] + fn publish_lex_delta(&mut self, delta: &IngestionDelta) -> Result { + if delta.inserted_frames.is_empty() || !self.lex_enabled { + return Ok(false); + } + + let artifact = match self.build_lex_segment_from_frames(&delta.inserted_frames)? { + Some(artifact) => artifact, + None => return Ok(false), + }; + + let segment_id = self.toc.segment_catalog.next_segment_id; + #[cfg(feature = "parallel_segments")] + let span = + self.segment_span_from_iter(delta.inserted_frames.iter().map(|frame_id| *frame_id)); + + #[cfg_attr(not(feature = "parallel_segments"), allow(unused_mut))] + let mut descriptor = self.append_lex_segment(&artifact, segment_id)?; + #[cfg(feature = "parallel_segments")] + if let Some(span) = span { + Self::decorate_segment_common(&mut descriptor.common, span); + } + #[cfg(feature = "parallel_segments")] + let descriptor_for_manifest = descriptor.clone(); + self.toc.segment_catalog.lex_segments.push(descriptor); + #[cfg(feature = "parallel_segments")] + if let Err(err) = self.record_index_segment( + SegmentKind::Lexical, + descriptor_for_manifest.common, + SegmentStats { + doc_count: artifact.doc_count, + vector_count: 0, + time_entries: 0, + bytes_uncompressed: artifact.bytes.len() as u64, + build_micros: 0, + }, + ) { + tracing::warn!(error = %err, "manifest WAL append failed for lex segment"); + } + self.toc.segment_catalog.version = self.toc.segment_catalog.version.max(1); + self.toc.segment_catalog.next_segment_id = segment_id.saturating_add(1); + Ok(true) + } + + #[allow(dead_code)] + fn publish_vec_delta(&mut self, delta: &IngestionDelta) -> Result { + if delta.inserted_embeddings.is_empty() || !self.vec_enabled { + return Ok(false); + } + + let artifact = match self.build_vec_segment_from_embeddings(&delta.inserted_embeddings)? { + Some(artifact) => artifact, + None => return Ok(false), + }; + + if let Some(existing_dim) = self.effective_vec_index_dimension()? { + if existing_dim != artifact.dimension { + return Err(MemvidError::VecDimensionMismatch { + expected: existing_dim, + actual: artifact.dimension as usize, + }); + } + } + + let segment_id = self.toc.segment_catalog.next_segment_id; + #[cfg(feature = "parallel_segments")] + #[cfg(feature = "parallel_segments")] + let span = self.segment_span_from_iter(delta.inserted_embeddings.iter().map(|(id, _)| *id)); + + #[cfg_attr(not(feature = "parallel_segments"), allow(unused_mut))] + let mut descriptor = self.append_vec_segment(&artifact, segment_id)?; + #[cfg(feature = "parallel_segments")] + if let Some(span) = span { + Self::decorate_segment_common(&mut descriptor.common, span); + } + #[cfg(feature = "parallel_segments")] + let descriptor_for_manifest = descriptor.clone(); + self.toc.segment_catalog.vec_segments.push(descriptor); + #[cfg(feature = "parallel_segments")] + if let Err(err) = self.record_index_segment( + SegmentKind::Vector, + descriptor_for_manifest.common, + SegmentStats { + doc_count: 0, + vector_count: artifact.vector_count, + time_entries: 0, + bytes_uncompressed: artifact.bytes_uncompressed, + build_micros: 0, + }, + ) { + tracing::warn!(error = %err, "manifest WAL append failed for vec segment"); + } + self.toc.segment_catalog.version = self.toc.segment_catalog.version.max(1); + self.toc.segment_catalog.next_segment_id = segment_id.saturating_add(1); + + // Keep the global vec manifest in sync for auto-detection and stats. + if self.toc.indexes.vec.is_none() { + let empty_offset = self.data_end; + let empty_checksum = *b"\xe3\xb0\xc4\x42\x98\xfc\x1c\x14\x9a\xfb\xf4\xc8\x99\x6f\xb9\x24\ + \x27\xae\x41\xe4\x64\x9b\x93\x4c\xa4\x95\x99\x1b\x78\x52\xb8\x55"; + self.toc.indexes.vec = Some(VecIndexManifest { + vector_count: 0, + dimension: 0, + bytes_offset: empty_offset, + bytes_length: 0, + checksum: empty_checksum, + compression_mode: self.vec_compression.clone(), + model: self.vec_model.clone(), + }); + } + if let Some(manifest) = self.toc.indexes.vec.as_mut() { + if manifest.dimension == 0 { + manifest.dimension = artifact.dimension; + } + if manifest.bytes_length == 0 { + manifest.vector_count = manifest.vector_count.saturating_add(artifact.vector_count); + manifest.compression_mode = artifact.compression.clone(); + } + } + + self.vec_enabled = true; + Ok(true) + } + + #[allow(dead_code)] + fn publish_time_delta(&mut self, delta: &IngestionDelta) -> Result { + if delta.inserted_time_entries.is_empty() { + return Ok(false); + } + + let artifact = match self.build_time_segment_from_entries(&delta.inserted_time_entries)? { + Some(artifact) => artifact, + None => return Ok(false), + }; + + let segment_id = self.toc.segment_catalog.next_segment_id; + #[cfg(feature = "parallel_segments")] + #[cfg(feature = "parallel_segments")] + let span = self.segment_span_from_iter( + delta + .inserted_time_entries + .iter() + .map(|entry| entry.frame_id), + ); + + #[cfg_attr(not(feature = "parallel_segments"), allow(unused_mut))] + let mut descriptor = self.append_time_segment(&artifact, segment_id)?; + #[cfg(feature = "parallel_segments")] + if let Some(span) = span { + Self::decorate_segment_common(&mut descriptor.common, span); + } + #[cfg(feature = "parallel_segments")] + let descriptor_for_manifest = descriptor.clone(); + self.toc.segment_catalog.time_segments.push(descriptor); + #[cfg(feature = "parallel_segments")] + if let Err(err) = self.record_index_segment( + SegmentKind::Time, + descriptor_for_manifest.common, + SegmentStats { + doc_count: 0, + vector_count: 0, + time_entries: artifact.entry_count, + bytes_uncompressed: artifact.bytes.len() as u64, + build_micros: 0, + }, + ) { + tracing::warn!(error = %err, "manifest WAL append failed for time segment"); + } + self.toc.segment_catalog.version = self.toc.segment_catalog.version.max(1); + self.toc.segment_catalog.next_segment_id = segment_id.saturating_add(1); + Ok(true) + } + + #[cfg(feature = "temporal_track")] + #[allow(dead_code)] + fn publish_temporal_delta(&mut self, delta: &IngestionDelta) -> Result { + if delta.inserted_temporal_mentions.is_empty() && delta.inserted_temporal_anchors.is_empty() + { + return Ok(false); + } + + debug_assert!( + delta.inserted_temporal_mentions.len() < 1_000_000, + "temporal delta mentions unexpectedly large: {}", + delta.inserted_temporal_mentions.len() + ); + debug_assert!( + delta.inserted_temporal_anchors.len() < 1_000_000, + "temporal delta anchors unexpectedly large: {}", + delta.inserted_temporal_anchors.len() + ); + + let artifact = match self.build_temporal_segment_from_records( + &delta.inserted_temporal_mentions, + &delta.inserted_temporal_anchors, + )? { + Some(artifact) => artifact, + None => return Ok(false), + }; + + let segment_id = self.toc.segment_catalog.next_segment_id; + let descriptor = self.append_temporal_segment(&artifact, segment_id)?; + self.toc + .segment_catalog + .temporal_segments + .push(descriptor.clone()); + self.toc.segment_catalog.version = self.toc.segment_catalog.version.max(1); + self.toc.segment_catalog.next_segment_id = segment_id.saturating_add(1); + + self.toc.temporal_track = Some(TemporalTrackManifest { + bytes_offset: descriptor.common.bytes_offset, + bytes_length: descriptor.common.bytes_length, + entry_count: artifact.entry_count, + anchor_count: artifact.anchor_count, + checksum: artifact.checksum, + flags: artifact.flags, + }); + + self.clear_temporal_track_cache(); + + Ok(true) + } + + fn mark_frame_superseded(&mut self, frame_id: FrameId, successor_id: FrameId) -> Result<()> { + let index = usize::try_from(frame_id).map_err(|_| MemvidError::InvalidFrame { + frame_id, + reason: "frame id too large", + })?; + let frame = self + .toc + .frames + .get_mut(index) + .ok_or(MemvidError::InvalidFrame { + frame_id, + reason: "supersede target missing", + })?; + frame.status = FrameStatus::Superseded; + frame.superseded_by = Some(successor_id); + self.remove_frame_from_indexes(frame_id) + } + + pub(crate) fn rebuild_indexes( + &mut self, + new_vec_docs: &[(FrameId, Vec)], + inserted_frame_ids: &[FrameId], + ) -> Result<()> { + if self.toc.frames.is_empty() && !self.lex_enabled && !self.vec_enabled { + return Ok(()); + } + + let payload_end = self.payload_region_end(); + self.data_end = payload_end; + // Don't truncate if footer_offset is higher - there may be replay segments + // or other data written after payload_end that must be preserved. + let safe_truncate_len = self.header.footer_offset.max(payload_end); + if self.file.metadata()?.len() > safe_truncate_len { + self.file.set_len(safe_truncate_len)?; + } + self.file.seek(SeekFrom::Start(payload_end))?; + + // Clear legacy per-segment catalogs; full rebuild emits fresh manifests. + self.toc.segment_catalog.lex_segments.clear(); + self.toc.segment_catalog.vec_segments.clear(); + self.toc.segment_catalog.time_segments.clear(); + #[cfg(feature = "temporal_track")] + self.toc.segment_catalog.temporal_segments.clear(); + #[cfg(feature = "parallel_segments")] + self.toc.segment_catalog.index_segments.clear(); + // Drop any stale Tantivy manifests so offsets are rebuilt fresh. + self.toc.segment_catalog.tantivy_segments.clear(); + // Drop any stale embedded lex manifest entries before rebuilding Tantivy. + self.toc.indexes.lex_segments.clear(); + + let mut time_entries: Vec = self + .toc + .frames + .iter() + .filter(|frame| { + frame.status == FrameStatus::Active && frame.role == FrameRole::Document + }) + .map(|frame| TimeIndexEntry::new(frame.timestamp, frame.id)) + .collect(); + let (ti_offset, ti_length, ti_checksum) = + time_index_append(&mut self.file, &mut time_entries)?; + self.toc.time_index = Some(TimeIndexManifest { + bytes_offset: ti_offset, + bytes_length: ti_length, + entry_count: time_entries.len() as u64, + checksum: ti_checksum, + }); + + let mut footer_offset = ti_offset + ti_length; + + #[cfg(feature = "temporal_track")] + { + self.toc.temporal_track = None; + self.toc.segment_catalog.temporal_segments.clear(); + self.clear_temporal_track_cache(); + } + + if self.lex_enabled { + #[cfg(feature = "lex")] + { + if self.tantivy_dirty { + // instant_index was used: frames were added to Tantivy with WAL + // sequence numbers as IDs, which don't match the actual frame IDs + // assigned during apply_records(). Must do a full rebuild to fix IDs. + if let Ok(mut storage) = self.lex_storage.write() { + storage.clear(); + storage.set_generation(0); + } + self.init_tantivy()?; + if let Some(mut engine) = self.tantivy.take() { + self.rebuild_tantivy_engine(&mut engine)?; + self.tantivy = Some(engine); + } else { + return Err(MemvidError::InvalidToc { + reason: "tantivy engine missing during rebuild".into(), + }); + } + } else if self.tantivy.is_some() && !inserted_frame_ids.is_empty() { + // Incremental path: engine exists (from open() or previous commit), + // instant_index was NOT used so no wrong IDs. Just add new frames. + // This is O(batch_size) — the key optimization for bulk ingestion. + // + // Collect frames + text first to avoid borrow conflicts with engine. + let max_payload = crate::memvid::search::max_index_payload(); + let mut prepared_docs: Vec<(Frame, String)> = Vec::new(); + for &frame_id in inserted_frame_ids { + let Ok(idx) = usize::try_from(frame_id) else { + continue; + }; + let frame = match self.toc.frames.get(idx) { + Some(f) => f.clone(), + None => continue, + }; + if frame.status != FrameStatus::Active { + continue; + } + if let Some(search_text) = frame.search_text.clone() { + if !search_text.trim().is_empty() { + prepared_docs.push((frame, search_text)); + continue; + } + } + let mime = frame + .metadata + .as_ref() + .and_then(|m| m.mime.as_deref()) + .unwrap_or("application/octet-stream"); + if !crate::memvid::search::is_text_indexable_mime(mime) { + continue; + } + if frame.payload_length > max_payload { + continue; + } + let text = self.frame_search_text(&frame)?; + if !text.trim().is_empty() { + prepared_docs.push((frame, text)); + } + } + if let Some(engine) = self.tantivy.as_mut() { + for (frame, text) in &prepared_docs { + engine.add_frame(frame, text)?; + } + engine.commit()?; + } + } else { + // Full rebuild path: no engine or no new frames (e.g., doctor repair). + // Clear embedded storage to avoid carrying stale segments between rebuilds. + if let Ok(mut storage) = self.lex_storage.write() { + storage.clear(); + storage.set_generation(0); + } + self.init_tantivy()?; + if let Some(mut engine) = self.tantivy.take() { + self.rebuild_tantivy_engine(&mut engine)?; + self.tantivy = Some(engine); + } else { + return Err(MemvidError::InvalidToc { + reason: "tantivy engine missing during rebuild".into(), + }); + } + } + + // Set lex_enabled to ensure it persists + self.lex_enabled = true; + + // Mark Tantivy as dirty so it gets flushed + self.tantivy_dirty = true; + + // Position embedded Tantivy segments immediately after the time index. + self.data_end = footer_offset; + + // Flush Tantivy segments to file + self.flush_tantivy()?; + + // Update footer_offset after Tantivy flush + footer_offset = self.header.footer_offset; + + // Restore data_end to payload boundary so future payload writes stay before indexes. + self.data_end = payload_end; + } + #[cfg(not(feature = "lex"))] + { + self.toc.indexes.lex = None; + self.toc.indexes.lex_segments.clear(); + } + } else { + // Lex disabled: clear everything + self.toc.indexes.lex = None; + self.toc.indexes.lex_segments.clear(); + #[cfg(feature = "lex")] + if let Ok(mut storage) = self.lex_storage.write() { + storage.clear(); + } + } + + if let Some((artifact, index)) = self.build_vec_artifact(new_vec_docs)? { + let vec_offset = footer_offset; + self.file.seek(SeekFrom::Start(vec_offset))?; + self.file.write_all(&artifact.bytes)?; + footer_offset += artifact.bytes.len() as u64; + self.toc.indexes.vec = Some(VecIndexManifest { + vector_count: artifact.vector_count, + dimension: artifact.dimension, + bytes_offset: vec_offset, + bytes_length: artifact.bytes.len() as u64, + checksum: artifact.checksum, + compression_mode: self.vec_compression.clone(), + model: self.vec_model.clone(), + }); + self.vec_index = Some(index); + } else { + // Only clear manifest if vec is disabled, keep empty placeholder if enabled + if !self.vec_enabled { + self.toc.indexes.vec = None; + } + self.vec_index = None; + } + + // Persist CLIP index if it has embeddings + if self.clip_enabled { + if let Some(ref clip_index) = self.clip_index { + if !clip_index.is_empty() { + let artifact = clip_index.encode()?; + let clip_offset = footer_offset; + self.file.seek(SeekFrom::Start(clip_offset))?; + self.file.write_all(&artifact.bytes)?; + footer_offset += artifact.bytes.len() as u64; + self.toc.indexes.clip = Some(crate::clip::ClipIndexManifest { + bytes_offset: clip_offset, + bytes_length: artifact.bytes.len() as u64, + vector_count: artifact.vector_count, + dimension: artifact.dimension, + checksum: artifact.checksum, + model_name: crate::clip::default_model_info().name.to_string(), + }); + tracing::info!( + "rebuild_indexes: persisted CLIP index with {} vectors at offset {}", + artifact.vector_count, + clip_offset + ); + } + } + } else { + self.toc.indexes.clip = None; + } + + // Persist memories track if it has cards + if self.memories_track.card_count() > 0 { + let memories_offset = footer_offset; + let memories_bytes = self.memories_track.serialize()?; + let memories_checksum = blake3::hash(&memories_bytes).into(); + self.file.seek(SeekFrom::Start(memories_offset))?; + self.file.write_all(&memories_bytes)?; + footer_offset += memories_bytes.len() as u64; + + let stats = self.memories_track.stats(); + self.toc.memories_track = Some(crate::types::MemoriesTrackManifest { + bytes_offset: memories_offset, + bytes_length: memories_bytes.len() as u64, + card_count: stats.card_count as u64, + entity_count: stats.entity_count as u64, + checksum: memories_checksum, + }); + } else { + self.toc.memories_track = None; + } + + // Persist logic mesh if it has nodes + if self.logic_mesh.is_empty() { + self.toc.logic_mesh = None; + } else { + let mesh_offset = footer_offset; + let mesh_bytes = self.logic_mesh.serialize()?; + let mesh_checksum: [u8; 32] = blake3::hash(&mesh_bytes).into(); + self.file.seek(SeekFrom::Start(mesh_offset))?; + self.file.write_all(&mesh_bytes)?; + footer_offset += mesh_bytes.len() as u64; + + let stats = self.logic_mesh.stats(); + self.toc.logic_mesh = Some(crate::types::LogicMeshManifest { + bytes_offset: mesh_offset, + bytes_length: mesh_bytes.len() as u64, + node_count: stats.node_count as u64, + edge_count: stats.edge_count as u64, + checksum: mesh_checksum, + }); + } + + // This fires on every full rebuild (doctor/compaction); keep it informational to avoid noisy WARNs. + tracing::info!( + "rebuild_indexes: ti_offset={} ti_length={} computed_footer={} current_footer={} (before setting)", + ti_offset, + ti_length, + footer_offset, + self.header.footer_offset + ); + + // Use max() to preserve any higher footer_offset (e.g., from replay segment) + // This prevents overwriting data like replay segments that were written after index data + self.header.footer_offset = self.header.footer_offset.max(footer_offset); + + // Ensure the file length covers rebuilt indexes to avoid out-of-bounds manifests. + if self.file.metadata()?.len() < self.header.footer_offset { + self.file.set_len(self.header.footer_offset)?; + } + + self.rewrite_toc_footer()?; + self.header.toc_checksum = self.toc.toc_checksum; + crate::persist_header(&mut self.file, &self.header)?; + + #[cfg(feature = "lex")] + if self.lex_enabled { + if let Some(ref engine) = self.tantivy { + let doc_count = engine.num_docs(); + let active_frame_count = self + .toc + .frames + .iter() + .filter(|f| f.status == FrameStatus::Active) + .count(); + + // Count frames that would actually be indexed by rebuild_tantivy_engine + // Uses the same logic: content-type based check + size limit + let text_indexable_count = self + .toc + .frames + .iter() + .filter(|f| crate::memvid::search::is_frame_text_indexable(f)) + .count(); + + // Only fail if we have text-indexable frames but none got indexed + // This avoids false positives for binary files (videos, images) + if doc_count == 0 && text_indexable_count > 0 { + return Err(MemvidError::Doctor { + reason: format!( + "Lex index rebuild failed: 0 documents indexed from {text_indexable_count} text-indexable frames. \ + This indicates a critical failure in the rebuild process." + ), + }); + } + + // Success! Log it + log::info!( + "✓ Doctor lex index rebuild succeeded: {doc_count} docs from {active_frame_count} frames ({text_indexable_count} text-indexable)" + ); + } + } + + Ok(()) + } + + /// Persist the memories track to the file without a full rebuild. + /// + /// This is used when the memories track has been modified but no frame + /// changes were made (e.g., after running enrichment). + fn persist_memories_track(&mut self) -> Result<()> { + if self.memories_track.card_count() == 0 { + self.toc.memories_track = None; + return Ok(()); + } + + // Write after the current footer_offset + let memories_offset = self.header.footer_offset; + let memories_bytes = self.memories_track.serialize()?; + let memories_checksum: [u8; 32] = blake3::hash(&memories_bytes).into(); + + self.file.seek(SeekFrom::Start(memories_offset))?; + self.file.write_all(&memories_bytes)?; + + let stats = self.memories_track.stats(); + self.toc.memories_track = Some(crate::types::MemoriesTrackManifest { + bytes_offset: memories_offset, + bytes_length: memories_bytes.len() as u64, + card_count: stats.card_count as u64, + entity_count: stats.entity_count as u64, + checksum: memories_checksum, + }); + + // Update footer_offset to account for the memories track + self.header.footer_offset = memories_offset + memories_bytes.len() as u64; + + // Ensure the file length covers the memories track + if self.file.metadata()?.len() < self.header.footer_offset { + self.file.set_len(self.header.footer_offset)?; + } + + Ok(()) + } + + /// Persist the CLIP index to the file without a full rebuild. + /// + /// This is used when CLIP embeddings have been added but no full + /// index rebuild is needed (e.g., in parallel segments mode). + fn persist_clip_index(&mut self) -> Result<()> { + if !self.clip_enabled { + self.toc.indexes.clip = None; + return Ok(()); + } + + let clip_index = match &self.clip_index { + Some(idx) if !idx.is_empty() => idx, + _ => { + self.toc.indexes.clip = None; + return Ok(()); + } + }; + + // Encode the CLIP index + let artifact = clip_index.encode()?; + + // Write after the current footer_offset + let clip_offset = self.header.footer_offset; + self.file.seek(SeekFrom::Start(clip_offset))?; + self.file.write_all(&artifact.bytes)?; + + self.toc.indexes.clip = Some(crate::clip::ClipIndexManifest { + bytes_offset: clip_offset, + bytes_length: artifact.bytes.len() as u64, + vector_count: artifact.vector_count, + dimension: artifact.dimension, + checksum: artifact.checksum, + model_name: crate::clip::default_model_info().name.to_string(), + }); + + tracing::info!( + "persist_clip_index: persisted CLIP index with {} vectors at offset {}", + artifact.vector_count, + clip_offset + ); + + // Update footer_offset to account for the CLIP index + self.header.footer_offset = clip_offset + artifact.bytes.len() as u64; + + // Ensure the file length covers the CLIP index + if self.file.metadata()?.len() < self.header.footer_offset { + self.file.set_len(self.header.footer_offset)?; + } + + Ok(()) + } + + /// Persist the Logic-Mesh to the file without a full rebuild. + /// + /// This is used when the Logic-Mesh has been modified but no frame + /// changes were made (e.g., after running NER enrichment). + fn persist_logic_mesh(&mut self) -> Result<()> { + if self.logic_mesh.is_empty() { + self.toc.logic_mesh = None; + return Ok(()); + } + + // Write after the current footer_offset + let mesh_offset = self.header.footer_offset; + let mesh_bytes = self.logic_mesh.serialize()?; + let mesh_checksum: [u8; 32] = blake3::hash(&mesh_bytes).into(); + + self.file.seek(SeekFrom::Start(mesh_offset))?; + self.file.write_all(&mesh_bytes)?; + + let stats = self.logic_mesh.stats(); + self.toc.logic_mesh = Some(crate::types::LogicMeshManifest { + bytes_offset: mesh_offset, + bytes_length: mesh_bytes.len() as u64, + node_count: stats.node_count as u64, + edge_count: stats.edge_count as u64, + checksum: mesh_checksum, + }); + + // Update footer_offset to account for the logic mesh + self.header.footer_offset = mesh_offset + mesh_bytes.len() as u64; + + // Ensure the file length covers the logic mesh + if self.file.metadata()?.len() < self.header.footer_offset { + self.file.set_len(self.header.footer_offset)?; + } + + Ok(()) + } + + /// Persist the sketch track to the file without a full rebuild. + /// + /// This is used when the sketch track has been modified (e.g., after + /// running `sketch build`). + fn persist_sketch_track(&mut self) -> Result<()> { + if self.sketch_track.is_empty() { + self.toc.sketch_track = None; + return Ok(()); + } + + // Seek to write after the current footer_offset + self.file.seek(SeekFrom::Start(self.header.footer_offset))?; + + // Write the sketch track and get (offset, length, checksum) + let (sketch_offset, sketch_length, sketch_checksum) = + crate::types::write_sketch_track(&mut self.file, &self.sketch_track)?; + + let stats = self.sketch_track.stats(); + self.toc.sketch_track = Some(crate::types::SketchTrackManifest { + bytes_offset: sketch_offset, + bytes_length: sketch_length, + entry_count: stats.entry_count, + #[allow(clippy::cast_possible_truncation)] + entry_size: stats.variant.entry_size() as u16, + flags: 0, + checksum: sketch_checksum, + }); + + // Update footer_offset to account for the sketch track + self.header.footer_offset = sketch_offset + sketch_length; + + // Ensure the file length covers the sketch track + if self.file.metadata()?.len() < self.header.footer_offset { + self.file.set_len(self.header.footer_offset)?; + } + + tracing::debug!( + "persist_sketch_track: persisted sketch track with {} entries at offset {}", + stats.entry_count, + sketch_offset + ); + + Ok(()) + } + + #[cfg(feature = "lex")] + fn apply_lex_wal(&mut self, batch: LexWalBatch) -> Result<()> { + let LexWalBatch { + generation, + doc_count, + checksum, + segments, + } = batch; + + if let Ok(mut storage) = self.lex_storage.write() { + storage.replace(doc_count, checksum, segments); + storage.set_generation(generation); + } + + self.persist_lex_manifest() + } + + #[cfg(feature = "lex")] + fn append_lex_batch(&mut self, batch: &LexWalBatch) -> Result<()> { + let payload = encode_to_vec(WalEntry::Lex(batch.clone()), wal_config())?; + self.append_wal_entry(&payload)?; + Ok(()) + } + + #[cfg(feature = "lex")] + fn persist_lex_manifest(&mut self) -> Result<()> { + let (index_manifest, segments) = if let Ok(storage) = self.lex_storage.read() { + storage.to_manifest() + } else { + (None, Vec::new()) + }; + + // Update the manifest + if let Some(storage_manifest) = index_manifest { + // Old LexIndexArtifact format: set the manifest with actual offset/length + self.toc.indexes.lex = Some(storage_manifest); + } else { + // Tantivy segments OR lex disabled: clear the manifest + // Stats will check lex_segments instead of manifest + self.toc.indexes.lex = None; + } + + self.toc.indexes.lex_segments = segments; + + // footer_offset is already correctly set by flush_tantivy() earlier in this function. + // DO NOT call catalog_data_end() as it would include orphaned Tantivy segments. + + self.rewrite_toc_footer()?; + self.header.toc_checksum = self.toc.toc_checksum; + crate::persist_header(&mut self.file, &self.header)?; + Ok(()) + } + + #[cfg(feature = "lex")] + pub(crate) fn update_embedded_lex_snapshot(&mut self, snapshot: TantivySnapshot) -> Result<()> { + let TantivySnapshot { + doc_count, + checksum, + segments, + } = snapshot; + + let mut footer_offset = self.data_end; + self.file.seek(SeekFrom::Start(footer_offset))?; + + let mut embedded_segments: Vec = Vec::with_capacity(segments.len()); + for segment in segments { + let bytes_length = segment.bytes.len() as u64; + self.file.write_all(&segment.bytes)?; + self.file.flush()?; // Flush segment data to disk + embedded_segments.push(EmbeddedLexSegment { + path: segment.path, + bytes_offset: footer_offset, + bytes_length, + checksum: segment.checksum, + }); + footer_offset += bytes_length; + } + // Set footer_offset for TOC writing, but DON'T update data_end + // data_end stays at end of payloads, so next commit overwrites these segments + // Use max() to never decrease footer_offset - this preserves replay segments + // that may have been written at a higher offset + self.header.footer_offset = self.header.footer_offset.max(footer_offset); + + let mut next_segment_id = self.toc.segment_catalog.next_segment_id; + let mut catalog_segments: Vec = + Vec::with_capacity(embedded_segments.len()); + for segment in &embedded_segments { + let descriptor = TantivySegmentDescriptor::from_common( + SegmentCommon::new( + next_segment_id, + segment.bytes_offset, + segment.bytes_length, + segment.checksum, + ), + segment.path.clone(), + ); + catalog_segments.push(descriptor); + next_segment_id = next_segment_id.saturating_add(1); + } + if catalog_segments.is_empty() { + self.toc.segment_catalog.tantivy_segments.clear(); + } else { + self.toc.segment_catalog.tantivy_segments = catalog_segments; + self.toc.segment_catalog.version = self.toc.segment_catalog.version.max(1); + } + self.toc.segment_catalog.next_segment_id = next_segment_id; + + // REMOVED: catalog_data_end() check + // This was causing orphaned Tantivy segments because it would see OLD segments + // still in the catalog from previous commits, and push footer_offset forward. + // We want Tantivy segments to overwrite at data_end, so footer_offset should + // stay at the end of the newly written segments. + + let generation = self + .lex_storage + .write() + .map_err(|_| MemvidError::Tantivy { + reason: "embedded lex storage lock poisoned".into(), + }) + .map(|mut storage| { + storage.replace(doc_count, checksum, embedded_segments.clone()); + storage.generation() + })?; + + let batch = LexWalBatch { + generation, + doc_count, + checksum, + segments: embedded_segments.clone(), + }; + self.append_lex_batch(&batch)?; + self.persist_lex_manifest()?; + self.header.toc_checksum = self.toc.toc_checksum; + crate::persist_header(&mut self.file, &self.header)?; + Ok(()) + } + + fn mark_frame_deleted(&mut self, frame_id: FrameId) -> Result<()> { + let index = usize::try_from(frame_id).map_err(|_| MemvidError::InvalidFrame { + frame_id, + reason: "frame id too large", + })?; + let frame = self + .toc + .frames + .get_mut(index) + .ok_or(MemvidError::InvalidFrame { + frame_id, + reason: "delete target missing", + })?; + frame.status = FrameStatus::Deleted; + frame.superseded_by = None; + self.remove_frame_from_indexes(frame_id) + } + + fn remove_frame_from_indexes(&mut self, frame_id: FrameId) -> Result<()> { + #[cfg(feature = "lex")] + if let Some(engine) = self.tantivy.as_mut() { + engine.delete_frame(frame_id)?; + self.tantivy_dirty = true; + } + if let Some(index) = self.lex_index.as_mut() { + index.remove_document(frame_id); + } + if let Some(index) = self.vec_index.as_mut() { + index.remove(frame_id); + } + Ok(()) + } + + pub(crate) fn frame_is_active(&self, frame_id: FrameId) -> bool { + let Ok(index) = usize::try_from(frame_id) else { + return false; + }; + self.toc + .frames + .get(index) + .is_some_and(|frame| frame.status == FrameStatus::Active) + } + + #[cfg(feature = "parallel_segments")] + fn segment_span_from_iter(&self, iter: I) -> Option + where + I: IntoIterator, + { + let mut iter = iter.into_iter(); + let first_id = iter.next()?; + let first_frame = self.toc.frames.get(first_id as usize); + let mut min_id = first_id; + let mut max_id = first_id; + let mut page_start = first_frame.and_then(|frame| frame.chunk_index).unwrap_or(0); + let mut page_end = first_frame + .and_then(|frame| frame.chunk_count) + .map(|count| page_start + count.saturating_sub(1)) + .unwrap_or(page_start); + for frame_id in iter { + if frame_id < min_id { + min_id = frame_id; + } + if frame_id > max_id { + max_id = frame_id; + } + if let Some(frame) = self.toc.frames.get(frame_id as usize) { + if let Some(idx) = frame.chunk_index { + page_start = page_start.min(idx); + if let Some(count) = frame.chunk_count { + let end = idx + count.saturating_sub(1); + page_end = page_end.max(end); + } else { + page_end = page_end.max(idx); + } + } + } + } + Some(SegmentSpan { + frame_start: min_id, + frame_end: max_id, + page_start, + page_end, + ..SegmentSpan::default() + }) + } + + #[cfg(feature = "parallel_segments")] + pub(crate) fn decorate_segment_common(common: &mut SegmentCommon, span: SegmentSpan) { + common.span = Some(span); + if common.codec_version == 0 { + common.codec_version = 1; + } + } + + #[cfg(feature = "parallel_segments")] + pub(crate) fn record_index_segment( + &mut self, + kind: SegmentKind, + common: SegmentCommon, + stats: SegmentStats, + ) -> Result<()> { + let entry = IndexSegmentRef { + kind, + common, + stats, + }; + self.toc.segment_catalog.index_segments.push(entry.clone()); + if let Some(wal) = self.manifest_wal.as_mut() { + wal.append_segments(&[entry])?; + } + Ok(()) + } + + fn ensure_mutation_allowed(&mut self) -> Result<()> { + self.ensure_writable()?; + if self.toc.ticket_ref.issuer == "free-tier" { + return Ok(()); + } + match self.tier() { + Tier::Free => Ok(()), + tier => { + if self.toc.ticket_ref.issuer.trim().is_empty() { + Err(MemvidError::TicketRequired { tier }) + } else { + Ok(()) + } + } + } + } + + pub(crate) fn tier(&self) -> Tier { + if self.header.wal_size >= WAL_SIZE_LARGE { + Tier::Enterprise + } else if self.header.wal_size >= WAL_SIZE_MEDIUM { + Tier::Dev + } else { + Tier::Free + } + } + + pub(crate) fn capacity_limit(&self) -> u64 { + if self.toc.ticket_ref.capacity_bytes != 0 { + self.toc.ticket_ref.capacity_bytes + } else { + self.tier().capacity_bytes() + } + } + + /// Get current storage capacity in bytes. + /// + /// Returns the capacity from the applied ticket, or the default + /// tier capacity (1 GB for free tier). + #[must_use] + pub fn get_capacity(&self) -> u64 { + self.capacity_limit() + } + + pub(crate) fn rewrite_toc_footer(&mut self) -> Result<()> { + tracing::info!( + vec_segments = self.toc.segment_catalog.vec_segments.len(), + lex_segments = self.toc.segment_catalog.lex_segments.len(), + time_segments = self.toc.segment_catalog.time_segments.len(), + footer_offset = self.header.footer_offset, + data_end = self.data_end, + "rewrite_toc_footer: about to serialize TOC" + ); + let toc_bytes = prepare_toc_bytes(&mut self.toc)?; + let footer_offset = self.header.footer_offset; + self.file.seek(SeekFrom::Start(footer_offset))?; + self.file.write_all(&toc_bytes)?; + let footer = CommitFooter { + toc_len: toc_bytes.len() as u64, + toc_hash: *hash(&toc_bytes).as_bytes(), + generation: self.generation, + }; + let encoded_footer = footer.encode(); + self.file.write_all(&encoded_footer)?; + + // The file must always be at least header + WAL size + let new_len = footer_offset + toc_bytes.len() as u64 + encoded_footer.len() as u64; + let min_len = self.header.wal_offset + self.header.wal_size; + let final_len = new_len.max(min_len); + + if new_len < min_len { + tracing::warn!( + file.new_len = new_len, + file.min_len = min_len, + file.final_len = final_len, + "truncation would cut into WAL region, clamping to min_len" + ); + } + + self.file.set_len(final_len)?; + // Ensure footer is flushed to disk so mmap-based readers can find it + self.file.sync_all()?; + Ok(()) + } +} + +#[cfg(feature = "parallel_segments")] +impl Memvid { + fn publish_parallel_delta(&mut self, delta: &IngestionDelta, opts: &BuildOpts) -> Result { + let chunks = self.collect_segment_chunks(delta)?; + if chunks.is_empty() { + return Ok(false); + } + let planner = SegmentPlanner::new(opts.clone()); + let plans = planner.plan_from_chunks(chunks); + if plans.is_empty() { + return Ok(false); + } + let worker_pool = SegmentWorkerPool::new(opts); + let results = worker_pool.execute(plans)?; + if results.is_empty() { + return Ok(false); + } + self.append_parallel_segments(results)?; + Ok(true) + } + + fn collect_segment_chunks(&mut self, delta: &IngestionDelta) -> Result> { + let mut embedding_map: HashMap> = + delta.inserted_embeddings.iter().cloned().collect(); + tracing::info!( + inserted_frames = ?delta.inserted_frames, + embedding_keys = ?embedding_map.keys().collect::>(), + "collect_segment_chunks: comparing frame IDs" + ); + let mut chunks = Vec::with_capacity(delta.inserted_frames.len()); + for frame_id in &delta.inserted_frames { + let frame = self.toc.frames.get(*frame_id as usize).cloned().ok_or( + MemvidError::InvalidFrame { + frame_id: *frame_id, + reason: "frame id out of range while planning segments", + }, + )?; + let text = self.frame_content(&frame)?; + if text.trim().is_empty() { + continue; + } + let token_estimate = estimate_tokens(&text); + let chunk_index = frame.chunk_index.unwrap_or(0) as usize; + let chunk_count = frame.chunk_count.unwrap_or(1) as usize; + let page_start = if frame.chunk_index.is_some() { + chunk_index + 1 + } else { + 0 + }; + let page_end = if frame.chunk_index.is_some() { + page_start + } else { + 0 + }; + chunks.push(SegmentChunkPlan { + text, + frame_id: *frame_id, + timestamp: frame.timestamp, + chunk_index, + chunk_count: chunk_count.max(1), + token_estimate, + token_start: 0, + token_end: 0, + page_start, + page_end, + embedding: embedding_map.remove(frame_id), + }); + } + Ok(chunks) + } +} + +#[cfg(feature = "parallel_segments")] +fn estimate_tokens(text: &str) -> usize { + text.split_whitespace().count().max(1) +} + +impl Memvid { + pub(crate) fn align_footer_with_catalog(&mut self) -> Result { + let catalog_end = self.catalog_data_end(); + if catalog_end <= self.header.footer_offset { + return Ok(false); + } + self.header.footer_offset = catalog_end; + self.rewrite_toc_footer()?; + self.header.toc_checksum = self.toc.toc_checksum; + crate::persist_header(&mut self.file, &self.header)?; + Ok(true) + } +} + +impl Memvid { + pub fn vacuum(&mut self) -> Result<()> { + self.commit()?; + + let mut active_payloads: HashMap> = HashMap::new(); + let frames: Vec = self + .toc + .frames + .iter() + .filter(|frame| frame.status == FrameStatus::Active) + .cloned() + .collect(); + for frame in frames { + let bytes = self.read_frame_payload_bytes(&frame)?; + active_payloads.insert(frame.id, bytes); + } + + let mut cursor = self.header.wal_offset + self.header.wal_size; + self.file.seek(SeekFrom::Start(cursor))?; + for frame in &mut self.toc.frames { + if frame.status == FrameStatus::Active { + if let Some(bytes) = active_payloads.get(&frame.id) { + self.file.write_all(bytes)?; + frame.payload_offset = cursor; + frame.payload_length = bytes.len() as u64; + cursor += bytes.len() as u64; + } else { + frame.payload_offset = 0; + frame.payload_length = 0; + } + } else { + frame.payload_offset = 0; + frame.payload_length = 0; + } + } + + self.data_end = cursor; + + self.toc.segments.clear(); + self.toc.indexes.lex_segments.clear(); + self.toc.segment_catalog.lex_segments.clear(); + self.toc.segment_catalog.vec_segments.clear(); + self.toc.segment_catalog.time_segments.clear(); + #[cfg(feature = "temporal_track")] + { + self.toc.temporal_track = None; + self.toc.segment_catalog.temporal_segments.clear(); + } + #[cfg(feature = "lex")] + { + self.toc.segment_catalog.tantivy_segments.clear(); + } + #[cfg(feature = "parallel_segments")] + { + self.toc.segment_catalog.index_segments.clear(); + } + + // Clear in-memory Tantivy state so it doesn't write old segments on next commit + #[cfg(feature = "lex")] + { + self.tantivy = None; + self.tantivy_dirty = false; + } + + self.rebuild_indexes(&[], &[])?; + self.file.sync_all()?; + Ok(()) + } + + /// Preview how a document would be chunked without actually ingesting it. + /// + /// This is useful when you need to compute embeddings for each chunk externally + /// before calling `put_with_chunk_embeddings()`. Returns `None` if the document + /// is too small to be chunked (< 2400 chars after normalization). + /// + /// # Example + /// ```ignore + /// let chunks = mem.preview_chunks(b"long document text...")?; + /// if let Some(chunk_texts) = chunks { + /// let embeddings = my_embedder.embed_chunks(&chunk_texts)?; + /// mem.put_with_chunk_embeddings(payload, None, embeddings, options)?; + /// } else { + /// let embedding = my_embedder.embed_query(text)?; + /// mem.put_with_embedding_and_options(payload, embedding, options)?; + /// } + /// ``` + #[must_use] + pub fn preview_chunks(&self, payload: &[u8]) -> Option> { + plan_document_chunks(payload).map(|plan| plan.chunks) + } + + /// Append raw bytes as a document frame. + pub fn put_bytes(&mut self, payload: &[u8]) -> Result { + self.put_internal(Some(payload), None, None, None, PutOptions::default(), None) + } + + /// Append raw bytes with explicit metadata/options. + pub fn put_bytes_with_options(&mut self, payload: &[u8], options: PutOptions) -> Result { + self.put_internal(Some(payload), None, None, None, options, None) + } + + /// Append bytes and an existing embedding (bypasses on-device embedding). + pub fn put_with_embedding(&mut self, payload: &[u8], embedding: Vec) -> Result { + self.put_internal( + Some(payload), + None, + Some(embedding), + None, + PutOptions::default(), + None, + ) + } + + pub fn put_with_embedding_and_options( + &mut self, + payload: &[u8], + embedding: Vec, + options: PutOptions, + ) -> Result { + self.put_internal(Some(payload), None, Some(embedding), None, options, None) + } + + /// Ingest a document with pre-computed embeddings for both parent and chunks. + /// + /// This is the recommended API for high-accuracy semantic search when chunking + /// occurs. The caller provides: + /// - `payload`: The document bytes + /// - `parent_embedding`: Embedding for the parent document (can be empty Vec if chunks have embeddings) + /// - `chunk_embeddings`: Pre-computed embeddings for each chunk (matched by index) + /// - `options`: Standard put options + /// + /// The number of chunk embeddings should match the number of chunks that will be + /// created by the chunking algorithm. If fewer embeddings are provided than chunks, + /// remaining chunks will have no embedding. If more are provided, extras are ignored. + pub fn put_with_chunk_embeddings( + &mut self, + payload: &[u8], + parent_embedding: Option>, + chunk_embeddings: Vec>, + options: PutOptions, + ) -> Result { + self.put_internal( + Some(payload), + None, + parent_embedding, + Some(chunk_embeddings), + options, + None, + ) + } + + /// Replace an existing frame's payload/metadata, keeping its identity and URI. + pub fn update_frame( + &mut self, + frame_id: FrameId, + payload: Option>, + mut options: PutOptions, + embedding: Option>, + ) -> Result { + self.ensure_mutation_allowed()?; + let existing = self.frame_by_id(frame_id)?; + if existing.status != FrameStatus::Active { + return Err(MemvidError::InvalidFrame { + frame_id, + reason: "frame is not active", + }); + } + + if options.timestamp.is_none() { + options.timestamp = Some(existing.timestamp); + } + if options.track.is_none() { + options.track = existing.track.clone(); + } + if options.kind.is_none() { + options.kind = existing.kind.clone(); + } + if options.uri.is_none() { + options.uri = existing.uri.clone(); + } + if options.title.is_none() { + options.title = existing.title.clone(); + } + if options.metadata.is_none() { + options.metadata = existing.metadata.clone(); + } + if options.search_text.is_none() { + options.search_text = existing.search_text.clone(); + } + if options.tags.is_empty() { + options.tags = existing.tags.clone(); + } + if options.labels.is_empty() { + options.labels = existing.labels.clone(); + } + if options.extra_metadata.is_empty() { + options.extra_metadata = existing.extra_metadata.clone(); + } + + let reuse_frame = if payload.is_none() { + options.auto_tag = false; + options.extract_dates = false; + Some(existing.clone()) + } else { + None + }; + + let effective_embedding = if let Some(explicit) = embedding { + Some(explicit) + } else if self.vec_enabled { + self.frame_embedding(frame_id)? + } else { + None + }; + + let payload_slice = payload.as_deref(); + let reuse_flag = reuse_frame.is_some(); + let replace_flag = payload_slice.is_some(); + let seq = self.put_internal( + payload_slice, + reuse_frame, + effective_embedding, + None, // No chunk embeddings for update + options, + Some(frame_id), + )?; + info!( + "frame_update frame_id={frame_id} seq={seq} reused_payload={reuse_flag} replaced_payload={replace_flag}" + ); + Ok(seq) + } + + pub fn delete_frame(&mut self, frame_id: FrameId) -> Result { + self.ensure_mutation_allowed()?; + let frame = self.frame_by_id(frame_id)?; + if frame.status != FrameStatus::Active { + return Err(MemvidError::InvalidFrame { + frame_id, + reason: "frame is not active", + }); + } + + let mut tombstone = WalEntryData { + timestamp: SystemTime::now() + .duration_since(UNIX_EPOCH) + .map(|d| d.as_secs() as i64) + .unwrap_or(frame.timestamp), + kind: None, + track: None, + payload: Vec::new(), + embedding: None, + uri: frame.uri.clone(), + title: frame.title.clone(), + canonical_encoding: frame.canonical_encoding, + canonical_length: frame.canonical_length, + metadata: None, + search_text: None, + tags: Vec::new(), + labels: Vec::new(), + extra_metadata: BTreeMap::new(), + content_dates: Vec::new(), + chunk_manifest: None, + role: frame.role, + parent_sequence: None, + chunk_index: frame.chunk_index, + chunk_count: frame.chunk_count, + op: FrameWalOp::Tombstone, + target_frame_id: Some(frame_id), + supersedes_frame_id: None, + reuse_payload_from: None, + source_sha256: None, + source_path: None, + enrichment_state: crate::types::EnrichmentState::default(), + }; + tombstone.kind = frame.kind.clone(); + tombstone.track = frame.track.clone(); + + let payload_bytes = encode_to_vec(WalEntry::Frame(tombstone), wal_config())?; + let seq = self.append_wal_entry(&payload_bytes)?; + self.dirty = true; + let suppress_checkpoint = self + .batch_opts + .as_ref() + .is_some_and(|o| o.disable_auto_checkpoint); + if !suppress_checkpoint && self.wal.should_checkpoint() { + self.commit()?; + } + info!("frame_delete frame_id={frame_id} seq={seq}"); + Ok(seq) + } +} + +impl Memvid { + fn put_internal( + &mut self, + payload: Option<&[u8]>, + reuse_frame: Option, + embedding: Option>, + chunk_embeddings: Option>>, + mut options: PutOptions, + supersedes: Option, + ) -> Result { + self.ensure_mutation_allowed()?; + + // Deduplication: if enabled and we have payload, check if identical content exists + if options.dedup { + if let Some(bytes) = payload { + let content_hash = hash(bytes); + if let Some(existing_frame) = self.find_frame_by_hash(content_hash.as_bytes()) { + // Found existing frame with same content hash, skip ingestion + tracing::debug!( + frame_id = existing_frame.id, + "dedup: skipping ingestion, identical content already exists" + ); + // Return existing frame's sequence number (which equals frame_id for committed frames) + return Ok(existing_frame.id); + } + } + } + + if payload.is_some() && reuse_frame.is_some() { + let frame_id = reuse_frame + .as_ref() + .map(|frame| frame.id) + .unwrap_or_default(); + return Err(MemvidError::InvalidFrame { + frame_id, + reason: "cannot reuse payload when bytes are provided", + }); + } + + // If the caller supplies embeddings, enforce a single vector dimension contract + // for the entire memory (fail fast, never silently accept mixed dimensions). + let incoming_dimension = { + let mut dim: Option = None; + + if let Some(ref vector) = embedding { + if !vector.is_empty() { + #[allow(clippy::cast_possible_truncation)] + let len = vector.len() as u32; + dim = Some(len); + } + } + + if let Some(ref vectors) = chunk_embeddings { + for vector in vectors { + if vector.is_empty() { + continue; + } + let vec_dim = u32::try_from(vector.len()).unwrap_or(0); + match dim { + None => dim = Some(vec_dim), + Some(existing) if existing == vec_dim => {} + Some(existing) => { + return Err(MemvidError::VecDimensionMismatch { + expected: existing, + actual: vector.len(), + }); + } + } + } + } + + dim + }; + + if let Some(incoming_dimension) = incoming_dimension { + // Embeddings imply vector search should be enabled. + if !self.vec_enabled { + self.enable_vec()?; + } + + if let Some(existing_dimension) = self.effective_vec_index_dimension()? { + if existing_dimension != incoming_dimension { + return Err(MemvidError::VecDimensionMismatch { + expected: existing_dimension, + actual: incoming_dimension as usize, + }); + } + } + + // Persist the dimension early for better auto-detection (even before the next commit). + if let Some(manifest) = self.toc.indexes.vec.as_mut() { + if manifest.dimension == 0 { + manifest.dimension = incoming_dimension; + } + } + } + + let mut prepared_payload: Option<(Vec, CanonicalEncoding, Option)> = None; + let payload_tail = self.payload_region_end(); + let projected = if let Some(bytes) = payload { + let (prepared, encoding, length) = if let Some(ref opts) = self.batch_opts { + prepare_canonical_payload_with_level(bytes, opts.compression_level)? + } else { + prepare_canonical_payload(bytes)? + }; + let len = prepared.len(); + prepared_payload = Some((prepared, encoding, length)); + payload_tail.saturating_add(len as u64) + } else if reuse_frame.is_some() { + payload_tail + } else { + return Err(MemvidError::InvalidFrame { + frame_id: 0, + reason: "payload required for frame insertion", + }); + }; + + let capacity_limit = self.capacity_limit(); + if projected > capacity_limit { + let incoming_size = projected.saturating_sub(payload_tail); + return Err(MemvidError::CapacityExceeded { + current: payload_tail, + limit: capacity_limit, + required: incoming_size, + }); + } + let timestamp = options.timestamp.take().unwrap_or_else(|| { + SystemTime::now() + .duration_since(UNIX_EPOCH) + .map(|d| d.as_secs() as i64) + .unwrap_or(0) + }); + + #[allow(unused_assignments)] + let mut reuse_bytes: Option> = None; + let payload_for_processing = if let Some(bytes) = payload { + Some(bytes) + } else if let Some(frame) = reuse_frame.as_ref() { + let bytes = self.frame_canonical_bytes(frame)?; + reuse_bytes = Some(bytes); + reuse_bytes.as_deref() + } else { + None + }; + + // Try to create a chunk plan from raw UTF-8 bytes first + let raw_chunk_plan = match (payload, reuse_frame.as_ref()) { + (Some(bytes), None) => plan_document_chunks(bytes), + _ => None, + }; + + // For UTF-8 text chunks, we don't store the parent payload (chunks contain the text) + // For binary documents (PDF, etc.), we store the original payload and create text chunks separately + // For --no-raw mode, we store only the extracted text and a hash of the original binary + let mut source_sha256: Option<[u8; 32]> = None; + let source_path_value = options.source_path.take(); + + let (storage_payload, canonical_encoding, canonical_length, reuse_payload_from) = + if raw_chunk_plan.is_some() { + // UTF-8 text document - chunks contain the text, no parent payload needed + (Vec::new(), CanonicalEncoding::Plain, Some(0), None) + } else if options.no_raw { + // --no-raw mode: don't store the raw binary, only compute hash + if let Some(bytes) = payload { + // Compute BLAKE3 hash of original binary for verification + let hash_result = hash(bytes); + source_sha256 = Some(*hash_result.as_bytes()); + // Store empty payload - the extracted text is in search_text + (Vec::new(), CanonicalEncoding::Plain, Some(0), None) + } else { + return Err(MemvidError::InvalidFrame { + frame_id: 0, + reason: "payload required for --no-raw mode", + }); + } + } else if let Some((prepared, encoding, length)) = prepared_payload.take() { + (prepared, encoding, length, None) + } else if let Some(bytes) = payload { + let (prepared, encoding, length) = if let Some(ref opts) = self.batch_opts { + prepare_canonical_payload_with_level(bytes, opts.compression_level)? + } else { + prepare_canonical_payload(bytes)? + }; + (prepared, encoding, length, None) + } else if let Some(frame) = reuse_frame.as_ref() { + ( + Vec::new(), + frame.canonical_encoding, + frame.canonical_length, + Some(frame.id), + ) + } else { + return Err(MemvidError::InvalidFrame { + frame_id: 0, + reason: "payload required for frame insertion", + }); + }; + + // Track whether we'll create an extracted text chunk plan later + let mut chunk_plan = raw_chunk_plan; + + let mut metadata = options.metadata.take(); + let mut search_text = options + .search_text + .take() + .and_then(|text| normalize_text(&text, DEFAULT_SEARCH_TEXT_LIMIT).map(|n| n.text)); + let mut tags = std::mem::take(&mut options.tags); + let mut labels = std::mem::take(&mut options.labels); + let mut extra_metadata = std::mem::take(&mut options.extra_metadata); + let mut content_dates: Vec = Vec::new(); + + let need_search_text = search_text + .as_ref() + .is_none_or(|text| text.trim().is_empty()); + let need_metadata = metadata.is_none(); + let run_extractor = need_search_text || need_metadata || options.auto_tag; + + let mut extraction_error = None; + let mut is_skim_extraction = false; // Track if extraction was time-limited + + let extracted = if run_extractor { + if let Some(bytes) = payload_for_processing { + let mime_hint = metadata.as_ref().and_then(|m| m.mime.as_deref()); + let uri_hint = options.uri.as_deref(); + + // Use time-budgeted extraction for instant indexing with a budget + let use_budgeted = options.instant_index && options.extraction_budget_ms > 0; + + if use_budgeted { + // Time-budgeted extraction for sub-second ingestion + let budget = crate::extract_budgeted::ExtractionBudget::with_ms( + options.extraction_budget_ms, + ); + match crate::extract_budgeted::extract_with_budget( + bytes, mime_hint, uri_hint, budget, + ) { + Ok(result) => { + is_skim_extraction = result.is_skim(); + if is_skim_extraction { + tracing::debug!( + coverage = result.coverage, + elapsed_ms = result.elapsed_ms, + sections = %format!("{}/{}", result.sections_extracted, result.sections_total), + "time-budgeted extraction (skim)" + ); + } + // Convert BudgetedExtractionResult to ExtractedDocument + let doc = crate::extract::ExtractedDocument { + text: if result.text.is_empty() { + None + } else { + Some(result.text) + }, + metadata: serde_json::json!({ + "skim": is_skim_extraction, + "coverage": result.coverage, + "sections_extracted": result.sections_extracted, + "sections_total": result.sections_total, + }), + mime_type: mime_hint.map(std::string::ToString::to_string), + }; + Some(doc) + } + Err(err) => { + // Fall back to full extraction on budgeted extraction error + tracing::warn!( + ?err, + "budgeted extraction failed, trying full extraction" + ); + match extract_via_registry(bytes, mime_hint, uri_hint) { + Ok(doc) => Some(doc), + Err(err) => { + extraction_error = Some(err); + None + } + } + } + } + } else { + // Full extraction (no time budget) + match extract_via_registry(bytes, mime_hint, uri_hint) { + Ok(doc) => Some(doc), + Err(err) => { + extraction_error = Some(err); + None + } + } + } + } else { + None + } + } else { + None + }; + + if let Some(err) = extraction_error { + return Err(err); + } + + if let Some(doc) = &extracted { + if need_search_text { + if let Some(text) = &doc.text { + if let Some(normalized) = + normalize_text(text, DEFAULT_SEARCH_TEXT_LIMIT).map(|n| n.text) + { + search_text = Some(normalized); + } + } + } + + // If we don't have a chunk plan from raw bytes (e.g., PDF), try to create one + // from extracted text. This ensures large documents like PDFs get fully indexed. + if chunk_plan.is_none() { + if let Some(text) = &doc.text { + chunk_plan = plan_text_chunks(text); + } + } + + if let Some(mime) = doc.mime_type.as_ref() { + if let Some(existing) = &mut metadata { + if existing.mime.is_none() { + existing.mime = Some(mime.clone()); + } + } else { + let mut doc_meta = DocMetadata::default(); + doc_meta.mime = Some(mime.clone()); + metadata = Some(doc_meta); + } + } + + // Only add extractous_metadata when auto_tag is enabled + // This allows callers to disable metadata pollution by setting auto_tag=false + if options.auto_tag { + if let Some(meta_json) = (!doc.metadata.is_null()).then(|| doc.metadata.to_string()) + { + extra_metadata + .entry("extractous_metadata".to_string()) + .or_insert(meta_json); + } + } + } + + if options.auto_tag { + if let Some(ref text) = search_text { + if !text.trim().is_empty() { + let result = AutoTagger.analyse(text, options.extract_dates); + merge_unique(&mut tags, result.tags); + merge_unique(&mut labels, result.labels); + if options.extract_dates && content_dates.is_empty() { + content_dates = result.content_dates; + } + } + } + } + + if content_dates.is_empty() { + if let Some(frame) = reuse_frame.as_ref() { + content_dates = frame.content_dates.clone(); + } + } + + let metadata_ref = metadata.as_ref(); + let mut search_text = augment_search_text( + search_text, + options.uri.as_deref(), + options.title.as_deref(), + options.track.as_deref(), + &tags, + &labels, + &extra_metadata, + &content_dates, + metadata_ref, + ); + let mut chunk_entries: Vec = Vec::new(); + let mut parent_chunk_manifest: Option = None; + let mut parent_chunk_count: Option = None; + + let kind_value = options.kind.take(); + let track_value = options.track.take(); + let uri_value = options.uri.take(); + let title_value = options.title.take(); + let should_extract_triplets = options.extract_triplets; + // Save references for triplet extraction (after search_text is moved into WAL entry) + let triplet_uri = uri_value.clone(); + let triplet_title = title_value.clone(); + + if let Some(plan) = chunk_plan.as_ref() { + let chunk_total = u32::try_from(plan.chunks.len()).unwrap_or(0); + parent_chunk_manifest = Some(plan.manifest.clone()); + parent_chunk_count = Some(chunk_total); + + if let Some(first_chunk) = plan.chunks.first() { + if let Some(normalized) = + normalize_text(first_chunk, DEFAULT_SEARCH_TEXT_LIMIT).map(|n| n.text) + { + if !normalized.trim().is_empty() { + search_text = Some(normalized); + } + } + } + + let chunk_tags = tags.clone(); + let chunk_labels = labels.clone(); + let chunk_metadata = metadata.clone(); + let chunk_extra_metadata = extra_metadata.clone(); + let chunk_content_dates = content_dates.clone(); + + for (idx, chunk_text) in plan.chunks.iter().enumerate() { + let (chunk_payload, chunk_encoding, chunk_length) = + prepare_canonical_payload(chunk_text.as_bytes())?; + let chunk_search_text = normalize_text(chunk_text, DEFAULT_SEARCH_TEXT_LIMIT) + .map(|n| n.text) + .filter(|text| !text.trim().is_empty()); + + let chunk_uri = uri_value + .as_ref() + .map(|uri| format!("{uri}#page-{}", idx + 1)); + let chunk_title = title_value + .as_ref() + .map(|title| format!("{title} (page {}/{})", idx + 1, chunk_total)); + + // Use provided chunk embedding if available, otherwise None + let chunk_embedding = chunk_embeddings + .as_ref() + .and_then(|embeddings| embeddings.get(idx).cloned()); + + chunk_entries.push(WalEntryData { + timestamp, + kind: kind_value.clone(), + track: track_value.clone(), + payload: chunk_payload, + embedding: chunk_embedding, + uri: chunk_uri, + title: chunk_title, + canonical_encoding: chunk_encoding, + canonical_length: chunk_length, + metadata: chunk_metadata.clone(), + search_text: chunk_search_text, + tags: chunk_tags.clone(), + labels: chunk_labels.clone(), + extra_metadata: chunk_extra_metadata.clone(), + content_dates: chunk_content_dates.clone(), + chunk_manifest: None, + role: FrameRole::DocumentChunk, + parent_sequence: None, + chunk_index: Some(u32::try_from(idx).unwrap_or(0)), + chunk_count: Some(chunk_total), + op: FrameWalOp::Insert, + target_frame_id: None, + supersedes_frame_id: None, + reuse_payload_from: None, + source_sha256: None, // Chunks don't have source references + source_path: None, + // Chunks are already extracted, so mark as Enriched + enrichment_state: crate::types::EnrichmentState::Enriched, + }); + } + } + + let parent_uri = uri_value.clone(); + let parent_title = title_value.clone(); + + // Get parent_sequence from options.parent_id if provided + // We need the WAL sequence of the parent frame to link them + let parent_sequence = if let Some(parent_id) = options.parent_id { + // Look up the parent frame to get its WAL sequence + // Since frame.id corresponds to the array index, we need to find the sequence + // For now, we'll use the frame_id + WAL_START_SEQUENCE as an approximation + // This works because sequence numbers are assigned incrementally + usize::try_from(parent_id) + .ok() + .and_then(|idx| self.toc.frames.get(idx)) + .map(|_| parent_id + 2) // WAL sequences start at 2 + } else { + None + }; + + // Clone search_text for triplet extraction (before it's moved into WAL entry) + let triplet_text = search_text.clone(); + + // Capture values needed for instant indexing BEFORE they're moved into entry + #[cfg(feature = "lex")] + let instant_index_tags = if options.instant_index { + tags.clone() + } else { + Vec::new() + }; + #[cfg(feature = "lex")] + let instant_index_labels = if options.instant_index { + labels.clone() + } else { + Vec::new() + }; + + // Determine enrichment state: Searchable if needs background work, Enriched if complete + #[cfg(feature = "lex")] + let needs_enrichment = + options.instant_index && (options.enable_embedding || is_skim_extraction); + #[cfg(feature = "lex")] + let enrichment_state = if needs_enrichment { + crate::types::EnrichmentState::Searchable + } else { + crate::types::EnrichmentState::Enriched + }; + #[cfg(not(feature = "lex"))] + let enrichment_state = crate::types::EnrichmentState::Enriched; + + let entry = WalEntryData { + timestamp, + kind: kind_value, + track: track_value, + payload: storage_payload, + embedding, + uri: parent_uri, + title: parent_title, + canonical_encoding, + canonical_length, + metadata, + search_text, + tags, + labels, + extra_metadata, + content_dates, + chunk_manifest: parent_chunk_manifest, + role: options.role, + parent_sequence, + chunk_index: None, + chunk_count: parent_chunk_count, + op: FrameWalOp::Insert, + target_frame_id: None, + supersedes_frame_id: supersedes, + reuse_payload_from, + source_sha256, + source_path: source_path_value, + enrichment_state, + }; + + let parent_bytes = encode_to_vec(WalEntry::Frame(entry), wal_config())?; + let parent_seq = self.append_wal_entry(&parent_bytes)?; + self.pending_frame_inserts = self.pending_frame_inserts.saturating_add(1); + + // Instant indexing: make frame searchable immediately (<1s) without full commit + // This is Phase 1 of progressive ingestion - frame is searchable but not fully enriched + #[cfg(feature = "lex")] + if options.instant_index && self.tantivy.is_some() { + // Create a minimal frame for indexing + let frame_id = parent_seq as FrameId; + + // Use triplet_text which was cloned before entry was created + if let Some(ref text) = triplet_text { + if !text.trim().is_empty() { + // Create temporary frame for indexing (minimal fields for Tantivy) + let temp_frame = Frame { + id: frame_id, + timestamp, + anchor_ts: None, + anchor_source: None, + kind: options.kind.clone(), + track: options.track.clone(), + payload_offset: 0, + payload_length: 0, + checksum: [0u8; 32], + uri: options + .uri + .clone() + .or_else(|| Some(crate::default_uri(frame_id))), + title: options.title.clone(), + canonical_encoding: crate::types::CanonicalEncoding::default(), + canonical_length: None, + metadata: None, // Not needed for text search + search_text: triplet_text.clone(), + tags: instant_index_tags.clone(), + labels: instant_index_labels.clone(), + extra_metadata: std::collections::BTreeMap::new(), // Not needed for search + content_dates: Vec::new(), // Not needed for search + chunk_manifest: None, + role: options.role, + parent_id: None, + chunk_index: None, + chunk_count: None, + status: FrameStatus::Active, + supersedes, + superseded_by: None, + source_sha256: None, // Not needed for search + source_path: None, // Not needed for search + enrichment_state: crate::types::EnrichmentState::Searchable, + }; + + // Get mutable reference to engine and index the frame + if let Some(engine) = self.tantivy.as_mut() { + engine.add_frame(&temp_frame, text)?; + engine.soft_commit()?; + self.tantivy_dirty = true; + + tracing::debug!( + frame_id = frame_id, + "instant index: frame searchable immediately" + ); + } + } + } + } + + // Queue frame for background enrichment when using instant index path + // Enrichment includes: embedding generation, full text re-extraction if time-limited + // Note: enrichment_state is already set in the WAL entry, so it will be correct after replay + #[cfg(feature = "lex")] + if needs_enrichment { + let frame_id = parent_seq as FrameId; + self.toc.enrichment_queue.push(frame_id); + tracing::debug!( + frame_id = frame_id, + is_skim = is_skim_extraction, + needs_embedding = options.enable_embedding, + "queued frame for background enrichment" + ); + } + + for mut chunk_entry in chunk_entries { + chunk_entry.parent_sequence = Some(parent_seq); + let chunk_bytes = encode_to_vec(WalEntry::Frame(chunk_entry), wal_config())?; + self.append_wal_entry(&chunk_bytes)?; + self.pending_frame_inserts = self.pending_frame_inserts.saturating_add(1); + } + + self.dirty = true; + let suppress_checkpoint = self + .batch_opts + .as_ref() + .is_some_and(|o| o.disable_auto_checkpoint); + if !suppress_checkpoint && self.wal.should_checkpoint() { + self.commit()?; + } + + // Record the put action if a replay session is active + #[cfg(feature = "replay")] + if let Some(input_bytes) = payload { + self.record_put_action(parent_seq, input_bytes); + } + + // Extract triplets if enabled (default: true) + // Triplets are stored as MemoryCards with entity/slot/value structure + if should_extract_triplets { + if let Some(ref text) = triplet_text { + if !text.trim().is_empty() { + let extractor = TripletExtractor::default(); + let frame_id = parent_seq as FrameId; + let (cards, _stats) = extractor.extract( + frame_id, + text, + triplet_uri.as_deref(), + triplet_title.as_deref(), + timestamp, + ); + + if !cards.is_empty() { + // Add cards to memories track + let card_ids = self.memories_track.add_cards(cards); + + // Record enrichment for incremental processing + self.memories_track + .record_enrichment(frame_id, "rules", "1.0.0", card_ids); + } + } + } + } + + Ok(parent_seq) + } +} + +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)] +#[serde(rename_all = "snake_case")] +pub(crate) enum FrameWalOp { + Insert, + Tombstone, +} + +impl Default for FrameWalOp { + fn default() -> Self { + Self::Insert + } +} + +#[derive(Debug, Serialize, Deserialize)] +enum WalEntry { + Frame(WalEntryData), + #[cfg(feature = "lex")] + Lex(LexWalBatch), +} + +fn decode_wal_entry(bytes: &[u8]) -> Result { + if let Ok((entry, _)) = decode_from_slice::(bytes, wal_config()) { + return Ok(entry); + } + let (legacy, _) = decode_from_slice::(bytes, wal_config())?; + Ok(WalEntry::Frame(legacy)) +} + +#[derive(Debug, Serialize, Deserialize)] +pub(crate) struct WalEntryData { + pub(crate) timestamp: i64, + pub(crate) kind: Option, + pub(crate) track: Option, + pub(crate) payload: Vec, + pub(crate) embedding: Option>, + #[serde(default)] + pub(crate) uri: Option, + #[serde(default)] + pub(crate) title: Option, + #[serde(default)] + pub(crate) canonical_encoding: CanonicalEncoding, + #[serde(default)] + pub(crate) canonical_length: Option, + #[serde(default)] + pub(crate) metadata: Option, + #[serde(default)] + pub(crate) search_text: Option, + #[serde(default)] + pub(crate) tags: Vec, + #[serde(default)] + pub(crate) labels: Vec, + #[serde(default)] + pub(crate) extra_metadata: BTreeMap, + #[serde(default)] + pub(crate) content_dates: Vec, + #[serde(default)] + pub(crate) chunk_manifest: Option, + #[serde(default)] + pub(crate) role: FrameRole, + #[serde(default)] + pub(crate) parent_sequence: Option, + #[serde(default)] + pub(crate) chunk_index: Option, + #[serde(default)] + pub(crate) chunk_count: Option, + #[serde(default)] + pub(crate) op: FrameWalOp, + #[serde(default)] + pub(crate) target_frame_id: Option, + #[serde(default)] + pub(crate) supersedes_frame_id: Option, + #[serde(default)] + pub(crate) reuse_payload_from: Option, + /// SHA-256 hash of original source file (set when --no-raw is used). + #[serde(default)] + pub(crate) source_sha256: Option<[u8; 32]>, + /// Original source file path (set when --no-raw is used). + #[serde(default)] + pub(crate) source_path: Option, + /// Enrichment state for progressive ingestion. + #[serde(default)] + pub(crate) enrichment_state: crate::types::EnrichmentState, +} + +pub(crate) fn prepare_canonical_payload( + payload: &[u8], +) -> Result<(Vec, CanonicalEncoding, Option)> { + prepare_canonical_payload_with_level(payload, 3) +} + +pub(crate) fn prepare_canonical_payload_with_level( + payload: &[u8], + level: i32, +) -> Result<(Vec, CanonicalEncoding, Option)> { + if level == 0 { + // No compression — store as plain text + return Ok(( + payload.to_vec(), + CanonicalEncoding::Plain, + Some(payload.len() as u64), + )); + } + if std::str::from_utf8(payload).is_ok() { + let compressed = zstd::encode_all(std::io::Cursor::new(payload), level)?; + Ok(( + compressed, + CanonicalEncoding::Zstd, + Some(payload.len() as u64), + )) + } else { + Ok(( + payload.to_vec(), + CanonicalEncoding::Plain, + Some(payload.len() as u64), + )) + } +} + +pub(crate) fn augment_search_text( + base: Option, + uri: Option<&str>, + title: Option<&str>, + track: Option<&str>, + tags: &[String], + labels: &[String], + extra_metadata: &BTreeMap, + content_dates: &[String], + metadata: Option<&DocMetadata>, +) -> Option { + let mut segments: Vec = Vec::new(); + if let Some(text) = base { + let trimmed = text.trim(); + if !trimmed.is_empty() { + segments.push(trimmed.to_string()); + } + } + + if let Some(title) = title { + if !title.trim().is_empty() { + segments.push(format!("title: {}", title.trim())); + } + } + + if let Some(uri) = uri { + if !uri.trim().is_empty() { + segments.push(format!("uri: {}", uri.trim())); + } + } + + if let Some(track) = track { + if !track.trim().is_empty() { + segments.push(format!("track: {}", track.trim())); + } + } + + if !tags.is_empty() { + segments.push(format!("tags: {}", tags.join(" "))); + } + + if !labels.is_empty() { + segments.push(format!("labels: {}", labels.join(" "))); + } + + if !extra_metadata.is_empty() { + for (key, value) in extra_metadata { + if value.trim().is_empty() { + continue; + } + segments.push(format!("{key}: {value}")); + } + } + + if !content_dates.is_empty() { + segments.push(format!("dates: {}", content_dates.join(" "))); + } + + if let Some(meta) = metadata { + if let Ok(meta_json) = serde_json::to_string(meta) { + segments.push(format!("metadata: {meta_json}")); + } + } + + if segments.is_empty() { + None + } else { + Some(segments.join("\n")) + } +} + +pub(crate) fn merge_unique(target: &mut Vec, additions: Vec) { + if additions.is_empty() { + return; + } + let mut seen: BTreeSet = target.iter().cloned().collect(); + for value in additions { + let trimmed = value.trim(); + if trimmed.is_empty() { + continue; + } + let candidate = trimmed.to_string(); + if seen.insert(candidate.clone()) { + target.push(candidate); + } + } +} diff --git a/src/memvid/planner.rs b/src/memvid/planner.rs new file mode 100644 index 0000000..a89c5cb --- /dev/null +++ b/src/memvid/planner.rs @@ -0,0 +1,141 @@ +#![cfg(feature = "parallel_segments")] + +use super::builder::BuildOpts; +use crate::types::FrameId; + +/// High-level planner responsible for turning extracted documents into `SegmentPlan`s. +pub struct SegmentPlanner { + opts: BuildOpts, +} + +impl SegmentPlanner { + pub fn new(opts: BuildOpts) -> Self { + Self { opts } + } + + /// Groups frame-backed chunks into segment-sized plans based on configured limits. + pub fn plan_from_chunks(&self, mut chunks: Vec) -> Vec { + let mut plans = Vec::new(); + if chunks.is_empty() { + return plans; + } + + chunks.sort_by_key(|chunk| (chunk.frame_id, chunk.chunk_index)); + + let mut current_chunks = Vec::new(); + let mut acc_tokens = 0usize; + let mut acc_pages = 0usize; + let mut running_tokens = 0usize; + + for mut chunk in chunks.into_iter() { + let chunk_tokens = chunk.token_estimate.max(1); + let chunk_pages = chunk.page_span().max(1); + chunk.token_start = running_tokens; + chunk.token_end = running_tokens + chunk_tokens; + running_tokens += chunk_tokens; + + if !current_chunks.is_empty() + && (acc_tokens + chunk_tokens > self.opts.segment_tokens + || acc_pages + chunk_pages > self.opts.segment_pages) + { + let last_token_end = current_chunks + .last() + .map(|c: &SegmentChunkPlan| c.token_end) + .unwrap_or(0); + plans.push(SegmentPlan::new( + std::mem::take(&mut current_chunks), + acc_tokens, + acc_pages, + last_token_end, + )); + acc_tokens = 0; + acc_pages = 0; + } + + acc_tokens += chunk_tokens; + acc_pages += chunk_pages; + current_chunks.push(chunk); + } + + if !current_chunks.is_empty() { + let last_token_end = current_chunks + .last() + .map(|c: &SegmentChunkPlan| c.token_end) + .unwrap_or(running_tokens); + plans.push(SegmentPlan::new( + current_chunks, + acc_tokens, + acc_pages, + last_token_end, + )); + } + plans + } +} + +/// Describes the work required to build a segment (lex/vec/time bundles). +#[derive(Debug, Clone)] +pub struct SegmentPlan { + pub estimated_tokens: usize, + pub estimated_pages: usize, + pub token_start: usize, + pub token_end: usize, + pub chunk_count: usize, + pub chunks: Vec, +} + +impl SegmentPlan { + fn new( + chunks: Vec, + estimated_tokens: usize, + estimated_pages: usize, + token_end: usize, + ) -> Self { + let chunk_count = chunks.len(); + let token_start = chunks.first().map(|c| c.token_start).unwrap_or(0); + Self { + estimated_tokens, + estimated_pages, + token_start, + token_end, + chunk_count, + chunks, + } + } +} + +/// Individual chunk of text slated for indexing. +#[derive(Debug, Clone)] +pub struct SegmentChunkPlan { + pub text: String, + pub frame_id: FrameId, + pub timestamp: i64, + pub chunk_index: usize, + pub chunk_count: usize, + pub token_estimate: usize, + pub token_start: usize, + pub token_end: usize, + pub page_start: usize, + pub page_end: usize, + pub embedding: Option>, +} + +impl SegmentChunkPlan { + pub fn page_span(&self) -> usize { + if self.page_end >= self.page_start { + self.page_end - self.page_start + 1 + } else { + 1 + } + } +} + +/// Planner-produced work messages consumed by workers. +#[derive(Debug)] +pub enum PlannerMessage { + Plan { + plan_index: usize, + plan: SegmentPlan, + }, + Shutdown, +} diff --git a/src/memvid/replay_ops.rs b/src/memvid/replay_ops.rs new file mode 100644 index 0000000..6ed02b2 --- /dev/null +++ b/src/memvid/replay_ops.rs @@ -0,0 +1,484 @@ +//! Replay session operations for Memvid. +//! +//! This module provides session management for time-travel replay functionality, +//! enabling recording and replaying of agent sessions. + +use crate::error::Result; +use crate::memvid::lifecycle::Memvid; +use crate::replay::{ + ActionType, ActiveSession, ReplayAction, ReplayConfig, ReplayManifest, ReplaySession, + SessionSummary, StateSnapshot, +}; +use uuid::Uuid; + +impl Memvid { + /// Start recording a new replay session. + /// + /// Returns the session ID for the newly created session. + /// Only one session can be active at a time. + /// + /// # Arguments + /// * `name` - Optional human-readable name for the session + /// * `config` - Configuration for the recording session + #[cfg(feature = "replay")] + pub fn start_session( + &mut self, + name: Option, + config: Option, + ) -> Result { + if self.active_session.is_some() { + return Err(crate::MemvidError::InvalidQuery { + reason: "A session is already active. End it before starting a new one.".into(), + }); + } + + let cfg = config.unwrap_or_default(); + let session = ActiveSession::new(name, cfg); + let session_id = session.session_id(); + + self.active_session = Some(session); + + tracing::info!("Started replay session: {}", session_id); + Ok(session_id) + } + + /// End the current recording session. + /// + /// Returns the completed session with all recorded actions. + #[cfg(feature = "replay")] + pub fn end_session(&mut self) -> Result { + let session = + self.active_session + .take() + .ok_or_else(|| crate::MemvidError::InvalidQuery { + reason: "No active session to end".into(), + })?; + + let completed = session.end(); + let session_id = completed.session_id; + + // Store the session in memory for later persistence + self.completed_sessions.push(completed.clone()); + + tracing::info!("Ended replay session: {}", session_id); + Ok(completed) + } + + /// Get the ID of the currently active session, if any. + #[cfg(feature = "replay")] + pub fn active_session_id(&self) -> Option { + self.active_session.as_ref().map(|s| s.session_id()) + } + + /// Check if a recording session is currently active. + #[cfg(feature = "replay")] + pub fn is_recording(&self) -> bool { + self.active_session.is_some() + } + + /// Create a checkpoint in the current session. + /// + /// Checkpoints capture the complete state at a point in time, + /// enabling replay to start from that point rather than the beginning. + #[cfg(feature = "replay")] + pub fn create_checkpoint(&mut self) -> Result { + let session = + self.active_session + .as_mut() + .ok_or_else(|| crate::MemvidError::InvalidQuery { + reason: "No active session for checkpoint".into(), + })?; + + // Create a state snapshot + let snapshot = StateSnapshot { + frame_count: self.toc.frames.len(), + frame_ids: self.toc.frames.iter().map(|f| f.id).collect(), + lex_index_hash: self.toc.indexes.lex.as_ref().map(|m| m.checksum), + vec_index_hash: self.toc.indexes.vec.as_ref().map(|m| m.checksum), + wal_sequence: self.header.wal_sequence, + generation: self.generation, + }; + + let checkpoint = session.create_checkpoint(snapshot); + let checkpoint_id = checkpoint.id; + + // Record the checkpoint action + session.record_action(ReplayAction::new( + session.session.next_sequence(), + ActionType::Checkpoint { + checkpoint_id: checkpoint.id, + }, + )); + + tracing::debug!("Created checkpoint {} in session", checkpoint_id); + Ok(checkpoint_id) + } + + /// Record a Put action in the current session. + #[cfg(feature = "replay")] + pub fn record_put_action(&mut self, frame_id: u64, input: &[u8]) { + if let Some(session) = self.active_session.as_mut() { + let action = ReplayAction::new( + session.session.next_sequence(), + ActionType::Put { frame_id }, + ) + .with_input(input) + .with_affected_frames(vec![frame_id]); + + session.record_action(action); + + // Check if auto-checkpoint is due + if session.should_checkpoint() { + let _ = self.create_checkpoint(); + } + } + } + + /// Record a Find action in the current session. + #[cfg(feature = "replay")] + pub fn record_find_action( + &mut self, + query: &str, + mode: &str, + result_count: usize, + result_frames: Vec, + ) { + if let Some(session) = self.active_session.as_mut() { + let action = ReplayAction::new( + session.session.next_sequence(), + ActionType::Find { + query: query.to_string(), + mode: mode.to_string(), + result_count, + }, + ) + .with_input(query.as_bytes()) + .with_affected_frames(result_frames); + + session.record_action(action); + } + } + + /// Record an Ask action in the current session. + /// + /// # Arguments + /// * `query` - The question asked + /// * `provider` - The LLM provider (e.g., "openai", "anthropic") + /// * `model` - The model name (e.g., "gpt-4", "claude-3") + /// * `response` - The raw response bytes + /// * `duration_ms` - How long the request took + /// * `retrieved_frames` - Frame IDs that were retrieved as context + #[cfg(feature = "replay")] + pub fn record_ask_action( + &mut self, + query: &str, + provider: &str, + model: &str, + response: &[u8], + duration_ms: u64, + retrieved_frames: Vec, + ) { + if let Some(session) = self.active_session.as_mut() { + let action = ReplayAction::new( + session.session.next_sequence(), + ActionType::Ask { + query: query.to_string(), + provider: provider.to_string(), + model: model.to_string(), + }, + ) + .with_input(query.as_bytes()) + .with_output(response) + .with_duration_ms(duration_ms) + .with_affected_frames(retrieved_frames); + + session.record_action(action); + } + } + + /// List all completed sessions (in memory). + #[cfg(feature = "replay")] + pub fn list_sessions(&self) -> Vec { + self.completed_sessions + .iter() + .map(SessionSummary::from) + .collect() + } + + /// Get a completed session by ID. + #[cfg(feature = "replay")] + pub fn get_session(&self, session_id: Uuid) -> Option<&ReplaySession> { + self.completed_sessions + .iter() + .find(|s| s.session_id == session_id) + } + + /// Delete a completed session by ID. + #[cfg(feature = "replay")] + pub fn delete_session(&mut self, session_id: Uuid) -> Result<()> { + let pos = self + .completed_sessions + .iter() + .position(|s| s.session_id == session_id) + .ok_or_else(|| crate::MemvidError::InvalidQuery { + reason: format!("Session {} not found", session_id).into(), + })?; + + self.completed_sessions.remove(pos); + tracing::info!("Deleted session {}", session_id); + Ok(()) + } + + /// Save all sessions to the replay segment. + /// + /// This persists all completed sessions to the .mv2 file. + #[cfg(feature = "replay")] + pub fn save_replay_sessions(&mut self) -> Result<()> { + use crate::replay::storage; + use std::io::{Seek, SeekFrom, Write}; + + if self.completed_sessions.is_empty() { + // Clear the replay manifest when all sessions are deleted + if self.toc.replay_manifest.is_some() { + self.toc.replay_manifest = None; + self.dirty = true; + tracing::info!("Cleared replay manifest (no sessions remaining)"); + } + return Ok(()); + } + + // Build the replay segment + let segment_data = storage::build_segment(&self.completed_sessions)?; + let segment_size = segment_data.len() as u64; + + // Debug: show first 32 bytes being written + let preview_len = segment_data.len().min(32); + let hex_preview: Vec = segment_data[..preview_len] + .iter() + .map(|b| format!("{:02x}", b)) + .collect(); + tracing::debug!( + "Writing segment with first {} bytes: {}", + preview_len, + hex_preview.join(" ") + ); + tracing::debug!( + "Segment magic should be: {:?}", + String::from_utf8_lossy(&segment_data[..8.min(segment_data.len())]) + ); + + // IMPORTANT: The replay segment must never be written at `data_end`. + // + // `data_end` can intentionally lag behind embedded index bytes (e.g. Tantivy segments) + // so that the next commit can overwrite them. Writing replay at `data_end` can therefore + // overwrite indexes and (worse) move `footer_offset` backwards, corrupting the TOC. + // + // Instead, append replay at the current footer boundary, which is always after any + // embedded index / metadata bytes for the current generation. + let segment_offset = self.header.footer_offset.max(self.data_end); + tracing::debug!( + "Writing replay segment: offset={}, size={}, footer_offset={}, data_end={}", + segment_offset, + segment_size, + self.header.footer_offset, + self.data_end + ); + self.file.seek(SeekFrom::Start(segment_offset))?; + self.file.write_all(&segment_data)?; + self.file.sync_all()?; // Ensure data is flushed to disk + + // Update the replay manifest in TOC + self.toc.replay_manifest = Some(ReplayManifest { + segment_offset, + segment_size, + session_count: self.completed_sessions.len() as u32, + total_actions: self + .completed_sessions + .iter() + .map(|s| s.actions.len() as u64) + .sum(), + version: crate::replay::REPLAY_SEGMENT_VERSION, + }); + + // Advance footer_offset so the next TOC write lands after the replay segment. + // Never move footer_offset backwards. + let new_end = segment_offset + segment_size; + self.data_end = self.data_end.max(new_end); + self.header.footer_offset = self.header.footer_offset.max(new_end); + self.dirty = true; + + tracing::info!( + "Saved {} replay sessions ({} bytes) at offset {}", + self.completed_sessions.len(), + segment_size, + segment_offset + ); + Ok(()) + } + + /// Load replay sessions from the file. + #[cfg(feature = "replay")] + pub fn load_replay_sessions(&mut self) -> Result<()> { + use crate::replay::storage; + use std::io::{Read, Seek, SeekFrom}; + + let manifest = match &self.toc.replay_manifest { + Some(m) if m.session_count > 0 => { + tracing::debug!( + "Found replay manifest: session_count={}, segment_offset={}, segment_size={}", + m.session_count, + m.segment_offset, + m.segment_size + ); + m.clone() + } + Some(_) => { + tracing::debug!("Replay manifest has 0 sessions, skipping load"); + return Ok(()); + } + _ => { + tracing::debug!("No replay manifest in TOC, skipping load"); + return Ok(()); + } + }; + + // Read the segment data + tracing::debug!("Allocating buffer of {} bytes", manifest.segment_size); + let mut buf = vec![0u8; manifest.segment_size as usize]; + + tracing::debug!("Seeking to offset {}", manifest.segment_offset); + self.file + .seek(SeekFrom::Start(manifest.segment_offset)) + .map_err(|e| { + tracing::error!( + "Failed to seek to replay segment at offset {}: {}", + manifest.segment_offset, + e + ); + e + })?; + + tracing::debug!("Reading {} bytes from file", manifest.segment_size); + self.file.read_exact(&mut buf).map_err(|e| { + tracing::error!( + "Failed to read replay segment ({} bytes): {}", + manifest.segment_size, + e + ); + e + })?; + + // Debug: show first 32 bytes as hex + let preview_len = buf.len().min(32); + let hex_preview: Vec = buf[..preview_len] + .iter() + .map(|b| format!("{:02x}", b)) + .collect(); + tracing::debug!( + "First {} bytes of segment: {}", + preview_len, + hex_preview.join(" ") + ); + + // Show expected magic vs actual + let expected_magic = b"MV2RPLY!"; + let actual_magic = &buf[..8.min(buf.len())]; + tracing::debug!( + "Expected magic: {:?}, Actual magic: {:?} (as string: {:?})", + expected_magic, + actual_magic, + String::from_utf8_lossy(actual_magic) + ); + + // Parse sessions + tracing::debug!("Parsing replay segment data"); + self.completed_sessions = storage::read_segment(&buf).map_err(|e| { + tracing::error!("Failed to parse replay segment: {}", e); + e + })?; + + tracing::info!( + "Loaded {} replay sessions from file", + self.completed_sessions.len() + ); + Ok(()) + } + + /// Get the path to the active session sidecar file. + #[cfg(feature = "replay")] + fn active_session_path(&self) -> std::path::PathBuf { + let mut path = self.path.clone(); + let mut filename = path.file_name().unwrap_or_default().to_os_string(); + filename.push(".session"); + path.set_file_name(filename); + path + } + + /// Save the active session to a sidecar file. + /// This allows the session to persist across CLI invocations. + #[cfg(feature = "replay")] + pub fn save_active_session(&self) -> Result<()> { + use crate::replay::storage; + use std::io::Write; + + let session = match &self.active_session { + Some(s) => s, + None => { + // No active session, remove sidecar file if it exists + let path = self.active_session_path(); + if path.exists() { + let _ = std::fs::remove_file(&path); + } + return Ok(()); + } + }; + + let data = storage::serialize_active_session(session)?; + let path = self.active_session_path(); + let mut file = std::fs::File::create(&path)?; + file.write_all(&data)?; + file.sync_all()?; + + tracing::debug!("Saved active session to {:?}", path); + Ok(()) + } + + /// Load the active session from a sidecar file. + #[cfg(feature = "replay")] + pub fn load_active_session(&mut self) -> Result { + use crate::replay::storage; + + let path = self.active_session_path(); + if !path.exists() { + return Ok(false); + } + + let data = std::fs::read(&path)?; + match storage::deserialize_active_session(&data) { + Ok(session) => { + tracing::info!( + "Loaded active session {} from {:?}", + session.session_id(), + path + ); + self.active_session = Some(session); + Ok(true) + } + Err(e) => { + tracing::warn!("Failed to load active session: {}, removing stale file", e); + let _ = std::fs::remove_file(&path); + Ok(false) + } + } + } + + /// Clear the active session sidecar file. + #[cfg(feature = "replay")] + pub fn clear_active_session_file(&self) -> Result<()> { + let path = self.active_session_path(); + if path.exists() { + std::fs::remove_file(&path)?; + } + Ok(()) + } +} diff --git a/src/memvid/search/api.rs b/src/memvid/search/api.rs new file mode 100644 index 0000000..c597dc8 --- /dev/null +++ b/src/memvid/search/api.rs @@ -0,0 +1,1107 @@ +#[cfg(feature = "lex")] +use crate::search::{EmbeddedLexSegment, TantivyEngine}; +#[cfg(feature = "lex")] +use std::fs::{self, File}; +#[cfg(feature = "lex")] +use std::io::{Read, Seek, SeekFrom, Write}; +#[cfg(feature = "lex")] +use tempfile::TempDir; + +use crate::memvid::lifecycle::Memvid; +use crate::types::{ + AclContext, AclEnforcementMode, AdaptiveConfig, AdaptiveResult, AdaptiveStats, + EmbeddingQualityStats, Frame, FrameId, FrameStatus, SearchHit, TimelineEntry, TimelineQuery, + VecSegmentDescriptor, compute_embedding_quality, find_adaptive_cutoff, +}; +use crate::{LexSearchHit, MemvidError, Result, VecSearchHit}; + +impl Memvid { + pub fn enable_lex(&mut self) -> Result<()> { + self.ensure_writable()?; + if self.lex_enabled { + #[cfg(feature = "lex")] + { + // If index exists on disk but not in memory, load it + if self.lex_index.is_none() && crate::memvid::lifecycle::has_lex_index(&self.toc) { + self.load_lex_index_from_manifest()?; + } + // Ensure Tantivy engine is running even if lex was already enabled + // (e.g. create() set lex_enabled=true but tantivy may have been lost) + if self.tantivy.is_none() { + self.init_tantivy()?; + } + } + return Ok(()); + } + self.lex_enabled = true; + self.toc.segment_catalog.lex_enabled = true; + self.dirty = true; + #[cfg(feature = "lex")] + self.init_tantivy()?; + + // Create empty lex manifest so the flag persists across open/close + if self.toc.indexes.lex.is_none() { + // Use data_end as offset for empty manifest to avoid conflicts with header + let empty_offset = self.data_end; + // SHA256 hash of empty data + let empty_checksum = *b"\xe3\xb0\xc4\x42\x98\xfc\x1c\x14\x9a\xfb\xf4\xc8\x99\x6f\xb9\x24\ + \x27\xae\x41\xe4\x64\x9b\x93\x4c\xa4\x95\x99\x1b\x78\x52\xb8\x55"; + self.toc.indexes.lex = Some(crate::types::LexIndexManifest { + doc_count: 0, + generation: 0, + bytes_offset: empty_offset, + bytes_length: 0, + checksum: empty_checksum, + }); + } + + self.commit() + } + + pub fn search_lex(&mut self, query: &str, limit: usize) -> Result> { + if !self.lex_enabled { + return Err(MemvidError::LexNotEnabled); + } + self.ensure_lex_index()?; + let index = self.lex_index.as_ref().ok_or(MemvidError::LexNotEnabled)?; + Ok(index.search(query, limit)) + } + + /// Human-friendly alias for [`Self::search_lex`]. + pub fn find(&mut self, query: &str, limit: usize) -> Result> { + self.search_lex(query, limit) + } + + pub fn enable_vec(&mut self) -> Result<()> { + self.ensure_writable()?; + + // Always set vec_enabled to true when explicitly requested, + // regardless of compile-time feature flags + self.vec_enabled = true; + self.dirty = true; + + // Create empty vec manifest so the flag persists across open/close + if self.toc.indexes.vec.is_none() { + // Use data_end as offset for empty manifest to avoid conflicts with header + let empty_offset = self.data_end; + // SHA256 hash of empty data + let empty_checksum = *b"\xe3\xb0\xc4\x42\x98\xfc\x1c\x14\x9a\xfb\xf4\xc8\x99\x6f\xb9\x24\ + \x27\xae\x41\xe4\x64\x9b\x93\x4c\xa4\x95\x99\x1b\x78\x52\xb8\x55"; + self.toc.indexes.vec = Some(crate::types::VecIndexManifest { + vector_count: 0, + dimension: 0, + bytes_offset: empty_offset, + bytes_length: 0, + checksum: empty_checksum, + compression_mode: self.vec_compression.clone(), + model: self.vec_model.clone(), + }); + } + + // No need to commit here - the manifest will be written during next commit/seal + Ok(()) + } + + /// Set the expected embedding model for the vector index. + /// + /// If the index is already bound to a model (from a previous session or call), + /// this validates that the requested model matches the existing one. + /// If unbound, it binds the index to the new model. + pub fn set_vec_model(&mut self, model: &str) -> Result<()> { + if let Some(existing) = &self.vec_model { + if existing != model { + return Err(MemvidError::ModelMismatch { + expected: existing.clone(), + actual: model.to_string(), + }); + } + } else { + self.vec_model = Some(model.to_string()); + // If manifest exists, update it to persist the binding + if let Some(manifest) = self.toc.indexes.vec.as_mut() { + manifest.model = Some(model.to_string()); + self.dirty = true; + } + } + Ok(()) + } + + pub fn search_vec(&mut self, query: &[f32], limit: usize) -> Result> { + if !self.vec_enabled { + return Err(MemvidError::VecNotEnabled); + } + let mut ensured_vec_index = false; + let expected_dim = if let Some(dim) = self.effective_vec_index_dimension()? { + dim + } else { + self.ensure_vec_index()?; + ensured_vec_index = true; + self.vec_index + .as_ref() + .and_then(|index| { + index + .entries() + .next() + .map(|(_, emb)| u32::try_from(emb.len()).unwrap_or(0)) + }) + .unwrap_or(0) + }; + // Safe: embedding dimensions are small (< few thousands) + #[allow(clippy::cast_possible_truncation)] + if expected_dim > 0 && (query.len() as u32) != expected_dim { + return Err(MemvidError::VecDimensionMismatch { + expected: expected_dim, + actual: query.len(), + }); + } + + if !ensured_vec_index { + self.ensure_vec_index()?; + } + let index = self.vec_index.as_ref().ok_or(MemvidError::VecNotEnabled)?; + Ok(index.search(query, limit)) + } + + /// Enable CLIP visual embeddings index. + /// + /// CLIP allows semantic search across images using natural language queries. + /// Unlike text vec embeddings (384/768/1536 dims), CLIP embeddings have + /// fixed 512 dimensions (MobileCLIP-S2) and are stored in a separate index. + pub fn enable_clip(&mut self) -> Result<()> { + self.ensure_writable()?; + + self.clip_enabled = true; + self.dirty = true; + + // Create empty clip manifest so the flag persists across open/close + if self.toc.indexes.clip.is_none() { + let empty_offset = self.data_end; + let empty_checksum = *b"\xe3\xb0\xc4\x42\x98\xfc\x1c\x14\x9a\xfb\xf4\xc8\x99\x6f\xb9\x24\ + \x27\xae\x41\xe4\x64\x9b\x93\x4c\xa4\x95\x99\x1b\x78\x52\xb8\x55"; + self.toc.indexes.clip = Some(crate::clip::ClipIndexManifest { + bytes_offset: empty_offset, + bytes_length: 0, + vector_count: 0, + dimension: crate::clip::MOBILECLIP_DIMS, + checksum: empty_checksum, + model_name: "mobileclip-s2".to_string(), + }); + } + + Ok(()) + } + + /// Add a CLIP embedding for a frame (legacy, no page info). + /// + /// This adds the visual embedding to the CLIP index for later semantic search. + /// The frame must already exist. Use `ClipModel::encode_image()` to generate embeddings. + pub fn add_clip_embedding(&mut self, frame_id: u64, embedding: Vec) -> Result<()> { + self.add_clip_embedding_with_page(frame_id, None, embedding) + } + + /// Add a CLIP embedding for a frame and optional page number. + /// + /// Page is 1-indexed when provided (PDF pages). + pub fn add_clip_embedding_with_page( + &mut self, + frame_id: u64, + page: Option, + embedding: Vec, + ) -> Result<()> { + self.ensure_writable()?; + if !self.clip_enabled { + return Err(MemvidError::ClipNotEnabled); + } + + // Initialize clip index if needed + if self.clip_index.is_none() { + self.clip_index = Some(crate::clip::ClipIndex::new()); + } + + // Add the document to the index + if let Some(ref mut index) = self.clip_index { + index.add_document(frame_id, page, embedding); + } + + self.dirty = true; + Ok(()) + } + + /// Search CLIP index with a pre-computed query embedding. + /// + /// Use `ClipModel::encode_text(query)` to generate the query embedding. + pub fn search_clip( + &mut self, + query: &[f32], + limit: usize, + ) -> Result> { + tracing::debug!( + "search_clip: clip_enabled={} query_len={} limit={}", + self.clip_enabled, + query.len(), + limit + ); + if !self.clip_enabled { + tracing::debug!("search_clip: CLIP not enabled, returning error"); + return Err(MemvidError::ClipNotEnabled); + } + self.ensure_clip_index()?; + let index = self + .clip_index + .as_ref() + .ok_or(MemvidError::ClipNotEnabled)?; + tracing::debug!("search_clip: clip_index has {} documents", index.len()); + let hits = index.search(query, limit); + tracing::debug!("search_clip: returning {} hits", hits.len()); + Ok(hits) + } + + /// Check if CLIP index is loaded, loading it if needed + pub(crate) fn ensure_clip_index(&mut self) -> Result<()> { + if self.clip_index.is_none() && self.toc.indexes.clip.is_some() { + self.load_clip_index_from_manifest()?; + } + Ok(()) + } + + /// Perform pure vector search using a pre-computed query embedding. + /// This searches the entire vector index directly, like Chroma does. + pub fn vec_search_with_embedding( + &mut self, + query: &str, + query_embedding: &[f32], + top_k: usize, + snippet_chars: usize, + scope: Option<&str>, + ) -> Result { + self.vec_search_with_embedding_acl( + query, + query_embedding, + top_k, + snippet_chars, + scope, + None, + AclEnforcementMode::Audit, + ) + } + + /// Perform pure vector search using a pre-computed query embedding with ACL filtering. + pub fn vec_search_with_embedding_acl( + &mut self, + query: &str, + query_embedding: &[f32], + top_k: usize, + snippet_chars: usize, + scope: Option<&str>, + acl_context: Option<&AclContext>, + acl_enforcement_mode: AclEnforcementMode, + ) -> Result { + use super::helpers::{build_context, timestamp_to_rfc3339}; + use crate::types::{ + SearchEngineKind, SearchHit, SearchHitMetadata, SearchParams, SearchResponse, + }; + use std::time::Instant; + + if !self.vec_enabled { + return Err(MemvidError::VecNotEnabled); + } + + // Validate embedding dimension BEFORE searching to prevent silent wrong results. + // For segment-only memories, dimension may only be discoverable after loading segments. + let mut ensured_vec_index = false; + let expected_dim = if let Some(dim) = self.effective_vec_index_dimension()? { + dim + } else { + self.ensure_vec_index()?; + ensured_vec_index = true; + self.vec_index + .as_ref() + .and_then(|index| { + index + .entries() + .next() + .map(|(_, emb)| u32::try_from(emb.len()).unwrap_or(0)) + }) + .unwrap_or(0) + }; + // Safe: embedding dimensions are small + #[allow(clippy::cast_possible_truncation)] + if expected_dim > 0 && (query_embedding.len() as u32) != expected_dim { + return Err(MemvidError::VecDimensionMismatch { + expected: expected_dim, + actual: query_embedding.len(), + }); + } + + let start_time = Instant::now(); + + // Ensure vector index is loaded + if !ensured_vec_index { + self.ensure_vec_index()?; + } + + let vec_index = self.vec_index.as_ref().ok_or(MemvidError::VecNotEnabled)?; + + // Do pure vector search over entire index + let vec_hits = vec_index.search(query_embedding, top_k * 2); + + if vec_hits.is_empty() { + let elapsed_ms = start_time.elapsed().as_millis(); + return Ok(SearchResponse { + query: query.to_string(), + elapsed_ms, + total_hits: 0, + params: SearchParams { + top_k, + snippet_chars, + cursor: None, + }, + hits: Vec::new(), + context: build_context(&[]), + next_cursor: None, + engine: SearchEngineKind::Hybrid, + stale_index_skips: 0, + }); + } + + // Convert VecSearchHit to SearchHit with full metadata + let mut hits = Vec::new(); + let snippet_limit = snippet_chars.max(80); + + for vec_hit in vec_hits { + // Apply scope filter if provided + // Apply scope filter if provided + let frame_idx = if let Ok(idx) = usize::try_from(vec_hit.frame_id) { + idx + } else { + continue; + }; + + let frame = match self.toc.frames.get(frame_idx) { + Some(f) => f.clone(), + None => continue, + }; + + if let Some(scope_prefix) = scope { + let default_uri = crate::default_uri(frame.id); + let uri = frame.uri.as_ref().unwrap_or(&default_uri); + if !uri.starts_with(scope_prefix) { + continue; + } + } + + // Get frame content for snippet + let content = match self.frame_content(&frame) { + Ok(c) => c, + Err(_) => continue, + }; + + let snippet: String = content.chars().take(snippet_limit).collect(); + let snippet_bytes = snippet.len(); + + let uri = frame + .uri + .clone() + .unwrap_or_else(|| crate::default_uri(frame.id)); + let title = frame + .title + .clone() + .or_else(|| crate::infer_title_from_uri(&uri)); + + // VecIndex returns distance (lower is better), convert back to similarity (higher is better) + // distance = 1.0 - similarity, so similarity = 1.0 - distance + let similarity_score = 1.0 - vec_hit.distance; + + let metadata = SearchHitMetadata { + matches: 1, + tags: frame.tags.clone(), + labels: frame.labels.clone(), + track: frame.track.clone(), + created_at: timestamp_to_rfc3339(frame.timestamp), + content_dates: frame.content_dates.clone(), + entities: Vec::new(), + extra_metadata: frame.extra_metadata.clone(), + #[cfg(feature = "temporal_track")] + temporal: None, + }; + + hits.push(SearchHit { + rank: hits.len() + 1, + frame_id: vec_hit.frame_id, + uri, + title, + range: (0, snippet_bytes), + text: snippet.clone(), + matches: 1, + chunk_range: Some((0, snippet_bytes)), + chunk_text: Some(snippet), + score: Some(similarity_score), + metadata: Some(metadata), + }); + + if hits.len() >= top_k { + break; + } + } + + let elapsed_ms = start_time.elapsed().as_millis(); + + #[cfg(feature = "temporal_track")] + super::helpers::attach_temporal_metadata(self, &mut hits)?; + + self.apply_acl_to_search_hits(&mut hits, acl_context, acl_enforcement_mode)?; + let context = build_context(&hits); + + Ok(SearchResponse { + query: query.to_string(), + elapsed_ms, + total_hits: hits.len(), + params: SearchParams { + top_k, + snippet_chars, + cursor: None, + }, + hits, + context, + next_cursor: None, + engine: SearchEngineKind::Hybrid, + stale_index_skips: 0, + }) + } + + /// Perform adaptive vector search that dynamically determines how many results to return. + /// + /// Unlike fixed `top_k` retrieval, adaptive search examines relevancy score distribution + /// to include all relevant results while excluding noise. This is crucial when: + /// - Answers span multiple chunks (missing relevant context) + /// - Score distribution varies by query (some queries have many relevant matches) + /// + /// # Arguments + /// * `query` - The search query string + /// * `query_embedding` - Pre-computed embedding vector for the query + /// * `config` - Adaptive retrieval configuration + /// * `snippet_chars` - Maximum characters for result snippets + /// * `scope` - Optional URI prefix filter + /// + /// # Example + /// ```ignore + /// let config = AdaptiveConfig::with_relative_threshold(0.6); + /// let result = memvid.search_adaptive("query", &embedding, config, 200, None)?; + /// println!("Returned {} of {} results", result.stats.returned, result.stats.total_considered); + /// ``` + pub fn search_adaptive( + &mut self, + query: &str, + query_embedding: &[f32], + config: AdaptiveConfig, + snippet_chars: usize, + scope: Option<&str>, + ) -> Result> { + self.search_adaptive_acl( + query, + query_embedding, + config, + snippet_chars, + scope, + None, + AclEnforcementMode::Audit, + ) + } + + /// Perform adaptive vector search with ACL filtering. + pub fn search_adaptive_acl( + &mut self, + query: &str, + query_embedding: &[f32], + config: AdaptiveConfig, + snippet_chars: usize, + scope: Option<&str>, + acl_context: Option<&AclContext>, + acl_enforcement_mode: AclEnforcementMode, + ) -> Result> { + use std::time::Instant; + + if !config.enabled { + // Fall back to standard search with max_results as top_k + let response = self.vec_search_with_embedding_acl( + query, + query_embedding, + config.max_results, + snippet_chars, + scope, + acl_context, + acl_enforcement_mode, + )?; + return Ok(AdaptiveResult { + results: response.hits, + stats: AdaptiveStats { + total_considered: response.total_hits, + returned: response.total_hits, + cutoff_index: response.total_hits, + cutoff_score: None, + top_score: None, + cutoff_ratio: None, + triggered_by: "adaptive_disabled".to_string(), + }, + }); + } + + let start_time = Instant::now(); + + // Over-retrieve: get max_results to have enough candidates + let response = self.vec_search_with_embedding_acl( + query, + query_embedding, + config.max_results, + snippet_chars, + scope, + acl_context, + acl_enforcement_mode, + )?; + + if response.hits.is_empty() { + return Ok(AdaptiveResult::empty()); + } + + // Extract scores for cutoff analysis + let scores: Vec = response.hits.iter().filter_map(|hit| hit.score).collect(); + + if scores.is_empty() { + // No scores available, return all results + return Ok(AdaptiveResult { + results: response.hits, + stats: AdaptiveStats { + total_considered: response.total_hits, + returned: response.total_hits, + cutoff_index: response.total_hits, + cutoff_score: None, + top_score: None, + cutoff_ratio: None, + triggered_by: "no_scores".to_string(), + }, + }); + } + + // Find adaptive cutoff + let (cutoff_index, triggered_by) = find_adaptive_cutoff(&scores, &config); + + // Apply cutoff + let mut results: Vec = response.hits.into_iter().take(cutoff_index).collect(); + + // Update ranks after cutoff + for (i, hit) in results.iter_mut().enumerate() { + hit.rank = i + 1; + } + + let top_score = scores.first().copied(); + let cutoff_score = if cutoff_index > 0 && cutoff_index <= scores.len() { + Some(scores[cutoff_index.saturating_sub(1)]) + } else { + None + }; + let cutoff_ratio = match (top_score, cutoff_score) { + (Some(top), Some(cut)) if top > f32::EPSILON => Some(cut / top), + _ => None, + }; + + let elapsed = start_time.elapsed(); + tracing::debug!( + "adaptive search: {} -> {} results in {:?} ({})", + scores.len(), + results.len(), + elapsed, + triggered_by + ); + + Ok(AdaptiveResult { + results, + stats: AdaptiveStats { + total_considered: scores.len(), + returned: cutoff_index, + cutoff_index, + cutoff_score, + top_score, + cutoff_ratio, + triggered_by, + }, + }) + } + + /// Compute embedding quality statistics for the vector index. + /// + /// This analyzes the distribution of embeddings to provide insights about: + /// - How similar/diverse the embeddings are + /// - Recommended adaptive retrieval thresholds + /// - Overall embedding quality rating + /// + /// Returns `None` if vector index is not enabled or empty. + pub fn embedding_quality(&mut self) -> Result> { + if !self.vec_enabled { + return Ok(None); + } + + self.ensure_vec_index()?; + + let vec_index = match &self.vec_index { + Some(index) => index, + None => return Ok(None), + }; + + // Collect embeddings from the index + let embeddings: Vec<(u64, Vec)> = vec_index + .entries() + .map(|(frame_id, embedding)| (frame_id, embedding.to_vec())) + .collect(); + + if embeddings.is_empty() { + return Ok(None); + } + + Ok(Some(compute_embedding_quality(&embeddings))) + } + + /// Get frame IDs filtered by Replay parameters (`as_of_frame` or `as_of_ts`). + /// Used for time-travel memory views. + pub(crate) fn get_replay_frame_ids( + &self, + request: &crate::types::SearchRequest, + ) -> Result> { + let frames = &self.toc.frames; + let mut matching_ids: Vec = Vec::new(); + + for frame in frames { + if frame.status != FrameStatus::Active { + continue; + } + + // Check as_of_frame filter + if let Some(cutoff_frame) = request.as_of_frame { + if frame.id > cutoff_frame { + continue; + } + } + + // Check as_of_ts filter + if let Some(cutoff_ts) = request.as_of_ts { + if frame.timestamp > cutoff_ts { + continue; + } + } + + matching_ids.push(frame.id); + } + + Ok(matching_ids) + } + + pub fn timeline(&mut self, query: TimelineQuery) -> Result> { + let TimelineQuery { + limit, + since, + until, + reverse, + #[cfg(feature = "temporal_track")] + temporal, + } = query; + + #[cfg(feature = "temporal_track")] + { + crate::memvid::timeline::build_timeline( + self, + limit, + since, + until, + reverse, + temporal.as_ref(), + ) + } + #[cfg(not(feature = "temporal_track"))] + { + crate::memvid::timeline::build_timeline(self, limit, since, until, reverse) + } + } +} + +#[cfg(feature = "lex")] +impl Memvid { + #[allow(dead_code)] + fn materialize_tantivy_segments(&mut self, segments: &[EmbeddedLexSegment]) -> Result { + let dir = TempDir::new().map_err(|err| MemvidError::Tantivy { + reason: format!("failed to allocate Tantivy work directory: {err}"), + })?; + if segments.is_empty() { + return Ok(dir); + } + + let mut file_len = + self.file + .metadata() + .map(|meta| meta.len()) + .map_err(|err| MemvidError::Tantivy { + reason: format!("failed to inspect memvid file metadata: {err}"), + })?; + let mut data_limit = self.header.footer_offset; + let mut buffer = vec![0u8; 64 * 1024]; + let cursor = self.file.stream_position()?; + for segment in segments { + let dest = dir.path().join(&segment.path); + if let Some(parent) = dest.parent() { + fs::create_dir_all(parent).map_err(|err| MemvidError::Tantivy { + reason: format!( + "failed to prepare Tantivy directory {}: {}", + parent.display(), + err + ), + })?; + } + let mut writer = File::create(&dest).map_err(|err| MemvidError::Tantivy { + reason: format!( + "failed to materialize Tantivy segment {}: {}", + dest.display(), + err + ), + })?; + if segment.bytes_length == 0 { + continue; + } + let end = segment + .bytes_offset + .checked_add(segment.bytes_length) + .ok_or_else(|| MemvidError::Tantivy { + reason: format!( + "embedded segment {} length overflow (offset {}, length {})", + segment.path, segment.bytes_offset, segment.bytes_length + ), + })?; + if end > file_len || end > data_limit { + if self.align_footer_with_catalog()? { + file_len = self.file.metadata().map(|meta| meta.len()).map_err(|err| { + MemvidError::Tantivy { + reason: format!("failed to refresh memvid file metadata: {err}"), + } + })?; + data_limit = self.header.footer_offset; + } + if end > file_len || end > data_limit { + return Err(MemvidError::Tantivy { + reason: format!( + "embedded segment {} out of bounds (offset {} length {} data_limit {} file_len {})", + segment.path, + segment.bytes_offset, + segment.bytes_length, + data_limit, + file_len + ), + }); + } + } + self.file.seek(SeekFrom::Start(segment.bytes_offset))?; + let mut remaining = segment.bytes_length; + while remaining > 0 { + // Safe: chunk is at most buffer.len() which is usize + #[allow(clippy::cast_possible_truncation)] + let chunk = remaining.min(buffer.len() as u64) as usize; + if let Err(err) = self.file.read_exact(&mut buffer[..chunk]) { + return Err(MemvidError::Tantivy { + reason: format!( + "failed to read embedded segment {} (offset {}, remaining {}, chunk {}): {}", + segment.path, segment.bytes_offset, remaining, chunk, err + ), + }); + } + writer.write_all(&buffer[..chunk])?; + remaining -= chunk as u64; + } + } + self.file.seek(SeekFrom::Start(cursor))?; + Ok(dir) + } + + pub(crate) fn init_tantivy(&mut self) -> Result<()> { + if !self.lex_enabled { + self.tantivy = None; + self.tantivy_dirty = false; + return Ok(()); + } + + let segments = if self.toc.segment_catalog.tantivy_segments.is_empty() { + match self.lex_storage.read() { + Ok(storage) => { + if storage.is_empty() { + None + } else { + Some(storage.segments().cloned().collect::>()) + } + } + Err(_) => None, + } + } else { + Some( + self.toc + .segment_catalog + .tantivy_segments + .iter() + .map(|descriptor| EmbeddedLexSegment { + path: descriptor.path.clone(), + bytes_offset: descriptor.common.bytes_offset, + bytes_length: descriptor.common.bytes_length, + checksum: descriptor.common.checksum, + }) + .collect::>(), + ) + }; + + let mut engine = match segments { + Some(segments) => { + match self + .materialize_tantivy_segments(&segments) + .and_then(TantivyEngine::open_from_dir) + { + Ok(engine) => engine, + Err(err) => { + tracing::debug!( + "failed to open embedded Tantivy index: {}, rebuilding", + err + ); + TantivyEngine::create()? + } + } + } + None => TantivyEngine::create()?, + }; + + // Use consolidated helper for expected doc count + let expected_docs = self + .lex_storage + .read() + .ok() + .and_then(|storage| crate::memvid::lifecycle::lex_doc_count(&self.toc, &storage)); + + let mut rebuilt = false; + let actual_docs = engine.num_docs(); + + let has_tantivy_segments = !self.toc.segment_catalog.tantivy_segments.is_empty(); + let needs_rebuild = if has_tantivy_segments { + // Trust existing Tantivy segments, don't rebuild + false + } else { + expected_docs != Some(actual_docs) + }; + + if needs_rebuild { + if let Some(expected) = expected_docs { + if actual_docs != 0 || expected != 0 { + tracing::debug!( + "rebuilding Tantivy index: expected {} docs, found {}", + expected, + actual_docs + ); + } + } + rebuilt = self.rebuild_tantivy_engine(&mut engine)?; + } + + self.tantivy_dirty = rebuilt; + self.tantivy = Some(engine); + + // This handles files created before the segment-based lex_enabled check was added + self.lex_enabled = true; + + Ok(()) + } + + #[must_use] + pub fn vec_segment_descriptor(&self, segment_id: u64) -> Option { + self.toc + .segment_catalog + .vec_segments + .iter() + .find(|descriptor| descriptor.common.segment_id == segment_id) + .cloned() + } + + pub fn read_vec_segment( + &mut self, + segment_id: u64, + ) -> Result)>> { + let Some(descriptor) = self.vec_segment_descriptor(segment_id) else { + return Ok(None); + }; + let bytes = self.read_range( + descriptor.common.bytes_offset, + descriptor.common.bytes_length, + )?; + Ok(Some((descriptor, bytes))) + } +} + +/// Default maximum payload size for text indexing (256 MiB) +/// Can be overridden via `MEMVID_MAX_INDEX_PAYLOAD` environment variable +pub const DEFAULT_MAX_INDEX_PAYLOAD: u64 = 256 * 1024 * 1024; + +/// Get the maximum indexable payload size from environment or use default +#[must_use] +pub fn max_index_payload() -> u64 { + std::env::var("MEMVID_MAX_INDEX_PAYLOAD") + .ok() + .and_then(|s| s.parse().ok()) + .unwrap_or(DEFAULT_MAX_INDEX_PAYLOAD) +} + +/// Check if a MIME type represents text-based content that should be indexed +#[must_use] +pub fn is_text_indexable_mime(mime: &str) -> bool { + let mime_lower = mime.to_lowercase(); + + // Text types + if mime_lower.starts_with("text/") { + return true; + } + + // Application types that contain text + let text_application_types = [ + "application/json", + "application/xml", + "application/xhtml+xml", + "application/javascript", + "application/typescript", + "application/x-javascript", + "application/ecmascript", + "application/pdf", + "application/rtf", + "application/x-yaml", + "application/yaml", + "application/toml", + "application/x-sh", + "application/x-python", + "application/sql", + "application/graphql", + ]; + + if text_application_types.iter().any(|&t| mime_lower == t) { + return true; + } + + // Document types (Office, etc.) + if mime_lower.contains("document") + || mime_lower.contains("spreadsheet") + || mime_lower.contains("presentation") + || mime_lower.contains("wordprocessing") + || mime_lower.contains("opendocument") + { + return true; + } + + // Common text file extensions in MIME + if mime_lower.contains("+xml") || mime_lower.contains("+json") { + return true; + } + + false +} + +/// Check if a frame should be indexed for text search +#[must_use] +pub fn is_frame_text_indexable(frame: &crate::types::Frame) -> bool { + // Must be active + if frame.status != crate::types::FrameStatus::Active { + return false; + } + + // Get MIME type from metadata + let mime = frame + .metadata + .as_ref() + .and_then(|m| m.mime.as_deref()) + .unwrap_or("application/octet-stream"); + + // Skip binary content types entirely (videos, images, audio) + if !is_text_indexable_mime(mime) { + return false; + } + + // Check payload size limit for text content + let max_payload = max_index_payload(); + if frame.payload_length > max_payload { + return false; + } + + // Must have non-empty search text + frame + .search_text + .as_ref() + .is_some_and(|t| !t.trim().is_empty()) +} + +#[cfg(feature = "lex")] +impl Memvid { + pub(crate) fn rebuild_tantivy_engine(&mut self, engine: &mut TantivyEngine) -> Result { + let mut prepared_docs: Vec<(Frame, String)> = Vec::new(); + let frames = self.toc.frames.clone(); + let active_frames: Vec<_> = frames + .into_iter() + .filter(|frame| frame.status == FrameStatus::Active) + .collect(); + + let max_payload = max_index_payload(); + + for frame in active_frames { + // Check if frame has explicit search_text first - if so, use it directly + // This handles frames created via put_bytes() or other APIs that set search_text + // but don't have text-indexable MIME types + if let Some(search_text) = frame.search_text.clone() { + if !search_text.trim().is_empty() { + prepared_docs.push((frame, search_text)); + continue; + } + } + + // Get MIME type from metadata + let mime = frame + .metadata + .as_ref() + .and_then(|m| m.mime.as_deref()) + .unwrap_or("application/octet-stream"); + + // Skip binary content types (videos, images, audio, etc.) + if !is_text_indexable_mime(mime) { + tracing::debug!( + "skipping frame {} - binary content type: {} (not text-indexable)", + frame.id, + mime + ); + continue; + } + + // Check payload size limit for text content + if frame.payload_length > max_payload { + tracing::debug!( + "skipping frame {} - payload {} exceeds max indexable size {} (MEMVID_MAX_INDEX_PAYLOAD)", + frame.id, + frame.payload_length, + max_payload + ); + continue; + } + + let text = self.frame_search_text(&frame)?; + if text.trim().is_empty() { + continue; + } + prepared_docs.push((frame, text)); + } + + if prepared_docs.is_empty() { + engine.reset()?; + engine.commit()?; + return Ok(true); + } + + engine.reset()?; + for (frame, text) in &prepared_docs { + engine.add_frame(frame, text)?; + } + engine.commit()?; + Ok(true) + } +} diff --git a/src/memvid/search/builders.rs b/src/memvid/search/builders.rs new file mode 100644 index 0000000..60755cc --- /dev/null +++ b/src/memvid/search/builders.rs @@ -0,0 +1,306 @@ +use std::collections::HashMap; +use std::io::{Read, Seek, SeekFrom}; +use std::panic::{AssertUnwindSafe, catch_unwind}; + +use crate::lex::{LexIndex, LexIndexArtifact, LexIndexBuilder}; +use crate::memvid::lifecycle::Memvid; +use crate::types::{Frame, FrameId, FrameStatus, VectorCompression}; +use crate::{MemvidError, Result, VecIndex, VecIndexArtifact}; + +impl Memvid { + #[allow(dead_code)] + pub(crate) fn build_lex_artifact(&mut self) -> Result> { + if !self.lex_enabled { + return Ok(None); + } + let mut builder = LexIndexBuilder::new(); + let empty_tags = HashMap::new(); + let frames: Vec = self + .toc + .frames + .iter() + .filter(|frame| frame.status == FrameStatus::Active) + .cloned() + .collect(); + for frame in frames { + let content = self.frame_content(&frame)?; + let uri = frame + .uri + .clone() + .unwrap_or_else(|| crate::default_uri(frame.id)); + builder.add_document( + frame.id, + &uri, + frame.title.as_deref(), + &content, + &empty_tags, + ); + } + let artifact = builder.finish()?; + let index = LexIndex::decode(&artifact.bytes)?; + Ok(Some((artifact, index))) + } + + pub(crate) fn build_vec_artifact( + &mut self, + new_docs: &[(FrameId, Vec)], + ) -> Result> { + if !self.vec_enabled { + return Ok(None); + } + let mut builder = VecIndexBuilder::new(); + if let Some(index) = self.vec_index.as_ref() { + for (frame_id, embedding) in index.entries() { + if self.frame_is_active(frame_id) { + builder.add_document(frame_id, embedding.to_vec()); + } + } + } + for (frame_id, embedding) in new_docs { + builder.add_document(*frame_id, embedding.clone()); + } + let artifact = builder.finish()?; + let index = VecIndex::decode(&artifact.bytes)?; + Ok(Some((artifact, index))) + } + + pub(crate) fn ensure_lex_index(&mut self) -> Result<()> { + if self.lex_index.is_some() { + return Ok(()); + } + self.load_lex_index_from_manifest() + } + + pub(crate) fn ensure_vec_index(&mut self) -> Result<()> { + if self.vec_index.is_some() { + return Ok(()); + } + self.load_vec_index_from_manifest()?; + + // If no monolithic index was loaded but vec_segments exist, build from segments + if self.vec_index.is_none() + && self.vec_enabled + && !self.toc.segment_catalog.vec_segments.is_empty() + { + self.build_vec_index_from_segments()?; + } + + Ok(()) + } + + pub(crate) fn load_lex_index_from_manifest(&mut self) -> Result<()> { + if let Some(manifest) = &self.toc.indexes.lex { + // Empty manifest (placeholder for enabled but not yet populated index) + if manifest.bytes_length == 0 { + self.lex_index = None; + return Ok(()); + } + + let bytes = + if let Ok(bytes) = self.read_range(manifest.bytes_offset, manifest.bytes_length) { + bytes + } else { + // Don't disable lex if loading fails - keep it enabled + self.lex_index = None; + return Ok(()); + }; + match LexIndex::decode(&bytes) { + Ok(mut index) => { + self.hydrate_lex_index_metadata(&mut index); + self.lex_index = Some(index); + } + Err(_) => { + // Don't disable lex if decoding fails - keep it enabled + // CRITICAL: Don't modify self.toc during read-only operations! + // If dirty=true and Drop commits, it will corrupt the manifest. + self.lex_index = None; + } + } + } else { + self.lex_index = None; + } + Ok(()) + } + + pub(crate) fn load_vec_index_from_manifest(&mut self) -> Result<()> { + // Load the model name from the manifest regardless of validation success + self.vec_model = self.toc.indexes.vec.as_ref().and_then(|m| m.model.clone()); + + if let Some(manifest) = &self.toc.indexes.vec { + // Empty manifest (placeholder for enabled but not yet populated index) + if manifest.bytes_length == 0 { + self.vec_index = None; + return Ok(()); + } + + let bytes = + if let Ok(bytes) = self.read_range(manifest.bytes_offset, manifest.bytes_length) { + bytes + } else { + self.vec_index = None; + // Don't disable vec if loading fails - keep it enabled + // self.vec_enabled = false; + return Ok(()); + }; + match catch_unwind(AssertUnwindSafe(|| VecIndex::decode(&bytes))) { + Ok(Ok(index)) => self.vec_index = Some(index), + Ok(Err(_)) | Err(_) => { + self.vec_index = None; + // Don't disable vec if decoding fails - keep it enabled + // CRITICAL: Don't modify self.toc during read-only operations! + // If dirty=true and Drop commits, it will corrupt the manifest. + // self.vec_enabled = false; + } + } + } else { + self.vec_index = None; + } + Ok(()) + } + + /// Load CLIP index from manifest. + pub(crate) fn load_clip_index_from_manifest(&mut self) -> Result<()> { + use crate::clip::ClipIndex; + + if let Some(manifest) = &self.toc.indexes.clip { + // Empty manifest (placeholder for enabled but not yet populated index) + if manifest.bytes_length == 0 { + self.clip_index = None; + return Ok(()); + } + + let bytes = + if let Ok(bytes) = self.read_range(manifest.bytes_offset, manifest.bytes_length) { + bytes + } else { + self.clip_index = None; + return Ok(()); + }; + match catch_unwind(AssertUnwindSafe(|| ClipIndex::decode(&bytes))) { + Ok(Ok(index)) => self.clip_index = Some(index), + Ok(Err(_)) | Err(_) => { + self.clip_index = None; + } + } + } else { + self.clip_index = None; + } + Ok(()) + } + + pub fn read_range(&mut self, offset: u64, length: u64) -> Result> { + let file_len = self.file.metadata()?.len(); + let end = offset.checked_add(length).ok_or(MemvidError::InvalidToc { + reason: "manifest range overflow".into(), + })?; + if end > file_len || length > crate::MAX_INDEX_BYTES { + return Err(MemvidError::InvalidToc { + reason: "manifest range invalid".into(), + }); + } + self.file.seek(SeekFrom::Start(offset))?; + // Safe: length is checked against MAX_INDEX_BYTES above + #[allow(clippy::cast_possible_truncation)] + let mut buf = vec![0u8; length as usize]; + self.file.read_exact(&mut buf)?; + Ok(buf) + } + + #[allow(dead_code)] + fn disable_lex(&mut self) { + self.lex_index = None; + self.lex_enabled = false; + self.toc.indexes.lex = None; + } + + fn build_vec_index_from_segments(&mut self) -> Result<()> { + use crate::vec::VecIndexBuilder; + + let mut builder = VecIndexBuilder::new(); + + // Clone segments to avoid borrow checker issues + let segments = self.toc.segment_catalog.vec_segments.clone(); + + for segment_desc in &segments { + let bytes = match self.read_range( + segment_desc.common.bytes_offset, + segment_desc.common.bytes_length, + ) { + Ok(bytes) => bytes, + Err(err) => { + tracing::warn!( + error = %err, + segment_id = segment_desc.common.segment_id, + "failed to load vec segment, skipping" + ); + continue; + } + }; + + // Use the compression stored in the descriptor - it's already correct + // The descriptor reflects the actual encoding used when the segment was written + let compression_hint = segment_desc.vector_compression.clone(); + + tracing::debug!( + segment_id = segment_desc.common.segment_id, + compression_hint = ?compression_hint, + bytes_len = bytes.len(), + "attempting to decode vec segment" + ); + + match VecIndex::decode_with_compression(&bytes, compression_hint) { + Ok(segment_index) => { + for (frame_id, embedding) in segment_index.entries() { + if self.frame_is_active(frame_id) { + builder.add_document(frame_id, embedding.to_vec()); + } + } + } + Err(err) => { + tracing::warn!( + error = %err, + segment_id = segment_desc.common.segment_id, + "failed to decode vec segment, skipping" + ); + } + } + } + + let artifact = builder.finish()?; + if artifact.vector_count > 0 { + let index = + VecIndex::decode_with_compression(&artifact.bytes, VectorCompression::None)?; + self.vec_index = Some(index); + } + + Ok(()) + } + + fn hydrate_lex_index_metadata(&self, index: &mut LexIndex) { + for document in index.documents_mut() { + let frame_idx = usize::try_from(document.frame_id).ok(); + let frame_meta = frame_idx.and_then(|idx| self.toc.frames.get(idx)); + + if document.uri.is_none() { + let derived = frame_meta + .and_then(|frame| frame.uri.clone()) + .unwrap_or_else(|| crate::default_uri(document.frame_id)); + document.uri = Some(derived); + } + + if document.title.is_none() { + let title = frame_meta + .and_then(|frame| frame.title.clone()) + .or_else(|| { + document + .uri + .as_ref() + .and_then(|uri| crate::infer_title_from_uri(uri)) + }); + document.title = title; + } + } + } +} + +use crate::vec::VecIndexBuilder; diff --git a/src/memvid/search/fallback.rs b/src/memvid/search/fallback.rs new file mode 100644 index 0000000..df2596a --- /dev/null +++ b/src/memvid/search/fallback.rs @@ -0,0 +1,339 @@ +#![cfg(feature = "lex")] + +#[cfg(feature = "temporal_track")] +use super::helpers::attach_temporal_metadata; +use super::helpers::{build_context, empty_search_response, parse_cursor, timestamp_to_rfc3339}; +use crate::lex::{LexMatch, compute_snippet_slices}; +use crate::memvid::lifecycle::Memvid; +use crate::search::{EvaluationContext, ParsedQuery}; +use crate::types::{ + Frame, FrameId, SearchEngineKind, SearchHit, SearchHitMetadata, SearchParams, SearchRequest, + SearchResponse, +}; +use crate::{MemvidError, Result}; +use std::collections::HashSet; +use std::time::Instant; + +pub(super) fn search_with_lex_fallback( + memvid: &mut Memvid, + parsed: &ParsedQuery, + query_tokens: &[String], + request: &SearchRequest, + params: &SearchParams, + start_time: Instant, + candidate_filter: Option<&HashSet>, +) -> Result { + let index = memvid + .lex_index + .as_ref() + .ok_or(MemvidError::LexNotEnabled)?; + let uri_filter = request.uri.as_deref(); + let scope_filter = if uri_filter.is_some() { + None + } else { + request.scope.as_deref() + }; + + let matches: Vec = index.compute_matches(query_tokens, uri_filter, scope_filter); + let snippet_window = request.snippet_chars.max(80); + let max_snippets_per_doc = request.top_k.max(1); + + let mut evaluated = Vec::new(); + let mut stale_skips = 0u32; + for matched in &matches { + if let Some(filter) = candidate_filter { + if !filter.contains(&matched.frame_id) { + continue; + } + } + let Some(frame_meta) = usize::try_from(matched.frame_id) + .ok() + .and_then(|idx| memvid.toc.frames.get(idx)) + else { + tracing::warn!( + frame_id = matched.frame_id, + "skipping search hit with stale frame_id" + ); + stale_skips = stale_skips.saturating_add(1); + continue; + }; + let content_lower = matched.content.to_ascii_lowercase(); + let ctx = EvaluationContext { + frame: frame_meta, + content_lower: &content_lower, + }; + if !parsed.evaluate(&ctx) { + continue; + } + + let slices = compute_snippet_slices( + &matched.content, + &matched.occurrences, + snippet_window, + max_snippets_per_doc, + ); + evaluated.push((matched, slices)); + } + + let total_slices: usize = evaluated.iter().map(|(_, slices)| slices.len()).sum(); + if total_slices == 0 { + let elapsed_ms = start_time.elapsed().as_millis(); + return Ok(empty_search_response( + request.query.clone(), + params.clone(), + elapsed_ms, + SearchEngineKind::LexFallback, + )); + } + + let offset = parse_cursor(request.cursor.as_deref(), total_slices)?; + let effective_top_k = request.top_k.max(1); + + let mut hits = Vec::new(); + let mut produced = 0usize; + for (matched, slices) in evaluated { + let Some(frame_meta) = memvid + .toc + .frames + .get(usize::try_from(matched.frame_id).unwrap_or(usize::MAX)) + .cloned() + else { + tracing::warn!( + frame_id = matched.frame_id, + "skipping stale frame_id in snippet assembly" + ); + continue; + }; + let canonical = memvid.frame_content(&frame_meta)?; + let canonical_limit = frame_meta.canonical_length.map_or_else( + || canonical.len(), + |len| { + // Safe: canonical length is reasonably small string length + #[allow(clippy::cast_possible_truncation)] + let l = len as usize; + l + }, + ); + let canonical_len = canonical.len(); + let effective_len = canonical_limit.min(canonical_len); + let uri = matched + .uri + .clone() + .or_else(|| frame_meta.uri.clone()) + .unwrap_or_else(|| crate::default_uri(matched.frame_id)); + let title = matched + .title + .clone() + .or_else(|| frame_meta.title.clone()) + .or_else(|| crate::infer_title_from_uri(&uri)); + + for (start, end) in slices { + if produced < offset { + produced += 1; + continue; + } + if hits.len() == effective_top_k { + break; + } + + let matches_in_slice = matched + .occurrences + .iter() + .filter(|(s, e)| *s >= start && *e <= end) + .count() + .max(1); + let metadata = SearchHitMetadata { + matches: matches_in_slice, + tags: frame_meta.tags.clone(), + labels: frame_meta.labels.clone(), + track: frame_meta.track.clone(), + created_at: timestamp_to_rfc3339(frame_meta.timestamp), + content_dates: frame_meta.content_dates.clone(), + entities: Vec::new(), + extra_metadata: frame_meta.extra_metadata.clone(), + #[cfg(feature = "temporal_track")] + temporal: None, + }; + + let chunk_start = matched.chunk_offset; + let chunk_end = (chunk_start + matched.content.len()).min(effective_len); + if chunk_end <= chunk_start { + produced += 1; + continue; + } + let chunk_range = (chunk_start, chunk_end); + let global_start = (chunk_start + start).min(chunk_end); + let global_end = (chunk_start + end).min(chunk_end); + if global_end <= global_start { + produced += 1; + continue; + } + let canonical_bytes = canonical.as_bytes(); + let snippet_text = + String::from_utf8_lossy(&canonical_bytes[global_start..global_end]).to_string(); + let chunk_text = + String::from_utf8_lossy(&canonical_bytes[chunk_start..chunk_end]).to_string(); + hits.push(SearchHit { + rank: hits.len() + 1, + frame_id: matched.frame_id, + uri: uri.clone(), + title: title.clone(), + range: (global_start, global_end), + text: snippet_text, + matches: matches_in_slice, + chunk_range: Some(chunk_range), + chunk_text: Some(chunk_text), + score: Some(matched.score), + metadata: Some(metadata), + }); + produced += 1; + } + } + + let next_cursor = if produced < total_slices { + Some(produced.to_string()) + } else { + None + }; + + let elapsed_ms = start_time.elapsed().as_millis().max(1); + #[cfg(feature = "temporal_track")] + attach_temporal_metadata(memvid, &mut hits)?; + let context = build_context(&hits); + + Ok(SearchResponse { + query: request.query.clone(), + elapsed_ms, + total_hits: total_slices, + params: params.clone(), + hits, + context, + next_cursor, + engine: SearchEngineKind::LexFallback, + stale_index_skips: stale_skips, + }) +} + +pub(super) fn search_with_filters_only( + memvid: &mut Memvid, + parsed: &ParsedQuery, + request: &SearchRequest, + params: &SearchParams, + start_time: Instant, + candidate_filter: Option<&HashSet>, +) -> Result { + let mut matches = Vec::new(); + let snippet_limit = request.snippet_chars.max(80); + let frames: Vec = if let Some(filter) = candidate_filter { + memvid + .toc + .frames + .iter() + .filter(|frame| filter.contains(&frame.id)) + .cloned() + .collect() + } else { + memvid.toc.frames.clone() + }; + + for frame in frames { + let search_text = memvid.frame_search_text(&frame)?; + let content_lower = search_text.to_ascii_lowercase(); + let ctx = EvaluationContext { + frame: &frame, + content_lower: &content_lower, + }; + if !parsed.evaluate(&ctx) { + continue; + } + matches.push((frame.id, frame, search_text)); + } + + let total_hits = matches.len(); + if total_hits == 0 { + let elapsed_ms = start_time.elapsed().as_millis().max(1); + return Ok(SearchResponse { + query: request.query.clone(), + elapsed_ms, + total_hits, + params: params.clone(), + hits: Vec::new(), + context: build_context(&[]), + next_cursor: None, + engine: SearchEngineKind::LexFallback, + stale_index_skips: 0, + }); + } + + let offset = parse_cursor(request.cursor.as_deref(), total_hits)?; + let effective_top_k = request.top_k.max(1); + let mut hits = Vec::new(); + let mut produced = 0usize; + + for (frame_id, frame, search_text) in matches.into_iter().skip(offset) { + if hits.len() == effective_top_k { + break; + } + let snippet: String = search_text.chars().take(snippet_limit).collect(); + let snippet_bytes = snippet.len(); + let metadata = SearchHitMetadata { + matches: 1, + tags: frame.tags.clone(), + labels: frame.labels.clone(), + track: frame.track.clone(), + created_at: timestamp_to_rfc3339(frame.timestamp), + content_dates: frame.content_dates.clone(), + entities: Vec::new(), + extra_metadata: frame.extra_metadata.clone(), + #[cfg(feature = "temporal_track")] + temporal: None, + }; + + let uri = frame + .uri + .clone() + .unwrap_or_else(|| crate::default_uri(frame_id)); + let title = frame + .title + .clone() + .or_else(|| crate::infer_title_from_uri(&uri)); + + hits.push(SearchHit { + rank: hits.len() + 1, + frame_id, + uri, + title, + range: (0, snippet_bytes), + text: snippet.clone(), + matches: 1, + chunk_range: Some((0, snippet_bytes)), + chunk_text: Some(snippet), + score: None, + metadata: Some(metadata), + }); + produced += 1; + } + + let next_cursor = if offset + produced < total_hits { + Some((offset + produced).to_string()) + } else { + None + }; + + let elapsed_ms = start_time.elapsed().as_millis().max(1); + #[cfg(feature = "temporal_track")] + attach_temporal_metadata(memvid, &mut hits)?; + let context = build_context(&hits); + + Ok(SearchResponse { + query: request.query.clone(), + elapsed_ms, + total_hits, + params: params.clone(), + hits, + context, + next_cursor, + engine: SearchEngineKind::LexFallback, + stale_index_skips: 0, + }) +} diff --git a/src/memvid/search/helpers.rs b/src/memvid/search/helpers.rs new file mode 100644 index 0000000..8be510a --- /dev/null +++ b/src/memvid/search/helpers.rs @@ -0,0 +1,430 @@ +// Safe unwrap: guaranteed non-empty vector operations. +#![allow(clippy::unwrap_used)] +use crate::MemvidError; +use crate::Result; +use crate::memvid::lifecycle::Memvid; +#[cfg(not(feature = "temporal_track"))] +#[allow(unused_imports)] +use crate::types::FrameId; +#[cfg(feature = "temporal_track")] +use crate::types::{ + FrameId, SearchHitTemporal, SearchHitTemporalAnchor, SearchHitTemporalMention, TemporalMention, +}; +use crate::types::{SearchEngineKind, SearchHit, SearchHitMetadata, SearchParams, SearchResponse}; +#[cfg(feature = "temporal_track")] +use std::collections::HashMap; +#[cfg(feature = "temporal_track")] +use std::collections::HashSet; +use std::collections::{BTreeMap, HashSet as StdHashSet}; +use time::{OffsetDateTime, format_description::well_known::Rfc3339}; + +pub(super) fn empty_search_response( + query: String, + params: SearchParams, + elapsed_ms: u128, + engine: SearchEngineKind, +) -> SearchResponse { + SearchResponse { + query, + elapsed_ms, + total_hits: 0, + params, + hits: Vec::new(), + context: String::new(), + next_cursor: None, + engine, + stale_index_skips: 0, + } +} + +pub(super) fn timestamp_to_rfc3339(timestamp: i64) -> Option { + OffsetDateTime::from_unix_timestamp(timestamp) + .ok() + .map(|dt| { + dt.format(&Rfc3339) + .unwrap_or_else(|_| timestamp.to_string()) + }) +} + +pub(super) fn parse_cursor(cursor: Option<&str>, total_hits: usize) -> Result { + let Some(token) = cursor else { + return Ok(0); + }; + let trimmed = token.trim(); + if trimmed.is_empty() { + return Ok(0); + } + let value = trimmed + .parse::() + .map_err(|_| MemvidError::InvalidCursor { + reason: "cursor not an integer", + })?; + if value > total_hits { + return Err(MemvidError::InvalidCursor { + reason: "cursor beyond total hits", + }); + } + Ok(value) +} + +/// Build context for LLM from search hits using a multi-document strategy. +/// +/// Key design decisions for deterministic, comprehensive context: +/// 1. Uses `BTreeMap` for deterministic iteration order (sorted by URI) +/// 2. Includes top hits from MULTIPLE documents for diverse context +/// 3. Prioritizes by rank while ensuring document diversity +/// 4. Maximum 24 hits for balanced context (not too much noise, not too little coverage) +pub(crate) fn build_context(hits: &[SearchHit]) -> String { + if hits.is_empty() { + return String::new(); + } + + // Maximum hits to include in context + // Balanced at 24 to provide good coverage without overwhelming the LLM with noise + const MAX_CONTEXT_HITS: usize = 24; + + // Group hits by base URI using BTreeMap for deterministic iteration + let mut groups: BTreeMap = BTreeMap::new(); + for (idx, hit) in hits.iter().enumerate() { + let base = hit + .uri + .split('#') + .next() + .unwrap_or(&hit.uri) + .to_ascii_lowercase(); + let entry = groups.entry(base).or_default(); + entry.indices.push(idx); + entry.total_matches += hit.matches.max(1); + entry.best_rank = entry.best_rank.min(hit.rank); + } + + // Multi-document strategy: select diverse hits from different URIs + // First pass: take best hit from each unique URI for diversity + let mut selected_indices: Vec = Vec::with_capacity(MAX_CONTEXT_HITS); + let mut seen_uris: StdHashSet = StdHashSet::new(); + + // Collect groups sorted by best_rank (lower is better) + let mut sorted_groups: Vec<(String, GroupSummary)> = groups.into_iter().collect(); + sorted_groups.sort_by(|a, b| { + a.1.best_rank + .cmp(&b.1.best_rank) + .then(b.1.total_matches.cmp(&a.1.total_matches)) + }); + + // First pass: one hit per unique document (for diversity) + for (uri, group) in &sorted_groups { + if selected_indices.len() >= MAX_CONTEXT_HITS { + break; + } + if !seen_uris.contains(uri) { + // Take the best-ranked hit from this group (first index after sorting) + if let Some(&best_idx) = group.indices.first() { + selected_indices.push(best_idx); + seen_uris.insert(uri.clone()); + } + } + } + + // Second pass: fill remaining slots with additional hits by rank order + if selected_indices.len() < MAX_CONTEXT_HITS { + // Collect all remaining hits not yet selected, sorted by rank + let mut remaining: Vec<(usize, usize)> = hits + .iter() + .enumerate() + .filter(|(idx, _)| !selected_indices.contains(idx)) + .map(|(idx, hit)| (idx, hit.rank)) + .collect(); + remaining.sort_by_key(|(_, rank)| *rank); + + for (idx, _) in remaining { + if selected_indices.len() >= MAX_CONTEXT_HITS { + break; + } + selected_indices.push(idx); + } + } + + // Sort by original index for stable output order + selected_indices.sort_unstable(); + + // Render selected hits + selected_indices + .into_iter() + .filter_map(|idx| hits.get(idx)) + .map(render_hit) + .collect::>() + .join("\n\n") +} + +struct GroupSummary { + indices: Vec, + total_matches: usize, + best_rank: usize, +} + +impl Default for GroupSummary { + fn default() -> Self { + Self { + indices: Vec::new(), + total_matches: 0, + best_rank: usize::MAX, + } + } +} + +fn render_hit(hit: &SearchHit) -> String { + let display_uri = hit.uri.strip_prefix("mv2://").unwrap_or(&hit.uri); + let heading = hit.title.as_deref().unwrap_or(display_uri); + format!( + "### [{}] {} — {}\n{}\n(matches: {})", + hit.rank, display_uri, heading, hit.text, hit.matches + ) +} + +pub(super) fn collect_token_occurrences( + content_lower: &str, + tokens: &[String], +) -> Vec<(usize, usize)> { + let mut occurrences = Vec::new(); + for token in tokens { + let needle = token.trim(); + if needle.is_empty() { + continue; + } + let mut start = 0usize; + while let Some(pos) = content_lower[start..].find(needle) { + let absolute = start + pos; + let end = absolute + needle.len(); + occurrences.push((absolute, end)); + start = end; + } + } + occurrences.sort_unstable(); + occurrences.dedup(); + occurrences +} + +pub(crate) fn reorder_hits_by_token_matches(hits: &mut Vec, tokens: &[String]) { + if hits.is_empty() || tokens.is_empty() { + return; + } + + hits.sort_by(|a, b| { + let metrics_a = token_match_metrics(a, tokens); + let metrics_b = token_match_metrics(b, tokens); + tracing::debug!( + "reorder metrics for hit {}: unique={} total={} span={}", + a.frame_id, + metrics_a.unique_tokens, + metrics_a.total_occurrences, + metrics_a.tightest_span + ); + tracing::debug!( + "reorder metrics for hit {}: unique={} total={} span={}", + b.frame_id, + metrics_b.unique_tokens, + metrics_b.total_occurrences, + metrics_b.tightest_span + ); + metrics_b + .unique_tokens + .cmp(&metrics_a.unique_tokens) + .then( + metrics_b + .total_occurrences + .cmp(&metrics_a.total_occurrences), + ) + .then(metrics_a.tightest_span.cmp(&metrics_b.tightest_span)) + .then(a.rank.cmp(&b.rank)) + }); + + for (idx, hit) in hits.iter_mut().enumerate() { + hit.rank = idx + 1; + } +} + +#[derive(Eq, PartialEq, Debug, Clone, Copy)] +struct TokenMetrics { + unique_tokens: usize, + total_occurrences: usize, + tightest_span: usize, +} + +fn token_match_metrics(hit: &SearchHit, tokens: &[String]) -> TokenMetrics { + let haystack = hit + .chunk_text + .as_ref() + .unwrap_or(&hit.text) + .to_ascii_lowercase(); + + let mut unique = 0usize; + let mut total = 0usize; + let mut positions: Vec = Vec::new(); + for token in tokens { + let mut search_start = 0usize; + let mut found = false; + while let Some(pos) = haystack[search_start..].find(token) { + let absolute = search_start + pos; + positions.push(absolute); + total += 1; + found = true; + search_start = absolute + token.len(); + } + if found { + unique += 1; + } + } + + positions.sort_unstable(); + let span = if positions.len() >= 2 { + positions.last().copied().unwrap() - positions[0] + } else { + usize::MAX + }; + + TokenMetrics { + unique_tokens: unique, + total_occurrences: total, + tightest_span: span, + } +} + +#[cfg(feature = "temporal_track")] +pub(crate) fn attach_temporal_metadata(memvid: &mut Memvid, hits: &mut [SearchHit]) -> Result<()> { + if hits.is_empty() { + return Ok(()); + } + + let Some(track) = memvid.temporal_track_ref()?.cloned() else { + return Ok(()); + }; + + let frame_ids: HashSet = hits.iter().map(|hit| hit.frame_id).collect(); + if frame_ids.is_empty() { + return Ok(()); + } + + let mut mentions_by_frame: HashMap> = HashMap::new(); + for mention in &track.mentions { + if frame_ids.contains(&mention.frame_id) { + mentions_by_frame + .entry(mention.frame_id) + .or_default() + .push(mention); + } + } + + let mut canonical_cache: HashMap = HashMap::new(); + + for hit in hits.iter_mut() { + let frame_id = hit.frame_id; + let metadata = hit.metadata.get_or_insert_with(SearchHitMetadata::default); + + let mut temporal = SearchHitTemporal::default(); + + if let Some(anchor) = track.anchor_for_frame(frame_id) { + temporal.anchor = Some(SearchHitTemporalAnchor { + ts_utc: anchor.anchor_ts, + iso_8601: timestamp_to_rfc3339(anchor.anchor_ts), + source: anchor.source, + }); + } + + if let Some(mentions) = mentions_by_frame.get(&frame_id) { + let mut collected = Vec::new(); + for mention in mentions { + let mention_start = mention.byte_start as usize; + let mention_end = mention_start.saturating_add(mention.byte_len as usize); + if mention_start == mention_end { + continue; + } + let (hit_start, hit_end) = hit.range; + if mention_end <= hit_start || mention_start >= hit_end { + continue; + } + + let text = if mention_end > mention_start { + if !canonical_cache.contains_key(&frame_id) { + match memvid.toc.frames.get(frame_id as usize).cloned() { + Some(frame) => { + let content = memvid.frame_content(&frame)?; + canonical_cache.insert(frame_id, content); + } + None => { + tracing::warn!( + frame_id, + "skipping temporal text for stale frame_id" + ); + } + } + } + canonical_cache.get(&frame_id).and_then(|content| { + if mention_end <= content.len() { + let slice = &content.as_bytes()[mention_start..mention_end]; + let raw = String::from_utf8_lossy(slice).to_string(); + let trimmed = raw.trim(); + if trimmed.is_empty() { + None + } else { + Some(trimmed.to_owned()) + } + } else { + None + } + }) + } else { + None + }; + + collected.push(SearchHitTemporalMention { + ts_utc: mention.ts_utc, + iso_8601: timestamp_to_rfc3339(mention.ts_utc), + kind: mention.kind, + confidence: mention.confidence, + flags: mention.flags, + text, + byte_start: mention.byte_start, + byte_len: mention.byte_len, + }); + } + + if !collected.is_empty() { + temporal.mentions = collected; + } + } + + if temporal.anchor.is_some() || !temporal.mentions.is_empty() { + metadata.temporal = Some(temporal); + } + } + + Ok(()) +} + +/// Enrich search hits with entities from the Logic-Mesh. +/// +/// For each hit, looks up entities that are associated with the hit's frame. +/// If the frame is a `DocumentChunk` (page), also checks the parent document frame +/// for entities since NER extraction happens on the full document. +pub(super) fn enrich_hits_with_entities(hits: &mut [SearchHit], memvid: &Memvid) { + for hit in hits.iter_mut() { + let mut entities = memvid.frame_entities_for_search(hit.frame_id); + + // If no entities found and this is a chunk, check the parent frame + if entities.is_empty() { + if let Some(frame) = usize::try_from(hit.frame_id) + .ok() + .and_then(|idx| memvid.toc.frames.get(idx)) + { + if let Some(parent_id) = frame.parent_id { + entities = memvid.frame_entities_for_search(parent_id); + } + } + } + + if !entities.is_empty() { + let metadata = hit.metadata.get_or_insert_with(SearchHitMetadata::default); + metadata.entities = entities; + } + } +} diff --git a/src/memvid/search/mod.rs b/src/memvid/search/mod.rs new file mode 100644 index 0000000..c73d88a --- /dev/null +++ b/src/memvid/search/mod.rs @@ -0,0 +1,302 @@ +//! Search orchestration for `Memvid`. +//! +//! The search entrypoint chooses an engine (Tantivy lexical, optional temporal filters, +//! and lex-only fallback) and returns fully decorated snippets with chunk metadata. +//! Invariants: refuses empty queries, respects cursor/limit bounds, and never mutates +//! the underlying file. + +#[cfg(feature = "lex")] +use std::collections::{BTreeSet, HashSet}; +#[cfg(feature = "lex")] +use std::time::Instant; + +use crate::memvid::lifecycle::Memvid; +use crate::types::{FrameId, SearchEngineKind, SearchParams, SearchRequest, SearchResponse}; +use crate::{MemvidError, Result}; + +mod api; +mod builders; +#[cfg(feature = "lex")] +mod fallback; +pub(crate) mod helpers; +#[cfg(feature = "lex")] +mod tantivy; +#[cfg(any(feature = "lex", feature = "temporal_track"))] +mod time_filter; + +// Re-export text indexability helpers for use in validation +pub use api::{ + DEFAULT_MAX_INDEX_PAYLOAD, is_frame_text_indexable, is_text_indexable_mime, max_index_payload, +}; + +#[cfg(feature = "lex")] +use fallback::{search_with_filters_only, search_with_lex_fallback}; +use helpers::{build_context, empty_search_response}; +#[cfg(feature = "lex")] +pub use tantivy::parse_content_date_to_timestamp; +#[cfg(feature = "lex")] +use tantivy::try_tantivy_search; +#[cfg(feature = "temporal_track")] +pub use time_filter::frame_ids_for_temporal_filter; +#[cfg(feature = "lex")] +use time_filter::frame_ids_in_date_range; + +#[cfg(feature = "lex")] +impl Memvid { + pub fn search(&mut self, request: SearchRequest) -> Result { + if !self.lex_enabled { + return Err(MemvidError::LexNotEnabled); + } + + // Lazy-init Tantivy if lex is enabled but engine is missing. + // This can happen when a wrapper re-enables lex on an already-enabled + // instance, or after a staging-lock rollback lost the engine reference. + if self.tantivy.is_none() { + self.init_tantivy()?; + } + + let start_time = Instant::now(); + // parse_query can return structured tokens; we only keep non-empty, lower-cased terms. + let parsed = crate::search::parse_query(&request.query)?; + let mut query_tokens = parsed.text_tokens(); + query_tokens.retain(|token| !token.trim().is_empty()); + query_tokens = query_tokens + .into_iter() + .map(|s| s.as_str().to_ascii_lowercase()) + .collect::>() + .into_iter() + .collect(); + let has_text_terms = !query_tokens.is_empty(); + let has_field_terms = parsed.contains_field_terms(); + + if !has_text_terms && !has_field_terms { + return Err(MemvidError::InvalidQuery { + reason: "query must include at least one search term or field filter".into(), + }); + } + + let params = SearchParams { + top_k: request.top_k, + snippet_chars: request.snippet_chars, + cursor: request.cursor.clone(), + }; + + let date_range = parsed.required_date_range(); + #[allow(unused_mut)] + let mut candidate_filter: Option> = if let Some(ref range) = date_range { + if range.is_empty() { + let elapsed = start_time.elapsed().as_millis(); + return Ok(empty_search_response( + request.query.clone(), + params.clone(), + elapsed, + SearchEngineKind::Tantivy, + )); + } + match frame_ids_in_date_range(self, range)? { + Some(ids) => { + if ids.is_empty() { + let elapsed = start_time.elapsed().as_millis(); + return Ok(empty_search_response( + request.query.clone(), + params.clone(), + elapsed, + SearchEngineKind::Tantivy, + )); + } + Some(ids.into_iter().collect()) + } + None => None, + } + } else { + None + }; + + #[cfg(feature = "temporal_track")] + if let Some(ref temporal_filter) = request.temporal { + if !temporal_filter.is_empty() { + match time_filter::frame_ids_for_temporal_filter(self, temporal_filter)? { + Some(ids) => { + if ids.is_empty() { + let elapsed = start_time.elapsed().as_millis(); + return Ok(empty_search_response( + request.query.clone(), + params.clone(), + elapsed, + SearchEngineKind::Tantivy, + )); + } + let new_set: HashSet = ids.into_iter().collect(); + candidate_filter = match candidate_filter { + Some(existing) => { + let filtered: HashSet = existing + .into_iter() + .filter(|id| new_set.contains(id)) + .collect(); + if filtered.is_empty() { + let elapsed = start_time.elapsed().as_millis(); + return Ok(empty_search_response( + request.query.clone(), + params.clone(), + elapsed, + SearchEngineKind::Tantivy, + )); + } + Some(filtered) + } + None => Some(new_set), + }; + } + None => {} + } + } + } + + // REPLAY: Filter by as_of_frame or as_of_ts for time-travel views + if request.as_of_frame.is_some() || request.as_of_ts.is_some() { + let replay_ids = self.get_replay_frame_ids(&request)?; + if replay_ids.is_empty() { + let elapsed = start_time.elapsed().as_millis(); + return Ok(empty_search_response( + request.query.clone(), + params.clone(), + elapsed, + SearchEngineKind::Tantivy, + )); + } + let replay_set: HashSet = replay_ids.into_iter().collect(); + candidate_filter = match candidate_filter { + Some(existing) => { + let filtered: HashSet = existing + .into_iter() + .filter(|id| replay_set.contains(id)) + .collect(); + if filtered.is_empty() { + let elapsed = start_time.elapsed().as_millis(); + return Ok(empty_search_response( + request.query.clone(), + params.clone(), + elapsed, + SearchEngineKind::Tantivy, + )); + } + Some(filtered) + } + None => Some(replay_set), + }; + } + + // SKETCH PRE-FILTER: Use sketch track for fast candidate generation if available + // This dramatically reduces the number of documents sent to BM25/Tantivy + if self.has_sketches() && has_text_terms && !request.no_sketch { + let sketch_start = Instant::now(); + let sketch_options = crate::SketchSearchOptions { + // Use relaxed threshold for better recall - BM25 will rerank anyway + hamming_threshold: 32, + // Get more candidates than needed - BM25 will select the best + max_candidates: (params.top_k * 10).max(500), + min_score: 0.0, + }; + let sketch_candidates = + self.find_sketch_candidates(&request.query, Some(sketch_options)); + + if !sketch_candidates.is_empty() { + let sketch_set: HashSet = + sketch_candidates.iter().map(|c| c.frame_id).collect(); + + tracing::debug!( + sketch_candidates = sketch_candidates.len(), + sketch_time_us = sketch_start.elapsed().as_micros(), + "sketch pre-filter applied" + ); + + candidate_filter = match candidate_filter { + Some(existing) => { + // Intersection: keep only IDs that pass both filters + let filtered: HashSet = existing + .into_iter() + .filter(|id| sketch_set.contains(id)) + .collect(); + if filtered.is_empty() { + // Fall back to sketch-only if intersection is empty + Some(sketch_set) + } else { + Some(filtered) + } + } + None => Some(sketch_set), + }; + } + } + + let mut response = if let Some(response) = try_tantivy_search( + self, + &parsed, + &query_tokens, + &request, + ¶ms, + start_time, + candidate_filter.as_ref(), + )? { + response + } else { + self.ensure_lex_index()?; + if has_text_terms { + search_with_lex_fallback( + self, + &parsed, + &query_tokens, + &request, + ¶ms, + start_time, + candidate_filter.as_ref(), + )? + } else { + search_with_filters_only( + self, + &parsed, + &request, + ¶ms, + start_time, + candidate_filter.as_ref(), + )? + } + }; + + self.apply_acl_to_search_hits( + &mut response.hits, + request.acl_context.as_ref(), + request.acl_enforcement_mode, + )?; + if request.acl_enforcement_mode == crate::types::AclEnforcementMode::Enforce { + response.total_hits = response.hits.len(); + response.context = build_context(&response.hits); + } + + // Enrich hits with Logic-Mesh entities if mesh is available + if self.has_logic_mesh() { + helpers::enrich_hits_with_entities(&mut response.hits, self); + } + + // Record the search action if a replay session is active + #[cfg(feature = "replay")] + { + let result_frames: Vec = response.hits.iter().map(|h| h.frame_id).collect(); + self.record_find_action( + &request.query, + &format!("{:?}", response.engine), + response.hits.len(), + result_frames, + ); + } + + Ok(response) + } +} + +#[cfg(not(feature = "lex"))] +impl Memvid { + pub fn search(&mut self, _request: SearchRequest) -> Result { + Err(MemvidError::LexNotEnabled) + } +} diff --git a/src/memvid/search/tantivy.rs b/src/memvid/search/tantivy.rs new file mode 100644 index 0000000..cbb12ff --- /dev/null +++ b/src/memvid/search/tantivy.rs @@ -0,0 +1,627 @@ +// Safe unwrap: regex from validated patterns. +#![allow(clippy::unwrap_used)] +#![cfg(feature = "lex")] +#[cfg(feature = "temporal_track")] +use super::helpers::attach_temporal_metadata; +use super::helpers::{ + build_context, collect_token_occurrences, parse_cursor, timestamp_to_rfc3339, +}; +use crate::Result; +use crate::lex::compute_snippet_slices; +use crate::memvid::frame::ChunkInfo; +use crate::memvid::lifecycle::Memvid; +use crate::search::{EvaluationContext, ParsedQuery}; +use crate::types::{ + FrameId, SearchEngineKind, SearchHit, SearchHitMetadata, SearchParams, SearchRequest, + SearchResponse, +}; +use log::warn; +use std::collections::HashSet; +use std::time::Instant; + +pub(super) fn try_tantivy_search( + memvid: &mut Memvid, + parsed: &ParsedQuery, + query_tokens: &[String], + request: &SearchRequest, + params: &SearchParams, + start_time: Instant, + candidate_filter: Option<&HashSet>, +) -> Result> { + let engine = match memvid.tantivy.as_ref() { + Some(engine) => engine, + None => { + return Ok(None); + } + }; + + // Use stemmed tokens for evaluation to match what Tantivy indexed. + // Tantivy stems during indexing (e.g., "technology" → "technolog"), so we need + // to search for stemmed forms in the content as well. + let mut stemmed_tokens = Vec::new(); + for token in query_tokens { + let analyzed = engine.analyse_text(token); + stemmed_tokens.extend(analyzed); + } + let stemmed_tokens = stemmed_tokens; + + let offset_hint = request + .cursor + .as_deref() + .and_then(|cursor| cursor.parse::().ok()) + .unwrap_or(0); + let base_docs = request.top_k.max(1) + offset_hint; + let mut doc_limit = base_docs.saturating_mul(4).max(20); + if let Some(filter) = candidate_filter { + doc_limit = doc_limit.min(filter.len().max(1)); + } + let uri_filter = request.uri.as_deref(); + let scope_filter = if uri_filter.is_some() { + None + } else { + request.scope.as_deref() + }; + + let frame_filter_vec: Option> = + candidate_filter.map(|set| set.iter().copied().collect()); + let frame_filter_slice = frame_filter_vec.as_deref(); + + let search_hits = match engine.search_documents( + parsed, + uri_filter, + scope_filter, + frame_filter_slice, + doc_limit, + ) { + Ok(hits) => hits, + Err(err) => { + warn!("tantivy search failed: {err}"); + return Ok(None); + } + }; + tracing::debug!( + "tantivy hits for query '{}': {}", + request.query, + search_hits.len() + ); + if search_hits.is_empty() { + // Fall back to legacy lex search when Tantivy yields no hits. This avoids silent + // zero-hit responses when the analyzer drops tokens (e.g., qtoken_123). + // BUT only fall back if lex_index actually exists and has data. + let has_lex_data = memvid + .toc + .indexes + .lex + .as_ref() + .is_some_and(|manifest| manifest.bytes_length > 0); + if has_lex_data { + memvid.ensure_lex_index()?; + return Ok(Some(super::fallback::search_with_lex_fallback( + memvid, + parsed, + query_tokens, + request, + params, + start_time, + candidate_filter, + )?)); + } + // No lex fallback available, return empty Tantivy results + let elapsed = start_time.elapsed().as_millis(); + return Ok(Some(super::helpers::empty_search_response( + request.query.clone(), + params.clone(), + elapsed, + crate::types::SearchEngineKind::Tantivy, + ))); + } + + let snippet_window = request.snippet_chars.max(80); + let max_snippets_per_doc = request.top_k.max(1); + let mut evaluated = Vec::new(); + let mut stale_skips = 0u32; + for hit in search_hits { + let Some(frame_meta) = memvid + .toc + .frames + .get(usize::try_from(hit.frame_id).unwrap_or(usize::MAX)) + .cloned() + else { + tracing::warn!( + frame_id = hit.frame_id, + "skipping search hit with stale frame_id" + ); + stale_skips = stale_skips.saturating_add(1); + continue; + }; + if let Some(uri_expected) = uri_filter { + if !uri_matches(frame_meta.uri.as_deref(), uri_expected) { + continue; + } + } else if let Some(scope) = scope_filter { + match frame_meta.uri.as_deref() { + Some(uri) if uri.starts_with(scope) => {} + _ => continue, + } + } + + let chunk_info = match memvid.resolve_chunk_context(&frame_meta) { + Ok(info) => info, + Err(err) => { + warn!( + "unable to resolve chunk context for frame {}: {}", + frame_meta.id, err + ); + continue; + } + }; + + // Use the frame's search text for evaluation. While hit.content comes from Tantivy, + // it may have incorrect frame_id mappings due to indexing issues. The frame's search_text + // from TOC is authoritative for this frame_id. + let eval_text = frame_meta + .search_text + .as_deref() + .map(str::to_ascii_lowercase) + .unwrap_or_else(|| chunk_info.text.to_ascii_lowercase()); + + // Evaluate the parsed query to filter results. This is necessary for: + // - Field terms (uri, track, tags, etc.) that Tantivy may have matched loosely + // - Text terms with AND logic (PR #178) - Tantivy matches each term independently, + // but the parsed expression requires ALL terms to be present in the content + let ctx = EvaluationContext { + frame: &frame_meta, + content_lower: &eval_text, + }; + if !parsed.evaluate(&ctx) { + tracing::debug!( + "tantivy hit {} culled: failed query evaluation", + frame_meta.id + ); + continue; + } + // Use frame's search text for token occurrence matching as well + let occurrences = collect_token_occurrences(&eval_text, &stemmed_tokens); + let slices = compute_snippet_slices( + &chunk_info.text, + &occurrences, + snippet_window, + max_snippets_per_doc, + ); + if slices.is_empty() { + tracing::debug!("tantivy hit {} culled: no snippet slices", frame_meta.id); + continue; + } + // Use content_dates if available, otherwise fall back to frame timestamp + let effective_ts = parse_content_date_to_timestamp(&frame_meta.content_dates) + .unwrap_or(frame_meta.timestamp); + evaluated.push((hit, occurrences, slices, chunk_info, effective_ts)); + } + + // Apply recency boosting: re-sort by combined score (BM25 + recency) + // This helps knowledge-update questions find the most recent information + if evaluated.len() > 1 { + // Use RELATIVE recency within the result set, not absolute time from "now" + // This ensures documents from different time periods are fairly compared + let max_ts = evaluated + .iter() + .map(|(_, _, _, _, ts)| *ts) + .max() + .unwrap_or(0); + + // Calculate recency-boosted scores and attach to items + let mut with_scores: Vec<(f32, _)> = evaluated + .into_iter() + .map(|(hit, occurrences, slices, chunk_info, timestamp)| { + let bm25_score = hit.score; + // Age relative to the most recent document in results + #[allow(clippy::cast_precision_loss)] + let age_seconds = (max_ts - timestamp).max(0) as f32; + // Decay factor: half-life of ~1 day for aggressive recency preference + // This ensures even a few days difference has significant impact + let decay_factor = 0.00000802; // ln(2) / 86400 (1 day) + let recency_boost = (-decay_factor * age_seconds).exp(); + // Combine: 40% BM25 + 60% recency boost - strongly prefer recent + let combined_score = bm25_score * 0.4 + (bm25_score * recency_boost * 0.6); + ( + combined_score, + (hit, occurrences, slices, chunk_info, timestamp), + ) + }) + .collect(); + + // Sort by combined score (descending) + with_scores.sort_by(|a, b| b.0.partial_cmp(&a.0).unwrap_or(std::cmp::Ordering::Equal)); + + // Extract back to evaluated + evaluated = with_scores.into_iter().map(|(_, item)| item).collect(); + } + + if evaluated.is_empty() { + tracing::debug!("tantivy evaluation produced zero hits; falling back to legacy lex",); + memvid.ensure_lex_index()?; + return Ok(Some(super::fallback::search_with_lex_fallback( + memvid, + parsed, + query_tokens, + request, + params, + start_time, + candidate_filter, + )?)); + } + + let total_slices: usize = evaluated + .iter() + .map(|(_, _, slices, _, _)| slices.len()) + .sum(); + if total_slices == 0 { + tracing::debug!( + "tantivy evaluation produced zero total slices; falling back to legacy lex", + ); + memvid.ensure_lex_index()?; + return Ok(Some(super::fallback::search_with_lex_fallback( + memvid, + parsed, + query_tokens, + request, + params, + start_time, + candidate_filter, + )?)); + } + + let offset = parse_cursor(request.cursor.as_deref(), total_slices)?; + let effective_top_k = request.top_k.max(1); + + let mut hits = Vec::new(); + let mut produced = 0usize; + for (hit, occurrences, slices, chunk_info, _timestamp) in evaluated { + if hits.len() == effective_top_k && produced >= offset { + break; + } + let Some(frame_meta) = memvid + .toc + .frames + .get(usize::try_from(hit.frame_id).unwrap_or(usize::MAX)) + .cloned() + else { + tracing::warn!( + frame_id = hit.frame_id, + "skipping stale frame_id in snippet assembly" + ); + continue; + }; + let uri = frame_meta + .uri + .clone() + .unwrap_or_else(|| crate::default_uri(hit.frame_id)); + let title = frame_meta + .title + .clone() + .or_else(|| crate::infer_title_from_uri(&uri)); + + let ChunkInfo { + start: chunk_start, + end: chunk_end, + text: chunk_text, + } = chunk_info; + let chunk_bytes = chunk_text.as_bytes(); + let chunk_range = (chunk_start, chunk_end); + + for (start, end) in slices { + if produced < offset { + produced += 1; + continue; + } + if hits.len() == effective_top_k { + break; + } + let local_start = start.min(chunk_bytes.len()); + let local_end = end.min(chunk_bytes.len()); + if local_end <= local_start { + produced += 1; + continue; + } + let matches_in_slice = occurrences + .iter() + .filter(|(s, e)| *s >= local_start && *e <= local_end) + .count() + .max(1); + let metadata = SearchHitMetadata { + matches: matches_in_slice, + tags: frame_meta.tags.clone(), + labels: frame_meta.labels.clone(), + track: frame_meta.track.clone(), + created_at: timestamp_to_rfc3339(frame_meta.timestamp), + content_dates: frame_meta.content_dates.clone(), + entities: Vec::new(), + extra_metadata: frame_meta.extra_metadata.clone(), + #[cfg(feature = "temporal_track")] + temporal: None, + }; + let global_start = chunk_start + local_start; + let global_end = chunk_start + local_end; + if global_end <= global_start { + produced += 1; + continue; + } + let snippet_text = chunk_text[local_start..local_end].to_string(); + hits.push(SearchHit { + rank: hits.len() + 1, + frame_id: hit.frame_id, + uri: uri.clone(), + title: title.clone(), + range: (global_start, global_end), + text: snippet_text, + matches: matches_in_slice, + chunk_range: Some(chunk_range), + chunk_text: Some(chunk_text.clone()), + score: Some(hit.score), + metadata: Some(metadata), + }); + produced += 1; + } + } + + let next_cursor = if produced < total_slices { + Some(produced.to_string()) + } else { + None + }; + #[cfg(feature = "temporal_track")] + attach_temporal_metadata(memvid, &mut hits)?; + let elapsed_ms = start_time.elapsed().as_millis().max(1); + let context = build_context(&hits); + + Ok(Some(SearchResponse { + query: request.query.clone(), + elapsed_ms, + total_hits: total_slices, + params: params.clone(), + hits, + context, + next_cursor, + engine: SearchEngineKind::Tantivy, + stale_index_skips: stale_skips, + })) +} + +fn uri_matches(candidate: Option<&str>, expected: &str) -> bool { + let Some(uri) = candidate else { + return false; + }; + if expected.contains('#') { + uri.eq_ignore_ascii_case(expected) + } else { + let expected_lower = expected.to_ascii_lowercase(); + let candidate_lower = uri.to_ascii_lowercase(); + candidate_lower.starts_with(&expected_lower) + } +} + +/// Parse content dates (from frame metadata) to find the most relevant timestamp. +/// Content dates are strings like "2023/06/30 (Fri) 14:20", ISO dates, or spelled-out dates. +/// Returns the most recent timestamp found, or None if parsing fails. +#[must_use] +pub fn parse_content_date_to_timestamp(content_dates: &[String]) -> Option { + if content_dates.is_empty() { + return None; + } + + let mut best_ts: Option = None; + + for date_str in content_dates { + // Try to parse format "YYYY/MM/DD (Day) HH:MM" -> "2023/06/30 (Fri) 14:20" + if let Some(ts) = parse_custom_date_format(date_str) { + best_ts = Some(best_ts.map_or(ts, |prev| prev.max(ts))); + continue; + } + + // Try ISO format + if let Ok(dt) = chrono::DateTime::parse_from_rfc3339(date_str) { + let ts = dt.timestamp(); + best_ts = Some(best_ts.map_or(ts, |prev| prev.max(ts))); + continue; + } + + // Try simple YYYY-MM-DD + if let Ok(date) = chrono::NaiveDate::parse_from_str(date_str, "%Y-%m-%d") { + let ts = date + .and_hms_opt(0, 0, 0) + .map_or(0, |dt| dt.and_utc().timestamp()); + if ts > 0 { + best_ts = Some(best_ts.map_or(ts, |prev| prev.max(ts))); + continue; + } + } + + // Try spelled-out dates: "September 1, 2024" or "Sept 10, 2024" + if let Some(ts) = parse_spelled_date(date_str) { + best_ts = Some(best_ts.map_or(ts, |prev| prev.max(ts))); + continue; + } + + // Try European format: "1 September 2024" + if let Some(ts) = parse_euro_date(date_str) { + best_ts = Some(best_ts.map_or(ts, |prev| prev.max(ts))); + continue; + } + + // Try year-only: "2024" -> January 1, 2024 + // Only accept reasonable years (1900-2100) to avoid matching employee IDs like "2044" + if let Ok(year) = date_str.trim().parse::() { + if (1900..=2100).contains(&year) { + if let Some(date) = chrono::NaiveDate::from_ymd_opt(year, 1, 1) { + let ts = date + .and_hms_opt(0, 0, 0) + .map_or(0, |dt| dt.and_utc().timestamp()); + if ts > 0 { + best_ts = Some(best_ts.map_or(ts, |prev| prev.max(ts))); + } + } + } + } + } + + best_ts +} + +/// Parse spelled-out date like "September 1, 2024" or "Sept 10, 2024" or "September 1st, 2024" +fn parse_spelled_date(s: &str) -> Option { + // Normalize whitespace: replace newlines and multiple spaces with single space + // PDF extraction can produce "September\n1,\n2024" instead of "September 1, 2024" + let normalized: String = s.split_whitespace().collect::>().join(" "); + + // Strip ordinal suffixes (1st, 2nd, 3rd, 4th, etc.) + let without_ordinals = strip_ordinal_suffixes(&normalized); + + // Common formats: "September 1, 2024", "Sept 10, 2024", "March 15 2024" + let formats = [ + "%B %d, %Y", // September 1, 2024 + "%B %d %Y", // September 1 2024 + "%b %d, %Y", // Sep 1, 2024 + "%b %d %Y", // Sep 1 2024 + ]; + + for fmt in &formats { + if let Ok(date) = chrono::NaiveDate::parse_from_str(&without_ordinals, fmt) { + return date.and_hms_opt(0, 0, 0).map(|dt| dt.and_utc().timestamp()); + } + } + None +} + +/// Strip ordinal suffixes from day numbers: "1st" -> "1", "2nd" -> "2", etc. +fn strip_ordinal_suffixes(s: &str) -> String { + static ORDINAL_RE: std::sync::LazyLock = + std::sync::LazyLock::new(|| regex::Regex::new(r"(\d+)(?:st|nd|rd|th)\b").unwrap()); + ORDINAL_RE.replace_all(s, "$1").to_string() +} + +/// Parse European date like "1 September 2024" or "1st September 2024" +fn parse_euro_date(s: &str) -> Option { + // Normalize whitespace for PDF-extracted dates + let normalized: String = s.split_whitespace().collect::>().join(" "); + + // Strip ordinal suffixes (1st, 2nd, 3rd, 4th, etc.) + let without_ordinals = strip_ordinal_suffixes(&normalized); + + let formats = [ + "%d %B %Y", // 1 September 2024 + "%d %b %Y", // 1 Sep 2024 + ]; + + for fmt in &formats { + if let Ok(date) = chrono::NaiveDate::parse_from_str(&without_ordinals, fmt) { + return date.and_hms_opt(0, 0, 0).map(|dt| dt.and_utc().timestamp()); + } + } + None +} + +/// Parse custom date format "YYYY/MM/DD (Day) HH:MM" to timestamp +fn parse_custom_date_format(s: &str) -> Option { + // Format: "2023/06/30 (Fri) 14:20" + // We'll extract: 2023, 06, 30, 14, 20 + + let parts: Vec<&str> = s.split_whitespace().collect(); + if parts.is_empty() { + return None; + } + + // First part should be date: "2023/06/30" + let date_parts: Vec<&str> = parts[0].split('/').collect(); + if date_parts.len() != 3 { + return None; + } + + let year: i32 = date_parts[0].parse().ok()?; + let month: u32 = date_parts[1].parse().ok()?; + let day: u32 = date_parts[2].parse().ok()?; + + // Look for time part (HH:MM) + let (hour, minute) = if parts.len() >= 3 { + // Skip "(Day)" part, get time + let time_str = parts.iter().find(|p| p.contains(':'))?; + let time_parts: Vec<&str> = time_str.split(':').collect(); + if time_parts.len() >= 2 { + ( + time_parts[0].parse::().ok()?, + time_parts[1].parse::().ok()?, + ) + } else { + (0, 0) + } + } else { + (0, 0) + }; + + let date = chrono::NaiveDate::from_ymd_opt(year, month, day)?; + let datetime = date.and_hms_opt(hour, minute, 0)?; + Some(datetime.and_utc().timestamp()) +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_parse_spelled_date_with_newlines() { + // PDF extraction produces dates with newlines + let date_with_newlines = "September\n1,\n2024"; + let ts = parse_spelled_date(date_with_newlines); + assert!(ts.is_some(), "Should parse date with newlines"); + + // Verify it's September 1, 2024 (UTC timestamp) + let expected = chrono::NaiveDate::from_ymd_opt(2024, 9, 1) + .unwrap() + .and_hms_opt(0, 0, 0) + .unwrap() + .and_utc() + .timestamp(); + assert_eq!(ts.unwrap(), expected); + } + + #[test] + fn test_parse_content_date_picks_most_recent() { + // Test that we pick the most recent date from multiple options + let dates = vec![ + "2024".to_string(), // year only + "September\n1,\n2024".to_string(), // spelled out with newlines + ]; + let ts = parse_content_date_to_timestamp(&dates); + assert!(ts.is_some(), "Should parse at least one date"); + + // September 1, 2024 should be more recent than just "2024" (Jan 1, 2024) + let sept_ts = chrono::NaiveDate::from_ymd_opt(2024, 9, 1) + .unwrap() + .and_hms_opt(0, 0, 0) + .unwrap() + .and_utc() + .timestamp(); + assert_eq!(ts.unwrap(), sept_ts); + } + + #[test] + fn test_parse_ordinal_dates() { + // Test ordinal suffixes: 1st, 2nd, 3rd, 4th, etc. + let ts1 = parse_spelled_date("September 1st, 2024"); + assert!(ts1.is_some(), "Should parse 'September 1st, 2024'"); + + let ts2 = parse_spelled_date("March 22nd, 2024"); + assert!(ts2.is_some(), "Should parse 'March 22nd, 2024'"); + + let ts3 = parse_euro_date("3rd October 2024"); + assert!(ts3.is_some(), "Should parse '3rd October 2024'"); + + // Verify correct day is parsed + let expected = chrono::NaiveDate::from_ymd_opt(2024, 9, 1) + .unwrap() + .and_hms_opt(0, 0, 0) + .unwrap() + .and_utc() + .timestamp(); + assert_eq!(ts1.unwrap(), expected); + } +} diff --git a/src/memvid/search/time_filter.rs b/src/memvid/search/time_filter.rs new file mode 100644 index 0000000..5503f49 --- /dev/null +++ b/src/memvid/search/time_filter.rs @@ -0,0 +1,347 @@ +use crate::Result; +use crate::io::time_index::read_track as time_index_read; +use crate::memvid::lifecycle::Memvid; + +#[cfg(feature = "temporal_track")] +use crate::MemvidError; +#[cfg(feature = "temporal_track")] +use crate::analysis::temporal::{ + TemporalContext, TemporalNormalizer, TemporalResolution, TemporalResolutionValue, +}; +#[cfg(feature = "temporal_track")] +use crate::types::{TemporalFilter, TemporalMention, TemporalMentionKind}; +#[cfg(feature = "temporal_track")] +use std::collections::{HashMap, HashSet}; +#[cfg(feature = "temporal_track")] +use time::{Date, OffsetDateTime, Time, UtcOffset}; + +pub(super) fn frame_ids_in_date_range( + memvid: &mut Memvid, + range: &crate::search::DateRange, +) -> Result>> { + if range.is_empty() { + return Ok(Some(Vec::new())); + } + #[cfg(feature = "temporal_track")] + if let Some(track) = memvid.temporal_track_ref()? { + if track.capabilities().has_anchors { + let ids: Vec = track + .anchors + .iter() + .filter(|anchor| range.contains(anchor.anchor_ts)) + .map(|anchor| anchor.frame_id) + .collect(); + if !ids.is_empty() { + return Ok(Some(ids)); + } + } + } + let manifest = match &memvid.toc.time_index { + Some(manifest) => manifest.clone(), + None => return Ok(None), + }; + let entries = time_index_read( + &mut memvid.file, + manifest.bytes_offset, + manifest.bytes_length, + )?; + let mut ids = Vec::new(); + for entry in entries { + if range.contains(entry.timestamp) { + ids.push(entry.frame_id); + } + } + Ok(Some(ids)) +} + +#[cfg(feature = "temporal_track")] +pub fn frame_ids_for_temporal_filter( + memvid: &mut Memvid, + filter: &TemporalFilter, +) -> Result>> { + if filter.is_empty() { + return Ok(None); + } + + let Some(bounds) = resolve_temporal_bounds(filter)? else { + return Ok(None); + }; + + if let (Some(start), Some(end)) = (bounds.start, bounds.end) { + if start > end { + return Ok(Some(Vec::new())); + } + } + + if let Some(track) = memvid.temporal_track_ref()? { + let capabilities = track.capabilities(); + if capabilities.has_mentions { + let ids = frame_ids_from_mentions(&track.mentions, &bounds); + if !ids.is_empty() || !capabilities.has_anchors { + return Ok(Some(ids)); + } + } + if capabilities.has_anchors { + let ids = frame_ids_from_anchors(&track.anchors, &bounds); + return Ok(Some(ids)); + } + } + + let fallback = crate::search::DateRange { + start: bounds.start, + end: bounds.end, + }; + frame_ids_in_date_range(memvid, &fallback) +} + +#[cfg(feature = "temporal_track")] +#[derive(Clone, Copy, Debug)] +struct Bounds { + start: Option, + end: Option, +} + +#[cfg(feature = "temporal_track")] +impl Bounds { + fn new(start: Option, end: Option) -> Self { + Self { start, end } + } + + fn intersect(self, other: Bounds) -> Option { + let start = match (self.start, other.start) { + (Some(a), Some(b)) => Some(a.max(b)), + (Some(a), None) => Some(a), + (None, Some(b)) => Some(b), + (None, None) => None, + }; + let end = match (self.end, other.end) { + (Some(a), Some(b)) => Some(a.min(b)), + (Some(a), None) => Some(a), + (None, Some(b)) => Some(b), + (None, None) => None, + }; + if let (Some(s), Some(e)) = (start, end) { + if s > e { + return None; + } + } + Some(Bounds { start, end }) + } + + fn contains(&self, ts: i64) -> bool { + if let Some(start) = self.start { + if ts < start { + return false; + } + } + if let Some(end) = self.end { + if ts > end { + return false; + } + } + true + } + + fn overlaps(&self, start: i64, end: i64) -> bool { + let range_start = start.min(end); + let range_end = start.max(end); + let window_start = self.start.unwrap_or(i64::MIN); + let window_end = self.end.unwrap_or(i64::MAX); + range_end >= window_start && range_start <= window_end + } +} + +#[cfg(feature = "temporal_track")] +fn resolve_temporal_bounds(filter: &TemporalFilter) -> Result> { + let mut bounds = if filter.start_utc.is_some() || filter.end_utc.is_some() { + Some(Bounds::new(filter.start_utc, filter.end_utc)) + } else { + None + }; + + if let Some(phrase_bounds) = resolve_phrase_bounds(filter)? { + bounds = match bounds { + Some(existing) => existing.intersect(phrase_bounds), + None => Some(phrase_bounds), + }; + if bounds.is_none() { + return Ok(Some(Bounds::new(Some(1), Some(0)))); + } + } + + Ok(bounds) +} + +#[cfg(feature = "temporal_track")] +fn resolve_phrase_bounds(filter: &TemporalFilter) -> Result> { + let phrase = match filter + .phrase + .as_ref() + .map(|value| value.trim()) + .filter(|value| !value.is_empty()) + { + Some(value) => value, + None => return Ok(None), + }; + + let offset = parse_utc_offset(filter.tz.as_deref())?; + let anchor = OffsetDateTime::now_utc().to_offset(offset); + let context = TemporalContext::new(anchor, filter.tz.clone().unwrap_or_else(|| "UTC".into())); + let normalizer = TemporalNormalizer::new(context); + let resolution = normalizer.resolve(phrase)?; + let bounds = resolution_to_bounds(&resolution)?; + Ok(Some(bounds)) +} + +#[cfg(feature = "temporal_track")] +fn resolution_to_bounds(resolution: &TemporalResolution) -> Result { + match &resolution.value { + TemporalResolutionValue::Date(date) => { + let ts = date_to_timestamp(*date); + Ok(Bounds::new(Some(ts), Some(ts))) + } + TemporalResolutionValue::DateTime(dt) => { + let ts = dt.unix_timestamp(); + Ok(Bounds::new(Some(ts), Some(ts))) + } + TemporalResolutionValue::DateRange { start, end } => { + let start_ts = date_to_timestamp(*start); + let end_ts = date_to_timestamp(*end); + Ok(Bounds::new(Some(start_ts), Some(end_ts))) + } + TemporalResolutionValue::DateTimeRange { start, end } => Ok(Bounds::new( + Some(start.unix_timestamp()), + Some(end.unix_timestamp()), + )), + TemporalResolutionValue::Month { year, month } => { + let start_date = Date::from_calendar_date(*year, *month, 1).map_err(|_| { + MemvidError::InvalidQuery { + reason: "invalid month in temporal resolution".into(), + } + })?; + let end_date = last_day_in_month(*year, *month); + Ok(Bounds::new( + Some(date_to_timestamp(start_date)), + Some(date_to_timestamp(end_date)), + )) + } + } +} + +#[cfg(feature = "temporal_track")] +fn parse_utc_offset(spec: Option<&str>) -> Result { + let Some(value) = spec.filter(|s| !s.trim().is_empty()) else { + return Ok(UtcOffset::UTC); + }; + let trimmed = value.trim(); + if trimmed.eq_ignore_ascii_case("utc") || trimmed.eq_ignore_ascii_case("z") { + return Ok(UtcOffset::UTC); + } + if let Some(stripped) = trimmed + .strip_prefix('+') + .or_else(|| trimmed.strip_prefix('-')) + { + let sign = if trimmed.starts_with('-') { -1 } else { 1 }; + let digits: String = stripped.chars().filter(|c| c.is_ascii_digit()).collect(); + if digits.len() == 2 || digits.len() == 4 { + let hours: i32 = digits[0..2] + .parse() + .map_err(|_| MemvidError::InvalidQuery { + reason: format!("invalid timezone offset: {value}"), + })?; + let minutes: i32 = if digits.len() == 4 { + digits[2..4] + .parse() + .map_err(|_| MemvidError::InvalidQuery { + reason: format!("invalid timezone offset: {value}"), + })? + } else { + 0 + }; + let total_minutes = sign * (hours * 60 + minutes); + return UtcOffset::from_whole_seconds(total_minutes * 60).map_err(|_| { + MemvidError::InvalidQuery { + reason: format!("invalid timezone offset: {value}"), + } + }); + } + } + Err(MemvidError::InvalidQuery { + reason: format!("unsupported timezone specifier: {value}"), + }) +} + +#[cfg(feature = "temporal_track")] +fn frame_ids_from_mentions(mentions: &[TemporalMention], bounds: &Bounds) -> Vec { + if mentions.is_empty() { + return Vec::new(); + } + + let mut frames = HashSet::new(); + let mut ranges: HashMap<(u64, u32, u32), Vec> = HashMap::new(); + + for mention in mentions { + let key = (mention.frame_id, mention.byte_start, mention.byte_len); + match mention.kind { + TemporalMentionKind::RangeStart => { + ranges.entry(key).or_default().push(mention.ts_utc); + if bounds.contains(mention.ts_utc) { + frames.insert(mention.frame_id); + } + } + TemporalMentionKind::RangeEnd => { + let mut matched = false; + if let Some(starts) = ranges.get_mut(&key) { + if let Some(start_ts) = starts.pop() { + if bounds.overlaps(start_ts, mention.ts_utc) { + frames.insert(mention.frame_id); + matched = true; + } + } + if starts.is_empty() { + ranges.remove(&key); + } + } + if !matched && bounds.contains(mention.ts_utc) { + frames.insert(mention.frame_id); + } + } + _ => { + if bounds.contains(mention.ts_utc) { + frames.insert(mention.frame_id); + } + } + } + } + + frames.into_iter().collect() +} + +#[cfg(feature = "temporal_track")] +fn frame_ids_from_anchors(anchors: &[crate::TemporalAnchor], bounds: &Bounds) -> Vec { + anchors + .iter() + .filter(|anchor| bounds.contains(anchor.anchor_ts)) + .map(|anchor| anchor.frame_id) + .collect() +} + +#[cfg(feature = "temporal_track")] +fn date_to_timestamp(date: Date) -> i64 { + time::PrimitiveDateTime::new(date, Time::MIDNIGHT) + .assume_offset(UtcOffset::UTC) + .unix_timestamp() +} + +#[cfg(feature = "temporal_track")] +fn last_day_in_month(year: i32, month: time::Month) -> Date { + let mut date = Date::from_calendar_date(year, month, 1).expect("valid month"); + while let Some(next) = date.next_day() { + if next.month() == month { + date = next; + } else { + break; + } + } + date +} diff --git a/src/memvid/segments.rs b/src/memvid/segments.rs new file mode 100644 index 0000000..c480d24 --- /dev/null +++ b/src/memvid/segments.rs @@ -0,0 +1,740 @@ +use std::io::{Read, Seek, SeekFrom, Write}; + +#[cfg(feature = "lex")] +use std::collections::{HashMap, HashSet}; + +use crate::lex::{LexIndexArtifact, LexIndexBuilder}; +#[cfg(feature = "lex")] +use crate::types::TantivySegmentDescriptor; +use crate::types::{ + FrameId, FrameRole, FrameStatus, LexSegmentDescriptor, SegmentCommon, TimeSegmentDescriptor, + VecSegmentDescriptor, VectorCompression, +}; +use crate::vec::{VecIndexArtifact, VecIndexBuilder}; +use crate::vec_pq::{QuantizedVecIndexArtifact, QuantizedVecIndexBuilder}; +use crate::{MemvidError, Result, TimeIndexEntry, time_index_append}; +#[cfg(feature = "temporal_track")] +use crate::{ + TEMPORAL_TRACK_FLAG_HAS_ANCHORS, TEMPORAL_TRACK_FLAG_HAS_MENTIONS, TemporalAnchor, + TemporalMention, temporal_track_append, +}; +use std::io::Cursor; + +use super::lifecycle::Memvid; + +#[cfg(feature = "lex")] +use crate::search::{EmbeddedLexSegment, TantivySnapshot}; + +/// Minimum number of vectors required to use Product Quantization. +/// Below this threshold, we fall back to uncompressed vectors. +/// PQ requires training k-means on many vectors to learn good codebooks. +const MIN_VECTORS_FOR_PQ: usize = 100; + +#[derive(Debug)] +pub(crate) struct LexSegmentArtifact { + pub bytes: Vec, + pub doc_count: u64, + pub checksum: [u8; 32], +} + +#[derive(Debug)] +pub(crate) struct VecSegmentArtifact { + pub bytes: Vec, + pub vector_count: u64, + pub dimension: u32, + pub checksum: [u8; 32], + pub compression: VectorCompression, + #[cfg(feature = "parallel_segments")] + pub bytes_uncompressed: u64, +} + +#[derive(Debug)] +pub(crate) struct TimeSegmentArtifact { + pub bytes: Vec, + pub entry_count: u64, + pub checksum: [u8; 32], +} + +#[cfg(feature = "temporal_track")] +#[derive(Debug)] +pub(crate) struct TemporalSegmentArtifact { + pub bytes: Vec, + pub entry_count: u64, + pub anchor_count: u64, + pub checksum: [u8; 32], + pub flags: u32, +} + +#[cfg(feature = "lex")] +#[derive(Debug, Clone)] +#[allow(dead_code)] +pub(crate) struct TantivySegmentArtifact { + pub path: String, + pub bytes: Vec, + pub checksum: [u8; 32], +} + +#[cfg(feature = "lex")] +#[derive(Debug, Clone, Default)] +#[allow(dead_code)] +pub(crate) struct TantivySegmentDeltaEntry { + pub path: String, + pub existing: Option, + pub artifact: Option, +} + +#[cfg(feature = "lex")] +#[derive(Debug, Clone, Default)] +#[allow(dead_code)] +pub(crate) struct TantivySnapshotDelta { + pub doc_count: u64, + pub checksum: [u8; 32], + pub entries: Vec, + pub removed_paths: Vec, +} + +impl Memvid { + pub(crate) fn build_lex_segment_from_frames( + &mut self, + frame_ids: &[FrameId], + ) -> Result> { + if frame_ids.is_empty() || !self.lex_enabled { + return Ok(None); + } + + let mut builder = LexIndexBuilder::new(); + let empty_tags = std::collections::HashMap::new(); + for frame_id in frame_ids { + let frame = self + .toc + .frames + .get(usize::try_from(*frame_id).unwrap_or(0)) + .cloned() + .ok_or(MemvidError::InvalidFrame { + frame_id: *frame_id, + reason: "frame id out of range for lex segment", + })?; + + if frame.status != FrameStatus::Active { + continue; + } + if frame.role != FrameRole::Document && frame.role != FrameRole::DocumentChunk { + continue; + } + + // Use search_text if available (covers no_raw mode), otherwise fall back to content + let content = if let Some(ref text) = frame.search_text { + if text.trim().is_empty() { + self.frame_content(&frame)? + } else { + text.clone() + } + } else { + self.frame_content(&frame)? + }; + if content.trim().is_empty() { + continue; + } + let uri = frame + .uri + .clone() + .unwrap_or_else(|| crate::default_uri(frame.id)); + builder.add_document( + frame.id, + &uri, + frame.title.as_deref(), + &content, + &empty_tags, + ); + } + + let LexIndexArtifact { + bytes, + doc_count, + checksum, + } = builder.finish()?; + if doc_count == 0 { + return Ok(None); + } + Ok(Some(LexSegmentArtifact { + bytes, + doc_count, + checksum, + })) + } + + pub(crate) fn build_vec_segment_from_embeddings( + &self, + embeddings: &[(FrameId, Vec)], + ) -> Result> { + if embeddings.is_empty() || !self.vec_enabled { + return Ok(None); + } + + // Determine vector dimension and validate all provided embeddings are consistent. + let mut dimension: Option = None; + let mut non_empty_count = 0usize; + for (_frame_id, vector) in embeddings { + if vector.is_empty() { + continue; + } + non_empty_count = non_empty_count.saturating_add(1); + let vec_dim = u32::try_from(vector.len()).unwrap_or(0); + match dimension { + None => dimension = Some(vec_dim), + Some(existing) if existing == vec_dim => {} + Some(existing) => { + return Err(MemvidError::VecDimensionMismatch { + expected: existing, + actual: vector.len(), + }); + } + } + } + let Some(dimension) = dimension else { + // All embeddings were empty. + return Ok(None); + }; + + // Determine effective compression: use uncompressed if below PQ threshold + let effective_compression = match &self.vec_compression { + VectorCompression::Pq96 if non_empty_count < MIN_VECTORS_FOR_PQ => { + // Fall back to uncompressed for small vector counts + VectorCompression::None + } + other => other.clone(), + }; + + match effective_compression { + VectorCompression::None => { + // Uncompressed path - use regular VecIndexBuilder + let mut builder = VecIndexBuilder::new(); + for (frame_id, vector) in embeddings { + if vector.is_empty() { + continue; + } + builder.add_document(*frame_id, vector.clone()); + } + + let VecIndexArtifact { + bytes, + vector_count, + dimension: artifact_dimension, + checksum, + #[cfg(feature = "parallel_segments")] + bytes_uncompressed, + } = builder.finish()?; + + if vector_count == 0 { + return Ok(None); + } + + Ok(Some(VecSegmentArtifact { + bytes, + vector_count, + dimension: artifact_dimension.max(dimension), + checksum, + compression: VectorCompression::None, + #[cfg(feature = "parallel_segments")] + bytes_uncompressed, + })) + } + VectorCompression::Pq96 => { + // Compressed path - use QuantizedVecIndexBuilder + let mut builder = QuantizedVecIndexBuilder::new(); + + // Collect all vectors for training + let mut training_vectors = Vec::new(); + for (_frame_id, vector) in embeddings { + if vector.is_empty() { + continue; + } + training_vectors.push(vector.clone()); + } + + if training_vectors.is_empty() { + return Ok(None); + } + + // Train the quantizer on all vectors + builder.train_quantizer(&training_vectors, dimension)?; + + // Add all documents + for (frame_id, vector) in embeddings { + if vector.is_empty() { + continue; + } + builder.add_document(*frame_id, vector.clone())?; + } + + let QuantizedVecIndexArtifact { + bytes, + vector_count, + dimension: artifact_dimension, + checksum, + compression_ratio: _, + } = builder.finish()?; + + if vector_count == 0 { + return Ok(None); + } + + Ok(Some(VecSegmentArtifact { + bytes, + vector_count, + dimension: artifact_dimension.max(dimension), + checksum, + compression: VectorCompression::Pq96, + #[cfg(feature = "parallel_segments")] + bytes_uncompressed: 0, // PQ doesn't track uncompressed size + })) + } + } + } + + pub(crate) fn append_lex_segment( + &mut self, + artifact: &LexSegmentArtifact, + segment_id: u64, + ) -> Result { + if artifact.doc_count == 0 || artifact.bytes.is_empty() { + return Err(MemvidError::CheckpointFailed { + reason: "lex segment artifact empty".into(), + }); + } + + let offset = self.data_end; + let new_end = offset + artifact.bytes.len() as u64; + + // Write at current data_end + self.file.seek(SeekFrom::Start(offset))?; + self.file.write_all(&artifact.bytes)?; + self.file.sync_all()?; + self.data_end = new_end; + + let common = SegmentCommon::new( + segment_id, + offset, + artifact.bytes.len() as u64, + artifact.checksum, + ); + Ok(LexSegmentDescriptor::from_common( + common, + artifact.doc_count, + )) + } + + pub(crate) fn append_vec_segment( + &mut self, + artifact: &VecSegmentArtifact, + segment_id: u64, + ) -> Result { + if artifact.vector_count == 0 || artifact.bytes.is_empty() { + return Err(MemvidError::CheckpointFailed { + reason: "vec segment artifact empty".into(), + }); + } + + let offset = self.data_end; + let new_end = offset + artifact.bytes.len() as u64; + + // Seek to write position + self.file.seek(SeekFrom::Start(offset))?; + + // Write the actual data + self.file.write_all(&artifact.bytes)?; + self.file.sync_all()?; + + // VERIFY: Read back the first few bytes to confirm write persisted + self.file.seek(SeekFrom::Start(offset))?; + let mut verify_buf = vec![0u8; 16.min(artifact.bytes.len())]; + self.file.read_exact(&mut verify_buf)?; + let expected = &artifact.bytes[..verify_buf.len()]; + if verify_buf != expected { + return Err(MemvidError::CheckpointFailed { + reason: format!("vec segment write verification failed at offset {offset}"), + }); + } + + self.data_end = new_end; + + let common = SegmentCommon::new( + segment_id, + offset, + artifact.bytes.len() as u64, + artifact.checksum, + ); + + tracing::debug!( + segment_id = common.segment_id, + artifact_compression = ?artifact.compression, + vector_count = artifact.vector_count, + bytes_len = common.bytes_length, + "created vec segment descriptor" + ); + + Ok(VecSegmentDescriptor::from_common( + common, + artifact.vector_count, + artifact.dimension, + artifact.compression.clone(), + )) + } + + pub(crate) fn build_time_segment_from_entries( + &self, + entries: &[TimeIndexEntry], + ) -> Result> { + if entries.is_empty() { + return Ok(None); + } + + let mut sorted_entries = entries.to_owned(); + sorted_entries.sort_by_key(|entry| (entry.timestamp, entry.frame_id)); + + let mut cursor = Cursor::new(Vec::new()); + let (_, _length, checksum) = time_index_append(&mut cursor, &mut sorted_entries)?; + let bytes = cursor.into_inner(); + if bytes.is_empty() { + return Ok(None); + } + + Ok(Some(TimeSegmentArtifact { + bytes, + entry_count: sorted_entries.len() as u64, + checksum, + })) + } + + #[cfg(feature = "temporal_track")] + pub(crate) fn build_temporal_segment_from_records( + &self, + mentions: &[TemporalMention], + anchors: &[TemporalAnchor], + ) -> Result> { + if mentions.is_empty() && anchors.is_empty() { + return Ok(None); + } + + #[cfg(test)] + println!( + "build_temporal_segment_from_records: mentions={}, anchors={}", + mentions.len(), + anchors.len() + ); + + let mut mention_vec = mentions.to_vec(); + let mut anchor_vec = anchors.to_vec(); + mention_vec.sort_by_key(|m| (m.ts_utc, m.frame_id, m.byte_start)); + anchor_vec.sort_by_key(|a| a.frame_id); + + let mut flags = 0; + if !anchor_vec.is_empty() { + flags |= TEMPORAL_TRACK_FLAG_HAS_ANCHORS; + } + if !mention_vec.is_empty() { + flags |= TEMPORAL_TRACK_FLAG_HAS_MENTIONS; + } + + let mut cursor = Cursor::new(Vec::new()); + let (_, _length, checksum) = + temporal_track_append(&mut cursor, &mut mention_vec, &mut anchor_vec, flags)?; + let bytes = cursor.into_inner(); + if bytes.is_empty() { + return Ok(None); + } + + Ok(Some(TemporalSegmentArtifact { + bytes, + entry_count: mention_vec.len() as u64, + anchor_count: anchor_vec.len() as u64, + checksum, + flags, + })) + } + + pub(crate) fn append_time_segment( + &mut self, + artifact: &TimeSegmentArtifact, + segment_id: u64, + ) -> Result { + if artifact.entry_count == 0 || artifact.bytes.is_empty() { + return Err(MemvidError::CheckpointFailed { + reason: "time segment artifact empty".into(), + }); + } + + let offset = self.data_end; + let new_end = offset + artifact.bytes.len() as u64; + + // Write at current data_end + self.file.seek(SeekFrom::Start(offset))?; + self.file.write_all(&artifact.bytes)?; + self.file.sync_all()?; + self.data_end = new_end; + + let common = SegmentCommon::new( + segment_id, + offset, + artifact.bytes.len() as u64, + artifact.checksum, + ); + Ok(TimeSegmentDescriptor::from_common( + common, + artifact.entry_count, + )) + } + + #[cfg(feature = "temporal_track")] + pub(crate) fn append_temporal_segment( + &mut self, + artifact: &TemporalSegmentArtifact, + segment_id: u64, + ) -> Result { + if artifact.entry_count == 0 && artifact.anchor_count == 0 { + return Err(MemvidError::CheckpointFailed { + reason: "temporal segment artifact empty".into(), + }); + } + + let offset = self.data_end; + self.file.seek(SeekFrom::Start(offset))?; + self.file.write_all(&artifact.bytes)?; + self.file.flush()?; + self.data_end = offset + artifact.bytes.len() as u64; + + let common = SegmentCommon::new( + segment_id, + offset, + artifact.bytes.len() as u64, + artifact.checksum, + ); + Ok(crate::types::TemporalSegmentDescriptor::from_common( + common, + artifact.entry_count, + artifact.anchor_count, + artifact.flags, + )) + } + + #[cfg(feature = "lex")] + #[allow(dead_code)] + pub(crate) fn append_tantivy_segment( + &mut self, + artifact: &TantivySegmentArtifact, + segment_id: u64, + ) -> Result { + if artifact.bytes.is_empty() { + return Err(MemvidError::CheckpointFailed { + reason: format!("tantivy segment artifact '{}' empty", artifact.path), + }); + } + + let offset = self.data_end; + self.file.seek(SeekFrom::Start(offset))?; + self.file.write_all(&artifact.bytes)?; + self.file.flush()?; + self.data_end = offset + artifact.bytes.len() as u64; + + let common = SegmentCommon::new( + segment_id, + offset, + artifact.bytes.len() as u64, + artifact.checksum, + ); + Ok(TantivySegmentDescriptor::from_common( + common, + artifact.path.clone(), + )) + } + + #[cfg(feature = "lex")] + pub(crate) fn derive_tantivy_snapshot_delta( + &self, + snapshot: TantivySnapshot, + ) -> TantivySnapshotDelta { + let mut latest: HashMap = HashMap::new(); + for descriptor in &self.toc.segment_catalog.tantivy_segments { + latest + .entry(descriptor.path.clone()) + .and_modify(|existing| { + if descriptor.common.segment_id > existing.common.segment_id { + *existing = descriptor; + } + }) + .or_insert(descriptor); + } + + let mut entries = Vec::with_capacity(snapshot.segments.len()); + let mut present_paths: HashSet = HashSet::with_capacity(snapshot.segments.len()); + + for blob in snapshot.segments { + let path = blob.path.clone(); + let existing = latest + .get(path.as_str()) + .map(|descriptor| (*descriptor).clone()); + let requires_append = existing + .as_ref() + .is_none_or(|descriptor| descriptor.common.checksum != blob.checksum); + + let artifact = if requires_append { + Some(TantivySegmentArtifact { + path: path.clone(), + bytes: blob.bytes, + checksum: blob.checksum, + }) + } else { + None + }; + + entries.push(TantivySegmentDeltaEntry { + path: path.clone(), + existing, + artifact, + }); + present_paths.insert(path); + } + + let removed_paths = latest + .keys() + .filter(|path| !present_paths.contains(path.as_str())) + .cloned() + .collect(); + + TantivySnapshotDelta { + doc_count: snapshot.doc_count, + checksum: snapshot.checksum, + entries, + removed_paths, + } + } + + #[cfg(feature = "lex")] + #[allow(dead_code)] + pub(crate) fn publish_tantivy_delta(&mut self) -> Result { + let engine = match self.tantivy.as_mut() { + Some(engine) => engine, + None => return Ok(false), + }; + + let snapshot = engine.snapshot_segments()?; + let delta = self.derive_tantivy_snapshot_delta(snapshot); + + let mut active_descriptors: HashMap = self + .toc + .segment_catalog + .tantivy_segments + .iter() + .map(|descriptor| (descriptor.path.clone(), descriptor.clone())) + .collect(); + + let mut next_segment_id = self.toc.segment_catalog.next_segment_id; + let initial_offset = self.data_end; + let mut changed = false; + + for entry in delta.entries { + if let Some(artifact) = entry.artifact { + if artifact.bytes.is_empty() { + continue; + } + let descriptor = match self.append_tantivy_segment(&artifact, next_segment_id) { + Ok(descriptor) => descriptor, + Err(err) => { + self.data_end = initial_offset; + self.file.set_len(initial_offset)?; + return Err(err); + } + }; + next_segment_id = next_segment_id.saturating_add(1); + active_descriptors.insert(entry.path.clone(), descriptor); + changed = true; + } else if let Some(existing) = entry.existing { + active_descriptors + .entry(entry.path.clone()) + .or_insert(existing); + } + } + + for path in delta.removed_paths { + if active_descriptors.remove(&path).is_some() { + changed = true; + } + } + + let current_doc_count = self + .toc + .indexes + .lex + .as_ref() + .map_or(0, |manifest| manifest.doc_count); + if current_doc_count != delta.doc_count { + changed = true; + } + + let current_checksum = self + .toc + .indexes + .lex + .as_ref() + .map_or([0u8; 32], |manifest| manifest.checksum); + if current_checksum != delta.checksum { + changed = true; + } + + if !changed { + return Ok(false); + } + + let mut descriptors: Vec = + active_descriptors.into_values().collect(); + descriptors.sort_by_key(|descriptor| descriptor.common.segment_id); + + let embedded_segments: Vec = descriptors + .iter() + .map(|descriptor| EmbeddedLexSegment { + path: descriptor.path.clone(), + bytes_offset: descriptor.common.bytes_offset, + bytes_length: descriptor.common.bytes_length, + checksum: descriptor.common.checksum, + }) + .collect(); + + let previous_manifest = self.toc.indexes.lex.clone(); + let (index_manifest, manifest_segments) = { + let mut storage = self.lex_storage.write().map_err(|_| MemvidError::Tantivy { + reason: "embedded lex storage lock poisoned".into(), + })?; + storage.replace(delta.doc_count, delta.checksum, embedded_segments.clone()); + storage.to_manifest() + }; + + if let Some(mut storage_manifest) = index_manifest { + if storage_manifest.bytes_offset == 0 && storage_manifest.bytes_length == 0 { + if let Some(prev) = previous_manifest.as_ref() { + storage_manifest.bytes_offset = prev.bytes_offset; + storage_manifest.bytes_length = prev.bytes_length; + } + } + if let Some(existing) = self.toc.indexes.lex.as_mut() { + existing.doc_count = storage_manifest.doc_count; + existing.generation = storage_manifest.generation; + existing.checksum = storage_manifest.checksum; + if existing.bytes_length == 0 && storage_manifest.bytes_length != 0 { + existing.bytes_offset = storage_manifest.bytes_offset; + existing.bytes_length = storage_manifest.bytes_length; + } + } else { + self.toc.indexes.lex = Some(storage_manifest); + } + } else { + self.toc.indexes.lex = None; + } + self.toc.indexes.lex_segments = manifest_segments; + + self.toc.segment_catalog.tantivy_segments = descriptors; + self.toc.segment_catalog.next_segment_id = next_segment_id; + self.toc.segment_catalog.version = self.toc.segment_catalog.version.max(1); + + Ok(true) + } +} diff --git a/src/memvid/sketch.rs b/src/memvid/sketch.rs new file mode 100644 index 0000000..a1e1010 --- /dev/null +++ b/src/memvid/sketch.rs @@ -0,0 +1,376 @@ +//! Sketch track extensions for `Memvid`. +//! +//! This module provides methods for fast candidate generation using +//! per-frame sketches (`SimHash` + term filters). Sketches enable sub-millisecond +//! candidate filtering before expensive BM25/vector reranking. +//! +//! Key operations: +//! - `insert_sketch`: Add a sketch for a frame +//! - `build_all_sketches`: Generate sketches for all existing frames +//! - `find_sketch_candidates`: Find candidate frames matching a query +//! - `sketch_stats`: Get statistics about the sketch track + +use crate::memvid::lifecycle::Memvid; +use crate::types::{ + DEFAULT_HAMMING_THRESHOLD, FrameId, QuerySketch, SketchEntry, SketchTrack, SketchTrackStats, + SketchVariant, generate_sketch, +}; + +/// Result of a sketch candidate search. +#[derive(Debug, Clone)] +pub struct SketchCandidate { + /// Frame ID. + pub frame_id: FrameId, + /// Sketch score (higher is better, 0.0-1.0). + pub score: f32, + /// Hamming distance from query `SimHash`. + pub hamming_distance: u32, + /// Number of matching top terms. + pub matching_top_terms: usize, +} + +/// Options for sketch candidate search. +#[derive(Debug, Clone)] +pub struct SketchSearchOptions { + /// Maximum Hamming distance to consider (default: 10). + pub hamming_threshold: u32, + /// Maximum number of candidates to return (default: 2000). + pub max_candidates: usize, + /// Minimum score threshold (default: 0.0). + pub min_score: f32, +} + +impl Default for SketchSearchOptions { + fn default() -> Self { + Self { + hamming_threshold: DEFAULT_HAMMING_THRESHOLD, + max_candidates: 2000, + min_score: 0.0, + } + } +} + +/// Detailed statistics from a sketch search. +#[derive(Debug, Clone)] +pub struct SketchSearchStats { + /// Total frames scanned. + pub frames_scanned: usize, + /// Frames passing term filter. + pub term_filter_hits: usize, + /// Frames passing `SimHash` threshold. + pub simhash_hits: usize, + /// Final candidates returned. + pub candidates_returned: usize, + /// Scan time in microseconds. + pub scan_us: u64, +} + +impl Memvid { + /// Get an immutable reference to the sketch track. + #[must_use] + pub fn sketches(&self) -> &SketchTrack { + &self.sketch_track + } + + /// Get a mutable reference to the sketch track. + pub fn sketches_mut(&mut self) -> &mut SketchTrack { + self.dirty = true; + &mut self.sketch_track + } + + /// Check if the sketch track has any entries. + #[must_use] + pub fn has_sketches(&self) -> bool { + !self.sketch_track.is_empty() + } + + /// Get statistics about the sketch track. + #[must_use] + pub fn sketch_stats(&self) -> SketchTrackStats { + self.sketch_track.stats() + } + + /// Insert a sketch for a frame. + /// + /// # Arguments + /// * `frame_id` - The frame ID to create a sketch for + /// * `text` - The text content to sketch (`search_text` or payload) + /// * `variant` - The sketch variant to use (Small recommended) + /// + /// # Returns + /// The generated sketch entry. + pub fn insert_sketch( + &mut self, + frame_id: FrameId, + text: &str, + variant: SketchVariant, + ) -> SketchEntry { + let entry = generate_sketch(frame_id, text, variant, None); + self.sketch_track.insert(entry.clone()); + self.dirty = true; + entry + } + + /// Build sketches for all frames that don't have one yet. + /// + /// This scans all active frames and generates sketches using each frame's + /// `search_text` field. + /// + /// # Arguments + /// * `variant` - The sketch variant to use for new sketches + /// + /// # Returns + /// Number of new sketches generated. + pub fn build_all_sketches(&mut self, variant: SketchVariant) -> usize { + let mut count = 0; + + // Collect frames that need sketches + let frames_to_sketch: Vec<(FrameId, String)> = self + .toc + .frames + .iter() + .filter(|f| f.status == crate::types::FrameStatus::Active) + .filter(|f| self.sketch_track.get(f.id).is_none()) + .filter_map(|f| { + f.search_text + .clone() + .filter(|t| !t.is_empty()) + .map(|text| (f.id, text)) + }) + .collect(); + + for (frame_id, text) in frames_to_sketch { + self.insert_sketch(frame_id, &text, variant); + count += 1; + } + + if count > 0 { + self.dirty = true; + } + + count + } + + /// Find candidate frames matching a query using sketch filtering. + /// + /// This performs a fast two-stage filter: + /// 1. Term filter: reject frames that can't possibly contain query terms + /// 2. `SimHash`: reject frames with large Hamming distance from query + /// + /// Candidates should be reranked with BM25 or vector similarity for final results. + /// + /// # Arguments + /// * `query` - The query text to search for + /// * `options` - Search options (or use default) + /// + /// # Returns + /// List of candidate frames with scores, sorted by score descending. + #[must_use] + pub fn find_sketch_candidates( + &self, + query: &str, + options: Option, + ) -> Vec { + let opts = options.unwrap_or_default(); + + // Build query sketch using same variant as track + let query_sketch = QuerySketch::from_query(query, self.sketch_track.variant); + + // Find candidates + let raw_candidates = self.sketch_track.find_candidates( + &query_sketch, + opts.hamming_threshold, + opts.max_candidates, + ); + + // Convert to SketchCandidate with additional details + raw_candidates + .into_iter() + .filter(|(_, score)| *score >= opts.min_score) + .map(|(frame_id, score)| { + let entry = self.sketch_track.get(frame_id); + let hamming_distance = + entry.map_or(64, |e| e.hamming_distance(query_sketch.simhash)); + let matching_top_terms = + entry.map_or(0, |e| e.count_matching_top_terms(&query_sketch.top_terms)); + + SketchCandidate { + frame_id, + score, + hamming_distance, + matching_top_terms, + } + }) + .collect() + } + + /// Find candidates with detailed statistics for debugging/explain mode. + #[must_use] + pub fn find_sketch_candidates_with_stats( + &self, + query: &str, + options: Option, + ) -> (Vec, SketchSearchStats) { + let start = std::time::Instant::now(); + let opts = options.unwrap_or_default(); + + let query_sketch = QuerySketch::from_query(query, self.sketch_track.variant); + + let frames_scanned = self.sketch_track.len(); + let mut term_filter_hits = 0usize; + let mut simhash_hits = 0usize; + + // Manual scan for stats collection + let mut candidates: Vec<(FrameId, f32)> = Vec::new(); + + for entry in self.sketch_track.iter() { + // Term filter check + if !entry.term_filter_maybe_overlaps(&query_sketch.term_filter) { + continue; + } + term_filter_hits += 1; + + // SimHash check + let hamming = entry.hamming_distance(query_sketch.simhash); + if hamming > opts.hamming_threshold { + continue; + } + simhash_hits += 1; + + // Score + if let Some(score) = query_sketch.score_entry(entry, opts.hamming_threshold) { + if score >= opts.min_score { + candidates.push((entry.frame_id, score)); + } + } + } + + // Sort by score descending + candidates.sort_by(|a, b| b.1.partial_cmp(&a.1).unwrap_or(std::cmp::Ordering::Equal)); + candidates.truncate(opts.max_candidates); + + let candidates_returned = candidates.len(); + + let result: Vec = candidates + .into_iter() + .map(|(frame_id, score)| { + let entry = self.sketch_track.get(frame_id); + let hamming_distance = + entry.map_or(64, |e| e.hamming_distance(query_sketch.simhash)); + let matching_top_terms = + entry.map_or(0, |e| e.count_matching_top_terms(&query_sketch.top_terms)); + + SketchCandidate { + frame_id, + score, + hamming_distance, + matching_top_terms, + } + }) + .collect(); + + let stats = SketchSearchStats { + frames_scanned, + term_filter_hits, + simhash_hits, + candidates_returned, + scan_us: u64::try_from(start.elapsed().as_micros()).unwrap_or(u64::MAX), + }; + + (result, stats) + } +} + +#[cfg(test)] +mod tests { + use super::*; + use tempfile::NamedTempFile; + + #[test] + fn test_sketch_insert_and_query() { + let tmp = NamedTempFile::new().expect("tempfile"); + let path = tmp.path(); + + // Create a new memory + let mut mem = Memvid::create(path).expect("create"); + + // Insert some test sketches + mem.insert_sketch(0, "cats are wonderful pets", SketchVariant::Small); + mem.insert_sketch(1, "dogs are loyal companions", SketchVariant::Small); + mem.insert_sketch(2, "programming in rust language", SketchVariant::Small); + + // Query for cats + let candidates = mem.find_sketch_candidates("cats pets", None); + + // Should find some candidates + assert!(!candidates.is_empty() || !mem.sketches().is_empty()); + } + + #[test] + fn test_sketch_candidate_speed() { + let tmp = NamedTempFile::new().expect("tempfile"); + let path = tmp.path(); + + let mut mem = Memvid::create(path).expect("create"); + + // Insert many sketches for a realistic benchmark + let docs = [ + "machine learning artificial intelligence neural networks deep learning", + "rust programming language memory safety systems programming", + "cloud computing kubernetes containers docker orchestration", + "database optimization indexing query planning performance", + "web development react vue javascript frontend frameworks", + ]; + + for i in 0..1000 { + let doc = docs[i % docs.len()]; + mem.insert_sketch(i as u64, doc, SketchVariant::Small); + } + + // Benchmark: run query with stats + let query = "machine learning neural networks"; + + // Use relaxed threshold (32 instead of default 10) for better recall + let options = Some(SketchSearchOptions { + hamming_threshold: 32, // Half of 64 bits + max_candidates: 100, + min_score: 0.0, + }); + let (candidates, stats) = mem.find_sketch_candidates_with_stats(query, options); + + // Print benchmark results + println!("\n=== Sketch Candidate Benchmark ==="); + println!(" Documents: 1000"); + println!(" Query: \"{}\"", query); + println!(" Scanned: {} entries", stats.frames_scanned); + println!( + " Term hits: {} ({:.1}%)", + stats.term_filter_hits, + stats.term_filter_hits as f64 / stats.frames_scanned as f64 * 100.0 + ); + println!( + " SimHash hits: {} ({:.1}%)", + stats.simhash_hits, + stats.simhash_hits as f64 / stats.frames_scanned as f64 * 100.0 + ); + println!(" Candidates: {}", stats.candidates_returned); + println!( + " Time: {} µs ({:.3} ms)", + stats.scan_us, + stats.scan_us as f64 / 1000.0 + ); + println!( + " Rate: {:.0} docs/sec", + stats.frames_scanned as f64 / (stats.scan_us as f64 / 1_000_000.0) + ); + + assert!( + stats.scan_us < 10_000, + "Sketch scan should complete in <10ms for 1000 docs" + ); + assert!( + candidates.len() <= stats.simhash_hits, + "Candidates should be <= simhash hits" + ); + } +} diff --git a/src/memvid/ticket.rs b/src/memvid/ticket.rs new file mode 100644 index 0000000..f496f31 --- /dev/null +++ b/src/memvid/ticket.rs @@ -0,0 +1,357 @@ +use crate::constants::MEMVID_TICKET_PUBKEY; +use crate::error::{MemvidError, Result}; +use crate::memvid::lifecycle::Memvid; +use crate::signature::{parse_ed25519_public_key_base64, verify_ticket_signature}; +use crate::types::{FrameStatus, SignedTicket, Stats, Ticket, TicketRef}; + +impl Memvid { + pub fn stats(&self) -> Result { + let metadata = self.file.metadata()?; + let mut payload_bytes = 0u64; + let mut logical_bytes = 0u64; + let mut active_frames = 0u64; + + for frame in self + .toc + .frames + .iter() + .filter(|frame| frame.status == FrameStatus::Active) + { + active_frames = active_frames.saturating_add(1); + let stored = frame.payload_length; + payload_bytes = payload_bytes.saturating_add(stored); + if stored > 0 { + let logical = frame.canonical_length.unwrap_or(stored); + logical_bytes = logical_bytes.saturating_add(logical); + } + } + + let saved_bytes = logical_bytes.saturating_sub(payload_bytes); + let round2 = |value: f64| (value * 100.0).round() / 100.0; + let compression_ratio_percent = if logical_bytes > 0 { + round2((payload_bytes as f64 / logical_bytes as f64) * 100.0) + } else { + 100.0 + }; + let savings_percent = if logical_bytes > 0 { + round2((saved_bytes as f64 / logical_bytes as f64) * 100.0) + } else { + 0.0 + }; + let storage_utilisation_percent = if self.capacity_limit() > 0 { + round2((metadata.len() as f64 / self.capacity_limit() as f64) * 100.0) + } else { + 0.0 + }; + let remaining_capacity_bytes = self.capacity_limit().saturating_sub(metadata.len()); + let average_payload = if active_frames > 0 { + payload_bytes / active_frames + } else { + 0 + }; + let average_logical = if active_frames > 0 { + logical_bytes / active_frames + } else { + 0 + }; + + // PHASE 2: Calculate detailed overhead breakdown for observability + let wal_bytes = self.header.wal_size; + + let mut lex_index_bytes = 0u64; + if let Some(ref lex) = self.toc.indexes.lex { + lex_index_bytes = lex_index_bytes.saturating_add(lex.bytes_length); + } + for seg in &self.toc.indexes.lex_segments { + lex_index_bytes = lex_index_bytes.saturating_add(seg.bytes_length); + } + + let mut vec_index_bytes = 0u64; + let mut vector_count = 0u64; + if let Some(ref vec) = self.toc.indexes.vec { + vec_index_bytes = vec_index_bytes.saturating_add(vec.bytes_length); + vector_count = vector_count.saturating_add(vec.vector_count); + } + for seg in &self.toc.segment_catalog.vec_segments { + vec_index_bytes = vec_index_bytes.saturating_add(seg.common.bytes_length); + vector_count = vector_count.saturating_add(seg.vector_count); + } + + let mut time_index_bytes = 0u64; + if let Some(ref time) = self.toc.time_index { + time_index_bytes = time_index_bytes.saturating_add(time.bytes_length); + } + for seg in &self.toc.segment_catalog.time_segments { + time_index_bytes = time_index_bytes.saturating_add(seg.common.bytes_length); + } + + // CLIP image count from clip index manifest + let clip_image_count = self.toc.indexes.clip.as_ref().map_or(0, |c| c.vector_count); + + Ok(Stats { + frame_count: self.toc.frames.len() as u64, + size_bytes: metadata.len(), + tier: self.tier(), + // Use consolidated helper for consistent lex index detection + has_lex_index: crate::memvid::lifecycle::has_lex_index(&self.toc), + has_vec_index: self.toc.indexes.vec.is_some() + || !self.toc.segment_catalog.vec_segments.is_empty(), + has_clip_index: self.toc.indexes.clip.is_some(), + has_time_index: self.toc.time_index.is_some() + || !self.toc.segment_catalog.time_segments.is_empty(), + seq_no: (self.toc.ticket_ref.seq_no != 0).then_some(self.toc.ticket_ref.seq_no), + capacity_bytes: self.capacity_limit(), + active_frame_count: active_frames, + payload_bytes, + logical_bytes, + saved_bytes, + compression_ratio_percent, + savings_percent, + storage_utilisation_percent, + remaining_capacity_bytes, + average_frame_payload_bytes: average_payload, + average_frame_logical_bytes: average_logical, + wal_bytes, + lex_index_bytes, + vec_index_bytes, + time_index_bytes, + vector_count, + clip_image_count, + lex_enabled: self.lex_enabled, + vec_enabled: self.vec_enabled, + }) + } + + /// Applies an unsigned ticket to this memory. + /// + /// # Deprecation + /// This method is deprecated and will be removed in a future release. + /// Use [`apply_signed_ticket`](Self::apply_signed_ticket) instead, which + /// verifies the ticket signature against the Memvid public key. + #[deprecated( + since = "0.3.0", + note = "Use apply_signed_ticket() for cryptographically verified tickets" + )] + pub fn apply_ticket(&mut self, ticket: Ticket) -> Result<()> { + self.ensure_writable()?; + let current_seq = self.toc.ticket_ref.seq_no; + if ticket.seq_no <= current_seq { + return Err(MemvidError::TicketSequence { + expected: current_seq + 1, + actual: ticket.seq_no, + }); + } + + self.toc.ticket_ref.capacity_bytes = ticket.capacity_bytes.unwrap_or(0); + self.toc.ticket_ref.issuer = ticket.issuer; + self.toc.ticket_ref.seq_no = ticket.seq_no; + self.toc.ticket_ref.expires_in_secs = ticket.expires_in_secs; + self.toc.ticket_ref.verified = false; // Unsigned tickets are not verified + + self.generation = self.generation.wrapping_add(1); + self.rewrite_toc_footer()?; + self.header.toc_checksum = self.toc.toc_checksum; + crate::persist_header(&mut self.file, &self.header)?; + self.file.sync_all()?; + Ok(()) + } + + /// Applies a cryptographically signed ticket to this memory. + /// + /// This method verifies the ticket signature against the embedded Memvid + /// public key before applying. Only tickets signed by the official Memvid + /// control plane will be accepted. + /// + /// # Arguments + /// * `ticket` - A signed ticket obtained from the Memvid API + /// + /// # Errors + /// Returns an error if: + /// - The signature verification fails + /// - The memory ID doesn't match this memory + /// - The sequence number is not greater than the current one + /// + /// # Example + /// ```ignore + /// use memvid_core::types::SignedTicket; + /// + /// let ticket = SignedTicket::new( + /// "memvid.com", + /// 1, + /// 86400, + /// Some(100 * 1024 * 1024), + /// memory_id, + /// signature_bytes, + /// ); + /// memory.apply_signed_ticket(ticket)?; + /// ``` + pub fn apply_signed_ticket(&mut self, ticket: SignedTicket) -> Result<()> { + self.ensure_writable()?; + + // 1. Parse the embedded public key + let verifying_key = parse_ed25519_public_key_base64(MEMVID_TICKET_PUBKEY)?; + + // 2. Verify the memory is bound and get its memory_id + let binding = self.toc.memory_binding.as_ref().ok_or_else(|| { + MemvidError::TicketSignatureInvalid { + reason: "cannot apply signed ticket: memory is not bound to the Memvid API".into(), + } + })?; + + // 3. Verify the memory ID matches + if ticket.memory_id != binding.memory_id { + return Err(MemvidError::TicketSignatureInvalid { + reason: format!( + "ticket memory_id {} does not match this memory {}", + ticket.memory_id, binding.memory_id + ) + .into_boxed_str(), + }); + } + + // 4. Verify the signature + verify_ticket_signature( + &verifying_key, + &ticket.memory_id, + &ticket.issuer, + ticket.seq_no, + ticket.expires_in_secs, + ticket.capacity_bytes, + &ticket.signature, + )?; + + // 5. Check sequence number (replay protection) + let current_seq = self.toc.ticket_ref.seq_no; + if ticket.seq_no <= current_seq { + return Err(MemvidError::TicketSequence { + expected: current_seq + 1, + actual: ticket.seq_no, + }); + } + + // 6. Apply the verified ticket + self.toc.ticket_ref.capacity_bytes = ticket.capacity_bytes.unwrap_or(0); + self.toc.ticket_ref.issuer = ticket.issuer; + self.toc.ticket_ref.seq_no = ticket.seq_no; + self.toc.ticket_ref.expires_in_secs = ticket.expires_in_secs; + self.toc.ticket_ref.verified = true; // Mark as cryptographically verified + + self.generation = self.generation.wrapping_add(1); + self.rewrite_toc_footer()?; + self.header.toc_checksum = self.toc.toc_checksum; + crate::persist_header(&mut self.file, &self.header)?; + self.file.sync_all()?; + Ok(()) + } + + #[must_use] + pub fn current_ticket(&self) -> TicketRef { + self.toc.ticket_ref.clone() + } + + /// Returns a reference to the Logic-Mesh manifest, if present. + #[must_use] + pub fn logic_mesh_manifest(&self) -> Option<&crate::types::LogicMeshManifest> { + self.toc.logic_mesh.as_ref() + } +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_pubkey_parses() { + // Ensure the embedded public key is valid base64 and parses correctly + let result = parse_ed25519_public_key_base64(MEMVID_TICKET_PUBKEY); + assert!(result.is_ok(), "Failed to parse embedded public key"); + } + + #[test] + fn test_signed_ticket_struct() { + let memory_id = uuid::Uuid::new_v4(); + let signature = vec![0u8; 64]; + + let ticket = SignedTicket::new( + "memvid.com", + 1, + 86400, + Some(100 * 1024 * 1024), + memory_id, + signature.clone(), + ); + + assert_eq!(ticket.issuer, "memvid.com"); + assert_eq!(ticket.seq_no, 1); + assert_eq!(ticket.expires_in_secs, 86400); + assert_eq!(ticket.capacity_bytes, Some(100 * 1024 * 1024)); + assert_eq!(ticket.memory_id, memory_id); + assert_eq!(ticket.signature, signature); + } + + #[test] + fn test_signed_ticket_serialization() { + let memory_id = uuid::Uuid::nil(); + let signature = vec![1u8; 64]; + + let ticket = SignedTicket::new("test", 5, 3600, None, memory_id, signature); + + // Should serialize to JSON without errors + let json = serde_json::to_string(&ticket).expect("serialization failed"); + assert!(json.contains("\"issuer\":\"test\"")); + assert!(json.contains("\"seq_no\":5")); + + // Should deserialize back + let parsed: SignedTicket = serde_json::from_str(&json).expect("deserialization failed"); + assert_eq!(parsed.issuer, ticket.issuer); + assert_eq!(parsed.seq_no, ticket.seq_no); + assert_eq!(parsed.memory_id, ticket.memory_id); + } + + #[test] + fn test_ticket_ref_verified_default() { + // New TicketRef should default verified to false + let ticket_ref: TicketRef = serde_json::from_str( + r#"{"issuer":"test","seq_no":1,"expires_in_secs":0,"capacity_bytes":0}"#, + ) + .expect("deserialization failed"); + + assert!(!ticket_ref.verified, "verified should default to false"); + } + + #[test] + fn test_invalid_signature_rejected() { + // Create a ticket with an invalid signature (all zeros) + let memory_id = uuid::Uuid::new_v4(); + let invalid_signature = vec![0u8; 64]; + + let ticket = SignedTicket::new( + "memvid.com", + 1, + 86400, + Some(100 * 1024 * 1024), + memory_id, + invalid_signature, + ); + + // Verify the signature fails + let verifying_key = parse_ed25519_public_key_base64(MEMVID_TICKET_PUBKEY).unwrap(); + let result = verify_ticket_signature( + &verifying_key, + &ticket.memory_id, + &ticket.issuer, + ticket.seq_no, + ticket.expires_in_secs, + ticket.capacity_bytes, + &ticket.signature, + ); + + assert!(result.is_err(), "Invalid signature should be rejected"); + if let Err(MemvidError::TicketSignatureInvalid { reason }) = result { + assert!( + reason.contains("signature"), + "Error should mention signature" + ); + } + } +} diff --git a/src/memvid/timeline.rs b/src/memvid/timeline.rs new file mode 100644 index 0000000..486c24e --- /dev/null +++ b/src/memvid/timeline.rs @@ -0,0 +1,216 @@ +//! Timeline assembly helpers for `Memvid`. + +use crate::Result; +use crate::io::time_index::{TimeIndexEntry, read_track as time_index_read}; +use crate::memvid::lifecycle::Memvid; +#[cfg(feature = "temporal_track")] +use crate::memvid::search::frame_ids_for_temporal_filter; +use crate::types::{FrameId, FrameRole, FrameStatus, TimelineEntry}; +#[cfg(feature = "temporal_track")] +use crate::types::{ + SearchHitTemporal, SearchHitTemporalAnchor, SearchHitTemporalMention, TemporalFilter, + TemporalTrack, +}; +#[cfg(feature = "temporal_track")] +use std::collections::HashSet; +use std::num::NonZeroU64; +#[cfg(feature = "temporal_track")] +use time::{OffsetDateTime, format_description::well_known::Rfc3339}; + +pub(crate) fn build_timeline( + memvid: &mut Memvid, + limit: Option, + since: Option, + until: Option, + reverse: bool, + #[cfg(feature = "temporal_track")] temporal: Option<&TemporalFilter>, +) -> Result> { + #[cfg(feature = "temporal_track")] + let temporal_candidates: Option> = if let Some(filter) = temporal { + if filter.is_empty() { + None + } else { + match frame_ids_for_temporal_filter(memvid, filter)? { + Some(ids) => { + let set: HashSet = ids.into_iter().collect(); + if set.is_empty() { + return Ok(Vec::new()); + } + Some(set) + } + None => None, + } + } + } else { + None + }; + + let mut entries = if let Some(manifest) = &memvid.toc.time_index { + let mut indexed = time_index_read( + &mut memvid.file, + manifest.bytes_offset, + manifest.bytes_length, + )?; + // Also include ExtractedImage frames (child frames) which may not be in time index + let indexed_ids: std::collections::HashSet = + indexed.iter().map(|e| e.frame_id).collect(); + for frame in &memvid.toc.frames { + if frame.status == FrameStatus::Active + && frame.role == FrameRole::ExtractedImage + && !indexed_ids.contains(&frame.id) + { + indexed.push(TimeIndexEntry::new(frame.timestamp, frame.id)); + } + } + indexed + } else { + memvid + .toc + .frames + .iter() + .filter(|frame| frame.status == FrameStatus::Active) + .map(|frame| TimeIndexEntry::new(frame.timestamp, frame.id)) + .collect() + }; + + #[cfg(feature = "temporal_track")] + if let Some(ref candidates) = temporal_candidates { + entries.retain(|entry| candidates.contains(&entry.frame_id)); + } + + entries.retain(|entry| { + let after_since = since.is_none_or(|s| entry.timestamp >= s); + let before_until = until.is_none_or(|u| entry.timestamp <= u); + after_since && before_until + }); + + if reverse { + entries.reverse(); + } + + let limit = limit.map_or(entries.len(), |nz| { + usize::try_from(nz.get()).unwrap_or(usize::MAX) + }); + let mut result = Vec::with_capacity(entries.len().min(limit)); + #[cfg(feature = "temporal_track")] + let temporal_track_snapshot = memvid.temporal_track_ref()?.cloned(); + for entry in entries.into_iter().take(limit) { + let Some(frame) = memvid + .toc + .frames + .get(usize::try_from(entry.frame_id).unwrap_or(usize::MAX)) + .cloned() + else { + tracing::warn!( + frame_id = entry.frame_id, + "skipping time index entry with out-of-range frame id" + ); + continue; + }; + if frame.status != FrameStatus::Active { + continue; + } + let preview = memvid.frame_preview(&frame)?; + let uri = frame + .uri + .clone() + .or_else(|| Some(crate::default_uri(frame.id))); + let child_frames: Vec = memvid + .toc + .frames + .iter() + .filter(|candidate| { + candidate.status == FrameStatus::Active && candidate.parent_id == Some(frame.id) + }) + .map(|candidate| candidate.id) + .collect(); + #[cfg(feature = "temporal_track")] + let temporal_info = if let Some(track) = temporal_track_snapshot.as_ref() { + build_timeline_temporal_metadata(memvid, track, &frame)? + } else { + None + }; + + result.push(TimelineEntry { + frame_id: frame.id, + timestamp: frame.timestamp, + preview, + uri, + child_frames, + #[cfg(feature = "temporal_track")] + temporal: temporal_info, + }); + } + Ok(result) +} + +#[cfg(feature = "temporal_track")] +fn build_timeline_temporal_metadata( + memvid: &mut Memvid, + track: &TemporalTrack, + frame: &crate::types::Frame, +) -> Result> { + let mut temporal = SearchHitTemporal::default(); + + if let Some(anchor) = track.anchor_for_frame(frame.id) { + temporal.anchor = Some(SearchHitTemporalAnchor { + ts_utc: anchor.anchor_ts, + iso_8601: timestamp_to_rfc3339(anchor.anchor_ts), + source: anchor.source, + }); + } + + let mentions: Vec<_> = track + .mentions + .iter() + .filter(|mention| mention.frame_id == frame.id) + .collect(); + + if !mentions.is_empty() { + let canonical = memvid.frame_content(frame)?; + let bytes = canonical.as_bytes(); + let mut collected = Vec::new(); + for mention in mentions.into_iter().take(8) { + let start = mention.byte_start as usize; + let end = start + .saturating_add(mention.byte_len as usize) + .min(bytes.len()); + if start >= end { + continue; + } + let snippet = String::from_utf8_lossy(&bytes[start..end]) + .trim() + .to_owned(); + collected.push(SearchHitTemporalMention { + ts_utc: mention.ts_utc, + iso_8601: timestamp_to_rfc3339(mention.ts_utc), + kind: mention.kind, + confidence: mention.confidence, + flags: mention.flags, + text: if snippet.is_empty() { + None + } else { + Some(snippet) + }, + byte_start: mention.byte_start, + byte_len: mention.byte_len, + }); + } + if !collected.is_empty() { + temporal.mentions = collected; + } + } + + if temporal.anchor.is_some() || !temporal.mentions.is_empty() { + Ok(Some(temporal)) + } else { + Ok(None) + } +} + +#[cfg(feature = "temporal_track")] +fn timestamp_to_rfc3339(ts: i64) -> Option { + OffsetDateTime::from_unix_timestamp(ts) + .ok() + .and_then(|dt| dt.format(&Rfc3339).ok()) +} diff --git a/src/memvid/workers.rs b/src/memvid/workers.rs new file mode 100644 index 0000000..6baccf7 --- /dev/null +++ b/src/memvid/workers.rs @@ -0,0 +1,469 @@ +#![cfg(feature = "parallel_segments")] + +use std::{ + any::Any, + collections::HashMap, + io::Cursor, + sync::{ + Arc, + atomic::{AtomicBool, Ordering}, + }, + thread, + time::Instant, +}; + +use crossbeam_channel::{Receiver, Sender, bounded}; +use tracing::debug; + +use super::{ + builder::BuildOpts, + planner::{PlannerMessage, SegmentPlan}, + segments::{LexSegmentArtifact, TimeSegmentArtifact, VecSegmentArtifact}, +}; +use crate::{ + MemvidError, Result, TimeIndexEntry, time_index_append, + types::{SegmentSpan, SegmentStats}, +}; + +/// Minimum number of vectors required to use Product Quantization. +/// Below this threshold, we fall back to uncompressed vectors. +/// PQ requires training k-means on many vectors to learn good codebooks. +const MIN_VECTORS_FOR_PQ: usize = 100; + +/// Drives segment-building work by fanning `SegmentPlan`s across worker threads. +pub(crate) struct SegmentWorkerPool { + threads: usize, + queue_depth: usize, + opts: BuildOpts, +} + +#[derive(Debug)] +pub(crate) struct SegmentArtifact { + pub artifact: T, + pub stats: SegmentStats, +} + +#[derive(Debug)] +pub(crate) struct SegmentResult { + pub plan_index: usize, + pub span: Option, + pub lex: Option>, + pub vec: Option>, + pub time: Option>, +} + +enum WorkerMessage { + Result(SegmentResult), + Error(MemvidError), +} + +impl SegmentWorkerPool { + pub fn new(opts: &BuildOpts) -> Self { + Self { + threads: opts.threads.max(1), + queue_depth: opts.queue_depth.max(1), + opts: opts.clone(), + } + } + + pub fn execute(&self, plans: Vec) -> Result> { + let plan_count = plans.len(); + if plan_count == 0 { + return Ok(Vec::new()); + } + + let (plan_tx, plan_rx) = bounded(self.queue_depth); + let (result_tx, result_rx) = bounded(self.queue_depth); + let cancel_flag = Arc::new(AtomicBool::new(false)); + + let mut handles = Vec::with_capacity(self.threads); + for worker_id in 0..self.threads { + let rx = plan_rx.clone(); + let tx = result_tx.clone(); + let cancel = cancel_flag.clone(); + let opts = self.opts.clone(); + handles.push(thread::spawn(move || { + worker_loop(worker_id, rx, tx, cancel, opts) + })); + } + drop(result_tx); + + for (plan_index, plan) in plans.into_iter().enumerate() { + if cancel_flag.load(Ordering::SeqCst) { + break; + } + if plan_tx + .send(PlannerMessage::Plan { plan_index, plan }) + .is_err() + { + cancel_flag.store(true, Ordering::SeqCst); + break; + } + } + for _ in 0..self.threads { + let _ = plan_tx.send(PlannerMessage::Shutdown); + } + drop(plan_tx); + + let mut results = Vec::with_capacity(plan_count); + let mut worker_error: Option = None; + while results.len() < plan_count { + match result_rx.recv() { + Ok(WorkerMessage::Result(result)) => { + results.push(result); + } + Ok(WorkerMessage::Error(err)) => { + worker_error = Some(err); + cancel_flag.store(true, Ordering::SeqCst); + break; + } + Err(_) => { + if worker_error.is_none() { + worker_error = Some(MemvidError::CheckpointFailed { + reason: "worker channel closed unexpectedly".into(), + }); + } + break; + } + } + } + + for handle in handles { + if let Err(panic) = handle.join() { + if worker_error.is_none() { + worker_error = Some(MemvidError::CheckpointFailed { + reason: format!( + "parallel segment worker panicked: {}", + panic_payload(&panic) + ), + }); + } + } + } + + if worker_error.is_none() && results.len() != plan_count { + worker_error = Some(MemvidError::CheckpointFailed { + reason: format!( + "expected {plan_count} segment results, received {}", + results.len() + ), + }); + } + + if let Some(err) = worker_error { + return Err(err); + } + + results.sort_by_key(|result| result.plan_index); + Ok(results) + } +} + +fn worker_loop( + worker_id: usize, + plan_rx: Receiver, + result_tx: Sender, + cancel: Arc, + opts: BuildOpts, +) { + while !cancel.load(Ordering::SeqCst) { + match plan_rx.recv() { + Ok(PlannerMessage::Plan { plan_index, plan }) => { + debug!( + worker_id, + plan_index, + chunks = plan.chunks.len(), + tokens = plan.estimated_tokens, + pages = plan.estimated_pages, + "segment worker building artifacts" + ); + match build_segment(plan_index, plan, &opts) { + Ok(result) => { + if result_tx.send(WorkerMessage::Result(result)).is_err() { + cancel.store(true, Ordering::SeqCst); + break; + } + } + Err(err) => { + let _ = result_tx.send(WorkerMessage::Error(err)); + cancel.store(true, Ordering::SeqCst); + break; + } + } + } + Ok(PlannerMessage::Shutdown) | Err(_) => break, + } + } +} + +fn build_segment(plan_index: usize, plan: SegmentPlan, opts: &BuildOpts) -> Result { + let span = span_from_plan(plan_index, &plan); + let lex = build_lex_artifact(plan_index, &plan)?; + let vec = build_vec_artifact(plan_index, &plan, opts)?; + let time = build_time_artifact(plan_index, &plan)?; + Ok(SegmentResult { + plan_index, + span, + lex, + vec, + time, + }) +} + +fn build_lex_artifact( + _plan_index: usize, + plan: &SegmentPlan, +) -> Result>> { + if plan.chunks.is_empty() { + return Ok(None); + } + let mut builder = crate::lex::LexIndexBuilder::new(); + let mut docs_added = 0usize; + let tags = HashMap::new(); + let start = Instant::now(); + for chunk in &plan.chunks { + if chunk.text.trim().is_empty() { + continue; + } + docs_added += 1; + let uri = format!("memvid://frame/{}", chunk.frame_id); + builder.add_document(chunk.frame_id, &uri, None, &chunk.text, &tags); + } + if docs_added == 0 { + return Ok(None); + } + let artifact = builder.finish()?; + if artifact.doc_count == 0 { + return Ok(None); + } + let artifact = LexSegmentArtifact { + bytes: artifact.bytes, + doc_count: artifact.doc_count, + checksum: artifact.checksum, + }; + let stats = SegmentStats { + doc_count: artifact.doc_count, + vector_count: 0, + time_entries: 0, + bytes_uncompressed: artifact.bytes.len() as u64, + build_micros: start.elapsed().as_micros() as u64, + }; + Ok(Some(SegmentArtifact { artifact, stats })) +} + +fn build_vec_artifact( + _plan_index: usize, + plan: &SegmentPlan, + opts: &BuildOpts, +) -> Result>> { + use crate::types::VectorCompression; + use tracing::info; + + if plan.chunks.is_empty() { + info!("build_vec_artifact: plan.chunks is empty, returning None"); + return Ok(None); + } + + let start = Instant::now(); + + // Count non-empty vectors + let non_empty_count = plan + .chunks + .iter() + .filter(|chunk| chunk.embedding.as_ref().map_or(false, |e| !e.is_empty())) + .count(); + + info!( + chunks = plan.chunks.len(), + non_empty_count, "build_vec_artifact: checking embeddings in plan" + ); + + // Determine effective compression: use uncompressed if below PQ threshold + let effective_compression = match &opts.vec_compression { + VectorCompression::Pq96 if non_empty_count < MIN_VECTORS_FOR_PQ => { + // Fall back to uncompressed for small vector counts + VectorCompression::None + } + other => other.clone(), + }; + + match effective_compression { + VectorCompression::None => { + // Uncompressed path - use regular VecIndexBuilder + let mut builder = crate::vec::VecIndexBuilder::new(); + let mut vectors = 0usize; + let mut dimension = 0u32; + + for chunk in &plan.chunks { + let Some(embedding) = chunk.embedding.as_ref() else { + continue; + }; + if embedding.is_empty() { + continue; + } + dimension = dimension.max(embedding.len() as u32); + vectors += 1; + builder.add_document(chunk.frame_id, embedding.clone()); + } + + if vectors == 0 { + return Ok(None); + } + + let artifact = builder.finish()?; + if artifact.vector_count == 0 { + return Ok(None); + } + + let final_dimension = if artifact.dimension == 0 { + dimension + } else { + artifact.dimension + }; + + let artifact = VecSegmentArtifact { + bytes: artifact.bytes, + vector_count: artifact.vector_count, + dimension: final_dimension, + checksum: artifact.checksum, + compression: VectorCompression::None, + #[cfg(feature = "parallel_segments")] + bytes_uncompressed: artifact.bytes_uncompressed, + }; + let stats = SegmentStats { + doc_count: 0, + vector_count: artifact.vector_count, + time_entries: 0, + bytes_uncompressed: artifact.bytes_uncompressed, + build_micros: start.elapsed().as_micros() as u64, + }; + Ok(Some(SegmentArtifact { artifact, stats })) + } + VectorCompression::Pq96 => { + // Compressed path - use QuantizedVecIndexBuilder + let mut builder = crate::vec_pq::QuantizedVecIndexBuilder::new(); + let mut dimension = 0u32; + + // Collect all vectors for training + let mut training_vectors = Vec::new(); + for chunk in &plan.chunks { + let Some(embedding) = chunk.embedding.as_ref() else { + continue; + }; + if embedding.is_empty() { + continue; + } + dimension = dimension.max(embedding.len() as u32); + training_vectors.push(embedding.clone()); + } + + if training_vectors.is_empty() { + return Ok(None); + } + + // Train the quantizer on all vectors + builder.train_quantizer(&training_vectors, dimension)?; + + // Add all documents + for chunk in &plan.chunks { + let Some(embedding) = chunk.embedding.as_ref() else { + continue; + }; + if embedding.is_empty() { + continue; + } + builder.add_document(chunk.frame_id, embedding.clone())?; + } + + let artifact = builder.finish()?; + if artifact.vector_count == 0 { + return Ok(None); + } + + let final_dimension = if artifact.dimension == 0 { + dimension + } else { + artifact.dimension + }; + + let bytes_len = artifact.bytes.len() as u64; + + let artifact = VecSegmentArtifact { + bytes: artifact.bytes, + vector_count: artifact.vector_count, + dimension: final_dimension, + checksum: artifact.checksum, + compression: VectorCompression::Pq96, + #[cfg(feature = "parallel_segments")] + bytes_uncompressed: bytes_len, + }; + let stats = SegmentStats { + doc_count: 0, + vector_count: artifact.vector_count, + time_entries: 0, + bytes_uncompressed: bytes_len, + build_micros: start.elapsed().as_micros() as u64, + }; + Ok(Some(SegmentArtifact { artifact, stats })) + } + } +} + +fn build_time_artifact( + _plan_index: usize, + plan: &SegmentPlan, +) -> Result>> { + if plan.chunks.is_empty() { + return Ok(None); + } + let mut entries = Vec::with_capacity(plan.chunks.len()); + for chunk in &plan.chunks { + entries.push(TimeIndexEntry::new(chunk.timestamp, chunk.frame_id)); + } + if entries.is_empty() { + return Ok(None); + } + let start = Instant::now(); + let mut cursor = Cursor::new(Vec::new()); + let (_, _length, checksum) = time_index_append(&mut cursor, &mut entries)?; + let bytes = cursor.into_inner(); + if bytes.is_empty() { + return Ok(None); + } + let artifact = TimeSegmentArtifact { + bytes, + entry_count: entries.len() as u64, + checksum, + }; + let stats = SegmentStats { + doc_count: 0, + vector_count: 0, + time_entries: entries.len() as u64, + bytes_uncompressed: artifact.bytes.len() as u64, + build_micros: start.elapsed().as_micros() as u64, + }; + Ok(Some(SegmentArtifact { artifact, stats })) +} + +fn span_from_plan(_plan_index: usize, plan: &SegmentPlan) -> Option { + let first = plan.chunks.first()?; + let last = plan.chunks.last()?; + Some(SegmentSpan { + frame_start: first.frame_id, + frame_end: last.frame_id, + page_start: first.page_start as u32, + page_end: last.page_end as u32, + token_start: plan.token_start as u64, + token_end: plan.token_end as u64, + }) +} + +fn panic_payload(payload: &Box) -> String { + if let Some(s) = payload.downcast_ref::<&str>() { + s.to_string() + } else if let Some(s) = payload.downcast_ref::() { + s.clone() + } else { + "unknown".to_string() + } +} diff --git a/src/models.rs b/src/models.rs new file mode 100644 index 0000000..b4b2e04 --- /dev/null +++ b/src/models.rs @@ -0,0 +1,540 @@ +use std::fs; +use std::fs::File; +use std::io::{BufReader, Read}; +use std::path::{Component, Path, PathBuf}; + +#[cfg(feature = "vec")] +use std::time::Instant; + +use serde::Deserialize; + +use crate::error::{MemvidError, Result}; + +#[derive(Debug, Clone, Copy, PartialEq, Eq)] +pub enum ModelVerificationStatus { + Ok, + Warn, + Fail, +} + +impl ModelVerificationStatus { + fn elevate(&mut self, other: ModelVerificationStatus) { + use ModelVerificationStatus::{Fail, Ok, Warn}; + match (*self, other) { + (Fail, _) | (_, Fail) => *self = Fail, + (Warn, _) | (_, Warn) => { + if matches!(*self, Ok) { + *self = Warn; + } + } + _ => {} + } + } +} + +#[derive(Debug, Clone)] +pub struct ModelVerification { + pub digest: String, + pub dims: Option, + pub quant: Option, + pub context_length: Option, + pub status: ModelVerificationStatus, + pub load_latency_ms: Option, + pub path: PathBuf, + pub warnings: Vec, + pub errors: Vec, +} + +impl ModelVerification { + fn from_error(path: PathBuf, err: MemvidError) -> Self { + let digest = digest_from_dir_name(&path).unwrap_or_else(|| "sha256:unknown".to_string()); + Self { + digest, + dims: None, + quant: None, + context_length: None, + status: ModelVerificationStatus::Fail, + load_latency_ms: None, + path, + warnings: Vec::new(), + errors: vec![err.to_string()], + } + } +} + +#[derive(Debug, Clone, Default)] +pub struct ModelVerifyOptions { + pub run_onnx_smoke: bool, +} + +#[derive(Debug, Clone, Deserialize)] +#[serde(default, rename_all = "kebab-case")] +pub struct ModelManifest { + pub schema_version: u32, + pub digest: String, + pub dims: u32, + pub quant: Option, + pub context_length: Option, + pub files: Vec, + pub metadata: serde_json::Value, +} + +impl Default for ModelManifest { + fn default() -> Self { + Self { + schema_version: 1, + digest: String::new(), + dims: 0, + quant: None, + context_length: None, + files: Vec::new(), + metadata: serde_json::Value::Null, + } + } +} + +#[derive(Debug, Clone, Deserialize)] +#[serde(default, rename_all = "kebab-case")] +#[derive(Default)] +pub struct ModelManifestEntry { + pub path: String, + pub sha256: String, + pub optional: bool, + pub roles: Vec, + pub kind: Option, +} + +pub fn verify_models(root: &Path, options: &ModelVerifyOptions) -> Result> { + if !root.exists() { + return Ok(Vec::new()); + } + + let mut dirs: Vec = fs::read_dir(root)? + .filter_map(std::result::Result::ok) + .filter_map(|entry| { + let path = entry.path(); + entry + .file_type() + .ok() + .filter(std::fs::FileType::is_dir) + .and_then(|_| digest_from_dir_name(&path).map(|_| path)) + }) + .collect(); + dirs.sort(); + + let mut reports = Vec::with_capacity(dirs.len()); + for dir in dirs { + match verify_model_dir(&dir, options) { + Ok(report) => reports.push(report), + Err(err) => reports.push(ModelVerification::from_error(dir, err)), + } + } + + reports.sort_by(|a, b| a.digest.cmp(&b.digest)); + Ok(reports) +} + +pub fn verify_model_dir(dir: &Path, options: &ModelVerifyOptions) -> Result { + let manifest_path = dir.join("manifest.json"); + if !manifest_path.exists() { + return Err(MemvidError::ModelIntegrity { + reason: format!("missing manifest.json in {}", dir.display()).into_boxed_str(), + }); + } + + let manifest_data = fs::read_to_string(&manifest_path)?; + let manifest: ModelManifest = + serde_json::from_str(&manifest_data).map_err(|err| MemvidError::ModelManifestInvalid { + reason: format!( + "failed to parse manifest {}: {err}", + manifest_path.display() + ) + .into_boxed_str(), + })?; + + if manifest.digest.trim().is_empty() { + return Err(MemvidError::ModelManifestInvalid { + reason: "manifest digest is empty".into(), + }); + } + + if manifest.dims == 0 { + return Err(MemvidError::ModelManifestInvalid { + reason: "embedding dimensions must be > 0".into(), + }); + } + + let manifest_digest_hex = normalize_sha256(&manifest.digest, "manifest digest")?; + let dir_digest_hex = digest_from_dir_name(dir).ok_or_else(|| MemvidError::ModelIntegrity { + reason: format!( + "directory {} is not named as sha256-", + dir.display() + ) + .into_boxed_str(), + })?; + + let dir_digest_hex = normalize_sha256(&dir_digest_hex, "directory digest")?; + if manifest_digest_hex != dir_digest_hex { + return Err(MemvidError::ModelIntegrity { + reason: format!( + "manifest digest sha256:{manifest_digest_hex} does not match directory sha256:{dir_digest_hex}" + ) + .into_boxed_str(), + }); + } + + let digest = format!("sha256:{manifest_digest_hex}"); + + let mut status = ModelVerificationStatus::Ok; + let mut warnings = Vec::new(); + let mut errors = Vec::new(); + let mut load_latency_ms = None; + + for entry in &manifest.files { + validate_entry(entry)?; + let expected_hex = normalize_sha256(&entry.sha256, &entry.path)?; + let resolved_path = resolve_entry_path(dir, &entry.path)?; + if !resolved_path.exists() { + if entry.optional { + warnings.push(format!("optional file missing: {}", entry.path)); + status.elevate(ModelVerificationStatus::Warn); + } else { + errors.push(format!("required file missing: {}", entry.path)); + status.elevate(ModelVerificationStatus::Fail); + } + continue; + } + + let actual_hex = compute_sha256_hex(&resolved_path)?; + if actual_hex != expected_hex { + errors.push(format!( + "checksum mismatch for {} (expected {}, got {})", + entry.path, expected_hex, actual_hex + )); + status.elevate(ModelVerificationStatus::Fail); + } + } + + if status != ModelVerificationStatus::Fail && options.run_onnx_smoke { + if let Some(weights_entry) = select_weights_entry(&manifest) { + let weights_path = resolve_entry_path(dir, &weights_entry.path)?; + if weights_path.exists() { + match run_onnx_smoke_test(&weights_path) { + Ok(latency) => { + load_latency_ms = Some(latency.max(1)); + } + Err(OnnxSmokeError::FeatureUnavailable(feature)) => { + warnings.push(format!( + "feature '{feature}' not enabled; skipping ONNX smoke test" + )); + status.elevate(ModelVerificationStatus::Warn); + } + Err(OnnxSmokeError::Engine(err)) => { + errors.push(format!("ONNX initialisation failed: {err}")); + status.elevate(ModelVerificationStatus::Fail); + } + } + } + } else { + warnings.push( + "manifest does not declare a model .onnx file; skipping ONNX smoke test".into(), + ); + status.elevate(ModelVerificationStatus::Warn); + } + } + + let resolved_dir = fs::canonicalize(dir).unwrap_or_else(|_| dir.to_path_buf()); + + Ok(ModelVerification { + digest, + dims: Some(manifest.dims), + quant: manifest.quant.clone(), + context_length: manifest.context_length, + status, + load_latency_ms, + path: resolved_dir, + warnings, + errors, + }) +} + +fn validate_entry(entry: &ModelManifestEntry) -> Result<()> { + if entry.path.trim().is_empty() { + return Err(MemvidError::ModelManifestInvalid { + reason: "file entry path is empty".into(), + }); + } + if entry.path.contains('\\') { + return Err(MemvidError::ModelManifestInvalid { + reason: format!("file entry path must use forward slashes: {}", entry.path) + .into_boxed_str(), + }); + } + if entry.sha256.trim().is_empty() { + return Err(MemvidError::ModelManifestInvalid { + reason: format!("file entry '{}' missing sha256", entry.path).into_boxed_str(), + }); + } + Ok(()) +} + +fn resolve_entry_path(base: &Path, relative: &str) -> Result { + let path = Path::new(relative); + if path.is_absolute() { + return Err(MemvidError::ModelManifestInvalid { + reason: format!("file entry '{relative}' must be relative").into_boxed_str(), + }); + } + + for component in path.components() { + if matches!(component, Component::ParentDir) { + return Err(MemvidError::ModelManifestInvalid { + reason: format!("file entry '{relative}' attempts directory traversal") + .into_boxed_str(), + }); + } + } + + Ok(base.join(path)) +} + +fn normalize_sha256(value: &str, context: &str) -> Result { + let trimmed = value.trim(); + let trimmed = trimmed + .strip_prefix("sha256:") + .or_else(|| trimmed.strip_prefix("sha256-")) + .unwrap_or(trimmed); + if trimmed.len() != 64 || !trimmed.chars().all(|c| c.is_ascii_hexdigit()) { + return Err(MemvidError::ModelManifestInvalid { + reason: format!("invalid sha256 value for {context}").into_boxed_str(), + }); + } + Ok(trimmed.to_ascii_lowercase()) +} + +fn digest_from_dir_name(path: &Path) -> Option { + let name = path.file_name()?.to_str()?; + name.strip_prefix("sha256-") + .map(std::string::ToString::to_string) +} + +fn compute_sha256_hex(path: &Path) -> Result { + use sha2::{Digest, Sha256}; + + let file = File::open(path)?; + let mut reader = BufReader::new(file); + let mut hasher = Sha256::new(); + let mut buffer = [0u8; 8192]; + loop { + let read = reader.read(&mut buffer)?; + if read == 0 { + break; + } + hasher.update(&buffer[..read]); + } + Ok(hex::encode(hasher.finalize())) +} + +fn select_weights_entry(manifest: &ModelManifest) -> Option<&ModelManifestEntry> { + if let Some(quant) = manifest.quant.as_deref() { + if let Some(entry) = manifest + .files + .iter() + .find(|entry| entry.path.ends_with(".onnx") && entry.path.contains(quant)) + { + return Some(entry); + } + } + + manifest + .files + .iter() + .find(|entry| entry.roles.iter().any(|role| role == "weights")) + .or_else(|| { + manifest + .files + .iter() + .find(|entry| entry.kind.as_deref() == Some("onnx")) + }) + .or_else(|| { + manifest + .files + .iter() + .find(|entry| entry.path.ends_with(".onnx")) + }) +} + +#[allow(dead_code)] +#[derive(Debug)] +enum OnnxSmokeError { + FeatureUnavailable(&'static str), + Engine(String), +} + +#[cfg(feature = "vec")] +fn run_onnx_smoke_test(path: &Path) -> std::result::Result { + use ort::session::Session; + + let builder = Session::builder().map_err(|err| OnnxSmokeError::Engine(err.to_string()))?; + let start = Instant::now(); + let session = builder + .commit_from_file(path) + .map_err(|err| OnnxSmokeError::Engine(err.to_string()))?; + drop(session); + let elapsed = start.elapsed().as_millis(); + Ok(elapsed.max(1)) +} + +#[cfg(not(feature = "vec"))] +fn run_onnx_smoke_test(_path: &Path) -> std::result::Result { + Err(OnnxSmokeError::FeatureUnavailable("vec")) +} + +#[cfg(test)] +mod tests { + use super::*; + use sha2::{Digest, Sha256}; + use tempfile::tempdir; + + fn write_manifest(path: &Path, value: &serde_json::Value) -> Result<()> { + let bytes = + serde_json::to_vec_pretty(value).map_err(|err| MemvidError::ModelManifestInvalid { + reason: format!("failed to encode manifest: {err}").into_boxed_str(), + })?; + fs::write(path, bytes)?; + Ok(()) + } + + fn write_file(path: &Path, contents: &[u8]) -> Result<()> { + if let Some(parent) = path.parent() { + fs::create_dir_all(parent)?; + } + fs::write(path, contents)?; + Ok(()) + } + + fn checksum_hex(data: &[u8]) -> String { + let mut hasher = Sha256::new(); + hasher.update(data); + hex::encode(hasher.finalize()) + } + + #[test] + fn verify_model_success() -> Result<()> { + let temp = tempdir()?; + let digest = "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"; + let model_dir = temp.path().join(format!("sha256-{digest}")); + fs::create_dir_all(&model_dir)?; + + let model_bytes = b"ONNX"; + let tokenizer_bytes = b"{}"; + + write_file( + &model_dir.join("models/encoder/model_int8.onnx"), + model_bytes, + )?; + write_file( + &model_dir.join("models/encoder/tokenizer.json"), + tokenizer_bytes, + )?; + + let manifest = serde_json::json!({ + "digest": format!("sha256:{digest}"), + "dims": 384, + "quant": "int8", + "files": [ + { + "path": "models/encoder/model_int8.onnx", + "sha256": checksum_hex(model_bytes), + "roles": ["weights"], + }, + { + "path": "models/encoder/tokenizer.json", + "sha256": checksum_hex(tokenizer_bytes), + } + ] + }); + write_manifest(&model_dir.join("manifest.json"), &manifest)?; + + let options = ModelVerifyOptions { + run_onnx_smoke: false, + }; + let report = verify_model_dir(&model_dir, &options)?; + assert_eq!(report.digest, format!("sha256:{digest}")); + assert_eq!(report.status, ModelVerificationStatus::Ok); + assert_eq!(report.dims, Some(384)); + assert!(report.errors.is_empty()); + Ok(()) + } + + #[test] + fn verify_model_missing_optional_warns() -> Result<()> { + let temp = tempdir()?; + let digest = "bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb"; + let model_dir = temp.path().join(format!("sha256-{digest}")); + fs::create_dir_all(&model_dir)?; + + let model_bytes = b"ONNX"; + + write_file(&model_dir.join("models/model.onnx"), model_bytes)?; + + let manifest = serde_json::json!({ + "digest": format!("sha256:{digest}"), + "dims": 256, + "files": [ + { + "path": "models/model.onnx", + "sha256": checksum_hex(model_bytes), + "roles": ["weights"], + }, + { + "path": "models/tokenizer.json", + "sha256": checksum_hex(b"missing"), + "optional": true + } + ] + }); + write_manifest(&model_dir.join("manifest.json"), &manifest)?; + + let options = ModelVerifyOptions { + run_onnx_smoke: false, + }; + let report = verify_model_dir(&model_dir, &options)?; + assert_eq!(report.status, ModelVerificationStatus::Warn); + assert!(report.errors.is_empty()); + assert_eq!(report.warnings.len(), 1); + Ok(()) + } + + #[test] + fn verify_models_directory_listing() -> Result<()> { + let temp = tempdir()?; + let digest = "cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc"; + let model_dir = temp.path().join(format!("sha256-{digest}")); + fs::create_dir_all(&model_dir)?; + + let model_bytes = b"ONNX"; + fs::write(model_dir.join("model.onnx"), model_bytes)?; + + let manifest = serde_json::json!({ + "digest": format!("sha256:{digest}"), + "dims": 128, + "files": [ + { + "path": "model.onnx", + "sha256": checksum_hex(model_bytes), + "roles": ["weights"], + } + ] + }); + write_manifest(&model_dir.join("manifest.json"), &manifest)?; + + let options = ModelVerifyOptions { + run_onnx_smoke: false, + }; + let reports = verify_models(temp.path(), &options)?; + assert_eq!(reports.len(), 1); + assert_eq!(reports[0].digest, format!("sha256:{digest}")); + Ok(()) + } +} diff --git a/src/pii.rs b/src/pii.rs new file mode 100644 index 0000000..4aa42f0 --- /dev/null +++ b/src/pii.rs @@ -0,0 +1,252 @@ +// Safe expect: Regex patterns are compile-time literals, verified valid. +#![allow(clippy::expect_used)] +//! PII (Personally Identifiable Information) detection and masking +//! +//! This module provides functionality to detect and mask sensitive PII in text +//! before sending it to LLMs or external services. The masking happens at query +//! time, so the original data remains fully searchable in the .mv2 file. + +use regex::Regex; + +/// Masks PII (Personally Identifiable Information) in the given text. +/// +/// Detects and replaces common PII patterns with placeholder tokens: +/// - Email addresses → `[EMAIL]` +/// - US Social Security Numbers → `[SSN]` +/// - Phone numbers (various formats) → `[PHONE]` +/// - Credit card numbers → `[CREDIT_CARD]` +/// - IPv4 addresses → `[IP_ADDRESS]` +/// - API keys/tokens (common patterns) → `[API_KEY]` +/// +/// # Example +/// +/// ``` +/// use memvid_core::pii::mask_pii; +/// +/// let text = "Contact me at john@example.com or call 555-123-4567"; +/// let masked = mask_pii(text); +/// assert_eq!(masked, "Contact me at [EMAIL] or call [PHONE]"); +/// ``` +pub fn mask_pii(text: &str) -> String { + let mut masked = text.to_string(); + + // Email addresses + // Matches: john@example.com, user+tag@domain.co.uk + masked = EMAIL_REGEX.replace_all(&masked, "[EMAIL]").to_string(); + + // US Social Security Numbers + // Matches: 123-45-6789, 123 45 6789, 123456789 + masked = SSN_REGEX.replace_all(&masked, "[SSN]").to_string(); + + // Credit card numbers - MUST come before phone numbers! + // Matches: 1234-5678-9012-3456, 1234 5678 9012 3456, 1234567890123456 + // Covers Visa (16 digits), Mastercard (16), Amex (15), Discover (16) + masked = CREDIT_CARD_REGEX + .replace_all(&masked, "[CREDIT_CARD]") + .to_string(); + + // Phone numbers (various formats) + // Matches: (555) 123-4567, 555-123-4567, +1-555-123-4567, 555.123.4567 + masked = PHONE_REGEX.replace_all(&masked, "[PHONE]").to_string(); + + // IPv4 addresses + // Matches: 192.168.1.1, 10.0.0.1 + masked = IPV4_REGEX.replace_all(&masked, "[IP_ADDRESS]").to_string(); + + // API keys and tokens (common patterns) + // Matches: sk_live_..., pk_test_..., ghp_..., AKIA... (AWS), etc. + masked = API_KEY_REGEX.replace_all(&masked, "[API_KEY]").to_string(); + + // Generic token patterns (long alphanumeric strings that look like secrets) + // Matches: bearer tokens, JWT-like strings, etc. + masked = TOKEN_REGEX.replace_all(&masked, "[TOKEN]").to_string(); + + masked +} + +/// Checks if the given text contains any detectable PII. +/// +/// Returns `true` if any PII pattern is found, `false` otherwise. +/// Useful for checking whether masking is needed. +pub fn contains_pii(text: &str) -> bool { + EMAIL_REGEX.is_match(text) + || SSN_REGEX.is_match(text) + || PHONE_REGEX.is_match(text) + || CREDIT_CARD_REGEX.is_match(text) + || IPV4_REGEX.is_match(text) + || API_KEY_REGEX.is_match(text) + || TOKEN_REGEX.is_match(text) +} + +// Regex patterns for PII detection +// Using Lazy to compile regexes once at first use + +static EMAIL_REGEX: std::sync::LazyLock = std::sync::LazyLock::new(|| { + Regex::new(r"\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b").expect("invalid email regex") +}); + +static SSN_REGEX: std::sync::LazyLock = std::sync::LazyLock::new(|| { + // Matches: 123-45-6789, 123 45 6789, or 123456789 + // Uses word boundaries to avoid false positives + Regex::new(r"\b\d{3}[-\s]?\d{2}[-\s]?\d{4}\b").expect("invalid SSN regex") +}); + +static PHONE_REGEX: std::sync::LazyLock = std::sync::LazyLock::new(|| { + // Matches various phone formats: + // (555) 123-4567, 555-123-4567, +1-555-123-4567, 555.123.4567, 5551234567, 555-1234 + Regex::new( + r"(?:\+?1[-.\s]?)?\(?\d{3}\)?[-.\s]?\d{3}[-.\s]?\d{4}\b|\b\d{3}[-.\s]\d{4}\b|\b\d{10}\b", + ) + .expect("invalid phone regex") +}); + +static CREDIT_CARD_REGEX: std::sync::LazyLock = std::sync::LazyLock::new(|| { + // Matches credit card numbers: + // - Standard 16 digits: 4532-1234-5678-9010, 4532 1234 5678 9010 + // - Amex 15 digits: 3782-822463-10005, 3782 822463 10005 + // - No separator: 4532123456789010, 378282246310005 + Regex::new( + r"\b(?:\d{4}[-\s]?\d{6}[-\s]?\d{5}|\d{4}[-\s]?\d{4}[-\s]?\d{4}[-\s]?\d{4}|\d{15,16})\b", + ) + .expect("invalid credit card regex") +}); + +static IPV4_REGEX: std::sync::LazyLock = std::sync::LazyLock::new(|| { + // Matches IPv4 addresses: 192.168.1.1 + Regex::new(r"\b(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\b") + .expect("invalid IPv4 regex") +}); + +static API_KEY_REGEX: std::sync::LazyLock = std::sync::LazyLock::new(|| { + // Matches common API key patterns: + // - Stripe: sk_live_..., pk_test_... + // - GitHub: ghp_..., gho_... + // - AWS: AKIA... + // - Generic: api_key=..., apikey=..., token=... + Regex::new( + r#"(?i)\b(?:sk_live_[a-zA-Z0-9]{24,}|pk_test_[a-zA-Z0-9]{24,}|ghp_[a-zA-Z0-9]{36}|gho_[a-zA-Z0-9]{36}|AKIA[A-Z0-9]{16}|api[-_]?key[:=]\s*['"]?[a-zA-Z0-9_\-]{20,}['"]?)\b"# + ) + .expect("invalid API key regex") +}); + +static TOKEN_REGEX: std::sync::LazyLock = std::sync::LazyLock::new(|| { + // Matches bearer tokens and JWT-like patterns + // Long base64-like strings that look like tokens (40+ chars) + Regex::new(r"\b[A-Za-z0-9_\-]{40,}\.[A-Za-z0-9_\-]{6,}\.[A-Za-z0-9_\-]{6,}\b") + .expect("invalid token regex") +}); + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_mask_email() { + let text = "Contact john.doe+tag@example.com for details"; + let masked = mask_pii(text); + assert_eq!(masked, "Contact [EMAIL] for details"); + } + + #[test] + fn test_mask_multiple_emails() { + let text = "Email alice@test.com or bob@example.org"; + let masked = mask_pii(text); + assert_eq!(masked, "Email [EMAIL] or [EMAIL]"); + } + + #[test] + fn test_mask_ssn() { + let text = "SSN: 123-45-6789"; + let masked = mask_pii(text); + assert_eq!(masked, "SSN: [SSN]"); + } + + #[test] + fn test_mask_ssn_variations() { + assert_eq!(mask_pii("123-45-6789"), "[SSN]"); + assert_eq!(mask_pii("123 45 6789"), "[SSN]"); + assert_eq!(mask_pii("123456789"), "[SSN]"); + } + + #[test] + fn test_mask_phone() { + let text = "Call me at (555) 123-4567"; + let masked = mask_pii(text); + assert_eq!(masked, "Call me at [PHONE]"); + } + + #[test] + fn test_mask_phone_variations() { + assert_eq!(mask_pii("555-123-4567"), "[PHONE]"); + assert_eq!(mask_pii("+1-555-123-4567"), "[PHONE]"); + assert_eq!(mask_pii("555.123.4567"), "[PHONE]"); + assert_eq!(mask_pii("5551234567"), "[PHONE]"); + } + + #[test] + fn test_mask_credit_card() { + let text = "Card: 4532-1234-5678-9010"; + let masked = mask_pii(text); + assert_eq!(masked, "Card: [CREDIT_CARD]"); + } + + #[test] + fn test_mask_credit_card_variations() { + assert_eq!(mask_pii("4532 1234 5678 9010"), "[CREDIT_CARD]"); + assert_eq!(mask_pii("4532123456789010"), "[CREDIT_CARD]"); + // Amex (15 digits) + assert_eq!(mask_pii("3782-822463-10005"), "[CREDIT_CARD]"); + } + + #[test] + fn test_mask_ip_address() { + let text = "Server at 192.168.1.1"; + let masked = mask_pii(text); + assert_eq!(masked, "Server at [IP_ADDRESS]"); + } + + #[test] + fn test_mask_api_key() { + // Use generic api_key= pattern instead of Stripe pattern to avoid GitHub secret scanning + let text = "Use key: api_key=abcdefghij1234567890xyz"; + let masked = mask_pii(text); + assert_eq!(masked, "Use key: [API_KEY]"); + } + + #[test] + fn test_mask_multiple_pii_types() { + let text = "Contact john@example.com at 555-123-4567. SSN: 123-45-6789"; + let masked = mask_pii(text); + assert_eq!(masked, "Contact [EMAIL] at [PHONE]. SSN: [SSN]"); + } + + #[test] + fn test_no_false_positives_on_normal_text() { + let text = "The year 2024 has 365 days."; + let masked = mask_pii(text); + assert_eq!(masked, text); // Should not change + } + + #[test] + fn test_contains_pii() { + assert!(contains_pii("Email: john@example.com")); + assert!(contains_pii("SSN: 123-45-6789")); + assert!(contains_pii("Call 555-1234")); + assert!(!contains_pii("No PII here")); + assert!(!contains_pii("Just numbers: 12345")); + } + + #[test] + fn test_preserves_non_pii_numbers() { + let text = "Invoice #12345 for $100.00"; + let masked = mask_pii(text); + assert_eq!(masked, text); // Should not mask invoice numbers or prices + } + + #[test] + fn test_preserves_dates() { + let text = "Meeting on 2024-01-15"; + let masked = mask_pii(text); + assert_eq!(masked, text); // Should not mask dates as SSN + } +} diff --git a/src/reader/docx.rs b/src/reader/docx.rs new file mode 100644 index 0000000..93cc976 --- /dev/null +++ b/src/reader/docx.rs @@ -0,0 +1,125 @@ +use std::io::{Cursor, Read}; + +use quick_xml::Reader as XmlReader; +use quick_xml::events::Event; +use zip::ZipArchive; + +use crate::{ + DocumentFormat, DocumentReader, PassthroughReader, ReaderDiagnostics, ReaderHint, ReaderOutput, + Result, +}; + +const DOC_XML_PATH: &str = "word/document.xml"; + +pub struct DocxReader; + +impl DocxReader { + fn extract_text(bytes: &[u8]) -> Result { + let cursor = Cursor::new(bytes); + let mut archive = + ZipArchive::new(cursor).map_err(|err| crate::MemvidError::ExtractionFailed { + reason: format!("failed to open docx archive: {err}").into(), + })?; + + let mut file = + archive + .by_name(DOC_XML_PATH) + .map_err(|err| crate::MemvidError::ExtractionFailed { + reason: format!("docx missing document.xml: {err}").into(), + })?; + let mut xml = String::new(); + file.read_to_string(&mut xml) + .map_err(|err| crate::MemvidError::ExtractionFailed { + reason: format!("failed to read document.xml: {err}").into(), + })?; + + Ok(extract_plain_text(&xml, b"w:p")) + } +} + +impl DocumentReader for DocxReader { + fn name(&self) -> &'static str { + "docx" + } + + fn supports(&self, hint: &ReaderHint<'_>) -> bool { + matches!(hint.format, Some(DocumentFormat::Docx)) + || hint.mime.is_some_and(|mime| { + mime.eq_ignore_ascii_case( + "application/vnd.openxmlformats-officedocument.wordprocessingml.document", + ) + }) + } + + fn extract(&self, bytes: &[u8], hint: &ReaderHint<'_>) -> Result { + match Self::extract_text(bytes) { + Ok(text) => { + if text.trim().is_empty() { + // quick-xml returned empty - try extractous as fallback + let mut output = PassthroughReader.extract(bytes, hint)?; + output.reader_name = self.name().to_string(); + output.diagnostics.mark_fallback(); + output.diagnostics.record_warning( + "docx reader produced empty text; falling back to default extractor", + ); + Ok(output) + } else { + // quick-xml succeeded - build output directly WITHOUT calling extractous + let mut document = crate::ExtractedDocument::empty(); + document.text = Some(text); + document.mime_type = Some( + "application/vnd.openxmlformats-officedocument.wordprocessingml.document" + .to_string(), + ); + Ok(ReaderOutput::new(document, self.name()) + .with_diagnostics(ReaderDiagnostics::default())) + } + } + Err(err) => { + // quick-xml failed - try extractous as fallback + let mut fallback = PassthroughReader.extract(bytes, hint)?; + fallback.reader_name = self.name().to_string(); + fallback.diagnostics.mark_fallback(); + fallback + .diagnostics + .record_warning(format!("docx reader error: {err}")); + Ok(fallback) + } + } + } +} + +fn extract_plain_text(xml: &str, block_tag: &[u8]) -> String { + let mut reader = XmlReader::from_str(xml); + reader.trim_text(true); + let mut buf = Vec::new(); + let mut text = String::new(); + let mut first_block = true; + + loop { + match reader.read_event_into(&mut buf) { + Ok(Event::Start(e)) => { + if e.name().as_ref().ends_with(block_tag) { + if !first_block { + text.push('\n'); + } + first_block = false; + } + } + Ok(Event::Text(t)) => { + if let Ok(content) = t.unescape() { + if !content.trim().is_empty() { + text.push_str(content.trim()); + text.push(' '); + } + } + } + Ok(Event::Eof) => break, + Err(_) => break, + _ => (), + } + buf.clear(); + } + + text.trim().to_string() +} diff --git a/src/reader/mod.rs b/src/reader/mod.rs new file mode 100644 index 0000000..66bd822 --- /dev/null +++ b/src/reader/mod.rs @@ -0,0 +1,220 @@ +//! Document reader traits and registry for unified format ingestion. + +mod docx; +mod passthrough; +mod pdf; +mod pptx; +mod xls; +mod xlsx; +pub mod xlsx_chunker; +pub mod xlsx_ooxml; +pub mod xlsx_table_detect; + +use serde_json::Value; + +pub use docx::DocxReader; +pub use passthrough::PassthroughReader; +pub use pdf::PdfReader; +pub use pptx::PptxReader; +pub use xls::XlsReader; +pub use xlsx::{XlsxReader, XlsxStructuredDiagnostics, XlsxStructuredResult}; +pub use xlsx_chunker::XlsxChunkingOptions; +pub use xlsx_table_detect::DetectedTable; + +use crate::{ExtractedDocument, Result}; + +/// Soft classification of document formats used by the ingestion router. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)] +pub enum DocumentFormat { + Pdf, + Docx, + Xlsx, + Xls, + Pptx, + PlainText, + Markdown, + Html, + Jsonl, + Unknown, +} + +impl DocumentFormat { + #[must_use] + pub fn label(self) -> &'static str { + match self { + Self::Pdf => "pdf", + Self::Docx => "docx", + Self::Xlsx => "xlsx", + Self::Xls => "xls", + Self::Pptx => "pptx", + Self::PlainText => "text", + Self::Markdown => "markdown", + Self::Html => "html", + Self::Jsonl => "jsonl", + Self::Unknown => "unknown", + } + } +} + +/// Hint provided to readers before probing/extraction. +#[derive(Debug, Clone)] +pub struct ReaderHint<'a> { + pub mime: Option<&'a str>, + pub format: Option, + pub uri: Option<&'a str>, + pub magic_bytes: Option<&'a [u8]>, +} + +impl<'a> ReaderHint<'a> { + #[must_use] + pub fn new(mime: Option<&'a str>, format: Option) -> Self { + Self { + mime, + format, + uri: None, + magic_bytes: None, + } + } + + #[must_use] + pub fn with_uri(mut self, uri: Option<&'a str>) -> Self { + self.uri = uri; + self + } + + #[must_use] + pub fn with_magic(mut self, magic: Option<&'a [u8]>) -> Self { + self.magic_bytes = magic; + self + } +} + +/// Structured text and metadata extracted from a document, plus routing diagnostics. +#[derive(Debug, Clone)] +pub struct ReaderOutput { + pub document: ExtractedDocument, + pub reader_name: String, + pub diagnostics: ReaderDiagnostics, +} + +impl ReaderOutput { + #[must_use] + pub fn new(document: ExtractedDocument, reader_name: impl Into) -> Self { + Self { + document, + reader_name: reader_name.into(), + diagnostics: ReaderDiagnostics::default(), + } + } + + #[must_use] + pub fn with_diagnostics(mut self, diagnostics: ReaderDiagnostics) -> Self { + self.diagnostics = diagnostics; + self + } +} + +/// Metadata about a reader attempt used for observability and surfacing warnings. +#[derive(Debug, Clone, Default)] +pub struct ReaderDiagnostics { + pub warnings: Vec, + pub fallback: bool, + pub extra_metadata: Value, + pub duration_ms: Option, + pub pages_processed: Option, +} + +impl ReaderDiagnostics { + pub fn record_warning>(&mut self, warning: S) { + self.warnings.push(warning.into()); + } + + pub fn mark_fallback(&mut self) { + self.fallback = true; + } + + #[must_use] + pub fn with_metadata(mut self, value: Value) -> Self { + self.extra_metadata = value; + self + } + + pub fn merge_from(&mut self, other: &ReaderDiagnostics) { + self.warnings.extend(other.warnings.iter().cloned()); + if other.fallback { + self.fallback = true; + } + if !other.extra_metadata.is_null() { + self.extra_metadata = other.extra_metadata.clone(); + } + if other.duration_ms.is_some() { + self.duration_ms = other.duration_ms; + } + if other.pages_processed.is_some() { + self.pages_processed = other.pages_processed; + } + } + + pub fn track_warning>(&mut self, warning: S) { + self.warnings.push(warning.into()); + self.fallback = true; + } +} + +/// Trait implemented by document readers that can extract text from supported formats. +pub trait DocumentReader: Send + Sync { + /// Human-readable name used for diagnostics (e.g., "`document_processor`", "pdfium"). + fn name(&self) -> &'static str; + + /// Return true if this reader is a good match for the provided hint. + fn supports(&self, hint: &ReaderHint<'_>) -> bool; + + /// Extract text and metadata from the provided bytes. + fn extract(&self, bytes: &[u8], hint: &ReaderHint<'_>) -> Result; +} + +/// Registry of document readers used by the ingestion router. +pub struct ReaderRegistry { + readers: Vec>, +} + +impl ReaderRegistry { + #[must_use] + pub fn new() -> Self { + Self { + readers: Vec::new(), + } + } + + pub fn register(&mut self, reader: R) + where + R: DocumentReader + 'static, + { + self.readers.push(Box::new(reader)); + } + + #[must_use] + pub fn readers(&self) -> &[Box] { + &self.readers + } + + pub fn find_reader<'a>(&'a self, hint: &ReaderHint<'_>) -> Option<&'a dyn DocumentReader> { + self.readers + .iter() + .map(std::convert::AsRef::as_ref) + .find(|reader| reader.supports(hint)) + } +} + +impl Default for ReaderRegistry { + fn default() -> Self { + let mut registry = Self::new(); + registry.register(PdfReader); + registry.register(DocxReader); + registry.register(XlsxReader); + registry.register(XlsReader); + registry.register(PptxReader); + registry.register(PassthroughReader); + registry + } +} diff --git a/src/reader/passthrough.rs b/src/reader/passthrough.rs new file mode 100644 index 0000000..ba5eb61 --- /dev/null +++ b/src/reader/passthrough.rs @@ -0,0 +1,47 @@ +use std::sync::OnceLock; + +use crate::{ + DocumentFormat, DocumentProcessor, DocumentReader, ReaderDiagnostics, ReaderHint, ReaderOutput, + Result, +}; + +/// Basic reader that proxies to the global `DocumentProcessor` for formats we +/// already support via Extractous/lopdf. +pub struct PassthroughReader; + +impl PassthroughReader { + fn processor() -> &'static DocumentProcessor { + static PROCESSOR: OnceLock = OnceLock::new(); + PROCESSOR.get_or_init(DocumentProcessor::default) + } + + fn supported_format(format: Option) -> bool { + matches!( + format, + Some( + DocumentFormat::Pdf + | DocumentFormat::PlainText + | DocumentFormat::Markdown + | DocumentFormat::Html + ) | None + ) + } +} + +impl DocumentReader for PassthroughReader { + fn name(&self) -> &'static str { + "document_processor" + } + + fn supports(&self, hint: &ReaderHint<'_>) -> bool { + Self::supported_format(hint.format) + || hint.mime.is_none_or(|mime| { + mime.eq_ignore_ascii_case("application/pdf") || mime.starts_with("text/") + }) + } + + fn extract(&self, bytes: &[u8], _hint: &ReaderHint<'_>) -> Result { + let document = Self::processor().extract_from_bytes(bytes)?; + Ok(ReaderOutput::new(document, self.name()).with_diagnostics(ReaderDiagnostics::default())) + } +} diff --git a/src/reader/pdf.rs b/src/reader/pdf.rs new file mode 100644 index 0000000..862b505 --- /dev/null +++ b/src/reader/pdf.rs @@ -0,0 +1,175 @@ +#[cfg(not(feature = "pdfium"))] +use std::sync::OnceLock; + +use crate::{DocumentFormat, DocumentReader, ReaderHint, ReaderOutput, Result}; + +#[cfg(not(feature = "pdfium"))] +use crate::{DocumentProcessor, ReaderDiagnostics}; + +#[cfg(feature = "pdfium")] +use crate::PassthroughReader; +#[cfg(feature = "pdfium")] +use pdfium_render::prelude::*; +#[cfg(feature = "pdfium")] +use serde_json::json; +#[cfg(feature = "pdfium")] +use std::time::{Duration, Instant}; + +/// Primary PDF reader. Uses Pdfium when enabled, with a graceful fallback to +/// the shared document processor. +pub struct PdfReader; + +#[cfg(feature = "pdfium")] +const PDFIUM_MAX_PAGES: u32 = 4_096; +#[cfg(feature = "pdfium")] +const PDFIUM_MAX_DURATION: Duration = Duration::from_secs(10); +#[cfg(feature = "pdfium")] +const PDFIUM_MAX_BYTES: usize = 128 * 1024 * 1024; + +impl PdfReader { + #[cfg(not(feature = "pdfium"))] + fn processor() -> &'static DocumentProcessor { + static PROCESSOR: OnceLock = OnceLock::new(); + PROCESSOR.get_or_init(DocumentProcessor::default) + } + + fn supports_mime(mime: Option<&str>) -> bool { + mime.is_some_and(|m| m.eq_ignore_ascii_case("application/pdf")) + } + + fn supports_magic(magic: Option<&[u8]>) -> bool { + let mut slice = match magic { + Some(slice) if !slice.is_empty() => slice, + _ => return false, + }; + if slice.starts_with(&[0xEF, 0xBB, 0xBF]) { + slice = &slice[3..]; + } + while let Some((first, rest)) = slice.split_first() { + if first.is_ascii_whitespace() { + slice = rest; + } else { + break; + } + } + slice.starts_with(b"%PDF") + } + + #[cfg(feature = "pdfium")] + fn extract_with_pdfium(bytes: &[u8]) -> Result<(String, u32, u64)> { + if bytes.len() > PDFIUM_MAX_BYTES { + return Err(crate::MemvidError::ExtractionFailed { + reason: format!( + "pdfium payload exceeds limit ({} bytes > {} bytes)", + bytes.len(), + PDFIUM_MAX_BYTES + ) + .into(), + }); + } + let pdfium = Pdfium::bind_to_system_library() + .map(Pdfium::new) + .map_err(|err| crate::MemvidError::ExtractionFailed { + reason: format!("failed to bind pdfium: {err}").into(), + })?; + let start = Instant::now(); + let document = pdfium + .load_pdf_from_byte_slice(bytes, None) + .map_err(|err| crate::MemvidError::ExtractionFailed { + reason: format!("pdfium failed to load pdf: {err}").into(), + })?; + + let mut combined = String::new(); + let mut pages = 0u32; + + for index in 0..document.pages().len() { + if pages >= PDFIUM_MAX_PAGES { + return Err(crate::MemvidError::ExtractionFailed { + reason: format!("pdfium page limit reached (>{} pages)", PDFIUM_MAX_PAGES) + .into(), + }); + } + let page = document.pages().get(index).map_err(|err| { + crate::MemvidError::ExtractionFailed { + reason: format!("pdfium failed to access page {index}: {err}").into(), + } + })?; + let page_text = page + .text() + .map_err(|err| crate::MemvidError::ExtractionFailed { + reason: format!("pdfium failed to extract page {index} text: {err}").into(), + })?; + let chunk = page_text.all(); + combined.push_str(&chunk); + combined.push('\n'); + pages += 1; + } + + let duration_ms = start.elapsed().as_millis().try_into().unwrap_or(u64::MAX); + let trimmed = combined.trim(); + if trimmed.is_empty() { + return Err(crate::MemvidError::ExtractionFailed { + reason: "pdfium produced no textual content".into(), + }); + } + + Ok((trimmed.to_string(), pages, duration_ms)) + } +} + +impl DocumentReader for PdfReader { + fn name(&self) -> &'static str { + "pdf" + } + + fn supports(&self, hint: &ReaderHint<'_>) -> bool { + matches!(hint.format, Some(DocumentFormat::Pdf)) + || Self::supports_mime(hint.mime) + || Self::supports_magic(hint.magic_bytes) + } + + fn extract(&self, bytes: &[u8], hint: &ReaderHint<'_>) -> Result { + #[cfg(feature = "pdfium")] + { + let result = Self::extract_with_pdfium(bytes); + let output = match result { + Ok((text, pages, duration_ms)) => { + let mut base = PassthroughReader.extract(bytes, hint)?; + base.reader_name = self.name().to_string(); + base.document.text = Some(text); + base.diagnostics.duration_ms = Some(duration_ms); + base.diagnostics.pages_processed = Some(pages); + base.diagnostics.extra_metadata = json!({ + "pages": pages, + "reader": "pdfium", + "duration_ms": duration_ms, + }); + if Duration::from_millis(duration_ms) > PDFIUM_MAX_DURATION { + base.diagnostics.track_warning(format!( + "pdfium extraction exceeded timeout {:?}", + PDFIUM_MAX_DURATION + )); + } + base + } + Err(err) => { + let mut fallback = PassthroughReader.extract(bytes, hint)?; + fallback.reader_name = self.name().to_string(); + fallback + .diagnostics + .track_warning(format!("pdfium extraction failed: {err}")); + fallback + } + }; + return Ok(output); + } + + #[cfg(not(feature = "pdfium"))] + { + let _ = hint; + let document = Self::processor().extract_from_bytes(bytes)?; + Ok(ReaderOutput::new(document, self.name()) + .with_diagnostics(ReaderDiagnostics::default())) + } + } +} diff --git a/src/reader/pptx.rs b/src/reader/pptx.rs new file mode 100644 index 0000000..6957f03 --- /dev/null +++ b/src/reader/pptx.rs @@ -0,0 +1,141 @@ +use std::io::{Cursor, Read}; + +use quick_xml::Reader as XmlReader; +use quick_xml::events::Event; +use zip::ZipArchive; + +use crate::{ + DocumentFormat, DocumentReader, PassthroughReader, ReaderDiagnostics, ReaderHint, ReaderOutput, + Result, +}; + +const SLIDE_PREFIX: &str = "ppt/slides/slide"; +const SLIDE_SUFFIX: &str = ".xml"; + +pub struct PptxReader; + +impl PptxReader { + fn extract_text(bytes: &[u8]) -> Result { + let cursor = Cursor::new(bytes); + let mut archive = + ZipArchive::new(cursor).map_err(|err| crate::MemvidError::ExtractionFailed { + reason: format!("failed to open pptx archive: {err}").into(), + })?; + + let mut slides: Vec = Vec::new(); + for i in 1..=archive.len() { + let name = format!("{SLIDE_PREFIX}{i}{SLIDE_SUFFIX}"); + if let Ok(mut file) = archive.by_name(&name) { + let mut xml = String::new(); + file.read_to_string(&mut xml).map_err(|err| { + crate::MemvidError::ExtractionFailed { + reason: format!("failed to read {name}: {err}").into(), + } + })?; + slides.push(xml); + } + } + + if slides.is_empty() { + return Ok(String::new()); + } + + let mut out = String::new(); + for (idx, xml) in slides.iter().enumerate() { + if idx > 0 { + out.push_str("\n\n"); + } + out.push_str(&format!("Slide {}:\n", idx + 1)); + out.push_str(&extract_plain_text(xml, b"p")); + } + + Ok(out.trim().to_string()) + } +} + +impl DocumentReader for PptxReader { + fn name(&self) -> &'static str { + "pptx" + } + + fn supports(&self, hint: &ReaderHint<'_>) -> bool { + matches!(hint.format, Some(DocumentFormat::Pptx)) + || hint.mime.is_some_and(|mime| { + mime.eq_ignore_ascii_case( + "application/vnd.openxmlformats-officedocument.presentationml.presentation", + ) + }) + } + + fn extract(&self, bytes: &[u8], hint: &ReaderHint<'_>) -> Result { + match Self::extract_text(bytes) { + Ok(text) => { + if text.trim().is_empty() { + // quick-xml returned empty - try extractous as fallback + let mut fallback = PassthroughReader.extract(bytes, hint)?; + fallback.reader_name = self.name().to_string(); + fallback.diagnostics.mark_fallback(); + fallback.diagnostics.record_warning( + "pptx reader produced empty text; falling back to default extractor", + ); + Ok(fallback) + } else { + // quick-xml succeeded - build output directly WITHOUT calling extractous + let mut document = crate::ExtractedDocument::empty(); + document.text = Some(text); + document.mime_type = Some( + "application/vnd.openxmlformats-officedocument.presentationml.presentation" + .to_string(), + ); + Ok(ReaderOutput::new(document, self.name()) + .with_diagnostics(ReaderDiagnostics::default())) + } + } + Err(err) => { + // quick-xml failed - try extractous as fallback + let mut fallback = PassthroughReader.extract(bytes, hint)?; + fallback.reader_name = self.name().to_string(); + fallback.diagnostics.mark_fallback(); + fallback + .diagnostics + .record_warning(format!("pptx reader error: {err}")); + Ok(fallback) + } + } + } +} + +fn extract_plain_text(xml: &str, block_suffix: &[u8]) -> String { + let mut reader = XmlReader::from_str(xml); + reader.trim_text(true); + let mut buf = Vec::new(); + let mut text = String::new(); + let mut first_block = true; + + loop { + match reader.read_event_into(&mut buf) { + Ok(Event::Start(e)) => { + if e.name().as_ref().ends_with(block_suffix) { + if !first_block { + text.push('\n'); + } + first_block = false; + } + } + Ok(Event::Text(t)) => { + if let Ok(content) = t.unescape() { + if !content.trim().is_empty() { + text.push_str(content.trim()); + text.push(' '); + } + } + } + Ok(Event::Eof) => break, + Err(_) => break, + _ => (), + } + buf.clear(); + } + + text.trim().to_string() +} diff --git a/src/reader/xls.rs b/src/reader/xls.rs new file mode 100644 index 0000000..952c08a --- /dev/null +++ b/src/reader/xls.rs @@ -0,0 +1,102 @@ +use std::io::Cursor; + +use calamine::{DataType, Reader as CalamineReader, Xls}; + +use crate::{ + DocumentFormat, DocumentReader, PassthroughReader, ReaderDiagnostics, ReaderHint, ReaderOutput, + Result, +}; + +/// Reader for legacy Excel 97-2003 (.xls) files using calamine. +pub struct XlsReader; + +impl XlsReader { + fn extract_text(bytes: &[u8]) -> Result { + let cursor = Cursor::new(bytes); + let mut workbook = + Xls::new(cursor).map_err(|err| crate::MemvidError::ExtractionFailed { + reason: format!("failed to read xls workbook: {err}").into(), + })?; + + let mut out = String::new(); + for sheet_name in workbook.sheet_names().clone() { + if let Some(Ok(range)) = workbook.worksheet_range(&sheet_name) { + if !out.is_empty() { + out.push('\n'); + } + out.push_str(&format!("Sheet: {sheet_name}\n")); + for row in range.rows() { + let mut first_cell = true; + for cell in row { + if !first_cell { + out.push('\t'); + } + first_cell = false; + match cell { + DataType::String(s) => out.push_str(s.trim()), + DataType::Float(v) => out.push_str(&format!("{v}")), + DataType::Int(v) => out.push_str(&format!("{v}")), + DataType::Bool(b) => out.push_str(if *b { "true" } else { "false" }), + DataType::Error(e) => out.push_str(&format!("#{e:?}")), + DataType::Empty => {} + DataType::DateTime(v) => out.push_str(&format!("{v}")), + DataType::DateTimeIso(s) => out.push_str(s), + DataType::Duration(v) => out.push_str(&format!("{v}")), + DataType::DurationIso(s) => out.push_str(s), + } + } + out.push('\n'); + } + } + } + + Ok(out.trim().to_string()) + } +} + +impl DocumentReader for XlsReader { + fn name(&self) -> &'static str { + "xls" + } + + fn supports(&self, hint: &ReaderHint<'_>) -> bool { + matches!(hint.format, Some(DocumentFormat::Xls)) + || hint + .mime + .is_some_and(|mime| mime.eq_ignore_ascii_case("application/vnd.ms-excel")) + } + + fn extract(&self, bytes: &[u8], hint: &ReaderHint<'_>) -> Result { + match Self::extract_text(bytes) { + Ok(text) => { + if text.trim().is_empty() { + // Calamine returned empty - try extractous as fallback + let mut fallback = PassthroughReader.extract(bytes, hint)?; + fallback.reader_name = self.name().to_string(); + fallback.diagnostics.mark_fallback(); + fallback.diagnostics.record_warning( + "xls reader produced empty text; falling back to default extractor", + ); + Ok(fallback) + } else { + // Calamine succeeded - build output directly WITHOUT calling extractous + let mut document = crate::ExtractedDocument::empty(); + document.text = Some(text); + document.mime_type = Some("application/vnd.ms-excel".to_string()); + Ok(ReaderOutput::new(document, self.name()) + .with_diagnostics(ReaderDiagnostics::default())) + } + } + Err(err) => { + // Calamine failed - try extractous as fallback + let mut fallback = PassthroughReader.extract(bytes, hint)?; + fallback.reader_name = self.name().to_string(); + fallback.diagnostics.mark_fallback(); + fallback + .diagnostics + .record_warning(format!("xls reader error: {err}")); + Ok(fallback) + } + } + } +} diff --git a/src/reader/xlsx.rs b/src/reader/xlsx.rs new file mode 100644 index 0000000..7b7faf7 --- /dev/null +++ b/src/reader/xlsx.rs @@ -0,0 +1,228 @@ +use std::io::Cursor; + +use calamine::{DataType, Reader as CalamineReader, Xlsx}; + +use super::xlsx_chunker::{XlsxChunkingOptions, chunk_workbook, generate_flat_text}; +use super::xlsx_ooxml::{OoxmlMetadata, parse_ooxml_metadata}; +use super::xlsx_table_detect::{CellValue, DetectedTable, SheetGrid, detect_tables}; +use crate::{ + DocumentFormat, DocumentReader, PassthroughReader, ReaderDiagnostics, ReaderHint, ReaderOutput, + Result, types::structure::ChunkingResult, +}; + +/// Result of the structured XLSX extraction pipeline. +pub struct XlsxStructuredResult { + /// Backward-compatible flat text. + pub text: String, + /// Detected tables with metadata. + pub tables: Vec, + /// Semantic chunks with header-value pairing. + pub chunks: ChunkingResult, + /// OOXML metadata (number formats, merged regions, etc.). + pub metadata: OoxmlMetadata, + /// Extraction diagnostics. + pub diagnostics: XlsxStructuredDiagnostics, +} + +/// Diagnostics from structured extraction. +pub struct XlsxStructuredDiagnostics { + pub warnings: Vec, +} + +pub struct XlsxReader; + +impl XlsxReader { + /// Build `SheetGrid`s from raw XLSX bytes using calamine. + fn build_grids(bytes: &[u8]) -> Result> { + let cursor = Cursor::new(bytes); + let mut workbook = + Xlsx::new(cursor).map_err(|err| crate::MemvidError::ExtractionFailed { + reason: format!("failed to read xlsx workbook: {err}").into(), + })?; + + let sheet_names: Vec = workbook.sheet_names().clone(); + let mut grids = Vec::new(); + + for sheet_name in &sheet_names { + let Some(Ok(range)) = workbook.worksheet_range(sheet_name) else { + continue; + }; + + let mut grid = SheetGrid::new(sheet_name.clone()); + #[allow(clippy::cast_possible_truncation)] + let num_rows = range.height() as u32; + #[allow(clippy::cast_possible_truncation)] + let num_cols = range.width() as u32; + + for row in range.rows() { + let cells: Vec = row + .iter() + .map(|cell| match cell { + DataType::String(s) => CellValue::Text(s.clone()), + DataType::Float(v) => CellValue::Number(*v), + DataType::Int(v) => CellValue::Integer(*v), + DataType::Bool(b) => CellValue::Boolean(*b), + DataType::DateTime(v) => CellValue::Number(*v), + DataType::DateTimeIso(s) => CellValue::DateTime(s.clone()), + DataType::Duration(v) => CellValue::Number(*v), + DataType::DurationIso(s) => CellValue::Text(s.clone()), + DataType::Error(e) => CellValue::Error(format!("#{e:?}")), + DataType::Empty => CellValue::Empty, + }) + .collect(); + grid.rows.push(cells); + } + + grid.num_rows = num_rows; + grid.num_cols = num_cols; + grids.push(grid); + } + + Ok(grids) + } + + /// Extract structured data from XLSX bytes with default options. + pub fn extract_structured(bytes: &[u8]) -> Result { + Self::extract_structured_with_options(bytes, XlsxChunkingOptions::default()) + } + + /// Extract structured data from XLSX bytes with custom chunking options. + pub fn extract_structured_with_options( + bytes: &[u8], + options: XlsxChunkingOptions, + ) -> Result { + let grids = Self::build_grids(bytes)?; + let metadata = parse_ooxml_metadata(bytes).unwrap_or_default(); + + let mut all_tables = Vec::new(); + let mut warnings = Vec::new(); + + for grid in &grids { + let sheet_merged = metadata + .merged_regions + .get(&grid.sheet_name) + .cloned() + .unwrap_or_default(); + let sheet_ooxml_tables: Vec<_> = metadata + .table_defs + .iter() + .filter(|t| t.sheet_name == grid.sheet_name) + .cloned() + .collect(); + + let tables = detect_tables(grid, &sheet_ooxml_tables, &sheet_merged); + if tables.is_empty() { + warnings.push(format!("No tables detected in sheet '{}'", grid.sheet_name)); + } + all_tables.extend(tables); + } + + let chunks = chunk_workbook(&grids, &all_tables, &metadata, &options); + let text = generate_flat_text(&grids, &all_tables, &metadata); + + // Merge chunker warnings + warnings.extend(chunks.warnings.iter().cloned()); + + Ok(XlsxStructuredResult { + text, + tables: all_tables, + chunks, + metadata, + diagnostics: XlsxStructuredDiagnostics { warnings }, + }) + } + + fn extract_text(bytes: &[u8]) -> Result { + let cursor = Cursor::new(bytes); + let mut workbook = + Xlsx::new(cursor).map_err(|err| crate::MemvidError::ExtractionFailed { + reason: format!("failed to read xlsx workbook: {err}").into(), + })?; + + let mut out = String::new(); + for sheet_name in workbook.sheet_names().clone() { + if let Some(Ok(range)) = workbook.worksheet_range(&sheet_name) { + if !out.is_empty() { + out.push('\n'); + } + out.push_str(&format!("Sheet: {sheet_name}\n")); + for row in range.rows() { + let mut first_cell = true; + for cell in row { + if !first_cell { + out.push('\t'); + } + first_cell = false; + match cell { + DataType::String(s) => out.push_str(s.trim()), + DataType::Float(v) => out.push_str(&format!("{v}")), + DataType::Int(v) => out.push_str(&format!("{v}")), + DataType::Bool(b) => out.push_str(if *b { "true" } else { "false" }), + DataType::Error(e) => out.push_str(&format!("#{e:?}")), + DataType::Empty => {} + DataType::DateTime(v) => out.push_str(&format!("{v}")), + DataType::DateTimeIso(s) => out.push_str(s), + DataType::Duration(v) => out.push_str(&format!("{v}")), + DataType::DurationIso(s) => out.push_str(s), + } + } + out.push('\n'); + } + } + } + + Ok(out.trim().to_string()) + } +} + +impl DocumentReader for XlsxReader { + fn name(&self) -> &'static str { + "xlsx" + } + + fn supports(&self, hint: &ReaderHint<'_>) -> bool { + matches!(hint.format, Some(DocumentFormat::Xlsx)) + || hint.mime.is_some_and(|mime| { + mime.eq_ignore_ascii_case( + "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", + ) + }) + } + + fn extract(&self, bytes: &[u8], hint: &ReaderHint<'_>) -> Result { + match Self::extract_text(bytes) { + Ok(text) => { + if text.trim().is_empty() { + // Calamine returned empty - try extractous as fallback + let mut fallback = PassthroughReader.extract(bytes, hint)?; + fallback.reader_name = self.name().to_string(); + fallback.diagnostics.mark_fallback(); + fallback.diagnostics.record_warning( + "xlsx reader produced empty text; falling back to default extractor", + ); + Ok(fallback) + } else { + // Calamine succeeded - build output directly WITHOUT calling extractous + let mut document = crate::ExtractedDocument::empty(); + document.text = Some(text); + document.mime_type = Some( + "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" + .to_string(), + ); + Ok(ReaderOutput::new(document, self.name()) + .with_diagnostics(ReaderDiagnostics::default())) + } + } + Err(err) => { + // Calamine failed - try extractous as fallback + let mut fallback = PassthroughReader.extract(bytes, hint)?; + fallback.reader_name = self.name().to_string(); + fallback.diagnostics.mark_fallback(); + fallback + .diagnostics + .record_warning(format!("xlsx reader error: {err}")); + Ok(fallback) + } + } + } +} diff --git a/src/reader/xlsx_chunker.rs b/src/reader/xlsx_chunker.rs new file mode 100644 index 0000000..9cdf93d --- /dev/null +++ b/src/reader/xlsx_chunker.rs @@ -0,0 +1,512 @@ +//! Row-aligned semantic chunking for XLSX spreadsheets. +//! +//! Produces structure-aware chunks that: +//! - Never split a row across chunks +//! - Prefix every chunk with sheet/table context and header row +//! - Format rows as `Header: Value | Header: Value` for search accuracy +//! - Skip empty cells for compact output +#![allow(clippy::cast_possible_truncation, clippy::cast_sign_loss)] + +use crate::types::structure::{ChunkingResult, StructuredChunk}; + +use super::xlsx_ooxml::{ + NumFmtKind, OoxmlMetadata, excel_serial_to_iso, format_currency, format_percentage, +}; +use super::xlsx_table_detect::{CellValue, DetectedTable, SheetGrid}; + +/// Default target chunk size in characters. +const DEFAULT_MAX_CHUNK_CHARS: usize = 1200; + +/// Maximum number of chunks to produce from a single workbook. +const MAX_SPREADSHEET_CHUNKS: usize = 500; + +/// Options for XLSX semantic chunking. +#[derive(Debug, Clone)] +pub struct XlsxChunkingOptions { + pub max_chars: usize, + pub max_chunks: usize, +} + +impl Default for XlsxChunkingOptions { + fn default() -> Self { + Self { + max_chars: DEFAULT_MAX_CHUNK_CHARS, + max_chunks: MAX_SPREADSHEET_CHUNKS, + } + } +} + +/// Format a cell value using OOXML metadata for type-aware rendering. +#[must_use] +pub fn format_cell_value( + cell: &CellValue, + fmt_kind: NumFmtKind, + _metadata: &OoxmlMetadata, +) -> String { + match (cell, fmt_kind) { + (CellValue::Empty, _) => String::new(), + (CellValue::Text(s), _) => s.trim().to_string(), + (CellValue::Number(v), NumFmtKind::Date | NumFmtKind::DateTime) => { + excel_serial_to_iso(*v).unwrap_or_else(|| format!("{v}")) + } + (CellValue::Number(v), NumFmtKind::Percentage) => format_percentage(*v), + (CellValue::Number(v), NumFmtKind::Currency) => format_currency(*v, "$"), + (CellValue::Number(v), _) => { + // Clean up float display — use integer format if no fractional part + if (v.fract()).abs() < 1e-10 { + format!("{}", *v as i64) + } else { + format!("{v}") + } + } + (CellValue::Integer(v), NumFmtKind::Date | NumFmtKind::DateTime) => { + excel_serial_to_iso(*v as f64).unwrap_or_else(|| format!("{v}")) + } + (CellValue::Integer(v), NumFmtKind::Percentage) => format_percentage(*v as f64), + (CellValue::Integer(v), NumFmtKind::Currency) => format_currency(*v as f64, "$"), + (CellValue::Integer(v), _) => format!("{v}"), + (CellValue::Boolean(b), _) => if *b { "true" } else { "false" }.to_string(), + (CellValue::DateTime(s), _) => s.clone(), + (CellValue::Error(s), _) => s.clone(), + } +} + +/// Format a single row as `Header: Value | Header: Value`, skipping empty cells. +fn format_row_with_headers( + grid: &SheetGrid, + row_idx: u32, + headers: &[String], + first_col: u32, + last_col: u32, + metadata: &OoxmlMetadata, +) -> String { + let mut parts = Vec::new(); + + for col in first_col..=last_col { + let cell = grid.cell(row_idx, col); + if cell.is_empty() { + continue; + } + + let fmt_kind = grid.num_fmt(row_idx, col); + let formatted = format_cell_value(cell, fmt_kind, metadata); + if formatted.is_empty() { + continue; + } + + let col_offset = (col - first_col) as usize; + let header = headers.get(col_offset).filter(|h| !h.is_empty()).cloned(); + + if let Some(h) = header { + parts.push(format!("{h}: {formatted}")); + } else { + parts.push(formatted); + } + } + + parts.join(" | ") +} + +/// Build a context prefix for a chunk: `[Sheet: X] [Table: Y]` +fn build_context_prefix(sheet_name: &str, table_name: &str) -> String { + format!("[Sheet: {sheet_name}] [Table: {table_name}]") +} + +/// Build a header line: `Header1 | Header2 | Header3` +fn build_header_line(headers: &[String]) -> String { + let nonempty: Vec<&str> = headers + .iter() + .map(String::as_str) + .filter(|h| !h.is_empty()) + .collect(); + if nonempty.is_empty() { + String::new() + } else { + nonempty.join(" | ") + } +} + +/// Chunk a single detected table into structure-aware chunks. +fn chunk_table( + grid: &SheetGrid, + table: &DetectedTable, + metadata: &OoxmlMetadata, + options: &XlsxChunkingOptions, + chunk_index_start: usize, +) -> Vec { + let context_prefix = build_context_prefix(&table.sheet_name, &table.name); + let header_line = build_header_line(&table.headers); + + // Build the fixed prefix that goes into every chunk + let fixed_prefix = if header_line.is_empty() { + format!("{context_prefix}\n") + } else { + format!("{context_prefix}\n{header_line}\n") + }; + let prefix_len = fixed_prefix.len(); + + // Format all data rows + let mut formatted_rows: Vec = Vec::new(); + for row_idx in table.first_data_row..=table.last_data_row { + let line = format_row_with_headers( + grid, + row_idx, + &table.headers, + table.first_col, + table.last_col, + metadata, + ); + if !line.is_empty() { + formatted_rows.push(line); + } + } + + if formatted_rows.is_empty() { + return Vec::new(); + } + + // Bin-pack rows into chunks, respecting max_chars + let mut chunks = Vec::new(); + let mut current_rows: Vec = Vec::new(); + let mut current_len = prefix_len; + + for row_text in &formatted_rows { + let row_len = row_text.len() + 1; // +1 for newline + + if !current_rows.is_empty() && current_len + row_len > options.max_chars { + // Emit current chunk + let text = format!("{fixed_prefix}{}", current_rows.join("\n")); + chunks.push(text); + current_rows.clear(); + current_len = prefix_len; + } + + current_rows.push(row_text.clone()); + current_len += row_len; + } + + // Emit final chunk + if !current_rows.is_empty() { + let text = format!("{fixed_prefix}{}", current_rows.join("\n")); + chunks.push(text); + } + + // Convert to StructuredChunk + let total_parts = chunks.len() as u32; + let table_id = format!("{}:{}", table.sheet_name, table.name); + + chunks + .into_iter() + .enumerate() + .map(|(i, text)| { + let char_count = text.len(); + let idx = chunk_index_start + i; + + if total_parts == 1 { + StructuredChunk::table(text, idx, &table_id, 0, char_count) + } else { + StructuredChunk::table_continuation( + text, + idx, + &table_id, + (i + 1) as u32, + total_parts, + &fixed_prefix, + 0, + char_count, + ) + } + }) + .collect() +} + +/// Chunk an entire workbook's detected tables into structured chunks. +#[must_use] +pub fn chunk_workbook( + grids: &[SheetGrid], + tables: &[DetectedTable], + metadata: &OoxmlMetadata, + options: &XlsxChunkingOptions, +) -> ChunkingResult { + let mut result = ChunkingResult::empty(); + let mut chunk_index = 0; + + for table in tables { + // Find the grid for this table's sheet + let Some(grid) = grids.iter().find(|g| g.sheet_name == table.sheet_name) else { + result.warn(format!( + "No grid found for sheet '{}', skipping table '{}'", + table.sheet_name, table.name + )); + continue; + }; + + let table_chunks = chunk_table(grid, table, metadata, options, chunk_index); + + if table_chunks.len() > 1 { + result.tables_split += 1; + } + result.tables_processed += 1; + chunk_index += table_chunks.len(); + result.chunks.extend(table_chunks); + + // Respect global chunk limit + if result.chunks.len() >= options.max_chunks { + result.warn(format!( + "Hit max chunk limit ({}) — remaining tables skipped", + options.max_chunks + )); + result.chunks.truncate(options.max_chunks); + break; + } + } + + result +} + +/// Generate backward-compatible flat text from grids (for `ReaderOutput.document.text`). +#[must_use] +pub fn generate_flat_text( + grids: &[SheetGrid], + tables: &[DetectedTable], + metadata: &OoxmlMetadata, +) -> String { + let mut out = String::new(); + + for table in tables { + let grid = match grids.iter().find(|g| g.sheet_name == table.sheet_name) { + Some(g) => g, + None => continue, + }; + + if !out.is_empty() { + out.push('\n'); + } + out.push_str(&format!("Sheet: {}\n", table.sheet_name)); + + // Header line + if !table.headers.is_empty() { + let header_line = table + .headers + .iter() + .filter(|h| !h.is_empty()) + .cloned() + .collect::>() + .join(" | "); + if !header_line.is_empty() { + out.push_str(&header_line); + out.push('\n'); + } + } + + // Data rows + for row_idx in table.first_data_row..=table.last_data_row { + let line = format_row_with_headers( + grid, + row_idx, + &table.headers, + table.first_col, + table.last_col, + metadata, + ); + if !line.is_empty() { + out.push_str(&line); + out.push('\n'); + } + } + } + + out.trim().to_string() +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::reader::xlsx_table_detect::SheetGrid; + use crate::types::structure::ChunkType; + + fn make_grid(data: Vec>, sheet_name: &str) -> SheetGrid { + let num_rows = data.len() as u32; + let num_cols = data.iter().map(|r| r.len()).max().unwrap_or(0) as u32; + SheetGrid { + sheet_name: sheet_name.to_string(), + rows: data, + num_fmt_kinds: Vec::new(), + num_rows, + num_cols, + } + } + + #[test] + fn test_format_cell_value_date() { + let metadata = OoxmlMetadata::default(); + let cell = CellValue::Number(44927.0); + let result = format_cell_value(&cell, NumFmtKind::Date, &metadata); + assert_eq!(result, "2023-01-01"); + } + + #[test] + fn test_format_cell_value_percentage() { + let metadata = OoxmlMetadata::default(); + let cell = CellValue::Number(0.153); + let result = format_cell_value(&cell, NumFmtKind::Percentage, &metadata); + assert_eq!(result, "15.3%"); + } + + #[test] + fn test_format_cell_value_currency() { + let metadata = OoxmlMetadata::default(); + let cell = CellValue::Number(1234.56); + let result = format_cell_value(&cell, NumFmtKind::Currency, &metadata); + assert_eq!(result, "$1234.56"); + } + + #[test] + fn test_format_row_with_headers() { + let grid = make_grid( + vec![vec![ + CellValue::Text("Alice".into()), + CellValue::Integer(30), + CellValue::Text("Austin".into()), + ]], + "Sheet1", + ); + let metadata = OoxmlMetadata::default(); + let headers = vec!["Name".to_string(), "Age".to_string(), "City".to_string()]; + + let result = format_row_with_headers(&grid, 0, &headers, 0, 2, &metadata); + assert_eq!(result, "Name: Alice | Age: 30 | City: Austin"); + } + + #[test] + fn test_format_row_skips_empty() { + let grid = make_grid( + vec![vec![ + CellValue::Text("Alice".into()), + CellValue::Empty, + CellValue::Text("Austin".into()), + ]], + "Sheet1", + ); + let metadata = OoxmlMetadata::default(); + let headers = vec!["Name".to_string(), "Age".to_string(), "City".to_string()]; + + let result = format_row_with_headers(&grid, 0, &headers, 0, 2, &metadata); + assert_eq!(result, "Name: Alice | City: Austin"); + } + + #[test] + fn test_chunk_table_single_chunk() { + let grid = make_grid( + vec![ + vec![ + CellValue::Text("Name".into()), + CellValue::Text("Value".into()), + ], + vec![CellValue::Text("A".into()), CellValue::Integer(100)], + vec![CellValue::Text("B".into()), CellValue::Integer(200)], + ], + "Sheet1", + ); + let metadata = OoxmlMetadata::default(); + let table = DetectedTable { + name: "Revenue".to_string(), + sheet_name: "Sheet1".to_string(), + headers: vec!["Name".to_string(), "Value".to_string()], + column_types: vec![], + first_data_row: 1, + last_data_row: 2, + first_col: 0, + last_col: 1, + header_row: Some(0), + confidence: 0.7, + }; + + let options = XlsxChunkingOptions::default(); + let chunks = chunk_table(&grid, &table, &metadata, &options, 0); + + assert_eq!(chunks.len(), 1); + let text = &chunks[0].text; + assert!(text.contains("[Sheet: Sheet1] [Table: Revenue]")); + assert!(text.contains("Name | Value")); + assert!(text.contains("Name: A | Value: 100")); + assert!(text.contains("Name: B | Value: 200")); + assert_eq!(chunks[0].chunk_type, ChunkType::Table); + } + + #[test] + fn test_chunk_table_splits_large() { + let mut rows = vec![vec![ + CellValue::Text("Col1".into()), + CellValue::Text("Col2".into()), + ]]; + // Add 50 data rows to exceed a small chunk limit + for i in 0..50 { + rows.push(vec![ + CellValue::Text(format!("Row{i} long text that takes up space in the chunk")), + CellValue::Integer(i as i64 * 1000), + ]); + } + + let grid = make_grid(rows, "Sheet1"); + let metadata = OoxmlMetadata::default(); + let table = DetectedTable { + name: "Data".to_string(), + sheet_name: "Sheet1".to_string(), + headers: vec!["Col1".to_string(), "Col2".to_string()], + column_types: vec![], + first_data_row: 1, + last_data_row: 50, + first_col: 0, + last_col: 1, + header_row: Some(0), + confidence: 0.7, + }; + + let options = XlsxChunkingOptions { + max_chars: 300, + max_chunks: 100, + }; + let chunks = chunk_table(&grid, &table, &metadata, &options, 0); + + assert!(chunks.len() > 1, "Should split into multiple chunks"); + // Every chunk should have the header context + for chunk in &chunks { + assert!(chunk.text.contains("[Sheet: Sheet1]")); + assert!(chunk.text.contains("Col1 | Col2")); + assert_eq!(chunk.chunk_type, ChunkType::TableContinuation); + } + } + + #[test] + fn test_generate_flat_text() { + let grid = make_grid( + vec![ + vec![ + CellValue::Text("Name".into()), + CellValue::Text("Score".into()), + ], + vec![CellValue::Text("Alice".into()), CellValue::Integer(95)], + ], + "Results", + ); + let metadata = OoxmlMetadata::default(); + let table = DetectedTable { + name: "Scores".to_string(), + sheet_name: "Results".to_string(), + headers: vec!["Name".to_string(), "Score".to_string()], + column_types: vec![], + first_data_row: 1, + last_data_row: 1, + first_col: 0, + last_col: 1, + header_row: Some(0), + confidence: 0.7, + }; + + let text = generate_flat_text(&[grid], &[table], &metadata); + assert!(text.contains("Sheet: Results")); + assert!(text.contains("Name | Score")); + assert!(text.contains("Name: Alice | Score: 95")); + } +} diff --git a/src/reader/xlsx_ooxml.rs b/src/reader/xlsx_ooxml.rs new file mode 100644 index 0000000..651c8c8 --- /dev/null +++ b/src/reader/xlsx_ooxml.rs @@ -0,0 +1,611 @@ +//! OOXML metadata parser for XLSX files. +//! +//! Extracts metadata that calamine cannot provide: +//! - Number format classification (dates, currency, percentages) +//! - Merged cell regions +//! - Named table definitions +//! +//! Parses XML files from the XLSX zip: +//! - `xl/styles.xml` → number formats + cell XF mappings +//! - `xl/worksheets/sheetN.xml` → merged cell regions +#![allow(clippy::cast_possible_truncation, clippy::cast_sign_loss)] + +use std::collections::HashMap; +use std::io::{Cursor, Read}; + +use quick_xml::Reader as XmlReader; +use quick_xml::events::Event; +use serde::{Deserialize, Serialize}; +use zip::ZipArchive; + +use crate::Result; + +/// Classification of Excel number formats. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize, Default)] +#[serde(rename_all = "snake_case")] +pub enum NumFmtKind { + #[default] + General, + Number, + Date, + Time, + DateTime, + Currency, + Percentage, + Scientific, + Text, +} + +/// A merged cell region in a worksheet. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct MergedRegion { + pub top_row: u32, + pub left_col: u32, + pub bottom_row: u32, + pub right_col: u32, +} + +/// A named table definition from OOXML. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct TableDefinition { + pub name: String, + pub sheet_name: String, + pub headers: Vec, + pub first_row: u32, + pub last_row: u32, + pub first_col: u32, + pub last_col: u32, +} + +/// All OOXML metadata extracted from an XLSX file. +#[derive(Debug, Clone, Default)] +pub struct OoxmlMetadata { + /// Map from numFmtId → format kind + pub num_fmts: HashMap, + /// Cell XF entries: index → numFmtId (the cellXfs array from styles.xml) + pub cell_xfs: Vec, + /// Merged regions per sheet name + pub merged_regions: HashMap>, + /// Named table definitions + pub table_defs: Vec, +} + +impl OoxmlMetadata { + /// Get the number format kind for a cell XF index (the `s` attribute on `` elements). + #[must_use] + pub fn num_fmt_for_xf(&self, xf_index: u32) -> NumFmtKind { + self.cell_xfs + .get(xf_index as usize) + .and_then(|fmt_id| self.num_fmts.get(fmt_id)) + .copied() + .unwrap_or(NumFmtKind::General) + } +} + +/// Classify a built-in Excel number format ID. +/// +/// Excel reserves IDs 0-163 for built-in formats. The key date/time/currency ranges: +/// - 0: General +/// - 1-11: Number formats +/// - 14-22: Date/Time formats +/// - 37-44: Accounting/Currency +/// - 45-48: Time/Duration +/// - 49: Text (@) +fn classify_builtin_fmt(id: u32) -> NumFmtKind { + match id { + 0 => NumFmtKind::General, + 1..=4 | 37..=40 => NumFmtKind::Number, + 5..=8 | 41..=44 => NumFmtKind::Currency, + 9 | 10 => NumFmtKind::Percentage, + 11 => NumFmtKind::Scientific, + 14..=17 => NumFmtKind::Date, + 18..=21 => NumFmtKind::Time, + 22 => NumFmtKind::DateTime, + 45..=48 => NumFmtKind::Time, + 49 => NumFmtKind::Text, + _ => NumFmtKind::General, + } +} + +/// Classify a custom format code string by inspecting its characters. +fn classify_format_code(code: &str) -> NumFmtKind { + let lower = code.to_ascii_lowercase(); + // Remove escaped sequences and quoted strings + let cleaned = remove_quoted_sections(&lower); + + let has_date = cleaned.contains('y') || cleaned.contains('d'); + let has_month = cleaned.contains('m'); + let has_time = cleaned.contains('h') || cleaned.contains('s'); + let has_ampm = cleaned.contains("am/pm") || cleaned.contains("a/p"); + + if has_date && has_time { + return NumFmtKind::DateTime; + } + if has_date { + return NumFmtKind::Date; + } + // 'm' alone with time indicators is minutes, not months + if has_time || has_ampm { + return NumFmtKind::Time; + } + // After ruling out date/time, check for m alone (month) + if has_month && !cleaned.contains('#') && !cleaned.contains('0') { + return NumFmtKind::Date; + } + + if cleaned.contains('%') { + return NumFmtKind::Percentage; + } + if cleaned.contains("e+") || cleaned.contains("e-") { + return NumFmtKind::Scientific; + } + if cleaned.contains('$') + || cleaned.contains('\u{20ac}') + || cleaned.contains('\u{00a3}') + || cleaned.contains('\u{00a5}') + || cleaned.contains("eur") + || cleaned.contains("usd") + || cleaned.contains("gbp") + { + return NumFmtKind::Currency; + } + if cleaned.contains('@') { + return NumFmtKind::Text; + } + if cleaned.contains('#') || cleaned.contains('0') { + return NumFmtKind::Number; + } + + NumFmtKind::General +} + +/// Remove quoted sections (e.g., "text") and escaped chars (e.g., \x) from a format code. +fn remove_quoted_sections(code: &str) -> String { + let mut result = String::with_capacity(code.len()); + let mut chars = code.chars().peekable(); + while let Some(ch) = chars.next() { + if ch == '"' { + // Skip until closing quote + for c in chars.by_ref() { + if c == '"' { + break; + } + } + } else if ch == '\\' { + // Skip next char (escaped literal) + let _ = chars.next(); + } else { + result.push(ch); + } + } + result +} + +/// Parse a cell reference like "A1" or "AZ100" into (row, col) 0-based. +#[must_use] +pub fn parse_cell_ref(cell_ref: &str) -> Option<(u32, u32)> { + let mut col_str = String::new(); + let mut row_str = String::new(); + + for ch in cell_ref.chars() { + if ch.is_ascii_alphabetic() { + col_str.push(ch.to_ascii_uppercase()); + } else if ch.is_ascii_digit() { + row_str.push(ch); + } + } + + if col_str.is_empty() || row_str.is_empty() { + return None; + } + + let col = col_str + .chars() + .fold(0u32, |acc, c| acc * 26 + (c as u32 - b'A' as u32 + 1)) + .saturating_sub(1); + let row = row_str.parse::().ok()?.saturating_sub(1); + + Some((row, col)) +} + +/// Parse a range reference like "A1:D10" into ((top_row, left_col), (bottom_row, right_col)). +#[must_use] +pub fn parse_range_ref(range_ref: &str) -> Option<((u32, u32), (u32, u32))> { + let parts: Vec<&str> = range_ref.split(':').collect(); + if parts.len() != 2 { + return None; + } + let start = parse_cell_ref(parts[0])?; + let end = parse_cell_ref(parts[1])?; + Some((start, end)) +} + +/// Extract OOXML metadata from an XLSX file's bytes. +/// +/// Parses styles.xml for number formats and worksheet XMLs for merged cells. +/// Table definitions come from calamine's native table support (calamine 0.25+). +pub fn parse_ooxml_metadata(xlsx_bytes: &[u8]) -> Result { + let cursor = Cursor::new(xlsx_bytes); + let mut archive = + ZipArchive::new(cursor).map_err(|err| crate::MemvidError::ExtractionFailed { + reason: format!("failed to open xlsx zip: {err}").into(), + })?; + + let mut metadata = OoxmlMetadata::default(); + + // Seed built-in formats + for id in 0..=49 { + let kind = classify_builtin_fmt(id); + if kind != NumFmtKind::General { + metadata.num_fmts.insert(id, kind); + } + } + + // Parse styles.xml + if let Ok(styles_xml) = read_zip_entry(&mut archive, "xl/styles.xml") { + parse_styles_xml(&styles_xml, &mut metadata); + } + + // Parse worksheet XMLs for merged cells + let sheet_names = collect_sheet_filenames(&mut archive); + for (sheet_name, zip_path) in &sheet_names { + if let Ok(sheet_xml) = read_zip_entry(&mut archive, zip_path) { + let regions = parse_merge_cells_xml(&sheet_xml); + if !regions.is_empty() { + metadata.merged_regions.insert(sheet_name.clone(), regions); + } + } + } + + Ok(metadata) +} + +/// Read a file entry from a zip archive into a string. +fn read_zip_entry( + archive: &mut ZipArchive>, + path: &str, +) -> std::result::Result { + let mut file = archive.by_name(path).map_err(|_| ())?; + let mut buf = String::new(); + file.read_to_string(&mut buf).map_err(|_| ())?; + Ok(buf) +} + +/// Collect worksheet file paths from the zip, mapping sheet index to zip path. +/// Returns (sheet_display_name, zip_path) pairs. +fn collect_sheet_filenames(archive: &mut ZipArchive>) -> Vec<(String, String)> { + let mut sheets = Vec::new(); + + // First try to read workbook.xml for sheet names + let sheet_names_from_wb = if let Ok(wb_xml) = read_zip_entry(archive, "xl/workbook.xml") { + parse_workbook_sheet_names(&wb_xml) + } else { + Vec::new() + }; + + // Match sheet names to worksheet files + for i in 0..archive.len() { + if let Ok(file) = archive.by_index(i) { + let name = file.name().to_string(); + if name.starts_with("xl/worksheets/sheet") && name.ends_with(".xml") { + // Extract sheet number from filename (e.g., "sheet1.xml" -> 0) + let num_str = name + .trim_start_matches("xl/worksheets/sheet") + .trim_end_matches(".xml"); + if let Ok(num) = num_str.parse::() { + let display_name = sheet_names_from_wb + .get(num.saturating_sub(1)) + .cloned() + .unwrap_or_else(|| format!("Sheet{num}")); + sheets.push((display_name, name)); + } + } + } + } + + sheets +} + +/// Parse workbook.xml to extract sheet display names in order. +fn parse_workbook_sheet_names(xml: &str) -> Vec { + let mut reader = XmlReader::from_str(xml); + reader.trim_text(true); + let mut names = Vec::new(); + let mut buf = Vec::new(); + let mut in_sheets = false; + + loop { + match reader.read_event_into(&mut buf) { + Ok(Event::Start(ref e) | Event::Empty(ref e)) if e.name().as_ref() == b"sheets" => { + in_sheets = true; + } + Ok(Event::Start(ref e) | Event::Empty(ref e)) + if in_sheets && e.name().as_ref() == b"sheet" => + { + for attr in e.attributes().flatten() { + if attr.key.as_ref() == b"name" { + if let Ok(val) = attr.decode_and_unescape_value(&reader) { + names.push(val.to_string()); + } + } + } + } + Ok(Event::End(ref e)) if e.name().as_ref() == b"sheets" => { + in_sheets = false; + } + Ok(Event::Eof) => break, + Err(_) => break, + _ => {} + } + buf.clear(); + } + + names +} + +/// Parse styles.xml to extract numFmt definitions and cellXfs mappings. +fn parse_styles_xml(xml: &str, metadata: &mut OoxmlMetadata) { + let mut reader = XmlReader::from_str(xml); + reader.trim_text(true); + let mut buf = Vec::new(); + let mut in_num_fmts = false; + let mut in_cell_xfs = false; + + loop { + match reader.read_event_into(&mut buf) { + Ok(Event::Start(ref e) | Event::Empty(ref e)) => { + let tag = e.name(); + match tag.as_ref() { + b"numFmts" => in_num_fmts = true, + b"cellXfs" => in_cell_xfs = true, + b"numFmt" if in_num_fmts => { + let mut fmt_id = None; + let mut fmt_code = None; + for attr in e.attributes().flatten() { + match attr.key.as_ref() { + b"numFmtId" => { + if let Ok(v) = attr.decode_and_unescape_value(&reader) { + fmt_id = v.parse::().ok(); + } + } + b"formatCode" => { + if let Ok(v) = attr.decode_and_unescape_value(&reader) { + fmt_code = Some(v.to_string()); + } + } + _ => {} + } + } + if let (Some(id), Some(code)) = (fmt_id, fmt_code) { + metadata.num_fmts.insert(id, classify_format_code(&code)); + } + } + b"xf" if in_cell_xfs => { + let mut num_fmt_id = 0u32; + for attr in e.attributes().flatten() { + if attr.key.as_ref() == b"numFmtId" { + if let Ok(v) = attr.decode_and_unescape_value(&reader) { + num_fmt_id = v.parse::().unwrap_or(0); + } + } + } + metadata.cell_xfs.push(num_fmt_id); + } + _ => {} + } + } + Ok(Event::End(ref e)) => match e.name().as_ref() { + b"numFmts" => in_num_fmts = false, + b"cellXfs" => in_cell_xfs = false, + _ => {} + }, + Ok(Event::Eof) => break, + Err(_) => break, + _ => {} + } + buf.clear(); + } +} + +/// Parse a worksheet XML for `` regions. +fn parse_merge_cells_xml(xml: &str) -> Vec { + let mut reader = XmlReader::from_str(xml); + reader.trim_text(true); + let mut buf = Vec::new(); + let mut regions = Vec::new(); + let mut in_merge_cells = false; + + loop { + match reader.read_event_into(&mut buf) { + Ok(Event::Start(ref e)) if e.name().as_ref() == b"mergeCells" => { + in_merge_cells = true; + } + Ok(Event::Start(ref e) | Event::Empty(ref e)) + if in_merge_cells && e.name().as_ref() == b"mergeCell" => + { + for attr in e.attributes().flatten() { + if attr.key.as_ref() == b"ref" { + if let Ok(val) = attr.decode_and_unescape_value(&reader) { + if let Some(((tr, lc), (br, rc))) = parse_range_ref(&val) { + regions.push(MergedRegion { + top_row: tr, + left_col: lc, + bottom_row: br, + right_col: rc, + }); + } + } + } + } + } + Ok(Event::End(ref e)) if e.name().as_ref() == b"mergeCells" => { + in_merge_cells = false; + } + Ok(Event::Eof) => break, + Err(_) => break, + _ => {} + } + buf.clear(); + } + + regions +} + +/// Convert an Excel serial date number to ISO-8601 string. +/// +/// Excel dates are stored as days since 1900-01-00 (serial 1 = Jan 1, 1900). +/// Excel has the Lotus 1-2-3 bug: serial 60 = Feb 29, 1900 (which doesn't exist). +/// For serial > 60, subtract 1 to get the correct date. +#[must_use] +pub fn excel_serial_to_iso(serial: f64) -> Option { + if serial < 0.0 { + return None; + } + + let days_from_epoch = serial.floor() as i64; + let frac = serial - serial.floor(); + + // Base: 1899-12-31 (so serial 1 = 1900-01-01) + // For serial > 60, Excel's Lotus bug means the real date is one day earlier + // than what the serial suggests, because Excel thinks Feb 29, 1900 exists. + let base = chrono::NaiveDate::from_ymd_opt(1899, 12, 31)?; + let adjusted_days = if days_from_epoch > 60 { + days_from_epoch - 1 + } else { + days_from_epoch + }; + let date = base.checked_add_signed(chrono::Duration::days(adjusted_days))?; + + if frac > 0.0001 { + // Has a time component + let total_seconds = (frac * 86400.0).round() as u32; + let hours = total_seconds / 3600; + let minutes = (total_seconds % 3600) / 60; + let seconds = total_seconds % 60; + let time = chrono::NaiveTime::from_hms_opt(hours, minutes, seconds)?; + Some( + chrono::NaiveDateTime::new(date, time) + .format("%Y-%m-%d %H:%M:%S") + .to_string(), + ) + } else { + Some(date.format("%Y-%m-%d").to_string()) + } +} + +/// Format a percentage value (0.153 -> "15.3%"). +#[must_use] +pub fn format_percentage(val: f64) -> String { + let pct = val * 100.0; + if (pct - pct.round()).abs() < 0.001 { + format!("{}%", pct.round() as i64) + } else { + format!("{pct:.1}%") + } +} + +/// Format a currency value with the appropriate symbol. +#[must_use] +pub fn format_currency(val: f64, code: &str) -> String { + let lower = code.to_ascii_lowercase(); + let symbol = if lower.contains('$') || lower.contains("usd") { + "$" + } else if lower.contains('\u{20ac}') || lower.contains("eur") { + "\u{20ac}" + } else if lower.contains('\u{00a3}') || lower.contains("gbp") { + "\u{00a3}" + } else if lower.contains('\u{00a5}') || lower.contains("jpy") || lower.contains("cny") { + "\u{00a5}" + } else { + "$" // default + }; + + if val < 0.0 { + format!("-{symbol}{:.2}", val.abs()) + } else { + format!("{symbol}{val:.2}") + } +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_classify_builtin_fmts() { + assert_eq!(classify_builtin_fmt(0), NumFmtKind::General); + assert_eq!(classify_builtin_fmt(1), NumFmtKind::Number); + assert_eq!(classify_builtin_fmt(5), NumFmtKind::Currency); + assert_eq!(classify_builtin_fmt(9), NumFmtKind::Percentage); + assert_eq!(classify_builtin_fmt(11), NumFmtKind::Scientific); + assert_eq!(classify_builtin_fmt(14), NumFmtKind::Date); + assert_eq!(classify_builtin_fmt(18), NumFmtKind::Time); + assert_eq!(classify_builtin_fmt(22), NumFmtKind::DateTime); + assert_eq!(classify_builtin_fmt(49), NumFmtKind::Text); + } + + #[test] + fn test_classify_custom_formats() { + assert_eq!(classify_format_code("yyyy-mm-dd"), NumFmtKind::Date); + assert_eq!(classify_format_code("mm/dd/yyyy"), NumFmtKind::Date); + assert_eq!(classify_format_code("hh:mm:ss"), NumFmtKind::Time); + assert_eq!( + classify_format_code("yyyy-mm-dd hh:mm"), + NumFmtKind::DateTime + ); + assert_eq!(classify_format_code("0.00%"), NumFmtKind::Percentage); + assert_eq!(classify_format_code("0.00E+00"), NumFmtKind::Scientific); + assert_eq!(classify_format_code("$#,##0.00"), NumFmtKind::Currency); + assert_eq!( + classify_format_code("\u{20ac}#,##0.00"), + NumFmtKind::Currency + ); + assert_eq!(classify_format_code("#,##0.00"), NumFmtKind::Number); + assert_eq!(classify_format_code("@"), NumFmtKind::Text); + } + + #[test] + fn test_parse_cell_ref() { + assert_eq!(parse_cell_ref("A1"), Some((0, 0))); + assert_eq!(parse_cell_ref("B5"), Some((4, 1))); + assert_eq!(parse_cell_ref("Z1"), Some((0, 25))); + assert_eq!(parse_cell_ref("AA1"), Some((0, 26))); + assert_eq!(parse_cell_ref("AZ100"), Some((99, 51))); + } + + #[test] + fn test_parse_range_ref() { + let result = parse_range_ref("A1:D3"); + assert_eq!(result, Some(((0, 0), (2, 3)))); + } + + #[test] + fn test_excel_serial_to_iso() { + assert_eq!(excel_serial_to_iso(1.0), Some("1900-01-01".to_string())); + assert_eq!(excel_serial_to_iso(44927.0), Some("2023-01-01".to_string())); + assert!(excel_serial_to_iso(-1.0).is_none()); + } + + #[test] + fn test_format_percentage() { + assert_eq!(format_percentage(0.153), "15.3%"); + assert_eq!(format_percentage(0.5), "50%"); + assert_eq!(format_percentage(1.0), "100%"); + } + + #[test] + fn test_format_currency() { + assert_eq!(format_currency(10.5, "$#,##0.00"), "$10.50"); + assert_eq!(format_currency(-10.5, "$#,##0.00"), "-$10.50"); + assert_eq!(format_currency(10.5, "\u{20ac}#,##0.00"), "\u{20ac}10.50"); + } + + #[test] + fn test_quoted_section_removal() { + assert_eq!( + remove_quoted_sections("yyyy\"year\"mm\"month\"dd\"day\""), + "yyyymmdd" + ); + assert_eq!(remove_quoted_sections("#,##0.00\"$\""), "#,##0.00"); + } +} diff --git a/src/reader/xlsx_table_detect.rs b/src/reader/xlsx_table_detect.rs new file mode 100644 index 0000000..ca0c742 --- /dev/null +++ b/src/reader/xlsx_table_detect.rs @@ -0,0 +1,648 @@ +//! Table structure detection for XLSX sheets. +//! +//! Detects header rows, table boundaries, and column types for sheets +//! not covered by OOXML table definitions. +#![allow(clippy::cast_possible_truncation, clippy::cast_sign_loss)] + +use serde::{Deserialize, Serialize}; + +use super::xlsx_ooxml::{MergedRegion, NumFmtKind, TableDefinition}; + +/// Column type inferred from data sampling. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize, Default)] +#[serde(rename_all = "snake_case")] +pub enum ColumnType { + #[default] + Text, + Integer, + Float, + Date, + DateTime, + Time, + Currency, + Percentage, + Boolean, + Mixed, + Empty, +} + +/// A detected table within a sheet. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct DetectedTable { + /// Table name (from OOXML or auto-generated) + pub name: String, + /// Sheet name this table belongs to + pub sheet_name: String, + /// Column headers (may be empty if no header detected) + pub headers: Vec, + /// Column types inferred from data + pub column_types: Vec, + /// First data row (0-based, the row after the header) + pub first_data_row: u32, + /// Last data row (inclusive, 0-based) + pub last_data_row: u32, + /// First column (0-based) + pub first_col: u32, + /// Last column (inclusive, 0-based) + pub last_col: u32, + /// Header row index (0-based), None if no header detected + pub header_row: Option, + /// Detection confidence (0.0 - 1.0) + pub confidence: f64, +} + +/// A cell value representation for detection purposes. +#[derive(Debug, Clone)] +pub enum CellValue { + Empty, + Text(String), + Number(f64), + Integer(i64), + Boolean(bool), + DateTime(String), + Error(String), +} + +impl CellValue { + #[must_use] + pub fn is_empty(&self) -> bool { + matches!(self, Self::Empty) + } + + #[must_use] + pub fn is_text(&self) -> bool { + matches!(self, Self::Text(_)) + } + + #[must_use] + pub fn is_numeric(&self) -> bool { + matches!(self, Self::Number(_) | Self::Integer(_)) + } + + #[must_use] + pub fn as_text(&self) -> String { + match self { + Self::Empty => String::new(), + Self::Text(s) => s.clone(), + Self::Number(v) => format!("{v}"), + Self::Integer(v) => format!("{v}"), + Self::Boolean(b) => if *b { "true" } else { "false" }.to_string(), + Self::DateTime(s) => s.clone(), + Self::Error(s) => s.clone(), + } + } +} + +/// A grid of cell values representing one sheet. +pub struct SheetGrid { + pub sheet_name: String, + pub rows: Vec>, + /// Number format kinds per cell (row, col) if available from OOXML metadata. + /// Outer vec is rows, inner is columns. + pub num_fmt_kinds: Vec>, + pub num_rows: u32, + pub num_cols: u32, +} + +impl SheetGrid { + #[must_use] + pub fn new(sheet_name: String) -> Self { + Self { + sheet_name, + rows: Vec::new(), + num_fmt_kinds: Vec::new(), + num_rows: 0, + num_cols: 0, + } + } + + /// Get cell value at (row, col). Returns Empty if out of bounds. + #[must_use] + pub fn cell(&self, row: u32, col: u32) -> &CellValue { + static EMPTY: CellValue = CellValue::Empty; + self.rows + .get(row as usize) + .and_then(|r| r.get(col as usize)) + .unwrap_or(&EMPTY) + } + + /// Get number format kind at (row, col). Returns General if not available. + #[must_use] + pub fn num_fmt(&self, row: u32, col: u32) -> NumFmtKind { + self.num_fmt_kinds + .get(row as usize) + .and_then(|r| r.get(col as usize)) + .copied() + .unwrap_or(NumFmtKind::General) + } + + /// Check if a row is entirely empty. + #[must_use] + pub fn is_row_empty(&self, row: u32) -> bool { + if let Some(r) = self.rows.get(row as usize) { + r.iter().all(CellValue::is_empty) + } else { + true + } + } + + /// Count non-empty cells in a row. + #[must_use] + pub fn row_nonempty_count(&self, row: u32) -> usize { + if let Some(r) = self.rows.get(row as usize) { + r.iter().filter(|c| !c.is_empty()).count() + } else { + 0 + } + } +} + +/// Detect tables within a sheet grid. +/// +/// Uses cascading heuristics: +/// 1. OOXML table definitions (confidence 1.0) +/// 2. All-text row + typed data below (0.7) +/// 3. Type consistency boost (+0.15) +/// 4. First non-empty row fallback (0.4) +#[must_use] +pub fn detect_tables( + grid: &SheetGrid, + ooxml_tables: &[TableDefinition], + merged_regions: &[MergedRegion], +) -> Vec { + let mut tables = Vec::new(); + + // Phase 1: Use OOXML table definitions for this sheet + for tdef in ooxml_tables { + if tdef.sheet_name == grid.sheet_name { + let column_types = infer_column_types( + grid, + tdef.first_row + 1, + tdef.last_row, + tdef.first_col, + tdef.last_col, + ); + tables.push(DetectedTable { + name: tdef.name.clone(), + sheet_name: grid.sheet_name.clone(), + headers: tdef.headers.clone(), + column_types, + first_data_row: tdef.first_row + 1, + last_data_row: tdef.last_row, + first_col: tdef.first_col, + last_col: tdef.last_col, + header_row: Some(tdef.first_row), + confidence: 1.0, + }); + } + } + + // If OOXML tables covered the whole sheet, we're done + if !tables.is_empty() { + return tables; + } + + // Phase 2: Heuristic detection — find table boundaries + let table_ranges = find_table_boundaries(grid, merged_regions); + let mut table_idx = 0; + + for (start_row, end_row, start_col, end_col) in table_ranges { + let (header_row, headers, confidence) = + detect_header(grid, start_row, end_row, start_col, end_col); + + let first_data_row = header_row.map_or(start_row, |hr| hr + 1); + let column_types = infer_column_types(grid, first_data_row, end_row, start_col, end_col); + + // Boost confidence if column types are consistent + let type_boost = if column_types + .iter() + .filter(|t| **t != ColumnType::Mixed && **t != ColumnType::Empty) + .count() + > column_types.len() / 2 + { + 0.15 + } else { + 0.0 + }; + + table_idx += 1; + tables.push(DetectedTable { + name: format!("Table{table_idx}"), + sheet_name: grid.sheet_name.clone(), + headers, + column_types, + first_data_row, + last_data_row: end_row, + first_col: start_col, + last_col: end_col, + header_row, + confidence: (confidence + type_boost).min(1.0), + }); + } + + tables +} + +/// Find table boundaries by detecting gaps (2+ consecutive empty rows/cols). +fn find_table_boundaries( + grid: &SheetGrid, + _merged_regions: &[MergedRegion], +) -> Vec<(u32, u32, u32, u32)> { + if grid.num_rows == 0 || grid.num_cols == 0 { + return Vec::new(); + } + + // Find vertical boundaries (consecutive empty rows split tables) + let mut row_groups: Vec<(u32, u32)> = Vec::new(); + let mut current_start: Option = None; + let mut empty_streak = 0u32; + + for row in 0..grid.num_rows { + if grid.is_row_empty(row) { + empty_streak += 1; + if empty_streak >= 2 { + if let Some(start) = current_start.take() { + let end = row.saturating_sub(empty_streak); + if end >= start { + row_groups.push((start, end)); + } + } + } + } else { + if current_start.is_none() { + current_start = Some(row); + } + empty_streak = 0; + } + } + // Close the last group + if let Some(start) = current_start { + row_groups.push((start, grid.num_rows.saturating_sub(1))); + } + + // For each row group, find column boundaries + let mut boundaries = Vec::new(); + for (start_row, end_row) in row_groups { + let col_ranges = find_column_boundaries(grid, start_row, end_row); + for (start_col, end_col) in col_ranges { + boundaries.push((start_row, end_row, start_col, end_col)); + } + } + + // Fallback: if no boundaries detected, treat entire used area as one table + if boundaries.is_empty() && grid.num_rows > 0 { + boundaries.push(( + 0, + grid.num_rows.saturating_sub(1), + 0, + grid.num_cols.saturating_sub(1), + )); + } + + boundaries +} + +/// Find horizontal table boundaries within a row range. +fn find_column_boundaries(grid: &SheetGrid, start_row: u32, end_row: u32) -> Vec<(u32, u32)> { + if grid.num_cols == 0 { + return Vec::new(); + } + + // Check which columns have any data in the row range + let mut col_has_data = vec![false; grid.num_cols as usize]; + for row in start_row..=end_row { + if let Some(r) = grid.rows.get(row as usize) { + for (ci, cell) in r.iter().enumerate() { + if !cell.is_empty() { + col_has_data[ci] = true; + } + } + } + } + + // Find contiguous ranges of columns with data + let mut ranges = Vec::new(); + let mut current_start: Option = None; + let mut empty_streak = 0u32; + + for (ci, &has_data) in col_has_data.iter().enumerate() { + if has_data { + if current_start.is_none() { + current_start = Some(ci as u32); + } + empty_streak = 0; + } else { + empty_streak += 1; + if empty_streak >= 2 { + if let Some(start) = current_start.take() { + let end = (ci as u32).saturating_sub(empty_streak); + if end >= start { + ranges.push((start, end)); + } + } + } + } + } + if let Some(start) = current_start { + ranges.push((start, (grid.num_cols).saturating_sub(1))); + } + + // Fallback: whole range + if ranges.is_empty() { + ranges.push((0, grid.num_cols.saturating_sub(1))); + } + + ranges +} + +/// Detect header row within a table range. +/// Returns (header_row_index, header_texts, confidence). +fn detect_header( + grid: &SheetGrid, + start_row: u32, + end_row: u32, + start_col: u32, + end_col: u32, +) -> (Option, Vec, f64) { + // Heuristic 1: All-text row followed by typed (numeric/date) data below + for row in start_row..=end_row.min(start_row + 3) { + let nonempty = grid.row_nonempty_count(row); + if nonempty == 0 { + continue; + } + + let all_text = (start_col..=end_col).all(|col| { + let cell = grid.cell(row, col); + cell.is_empty() || cell.is_text() + }); + + if !all_text { + continue; + } + + // Check if the next row has any numeric/date data + let next_row = row + 1; + if next_row > end_row { + continue; + } + let has_typed_data = (start_col..=end_col).any(|col| { + let cell = grid.cell(next_row, col); + cell.is_numeric() || matches!(cell, CellValue::DateTime(_) | CellValue::Boolean(_)) + }); + + if has_typed_data { + let headers: Vec = (start_col..=end_col) + .map(|col| grid.cell(row, col).as_text()) + .collect(); + return (Some(row), headers, 0.7); + } + } + + // Heuristic 2: First non-empty row as fallback + for row in start_row..=end_row.min(start_row + 5) { + if grid.row_nonempty_count(row) > 0 { + let headers: Vec = (start_col..=end_col) + .map(|col| grid.cell(row, col).as_text()) + .collect(); + return (Some(row), headers, 0.4); + } + } + + (None, Vec::new(), 0.3) +} + +/// Infer column types by sampling data rows. +fn infer_column_types( + grid: &SheetGrid, + first_data_row: u32, + last_data_row: u32, + first_col: u32, + last_col: u32, +) -> Vec { + let num_cols = (last_col - first_col + 1) as usize; + let mut type_counts: Vec<[u32; 10]> = vec![[0; 10]; num_cols]; + let sample_limit = 100; + for (sampled, row) in (first_data_row..=last_data_row).enumerate() { + if sampled >= sample_limit as usize { + break; + } + + for col_offset in 0..num_cols { + let col = first_col + col_offset as u32; + let cell = grid.cell(row, col); + let fmt = grid.num_fmt(row, col); + + let type_idx = match (cell, fmt) { + (CellValue::Empty, _) => 9, // Empty + (CellValue::Text(_), _) => 0, + (CellValue::Integer(_), NumFmtKind::Date) => 2, + (CellValue::Integer(_), NumFmtKind::DateTime) => 3, + (CellValue::Integer(_), NumFmtKind::Time) => 4, + (CellValue::Integer(_), NumFmtKind::Currency) => 5, + (CellValue::Integer(_), NumFmtKind::Percentage) => 6, + (CellValue::Integer(_), _) => 1, + (CellValue::Number(_), NumFmtKind::Date) => 2, + (CellValue::Number(_), NumFmtKind::DateTime) => 3, + (CellValue::Number(_), NumFmtKind::Time) => 4, + (CellValue::Number(_), NumFmtKind::Currency) => 5, + (CellValue::Number(_), NumFmtKind::Percentage) => 6, + (CellValue::Number(_), _) => 8, // Float + (CellValue::Boolean(_), _) => 7, + (CellValue::DateTime(_), _) => 2, + (CellValue::Error(_), _) => 9, + }; + type_counts[col_offset][type_idx] += 1; + } + } + + type_counts + .iter() + .map(|counts| { + // Find the most common non-empty type + let non_empty_total: u32 = counts.iter().take(9).sum(); + if non_empty_total == 0 { + return ColumnType::Empty; + } + + let (max_idx, &max_count) = counts + .iter() + .take(9) + .enumerate() + .max_by_key(|&(_, c)| *c) + .unwrap_or((0, &0)); + + // If >30% are a different type, it's mixed + let threshold = (non_empty_total as f64 * 0.3).ceil() as u32; + let other_count = non_empty_total - max_count; + if other_count >= threshold && max_count < non_empty_total { + return ColumnType::Mixed; + } + + match max_idx { + 0 => ColumnType::Text, + 1 => ColumnType::Integer, + 2 => ColumnType::Date, + 3 => ColumnType::DateTime, + 4 => ColumnType::Time, + 5 => ColumnType::Currency, + 6 => ColumnType::Percentage, + 7 => ColumnType::Boolean, + 8 => ColumnType::Float, + _ => ColumnType::Text, + } + }) + .collect() +} + +/// Propagate merged cell values into a grid. +/// The top-left cell's value is copied to all cells in the merged region. +#[allow(dead_code)] +pub fn propagate_merged_cells(grid: &mut SheetGrid, merged_regions: &[MergedRegion]) { + for region in merged_regions { + // Get the top-left cell value + let value = grid.cell(region.top_row, region.left_col).clone(); + if value.is_empty() { + continue; + } + + // Fill all cells in the region with the top-left value + for row in region.top_row..=region.bottom_row { + for col in region.left_col..=region.right_col { + // Skip the top-left cell itself + if row == region.top_row && col == region.left_col { + continue; + } + if let Some(r) = grid.rows.get_mut(row as usize) { + // Extend the row if necessary + while r.len() <= col as usize { + r.push(CellValue::Empty); + } + r[col as usize] = value.clone(); + } + } + } + } +} + +#[cfg(test)] +mod tests { + use super::*; + + fn make_grid(data: Vec>, sheet_name: &str) -> SheetGrid { + let num_rows = data.len() as u32; + let num_cols = data.iter().map(|r| r.len()).max().unwrap_or(0) as u32; + SheetGrid { + sheet_name: sheet_name.to_string(), + rows: data, + num_fmt_kinds: Vec::new(), + num_rows, + num_cols, + } + } + + #[test] + fn test_detect_header_all_text_row() { + let grid = make_grid( + vec![ + vec![ + CellValue::Text("Name".into()), + CellValue::Text("Age".into()), + CellValue::Text("City".into()), + ], + vec![ + CellValue::Text("Alice".into()), + CellValue::Integer(30), + CellValue::Text("Austin".into()), + ], + vec![ + CellValue::Text("Bob".into()), + CellValue::Integer(25), + CellValue::Text("Boston".into()), + ], + ], + "Sheet1", + ); + + let tables = detect_tables(&grid, &[], &[]); + assert_eq!(tables.len(), 1); + assert_eq!(tables[0].headers, vec!["Name", "Age", "City"]); + assert!(tables[0].confidence >= 0.7); + assert_eq!(tables[0].header_row, Some(0)); + } + + #[test] + fn test_detect_multi_table_gap() { + let grid = make_grid( + vec![ + vec![CellValue::Text("A".into()), CellValue::Integer(1)], + vec![CellValue::Text("B".into()), CellValue::Integer(2)], + vec![CellValue::Empty, CellValue::Empty], + vec![CellValue::Empty, CellValue::Empty], + vec![CellValue::Text("X".into()), CellValue::Integer(10)], + vec![CellValue::Text("Y".into()), CellValue::Integer(20)], + ], + "Sheet1", + ); + + let tables = detect_tables(&grid, &[], &[]); + assert_eq!(tables.len(), 2); + } + + #[test] + fn test_propagate_merged_cells() { + let mut grid = make_grid( + vec![ + vec![ + CellValue::Text("Merged Title".into()), + CellValue::Empty, + CellValue::Empty, + ], + vec![ + CellValue::Text("A".into()), + CellValue::Text("B".into()), + CellValue::Text("C".into()), + ], + ], + "Sheet1", + ); + + let regions = vec![MergedRegion { + top_row: 0, + left_col: 0, + bottom_row: 0, + right_col: 2, + }]; + + propagate_merged_cells(&mut grid, ®ions); + + assert!(matches!(grid.cell(0, 1), CellValue::Text(s) if s == "Merged Title")); + assert!(matches!(grid.cell(0, 2), CellValue::Text(s) if s == "Merged Title")); + } + + #[test] + fn test_column_type_inference() { + let grid = make_grid( + vec![ + vec![ + CellValue::Text("Name".into()), + CellValue::Text("Value".into()), + ], + vec![CellValue::Text("A".into()), CellValue::Integer(100)], + vec![CellValue::Text("B".into()), CellValue::Integer(200)], + vec![CellValue::Text("C".into()), CellValue::Integer(300)], + ], + "Sheet1", + ); + + let types = infer_column_types(&grid, 1, 3, 0, 1); + assert_eq!(types[0], ColumnType::Text); + assert_eq!(types[1], ColumnType::Integer); + } + + #[test] + fn test_empty_grid() { + let grid = make_grid(Vec::new(), "Empty"); + let tables = detect_tables(&grid, &[], &[]); + assert!(tables.is_empty()); + } +} diff --git a/src/registry.rs b/src/registry.rs new file mode 100644 index 0000000..6e36fa5 --- /dev/null +++ b/src/registry.rs @@ -0,0 +1,263 @@ +use std::convert::TryFrom; +use std::env; +use std::fmt; +use std::io::ErrorKind; +use std::io::{self, Read, Write}; +use std::path::{Path, PathBuf}; +use std::time::Duration; + +use blake3::Hasher; +use fs_err::{self as fs, File, OpenOptions}; +use same_file::Handle; +use serde::{Deserialize, Serialize}; +use time::OffsetDateTime; +use time::format_description::well_known::Rfc3339; + +use crate::error::{LockOwnerHint, Result}; + +const HEADER_SAMPLE_BYTES: usize = 4 * 1024; +const REGISTRY_SUBDIR: &str = "locks"; +const ROOT_DIR: &str = ".memvid"; + +#[derive(Debug, Clone, PartialEq, Eq, Hash)] +pub struct FileId { + raw: String, +} + +impl FileId { + fn new(raw: String) -> Self { + Self { raw } + } + + pub fn as_str(&self) -> &str { + &self.raw + } +} + +impl fmt::Display for FileId { + fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { + f.write_str(&self.raw) + } +} + +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct LockRecord { + pub pid: u32, + pub cmd: String, + pub started_at: String, + pub file_path: String, + pub file_id: String, + pub heartbeat_ms: u64, + pub last_heartbeat: String, +} + +impl LockRecord { + pub fn new(file_id: &FileId, file_path: &Path, cmd: String, heartbeat_ms: u64) -> Result { + let started_at = current_timestamp()?; + Ok(Self { + pid: std::process::id(), + cmd, + started_at: started_at.clone(), + file_path: file_path.display().to_string(), + file_id: file_id.as_str().to_string(), + heartbeat_ms, + last_heartbeat: started_at, + }) + } + + #[allow(dead_code)] + pub fn touch(&mut self) -> Result<()> { + self.last_heartbeat = current_timestamp()?; + Ok(()) + } + + pub fn to_owner_hint(&self) -> LockOwnerHint { + LockOwnerHint { + pid: Some(self.pid), + cmd: Some(self.cmd.clone()), + started_at: Some(self.started_at.clone()), + file_path: Some(PathBuf::from(&self.file_path)), + file_id: Some(self.file_id.clone()), + last_heartbeat: Some(self.last_heartbeat.clone()), + heartbeat_ms: Some(self.heartbeat_ms), + } + } +} + +fn current_timestamp() -> Result { + let now = OffsetDateTime::now_utc(); + now.format(&Rfc3339) + .map_err(io::Error::other) + .map_err(Into::into) +} + +pub fn compute_file_id(path: &Path) -> Result { + let handle = Handle::from_path(path)?; + let mut file = File::open(path)?; + let mut sample = [0u8; HEADER_SAMPLE_BYTES]; + let read = file.read(&mut sample)?; + let mut hasher = Hasher::new(); + hasher.update(&sample[..read]); + + #[cfg(unix)] + let prefix = format!( + "unix-{dev:016x}-{ino:016x}", + dev = handle.dev(), + ino = handle.ino() + ); + + #[cfg(windows)] + let prefix = { + // Use stable APIs only: canonicalized path + metadata for deterministic ID. + // The unstable volume_serial_number/file_index_high/file_index_low APIs + // require nightly (windows_by_handle feature), so we use a hash-based fallback. + use std::os::windows::fs::MetadataExt; + + let canonical_path = path.canonicalize().unwrap_or_else(|_| path.to_path_buf()); + let metadata = handle.as_file().metadata()?; + + // Build a deterministic identifier from stable metadata: + // - Canonicalized path (primary identifier) + // - File size (file_size() is stable on Windows) + // - Creation time (creation_time() is stable on Windows) + // - Last write time (last_write_time() is stable on Windows) + let mut path_hasher = Hasher::new(); + path_hasher.update(canonical_path.to_string_lossy().as_bytes()); + path_hasher.update(&metadata.file_size().to_le_bytes()); + path_hasher.update(&metadata.creation_time().to_le_bytes()); + path_hasher.update(&metadata.last_write_time().to_le_bytes()); + + let path_hash = path_hasher.finalize(); + format!("win-{}", &path_hash.to_hex()[..32]) + }; + + #[cfg(not(any(unix, windows)))] + let prefix = "other".to_string(); + + let identifier = format!("{}-{}", prefix, hasher.finalize().to_hex()); + Ok(FileId::new(identifier)) +} + +fn registry_root() -> Result { + let mut last_err: Option = None; + + for candidate in registry_candidates() { + match ensure_directory(candidate) { + Ok(path) => return Ok(path), + Err(err) if recoverable_dir_error(&err) => { + last_err = Some(err); + continue; + } + Err(err) => return Err(err.into()), + } + } + + Err(last_err + .unwrap_or_else(|| io::Error::other("failed to establish memvid lock registry directory")) + .into()) +} + +fn registry_candidates() -> Vec { + let mut candidates = Vec::new(); + + if let Some(override_root) = env::var_os("MEMVID_LOCK_REGISTRY_DIR") { + candidates.push(PathBuf::from(override_root)); + } + + candidates.push(env::temp_dir().join(ROOT_DIR).join(REGISTRY_SUBDIR)); + + if let Some(home) = dirs_next::home_dir() { + candidates.push(home.join(ROOT_DIR).join(REGISTRY_SUBDIR)); + } + + if let Ok(cwd) = env::current_dir() { + candidates.push(cwd.join(ROOT_DIR).join(REGISTRY_SUBDIR)); + } + + candidates +} + +fn ensure_directory(path: PathBuf) -> io::Result { + fs::create_dir_all(&path)?; + let sentinel = path.join(".write_test"); + match OpenOptions::new() + .write(true) + .create(true) + .truncate(true) + .open(&sentinel) + { + Ok(_) => { + let _ = fs::remove_file(sentinel); + Ok(path) + } + Err(err) => Err(err), + } +} + +fn recoverable_dir_error(err: &io::Error) -> bool { + matches!( + err.kind(), + ErrorKind::PermissionDenied | ErrorKind::NotFound | ErrorKind::ReadOnlyFilesystem + ) +} + +fn record_path(file_id: &FileId) -> Result { + Ok(registry_root()?.join(format!("{}.json", file_id.as_str()))) +} + +pub fn write_record(record: &LockRecord) -> Result<()> { + let path = record_path(&FileId::new(record.file_id.clone()))?; + let mut file = OpenOptions::new() + .write(true) + .create(true) + .truncate(true) + .open(path)?; + serde_json::to_writer(&mut file, record).map_err(io::Error::other)?; + file.flush()?; + file.sync_all()?; + Ok(()) +} + +#[allow(dead_code)] +pub fn heartbeat(file_id: &FileId) -> Result> { + let Some(mut record) = read_record(file_id)? else { + return Ok(None); + }; + record.touch()?; + write_record(&record)?; + Ok(Some(record)) +} + +pub fn read_record(file_id: &FileId) -> Result> { + let path = record_path(file_id)?; + let file = match File::open(&path) { + Ok(file) => file, + Err(err) if err.kind() == std::io::ErrorKind::NotFound => return Ok(None), + Err(err) => return Err(err.into()), + }; + let record: LockRecord = serde_json::from_reader(file).map_err(io::Error::other)?; + Ok(Some(record)) +} + +pub fn remove_record(file_id: &FileId) -> Result<()> { + let path = record_path(file_id)?; + match fs::remove_file(path) { + Ok(()) => Ok(()), + Err(err) if err.kind() == std::io::ErrorKind::NotFound => Ok(()), + Err(err) => Err(err.into()), + } +} + +pub fn is_stale(record: &LockRecord, grace: Duration) -> bool { + match OffsetDateTime::parse(&record.last_heartbeat, &Rfc3339) { + Ok(last) => match Duration::try_from(OffsetDateTime::now_utc() - last) { + Ok(elapsed) => elapsed > grace, + Err(_) => false, + }, + Err(_) => true, + } +} + +pub fn to_owner_hint(record: Option) -> Option { + record.map(|r| r.to_owner_hint()) +} diff --git a/src/replay/engine.rs b/src/replay/engine.rs new file mode 100644 index 0000000..f098caf --- /dev/null +++ b/src/replay/engine.rs @@ -0,0 +1,756 @@ +//! Replay execution engine for time-travel debugging. +//! +//! The replay engine can execute recorded sessions deterministically, +//! compare results with original recordings, and support checkpoint-based +//! partial replay. + +use super::types::{ActionType, ReplaySession}; +use crate::MemvidError; +use crate::error::Result; +use crate::memvid::lifecycle::Memvid; +use serde::{Deserialize, Serialize}; +use std::time::Instant; +use uuid::Uuid; + +/// Result of replaying a single action. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct ActionReplayResult { + /// Sequence number of the action + pub sequence: u64, + /// Whether the replay matched the original + pub matched: bool, + /// Description of any differences + pub diff: Option, + /// Duration of the replay in milliseconds + pub duration_ms: u64, + /// Original action type + pub action_type: String, +} + +/// Summary of a full session replay. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct ReplayResult { + /// Session that was replayed + pub session_id: Uuid, + /// Total actions replayed + pub total_actions: usize, + /// Actions that matched their recorded state + pub matched_actions: usize, + /// Actions that differed from recorded state + pub mismatched_actions: usize, + /// Actions that were skipped + pub skipped_actions: usize, + /// Detailed results per action + pub action_results: Vec, + /// Total replay duration in milliseconds + pub total_duration_ms: u64, + /// Checkpoint used as starting point (if any) + pub from_checkpoint: Option, +} + +impl ReplayResult { + /// Check if the replay was successful (all actions matched). + #[must_use] + pub fn is_success(&self) -> bool { + self.mismatched_actions == 0 + } + + /// Get the match rate as a percentage. + #[must_use] + pub fn match_rate(&self) -> f64 { + if self.total_actions == 0 { + 100.0 + } else { + (self.matched_actions as f64 / self.total_actions as f64) * 100.0 + } + } +} + +/// Configuration for replay execution. +#[derive(Debug, Clone)] +pub struct ReplayExecutionConfig { + /// Skip put actions (useful for read-only replay) + pub skip_puts: bool, + /// Skip find actions + pub skip_finds: bool, + /// Skip ask actions (useful when LLM not available) + pub skip_asks: bool, + /// Stop on first mismatch + pub stop_on_mismatch: bool, + /// Verbose logging + pub verbose: bool, + /// Override top-k for find actions (None = use original values) + /// Higher values reveal documents that may have been missed + pub top_k: Option, + /// Use adaptive retrieval based on score distribution + pub adaptive: bool, + /// Minimum relevancy score for adaptive mode (0.0-1.0) + pub min_relevancy: f32, + /// AUDIT MODE: Use frozen retrieval for ASK actions + /// When true, ASK actions use recorded frame IDs instead of re-executing search + pub audit_mode: bool, + /// Override model for audit replay (format: "provider:model") + /// When set, re-executes LLM call with frozen context using this model + pub use_model: Option, + /// Generate diff report comparing original vs new answers + pub generate_diff: bool, +} + +impl Default for ReplayExecutionConfig { + fn default() -> Self { + Self { + skip_puts: false, + skip_finds: false, + skip_asks: false, + stop_on_mismatch: false, + verbose: false, + top_k: None, + adaptive: false, + min_relevancy: 0.5, + audit_mode: false, + use_model: None, + generate_diff: false, + } + } +} + +/// The replay engine executes recorded sessions. +pub struct ReplayEngine<'a> { + /// The memory file to replay against + mem: &'a mut Memvid, + /// Configuration for replay + config: ReplayExecutionConfig, +} + +impl<'a> ReplayEngine<'a> { + /// Create a new replay engine. + pub fn new(mem: &'a mut Memvid, config: ReplayExecutionConfig) -> Self { + Self { mem, config } + } + + /// Replay a full session from the beginning. + pub fn replay_session(&mut self, session: &ReplaySession) -> Result { + self.replay_session_from(session, None) + } + + /// Replay a session starting from a specific checkpoint. + pub fn replay_session_from( + &mut self, + session: &ReplaySession, + from_checkpoint: Option, + ) -> Result { + let start_time = Instant::now(); + let mut result = ReplayResult { + session_id: session.session_id, + total_actions: 0, + matched_actions: 0, + mismatched_actions: 0, + skipped_actions: 0, + action_results: Vec::new(), + total_duration_ms: 0, + from_checkpoint, + }; + + // Determine starting sequence + let start_sequence = if let Some(checkpoint_id) = from_checkpoint { + let checkpoint = session + .checkpoints + .iter() + .find(|c| c.id == checkpoint_id) + .ok_or_else(|| MemvidError::InvalidQuery { + reason: format!("Checkpoint {checkpoint_id} not found in session"), + })?; + checkpoint.at_sequence + } else { + 0 + }; + + // Filter actions to replay + let actions_to_replay: Vec<_> = session + .actions + .iter() + .filter(|a| a.sequence >= start_sequence) + .collect(); + + result.total_actions = actions_to_replay.len(); + + for action in actions_to_replay { + let action_start = Instant::now(); + let mut action_result = ActionReplayResult { + sequence: action.sequence, + matched: false, + diff: None, + duration_ms: 0, + action_type: action.action_type.name().to_string(), + }; + + match &action.action_type { + ActionType::Put { frame_id } => { + if self.config.skip_puts { + result.skipped_actions += 1; + action_result.diff = Some("skipped".to_string()); + } else { + // Put actions can't be replayed deterministically (they create new frame IDs) + // The frame_id recorded is the WAL sequence, not the frame index + // Just verify that frames exist (we can't verify the exact ID) + let frame_count = self.mem.toc.frames.len(); + if frame_count > 0 { + action_result.matched = true; + action_result.diff = Some(format!( + "Put verified (seq {frame_id}, {frame_count} frames total)" + )); + result.matched_actions += 1; + } else { + action_result.matched = false; + action_result.diff = Some("No frames found".to_string()); + result.mismatched_actions += 1; + } + } + } + + ActionType::Find { + query, + mode: _, + result_count, + } => { + if self.config.skip_finds { + result.skipped_actions += 1; + action_result.diff = Some("skipped".to_string()); + } else { + // Determine the top_k to use: + // 1. Use config override if specified (for time-travel analysis) + // 2. Otherwise use the original value to verify consistency + let replay_top_k = self.config.top_k.unwrap_or(*result_count); + + // Re-execute the search using the search() API which handles + // both lex-only and hybrid search modes + let search_request = crate::types::SearchRequest { + query: query.clone(), + top_k: replay_top_k, + snippet_chars: 120, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: crate::types::AclEnforcementMode::Audit, + }; + match self.mem.search(search_request) { + Ok(response) => { + let replay_count = if self.config.adaptive { + // Adaptive mode: count only results above min_relevancy + response + .hits + .iter() + .filter(|h| { + h.score.unwrap_or(0.0) >= self.config.min_relevancy + }) + .count() + } else { + response.hits.len() + }; + + // If we're using a custom top_k, show analysis instead of mismatch + if self.config.top_k.is_some() && replay_count != *result_count { + // Build document details string - always show what was found + let mut doc_details = String::new(); + + if replay_count > *result_count { + // Discovery UP: replay found more docs (higher top-k reveals missed docs) + let extra_count = replay_count - *result_count; + doc_details.push_str( + "\n Documents discovered with higher top-k:", + ); + for (i, hit) in response.hits.iter().enumerate() { + let score = hit.score.unwrap_or(0.0); + let uri = &hit.uri; + let marker = + if i >= *result_count { " [NEW]" } else { "" }; + doc_details.push_str(&format!( + "\n [{}] {} (score: {:.2}){}", + i + 1, + uri, + score, + marker + )); + } + action_result.matched = false; + action_result.diff = Some(format!( + "DISCOVERY: original found {result_count}, replay with top-k={replay_top_k} found {replay_count} (+{extra_count} docs). Query: \"{query}\"{doc_details}" + )); + } else { + // Discovery DOWN: replay found fewer docs (lower top-k would miss docs) + let missed_count = *result_count - replay_count; + doc_details.push_str( + "\n With lower top-k, only these would be found:", + ); + for (i, hit) in response.hits.iter().enumerate() { + let score = hit.score.unwrap_or(0.0); + let uri = &hit.uri; + doc_details.push_str(&format!( + "\n [{}] {} (score: {:.2})", + i + 1, + uri, + score + )); + } + doc_details.push_str(&format!( + "\n {missed_count} document(s) would be MISSED with top-k={replay_top_k}" + )); + action_result.matched = false; + action_result.diff = Some(format!( + "FILTER: original found {result_count}, replay with top-k={replay_top_k} would only find {replay_count} (-{missed_count} docs). Query: \"{query}\"{doc_details}" + )); + } + + result.mismatched_actions += 1; + } else if replay_count == *result_count { + action_result.matched = true; + if self.config.adaptive { + action_result.diff = Some(format!( + "Matched with adaptive (min_relevancy={})", + self.config.min_relevancy + )); + } + result.matched_actions += 1; + } else { + action_result.matched = false; + action_result.diff = Some(format!( + "Result count mismatch: expected {result_count}, got {replay_count}" + )); + result.mismatched_actions += 1; + } + } + Err(e) => { + action_result.matched = false; + action_result.diff = Some(format!("Search failed: {e}")); + result.mismatched_actions += 1; + } + } + } + } + + ActionType::Ask { + query, + provider, + model, + } => { + if self.config.skip_asks { + result.skipped_actions += 1; + action_result.diff = Some("skipped".to_string()); + } else if self.config.audit_mode { + // AUDIT MODE: Frozen retrieval with optional model override + let frames_str = if action.affected_frames.is_empty() { + "none recorded".to_string() + } else { + action + .affected_frames + .iter() + .map(std::string::ToString::to_string) + .collect::>() + .join(", ") + }; + + let original_answer = if action.output_preview.is_empty() { + "(no answer recorded)".to_string() + } else { + action.output_preview.clone() + }; + + // Build audit output + let mut details = format!( + "Question: \"{query}\"\n Mode: AUDIT (frozen retrieval)\n Original Model: {provider}:{model}\n Frozen frames: [{frames_str}]" + ); + + // If model override is set, show it (CLI handles actual LLM re-execution) + if let Some(ref override_model) = self.config.use_model { + details + .push_str(&format!("\n Override Model: {override_model}")); + } + + // Show original answer + let answer_preview = if original_answer.len() > 200 { + format!("{}...", &original_answer[..200]) + } else { + original_answer.clone() + }; + details + .push_str(&format!("\n Original Answer: \"{answer_preview}\"")); + + // In audit mode with frozen frames, we consider it verified + if action.affected_frames.is_empty() { + details.push_str("\n Context: MISSING (no frames recorded - session recorded before Phase 1)"); + action_result.matched = false; + result.mismatched_actions += 1; + } else { + details.push_str("\n Context: VERIFIED (frames frozen)"); + action_result.matched = true; + result.matched_actions += 1; + } + + action_result.diff = Some(details); + } else { + // Display the recorded ask action details + // LLM responses vary, so we show the original rather than re-executing + let frames_str = if action.affected_frames.is_empty() { + "none recorded".to_string() + } else { + action + .affected_frames + .iter() + .map(std::string::ToString::to_string) + .collect::>() + .join(", ") + }; + + let answer_preview = if action.output_preview.is_empty() { + "(no answer recorded)".to_string() + } else { + // Truncate long answers for display + let preview = &action.output_preview; + if preview.len() > 200 { + format!("{}...", &preview[..200]) + } else { + preview.clone() + } + }; + + // Build detailed output + let details = format!( + "Question: \"{query}\"\n Model: {provider}:{model}\n Retrieved frames: [{frames_str}]\n Answer: \"{answer_preview}\"" + ); + + action_result.matched = true; + action_result.diff = Some(details); + result.matched_actions += 1; + } + } + + ActionType::Checkpoint { checkpoint_id } => { + // Checkpoints don't need replay, just verification + action_result.matched = true; + action_result.diff = Some(format!("Checkpoint {checkpoint_id} verified")); + result.matched_actions += 1; + } + + ActionType::PutMany { frame_ids, count } => { + if self.config.skip_puts { + result.skipped_actions += 1; + action_result.diff = Some("skipped".to_string()); + } else { + // Verify all frames exist + let existing: Vec<_> = frame_ids + .iter() + .filter(|id| self.mem.frame_by_id(**id).is_ok()) + .collect(); + if existing.len() == *count { + action_result.matched = true; + result.matched_actions += 1; + } else { + action_result.matched = false; + action_result.diff = Some(format!( + "Expected {} frames, found {}", + count, + existing.len() + )); + result.mismatched_actions += 1; + } + } + } + + ActionType::Update { frame_id } => { + if self.config.skip_puts { + result.skipped_actions += 1; + action_result.diff = Some("skipped".to_string()); + } else { + // Verify the frame exists (update would have modified it) + if self.mem.frame_by_id(*frame_id).is_ok() { + action_result.matched = true; + result.matched_actions += 1; + } else { + action_result.matched = false; + action_result.diff = Some(format!("Frame {frame_id} not found")); + result.mismatched_actions += 1; + } + } + } + + ActionType::Delete { frame_id } => { + if self.config.skip_puts { + result.skipped_actions += 1; + action_result.diff = Some("skipped".to_string()); + } else { + // Verify the frame is deleted (should not exist) + if self.mem.frame_by_id(*frame_id).is_err() { + action_result.matched = true; + result.matched_actions += 1; + } else { + action_result.matched = false; + action_result.diff = Some(format!("Frame {frame_id} still exists")); + result.mismatched_actions += 1; + } + } + } + + ActionType::ToolCall { name, args_hash: _ } => { + // Tool calls can't be replayed deterministically + result.skipped_actions += 1; + action_result.diff = Some(format!("Tool call '{name}' skipped")); + } + } + + action_result.duration_ms = action_start + .elapsed() + .as_millis() + .try_into() + .unwrap_or(u64::MAX); + result.action_results.push(action_result); + + // Stop on mismatch if configured + if self.config.stop_on_mismatch + && result.mismatched_actions > 0 + && result.action_results.last().is_some_and(|r| !r.matched) + { + break; + } + } + + result.total_duration_ms = start_time + .elapsed() + .as_millis() + .try_into() + .unwrap_or(u64::MAX); + + if self.config.verbose { + tracing::info!( + "Replay completed: {}/{} actions matched ({}%)", + result.matched_actions, + result.total_actions, + result.match_rate() + ); + } + + Ok(result) + } + + /// Compare two sessions to find differences. + #[must_use] + pub fn compare_sessions( + session_a: &ReplaySession, + session_b: &ReplaySession, + ) -> SessionComparison { + let mut comparison = SessionComparison { + session_a_id: session_a.session_id, + session_b_id: session_b.session_id, + actions_only_in_a: Vec::new(), + actions_only_in_b: Vec::new(), + differing_actions: Vec::new(), + matching_actions: 0, + }; + + // Create maps for faster lookup + let a_actions: std::collections::HashMap<_, _> = + session_a.actions.iter().map(|a| (a.sequence, a)).collect(); + let b_actions: std::collections::HashMap<_, _> = + session_b.actions.iter().map(|a| (a.sequence, a)).collect(); + + // Find actions only in A + for seq in a_actions.keys() { + if !b_actions.contains_key(seq) { + comparison.actions_only_in_a.push(*seq); + } + } + + // Find actions only in B + for seq in b_actions.keys() { + if !a_actions.contains_key(seq) { + comparison.actions_only_in_b.push(*seq); + } + } + + // Compare common actions + for (seq, action_a) in &a_actions { + if let Some(action_b) = b_actions.get(seq) { + if action_a.action_type.name() == action_b.action_type.name() { + // Same type, check details + let same = match (&action_a.action_type, &action_b.action_type) { + (ActionType::Put { frame_id: a }, ActionType::Put { frame_id: b }) => { + a == b + } + ( + ActionType::Find { + query: qa, + result_count: ra, + .. + }, + ActionType::Find { + query: qb, + result_count: rb, + .. + }, + ) => qa == qb && ra == rb, + (ActionType::Ask { query: qa, .. }, ActionType::Ask { query: qb, .. }) => { + qa == qb + } + ( + ActionType::Checkpoint { checkpoint_id: a }, + ActionType::Checkpoint { checkpoint_id: b }, + ) => a == b, + _ => false, + }; + + if same { + comparison.matching_actions += 1; + } else { + comparison.differing_actions.push(ActionDiff { + sequence: *seq, + action_type_a: action_a.action_type.name().to_string(), + action_type_b: action_b.action_type.name().to_string(), + description: "Action details differ".to_string(), + }); + } + } else { + comparison.differing_actions.push(ActionDiff { + sequence: *seq, + action_type_a: action_a.action_type.name().to_string(), + action_type_b: action_b.action_type.name().to_string(), + description: format!( + "Action type mismatch: {} vs {}", + action_a.action_type.name(), + action_b.action_type.name() + ), + }); + } + } + } + + comparison + } +} + +/// Comparison result between two sessions. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct SessionComparison { + /// ID of the first session + pub session_a_id: Uuid, + /// ID of the second session + pub session_b_id: Uuid, + /// Action sequences only in session A + pub actions_only_in_a: Vec, + /// Action sequences only in session B + pub actions_only_in_b: Vec, + /// Actions that differ between sessions + pub differing_actions: Vec, + /// Number of matching actions + pub matching_actions: usize, +} + +impl SessionComparison { + /// Check if the sessions are identical. + #[must_use] + pub fn is_identical(&self) -> bool { + self.actions_only_in_a.is_empty() + && self.actions_only_in_b.is_empty() + && self.differing_actions.is_empty() + } +} + +/// A difference between two actions. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct ActionDiff { + /// Sequence number of the action + pub sequence: u64, + /// Action type in session A + pub action_type_a: String, + /// Action type in session B + pub action_type_b: String, + /// Description of the difference + pub description: String, +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::replay::types::ReplayAction; + + #[test] + fn test_replay_result_success() { + let result = ReplayResult { + session_id: Uuid::new_v4(), + total_actions: 10, + matched_actions: 10, + mismatched_actions: 0, + skipped_actions: 0, + action_results: Vec::new(), + total_duration_ms: 100, + from_checkpoint: None, + }; + assert!(result.is_success()); + assert_eq!(result.match_rate(), 100.0); + } + + #[test] + fn test_replay_result_partial() { + let result = ReplayResult { + session_id: Uuid::new_v4(), + total_actions: 10, + matched_actions: 7, + mismatched_actions: 3, + skipped_actions: 0, + action_results: Vec::new(), + total_duration_ms: 100, + from_checkpoint: None, + }; + assert!(!result.is_success()); + assert_eq!(result.match_rate(), 70.0); + } + + #[test] + fn test_session_comparison_identical() { + use std::collections::HashMap; + + let session_a = ReplaySession { + session_id: Uuid::new_v4(), + name: Some("A".to_string()), + created_secs: 0, + ended_secs: Some(100), + actions: vec![ReplayAction::new( + 0, + ActionType::Find { + query: "test".to_string(), + mode: "lex".to_string(), + result_count: 5, + }, + )], + checkpoints: Vec::new(), + metadata: HashMap::new(), + version: 1, + }; + + let session_b = ReplaySession { + session_id: Uuid::new_v4(), + name: Some("B".to_string()), + created_secs: 0, + ended_secs: Some(100), + actions: vec![ReplayAction::new( + 0, + ActionType::Find { + query: "test".to_string(), + mode: "lex".to_string(), + result_count: 5, + }, + )], + checkpoints: Vec::new(), + metadata: HashMap::new(), + version: 1, + }; + + let comparison = ReplayEngine::compare_sessions(&session_a, &session_b); + assert!(comparison.is_identical()); + assert_eq!(comparison.matching_actions, 1); + } +} diff --git a/src/replay/mod.rs b/src/replay/mod.rs new file mode 100644 index 0000000..61586f8 --- /dev/null +++ b/src/replay/mod.rs @@ -0,0 +1,375 @@ +// Safe unwrap: fixed-size byte conversions. +#![allow(clippy::unwrap_used)] +//! Time-travel replay for agent sessions. +//! +//! This module provides deterministic recording and replay of agent sessions, +//! enabling debugging, testing, and auditing of AI agent behavior. +//! +//! # Overview +//! +//! The replay system records every action (put, find, ask) performed on a memory +//! file along with checkpoints of the state. Sessions can then be replayed with +//! different parameters (models, search settings) to detect divergences. +//! +//! # Storage +//! +//! Sessions are stored in a dedicated replay segment within the .mv2 file, +//! maintaining single-file portability. +//! +//! # Example +//! +//! ```ignore +//! // Start recording +//! let session_id = memvid.start_session(Some("Debug Session"))?; +//! +//! // Normal operations are recorded +//! memvid.put_bytes(b"test data")?; +//! let hits = memvid.find("test")?; +//! +//! // End recording +//! let session = memvid.end_session()?; +//! +//! // Later, replay with different model +//! let result = memvid.replay(&session, ReplayOptions { +//! model: Some("gpt-4".into()), +//! ..Default::default() +//! })?; +//! ``` + +mod engine; +mod types; + +pub use engine::{ + ActionDiff, ActionReplayResult, ReplayEngine, ReplayExecutionConfig, + ReplayResult as EngineReplayResult, SessionComparison, +}; +pub use types::{ + ActionType, Checkpoint, ComparisonReport, ComparisonSummary, Divergence, DivergenceType, + ModelResult, REPLAY_SEGMENT_MAGIC, REPLAY_SEGMENT_VERSION, ReplayAction, ReplayManifest, + ReplayOptions, ReplayResult, ReplaySession, SessionSummary, StateSnapshot, +}; + +use crate::MemvidError; +use crate::error::Result; +use uuid::Uuid; + +/// Configuration for replay recording +#[derive(Clone, Debug, Default, serde::Serialize, serde::Deserialize)] +pub struct ReplayConfig { + /// Automatically checkpoint every N actions (0 = disabled) + pub auto_checkpoint_interval: u64, + /// Maximum actions per session before auto-ending + pub max_actions_per_session: Option, + /// Enable recording by default when opening files + pub auto_record: bool, +} + +/// Active recording state for a session (serializable for persistence) +#[derive(Debug, serde::Serialize, serde::Deserialize)] +pub struct ActiveSession { + /// The session being recorded + pub session: ReplaySession, + /// Counter for generating checkpoint IDs + pub next_checkpoint_id: u64, + /// Actions since last checkpoint + pub actions_since_checkpoint: u64, + /// Configuration for this recording + pub config: ReplayConfig, +} + +impl ActiveSession { + /// Create a new active session + #[must_use] + pub fn new(name: Option, config: ReplayConfig) -> Self { + Self { + session: ReplaySession::new(name), + next_checkpoint_id: 0, + actions_since_checkpoint: 0, + config, + } + } + + /// Record an action + pub fn record_action(&mut self, action: ReplayAction) { + self.session.add_action(action); + self.actions_since_checkpoint += 1; + } + + /// Check if auto-checkpoint is due + #[must_use] + pub fn should_checkpoint(&self) -> bool { + self.config.auto_checkpoint_interval > 0 + && self.actions_since_checkpoint >= self.config.auto_checkpoint_interval + } + + /// Create a checkpoint + pub fn create_checkpoint(&mut self, snapshot: StateSnapshot) -> Checkpoint { + let checkpoint = Checkpoint::new( + self.next_checkpoint_id, + self.session.next_sequence().saturating_sub(1), + snapshot, + ); + self.session.add_checkpoint(checkpoint.clone()); + self.next_checkpoint_id += 1; + self.actions_since_checkpoint = 0; + checkpoint + } + + /// End the session and return it + #[must_use] + pub fn end(mut self) -> ReplaySession { + self.session.end(); + self.session + } + + /// Get the session ID + #[must_use] + pub fn session_id(&self) -> Uuid { + self.session.session_id + } +} + +/// Storage operations for replay segments +pub mod storage { + use super::{MemvidError, REPLAY_SEGMENT_MAGIC, REPLAY_SEGMENT_VERSION, ReplaySession, Result}; + use bincode::config::{self, Config}; + use std::io::{Read, Write}; + + fn bincode_config() -> impl Config { + config::standard() + .with_fixed_int_encoding() + .with_little_endian() + } + + /// Header for the replay segment + #[derive(Debug)] + pub struct ReplaySegmentHeader { + pub magic: [u8; 8], + pub version: u32, + pub session_count: u32, + pub total_size: u64, + } + + impl ReplaySegmentHeader { + /// Create a new header + #[must_use] + pub fn new(session_count: u32, total_size: u64) -> Self { + Self { + magic: *REPLAY_SEGMENT_MAGIC, + version: REPLAY_SEGMENT_VERSION, + session_count, + total_size, + } + } + + /// Write the header to a writer + pub fn write(&self, writer: &mut W) -> Result<()> { + writer.write_all(&self.magic)?; + writer.write_all(&self.version.to_le_bytes())?; + writer.write_all(&self.session_count.to_le_bytes())?; + writer.write_all(&self.total_size.to_le_bytes())?; + Ok(()) + } + + /// Read the header from a reader + pub fn read(reader: &mut R) -> Result { + let mut magic = [0u8; 8]; + reader.read_exact(&mut magic)?; + if &magic != REPLAY_SEGMENT_MAGIC { + return Err(MemvidError::InvalidToc { + reason: "Invalid replay segment magic".into(), + }); + } + + let mut version_bytes = [0u8; 4]; + reader.read_exact(&mut version_bytes)?; + let version = u32::from_le_bytes(version_bytes); + + let mut session_count_bytes = [0u8; 4]; + reader.read_exact(&mut session_count_bytes)?; + let session_count = u32::from_le_bytes(session_count_bytes); + + let mut total_size_bytes = [0u8; 8]; + reader.read_exact(&mut total_size_bytes)?; + let total_size = u64::from_le_bytes(total_size_bytes); + + Ok(Self { + magic, + version, + session_count, + total_size, + }) + } + + /// Size of the header in bytes + pub const SIZE: usize = 8 + 4 + 4 + 8; // magic + version + session_count + total_size + } + + /// Serialize a session to bytes + pub fn serialize_session(session: &ReplaySession) -> Result> { + bincode::serde::encode_to_vec(session, bincode_config()).map_err(|e| { + MemvidError::InvalidToc { + reason: format!("Failed to serialize replay session: {e}").into(), + } + }) + } + + /// Deserialize a session from bytes + pub fn deserialize_session(data: &[u8]) -> Result { + bincode::serde::decode_from_slice(data, bincode_config()) + .map(|(session, _)| session) + .map_err(|e| MemvidError::InvalidToc { + reason: format!("Failed to deserialize replay session: {e}").into(), + }) + } + + /// Build a complete replay segment from sessions + pub fn build_segment(sessions: &[ReplaySession]) -> Result> { + let mut session_data: Vec> = Vec::with_capacity(sessions.len()); + let mut total_session_bytes = 0u64; + + for session in sessions { + let data = serialize_session(session)?; + total_session_bytes += data.len() as u64 + 8; // +8 for length prefix + session_data.push(data); + } + + let header = ReplaySegmentHeader::new( + u32::try_from(sessions.len()).unwrap_or(u32::MAX), + ReplaySegmentHeader::SIZE as u64 + total_session_bytes, + ); + + let mut segment = Vec::with_capacity(usize::try_from(header.total_size).unwrap_or(0)); + header.write(&mut segment)?; + + // Write each session with length prefix + for data in session_data { + segment.extend_from_slice(&(data.len() as u64).to_le_bytes()); + segment.extend_from_slice(&data); + } + + Ok(segment) + } + + /// Read sessions from a replay segment + pub fn read_segment(data: &[u8]) -> Result> { + let mut cursor = std::io::Cursor::new(data); + let header = ReplaySegmentHeader::read(&mut cursor)?; + + let mut sessions = Vec::with_capacity(header.session_count as usize); + for _ in 0..header.session_count { + let mut len_bytes = [0u8; 8]; + cursor.read_exact(&mut len_bytes)?; + let len = usize::try_from(u64::from_le_bytes(len_bytes)).unwrap_or(0); + + let mut session_data = vec![0u8; len]; + cursor.read_exact(&mut session_data)?; + + let session = deserialize_session(&session_data)?; + sessions.push(session); + } + + Ok(sessions) + } + + /// Magic bytes for active session marker file + pub const ACTIVE_SESSION_MAGIC: &[u8; 8] = b"MV2ACTIV"; + + /// Serialize an active session to bytes + pub fn serialize_active_session(session: &super::ActiveSession) -> Result> { + let mut data = Vec::new(); + data.extend_from_slice(ACTIVE_SESSION_MAGIC); + let session_bytes = + bincode::serde::encode_to_vec(session, bincode_config()).map_err(|e| { + MemvidError::InvalidToc { + reason: format!("Failed to serialize active session: {e}").into(), + } + })?; + data.extend_from_slice(&(session_bytes.len() as u64).to_le_bytes()); + data.extend_from_slice(&session_bytes); + Ok(data) + } + + /// Deserialize an active session from bytes + pub fn deserialize_active_session(data: &[u8]) -> Result { + if data.len() < 16 { + return Err(MemvidError::InvalidToc { + reason: "Active session data too short".into(), + }); + } + if &data[0..8] != ACTIVE_SESSION_MAGIC { + return Err(MemvidError::InvalidToc { + reason: "Invalid active session magic".into(), + }); + } + let len = usize::try_from(u64::from_le_bytes(data[8..16].try_into().unwrap())).unwrap_or(0); + if data.len() < 16 + len { + return Err(MemvidError::InvalidToc { + reason: "Active session data truncated".into(), + }); + } + bincode::serde::decode_from_slice(&data[16..16 + len], bincode_config()) + .map(|(session, _)| session) + .map_err(|e| MemvidError::InvalidToc { + reason: format!("Failed to deserialize active session: {e}").into(), + }) + } +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_active_session() { + let mut active = ActiveSession::new( + Some("Test".to_string()), + ReplayConfig { + auto_checkpoint_interval: 2, + ..Default::default() + }, + ); + + assert!(!active.should_checkpoint()); + + active.record_action(ReplayAction::new(0, ActionType::Put { frame_id: 1 })); + assert!(!active.should_checkpoint()); + + active.record_action(ReplayAction::new(1, ActionType::Put { frame_id: 2 })); + assert!(active.should_checkpoint()); + + let checkpoint = active.create_checkpoint(StateSnapshot::default()); + assert_eq!(checkpoint.id, 0); + assert!(!active.should_checkpoint()); + + let session = active.end(); + assert!(!session.is_recording()); + assert_eq!(session.actions.len(), 2); + assert_eq!(session.checkpoints.len(), 1); + } + + #[test] + fn test_segment_roundtrip() { + let mut session1 = ReplaySession::new(Some("Session 1".to_string())); + session1.add_action(ReplayAction::new(0, ActionType::Put { frame_id: 1 })); + session1.end(); + + let mut session2 = ReplaySession::new(Some("Session 2".to_string())); + session2.add_action(ReplayAction::new( + 0, + ActionType::Find { + query: "test".into(), + mode: "lexical".into(), + result_count: 5, + }, + )); + session2.end(); + + let segment = storage::build_segment(&[session1.clone(), session2.clone()]).unwrap(); + let restored = storage::read_segment(&segment).unwrap(); + + assert_eq!(restored.len(), 2); + assert_eq!(restored[0].session_id, session1.session_id); + assert_eq!(restored[1].session_id, session2.session_id); + } +} diff --git a/src/replay/types.rs b/src/replay/types.rs new file mode 100644 index 0000000..a0f801c --- /dev/null +++ b/src/replay/types.rs @@ -0,0 +1,547 @@ +//! Types for time-travel replay of agent sessions. +//! +//! This module defines the core data structures for recording, storing, +//! and replaying agent sessions in a deterministic manner. + +use serde::{Deserialize, Serialize}; +use std::collections::HashMap; +use uuid::Uuid; + +/// Magic bytes for replay segment identification +pub const REPLAY_SEGMENT_MAGIC: &[u8; 8] = b"MV2RPLY!"; + +/// Current version of the replay segment format +pub const REPLAY_SEGMENT_VERSION: u32 = 1; + +/// Maximum preview length for input/output strings +pub const MAX_PREVIEW_LENGTH: usize = 512; + +/// A recorded action in an agent session +#[derive(Serialize, Deserialize, Clone, Debug)] +pub struct ReplayAction { + /// Monotonic sequence number within session + pub sequence: u64, + /// Unix timestamp (seconds) for determinism + pub timestamp_secs: i64, + /// Type of action performed + pub action_type: ActionType, + /// Blake3 hash of input data + pub input_hash: [u8; 32], + /// Blake3 hash of output data + pub output_hash: [u8; 32], + /// Preview of input (truncated for storage efficiency) + pub input_preview: String, + /// Preview of output (truncated for storage efficiency) + pub output_preview: String, + /// Frames affected by this action + pub affected_frames: Vec, + /// Duration of the action in milliseconds + #[serde(default)] + pub duration_ms: u64, +} + +impl ReplayAction { + /// Create a new replay action with the current timestamp + #[must_use] + pub fn new(sequence: u64, action_type: ActionType) -> Self { + Self { + sequence, + timestamp_secs: chrono::Utc::now().timestamp(), + action_type, + input_hash: [0; 32], + output_hash: [0; 32], + input_preview: String::new(), + output_preview: String::new(), + affected_frames: Vec::new(), + duration_ms: 0, + } + } + + /// Set the input hash and preview + /// + /// # Security + /// This function implements multiple layers of defense against malicious input: + /// - **Size Validation**: Enforces strict 10MB limit, rejecting larger payloads + /// - **Content Sanitization**: Removes control characters that could enable injection + /// - **Memory Safety**: Uses safe UTF-8 conversion with lossy handling + /// - **`DoS` Prevention**: Prevents memory exhaustion and resource abuse + /// + /// Data exceeding limits is rejected by storing empty values. + #[must_use] + pub fn with_input(mut self, data: &[u8]) -> Self { + // Security: Multi-layer validation to prevent exploitation + const MAX_INPUT_SIZE: usize = 10 * 1024 * 1024; // 10MB hard limit + const WARN_INPUT_SIZE: usize = 1024 * 1024; // 1MB warning threshold + + // Reject oversized data completely to prevent DoS + if data.is_empty() { + // Empty data is safe, use zero hash + self.input_hash = [0; 32]; + self.input_preview = String::new(); + } else if data.len() > MAX_INPUT_SIZE { + // SECURITY: Reject oversized payloads completely + // Store error indicator instead of processing malicious data + self.input_hash = [0xFF; 32]; // Error sentinel value + self.input_preview = format!( + "[ERROR: Input size {} exceeds maximum {}]", + data.len(), + MAX_INPUT_SIZE + ); + } else { + // Valid size: process with sanitization + if data.len() > WARN_INPUT_SIZE { + // Log large but acceptable inputs + eprintln!( + "[SECURITY WARNING] Large input detected: {} bytes", + data.len() + ); + } + self.input_hash = blake3::hash(data).into(); + self.input_preview = Self::sanitize_preview(data); + } + self + } + + /// Sanitize input data for preview display + /// Removes control characters and limits length for security + fn sanitize_preview(data: &[u8]) -> String { + let preview_len = data.len().min(MAX_PREVIEW_LENGTH); + String::from_utf8_lossy(&data[..preview_len]) + .chars() + .filter(|c| !c.is_control() || *c == '\n' || *c == '\t') + .take(MAX_PREVIEW_LENGTH) + .collect() + } + + /// Set the output hash and preview + /// + /// # Security + /// This function implements multiple layers of defense against malicious output: + /// - **Size Validation**: Enforces strict 10MB limit, rejecting larger payloads + /// - **Content Sanitization**: Removes control characters that could enable injection + /// - **Memory Safety**: Uses safe UTF-8 conversion with lossy handling + /// - **`DoS` Prevention**: Prevents memory exhaustion and resource abuse + /// + /// Data exceeding limits is rejected by storing empty values. + #[must_use] + pub fn with_output(mut self, data: &[u8]) -> Self { + // Security: Multi-layer validation to prevent exploitation + const MAX_OUTPUT_SIZE: usize = 10 * 1024 * 1024; // 10MB hard limit + const WARN_OUTPUT_SIZE: usize = 1024 * 1024; // 1MB warning threshold + + // Reject oversized data completely to prevent DoS + if data.is_empty() { + // Empty data is safe, use zero hash + self.output_hash = [0; 32]; + self.output_preview = String::new(); + } else if data.len() > MAX_OUTPUT_SIZE { + // SECURITY: Reject oversized payloads completely + // Store error indicator instead of processing malicious data + self.output_hash = [0xFF; 32]; // Error sentinel value + self.output_preview = format!( + "[ERROR: Output size {} exceeds maximum {}]", + data.len(), + MAX_OUTPUT_SIZE + ); + } else { + // Valid size: process with sanitization + if data.len() > WARN_OUTPUT_SIZE { + // Log large but acceptable outputs + eprintln!( + "[SECURITY WARNING] Large output detected: {} bytes", + data.len() + ); + } + self.output_hash = blake3::hash(data).into(); + self.output_preview = Self::sanitize_preview(data); + } + self + } + + /// Set the affected frames + #[must_use] + pub fn with_affected_frames(mut self, frames: Vec) -> Self { + self.affected_frames = frames; + self + } + + /// Set the duration + #[must_use] + pub fn with_duration_ms(mut self, duration_ms: u64) -> Self { + self.duration_ms = duration_ms; + self + } +} + +/// Type of action recorded in a replay session +#[derive(Serialize, Deserialize, Clone, Debug, PartialEq)] +pub enum ActionType { + /// Frame insertion + Put { frame_id: u64 }, + /// Batch frame insertion + PutMany { frame_ids: Vec, count: usize }, + /// Search query + Find { + query: String, + mode: String, // "lexical", "semantic", "hybrid" + result_count: usize, + }, + /// RAG query + Ask { + query: String, + provider: String, + model: String, + }, + /// Explicit checkpoint + Checkpoint { checkpoint_id: u64 }, + /// Frame update + Update { frame_id: u64 }, + /// Frame deletion + Delete { frame_id: u64 }, + /// Custom tool call (for agent frameworks) + ToolCall { name: String, args_hash: [u8; 32] }, +} + +impl ActionType { + /// Get a human-readable name for the action type + #[must_use] + pub fn name(&self) -> &'static str { + match self { + Self::Put { .. } => "PUT", + Self::PutMany { .. } => "PUT_MANY", + Self::Find { .. } => "FIND", + Self::Ask { .. } => "ASK", + Self::Checkpoint { .. } => "CHECKPOINT", + Self::Update { .. } => "UPDATE", + Self::Delete { .. } => "DELETE", + Self::ToolCall { .. } => "TOOL_CALL", + } + } +} + +/// A checkpoint captures complete state at a point in time +#[derive(Serialize, Deserialize, Clone, Debug)] +pub struct Checkpoint { + /// Unique ID within session + pub id: u64, + /// Sequence number at checkpoint time + pub at_sequence: u64, + /// Unix timestamp + pub timestamp_secs: i64, + /// Blake3 hash of complete state + pub state_hash: [u8; 32], + /// Snapshot of critical state for restoration + pub snapshot: StateSnapshot, +} + +impl Checkpoint { + /// Create a new checkpoint at the current time + #[must_use] + pub fn new(id: u64, at_sequence: u64, snapshot: StateSnapshot) -> Self { + let state_hash = blake3::hash( + &bincode::serde::encode_to_vec(&snapshot, bincode::config::standard()) + .unwrap_or_default(), + ) + .into(); + Self { + id, + at_sequence, + timestamp_secs: chrono::Utc::now().timestamp(), + state_hash, + snapshot, + } + } +} + +/// State snapshot for checkpoint restoration +#[derive(Serialize, Deserialize, Clone, Debug, Default)] +pub struct StateSnapshot { + /// Total frame count at checkpoint + pub frame_count: usize, + /// List of all frame IDs + pub frame_ids: Vec, + /// Hash of lexical index state + pub lex_index_hash: Option<[u8; 32]>, + /// Hash of vector index state + pub vec_index_hash: Option<[u8; 32]>, + /// WAL sequence number + pub wal_sequence: u64, + /// Generation number + pub generation: u64, +} + +/// A complete replay session +#[derive(Serialize, Deserialize, Clone, Debug)] +pub struct ReplaySession { + /// Unique session identifier + pub session_id: Uuid, + /// Human-readable name (optional) + pub name: Option, + /// Creation timestamp + pub created_secs: i64, + /// End timestamp (None if still recording) + pub ended_secs: Option, + /// All checkpoints in order + pub checkpoints: Vec, + /// All actions in order + pub actions: Vec, + /// Custom metadata + pub metadata: HashMap, + /// Session version for future compatibility + #[serde(default = "default_session_version")] + pub version: u32, +} + +fn default_session_version() -> u32 { + 1 +} + +impl ReplaySession { + /// Create a new session with the given name + #[must_use] + pub fn new(name: Option) -> Self { + Self { + session_id: Uuid::new_v4(), + name, + created_secs: chrono::Utc::now().timestamp(), + ended_secs: None, + checkpoints: Vec::new(), + actions: Vec::new(), + metadata: HashMap::new(), + version: 1, + } + } + + /// Check if the session is still recording + #[must_use] + pub fn is_recording(&self) -> bool { + self.ended_secs.is_none() + } + + /// Get the duration of the session in seconds + #[must_use] + pub fn duration_secs(&self) -> u64 { + match self.ended_secs { + Some(end) => u64::try_from((end - self.created_secs).max(0)).unwrap_or(0), + None => u64::try_from((chrono::Utc::now().timestamp() - self.created_secs).max(0)) + .unwrap_or(0), + } + } + + /// Get the next sequence number for a new action + #[must_use] + pub fn next_sequence(&self) -> u64 { + self.actions.last().map_or(0, |a| a.sequence + 1) + } + + /// Add an action to the session + pub fn add_action(&mut self, action: ReplayAction) { + self.actions.push(action); + } + + /// Add a checkpoint to the session + pub fn add_checkpoint(&mut self, checkpoint: Checkpoint) { + self.checkpoints.push(checkpoint); + } + + /// End the session + pub fn end(&mut self) { + if self.ended_secs.is_none() { + self.ended_secs = Some(chrono::Utc::now().timestamp()); + } + } +} + +/// Summary for listing sessions +#[derive(Serialize, Deserialize, Clone, Debug)] +pub struct SessionSummary { + pub session_id: Uuid, + pub name: Option, + pub created_secs: i64, + pub ended_secs: Option, + pub action_count: usize, + pub checkpoint_count: usize, + pub duration_secs: u64, +} + +impl From<&ReplaySession> for SessionSummary { + fn from(session: &ReplaySession) -> Self { + Self { + session_id: session.session_id, + name: session.name.clone(), + created_secs: session.created_secs, + ended_secs: session.ended_secs, + action_count: session.actions.len(), + checkpoint_count: session.checkpoints.len(), + duration_secs: session.duration_secs(), + } + } +} + +/// Manifest stored in TOC for replay segment location +#[derive(Serialize, Deserialize, Clone, Debug, Default)] +pub struct ReplayManifest { + /// Offset to replay segment in file + pub segment_offset: u64, + /// Size of replay segment + pub segment_size: u64, + /// Number of sessions + pub session_count: u32, + /// Total actions across all sessions + pub total_actions: u64, + /// Version of the replay segment format + #[serde(default = "default_replay_version")] + pub version: u32, +} + +fn default_replay_version() -> u32 { + REPLAY_SEGMENT_VERSION +} + +impl ReplayManifest { + /// Check if there are any sessions in the manifest + #[must_use] + pub fn has_sessions(&self) -> bool { + self.session_count > 0 + } +} + +/// Options for replay execution +#[derive(Clone, Debug, Default)] +pub struct ReplayOptions { + /// Start from this checkpoint (0 = beginning) + pub from_checkpoint: u64, + /// Override the LLM model + pub model: Option, + /// Override the provider + pub provider: Option, + /// Override temperature (0.0 for deterministic) + pub temperature: Option, + /// Stop at this sequence number + pub stop_at: Option, + /// Dry run: compare without re-executing LLM calls + pub dry_run: bool, + /// Override search mode + pub search_mode: Option, + /// Override top-k for retrieval + pub top_k: Option, +} + +/// Result of replay execution +#[derive(Clone, Debug)] +pub struct ReplayResult { + pub session_id: Uuid, + pub from_checkpoint: u64, + pub original_actions: Vec, + pub replay_actions: Vec, + pub divergences: Vec, + pub completed: bool, + pub error: Option, +} + +/// A detected divergence between original and replay +#[derive(Clone, Debug)] +pub struct Divergence { + pub at_sequence: u64, + pub action_type: String, + pub divergence_type: DivergenceType, + pub original_preview: String, + pub replay_preview: String, + pub details: Option, +} + +/// Type of divergence detected +#[derive(Clone, Debug, PartialEq)] +pub enum DivergenceType { + /// Different output content + OutputMismatch, + /// Different number of search results + ResultCountDiff { original: usize, replay: usize }, + /// One succeeded, one failed + ErrorVsSuccess, + /// Hash mismatch (unexpected state change) + StateHashMismatch, +} + +/// Result of multi-model comparison +#[derive(Clone, Debug)] +pub struct ComparisonReport { + pub session_id: Uuid, + pub from_checkpoint: u64, + pub models: Vec, + pub summary: ComparisonSummary, +} + +/// Result for a single model in comparison +#[derive(Clone, Debug)] +pub struct ModelResult { + pub provider: String, + pub model: String, + pub actions: Vec, + pub divergence_count: usize, + pub first_divergence: Option, +} + +/// Summary of model comparison +#[derive(Clone, Debug)] +pub struct ComparisonSummary { + pub total_actions: usize, + pub models_compared: usize, + pub unanimous_actions: usize, // All models agreed + pub divergent_actions: usize, // At least one disagreed +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_session_lifecycle() { + let mut session = ReplaySession::new(Some("Test Session".to_string())); + assert!(session.is_recording()); + assert_eq!(session.next_sequence(), 0); + + let action = ReplayAction::new(0, ActionType::Put { frame_id: 1 }); + session.add_action(action); + assert_eq!(session.next_sequence(), 1); + + session.end(); + assert!(!session.is_recording()); + assert!(session.ended_secs.is_some()); + } + + #[test] + fn test_action_type_names() { + assert_eq!(ActionType::Put { frame_id: 0 }.name(), "PUT"); + assert_eq!( + ActionType::Find { + query: "test".into(), + mode: "lexical".into(), + result_count: 0 + } + .name(), + "FIND" + ); + assert_eq!( + ActionType::Ask { + query: "test".into(), + provider: "openai".into(), + model: "gpt-4".into() + } + .name(), + "ASK" + ); + } + + #[test] + fn test_session_summary() { + let mut session = ReplaySession::new(Some("Summary Test".to_string())); + session.add_action(ReplayAction::new(0, ActionType::Put { frame_id: 1 })); + session.add_checkpoint(Checkpoint::new(0, 0, StateSnapshot::default())); + + let summary = SessionSummary::from(&session); + assert_eq!(summary.action_count, 1); + assert_eq!(summary.checkpoint_count, 1); + assert_eq!(summary.name, Some("Summary Test".to_string())); + } +} diff --git a/src/search/mod.rs b/src/search/mod.rs new file mode 100644 index 0000000..297f31c --- /dev/null +++ b/src/search/mod.rs @@ -0,0 +1,225 @@ +mod parser; + +#[cfg(feature = "lex")] +mod tantivy; + +use crate::types::Frame; +use parser::{Expr, FieldTerm, Term, TextTerm}; + +pub(crate) use parser::parse_query; +pub(crate) use parser::{DateRange, ParsedQuery}; + +#[cfg(feature = "lex")] +#[allow(unused_imports)] +pub(crate) use tantivy::{ + EmbeddedLexSegment, EmbeddedLexStorage, LexWalBatch, TantivyEngine, TantivySnapshot, +}; + +pub struct EvaluationContext<'a> { + pub frame: &'a Frame, + pub content_lower: &'a str, +} + +impl ParsedQuery { + pub fn evaluate(&self, ctx: &EvaluationContext<'_>) -> bool { + self.expr.evaluate(ctx) + } + + pub fn text_tokens(&self) -> Vec { + self.expr.collect_tokens() + } + + pub fn required_date_range(&self) -> Option { + self.expr.required_date_range() + } + + pub fn contains_field_terms(&self) -> bool { + self.expr.contains_field_terms() + } +} + +impl TextTerm { + pub(crate) fn matches(&self, haystack: &str) -> bool { + match self { + TextTerm::Word(word) => { + let needle = word.to_ascii_lowercase(); + haystack.contains(&needle) + } + TextTerm::Phrase(phrase) => { + let needle = phrase.to_ascii_lowercase(); + haystack.contains(&needle) + } + TextTerm::Wildcard(pattern) => pattern.regex.is_match(haystack), + } + } +} + +impl FieldTerm { + pub(crate) fn matches(&self, ctx: &EvaluationContext<'_>) -> bool { + match self { + FieldTerm::Uri(value) => ctx + .frame + .uri + .as_deref() + .is_some_and(|uri| uri.eq_ignore_ascii_case(value)), + FieldTerm::Scope(prefix) => ctx + .frame + .uri + .as_deref() + .is_some_and(|uri| uri.starts_with(prefix)), + FieldTerm::Track(track) => ctx + .frame + .track + .as_deref() + .is_some_and(|value| value.eq_ignore_ascii_case(track)), + FieldTerm::Tag(tag) => ctx + .frame + .tags + .iter() + .any(|value| value.eq_ignore_ascii_case(tag)), + FieldTerm::Label(label) => ctx + .frame + .labels + .iter() + .any(|value| value.eq_ignore_ascii_case(label)), + FieldTerm::DateRange(range) => range.matches(ctx.frame), + } + } +} + +impl DateRange { + fn matches(&self, frame: &Frame) -> bool { + if self.start.is_none() && self.end.is_none() { + return true; + } + let mut candidates = Vec::new(); + candidates.push(frame.timestamp); + #[cfg(feature = "temporal_track")] + if let Some(anchor_ts) = frame.anchor_ts { + candidates.push(anchor_ts); + } + for date_str in &frame.content_dates { + if let Some(ts) = parser::parse_date_value(date_str) { + candidates.push(ts); + } + } + candidates.into_iter().any(|ts| self.contains(ts)) + } + + pub(crate) fn contains(&self, timestamp: i64) -> bool { + if let Some(start) = self.start { + if timestamp < start { + return false; + } + } + if let Some(end) = self.end { + if timestamp > end { + return false; + } + } + true + } + + pub fn intersection(&self, other: &Self) -> Self { + let start = match (self.start, other.start) { + (Some(a), Some(b)) => Some(a.max(b)), + (Some(a), None) => Some(a), + (None, Some(b)) => Some(b), + (None, None) => None, + }; + let end = match (self.end, other.end) { + (Some(a), Some(b)) => Some(a.min(b)), + (Some(a), None) => Some(a), + (None, Some(b)) => Some(b), + (None, None) => None, + }; + Self { start, end } + } + + pub fn is_empty(&self) -> bool { + match (self.start, self.end) { + (Some(start), Some(end)) => start > end, + _ => false, + } + } +} + +impl Expr { + fn evaluate(&self, ctx: &EvaluationContext<'_>) -> bool { + match self { + Expr::Or(children) => children.iter().any(|child| child.evaluate(ctx)), + Expr::And(children) => children.iter().all(|child| child.evaluate(ctx)), + Expr::Not(child) => !child.evaluate(ctx), + Expr::Term(term) => term.evaluate(ctx), + } + } + + fn collect_tokens(&self) -> Vec { + let mut tokens = Vec::new(); + self.collect_into(&mut tokens); + tokens + } + + fn collect_into(&self, tokens: &mut Vec) { + match self { + Expr::Or(children) | Expr::And(children) => { + for child in children { + child.collect_into(tokens); + } + } + Expr::Not(child) => child.collect_into(tokens), + Expr::Term(Term::Text(text)) => match text { + TextTerm::Word(word) | TextTerm::Phrase(word) => tokens.push(word.clone()), + TextTerm::Wildcard(pattern) => { + if let Some(seed) = pattern.seed() { + tokens.push(seed); + } + } + }, + Expr::Term(Term::Field(_)) => {} + } + } + + fn required_date_range(&self) -> Option { + match self { + Expr::Term(Term::Field(FieldTerm::DateRange(range))) => Some(range.clone()), + Expr::And(children) => { + let mut combined: Option = None; + for child in children { + if let Some(child_range) = child.required_date_range() { + combined = Some(match combined { + Some(existing) => existing.intersection(&child_range), + None => child_range, + }); + } + } + combined + } + Expr::Or(_) | Expr::Not(_) => None, + Expr::Term(_) => None, + } + } + + fn contains_field_terms(&self) -> bool { + match self { + Expr::Or(children) | Expr::And(children) => { + children.iter().any(parser::Expr::contains_field_terms) + } + Expr::Not(child) => child.contains_field_terms(), + Expr::Term(term) => term.contains_field_terms(), + } + } +} + +impl Term { + fn evaluate(&self, ctx: &EvaluationContext<'_>) -> bool { + match self { + Term::Text(text) => text.matches(ctx.content_lower), + Term::Field(field) => field.matches(ctx), + } + } + + fn contains_field_terms(&self) -> bool { + matches!(self, Term::Field(_)) + } +} diff --git a/src/search/parser.rs b/src/search/parser.rs new file mode 100644 index 0000000..dee6cde --- /dev/null +++ b/src/search/parser.rs @@ -0,0 +1,726 @@ +// Safe unwrap/expect: regex patterns from validated input strings. +#![allow(clippy::unwrap_used, clippy::expect_used)] +use crate::error::MemvidError; +use regex::Regex; +use std::convert::TryFrom; +use time::{Date, Month, OffsetDateTime}; + +pub(crate) fn parse_query(query: &str) -> Result { + let mut lexer = Lexer::new(query); + let tokens = lexer.tokenize()?; + let mut parser = Parser::new(tokens); + let expr = parser.parse_expression()?; + Ok(ParsedQuery { expr }) +} + +#[derive(Debug, Clone)] +pub(crate) struct ParsedQuery { + pub expr: Expr, +} + +#[derive(Debug, Clone)] +pub(crate) enum Expr { + Or(Vec), + And(Vec), + Not(Box), + Term(Term), +} + +#[derive(Debug, Clone)] +pub(crate) enum Term { + Text(TextTerm), + Field(FieldTerm), +} + +#[derive(Debug, Clone)] +pub(crate) enum TextTerm { + Word(String), + Phrase(String), + Wildcard(WildcardPattern), +} + +#[derive(Debug, Clone)] +pub(crate) struct WildcardPattern { + pub raw: String, + pub regex: Regex, +} + +#[derive(Debug, Clone)] +pub(crate) enum FieldTerm { + Uri(String), + Scope(String), + Track(String), + Tag(String), + Label(String), + DateRange(DateRange), +} + +#[derive(Debug, Clone, Default)] +pub(crate) struct DateRange { + pub start: Option, + pub end: Option, +} + +#[derive(Debug, Clone)] +enum Token { + Word(String), + Phrase(String), + Field(String, String), + DateRange(String, String, String), + LParen, + RParen, + And, + Or, + Not, +} + +struct Lexer<'a> { + #[allow(dead_code)] + input: &'a str, + chars: Vec, + index: usize, +} + +impl<'a> Lexer<'a> { + fn new(input: &'a str) -> Self { + Self { + input, + chars: input.chars().collect(), + index: 0, + } + } + + fn tokenize(&mut self) -> Result, MemvidError> { + let mut tokens = Vec::new(); + while let Some(ch) = self.peek() { + if ch.is_whitespace() { + self.index += 1; + continue; + } + match ch { + '(' => { + self.index += 1; + tokens.push(Token::LParen); + } + ')' => { + self.index += 1; + tokens.push(Token::RParen); + } + '"' => { + let phrase = self.read_quoted()?; + tokens.push(Token::Phrase(phrase)); + } + _ => { + if let Some(token) = self.read_field_or_word()? { + tokens.push(token); + } + } + } + } + Ok(tokens) + } + + /// Known field names that should be treated as field queries when followed by `:` + const KNOWN_FIELDS: &'static [&'static str] = + &["uri", "scope", "track", "tag", "label", "date"]; + + fn read_field_or_word(&mut self) -> Result, MemvidError> { + let start = self.index; + let mut colon_pos: Option = None; + + // First pass: scan the word and note if there's a colon + while let Some(ch) = self.peek() { + if ch.is_whitespace() || ch == '(' || ch == ')' { + break; + } + if ch == ':' && colon_pos.is_none() { + colon_pos = Some(self.index); + } + self.index += 1; + } + + // If we found a colon, check if the prefix is a known field name + if let Some(colon_idx) = colon_pos { + let potential_field: String = self.chars[start..colon_idx].iter().collect(); + let potential_field_lower = potential_field.to_ascii_lowercase(); + + if Self::KNOWN_FIELDS.contains(&potential_field_lower.as_str()) { + // Reset index to just after the colon and parse as field + self.index = colon_idx + 1; + return self.read_field(start); + } + } + + // Not a field query - treat the whole thing (including any `:`) as a word + let word: String = self.chars[start..self.index].iter().collect(); + if word.is_empty() { + return Ok(None); + } + match word.as_str() { + "AND" | "and" => Ok(Some(Token::And)), + "OR" | "or" => Ok(Some(Token::Or)), + "NOT" | "not" => Ok(Some(Token::Not)), + _ => Ok(Some(Token::Word(word))), + } + } + + fn read_field(&mut self, field_start: usize) -> Result, MemvidError> { + let field: String = self.chars[field_start..self.index - 1].iter().collect(); + let field = field.to_ascii_lowercase(); + let value_token = match self.peek() { + Some('"') => { + self.index += 1; // skip opening quote + let value = self.read_until_quote()?; + Token::Field(field, value) + } + Some('[') if field == "date" => { + self.index += 1; // skip '[' + let (start, end) = self.read_date_range()?; + Token::DateRange(field, start, end) + } + _ => { + let value_start = self.index; + while let Some(ch) = self.peek() { + if ch.is_whitespace() || ch == '(' || ch == ')' { + break; + } + self.index += 1; + } + let value: String = self.chars[value_start..self.index].iter().collect(); + Token::Field(field, value) + } + }; + Ok(Some(value_token)) + } + + fn read_quoted(&mut self) -> Result { + self.index += 1; // skip opening quote + let value = self.read_until_quote()?; + Ok(value) + } + + fn read_until_quote(&mut self) -> Result { + let start = self.index; + while let Some(ch) = self.peek() { + if ch == '"' { + let value: String = self.chars[start..self.index].iter().collect(); + self.index += 1; // consume closing quote + return Ok(value); + } + self.index += 1; + } + Err(MemvidError::InvalidQuery { + reason: "unterminated quoted string".into(), + }) + } + + fn read_date_range(&mut self) -> Result<(String, String), MemvidError> { + let start_pos = self.index; + while let Some(ch) = self.peek() { + if ch == ']' { + let contents: String = self.chars[start_pos..self.index].iter().collect(); + let contents = contents.trim(); + self.index += 1; // consume ']' + let parts: Vec<_> = contents.split_whitespace().collect(); + if parts.len() != 3 || !parts[1].eq_ignore_ascii_case("TO") { + return Err(MemvidError::InvalidQuery { + reason: "date range must be in format [start TO end]".into(), + }); + } + return Ok((parts[0].to_string(), parts[2].to_string())); + } + self.index += 1; + } + Err(MemvidError::InvalidQuery { + reason: "unterminated date range".into(), + }) + } + + fn peek(&self) -> Option { + self.chars.get(self.index).copied() + } +} + +struct Parser { + tokens: Vec, + position: usize, +} + +impl Parser { + fn new(tokens: Vec) -> Self { + Self { + tokens, + position: 0, + } + } + + fn parse_expression(&mut self) -> Result { + let mut expr = self.parse_term()?; + while self.match_token(TokenKind::Or) { + let rhs = self.parse_term()?; + expr = match expr { + Expr::Or(mut list) => { + list.push(rhs); + Expr::Or(list) + } + _ => Expr::Or(vec![expr, rhs]), + }; + } + Ok(expr) + } + + fn parse_term(&mut self) -> Result { + let mut expr = self.parse_factor()?; + loop { + if self.match_token(TokenKind::And) { + let rhs = self.parse_factor()?; + expr = match expr { + Expr::And(mut list) => { + list.push(rhs); + Expr::And(list) + } + _ => Expr::And(vec![expr, rhs]), + }; + continue; + } + if self.check(TokenKind::Or) || self.check(TokenKind::RParen) || self.is_end() { + break; + } + // Implicit word separation (no explicit AND/OR) defaults to AND for precision + let rhs = self.parse_factor()?; + expr = match expr { + Expr::And(mut list) => { + list.push(rhs); + Expr::And(list) + } + _ => Expr::And(vec![expr, rhs]), + }; + } + Ok(expr) + } + + fn parse_factor(&mut self) -> Result { + if self.match_token(TokenKind::Not) { + let inner = self.parse_factor()?; + return Ok(Expr::Not(Box::new(inner))); + } + self.parse_primary() + } + + fn parse_primary(&mut self) -> Result { + if self.match_token(TokenKind::LParen) { + let expr = self.parse_expression()?; + self.consume(TokenKind::RParen, "expected ')' after expression")?; + return Ok(expr); + } + match self.advance() { + Some(Token::Word(word)) => Ok(Expr::Term(Term::Text(TextTerm::from_word(word)))), + Some(Token::Phrase(phrase)) => Ok(Expr::Term(Term::Text(TextTerm::Phrase( + phrase.to_ascii_lowercase(), + )))), + Some(Token::Field(field, value)) => { + let term = FieldTerm::from_pair(&field, &value)?; + Ok(Expr::Term(Term::Field(term))) + } + Some(Token::DateRange(field, start, end)) => { + let term = FieldTerm::from_date_range(&field, &start, &end)?; + Ok(Expr::Term(Term::Field(term))) + } + Some(token) => Err(MemvidError::InvalidQuery { + reason: format!("unexpected token {token:?}"), + }), + None => Err(MemvidError::InvalidQuery { + reason: "unexpected end of query".into(), + }), + } + } + + fn advance(&mut self) -> Option { + if self.is_end() { + None + } else { + let token = self.tokens[self.position].clone(); + self.position += 1; + Some(token) + } + } + + fn match_token(&mut self, kind: TokenKind) -> bool { + if self.check(kind) { + self.position += 1; + true + } else { + false + } + } + + fn consume(&mut self, kind: TokenKind, message: &str) -> Result<(), MemvidError> { + if self.check(kind) { + self.position += 1; + Ok(()) + } else { + Err(MemvidError::InvalidQuery { + reason: message.into(), + }) + } + } + + fn check(&self, kind: TokenKind) -> bool { + if self.is_end() { + return false; + } + kind.matches(&self.tokens[self.position]) + } + + fn is_end(&self) -> bool { + self.position >= self.tokens.len() + } +} + +enum TokenKind { + LParen, + RParen, + And, + Or, + Not, +} + +impl TokenKind { + fn matches(&self, token: &Token) -> bool { + matches!( + (self, token), + (TokenKind::LParen, Token::LParen) + | (TokenKind::RParen, Token::RParen) + | (TokenKind::And, Token::And) + | (TokenKind::Or, Token::Or) + | (TokenKind::Not, Token::Not) + ) + } +} + +impl TextTerm { + fn from_word(word: String) -> Self { + // Strip trailing question marks - they're punctuation, not wildcards + // Users type "What is machine?" as a question, not a wildcard pattern + let lower = word.to_ascii_lowercase(); + let trimmed = lower.trim_end_matches('?'); + + // Strip leading/trailing punctuation that won't tokenize well + let cleaned = trimmed.trim_matches(|c: char| !c.is_alphanumeric() && c != '*' && c != '?'); + + // Only treat * or ? as wildcards when they're NOT at the end + // (i.e., "mach?ne" or "mach*" are wildcards, but "machine?" is just "machine") + if cleaned.contains('*') || cleaned.contains('?') { + TextTerm::Wildcard(WildcardPattern::new(cleaned.to_string())) + } else if cleaned.is_empty() || !cleaned.chars().any(char::is_alphanumeric) { + // If the word has no alphanumeric chars, treat as empty + // (e.g., "-", "---", ":", etc. won't produce tokens anyway) + TextTerm::Word(String::new()) + } else { + TextTerm::Word(cleaned.to_string()) + } + } +} + +impl FieldTerm { + fn from_pair(field: &str, value: &str) -> Result { + let normalized = value.trim_matches('"').to_ascii_lowercase(); + match field { + "uri" => Ok(FieldTerm::Uri(normalized)), + "scope" => Ok(FieldTerm::Scope(normalized)), + "track" => Ok(FieldTerm::Track(normalized)), + "tag" => Ok(FieldTerm::Tag(normalized)), + "label" => Ok(FieldTerm::Label(normalized)), + _ => Err(MemvidError::InvalidQuery { + reason: format!("unsupported field: {field}"), + }), + } + } + + fn from_date_range(field: &str, start: &str, end: &str) -> Result { + if field != "date" { + return Err(MemvidError::InvalidQuery { + reason: format!("unexpected field for date range: {field}"), + }); + } + let range = DateRange { + start: parse_date_value(start), + end: parse_date_value(end), + }; + Ok(FieldTerm::DateRange(range)) + } +} + +pub(crate) fn parse_date_value(value: &str) -> Option { + let trimmed = value.trim_matches('"'); + if trimmed.is_empty() || trimmed == "*" { + return None; + } + + if let Ok(dt) = OffsetDateTime::parse(trimmed, &time::format_description::well_known::Rfc3339) { + return Some(dt.unix_timestamp()); + } + + parse_ymd(trimmed) +} + +fn parse_ymd(input: &str) -> Option { + let parts: Vec<_> = input.split('-').collect(); + match parts.len() { + 3 => { + let year: i32 = parts[0].parse().ok()?; + let month: u8 = parts[1].parse().ok()?; + let day: u8 = parts[2].parse().ok()?; + let month = Month::try_from(month).ok()?; + let date = Date::from_calendar_date(year, month, day).ok()?; + Some(date.with_hms(0, 0, 0).ok()?.assume_utc().unix_timestamp()) + } + 2 => { + let year: i32 = parts[0].parse().ok()?; + let month: u8 = parts[1].parse().ok()?; + let month = Month::try_from(month).ok()?; + let date = Date::from_calendar_date(year, month, 1).ok()?; + Some(date.with_hms(0, 0, 0).ok()?.assume_utc().unix_timestamp()) + } + 1 => { + if input.len() == 4 && input.chars().all(|c| c.is_ascii_digit()) { + let year: i32 = input.parse().ok()?; + let date = Date::from_calendar_date(year, Month::January, 1).ok()?; + Some(date.with_hms(0, 0, 0).ok()?.assume_utc().unix_timestamp()) + } else { + None + } + } + _ => None, + } +} + +impl WildcardPattern { + fn new(raw: String) -> Self { + let mut pattern = String::from("^"); + for ch in raw.chars() { + match ch { + '*' => pattern.push_str(".*"), + '?' => pattern.push('.'), + _ => pattern.push_str(®ex::escape(&ch.to_string())), + } + } + pattern.push('$'); + let regex = Regex::new(&pattern).unwrap_or_else(|_| Regex::new("^$").unwrap()); + Self { raw, regex } + } + + pub fn seed(&self) -> Option { + self.raw + .split('*') + .next() + .map(|segment| segment.split('?').next().unwrap_or("")) + .filter(|seed| !seed.is_empty()) + .map(std::string::ToString::to_string) + } +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn parses_basic_query() { + parse_query("alpha AND beta").expect("parse"); + } + + #[test] + fn parses_field_filters() { + parse_query("tag:important AND uri:mv2://docs/foo").expect("parse"); + } + + #[test] + fn parses_date_range() { + parse_query("date:[2024-01-01 TO 2024-12-31] AND rust").expect("parse"); + } + + #[test] + fn unknown_field_colon_treated_as_word() { + // "IRR:" should NOT be treated as a field query - it's just text with a colon + let result = parse_query("LP IRR: percentage"); + assert!( + result.is_ok(), + "query with unknown field colon should parse" + ); + } + + #[test] + fn colon_in_middle_of_text() { + // Colons in the middle of text should be preserved + let result = parse_query("ratio:1:2:3"); + assert!(result.is_ok(), "colons in text should be allowed"); + } + + #[test] + fn known_fields_still_work() { + // Known field queries should still work + assert!(parse_query("tag:important").is_ok()); + assert!(parse_query("uri:mv2://docs").is_ok()); + assert!(parse_query("scope:project").is_ok()); + assert!(parse_query("track:main").is_ok()); + assert!(parse_query("label:todo").is_ok()); + } + + #[test] + fn mixed_known_and_unknown_fields() { + // Mix of real field queries and text with colons + let result = parse_query("tag:work IRR:percentage ratio:2"); + assert!(result.is_ok(), "mixed query should parse"); + } + + #[test] + fn punctuation_only_tokens_handled() { + // Standalone punctuation should parse (will be filtered to empty) + assert!(parse_query("-").is_ok()); + assert!(parse_query("-- ---").is_ok()); + assert!(parse_query("LP IRR - year 1").is_ok()); + } + + #[test] + fn text_term_filters_punctuation() { + // Punctuation-only words should produce empty Word + match TextTerm::from_word("-".to_string()) { + TextTerm::Word(w) => assert!(w.is_empty(), "'-' should produce empty word"), + _ => panic!("expected Word variant"), + } + + match TextTerm::from_word("---".to_string()) { + TextTerm::Word(w) => assert!(w.is_empty(), "'---' should produce empty word"), + _ => panic!("expected Word variant"), + } + + // But words with alphanumeric content should be preserved + match TextTerm::from_word("test-word".to_string()) { + TextTerm::Word(w) => assert_eq!(w, "test-word"), + _ => panic!("expected Word variant"), + } + } + + // Tests for implicit AND operator behavior + // These tests verify the fix that changes implicit multi-word queries + // from OR to AND for better precision + #[test] + fn implicit_and_behavior() { + let result = parse_query("machine learning").expect("parse"); + match result.expr { + Expr::And(children) => { + assert_eq!(children.len(), 2, "Should have 2 AND terms"); + } + _ => panic!("Expected Expr::And, got {:?}", result.expr), + } + } + + #[test] + fn implicit_and_three_words() { + let result = parse_query("machine learning python").expect("parse"); + match result.expr { + Expr::And(children) => { + assert_eq!(children.len(), 3, "Should have 3 AND terms"); + } + _ => panic!("Expected Expr::And with 3 children"), + } + } + + #[test] + fn explicit_or_still_works() { + let result = parse_query("machine OR learning").expect("parse"); + match result.expr { + Expr::Or(children) => { + assert_eq!(children.len(), 2, "Should have 2 OR terms"); + } + _ => panic!("Expected Expr::Or"), + } + } + + #[test] + fn explicit_and_still_works() { + let result = parse_query("machine AND learning").expect("parse"); + match result.expr { + Expr::And(children) => { + assert_eq!(children.len(), 2, "Should have 2 AND terms"); + } + _ => panic!("Expected Expr::And"), + } + } + + #[test] + fn mixed_explicit_and_implicit() { + let result = parse_query("machine learning OR python").expect("parse"); + match result.expr { + Expr::Or(children) => { + assert_eq!(children.len(), 2, "Should have 2 OR branches"); + match &children[0] { + Expr::And(and_children) => { + assert_eq!( + and_children.len(), + 2, + "First branch should have 2 AND terms" + ); + } + _ => panic!("First OR branch should be AND"), + } + } + _ => panic!("Expected Expr::Or at top level"), + } + } + + #[test] + fn phrase_and_word_implicit_and() { + let result = parse_query("\"machine learning\" python").expect("parse"); + match result.expr { + Expr::And(children) => { + assert_eq!(children.len(), 2, "Should have 2 AND terms"); + } + _ => panic!("Expected Expr::And"), + } + } + + #[test] + fn field_and_word_implicit_and() { + let result = parse_query("tag:important urgent").expect("parse"); + match result.expr { + Expr::And(children) => { + assert_eq!(children.len(), 2, "Should have 2 AND terms"); + } + _ => panic!("Expected Expr::And"), + } + } + + #[test] + fn parentheses_preserve_implicit_and() { + // (machine learning) python actually flattens to And([machine, learning, python]) + // This is correct optimizer behavior + let result = parse_query("(machine learning) python").expect("parse"); + match result.expr { + Expr::And(children) => { + // The parser flattens nested ANDs for efficiency + assert_eq!(children.len(), 3, "Should have 3 AND terms (flattened)"); + } + _ => panic!("Expected Expr::And"), + } + } + + #[test] + fn parentheses_with_different_operators() { + // Test that parentheses work when needed: (machine OR learning) AND python + let result = parse_query("(machine OR learning) python").expect("parse"); + match result.expr { + Expr::And(children) => { + assert_eq!(children.len(), 2, "Should have 2 AND terms"); + // First child is OR expression + match &children[0] { + Expr::Or(or_children) => { + assert_eq!(or_children.len(), 2, "OR should have 2 terms"); + } + _ => panic!("First child should be OR"), + } + } + _ => panic!("Expected Expr::And at top level"), + } + } +} diff --git a/src/search/tantivy/engine.rs b/src/search/tantivy/engine.rs new file mode 100644 index 0000000..0012f28 --- /dev/null +++ b/src/search/tantivy/engine.rs @@ -0,0 +1,429 @@ +use super::query; +use super::schema::{build_schema, initialise_tokenizer}; +use super::util::to_search_value; +use crate::search::parser::ParsedQuery; +use crate::types::{Frame, FrameId}; +use crate::{MemvidError, Result}; +use blake3::{Hasher, hash}; +use tantivy::collector::TopDocs; +use tantivy::indexer::IndexWriter; +use tantivy::schema::{Field, OwnedValue, Schema, TantivyDocument}; +use tantivy::{Index, IndexReader, Term, doc}; +use tempfile::TempDir; + +/// Tantivy-backed search index used when the `lex` feature is enabled. +/// +/// Field order is load-bearing for `Drop`: Rust drops struct fields in +/// declaration order, so `work_dir` (the temporary directory backing the +/// index) **must remain the last field**. The `index`, `reader`, and +/// `index_writer` all keep file handles and lock files open inside that +/// directory; if the `TempDir` were dropped first, its directory removal +/// would fail on platforms that refuse to delete files with open handles +/// (notably Windows), silently leaking one working directory per discarded +/// engine. See https://github.com/memvid/memvid/issues/215. +pub struct TantivyEngine { + pub(super) index: Index, + pub(super) _schema: Schema, + pub(super) content: Field, + pub(super) tags: Field, + pub(super) labels: Field, + pub(super) track: Field, + pub(super) timestamp: Field, + pub(super) uri: Field, + pub(super) frame_id: Field, + pub(super) index_writer: Option, + pub(super) reader: IndexReader, + pub(super) tokenizer: Option, + // MUST be the last field — see the type-level comment above. + pub(super) work_dir: TempDir, +} + +impl Drop for TantivyEngine { + fn drop(&mut self) { + // Release the exclusive writer (and its `.tantivy-writer.lock`) before + // the `work_dir` TempDir is removed during normal field drop. Without + // this the writer lock can still be held when the directory removal + // runs, leaking the working directory on Windows. See issue #215. + if let Some(writer) = self.index_writer.take() { + drop(writer); + } + } +} + +/// Search hit returned from Tantivy queries. +pub struct TantivyDocHit { + pub frame_id: u64, + pub score: f32, + #[allow(dead_code)] // Content preserved for debugging; evaluation uses frame metadata + pub content: String, +} + +#[derive(Debug, Clone)] +pub struct TantivySnapshot { + pub doc_count: u64, + pub checksum: [u8; 32], + pub segments: Vec, +} + +#[derive(Debug, Clone)] +pub struct TantivySegmentBlob { + pub path: String, + pub bytes: Vec, + pub checksum: [u8; 32], +} + +impl TantivyEngine { + pub fn create() -> Result { + let dir = TempDir::new().map_err(|err| MemvidError::Tantivy { + reason: format!("failed to allocate Tantivy work directory: {err}"), + })?; + let schema = build_schema(); + let index = Index::create_in_dir(dir.path(), schema.clone()).map_err(|err| { + MemvidError::Tantivy { + reason: err.to_string(), + } + })?; + initialise_tokenizer(&index); + Self::from_parts(dir, index, schema) + } + + pub fn open_from_dir(dir: TempDir) -> Result { + let index = Index::open_in_dir(dir.path()).map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + initialise_tokenizer(&index); + let schema = index.schema(); + Self::from_parts(dir, index, schema) + } + + fn from_parts(dir: TempDir, index: Index, schema: Schema) -> Result { + let content = schema + .get_field("content") + .map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + let tags = schema + .get_field("tags") + .map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + let labels = schema + .get_field("labels") + .map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + let track = schema + .get_field("track") + .map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + let timestamp = schema + .get_field("timestamp") + .map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + let uri = schema + .get_field("uri") + .map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + let frame_id = schema + .get_field("frame_id") + .map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + + let writer = index + .writer(50_000_000) + .map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + let reader = index.reader().map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + + Ok(Self { + work_dir: dir, + index, + _schema: schema, + content, + tags, + labels, + track, + timestamp, + uri, + frame_id, + index_writer: Some(writer), + reader, + tokenizer: Some("memvid_default".to_string()), + }) + } + + fn take_writer(&mut self) -> Result { + self.index_writer.take().ok_or(MemvidError::Tantivy { + reason: "tantivy index writer unavailable".into(), + }) + } + + fn writer_mut(&mut self) -> Result<&mut IndexWriter> { + self.index_writer.as_mut().ok_or(MemvidError::Tantivy { + reason: "tantivy index writer unavailable".into(), + }) + } + + fn create_writer(&self) -> Result { + // Use single thread for deterministic index generation + self.index + .writer_with_num_threads(1, 50_000_000) + .map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + }) + } + + pub fn add_frame(&mut self, frame: &Frame, content: &str) -> Result<()> { + if content.trim().is_empty() { + return Ok(()); + } + let mut document = doc!( + self.content => content, + self.timestamp => frame.timestamp, + self.frame_id => frame.id, + ); + for tag in &frame.tags { + document.add_text(self.tags, to_search_value(tag)); + } + for label in &frame.labels { + document.add_text(self.labels, to_search_value(label)); + } + if let Some(track) = &frame.track { + document.add_text(self.track, to_search_value(track)); + } + if let Some(uri) = &frame.uri { + document.add_text(self.uri, to_search_value(uri)); + } + self.writer_mut()? + .add_document(document) + .map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + Ok(()) + } + + pub fn delete_frame(&mut self, frame_id: FrameId) -> Result<()> { + let term = Term::from_field_u64(self.frame_id, frame_id); + if let Some(writer) = self.index_writer.as_mut() { + writer.delete_term(term); + } + Ok(()) + } + + pub fn commit(&mut self) -> Result<()> { + let mut writer = self.take_writer()?; + writer.commit().map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + writer + .wait_merging_threads() + .map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + self.index_writer = Some(self.create_writer()?); + self.reader.reload().map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + Ok(()) + } + + /// Soft commit that makes documents searchable immediately without waiting for merge. + /// Used for instant indexing during progressive ingestion (Phase 1). + /// This is faster than full `commit()` but leaves segments unmerged. + pub fn soft_commit(&mut self) -> Result<()> { + let writer = self.writer_mut()?; + writer.commit().map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + // Don't wait for merge threads - let them run in background + // Reload reader to make new documents searchable immediately + self.reader.reload().map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + Ok(()) + } + + /// Add frame and make it searchable immediately via soft commit. + /// Returns Ok(true) if the frame was indexed, Ok(false) if skipped (empty content). + #[allow(dead_code)] + pub fn add_frame_immediate(&mut self, frame: &Frame, content: &str) -> Result { + if content.trim().is_empty() { + return Ok(false); + } + self.add_frame(frame, content)?; + self.soft_commit()?; + Ok(true) + } + + pub fn reset(&mut self) -> Result<()> { + let mut writer = self.take_writer()?; + writer + .delete_all_documents() + .map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + writer.commit().map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + writer + .wait_merging_threads() + .map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + self.index_writer = Some(self.create_writer()?); + self.reader.reload().map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + Ok(()) + } + + pub fn search_documents( + &self, + parsed: &ParsedQuery, + uri_filter: Option<&str>, + scope_filter: Option<&str>, + frame_filter: Option<&[u64]>, + limit: usize, + ) -> Result> { + if let Some(ids) = frame_filter { + if ids.is_empty() { + return Ok(Vec::new()); + } + } + + let query = query::build_root_query(self, parsed, uri_filter, scope_filter, frame_filter)?; + let doc_limit = limit.max(1); + let searcher = self.reader.searcher(); + let top_docs = searcher + .search(&query, &TopDocs::with_limit(doc_limit)) + .map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + let mut results = Vec::new(); + for (score, address) in top_docs { + let document: TantivyDocument = + searcher.doc(address).map_err(|err| MemvidError::Tantivy { + reason: err.to_string(), + })?; + let frame_id = match document.get_first(self.frame_id) { + Some(value) => match OwnedValue::from(value) { + OwnedValue::U64(id) => id, + _ => { + return Err(MemvidError::Tantivy { + reason: "tantivy doc missing frame_id".into(), + }); + } + }, + None => { + return Err(MemvidError::Tantivy { + reason: "tantivy doc missing frame_id".into(), + }); + } + }; + let content = match document.get_first(self.content) { + Some(value) => match OwnedValue::from(value) { + OwnedValue::Str(text) => text, + _ => String::new(), + }, + None => String::new(), + }; + results.push(TantivyDocHit { + frame_id, + score, + content, + }); + } + Ok(results) + } + + pub fn snapshot_segments(&self) -> Result { + let entries = + std::fs::read_dir(self.work_dir.path()).map_err(|err| MemvidError::Tantivy { + reason: format!( + "failed to read Tantivy index directory {}: {}", + self.work_dir.path().display(), + err + ), + })?; + let mut file_names: Vec = Vec::new(); + for entry in entries { + let entry = entry.map_err(|err| MemvidError::Tantivy { + reason: format!( + "failed to iterate Tantivy index directory {}: {}", + self.work_dir.path().display(), + err + ), + })?; + let file_type = entry.file_type().map_err(|err| MemvidError::Tantivy { + reason: format!( + "failed to inspect Tantivy index entry {}: {}", + entry.path().display(), + err + ), + })?; + if file_type.is_file() { + let name = entry.file_name().to_string_lossy().into_owned(); + // Skip Tantivy lock files - they're held open and cause Windows errors + if name.starts_with(".tantivy-") { + continue; + } + file_names.push(name); + } + } + file_names.sort(); + + let mut segments = Vec::with_capacity(file_names.len()); + let mut index_hasher = Hasher::new(); + + for name in file_names { + let path = self.work_dir.path().join(&name); + let bytes = std::fs::read(&path).map_err(|err| MemvidError::Tantivy { + reason: format!("failed to read Tantivy segment {}: {}", path.display(), err), + })?; + let checksum = *hash(&bytes).as_bytes(); + index_hasher.update(&checksum); + index_hasher.update(name.as_bytes()); + segments.push(TantivySegmentBlob { + path: name, + bytes, + checksum, + }); + } + + let checksum = *index_hasher.finalize().as_bytes(); + Ok(TantivySnapshot { + doc_count: self.reader.searcher().num_docs(), + checksum, + segments, + }) + } + + pub(crate) fn analyse_text(&self, text: &str) -> Vec { + if let Some(name) = &self.tokenizer { + if let Some(mut analyzer) = self.index.tokenizers().get(name) { + let mut stream = analyzer.token_stream(text); + let mut tokens = Vec::new(); + while stream.advance() { + tokens.push(stream.token().text.to_string()); + } + return tokens; + } + } + if text.trim().is_empty() { + Vec::new() + } else { + vec![text.to_ascii_lowercase()] + } + } + + pub fn num_docs(&self) -> u64 { + self.reader.searcher().num_docs() + } +} diff --git a/src/search/tantivy/mod.rs b/src/search/tantivy/mod.rs new file mode 100644 index 0000000..73fdfe0 --- /dev/null +++ b/src/search/tantivy/mod.rs @@ -0,0 +1,15 @@ +//! Tantivy-backed lexical search integration. + +mod engine; +mod query; +mod schema; +mod storage; +mod util; +mod wal; + +#[allow(unused_imports)] +pub use engine::{TantivyDocHit, TantivyEngine, TantivySnapshot}; +#[allow(unused_imports)] +pub(crate) use storage::{EmbeddedLexSegment, EmbeddedLexStorage}; +#[allow(unused_imports)] +pub(crate) use wal::LexWalBatch; diff --git a/src/search/tantivy/query.rs b/src/search/tantivy/query.rs new file mode 100644 index 0000000..6800278 --- /dev/null +++ b/src/search/tantivy/query.rs @@ -0,0 +1,264 @@ +// Safe unwrap: single-element vector pop after length check. +#![allow(clippy::unwrap_used)] +use std::ops::Bound; + +use super::engine::TantivyEngine; +use super::util::{combine_should_queries, to_search_value}; +use crate::search::parser::{Expr, FieldTerm, ParsedQuery, Term as ParsedTerm, TextTerm}; +use crate::{MemvidError, Result}; +use tantivy::Term; +use tantivy::query::{ + AllQuery, BooleanQuery, Occur, PhraseQuery, Query, RangeQuery, RegexQuery, TermQuery, + TermSetQuery, +}; +use tantivy::schema::IndexRecordOption; + +pub(super) fn build_root_query( + engine: &TantivyEngine, + parsed: &ParsedQuery, + uri_filter: Option<&str>, + scope_filter: Option<&str>, + frame_filter: Option<&[u64]>, +) -> Result> { + QueryPlanner { engine }.build_root_query(parsed, uri_filter, scope_filter, frame_filter) +} + +struct QueryPlanner<'a> { + engine: &'a TantivyEngine, +} + +impl QueryPlanner<'_> { + fn build_root_query( + &self, + parsed: &ParsedQuery, + uri_filter: Option<&str>, + scope_filter: Option<&str>, + frame_filter: Option<&[u64]>, + ) -> Result> { + let mut clauses: Vec<(Occur, Box)> = Vec::new(); + clauses.push((Occur::Must, self.build_expr_query(&parsed.expr)?)); + + if let Some(uri) = uri_filter { + let normalized = to_search_value(uri); + let term = Term::from_field_text(self.engine.uri, &normalized); + clauses.push(( + Occur::Must, + Box::new(TermQuery::new(term, IndexRecordOption::Basic)), + )); + } else if scope_filter.is_some() { + // Scope filters are evaluated after fetching the documents. + } + + if let Some(ids) = frame_filter { + if !ids.is_empty() { + let terms: Vec = ids + .iter() + .map(|id| Term::from_field_u64(self.engine.frame_id, *id)) + .collect(); + clauses.push((Occur::Must, Box::new(TermSetQuery::new(terms)))); + } + } + + if clauses.len() == 1 { + Ok(clauses.into_iter().next().unwrap().1) + } else { + Ok(Box::new(BooleanQuery::new(clauses))) + } + } + + fn build_expr_query(&self, expr: &Expr) -> Result> { + match expr { + Expr::Or(children) => { + if children.is_empty() { + return Ok(Box::new(AllQuery)); + } + if children.len() == 1 { + return self.build_expr_query(&children[0]); + } + let mut clauses = Vec::with_capacity(children.len()); + for child in children { + clauses.push((Occur::Should, self.build_expr_query(child)?)); + } + Ok(Box::new(BooleanQuery::new(clauses))) + } + Expr::And(children) => { + if children.is_empty() { + return Ok(Box::new(AllQuery)); + } + if children.len() == 1 { + return self.build_expr_query(&children[0]); + } + let mut clauses = Vec::with_capacity(children.len()); + for child in children { + clauses.push((Occur::Must, self.build_expr_query(child)?)); + } + Ok(Box::new(BooleanQuery::new(clauses))) + } + Expr::Not(child) => Ok(Box::new(BooleanQuery::new(vec![ + (Occur::Must, Box::new(AllQuery)), + (Occur::MustNot, self.build_expr_query(child)?), + ]))), + Expr::Term(term) => self.build_term_query(term), + } + } + + fn build_term_query(&self, term: &ParsedTerm) -> Result> { + match term { + ParsedTerm::Text(text) => self.build_text_query(text), + ParsedTerm::Field(field) => self.build_field_query(field), + } + } + + fn build_text_query(&self, text: &TextTerm) -> Result> { + match text { + TextTerm::Word(word) => self.build_word_query(word), + TextTerm::Phrase(phrase) => self.build_phrase_query(phrase), + TextTerm::Wildcard(pattern) => { + let regex = pattern.regex.as_str().to_ascii_lowercase(); + let query = + RegexQuery::from_pattern(®ex, self.engine.content).map_err(|err| { + MemvidError::Tantivy { + reason: err.to_string(), + } + })?; + Ok(Box::new(query)) + } + } + } + + fn build_field_query(&self, field: &FieldTerm) -> Result> { + match field { + FieldTerm::Uri(value) => { + let normalized = to_search_value(value); + Ok(Box::new(TermQuery::new( + Term::from_field_text(self.engine.uri, &normalized), + IndexRecordOption::Basic, + ))) + } + FieldTerm::Scope(_) => Ok(Box::new(AllQuery)), + FieldTerm::Track(value) => { + let normalized = to_search_value(value); + Ok(Box::new(TermQuery::new( + Term::from_field_text(self.engine.track, &normalized), + IndexRecordOption::Basic, + ))) + } + FieldTerm::Tag(value) => { + let normalized = to_search_value(value); + Ok(Box::new(TermQuery::new( + Term::from_field_text(self.engine.tags, &normalized), + IndexRecordOption::Basic, + ))) + } + FieldTerm::Label(value) => { + let normalized = to_search_value(value); + Ok(Box::new(TermQuery::new( + Term::from_field_text(self.engine.labels, &normalized), + IndexRecordOption::Basic, + ))) + } + FieldTerm::DateRange(range) => { + let lower = range.start.map_or(Bound::Unbounded, |value| { + Bound::Included(Term::from_field_i64(self.engine.timestamp, value)) + }); + let upper = range.end.map_or(Bound::Unbounded, |value| { + Bound::Included(Term::from_field_i64(self.engine.timestamp, value)) + }); + Ok(Box::new(RangeQuery::new(lower, upper))) + } + } + } + + fn build_word_query(&self, word: &str) -> Result> { + // Handle empty words gracefully (from punctuation-only tokens like "-") + if word.is_empty() { + return Ok(Box::new(AllQuery)); + } + + let tokens = self.engine.analyse_text(word); + if tokens.is_empty() { + // Word produced no tokens after analysis - match all instead of erroring + // This can happen with punctuation-only or stop-word-only terms + return Ok(Box::new(AllQuery)); + } + let mut queries: Vec> = Vec::new(); + if tokens.len() == 1 { + queries.push(Box::new(TermQuery::new( + Term::from_field_text(self.engine.content, &tokens[0]), + IndexRecordOption::WithFreqsAndPositions, + ))); + } else { + let terms: Vec = tokens + .iter() + .map(|token| Term::from_field_text(self.engine.content, token)) + .collect(); + queries.push(Box::new(PhraseQuery::new(terms))); + } + + let normalized = to_search_value(word); + queries.push(Box::new(TermQuery::new( + Term::from_field_text(self.engine.tags, &normalized), + IndexRecordOption::Basic, + ))); + queries.push(Box::new(TermQuery::new( + Term::from_field_text(self.engine.labels, &normalized), + IndexRecordOption::Basic, + ))); + queries.push(Box::new(TermQuery::new( + Term::from_field_text(self.engine.track, &normalized), + IndexRecordOption::Basic, + ))); + queries.push(Box::new(TermQuery::new( + Term::from_field_text(self.engine.uri, &normalized), + IndexRecordOption::Basic, + ))); + + Ok(combine_should_queries(queries)) + } + + fn build_phrase_query(&self, phrase: &str) -> Result> { + // Handle empty phrases gracefully + if phrase.is_empty() { + return Ok(Box::new(AllQuery)); + } + + let tokens = self.engine.analyse_text(phrase); + if tokens.is_empty() { + // Phrase produced no tokens after analysis - match all instead of erroring + return Ok(Box::new(AllQuery)); + } + let mut queries: Vec> = Vec::new(); + if tokens.len() == 1 { + queries.push(Box::new(TermQuery::new( + Term::from_field_text(self.engine.content, &tokens[0]), + IndexRecordOption::WithFreqsAndPositions, + ))); + } else { + let terms: Vec = tokens + .iter() + .map(|token| Term::from_field_text(self.engine.content, token)) + .collect(); + queries.push(Box::new(PhraseQuery::new(terms))); + } + + let normalized = to_search_value(phrase); + queries.push(Box::new(TermQuery::new( + Term::from_field_text(self.engine.tags, &normalized), + IndexRecordOption::Basic, + ))); + queries.push(Box::new(TermQuery::new( + Term::from_field_text(self.engine.labels, &normalized), + IndexRecordOption::Basic, + ))); + queries.push(Box::new(TermQuery::new( + Term::from_field_text(self.engine.track, &normalized), + IndexRecordOption::Basic, + ))); + queries.push(Box::new(TermQuery::new( + Term::from_field_text(self.engine.uri, &normalized), + IndexRecordOption::Basic, + ))); + + Ok(combine_should_queries(queries)) + } +} diff --git a/src/search/tantivy/schema.rs b/src/search/tantivy/schema.rs new file mode 100644 index 0000000..62042f0 --- /dev/null +++ b/src/search/tantivy/schema.rs @@ -0,0 +1,51 @@ +use tantivy::Index; +use tantivy::schema::{IndexRecordOption, NumericOptions, STRING, Schema, TEXT, TextFieldIndexing}; +use tantivy::tokenizer::{ + Language, LowerCaser, RawTokenizer, SimpleTokenizer, Stemmer, TextAnalyzer, +}; + +pub(super) fn initialise_tokenizer(index: &Index) { + let analyzer = TextAnalyzer::builder(SimpleTokenizer::default()) + .filter(LowerCaser) + .filter(Stemmer::new(Language::English)) + .build(); + index.tokenizers().register("memvid_default", analyzer); + index.tokenizers().register("raw", RawTokenizer::default()); +} + +pub(super) fn build_schema() -> Schema { + let mut schema_builder = tantivy::schema::SchemaBuilder::default(); + + let content_options = TextFieldIndexing::default() + .set_tokenizer("memvid_default") + .set_index_option(IndexRecordOption::WithFreqsAndPositions); + let content_field = TEXT.set_stored().set_indexing_options(content_options); + schema_builder.add_text_field("content", content_field); + + let keyword_indexing = TextFieldIndexing::default() + .set_tokenizer("memvid_default") + .set_index_option(IndexRecordOption::Basic); + let keyword_field = STRING + .set_stored() + .set_indexing_options(keyword_indexing.clone()); + schema_builder.add_text_field("tags", keyword_field.clone()); + schema_builder.add_text_field("labels", keyword_field.clone()); + schema_builder.add_text_field("track", keyword_field); + + let uri_indexing = TextFieldIndexing::default() + .set_tokenizer("raw") + .set_index_option(IndexRecordOption::Basic); + let uri_field = STRING.set_stored().set_indexing_options(uri_indexing); + schema_builder.add_text_field("uri", uri_field); + + let timestamp_options = NumericOptions::default() + .set_indexed() + .set_fast() + .set_stored(); + schema_builder.add_i64_field("timestamp", timestamp_options); + + let frame_id_options = NumericOptions::default().set_indexed().set_stored(); + schema_builder.add_u64_field("frame_id", frame_id_options); + + schema_builder.build() +} diff --git a/src/search/tantivy/storage.rs b/src/search/tantivy/storage.rs new file mode 100644 index 0000000..ff3920b --- /dev/null +++ b/src/search/tantivy/storage.rs @@ -0,0 +1,151 @@ +#![allow(dead_code)] + +use std::collections::BTreeMap; + +use serde::{Deserialize, Serialize}; + +use crate::types::{LexIndexManifest, LexSegmentManifest}; + +/// Placeholder embedded segment metadata for future Tantivy integration. +#[derive(Debug, Clone, Default, Serialize, Deserialize)] +pub struct EmbeddedLexSegment { + pub path: String, + pub bytes_offset: u64, + pub bytes_length: u64, + pub checksum: [u8; 32], +} + +impl EmbeddedLexSegment { + pub fn from_manifest(manifest: &LexSegmentManifest) -> Self { + Self { + path: manifest.path.clone(), + bytes_offset: manifest.bytes_offset, + bytes_length: manifest.bytes_length, + checksum: manifest.checksum, + } + } + + pub fn to_manifest(&self) -> LexSegmentManifest { + LexSegmentManifest { + path: self.path.clone(), + bytes_offset: self.bytes_offset, + bytes_length: self.bytes_length, + checksum: self.checksum, + } + } +} + +/// In-memory representation of embedded Tantivy state. +#[derive(Debug, Clone, Default, Serialize, Deserialize)] +pub struct EmbeddedLexStorage { + generation: u64, + doc_count: u64, + checksum: [u8; 32], + segments: BTreeMap, +} + +impl EmbeddedLexStorage { + pub fn new() -> Self { + Self::default() + } + + pub fn from_manifest( + manifest: Option<&LexIndexManifest>, + segments: &[LexSegmentManifest], + ) -> Self { + let mut storage = Self::new(); + if let Some(index) = manifest { + storage.generation = index.generation; + storage.doc_count = index.doc_count; + storage.checksum = index.checksum; + } + for segment in segments { + storage.segments.insert( + segment.path.clone(), + EmbeddedLexSegment::from_manifest(segment), + ); + } + storage + } + + pub fn generation(&self) -> u64 { + self.generation + } + + pub fn doc_count(&self) -> u64 { + self.doc_count + } + + pub fn checksum(&self) -> [u8; 32] { + self.checksum + } + + pub fn segments(&self) -> impl Iterator { + self.segments.values() + } + + pub fn is_empty(&self) -> bool { + self.segments.is_empty() + } + + pub fn replace( + &mut self, + doc_count: u64, + checksum: [u8; 32], + segments: Vec, + ) { + self.doc_count = doc_count; + self.checksum = checksum; + self.segments.clear(); + for segment in segments { + self.segments.insert(segment.path.clone(), segment); + } + self.generation = self.generation.wrapping_add(1); + } + + pub fn clear(&mut self) { + self.replace(0, [0u8; 32], Vec::new()); + } + + pub fn insert(&mut self, segment: EmbeddedLexSegment) { + self.segments.insert(segment.path.clone(), segment); + } + + pub fn remove(&mut self, path: &str) { + self.segments.remove(path); + } + + pub fn set_generation(&mut self, generation: u64) { + self.generation = generation; + } + + pub fn set_doc_count(&mut self, doc_count: u64) { + self.doc_count = doc_count; + } + + pub fn set_checksum(&mut self, checksum: [u8; 32]) { + self.checksum = checksum; + } + + pub fn to_manifest(&self) -> (Option, Vec) { + let index_manifest = None; + + let segments = self + .segments + .values() + .map(EmbeddedLexSegment::to_manifest) + .collect(); + (index_manifest, segments) + } + + pub fn adjust_offsets(&mut self, delta: u64) { + if delta == 0 { + return; + } + for segment in self.segments.values_mut() { + if segment.bytes_offset != 0 { + segment.bytes_offset += delta; + } + } + } +} diff --git a/src/search/tantivy/util.rs b/src/search/tantivy/util.rs new file mode 100644 index 0000000..4b35e83 --- /dev/null +++ b/src/search/tantivy/util.rs @@ -0,0 +1,20 @@ +// Safe unwrap: single-element vector pop after length == 1 check. +#![allow(clippy::unwrap_used)] +use tantivy::query::{AllQuery, BooleanQuery, Occur, Query}; + +pub(super) fn to_search_value(value: &str) -> String { + value.to_ascii_lowercase() +} + +pub(super) fn combine_should_queries(mut queries: Vec>) -> Box { + match queries.len() { + 0 => Box::new(AllQuery), + 1 => queries.pop().unwrap(), + _ => Box::new(BooleanQuery::new( + queries + .into_iter() + .map(|query| (Occur::Should, query)) + .collect(), + )), + } +} diff --git a/src/search/tantivy/wal.rs b/src/search/tantivy/wal.rs new file mode 100644 index 0000000..bc74c39 --- /dev/null +++ b/src/search/tantivy/wal.rs @@ -0,0 +1,14 @@ +#![allow(dead_code)] + +use serde::{Deserialize, Serialize}; + +use super::storage::EmbeddedLexSegment; + +/// Placeholder WAL payload describing Tantivy changes. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct LexWalBatch { + pub generation: u64, + pub doc_count: u64, + pub checksum: [u8; 32], + pub segments: Vec, +} diff --git a/src/signature.rs b/src/signature.rs new file mode 100644 index 0000000..3f63ad0 --- /dev/null +++ b/src/signature.rs @@ -0,0 +1,274 @@ +use base64::Engine; +use base64::engine::general_purpose::STANDARD as BASE64_STANDARD; +use ed25519_dalek::{Signature, VerifyingKey}; +use serde::Serialize; +use std::convert::TryInto; +use uuid::Uuid; + +use crate::error::{MemvidError, Result}; + +const SIGNING_SCHEMA_VERSION: u8 = 1; + +#[derive(Serialize)] +struct TicketSignaturePayload<'a> { + version: u8, + memory_id: &'a Uuid, + issuer: &'a str, + seq_no: i64, + expires_in: u64, + capacity_bytes: Option, +} + +#[derive(Serialize)] +struct ModelSignaturePayload<'a> { + version: u8, + name: &'a str, + model_version: &'a str, + checksum: &'a str, + size_bytes: u64, +} + +fn ticket_message_bytes( + memory_id: &Uuid, + issuer: &str, + seq_no: i64, + expires_in: u64, + capacity_bytes: Option, +) -> Result> { + let payload = TicketSignaturePayload { + version: SIGNING_SCHEMA_VERSION, + memory_id, + issuer, + seq_no, + expires_in, + capacity_bytes, + }; + serde_json::to_vec(&payload).map_err(|err| MemvidError::TicketSignatureInvalid { + reason: format!("failed to serialize ticket payload: {err}").into_boxed_str(), + }) +} + +fn model_message_bytes( + name: &str, + model_version: &str, + checksum_hex: &str, + size_bytes: u64, +) -> Result> { + let payload = ModelSignaturePayload { + version: SIGNING_SCHEMA_VERSION, + name, + model_version, + checksum: checksum_hex, + size_bytes, + }; + serde_json::to_vec(&payload).map_err(|err| MemvidError::ModelSignatureInvalid { + reason: format!("failed to serialize model payload: {err}").into_boxed_str(), + }) +} + +pub fn verify_ticket_signature( + verifying_key: &VerifyingKey, + memory_id: &Uuid, + issuer: &str, + seq_no: i64, + expires_in: u64, + capacity_bytes: Option, + signature_bytes: &[u8], +) -> Result<()> { + let message = ticket_message_bytes(memory_id, issuer, seq_no, expires_in, capacity_bytes)?; + let signature = to_signature(signature_bytes) + .map_err(|reason| MemvidError::TicketSignatureInvalid { reason })?; + verifying_key + .verify_strict(&message, &signature) + .map_err(|_| MemvidError::TicketSignatureInvalid { + reason: "ticket signature mismatch".into(), + }) +} + +pub fn verify_model_manifest( + verifying_key: &VerifyingKey, + name: &str, + model_version: &str, + checksum_hex: &str, + size_bytes: u64, + signature_bytes: &[u8], +) -> Result<()> { + let message = model_message_bytes(name, model_version, checksum_hex, size_bytes)?; + let signature = to_signature(signature_bytes) + .map_err(|reason| MemvidError::ModelSignatureInvalid { reason })?; + verifying_key + .verify_strict(&message, &signature) + .map_err(|_| MemvidError::ModelSignatureInvalid { + reason: "model signature mismatch".into(), + }) +} + +fn to_signature(bytes: &[u8]) -> std::result::Result> { + let array: [u8; 64] = bytes + .try_into() + .map_err(|_| Box::::from("signature must be exactly 64 bytes"))?; + Ok(Signature::from_bytes(&array)) +} + +pub fn parse_ed25519_public_key_base64(encoded: &str) -> Result { + let trimmed = encoded.trim(); + let bytes = + BASE64_STANDARD + .decode(trimmed) + .map_err(|err| MemvidError::TicketSignatureInvalid { + reason: format!("invalid base64 public key: {err}").into_boxed_str(), + })?; + let array: [u8; 32] = + bytes + .as_slice() + .try_into() + .map_err(|_| MemvidError::TicketSignatureInvalid { + reason: "public key must be 32 bytes".into(), + })?; + VerifyingKey::from_bytes(&array).map_err(|err| MemvidError::TicketSignatureInvalid { + reason: format!("invalid public key: {err}").into_boxed_str(), + }) +} + +#[cfg(test)] +mod tests { + use super::*; + use ed25519_dalek::{Signer, SigningKey}; + + fn test_signing_key() -> SigningKey { + let seed = [7u8; 32]; + SigningKey::from_bytes(&seed) + } + + /// Verify the JSON format matches what the dashboard produces + #[test] + fn test_payload_json_format() { + let memory_id = Uuid::parse_str("123e4567-e89b-12d3-a456-426614174000").unwrap(); + let payload = TicketSignaturePayload { + version: 1, + memory_id: &memory_id, + issuer: "memvid-dashboard", + seq_no: 2, + expires_in: 86400, + capacity_bytes: Some(10737418240), + }; + let json = serde_json::to_string(&payload).unwrap(); + // Must match dashboard format exactly for signature verification + let expected = r#"{"version":1,"memory_id":"123e4567-e89b-12d3-a456-426614174000","issuer":"memvid-dashboard","seq_no":2,"expires_in":86400,"capacity_bytes":10737418240}"#; + assert_eq!(json, expected, "JSON format must match dashboard"); + } + + #[test] + fn ticket_roundtrip() { + let signing = test_signing_key(); + let verifying = signing.verifying_key(); + let memory_id = Uuid::nil(); + let message = ticket_message_bytes(&memory_id, "issuer", 5, 60, Some(42)).unwrap(); + let signature = signing.sign(&message); + verify_ticket_signature( + &verifying, + &memory_id, + "issuer", + 5, + 60, + Some(42), + &signature.to_bytes(), + ) + .unwrap(); + } + + #[test] + fn model_roundtrip() { + let signing = test_signing_key(); + let verifying = signing.verifying_key(); + let message = model_message_bytes("model", "1.0.0", "abc123", 1024).unwrap(); + let signature = signing.sign(&message); + verify_model_manifest( + &verifying, + "model", + "1.0.0", + "abc123", + 1024, + &signature.to_bytes(), + ) + .unwrap(); + } + + #[test] + fn parse_public_key() { + let signing = test_signing_key(); + let verifying = signing.verifying_key(); + let encoded = BASE64_STANDARD.encode(verifying.as_bytes()); + let parsed = parse_ed25519_public_key_base64(&encoded).unwrap(); + assert_eq!(parsed.as_bytes(), verifying.as_bytes()); + } + + /// End-to-end test verifying the signature flow works correctly. + /// Uses a test keypair (NOT production keys). + #[test] + fn test_signature_flow_e2e() { + // Test keypair - NOT production keys + let signing_key = test_signing_key(); + let verifying_key = signing_key.verifying_key(); + + // Create and sign a ticket payload (mimicking dashboard) + let memory_id = Uuid::parse_str("123e4567-e89b-12d3-a456-426614174000").unwrap(); + let message = + ticket_message_bytes(&memory_id, "memvid-dashboard", 2, 86400, Some(10737418240)) + .unwrap(); + let signature = signing_key.sign(&message); + + // Verify signature (mimicking CLI/core) + verify_ticket_signature( + &verifying_key, + &memory_id, + "memvid-dashboard", + 2, + 86400, + Some(10737418240), + &signature.to_bytes(), + ) + .expect("signature verification should pass"); + } + + /// Verify the embedded public key constant is valid and parseable + #[test] + fn test_embedded_pubkey_valid() { + use crate::constants::MEMVID_TICKET_PUBKEY; + let key = parse_ed25519_public_key_base64(MEMVID_TICKET_PUBKEY); + assert!(key.is_ok(), "Embedded MEMVID_TICKET_PUBKEY must be valid"); + } + + /// Test verification with actual dashboard-signed data + #[test] + fn test_dashboard_signature_verification() { + use crate::constants::MEMVID_TICKET_PUBKEY; + + // Parse embedded public key + let verifying_key = parse_ed25519_public_key_base64(MEMVID_TICKET_PUBKEY).unwrap(); + + // Exact payload from dashboard (must match byte-for-byte) + let memory_id = Uuid::parse_str("69601cef-bea5-7ba3-fec3-9b5c00000000").unwrap(); + let message = + ticket_message_bytes(&memory_id, "memvid-dashboard", 9, 86400, Some(10737418240)) + .unwrap(); + + println!("Rust payload: {}", String::from_utf8_lossy(&message)); + + // Signature from dashboard (seq_no=9) + let sig_base64 = "OUVSB4rKCSPDlP+rrZN1AlkI6k2zDdNaZb5HKPZDTjqhnCHBYKXg4lyEE4aevDN7rLpdFjINiCCaBEBaH35vDw=="; + let sig_bytes = BASE64_STANDARD.decode(sig_base64).unwrap(); + + // Verify + verify_ticket_signature( + &verifying_key, + &memory_id, + "memvid-dashboard", + 9, + 86400, + Some(10737418240), + &sig_bytes, + ) + .expect("Dashboard signature should verify"); + } +} diff --git a/src/simd.rs b/src/simd.rs new file mode 100644 index 0000000..5accc5a --- /dev/null +++ b/src/simd.rs @@ -0,0 +1,139 @@ +//! SIMD-accelerated distance calculations for vector search. +//! +//! This module provides optimized L2 (Euclidean) distance functions using +//! the `wide` crate for portable SIMD across `x86_64` and aarch64. + +#[cfg(feature = "simd")] +use wide::f32x8; + +/// Compute squared L2 distance between two f32 slices using SIMD. +/// +/// Uses 8-wide SIMD lanes (AVX2 on `x86_64`, NEON on aarch64). +/// Falls back to scalar for remainder elements. +#[cfg(feature = "simd")] +#[must_use] +pub fn l2_distance_squared_simd(a: &[f32], b: &[f32]) -> f32 { + debug_assert_eq!(a.len(), b.len(), "vectors must have same length"); + + let len = a.len(); + let chunks = len / 8; + let remainder = len % 8; + + let mut sum = f32x8::ZERO; + + // Process 8 elements at a time + for i in 0..chunks { + let offset = i * 8; + let a_chunk = f32x8::new([ + a[offset], + a[offset + 1], + a[offset + 2], + a[offset + 3], + a[offset + 4], + a[offset + 5], + a[offset + 6], + a[offset + 7], + ]); + let b_chunk = f32x8::new([ + b[offset], + b[offset + 1], + b[offset + 2], + b[offset + 3], + b[offset + 4], + b[offset + 5], + b[offset + 6], + b[offset + 7], + ]); + let diff = a_chunk - b_chunk; + sum += diff * diff; + } + + // Horizontal sum of the SIMD vector + let sum_array: [f32; 8] = sum.into(); + let mut total: f32 = sum_array.iter().sum(); + + // Handle remainder elements with scalar code + let offset = chunks * 8; + for i in 0..remainder { + let diff = a[offset + i] - b[offset + i]; + total += diff * diff; + } + + total +} + +/// Compute L2 distance (with sqrt) using SIMD. +#[cfg(feature = "simd")] +#[must_use] +pub fn l2_distance_simd(a: &[f32], b: &[f32]) -> f32 { + l2_distance_squared_simd(a, b).sqrt() +} + +// Scalar fallbacks when SIMD feature is disabled + +/// Compute squared L2 distance using scalar math. +#[cfg(not(feature = "simd"))] +pub fn l2_distance_squared_simd(a: &[f32], b: &[f32]) -> f32 { + a.iter() + .zip(b.iter()) + .map(|(x, y)| { + let diff = x - y; + diff * diff + }) + .sum() +} + +/// Compute L2 distance using scalar math. +#[cfg(not(feature = "simd"))] +pub fn l2_distance_simd(a: &[f32], b: &[f32]) -> f32 { + l2_distance_squared_simd(a, b).sqrt() +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_l2_distance_squared_basic() { + let a = [0.0, 0.0, 0.0]; + let b = [3.0, 4.0, 0.0]; + let dist_sq = l2_distance_squared_simd(&a, &b); + assert!( + (dist_sq - 25.0).abs() < 1e-6, + "expected 25.0, got {}", + dist_sq + ); + } + + #[test] + fn test_l2_distance_basic() { + let a = [0.0, 0.0]; + let b = [3.0, 4.0]; + let dist = l2_distance_simd(&a, &b); + assert!((dist - 5.0).abs() < 1e-6, "expected 5.0, got {}", dist); + } + + #[test] + fn test_l2_distance_384_dims() { + // Test with realistic 384-dim vectors + let a: Vec = (0..384).map(|i| i as f32 * 0.01).collect(); + let b: Vec = (0..384).map(|i| (i + 1) as f32 * 0.01).collect(); + + let dist_simd = l2_distance_simd(&a, &b); + + // Compare with scalar implementation + let dist_scalar: f32 = a + .iter() + .zip(b.iter()) + .map(|(x, y)| (x - y).powi(2)) + .sum::() + .sqrt(); + + assert!( + (dist_simd - dist_scalar).abs() < 1e-4, + "SIMD {} vs Scalar {}", + dist_simd, + dist_scalar + ); + } +} diff --git a/src/structure/chunker.rs b/src/structure/chunker.rs new file mode 100644 index 0000000..9643596 --- /dev/null +++ b/src/structure/chunker.rs @@ -0,0 +1,846 @@ +//! Structural chunker that respects document boundaries. +//! +//! The chunker takes a `StructuredDocument` and produces `StructuredChunk`s +//! that preserve semantic units. Tables are split between rows with header +//! propagation, code blocks are kept whole or split at boundaries, and +//! sections include their heading context. + +use crate::types::structure::{ + ChunkType, ChunkingOptions, ChunkingResult, CodeChunkingStrategy, ElementData, StructuredChunk, + StructuredDocument, StructuredTable, TableChunkingStrategy, +}; + +/// Structural chunker that respects document boundaries. +/// +/// # Example +/// +/// ```ignore +/// use memvid_core::structure::{StructuralChunker, ChunkingOptions, detect_structure}; +/// +/// let text = "| A | B |\n|---|---|\n| 1 | 2 |\n| 3 | 4 |"; +/// let doc = detect_structure(text); +/// +/// let chunker = StructuralChunker::new(ChunkingOptions::default()); +/// let result = chunker.chunk(&doc); +/// +/// // Each chunk preserves table structure +/// for chunk in result.chunks { +/// println!("{}", chunk.text); +/// } +/// ``` +pub struct StructuralChunker { + options: ChunkingOptions, +} + +impl Default for StructuralChunker { + fn default() -> Self { + Self::new(ChunkingOptions::default()) + } +} + +impl StructuralChunker { + /// Create a new chunker with the given options. + #[must_use] + pub fn new(options: ChunkingOptions) -> Self { + Self { options } + } + + /// Create a chunker with default options and custom max chars. + #[must_use] + pub fn with_max_chars(max_chars: usize) -> Self { + Self { + options: ChunkingOptions { + max_chars, + ..Default::default() + }, + } + } + + /// Chunk a structured document. + #[must_use] + pub fn chunk(&self, doc: &StructuredDocument) -> ChunkingResult { + let mut result = ChunkingResult::empty(); + let mut current_text = String::new(); + let mut current_start = 0; + let mut pending_heading: Option<&str> = None; + + for element in &doc.elements { + match &element.data { + ElementData::Table(table) => { + // Flush any pending text before table + if !current_text.trim().is_empty() { + self.emit_text_chunk( + &mut result, + ¤t_text, + current_start, + element.char_start, + ); + current_text.clear(); + } + + // Chunk the table + self.chunk_table(&mut result, table, element.char_start, element.char_end); + current_start = element.char_end; + } + + ElementData::CodeBlock(block) => { + // Flush pending text + if !current_text.trim().is_empty() { + self.emit_text_chunk( + &mut result, + ¤t_text, + current_start, + element.char_start, + ); + current_text.clear(); + } + + // Chunk the code block + self.chunk_code_block( + &mut result, + &block.format(), + block.language.as_deref(), + element.char_start, + element.char_end, + ); + current_start = element.char_end; + } + + ElementData::Heading(heading) => { + if self.options.include_section_headers { + // Keep heading with following content + pending_heading = Some(heading.format().leak()); + } + + // Add heading to current text + if !current_text.is_empty() { + current_text.push('\n'); + } + current_text.push_str(&heading.format()); + } + + ElementData::List(list) => { + if self.options.preserve_lists { + let list_text = list.format(); + let combined_len = current_text.chars().count() + list_text.chars().count(); + + if combined_len > self.options.max_chars && !current_text.trim().is_empty() + { + // Flush current text before list + self.emit_text_chunk( + &mut result, + ¤t_text, + current_start, + element.char_start, + ); + current_text.clear(); + current_start = element.char_start; + } + + // Add list to current text + if !current_text.is_empty() { + current_text.push_str("\n\n"); + } + current_text.push_str(&list_text); + } else { + // Treat list as regular text + let text = element.text(); + if !current_text.is_empty() { + current_text.push_str("\n\n"); + } + current_text.push_str(&text); + } + } + + ElementData::Paragraph { text } => { + let text_len = text.chars().count(); + let current_len = current_text.chars().count(); + + if current_len + text_len > self.options.max_chars + && !current_text.trim().is_empty() + { + // Flush current chunk + self.emit_text_chunk( + &mut result, + ¤t_text, + current_start, + element.char_start, + ); + current_text.clear(); + current_start = element.char_start; + + // Add pending heading context if any + if let Some(heading) = pending_heading.take() { + current_text.push_str(heading); + current_text.push_str("\n\n"); + } + } + + if !current_text.is_empty() && !current_text.ends_with('\n') { + current_text.push_str("\n\n"); + } + current_text.push_str(text); + } + + ElementData::BlockQuote { text } => { + if !current_text.is_empty() { + current_text.push_str("\n\n"); + } + current_text.push_str("> "); + current_text.push_str(text); + } + + ElementData::Separator => { + // Treat separator as a natural chunk break + if !current_text.trim().is_empty() { + self.emit_text_chunk( + &mut result, + ¤t_text, + current_start, + element.char_start, + ); + current_text.clear(); + } + current_start = element.char_end; + pending_heading = None; + } + + ElementData::Raw { text } => { + if !current_text.is_empty() { + current_text.push_str("\n\n"); + } + current_text.push_str(text); + } + } + } + + // Flush remaining text + if !current_text.trim().is_empty() { + self.emit_text_chunk(&mut result, ¤t_text, current_start, doc.total_chars); + } + + result + } + + /// Emit a text chunk. + fn emit_text_chunk( + &self, + result: &mut ChunkingResult, + text: &str, + char_start: usize, + char_end: usize, + ) { + let index = result.chunks.len(); + result.chunks.push(StructuredChunk::text( + text.trim(), + index, + char_start, + char_end, + )); + } + + /// Chunk a table with header propagation. + fn chunk_table( + &self, + result: &mut ChunkingResult, + table: &StructuredTable, + char_start: usize, + char_end: usize, + ) { + result.tables_processed += 1; + + match self.options.table_handling { + TableChunkingStrategy::PreserveWhole => { + // Keep entire table as one chunk (may exceed max_chars) + let index = result.chunks.len(); + result.chunks.push(StructuredChunk::table( + &table.raw_text, + index, + &table.id, + char_start, + char_end, + )); + } + + TableChunkingStrategy::SplitWithHeader => { + // Split table between rows, prepend header to each chunk + let header_text = table.format_header(); + let header_chars = header_text.chars().count(); + + // If entire table fits, emit as single chunk + if table.char_count() <= self.options.max_chars { + let index = result.chunks.len(); + result.chunks.push(StructuredChunk::table( + &table.raw_text, + index, + &table.id, + char_start, + char_end, + )); + return; + } + + // Split by rows + result.tables_split += 1; + let data_rows: Vec<_> = table.data_rows().collect(); + + if data_rows.is_empty() { + // Only header, emit as-is + let index = result.chunks.len(); + result.chunks.push(StructuredChunk::table( + &header_text, + index, + &table.id, + char_start, + char_end, + )); + return; + } + + let max_rows_per_chunk = self.calculate_rows_per_chunk(table, header_chars); + let total_parts = data_rows.len().div_ceil(max_rows_per_chunk); + + let mut part = 1; + let mut row_idx = 0; + + while row_idx < data_rows.len() { + let end_idx = (row_idx + max_rows_per_chunk).min(data_rows.len()); + let rows_in_chunk = &data_rows[row_idx..end_idx]; + + // Build chunk text: header + rows + let mut chunk_text = header_text.clone(); + for row in rows_in_chunk { + chunk_text.push('\n'); + chunk_text.push_str(&table.format_row(row)); + } + + let index = result.chunks.len(); + if part == 1 { + // First part is a Table chunk + result.chunks.push(StructuredChunk::table( + &chunk_text, + index, + &table.id, + char_start, + char_end, + )); + } else { + // Subsequent parts are TableContinuation chunks + result.chunks.push(StructuredChunk::table_continuation( + &chunk_text, + index, + &table.id, + part as u32, + u32::try_from(total_parts).unwrap_or(0), + &header_text, + char_start, + char_end, + )); + } + + row_idx = end_idx; + part += 1; + } + } + + TableChunkingStrategy::Naive => { + // Just treat table as text (not recommended) + let index = result.chunks.len(); + result.chunks.push(StructuredChunk::text( + &table.raw_text, + index, + char_start, + char_end, + )); + } + } + } + + /// Calculate how many rows fit per chunk given header overhead. + fn calculate_rows_per_chunk(&self, table: &StructuredTable, header_chars: usize) -> usize { + let available = self.options.max_chars.saturating_sub(header_chars + 10); + if available == 0 { + return 1; + } + + // Estimate average row size + let total_row_chars: usize = table + .data_rows() + .map(|row| { + row.cells + .iter() + .map(|c| c.text.chars().count()) + .sum::() + + row.cells.len() * 3 // | separators + }) + .sum(); + + let row_count = table.data_row_count(); + if row_count == 0 { + return 1; + } + + let avg_row_chars = total_row_chars / row_count; + if avg_row_chars == 0 { + return row_count; + } + + (available / avg_row_chars).max(1) + } + + /// Chunk a code block. + fn chunk_code_block( + &self, + result: &mut ChunkingResult, + formatted_text: &str, + language: Option<&str>, + char_start: usize, + char_end: usize, + ) { + result.code_blocks_processed += 1; + + match self.options.code_handling { + CodeChunkingStrategy::PreserveWhole => { + // Keep entire code block as one chunk + let index = result.chunks.len(); + result.chunks.push(StructuredChunk { + text: formatted_text.to_string(), + chunk_type: ChunkType::CodeBlock, + index, + element_id: None, + part: None, + total_parts: None, + context: language.map(std::string::ToString::to_string), + char_start, + char_end, + }); + } + + CodeChunkingStrategy::SplitAtBoundaries => { + // Try to split at function/block boundaries + let block_chars = formatted_text.chars().count(); + if block_chars <= self.options.max_chars { + // Fits in one chunk + let index = result.chunks.len(); + result.chunks.push(StructuredChunk { + text: formatted_text.to_string(), + chunk_type: ChunkType::CodeBlock, + index, + element_id: None, + part: None, + total_parts: None, + context: language.map(std::string::ToString::to_string), + char_start, + char_end, + }); + } else { + // Split at function boundaries or fall back to line boundaries + self.split_code_at_boundaries( + result, + formatted_text, + language, + char_start, + char_end, + ); + } + } + + CodeChunkingStrategy::SplitWithOverlap => { + // Split with overlap for context + self.split_code_with_overlap( + result, + formatted_text, + language, + char_start, + char_end, + ); + } + } + } + + /// Split code at function/block boundaries. + fn split_code_at_boundaries( + &self, + result: &mut ChunkingResult, + formatted_text: &str, + language: Option<&str>, + char_start: usize, + char_end: usize, + ) { + // Simple heuristic: split at empty lines that likely indicate function boundaries + let lines: Vec<&str> = formatted_text.lines().collect(); + let mut chunks = Vec::new(); + let mut current_chunk = Vec::new(); + let mut current_chars = 0; + + // Find fence markers to preserve + let fence_start = lines.first().copied().unwrap_or("```"); + let fence_end = lines.last().copied().unwrap_or("```"); + let content_lines = &lines[1..lines.len().saturating_sub(1)]; + + for (i, line) in content_lines.iter().enumerate() { + let line_chars = line.chars().count() + 1; + + // Check for good split point (empty line or function start) + let is_boundary = line.trim().is_empty() + || line.trim().starts_with("fn ") + || line.trim().starts_with("def ") + || line.trim().starts_with("function ") + || line.trim().starts_with("class ") + || line.trim().starts_with("impl "); + + if is_boundary && current_chars > self.options.max_chars / 2 && i > 0 { + // Emit current chunk + if !current_chunk.is_empty() { + chunks.push(current_chunk.join("\n")); + current_chunk.clear(); + current_chars = 0; + } + } + + current_chunk.push(*line); + current_chars += line_chars; + } + + // Emit remaining + if !current_chunk.is_empty() { + chunks.push(current_chunk.join("\n")); + } + + // Emit as continuation chunks + let total_parts = chunks.len(); + for (i, chunk_content) in chunks.into_iter().enumerate() { + let index = result.chunks.len(); + let chunk_text = format!( + "{}{}\n{}\n{}", + fence_start, + language.unwrap_or(""), + chunk_content, + fence_end + ); + + if i == 0 { + result.chunks.push(StructuredChunk { + text: chunk_text, + chunk_type: ChunkType::CodeBlock, + index, + element_id: None, + part: Some(1), + total_parts: Some(u32::try_from(total_parts).unwrap_or(0)), + context: language.map(std::string::ToString::to_string), + char_start, + char_end, + }); + } else { + result.chunks.push(StructuredChunk { + text: chunk_text, + chunk_type: ChunkType::CodeBlockContinuation, + index, + element_id: None, + part: Some(u32::try_from(i + 1).unwrap_or(0)), + total_parts: Some(u32::try_from(total_parts).unwrap_or(0)), + context: language.map(std::string::ToString::to_string), + char_start, + char_end, + }); + } + } + } + + /// Split code with overlap for context. + fn split_code_with_overlap( + &self, + result: &mut ChunkingResult, + formatted_text: &str, + language: Option<&str>, + char_start: usize, + char_end: usize, + ) { + let lines: Vec<&str> = formatted_text.lines().collect(); + let overlap_lines = (self.options.overlap_chars / 40).max(2); + + // Find fence markers + let fence_start = lines.first().copied().unwrap_or("```"); + let fence_end = lines.last().copied().unwrap_or("```"); + let content_lines = &lines[1..lines.len().saturating_sub(1)]; + + let mut chunks = Vec::new(); + let mut start_line = 0; + + while start_line < content_lines.len() { + let mut current_chars = 0; + let mut end_line = start_line; + + while end_line < content_lines.len() { + current_chars += content_lines[end_line].chars().count() + 1; + if current_chars > self.options.max_chars { + break; + } + end_line += 1; + } + + if end_line == start_line { + end_line = start_line + 1; + } + + let chunk_lines: Vec<&str> = content_lines[start_line..end_line].to_vec(); + chunks.push(chunk_lines.join("\n")); + + // Move forward with overlap + start_line = if end_line >= content_lines.len() { + content_lines.len() + } else { + end_line.saturating_sub(overlap_lines) + }; + } + + // Emit chunks + let total_parts = chunks.len(); + for (i, chunk_content) in chunks.into_iter().enumerate() { + let index = result.chunks.len(); + let chunk_text = format!( + "{}{}\n{}\n{}", + fence_start, + language.unwrap_or(""), + chunk_content, + fence_end + ); + + let chunk_type = if i == 0 { + ChunkType::CodeBlock + } else { + ChunkType::CodeBlockContinuation + }; + + result.chunks.push(StructuredChunk { + text: chunk_text, + chunk_type, + index, + element_id: None, + part: Some(u32::try_from(i + 1).unwrap_or(0)), + total_parts: Some(u32::try_from(total_parts).unwrap_or(0)), + context: language.map(std::string::ToString::to_string), + char_start, + char_end, + }); + } + } +} + +/// Convenience function to chunk text with default options. +#[must_use] +pub fn chunk_structured(doc: &StructuredDocument) -> ChunkingResult { + StructuralChunker::default().chunk(doc) +} + +/// Convenience function to chunk text with custom max chars. +#[must_use] +pub fn chunk_structured_with_max(doc: &StructuredDocument, max_chars: usize) -> ChunkingResult { + StructuralChunker::with_max_chars(max_chars).chunk(doc) +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::structure::detect_structure; + + #[test] + fn test_simple_text_chunking() { + let text = "This is a simple paragraph.\n\nAnother paragraph here."; + let doc = detect_structure(text); + let result = chunk_structured(&doc); + + assert!(!result.chunks.is_empty()); + assert_eq!(result.tables_processed, 0); + } + + #[test] + fn test_table_preserved_when_small() { + let text = r"Introduction. + +| Name | Age | +|------|-----| +| Alice | 30 | +| Bob | 25 | + +Conclusion."; + + let doc = detect_structure(text); + let result = chunk_structured(&doc); + + // Table should be in one chunk + let table_chunks: Vec<_> = result.chunks.iter().filter(|c| c.is_table()).collect(); + + assert_eq!(table_chunks.len(), 1); + assert_eq!(result.tables_processed, 1); + assert_eq!(result.tables_split, 0); + } + + #[test] + fn test_large_table_split_with_header() { + // Create a table that exceeds max_chars + let mut rows = String::new(); + for i in 1..=50 { + rows.push_str(&format!( + "| Row {} with some data | More data here | Even more |\n", + i + )); + } + + let text = format!( + r"Introduction. + +| Column A | Column B | Column C | +|----------|----------|----------| +{} +Conclusion.", + rows + ); + + let doc = detect_structure(&text); + let chunker = StructuralChunker::with_max_chars(500); + let result = chunker.chunk(&doc); + + // Table should be split + let table_chunks: Vec<_> = result.chunks.iter().filter(|c| c.is_table()).collect(); + + assert!(table_chunks.len() > 1, "Large table should be split"); + assert_eq!(result.tables_split, 1); + + // Each chunk should contain header + for chunk in &table_chunks { + assert!( + chunk.text.contains("| Column A |"), + "Each table chunk should contain header" + ); + } + + // Continuation chunks should have context + for chunk in table_chunks.iter().skip(1) { + assert_eq!(chunk.chunk_type, ChunkType::TableContinuation); + assert!(chunk.context.is_some()); + } + } + + #[test] + fn test_code_block_preserved() { + let text = r#"Here is code: + +```rust +fn main() { + println!("Hello!"); +} +``` + +Done."#; + + let doc = detect_structure(text); + let result = chunk_structured(&doc); + + let code_chunks: Vec<_> = result + .chunks + .iter() + .filter(|c| matches!(c.chunk_type, ChunkType::CodeBlock)) + .collect(); + + assert_eq!(code_chunks.len(), 1); + assert!(code_chunks[0].text.contains("fn main()")); + } + + #[test] + fn test_mixed_content() { + let text = r#"# Report + +## Summary + +This is the summary section. + +| Item | Count | +|------|-------| +| A | 10 | +| B | 20 | + +## Code + +```python +def hello(): + print("Hello") +``` + +## Conclusion + +All done."#; + + let doc = detect_structure(text); + let result = chunk_structured(&doc); + + assert!(result.tables_processed >= 1); + assert!(result.code_blocks_processed >= 1); + assert!(result.chunks.len() >= 3); + } + + #[test] + fn test_table_header_formatting() { + let text = r"| Col1 | Col2 | Col3 | +|------|------|------| +| A1 | A2 | A3 | +| B1 | B2 | B3 |"; + + let doc = detect_structure(text); + let table = doc.tables().next().unwrap(); + + let header = table.format_header(); + assert!(header.contains("| Col1 | Col2 | Col3 |")); + assert!(header.contains("|---|---|---|")); + } + + #[test] + fn test_preserve_whole_strategy() { + let mut rows = String::new(); + for i in 1..=20 { + rows.push_str(&format!("| Data {} | Value |\n", i)); + } + + let text = format!( + r"| Header1 | Header2 | +|---------|---------| +{}", + rows + ); + + let doc = detect_structure(&text); + let chunker = StructuralChunker::new(ChunkingOptions { + max_chars: 500, + table_handling: TableChunkingStrategy::PreserveWhole, + ..Default::default() + }); + let result = chunker.chunk(&doc); + + // Table should NOT be split with PreserveWhole + let table_chunks: Vec<_> = result.chunks.iter().filter(|c| c.is_table()).collect(); + + assert_eq!(table_chunks.len(), 1); + assert_eq!(result.tables_split, 0); + } + + #[test] + fn test_chunking_result_stats() { + let text = r"| A | B | +|---|---| +| 1 | 2 | + +```python +x = 1 +``` + +| C | D | +|---|---| +| 3 | 4 |"; + + let doc = detect_structure(text); + let result = chunk_structured(&doc); + + assert_eq!(result.tables_processed, 2); + assert_eq!(result.code_blocks_processed, 1); + } +} diff --git a/src/structure/detector.rs b/src/structure/detector.rs new file mode 100644 index 0000000..c4cc7e9 --- /dev/null +++ b/src/structure/detector.rs @@ -0,0 +1,788 @@ +// Safe unwrap/expect usage: regex patterns are compile-time constants. +#![allow(clippy::unwrap_used, clippy::expect_used)] +//! Structure detection for markdown and text documents. +//! +//! This module detects structural elements in text, including: +//! - Markdown tables (pipe-delimited) +//! - Fenced code blocks (```) +//! - Lists (ordered and unordered) +//! - Headings (#) +//! +//! The detector produces a `StructuredDocument` that can be chunked +//! intelligently by the structural chunker. + +use crate::types::structure::{ + DocumentElement, ElementData, ElementType, StructuredCell, StructuredCodeBlock, + StructuredDocument, StructuredHeading, StructuredList, StructuredRow, StructuredTable, +}; +use regex::Regex; +use std::sync::OnceLock; + +/// Compiled regex patterns for structure detection. +#[allow(dead_code)] +struct Patterns { + /// Markdown table row: | cell | cell | + table_row: Regex, + /// Table separator: |---|---| + table_separator: Regex, + /// Fenced code block start: ```language + code_fence_start: Regex, + /// Fenced code block end: ``` + code_fence_end: Regex, + /// Unordered list item: - item or * item + unordered_list: Regex, + /// Ordered list item: 1. item + ordered_list: Regex, + /// Heading: # Title + heading: Regex, + /// Block quote: > text + block_quote: Regex, + /// Horizontal rule: --- or *** + horizontal_rule: Regex, +} + +impl Patterns { + fn get() -> &'static Self { + static PATTERNS: OnceLock = OnceLock::new(); + PATTERNS.get_or_init(|| Patterns { + table_row: Regex::new(r"^\s*\|(.+)\|\s*$").unwrap(), + table_separator: Regex::new(r"^\s*\|[\s:]*-+[\s:\-|]+\|\s*$").unwrap(), + code_fence_start: Regex::new(r"^```(\w*)").unwrap(), + code_fence_end: Regex::new(r"^```\s*$").unwrap(), + unordered_list: Regex::new(r"^(\s*)[-*+]\s+(.+)$").unwrap(), + ordered_list: Regex::new(r"^(\s*)(\d+)\.\s+(.+)$").unwrap(), + heading: Regex::new(r"^(#{1,6})\s+(.+)$").unwrap(), + block_quote: Regex::new(r"^>\s*(.*)$").unwrap(), + horizontal_rule: Regex::new(r"^[-*_]{3,}\s*$").unwrap(), + }) + } +} + +/// Detect structure in text and produce a `StructuredDocument`. +#[must_use] +pub fn detect_structure(text: &str) -> StructuredDocument { + let mut doc = StructuredDocument::from_text(text); + let patterns = Patterns::get(); + + let lines: Vec<&str> = text.lines().collect(); + let mut i = 0; + let mut char_offset = 0; + let mut table_counter = 0; + + while i < lines.len() { + let line = lines[i]; + let line_start = char_offset; + let line_len = line.len(); + + // Try to detect each structure type + if let Some((element, consumed, _end_offset)) = + try_detect_table(&lines, i, line_start, patterns, &mut table_counter) + { + doc.add_element(element); + // Skip consumed lines + for j in i..i + consumed { + char_offset += lines[j].len() + 1; // +1 for newline + } + i += consumed; + continue; + } + + if let Some((element, consumed, _end_offset)) = + try_detect_code_block(&lines, i, line_start, patterns) + { + doc.add_element(element); + for j in i..i + consumed { + char_offset += lines[j].len() + 1; + } + i += consumed; + continue; + } + + if let Some((element, consumed)) = try_detect_list(&lines, i, line_start, patterns) { + doc.add_element(element); + for j in i..i + consumed { + char_offset += lines[j].len() + 1; + } + i += consumed; + continue; + } + + if let Some(element) = try_detect_heading(line, line_start, patterns) { + doc.add_element(element); + char_offset += line_len + 1; + i += 1; + continue; + } + + if patterns.horizontal_rule.is_match(line) { + doc.add_element(DocumentElement { + element_type: ElementType::Separator, + char_start: line_start, + char_end: line_start + line_len, + data: ElementData::Separator, + }); + char_offset += line_len + 1; + i += 1; + continue; + } + + // Collect consecutive non-structural lines as paragraph + let para_start = i; + let para_char_start = line_start; + while i < lines.len() { + let l = lines[i]; + if l.trim().is_empty() + || patterns.table_row.is_match(l) + || patterns.code_fence_start.is_match(l) + || patterns.unordered_list.is_match(l) + || patterns.ordered_list.is_match(l) + || patterns.heading.is_match(l) + || patterns.horizontal_rule.is_match(l) + { + break; + } + char_offset += lines[i].len() + 1; + i += 1; + } + + if i > para_start { + let para_text: String = lines[para_start..i].join("\n"); + if !para_text.trim().is_empty() { + doc.add_element(DocumentElement::paragraph( + para_text, + para_char_start, + char_offset.saturating_sub(1), + )); + } + } else { + // Empty line or unmatched, skip + char_offset += line_len + 1; + i += 1; + } + } + + doc.update_counts(); + doc +} + +/// Try to detect a markdown table starting at line index. +fn try_detect_table( + lines: &[&str], + start: usize, + char_start: usize, + patterns: &Patterns, + table_counter: &mut usize, +) -> Option<(DocumentElement, usize, usize)> { + // Need at least 2 lines for a table (header + separator) + if start + 1 >= lines.len() { + return None; + } + + let first_line = lines[start]; + if !patterns.table_row.is_match(first_line) { + return None; + } + + // Check if second line is separator + let second_line = lines[start + 1]; + if !patterns.table_separator.is_match(second_line) { + return None; + } + + // We have a table! Parse it + *table_counter += 1; + let table_id = format!("tbl_{:04}", *table_counter); + + let mut table = StructuredTable::new(&table_id); + let mut raw_lines: Vec<&str> = vec![first_line, second_line]; + let mut consumed = 2; + + // Parse header row + let header_cells = parse_table_row(first_line); + table.headers = header_cells.clone(); + table.n_cols = header_cells.len(); + + // Add header as first row + let header_row = StructuredRow::new( + 0, + header_cells + .iter() + .enumerate() + .map(|(i, text)| StructuredCell::new(text.clone(), i)) + .collect(), + ) + .as_header(); + table.rows.push(header_row); + + // Parse data rows + let mut row_index = 1; + for i in (start + 2)..lines.len() { + let line = lines[i]; + if !patterns.table_row.is_match(line) { + break; + } + raw_lines.push(line); + consumed += 1; + + let cells = parse_table_row(line); + let row = StructuredRow::new( + row_index, + cells + .iter() + .enumerate() + .map(|(i, text)| StructuredCell::new(text.clone(), i)) + .collect(), + ); + table.rows.push(row); + row_index += 1; + } + + table.raw_text = raw_lines.join("\n"); + let char_end = char_start + table.raw_text.len(); + + Some(( + DocumentElement::table(table, char_start, char_end), + consumed, + char_end, + )) +} + +/// Parse a table row into cells. +fn parse_table_row(line: &str) -> Vec { + let trimmed = line.trim(); + let inner = if trimmed.starts_with('|') && trimmed.ends_with('|') { + &trimmed[1..trimmed.len() - 1] + } else { + trimmed + }; + + inner + .split('|') + .map(|cell| cell.trim().to_string()) + .collect() +} + +/// Try to detect a fenced code block. +fn try_detect_code_block( + lines: &[&str], + start: usize, + char_start: usize, + patterns: &Patterns, +) -> Option<(DocumentElement, usize, usize)> { + let first_line = lines[start]; + let caps = patterns.code_fence_start.captures(first_line)?; + + let language = caps + .get(1) + .map(|m| m.as_str().to_string()) + .filter(|s| !s.is_empty()); + + // Find closing fence + let mut end_idx = start + 1; + while end_idx < lines.len() { + if patterns.code_fence_end.is_match(lines[end_idx]) { + break; + } + end_idx += 1; + } + + if end_idx >= lines.len() { + // No closing fence found, treat as paragraph + return None; + } + + let consumed = end_idx - start + 1; + let content_lines: Vec<&str> = lines[start + 1..end_idx].to_vec(); + let content = content_lines.join("\n"); + + let raw_text = lines[start..=end_idx].join("\n"); + let char_end = char_start + raw_text.len(); + + let mut block = StructuredCodeBlock::new(content); + if let Some(lang) = language { + block = block.with_language(lang); + } + + Some(( + DocumentElement::code_block(block, char_start, char_end), + consumed, + char_end, + )) +} + +/// Try to detect a list (ordered or unordered). +fn try_detect_list( + lines: &[&str], + start: usize, + char_start: usize, + patterns: &Patterns, +) -> Option<(DocumentElement, usize)> { + let first_line = lines[start]; + + // Check for unordered list + if let Some(caps) = patterns.unordered_list.captures(first_line) { + let indent = caps.get(1).map_or(0, |m| m.as_str().len()); + let mut items: Vec = vec![caps.get(2)?.as_str().to_string()]; + let mut consumed = 1; + + // Collect consecutive list items at same indentation + for i in (start + 1)..lines.len() { + if let Some(item_caps) = patterns.unordered_list.captures(lines[i]) { + let item_indent = item_caps.get(1).map_or(0, |m| m.as_str().len()); + if item_indent == indent { + items.push(item_caps.get(2).unwrap().as_str().to_string()); + consumed += 1; + } else { + break; + } + } else { + break; + } + } + + let raw_text = lines[start..start + consumed].join("\n"); + let char_end = char_start + raw_text.len(); + + return Some(( + DocumentElement::list(StructuredList::unordered(items), char_start, char_end), + consumed, + )); + } + + // Check for ordered list + if let Some(caps) = patterns.ordered_list.captures(first_line) { + let indent = caps.get(1).map_or(0, |m| m.as_str().len()); + let start_num: usize = caps.get(2)?.as_str().parse().unwrap_or(1); + let mut items: Vec = vec![caps.get(3)?.as_str().to_string()]; + let mut consumed = 1; + + // Collect consecutive list items at same indentation + for i in (start + 1)..lines.len() { + if let Some(item_caps) = patterns.ordered_list.captures(lines[i]) { + let item_indent = item_caps.get(1).map_or(0, |m| m.as_str().len()); + if item_indent == indent { + items.push(item_caps.get(3).unwrap().as_str().to_string()); + consumed += 1; + } else { + break; + } + } else { + break; + } + } + + let raw_text = lines[start..start + consumed].join("\n"); + let char_end = char_start + raw_text.len(); + + let mut list = StructuredList::ordered(items); + list.start = start_num; + + return Some((DocumentElement::list(list, char_start, char_end), consumed)); + } + + None +} + +/// Try to detect a heading. +fn try_detect_heading( + line: &str, + char_start: usize, + patterns: &Patterns, +) -> Option { + let caps = patterns.heading.captures(line)?; + // Safe: markdown headers are ### (max few chars). + let level = u8::try_from(caps.get(1)?.as_str().len()).unwrap_or(0); + let text = caps.get(2)?.as_str().to_string(); + let char_end = char_start + line.len(); + + Some(DocumentElement::heading( + StructuredHeading::new(level, text), + char_start, + char_end, + )) +} + +/// Detect ASCII/pipe tables in extracted PDF text. +/// +/// PDF text extraction often produces tables that look like: +/// ```text +/// Name Age City +/// Alice 30 NYC +/// Bob 25 LA +/// ``` +/// +/// This function attempts to detect such patterns by analyzing +/// column alignment. +#[must_use] +pub fn detect_ascii_tables(text: &str) -> Vec<(usize, usize, StructuredTable)> { + let mut tables = Vec::new(); + let lines: Vec<&str> = text.lines().collect(); + + // Simple heuristic: look for consecutive lines with similar structure + // (multiple space-separated columns) + let mut i = 0; + let mut table_counter = 0; + + while i < lines.len() { + if let Some((table, consumed)) = try_detect_ascii_table(&lines, i, &mut table_counter) { + let char_start = lines[..i].iter().map(|l| l.len() + 1).sum::(); + let char_end = char_start + + lines[i..i + consumed] + .iter() + .map(|l| l.len() + 1) + .sum::(); + tables.push((char_start, char_end, table)); + i += consumed; + } else { + i += 1; + } + } + + tables +} + +/// Try to detect an ASCII table (space-aligned columns). +fn try_detect_ascii_table( + lines: &[&str], + start: usize, + table_counter: &mut usize, +) -> Option<(StructuredTable, usize)> { + // Need at least 2 lines + if start + 1 >= lines.len() { + return None; + } + + let first_line = lines[start]; + + // Skip empty lines + if first_line.trim().is_empty() { + return None; + } + + // Detect columns by finding consistent spacing patterns + let columns = detect_column_positions(first_line); + if columns.len() < 2 { + return None; + } + + // Check if following lines have similar column structure + let mut consistent_lines = 1; + for i in (start + 1)..lines.len() { + let line = lines[i]; + if line.trim().is_empty() { + break; + } + let line_cols = detect_column_positions(line); + if !columns_roughly_match(&columns, &line_cols) { + break; + } + consistent_lines += 1; + } + + // Need at least 2 consistent lines + if consistent_lines < 2 { + return None; + } + + // Build table + *table_counter += 1; + let table_id = format!("ascii_tbl_{:04}", *table_counter); + let mut table = StructuredTable::new(&table_id); + + // Parse header (first line) + let header_cells = split_by_columns(first_line, &columns); + table.headers = header_cells.clone(); + table.n_cols = header_cells.len(); + + let header_row = StructuredRow::new( + 0, + header_cells + .iter() + .enumerate() + .map(|(i, text)| StructuredCell::new(text.clone(), i)) + .collect(), + ) + .as_header(); + table.rows.push(header_row); + + // Parse data rows + for (row_idx, i) in ((start + 1)..(start + consistent_lines)).enumerate() { + let cells = split_by_columns(lines[i], &columns); + let row = StructuredRow::new( + row_idx + 1, + cells + .iter() + .enumerate() + .map(|(i, text)| StructuredCell::new(text.clone(), i)) + .collect(), + ); + table.rows.push(row); + } + + table.raw_text = lines[start..start + consistent_lines].join("\n"); + + Some((table, consistent_lines)) +} + +/// Detect column positions based on word boundaries and spacing. +fn detect_column_positions(line: &str) -> Vec { + let mut positions = Vec::new(); + let mut in_word = false; + let mut space_run = 0; + + for (i, ch) in line.char_indices() { + if ch.is_whitespace() { + if in_word { + in_word = false; + space_run = 1; + } else { + space_run += 1; + } + } else { + if !in_word { + // Start of new word + if positions.is_empty() || space_run >= 2 { + positions.push(i); + } + in_word = true; + } + space_run = 0; + } + } + + positions +} + +/// Check if two column position sets roughly match. +fn columns_roughly_match(cols1: &[usize], cols2: &[usize]) -> bool { + if cols1.len() != cols2.len() { + return false; + } + + // Allow some tolerance in column positions + const TOLERANCE: usize = 3; + + for (c1, c2) in cols1.iter().zip(cols2.iter()) { + if (*c1 as isize - *c2 as isize).unsigned_abs() > TOLERANCE { + return false; + } + } + + true +} + +/// Split a line by column positions. +fn split_by_columns(line: &str, columns: &[usize]) -> Vec { + let chars: Vec = line.chars().collect(); + let mut result = Vec::new(); + + for (i, &start) in columns.iter().enumerate() { + let end = columns.get(i + 1).copied().unwrap_or(chars.len()); + let cell: String = chars[start.min(chars.len())..end.min(chars.len())] + .iter() + .collect(); + result.push(cell.trim().to_string()); + } + + result +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_detect_markdown_table() { + let text = r"Some text before. + +| Name | Age | City | +|------|-----|------| +| Alice | 30 | NYC | +| Bob | 25 | LA | + +Some text after."; + + let doc = detect_structure(text); + assert_eq!(doc.table_count, 1); + + let table = doc.tables().next().unwrap(); + assert_eq!(table.headers, vec!["Name", "Age", "City"]); + assert_eq!(table.rows.len(), 3); // header + 2 data rows + assert_eq!(table.data_row_count(), 2); + } + + #[test] + fn test_detect_code_block() { + let text = r#"Here is some code: + +```rust +fn main() { + println!("Hello"); +} +``` + +And more text."#; + + let doc = detect_structure(text); + assert_eq!(doc.code_block_count, 1); + + let code_elem = doc + .elements + .iter() + .find(|e| e.element_type == ElementType::CodeBlock) + .unwrap(); + + if let ElementData::CodeBlock(block) = &code_elem.data { + assert_eq!(block.language, Some("rust".to_string())); + assert!(block.content.contains("println!")); + } else { + panic!("Expected code block"); + } + } + + #[test] + fn test_detect_lists() { + let text = r"Shopping list: + +- Apples +- Bananas +- Oranges + +Steps: + +1. First step +2. Second step +3. Third step"; + + let doc = detect_structure(text); + + let lists: Vec<_> = doc + .elements + .iter() + .filter(|e| e.element_type == ElementType::List) + .collect(); + + assert_eq!(lists.len(), 2); + } + + #[test] + fn test_detect_headings() { + let text = r"# Main Title + +Some intro text. + +## Section One + +Content here. + +### Subsection + +More content."; + + let doc = detect_structure(text); + + let headings: Vec<_> = doc + .elements + .iter() + .filter(|e| e.element_type == ElementType::Heading) + .collect(); + + assert_eq!(headings.len(), 3); + + if let ElementData::Heading(h) = &headings[0].data { + assert_eq!(h.level, 1); + assert_eq!(h.text, "Main Title"); + } + } + + #[test] + fn test_complex_document() { + let text = r"# Report + +## Summary + +This report covers Q1 results. + +| Quarter | Revenue | Growth | +|---------|---------|--------| +| Q1 2024 | $10M | 15% | +| Q1 2023 | $8.7M | 12% | + +## Analysis + +Key findings: + +- Revenue increased by 15% +- Customer base grew +- Market share expanded + +```python +def calculate_growth(current, previous): + return (current - previous) / previous * 100 +``` + +--- + +## Conclusion + +Strong performance overall."; + + let doc = detect_structure(text); + + assert_eq!(doc.table_count, 1); + assert_eq!(doc.code_block_count, 1); + + // Check headings + let heading_count = doc + .elements + .iter() + .filter(|e| e.element_type == ElementType::Heading) + .count(); + assert_eq!(heading_count, 4); + + // Check lists + let list_count = doc + .elements + .iter() + .filter(|e| e.element_type == ElementType::List) + .count(); + assert_eq!(list_count, 1); + + // Check separator + let sep_count = doc + .elements + .iter() + .filter(|e| e.element_type == ElementType::Separator) + .count(); + assert_eq!(sep_count, 1); + } + + #[test] + fn test_table_parsing() { + let row = "| Alice | 30 | NYC |"; + let cells = parse_table_row(row); + assert_eq!(cells, vec!["Alice", "30", "NYC"]); + } + + #[test] + fn test_column_detection() { + let line = "Name Age City"; + let positions = detect_column_positions(line); + assert_eq!(positions.len(), 3); + } + + #[test] + fn test_ascii_table_detection() { + let text = r"Name Age City +Alice 30 NYC +Bob 25 LA +Charlie 35 SF"; + + let tables = detect_ascii_tables(text); + assert_eq!(tables.len(), 1); + + let (_, _, table) = &tables[0]; + assert_eq!(table.headers.len(), 3); + assert_eq!(table.data_row_count(), 3); // All rows treated as data in ASCII + } +} diff --git a/src/structure/mod.rs b/src/structure/mod.rs new file mode 100644 index 0000000..069d33c --- /dev/null +++ b/src/structure/mod.rs @@ -0,0 +1,46 @@ +//! Structure-aware document processing for intelligent chunking. +//! +//! This module provides detection and chunking of document structures like tables, +//! code blocks, lists, and sections. It ensures that semantic units are preserved +//! during chunking, with features like table header propagation. +//! +//! # Architecture +//! +//! ```text +//! Raw Text ──► Detector ──► StructuredDocument ──► Chunker ──► StructuredChunks +//! │ +//! ├── Tables (with headers/rows) +//! ├── Code blocks (with language) +//! ├── Lists (ordered/unordered) +//! ├── Headings (h1-h6) +//! └── Paragraphs +//! ``` +//! +//! # Example +//! +//! ```ignore +//! use memvid_core::structure::{detect_structure, StructuralChunker, ChunkingOptions}; +//! +//! let text = "# Report\n\n| Name | Value |\n|---|---|\n| A | 1 |\n| B | 2 |"; +//! let doc = detect_structure(text); +//! +//! let chunker = StructuralChunker::new(ChunkingOptions::default()); +//! let result = chunker.chunk(&doc); +//! +//! for chunk in result.chunks { +//! println!("{}: {}", chunk.chunk_type, chunk.text); +//! } +//! ``` + +mod chunker; +mod detector; + +pub use chunker::{StructuralChunker, chunk_structured, chunk_structured_with_max}; +pub use detector::{detect_ascii_tables, detect_structure}; + +// Re-export types for convenience +pub use crate::types::structure::{ + ChunkType, ChunkingOptions, ChunkingResult, CodeChunkingStrategy, DocumentElement, ElementData, + ElementType, StructuredCell, StructuredChunk, StructuredCodeBlock, StructuredDocument, + StructuredHeading, StructuredList, StructuredRow, StructuredTable, TableChunkingStrategy, +}; diff --git a/src/symspell_cleanup.rs b/src/symspell_cleanup.rs new file mode 100644 index 0000000..dfaee50 --- /dev/null +++ b/src/symspell_cleanup.rs @@ -0,0 +1,496 @@ +//! SymSpell-based PDF text cleanup. +//! +//! This module uses the SymSpell algorithm to fix broken word spacing +//! that commonly occurs in PDF text extraction. It handles both: +//! - Words split by spurious spaces: "emp lo yee" → "employee" +//! - Words incorrectly joined: "olderdo cuments" → "older documents" +//! +//! Uses a hybrid approach: +//! 1. Pre-join obvious PDF fragments (single chars, 2-3 letter non-words) +//! 2. Use SymSpell lookup_compound for remaining issues + +use std::sync::OnceLock; + +use symspell::{AsciiStringStrategy, SymSpell, Verbosity}; + +/// Global SymSpell instance with both dictionaries loaded +static SYMSPELL: OnceLock> = OnceLock::new(); + +/// Embedded frequency dictionary for English (top 82,765 words) +const FREQUENCY_DICT: &str = include_str!("../data/frequency_dictionary_en_82_765.txt"); + +/// Embedded bigram dictionary for English (243,342 word pairs) +/// Required for lookup_compound to work properly with phrase context +const BIGRAM_DICT: &str = include_str!("../data/frequency_bigramdictionary_en_243_342.txt"); + +/// Common short words that should NOT be joined with neighbors +const COMMON_SHORT_WORDS: &[&str] = &[ + "a", "i", "an", "as", "at", "be", "by", "do", "go", "he", "if", "in", "is", "it", "me", "my", + "no", "of", "on", "or", "so", "to", "up", "us", "we", "am", "are", "can", "did", "for", "get", + "got", "had", "has", "her", "him", "his", "its", "let", "may", "nor", "not", "now", "off", + "old", "one", "our", "out", "own", "ran", "run", "saw", "say", "see", "set", "she", "the", + "too", "two", "use", "was", "way", "who", "why", "yet", "you", "all", "and", "any", "but", + "few", "how", "man", "new", "per", "put", "via", +]; + +/// Initialize the SymSpell instance with both dictionaries +fn init_symspell() -> SymSpell { + let mut symspell: SymSpell = SymSpell::default(); + + // Load unigram dictionary (word frequencies) + // Format: "word frequency" (e.g., "the 23135851162") + for line in FREQUENCY_DICT.lines() { + symspell.load_dictionary_line(line, 0, 1, " "); + } + + // Load bigram dictionary (word pair frequencies) + // Format: "word1 word2 frequency" (e.g., "abcs of 10956800") + for line in BIGRAM_DICT.lines() { + symspell.load_bigram_dictionary_line(line, 0, 2, " "); + } + + tracing::debug!( + target: "memvid::symspell", + "SymSpell initialized with {} unigram and {} bigram entries", + FREQUENCY_DICT.lines().count(), + BIGRAM_DICT.lines().count() + ); + + symspell +} + +/// Get or initialize the global SymSpell instance +fn get_symspell() -> &'static SymSpell { + SYMSPELL.get_or_init(init_symspell) +} + +/// Check if a word is a common short English word +fn is_common_word(s: &str) -> bool { + let lower = s.to_ascii_lowercase(); + COMMON_SHORT_WORDS.contains(&lower.as_str()) +} + +/// Check if string is purely alphabetic +fn is_alpha(s: &str) -> bool { + !s.is_empty() && s.chars().all(|c| c.is_ascii_alphabetic()) +} + +/// Check if a token looks like a PDF fragment (should be joined) +fn is_fragment(s: &str) -> bool { + if !is_alpha(s) { + return false; + } + let len = s.len(); + // Single chars (except I, a) are fragments + if len == 1 { + if let Some(c) = s.chars().next() { + return c != 'I' && c != 'a' && c != 'A'; + } + return false; + } + // 2-3 letter non-common words are likely fragments + if len <= 3 && !is_common_word(s) { + return true; + } + // 4 letter non-common words that look like fragments (not in dictionary) + // This catches patterns like "resp", "repp", "prev", etc. + if len == 4 && !is_common_word(s) { + let symspell = get_symspell(); + let suggestions = symspell.lookup(&s.to_lowercase(), Verbosity::Top, 0); + // If not in dictionary with exact match, it's likely a fragment + if suggestions.is_empty() { + return true; + } + } + false +} + +/// Pre-process text to join obvious PDF fragment runs before SymSpell +/// +/// This handles cases like "emp lo yee" → "employee" by joining +/// sequences of short fragments that SymSpell can't handle well. +fn prejoin_fragments(text: &str) -> String { + let words: Vec<&str> = text.split_whitespace().collect(); + if words.len() < 2 { + return text.to_string(); + } + + let symspell = get_symspell(); + let mut result: Vec = Vec::with_capacity(words.len()); + let mut i = 0; + + while i < words.len() { + let word = words[i]; + + // Try greedy merge: look ahead and try progressively longer merges + // This handles "resp on liabilities" → "responsibilities" + let mut best_merge: Option<(String, usize)> = None; // (corrected_word, end_index) + + // Only try greedy merge if current word is NOT a common word + // This prevents "The emp" from merging incorrectly + if is_alpha(word) && !is_common_word(word) && i + 1 < words.len() { + let mut merged = String::from(word); + let mut j = i + 1; + + // Try merging up to 5 consecutive tokens + while j < words.len() && j - i < 6 && is_alpha(words[j]) { + merged.push_str(words[j]); + j += 1; + + // Check if this merge produces a valid word + let suggestions = symspell.lookup(&merged.to_lowercase(), Verbosity::Closest, 2); + if let Some(suggestion) = suggestions.first() { + // Accept if exact match or close enough for longer words + if suggestion.distance == 0 + || (suggestion.distance == 1 && merged.len() >= 6) + || (suggestion.distance == 2 && merged.len() >= 10) + { + // This is a valid merge - but keep looking for longer ones + best_merge = Some((suggestion.term.clone(), j)); + } + } + + // Stop if the next word is a common word (likely real word boundary) + if j < words.len() && is_common_word(words[j]) && words[j].len() >= 3 { + break; + } + } + } + + // Check if we should try to merge with next word(s) using old logic + let should_try_old_merge = if best_merge.is_none() && i + 1 < words.len() { + let next = words[i + 1]; + // Case 1: Both are obvious fragments + if is_fragment(word) && is_fragment(next) { + true + } + // Case 2: Current is short (1-2 chars) alpha, next is fragment + // Handles "A va" → "ava" for names + else if is_alpha(word) && word.len() <= 2 && is_fragment(next) { + // Check if joining creates a valid word + let test_merge = format!("{}{}", word.to_lowercase(), next.to_lowercase()); + let suggestions = symspell.lookup(&test_merge, Verbosity::Closest, 1); + suggestions + .first() + .map(|s| s.distance == 0) + .unwrap_or(false) + } else { + false + } + } else { + false + }; + + if let Some((corrected, end_idx)) = best_merge { + result.push(corrected); + i = end_idx; + } else if should_try_old_merge { + // Collect all consecutive fragments + let mut merged = String::from(word); + let start_i = i; + i += 1; + + while i < words.len() && is_fragment(words[i]) { + merged.push_str(words[i]); + i += 1; + } + + // Check if merged string is a valid word + let suggestions = symspell.lookup(&merged.to_lowercase(), Verbosity::Closest, 2); + if let Some(suggestion) = suggestions.first() { + if suggestion.distance == 0 || (suggestion.distance <= 2 && merged.len() >= 4) { + // It's a valid word or close enough, use the corrected version + result.push(suggestion.term.clone()); + continue; + } + } + + // Not a valid word, restore original tokens + for j in start_i..i { + result.push(words[j].to_string()); + } + } else { + result.push(word.to_string()); + i += 1; + } + } + + result.join(" ") +} + +/// Fix broken word spacing in PDF-extracted text using SymSpell. +/// +/// Uses a hybrid approach: +/// 1. Pre-join obvious PDF fragments (single chars, 2-3 letter non-words) +/// 2. Use SymSpell lookup_compound for remaining issues +/// +/// # Arguments +/// * `text` - The text to clean up +/// * `max_edit_distance` - Maximum edit distance for corrections (default: 2) +/// +/// # Returns +/// The cleaned text with proper word spacing +#[must_use] +pub fn fix_pdf_text_symspell(text: &str, max_edit_distance: i64) -> String { + if text.is_empty() { + return String::new(); + } + + let symspell = get_symspell(); + + // Process line by line to preserve paragraph structure + let lines: Vec<&str> = text.lines().collect(); + let mut result = Vec::with_capacity(lines.len()); + + for line in lines { + let trimmed = line.trim(); + if trimmed.is_empty() { + result.push(String::new()); + continue; + } + + // Split line into tokens + let tokens: Vec<&str> = trimmed.split_whitespace().collect(); + if tokens.is_empty() { + continue; + } + + // Group tokens into "safe" (text-only) and "protected" (contains digits/symbols) chunks + let mut chunks: Vec<(bool, Vec<&str>)> = Vec::new(); // (is_protected, tokens) + + let mut current_chunk: Vec<&str> = Vec::new(); + let mut current_is_protected = false; + + for token in tokens { + // Heuristic: specific tokens are "protected" from SymSpell + // 1. Contains a digit (e.g. "2025", "X500", "COVID-19") + // 2. Contains non-alphabetic symbols (e.g. "user_id", "email@addr") - optional, but safer + // For now, let's stick to the "contains digit" rule which fixes the observed massive failures + let is_protected = token.chars().any(|c| c.is_ascii_digit()); + + if chunks.is_empty() && current_chunk.is_empty() { + // First token + current_is_protected = is_protected; + current_chunk.push(token); + } else if is_protected == current_is_protected { + // Continue current chunk + current_chunk.push(token); + } else { + // Switch chunk type + chunks.push((current_is_protected, current_chunk)); + current_chunk = vec![token]; + current_is_protected = is_protected; + } + } + if !current_chunk.is_empty() { + chunks.push((current_is_protected, current_chunk)); + } + + // Process chunks + let mut line_parts: Vec = Vec::new(); + for (is_protected, chunk_tokens) in chunks { + if is_protected { + // Keep protected tokens as-is (just join them) + line_parts.push(chunk_tokens.join(" ")); + } else { + // Run SymSpell on safe text tokens + let chunk_text = chunk_tokens.join(" "); + + // Step 1: Pre-join obvious PDF fragments + let prejoined = prejoin_fragments(&chunk_text); + + // Step 2: Use lookup_compound for remaining issues + let suggestions = symspell.lookup_compound(&prejoined, max_edit_distance); + + if let Some(suggestion) = suggestions.first() { + line_parts.push(suggestion.term.clone()); + } else { + line_parts.push(chunk_text); + } + } + } + + result.push(line_parts.join(" ")); + } + + result.join("\n") +} + +/// Fix broken word spacing with default edit distance of 2 +#[must_use] +pub fn fix_pdf_text(text: &str) -> String { + fix_pdf_text_symspell(text, 2) +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn fixes_split_words() { + // Common PDF extraction artifacts - SymSpell returns lowercase + let result = fix_pdf_text("emp lo yee"); + assert!( + result == "employee" || result == "emp lo yee", + "got: {}", + result + ); + + let result = fix_pdf_text("co mp an y"); + assert!( + result == "company" || result.contains("comp"), + "got: {}", + result + ); + } + + #[test] + fn fixes_classic_symspell_example() { + // The classic SymSpell demo sentence + let input = "whereis th elove"; + let result = fix_pdf_text(input); + assert!( + result.contains("where") && result.contains("love"), + "got: {}", + result + ); + } + + #[test] + fn preserves_correct_text() { + // Normal text should remain mostly unchanged + let result = fix_pdf_text("the manager reported"); + assert!( + result.contains("manager") && result.contains("reported"), + "got: {}", + result + ); + } + + #[test] + fn handles_multiline() { + let input = "hello world\n\ntest sentence"; + let result = fix_pdf_text(input); + assert!(result.contains("hello")); + assert!(result.contains("test")); + } + + #[test] + fn fixes_name_fragments() { + // "A va" should become "ava" (SymSpell lowercases) + let result = prejoin_fragments("A va Martin"); + assert!( + result.contains("ava") || result.contains("Ava"), + "got: {}", + result + ); + } + + #[test] + fn fixes_supervisor_split() { + // "sup erviso r" is a common PDF artifact + let result = fix_pdf_text("sup erviso r"); + assert!( + result.contains("supervisor") || result.contains("supervise"), + "got: {}", + result + ); + } + + #[test] + fn preserves_valid_short_words() { + // Valid short words should NOT be joined + let result = fix_pdf_text("I am a person"); + assert!( + result.contains("am") && result.contains("person"), + "got: {}", + result + ); + + let result = fix_pdf_text("to be or not"); + // Should preserve these common short words + assert!( + result.contains("to") || result.contains("be"), + "got: {}", + result + ); + } + + #[test] + fn fixes_joined_words() { + // SymSpell lookup_compound should split incorrectly joined words + let result = fix_pdf_text("olderdo cuments"); + // Should become "older documents" or similar + assert!( + result.contains("older") || result.contains("document"), + "got: {}", + result + ); + } + + #[test] + fn handles_mixed_content() { + // Mix of correct and broken text + let result = fix_pdf_text("The emp lo yee reported to the man ager"); + assert!( + result.contains("employee") || result.contains("emp"), + "got: {}", + result + ); + assert!( + result.contains("manager") || result.contains("man"), + "got: {}", + result + ); + } + + #[test] + fn handles_empty_input() { + assert_eq!(fix_pdf_text(""), ""); + assert_eq!(fix_pdf_text(" "), ""); + } + + #[test] + fn handles_single_word() { + let result = fix_pdf_text("hello"); + assert_eq!(result, "hello"); + } + + #[test] + fn prejoin_respects_common_words() { + // "man" is a common word, should not be joined with "ager" unless adjacent + // "man ager" should still join since "ager" is a fragment + let result = prejoin_fragments("man ager"); + assert!( + result == "manager" || result == "man ager", + "got: {}", + result + ); + } + + #[test] + fn fixes_numbers_and_proper_nouns() { + // "Model X500" should keep "X500" intact (protected token), + // while "Model" might be lowercased to "model" by SymSpell + let result = fix_pdf_text("Model X500"); + assert_eq!(result, "model X500"); + + // "2025" should be protected + let result = fix_pdf_text("The year 2025"); + assert_eq!(result, "the year 2025"); + + // "iPhone 15 Pro" -> "15" is protected. + // "iPhone" -> "iphone" (lowercased), "Pro" -> "pro" (lowercased) + let result = fix_pdf_text("iPhone 15 Pro"); + assert_eq!(result, "iphone 15 pro"); + + // "COVID-19" has digits -> protected + let result = fix_pdf_text("COVID-19 pandemic"); + assert_eq!(result, "COVID-19 pandemic"); + + // Mixed line with cleanup needed + protected token + // "emp lo yee 123" -> "employee 123" + let result = fix_pdf_text("emp lo yee 123"); + assert_eq!(result, "employee 123"); + } +} diff --git a/src/table/layout.rs b/src/table/layout.rs new file mode 100644 index 0000000..719da60 --- /dev/null +++ b/src/table/layout.rs @@ -0,0 +1,624 @@ +//! PDF layout extraction utilities. +//! +//! This module extracts text boxes and line segments from PDFs, +//! providing the raw layout data needed for table detection. + +use crate::error::{MemvidError, Result}; + +/// A text box with position information from a PDF. +#[derive(Debug, Clone)] +pub struct TextBox { + /// Text content + pub text: String, + /// Left edge X coordinate (in points) + pub x: f32, + /// Bottom edge Y coordinate (in points, PDF coordinates) + pub y: f32, + /// Width in points + pub width: f32, + /// Height in points + pub height: f32, + /// Font size (if available) + pub font_size: f32, + /// Page number (1-indexed) + pub page: u32, +} + +impl TextBox { + /// Get the right edge X coordinate. + #[must_use] + pub fn right(&self) -> f32 { + self.x + self.width + } + + /// Get the top edge Y coordinate. + #[must_use] + pub fn top(&self) -> f32 { + self.y + self.height + } + + /// Get the center X coordinate. + #[must_use] + pub fn center_x(&self) -> f32 { + self.x + self.width / 2.0 + } + + /// Get the center Y coordinate. + #[must_use] + pub fn center_y(&self) -> f32 { + self.y + self.height / 2.0 + } + + /// Check if this text box overlaps with another. + #[must_use] + pub fn overlaps(&self, other: &Self) -> bool { + self.x < other.right() + && self.right() > other.x + && self.y < other.top() + && self.top() > other.y + } +} + +/// A line segment from PDF path objects (for Lattice detection). +#[derive(Debug, Clone)] +pub struct LineSegment { + /// Start X coordinate + pub x1: f32, + /// Start Y coordinate + pub y1: f32, + /// End X coordinate + pub x2: f32, + /// End Y coordinate + pub y2: f32, + /// Page number (1-indexed) + pub page: u32, +} + +impl LineSegment { + /// Check if this is a horizontal line (within tolerance). + #[must_use] + pub fn is_horizontal(&self, tolerance: f32) -> bool { + (self.y1 - self.y2).abs() <= tolerance + } + + /// Check if this is a vertical line (within tolerance). + #[must_use] + pub fn is_vertical(&self, tolerance: f32) -> bool { + (self.x1 - self.x2).abs() <= tolerance + } + + /// Get the length of this line segment. + #[must_use] + pub fn length(&self) -> f32 { + ((self.x2 - self.x1).powi(2) + (self.y2 - self.y1).powi(2)).sqrt() + } + + /// Get the Y coordinate for horizontal lines. + #[must_use] + pub fn y_coord(&self) -> f32 { + f32::midpoint(self.y1, self.y2) + } + + /// Get the X coordinate for vertical lines. + #[must_use] + pub fn x_coord(&self) -> f32 { + f32::midpoint(self.x1, self.x2) + } +} + +/// Layout information for a single page. +#[derive(Debug, Clone)] +pub struct PageLayout { + /// Page number (1-indexed) + pub page_number: u32, + /// Page width in points + pub width: f32, + /// Page height in points + pub height: f32, + /// Text boxes on this page + pub text_boxes: Vec, + /// Line segments on this page (for Lattice detection) + pub lines: Vec, +} + +impl PageLayout { + /// Create an empty page layout. + #[must_use] + pub fn new(page_number: u32, width: f32, height: f32) -> Self { + Self { + page_number, + width, + height, + text_boxes: Vec::new(), + lines: Vec::new(), + } + } + + /// Check if the page has any content. + #[must_use] + pub fn is_empty(&self) -> bool { + self.text_boxes.is_empty() && self.lines.is_empty() + } + + /// Get horizontal lines (filtered by tolerance). + #[must_use] + pub fn horizontal_lines(&self, tolerance: f32) -> Vec<&LineSegment> { + self.lines + .iter() + .filter(|l| l.is_horizontal(tolerance)) + .collect() + } + + /// Get vertical lines (filtered by tolerance). + #[must_use] + pub fn vertical_lines(&self, tolerance: f32) -> Vec<&LineSegment> { + self.lines + .iter() + .filter(|l| l.is_vertical(tolerance)) + .collect() + } + + /// Check if this page likely has ruled tables (significant line count). + #[must_use] + pub fn has_ruled_structure(&self, min_lines: usize, tolerance: f32) -> bool { + let h_count = self.horizontal_lines(tolerance).len(); + let v_count = self.vertical_lines(tolerance).len(); + h_count >= min_lines && v_count >= min_lines + } +} + +/// Extract layout information from a PDF using pdfium. +/// +/// This is the primary extraction path when the `pdfium` feature is enabled. +#[cfg(feature = "pdfium")] +pub fn extract_pdf_layout(bytes: &[u8], max_pages: usize) -> Result> { + use pdfium_render::prelude::*; + + let pdfium = Pdfium::default(); + let document = + pdfium + .load_pdf_from_byte_slice(bytes, None) + .map_err(|e| MemvidError::TableExtraction { + reason: format!("failed to load PDF: {e}"), + })?; + + let page_count = document.pages().len() as usize; + let max_pages_usize = max_pages as usize; + let pages_to_process = if max_pages_usize > 0 { + page_count.min(max_pages_usize) + } else { + page_count + }; + + let mut layouts = Vec::with_capacity(pages_to_process); + + for page_idx in 0..pages_to_process { + let page = + document + .pages() + .get(page_idx as u16) + .map_err(|e| MemvidError::TableExtraction { + reason: format!("failed to get page {}: {e}", page_idx + 1), + })?; + + let page_number = (page_idx + 1) as u32; + let width = page.width().value; + let height = page.height().value; + + let mut layout = PageLayout::new(page_number, width, height); + + // Extract text objects with positions + for object in page.objects().iter() { + if let Some(text_obj) = object.as_text_object() { + if let Ok(bounds) = object.bounds() { + let text = text_obj.text(); + if !text.trim().is_empty() { + layout.text_boxes.push(TextBox { + text, + x: bounds.left().value, + y: bounds.bottom().value, + width: bounds.right().value - bounds.left().value, + height: bounds.top().value - bounds.bottom().value, + font_size: text_obj.unscaled_font_size().value, + page: page_number, + }); + } + } + } + + // Extract path objects for line detection + if let Some(path_obj) = object.as_path_object() { + extract_lines_from_path(&path_obj, page_number, &mut layout.lines); + } + } + + layouts.push(layout); + } + + Ok(layouts) +} + +/// Extract line segments from a PDF path object. +#[cfg(feature = "pdfium")] +fn extract_lines_from_path( + path: &pdfium_render::prelude::PdfPagePathObject, + page: u32, + lines: &mut Vec, +) { + use pdfium_render::prelude::*; + + let mut current_x = 0.0f32; + let mut current_y = 0.0f32; + + for segment in path.segments().iter() { + match segment.segment_type() { + PdfPathSegmentType::MoveTo => { + // API changed: x() and y() return PdfPoints directly now + let x = segment.x(); + let y = segment.y(); + current_x = x.value; + current_y = y.value; + } + PdfPathSegmentType::LineTo => { + let x = segment.x(); + let y = segment.y(); + let new_x = x.value; + let new_y = y.value; + + // Only add lines of significant length + let length = ((new_x - current_x).powi(2) + (new_y - current_y).powi(2)).sqrt(); + if length > 5.0 { + lines.push(LineSegment { + x1: current_x, + y1: current_y, + x2: new_x, + y2: new_y, + page, + }); + } + + current_x = new_x; + current_y = new_y; + } + PdfPathSegmentType::BezierTo => { + // For Bezier curves, just move to the endpoint + // (curves are rarely used for table borders) + let x = segment.x(); + let y = segment.y(); + current_x = x.value; + current_y = y.value; + } + _ => { + // Handles Unknown and any other segment types (like close path) + // For close path: connect back to move point + // For unknown: ignore + } + } + } +} + +/// Fallback layout extraction using lopdf when pdfium is not available. +/// +/// This provides basic text extraction with whitespace-based column detection. +/// While not as accurate as pdfium's native text positioning, it can still +/// detect tables with consistent column alignment. +#[cfg(not(feature = "pdfium"))] +pub fn extract_pdf_layout(bytes: &[u8], max_pages: usize) -> Result> { + use lopdf::Document; + + let document = Document::load_mem(bytes).map_err(|e| MemvidError::TableExtraction { + reason: format!("failed to load PDF with lopdf: {e}"), + })?; + + let page_count = document.get_pages().len(); + let pages_to_process = if max_pages > 0 { + page_count.min(max_pages) + } else { + page_count + }; + + let mut layouts = Vec::with_capacity(pages_to_process); + + for page_idx in 0..pages_to_process { + let page_number = u32::try_from(page_idx + 1).unwrap_or(0); + + // Get page dimensions (default to standard US Letter if not available) + let (width, height) = get_page_dimensions(&document, page_idx).unwrap_or((612.0, 792.0)); + + let mut layout = PageLayout::new(page_number, width, height); + + // Extract text and parse whitespace-delimited columns + if let Ok(text) = document.extract_text(&[page_number]) { + let lines: Vec<&str> = text.lines().collect(); + let line_height = if lines.is_empty() { + 12.0 + } else { + (height - 144.0) / lines.len() as f32 // Leave margins + }; + + for (line_idx, line) in lines.iter().enumerate() { + if line.trim().is_empty() { + continue; + } + + // Parse the line into whitespace-separated columns + // Use multiple spaces as column delimiter (common in PDF text extraction) + let text_boxes = parse_line_into_columns( + line, + line_idx, + page_number, + width, + height, + line_height, + ); + + layout.text_boxes.extend(text_boxes); + } + } + + // lopdf doesn't easily expose path objects for line detection + layout.lines = Vec::new(); + + layouts.push(layout); + } + + Ok(layouts) +} + +/// Parse a line into separate text boxes based on whitespace patterns. +/// +/// This uses multiple spaces (2+) as column delimiters, which is common +/// in PDF text extraction output for tabular data. +#[cfg(not(feature = "pdfium"))] +fn parse_line_into_columns( + line: &str, + line_idx: usize, + page: u32, + page_width: f32, + page_height: f32, + line_height: f32, +) -> Vec { + let mut boxes = Vec::new(); + let y = page_height - 72.0 - (line_idx as f32 * line_height); + + // Split on 2+ spaces to detect column boundaries + let re_split: Vec<&str> = line.split(" ").collect(); + + if re_split.len() > 1 { + // Multiple columns detected - assign positions based on split points + let usable_width = page_width - 144.0; // Leave 1-inch margins on each side + let col_width = usable_width / re_split.len() as f32; + + for (col_idx, col_text) in re_split.iter().enumerate() { + let trimmed = col_text.trim(); + if !trimmed.is_empty() { + let x = 72.0 + (col_idx as f32 * col_width); + boxes.push(TextBox { + text: trimmed.to_string(), + x, + y, + width: col_width * 0.9, // Slightly smaller than slot + height: line_height, + font_size: 12.0, + page, + }); + } + } + } else { + // Single column - try splitting on tabs or check for number patterns + let tab_split: Vec<&str> = line.split('\t').collect(); + + if tab_split.len() > 1 { + // Tab-separated + let usable_width = page_width - 144.0; + let col_width = usable_width / tab_split.len() as f32; + + for (col_idx, col_text) in tab_split.iter().enumerate() { + let trimmed = col_text.trim(); + if !trimmed.is_empty() { + let x = 72.0 + (col_idx as f32 * col_width); + boxes.push(TextBox { + text: trimmed.to_string(), + x, + y, + width: col_width * 0.9, + height: line_height, + font_size: 12.0, + page, + }); + } + } + } else { + // Single text span - place at left margin + let trimmed = line.trim(); + if !trimmed.is_empty() { + boxes.push(TextBox { + text: trimmed.to_string(), + x: 72.0, + y, + width: page_width - 144.0, + height: line_height, + font_size: 12.0, + page, + }); + } + } + } + + boxes +} + +/// Get page dimensions from a lopdf document. +#[cfg(not(feature = "pdfium"))] +fn get_page_dimensions(document: &lopdf::Document, page_idx: usize) -> Option<(f32, f32)> { + let pages = document.get_pages(); + let page_id = *pages.get(&u32::try_from(page_idx + 1).unwrap_or(0))?; + + if let Ok(page) = document.get_dictionary(page_id) { + if let Ok(media_box) = page.get(b"MediaBox") { + if let lopdf::Object::Array(arr) = media_box { + if arr.len() >= 4 { + let width = match &arr[2] { + lopdf::Object::Integer(n) => *n as f32, + lopdf::Object::Real(n) => *n, + _ => return None, + }; + let height = match &arr[3] { + lopdf::Object::Integer(n) => *n as f32, + lopdf::Object::Real(n) => *n, + _ => return None, + }; + return Some((width, height)); + } + } + } + } + None +} + +/// Cluster values using a simple distance-based algorithm. +/// +/// Groups values that are within `threshold` of each other +/// and returns cluster centroids. +#[must_use] +pub fn cluster_values(values: &[f32], threshold: f32) -> Vec { + if values.is_empty() { + return Vec::new(); + } + + let mut sorted: Vec = values.to_vec(); + sorted.sort_by(|a, b| a.partial_cmp(b).unwrap_or(std::cmp::Ordering::Equal)); + + let mut clusters: Vec> = Vec::new(); + let mut current_cluster = vec![sorted[0]]; + + for &val in &sorted[1..] { + let last = current_cluster.last().copied().unwrap_or(val); + if val - last <= threshold { + current_cluster.push(val); + } else { + clusters.push(current_cluster); + current_cluster = vec![val]; + } + } + + if !current_cluster.is_empty() { + clusters.push(current_cluster); + } + + // Return cluster centroids + clusters + .iter() + .map(|cluster| cluster.iter().sum::() / cluster.len() as f32) + .collect() +} + +/// Filter cluster values to keep only those appearing consistently. +#[allow(dead_code)] +pub fn filter_consistent_values( + candidates: &[f32], + reference_values: &[f32], + threshold: f32, + min_occurrences: usize, +) -> Vec { + candidates + .iter() + .filter(|&&candidate| { + let count = reference_values + .iter() + .filter(|&&v| (v - candidate).abs() <= threshold) + .count(); + count >= min_occurrences + }) + .copied() + .collect() +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_text_box_geometry() { + let tbox = TextBox { + text: "Hello".to_string(), + x: 100.0, + y: 200.0, + width: 50.0, + height: 20.0, + font_size: 12.0, + page: 1, + }; + + assert!((tbox.right() - 150.0).abs() < 0.001); + assert!((tbox.top() - 220.0).abs() < 0.001); + assert!((tbox.center_x() - 125.0).abs() < 0.001); + assert!((tbox.center_y() - 210.0).abs() < 0.001); + } + + #[test] + fn test_line_segment_orientation() { + let h_line = LineSegment { + x1: 0.0, + y1: 100.0, + x2: 200.0, + y2: 100.0, + page: 1, + }; + assert!(h_line.is_horizontal(1.0)); + assert!(!h_line.is_vertical(1.0)); + + let v_line = LineSegment { + x1: 100.0, + y1: 0.0, + x2: 100.0, + y2: 200.0, + page: 1, + }; + assert!(!v_line.is_horizontal(1.0)); + assert!(v_line.is_vertical(1.0)); + } + + #[test] + fn test_cluster_values() { + let values = vec![10.0, 11.0, 12.0, 50.0, 51.0, 100.0]; + let clusters = cluster_values(&values, 5.0); + + assert_eq!(clusters.len(), 3); + // First cluster around 11 + assert!((clusters[0] - 11.0).abs() < 1.0); + // Second cluster around 50.5 + assert!((clusters[1] - 50.5).abs() < 1.0); + // Third cluster at 100 + assert!((clusters[2] - 100.0).abs() < 1.0); + } + + #[test] + fn test_page_layout_line_filtering() { + let mut layout = PageLayout::new(1, 612.0, 792.0); + layout.lines.push(LineSegment { + x1: 0.0, + y1: 100.0, + x2: 200.0, + y2: 100.0, + page: 1, + }); // horizontal + layout.lines.push(LineSegment { + x1: 100.0, + y1: 0.0, + x2: 100.0, + y2: 200.0, + page: 1, + }); // vertical + layout.lines.push(LineSegment { + x1: 0.0, + y1: 0.0, + x2: 200.0, + y2: 200.0, + page: 1, + }); // diagonal + + assert_eq!(layout.horizontal_lines(2.0).len(), 1); + assert_eq!(layout.vertical_lines(2.0).len(), 1); + } +} diff --git a/src/table/mod.rs b/src/table/mod.rs new file mode 100644 index 0000000..181bf0d --- /dev/null +++ b/src/table/mod.rs @@ -0,0 +1,160 @@ +//! Table extraction module for Memvid. +//! +//! This module provides comprehensive table extraction capabilities for +//! PDF documents (and in the future, DOCX, XLSX, HTML). It supports: +//! +//! - **Lattice detection**: Tables with visible grid lines +//! - **Stream detection**: Tables inferred from text alignment +//! - **Multi-page merging**: Automatic detection of tables spanning pages +//! - **Quality scoring**: Confidence-based filtering +//! +//! # Example +//! +//! ```ignore +//! use memvid_core::table::{ +//! extract_tables_from_pdf, store_table, list_tables, +//! TableExtractionOptions, ExtractionMode, +//! }; +//! +//! // Extract tables from PDF +//! let options = TableExtractionOptions::builder() +//! .mode(ExtractionMode::Conservative) +//! .min_rows(2) +//! .min_cols(2) +//! .build(); +//! +//! let result = extract_tables_from_pdf(&pdf_bytes, "invoice.pdf", &options)?; +//! +//! // Store in MV2 file +//! for table in &result.tables { +//! let (meta_id, row_ids) = store_table(&mut mem, table, true)?; +//! println!("Stored table {} with {} rows", table.table_id, row_ids.len()); +//! } +//! +//! // List stored tables +//! let tables = list_tables(&mem)?; +//! for t in tables { +//! println!("{}: {} rows × {} cols", t.table_id, t.n_rows, t.n_cols); +//! } +//! ``` +//! +//! # Architecture +//! +//! Tables are stored as frames in the MV2 file using two frame kinds: +//! +//! - `table_meta`: Contains table structure, headers, and metadata +//! - `table_row`: Contains individual row data (one frame per row) +//! +//! This allows both full table reconstruction and row-level search. + +mod layout; +mod multi_page; +mod pdf_extractor; +mod storage; +mod types; + +// Re-export public types +pub use layout::{LineSegment, PageLayout, TextBox, cluster_values, extract_pdf_layout}; +pub use multi_page::{find_continuation_candidates, merge_multi_page_tables}; +pub use pdf_extractor::extract_tables_from_pdf; +pub use storage::{ + TABLE_META_KIND, TABLE_ROW_KIND, TABLE_TRACK, export_to_csv, export_to_json, get_table, + list_tables, store_table, store_table_with_embedder, +}; +pub use types::{ + DetectionMode, ExtractedTable, ExtractionMode, TableCell, TableExtractionOptions, + TableExtractionOptionsBuilder, TableExtractionResult, TableQuality, TableRow, TableSummary, +}; + +use crate::error::Result; + +/// Extract tables from a document based on its format. +/// +/// This is a convenience function that dispatches to the appropriate +/// extractor based on file extension or content detection. +/// +/// # Arguments +/// * `bytes` - Document bytes +/// * `filename` - Original filename (used for format detection) +/// * `options` - Extraction options +/// +/// # Returns +/// Extraction result with tables and diagnostics +pub fn extract_tables( + bytes: &[u8], + filename: &str, + options: &TableExtractionOptions, +) -> Result { + let lower = filename.to_lowercase(); + + if lower.ends_with(".pdf") || is_pdf_magic(bytes) { + extract_tables_from_pdf(bytes, filename, options) + } else if lower.ends_with(".xlsx") || lower.ends_with(".xls") { + Ok(TableExtractionResult::empty()) + } else if lower.ends_with(".docx") || lower.ends_with(".doc") { + Ok(TableExtractionResult::empty()) + } else if lower.ends_with(".html") || lower.ends_with(".htm") { + Ok(TableExtractionResult::empty()) + } else { + // Unknown format + Ok(TableExtractionResult::empty()) + } +} + +/// Check if bytes start with PDF magic number. +fn is_pdf_magic(bytes: &[u8]) -> bool { + // PDF magic: %PDF (after optional BOM/whitespace) + let trimmed = bytes + .iter() + .skip_while(|&&b| b == 0xEF || b == 0xBB || b == 0xBF || b.is_ascii_whitespace()) + .take(4) + .copied() + .collect::>(); + + trimmed.starts_with(b"%PDF") +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_pdf_magic_detection() { + assert!(is_pdf_magic(b"%PDF-1.4")); + assert!(is_pdf_magic(b"\xEF\xBB\xBF%PDF-1.7")); // With BOM + assert!(is_pdf_magic(b" %PDF-1.5")); // With whitespace + assert!(!is_pdf_magic(b"PK\x03\x04")); // ZIP/DOCX + assert!(!is_pdf_magic(b"")); + } + + #[test] + fn test_extraction_options_builder() { + let options = TableExtractionOptions::builder() + .mode(ExtractionMode::LatticeOnly) + .min_rows(3) + .min_cols(2) + .min_quality(TableQuality::High) + .merge_multi_page(false) + .max_pages(10) + .build(); + + assert_eq!(options.mode, ExtractionMode::LatticeOnly); + assert_eq!(options.min_rows, 3); + assert_eq!(options.min_cols, 2); + assert_eq!(options.min_quality, TableQuality::High); + assert!(!options.merge_multi_page); + assert_eq!(options.max_pages, 10); + } + + #[test] + fn test_default_options() { + let options = TableExtractionOptions::default(); + + assert_eq!(options.mode, ExtractionMode::Conservative); + assert_eq!(options.min_rows, 2); + assert_eq!(options.min_cols, 2); + assert_eq!(options.min_quality, TableQuality::Medium); + assert!(options.merge_multi_page); + assert_eq!(options.max_pages, 0); + } +} diff --git a/src/table/multi_page.rs b/src/table/multi_page.rs new file mode 100644 index 0000000..1a21a2c --- /dev/null +++ b/src/table/multi_page.rs @@ -0,0 +1,436 @@ +//! Multi-page table merging. +//! +//! This module handles the detection and merging of tables that span +//! multiple pages in a document. + +use super::types::{ExtractedTable, TableExtractionOptions, TableQuality, TableRow}; + +/// Merge tables that span multiple pages. +/// +/// Tables are candidates for merging when: +/// 1. They are on consecutive pages +/// 2. They have the same column count +/// 3. They are from the same source file +/// 4. Their headers are similar (if both have headers) +/// +/// # Arguments +/// * `tables` - Vector of tables to potentially merge +/// * `options` - Extraction options containing merge thresholds +/// +/// # Returns +/// Vector of tables with multi-page tables merged +#[must_use] +pub fn merge_multi_page_tables( + tables: Vec, + options: &TableExtractionOptions, +) -> Vec { + if !options.merge_multi_page || tables.len() < 2 { + return tables; + } + + // Sort tables by page order + let mut sorted_tables = tables; + sorted_tables.sort_by_key(|t| (t.page_start, t.page_end)); + + let mut merged: Vec = Vec::new(); + let mut skip_indices = std::collections::HashSet::new(); + + for (i, table) in sorted_tables.iter().enumerate() { + if skip_indices.contains(&i) { + continue; + } + + let mut current = table.clone(); + + // Look for continuation on subsequent pages + for (j, candidate) in sorted_tables.iter().enumerate().skip(i + 1) { + if skip_indices.contains(&j) { + continue; + } + + // Check if candidate should be merged with current + let merge_score = calculate_merge_score(¤t, candidate, options); + + if merge_score >= options.header_similarity_threshold { + current = merge_two_tables(current, candidate.clone()); + skip_indices.insert(j); + } else { + // Tables are sorted, so if this one doesn't merge, neither will later ones + // (unless they're on a much later page) + if candidate.page_start > current.page_end + 2 { + break; + } + } + } + + merged.push(current); + } + + merged +} + +/// Calculate a score indicating how likely two tables should be merged. +/// +/// Returns a score from 0.0 to 1.0, where higher means more likely to merge. +fn calculate_merge_score( + first: &ExtractedTable, + second: &ExtractedTable, + options: &TableExtractionOptions, +) -> f32 { + let mut score = 0.0f32; + let mut factors = 0; + + // Factor 1: Must be consecutive pages (or nearly consecutive) + let page_gap = second.page_start as i32 - first.page_end as i32; + if page_gap == 1 { + score += 1.0; + factors += 1; + } else if page_gap == 0 { + // Same page - likely different tables + return 0.0; + } else if page_gap <= 2 { + // Small gap - might be continuation with intervening content + score += 0.5; + factors += 1; + } else { + // Too far apart + return 0.0; + } + + // Factor 2: Same source file + if first.source_file == second.source_file { + score += 1.0; + factors += 1; + } else { + return 0.0; + } + + // Factor 3: Same column count + if first.n_cols == second.n_cols { + score += 1.0; + factors += 1; + } else { + // Different column count - not a continuation + return 0.0; + } + + // Factor 4: Header similarity (if both have headers) + if !first.headers.is_empty() && !second.headers.is_empty() { + let similarity = calculate_header_similarity(&first.headers, &second.headers); + if similarity >= options.header_similarity_threshold { + score += similarity; + factors += 1; + } else { + // Headers are different - probably different tables + score -= 0.5; + } + } else if first.headers.is_empty() && second.headers.is_empty() { + // Both without headers - could be continuation + score += 0.5; + factors += 1; + } + + // Factor 5: Detection mode compatibility + if first.detection_mode == second.detection_mode { + score += 0.5; + factors += 1; + } + + // Factor 6: Position heuristics + // First table should end near bottom of page, second should start near top + // (We don't have precise position data, so this is a placeholder) + score += 0.3; + factors += 1; + + if factors == 0 { + return 0.0; + } + + score / factors as f32 +} + +/// Calculate similarity between two header sets. +/// +/// Returns a score from 0.0 (completely different) to 1.0 (identical). +fn calculate_header_similarity(h1: &[String], h2: &[String]) -> f32 { + if h1.is_empty() || h2.is_empty() { + return 0.0; + } + + if h1.len() != h2.len() { + return 0.0; + } + + // Normalize headers for comparison + let norm1: Vec = h1 + .iter() + .map(|s| s.to_lowercase().trim().to_string()) + .collect(); + + let norm2: Vec = h2 + .iter() + .map(|s| s.to_lowercase().trim().to_string()) + .collect(); + + // Count exact matches + let exact_matches = norm1.iter().zip(&norm2).filter(|(a, b)| a == b).count(); + + // Count partial matches (one contains the other) + let partial_matches = norm1 + .iter() + .zip(&norm2) + .filter(|(a, b)| a != b && (a.contains(b.as_str()) || b.contains(a.as_str()))) + .count(); + + let total = h1.len(); + (exact_matches as f32 + partial_matches as f32 * 0.5) / total as f32 +} + +/// Merge two tables into one. +fn merge_two_tables(mut first: ExtractedTable, second: ExtractedTable) -> ExtractedTable { + // Update page range + first.page_end = second.page_end; + + // Determine if second table's first row is a repeated header + let skip_header = should_skip_header(&first, &second); + + // Get rows to add from second table + let rows_to_add: Vec = if skip_header { + second + .rows + .into_iter() + .filter(|r| !r.is_header_row) + .collect() + } else { + second.rows + }; + + // Renumber rows and append + let offset = first.rows.len(); + for mut row in rows_to_add { + row.row_index += offset; + first.rows.push(row); + } + + // Update counts + first.n_rows = first.rows.iter().filter(|r| !r.is_header_row).count(); + + // Merge warnings + first.warnings.extend(second.warnings); + first.warnings.push(format!( + "Merged with table from page {} (detected as continuation)", + second.page_start + )); + + // Update extraction time + first.extraction_ms += second.extraction_ms; + + // Adjust quality for merged tables + first.quality = combined_quality(first.quality, second.quality); + first.confidence_score = f32::midpoint(first.confidence_score, second.confidence_score) - 0.05; + first.confidence_score = first.confidence_score.max(0.0); + + first +} + +/// Determine if the second table's header row should be skipped. +fn should_skip_header(first: &ExtractedTable, second: &ExtractedTable) -> bool { + // If second table doesn't have headers, nothing to skip + if second.headers.is_empty() { + return false; + } + + // If first table doesn't have headers, keep second's headers + if first.headers.is_empty() { + return false; + } + + // Check header similarity - if very similar, it's a repeated header + let similarity = calculate_header_similarity(&first.headers, &second.headers); + similarity >= 0.8 +} + +/// Combine quality ratings from two tables. +fn combined_quality(q1: TableQuality, q2: TableQuality) -> TableQuality { + match (q1, q2) { + (TableQuality::High, TableQuality::High) => TableQuality::High, + (TableQuality::Low, _) | (_, TableQuality::Low) => TableQuality::Medium, + _ => TableQuality::Medium, + } +} + +/// Find potential table continuation candidates. +/// +/// This is a utility function that identifies tables that might +/// be continuations of other tables without actually merging them. +#[must_use] +pub fn find_continuation_candidates( + tables: &[ExtractedTable], + options: &TableExtractionOptions, +) -> Vec<(usize, usize, f32)> { + let mut candidates = Vec::new(); + + for (i, first) in tables.iter().enumerate() { + for (j, second) in tables.iter().enumerate().skip(i + 1) { + let score = calculate_merge_score(first, second, options); + if score >= options.header_similarity_threshold * 0.8 { + candidates.push((i, j, score)); + } + } + } + + // Sort by score descending + candidates.sort_by(|a, b| b.2.partial_cmp(&a.2).unwrap_or(std::cmp::Ordering::Equal)); + + candidates +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::table::types::TableCell; + + fn make_test_table( + id: &str, + source: &str, + page_start: u32, + page_end: u32, + headers: Vec<&str>, + n_rows: usize, + ) -> ExtractedTable { + let mut table = ExtractedTable::new(id, source); + table.page_start = page_start; + table.page_end = page_end; + table.headers = headers.iter().map(|s| (*s).to_string()).collect(); + table.n_cols = headers.len(); + table.n_rows = n_rows; + + // Add header row + let header_cells: Vec = headers + .iter() + .enumerate() + .map(|(i, h)| TableCell::new(*h, i).as_header()) + .collect(); + table + .rows + .push(TableRow::new(0, page_start, header_cells).as_header()); + + // Add data rows + for row_idx in 0..n_rows { + let cells: Vec = (0..headers.len()) + .map(|col| TableCell::new(format!("r{}c{}", row_idx + 1, col), col)) + .collect(); + table + .rows + .push(TableRow::new(row_idx + 1, page_start, cells)); + } + + table + } + + #[test] + fn test_header_similarity_identical() { + let h1 = vec![ + "Date".to_string(), + "Amount".to_string(), + "Description".to_string(), + ]; + let h2 = vec![ + "Date".to_string(), + "Amount".to_string(), + "Description".to_string(), + ]; + + let similarity = calculate_header_similarity(&h1, &h2); + assert!((similarity - 1.0).abs() < 0.001); + } + + #[test] + fn test_header_similarity_case_insensitive() { + let h1 = vec!["DATE".to_string(), "AMOUNT".to_string()]; + let h2 = vec!["date".to_string(), "amount".to_string()]; + + let similarity = calculate_header_similarity(&h1, &h2); + assert!((similarity - 1.0).abs() < 0.001); + } + + #[test] + fn test_header_similarity_different() { + let h1 = vec!["Date".to_string(), "Amount".to_string()]; + let h2 = vec!["Name".to_string(), "Address".to_string()]; + + let similarity = calculate_header_similarity(&h1, &h2); + assert!(similarity < 0.5); + } + + #[test] + fn test_merge_consecutive_tables() { + let t1 = make_test_table("t1", "doc.pdf", 1, 1, vec!["A", "B", "C"], 5); + let t2 = make_test_table("t2", "doc.pdf", 2, 2, vec!["A", "B", "C"], 3); + + let options = TableExtractionOptions::default(); + let merged = merge_multi_page_tables(vec![t1, t2], &options); + + assert_eq!(merged.len(), 1); + assert_eq!(merged[0].page_start, 1); + assert_eq!(merged[0].page_end, 2); + // 5 + 3 rows (header row not counted) + assert_eq!(merged[0].n_rows, 8); + } + + #[test] + fn test_no_merge_different_columns() { + let t1 = make_test_table("t1", "doc.pdf", 1, 1, vec!["A", "B", "C"], 5); + let t2 = make_test_table("t2", "doc.pdf", 2, 2, vec!["X", "Y"], 3); + + let options = TableExtractionOptions::default(); + let merged = merge_multi_page_tables(vec![t1, t2], &options); + + assert_eq!(merged.len(), 2); + } + + #[test] + fn test_no_merge_non_consecutive_pages() { + let t1 = make_test_table("t1", "doc.pdf", 1, 1, vec!["A", "B"], 5); + let t2 = make_test_table("t2", "doc.pdf", 5, 5, vec!["A", "B"], 3); + + let options = TableExtractionOptions::default(); + let merged = merge_multi_page_tables(vec![t1, t2], &options); + + assert_eq!(merged.len(), 2); + } + + #[test] + fn test_merge_disabled() { + let t1 = make_test_table("t1", "doc.pdf", 1, 1, vec!["A", "B"], 5); + let t2 = make_test_table("t2", "doc.pdf", 2, 2, vec!["A", "B"], 3); + + let options = TableExtractionOptions { + merge_multi_page: false, + ..Default::default() + }; + let merged = merge_multi_page_tables(vec![t1, t2], &options); + + assert_eq!(merged.len(), 2); + } + + #[test] + fn test_combined_quality() { + assert_eq!( + combined_quality(TableQuality::High, TableQuality::High), + TableQuality::High + ); + assert_eq!( + combined_quality(TableQuality::High, TableQuality::Medium), + TableQuality::Medium + ); + assert_eq!( + combined_quality(TableQuality::High, TableQuality::Low), + TableQuality::Medium + ); + assert_eq!( + combined_quality(TableQuality::Low, TableQuality::Low), + TableQuality::Medium + ); + } +} diff --git a/src/table/pdf_extractor.rs b/src/table/pdf_extractor.rs new file mode 100644 index 0000000..10f1e3f --- /dev/null +++ b/src/table/pdf_extractor.rs @@ -0,0 +1,1097 @@ +// Safe unwrap: Float comparisons and known-valid iterator operations. +#![allow(clippy::unwrap_used)] +//! PDF table extraction using Lattice and Stream detection. +//! +//! This module implements two complementary table detection strategies: +//! - **Lattice**: Detects tables with visible grid lines (ruled tables) +//! - **Stream**: Infers tables from text alignment and whitespace + +use std::collections::HashMap; +use std::time::Instant; + +use super::layout::{PageLayout, TextBox, cluster_values, extract_pdf_layout}; +use super::types::{ + DetectionMode, ExtractedTable, ExtractionMode, TableCell, TableExtractionOptions, + TableExtractionResult, TableQuality, TableRow, +}; +use crate::error::Result; +use regex::Regex; + +/// Minimum line length to consider for grid detection (in points). +const MIN_LINE_LENGTH: f32 = 20.0; + +/// Minimum number of grid intersections to consider a valid lattice table. +const MIN_GRID_INTERSECTIONS: usize = 4; + +/// Extract tables from a PDF document. +/// +/// # Arguments +/// * `bytes` - Raw PDF bytes +/// * `source_file` - Original filename for metadata +/// * `options` - Extraction configuration +/// +/// # Returns +/// A result containing all extracted tables and diagnostics. +pub fn extract_tables_from_pdf( + bytes: &[u8], + source_file: &str, + options: &TableExtractionOptions, +) -> Result { + let start = Instant::now(); + + // Extract page layouts + let layouts = extract_pdf_layout(bytes, options.max_pages)?; + let pages_processed = u32::try_from(layouts.len()).unwrap_or(0); + + let mut all_tables = Vec::new(); + let mut warnings = Vec::new(); + + // Try Lattice detection first (more reliable when applicable) + if options.mode != ExtractionMode::StreamOnly { + let lattice_tables = extract_lattice_tables(&layouts, source_file, options); + for table in lattice_tables { + if passes_quality_filter(&table, options) { + all_tables.push(table); + } + } + } + + // Then try Stream detection for pages without Lattice tables + if options.mode != ExtractionMode::LatticeOnly { + let pages_with_lattice: std::collections::HashSet = all_tables + .iter() + .flat_map(|t| t.page_start..=t.page_end) + .collect(); + + let stream_layouts: Vec<&PageLayout> = layouts + .iter() + .filter(|l| !pages_with_lattice.contains(&l.page_number)) + .collect(); + + let stream_tables = extract_stream_tables(&stream_layouts, source_file, options); + for table in stream_tables { + if passes_quality_filter(&table, options) { + all_tables.push(table); + } + } + } + + // Fallback: Line-based detection when Stream fails (for lopdf linearized text) + // This detects tables from consecutive lines with key-value patterns + if all_tables.is_empty() && options.mode != ExtractionMode::LatticeOnly { + let line_tables = extract_line_based_tables(bytes, source_file, options); + for table in line_tables { + if passes_quality_filter(&table, options) { + all_tables.push(table); + } + } + } + + // Merge multi-page tables if enabled + if options.merge_multi_page && all_tables.len() > 1 { + all_tables = super::multi_page::merge_multi_page_tables(all_tables, options); + } + + // Sort by page order + all_tables.sort_by_key(|t| (t.page_start, t.page_end)); + + // Generate unique IDs + for (i, table) in all_tables.iter_mut().enumerate() { + if table.table_id.is_empty() { + table.table_id = format!("tbl_{}_{}", source_file.replace('.', "_"), i + 1); + } + } + + let total_ms = start.elapsed().as_millis().try_into().unwrap_or(u64::MAX); + + if all_tables.is_empty() && pages_processed > 0 { + warnings.push("No tables detected in document".to_string()); + } + + Ok(TableExtractionResult { + tables: all_tables, + pages_processed, + total_ms, + warnings, + }) +} + +/// Check if a table passes the quality filter. +fn passes_quality_filter(table: &ExtractedTable, options: &TableExtractionOptions) -> bool { + // Check minimum dimensions + if table.n_rows < options.min_rows || table.n_cols < options.min_cols { + return false; + } + + // Check quality threshold + match (table.quality, options.min_quality) { + (TableQuality::High, _) => true, + (TableQuality::Medium, TableQuality::High) => false, + (TableQuality::Medium, _) => true, + (TableQuality::Low, TableQuality::Low) => true, + (TableQuality::Low, _) => { + // In aggressive mode, allow low quality with warnings + options.mode == ExtractionMode::Aggressive + } + } +} + +// ============================================================================ +// Lattice Detection (Ruled Tables) +// ============================================================================ + +/// A grid cell defined by boundary lines. +#[derive(Debug, Clone)] +struct GridCell { + row: usize, + col: usize, + x_min: f32, + x_max: f32, + y_min: f32, + y_max: f32, +} + +/// Extract tables using grid line detection (Lattice mode). +fn extract_lattice_tables( + layouts: &[PageLayout], + source_file: &str, + options: &TableExtractionOptions, +) -> Vec { + let mut tables = Vec::new(); + + for layout in layouts { + // Get horizontal and vertical lines + let h_lines: Vec = layout + .horizontal_lines(options.row_clustering_threshold) + .iter() + .filter(|l| l.length() >= MIN_LINE_LENGTH) + .map(|l| l.y_coord()) + .collect(); + + let v_lines: Vec = layout + .vertical_lines(options.col_clustering_threshold) + .iter() + .filter(|l| l.length() >= MIN_LINE_LENGTH) + .map(|l| l.x_coord()) + .collect(); + + if h_lines.len() < 2 || v_lines.len() < 2 { + continue; + } + + // Cluster lines to find grid boundaries + let h_clusters = cluster_values(&h_lines, options.row_clustering_threshold); + let v_clusters = cluster_values(&v_lines, options.col_clustering_threshold); + + if h_clusters.len() < 2 || v_clusters.len() < 2 { + continue; + } + + // Build grid cells + let grid = build_grid_cells(&h_clusters, &v_clusters); + if grid.len() < MIN_GRID_INTERSECTIONS { + continue; + } + + // Assign text to cells + let cell_contents = assign_text_to_cells(&layout.text_boxes, &grid); + + // Build table from grid + if let Some(table) = build_table_from_grid( + &grid, + &cell_contents, + layout.page_number, + source_file, + options, + ) { + tables.push(table); + } + } + + tables +} + +/// Build grid cells from clustered line positions. +fn build_grid_cells(h_clusters: &[f32], v_clusters: &[f32]) -> Vec { + let mut cells = Vec::new(); + + // Sort clusters (Y descending for PDF coordinates, X ascending) + let mut h_sorted: Vec = h_clusters.to_vec(); + h_sorted.sort_by(|a, b| b.partial_cmp(a).unwrap_or(std::cmp::Ordering::Equal)); + + let mut v_sorted: Vec = v_clusters.to_vec(); + v_sorted.sort_by(|a, b| a.partial_cmp(b).unwrap_or(std::cmp::Ordering::Equal)); + + for (row_idx, h_pair) in h_sorted.windows(2).enumerate() { + for (col_idx, v_pair) in v_sorted.windows(2).enumerate() { + cells.push(GridCell { + row: row_idx, + col: col_idx, + x_min: v_pair[0], + x_max: v_pair[1], + y_min: h_pair[1], // Lower Y (remember PDF coords) + y_max: h_pair[0], // Higher Y + }); + } + } + + cells +} + +/// Assign text boxes to grid cells based on position. +fn assign_text_to_cells( + text_boxes: &[TextBox], + grid: &[GridCell], +) -> HashMap<(usize, usize), String> { + let mut cell_text: HashMap<(usize, usize), Vec> = HashMap::new(); + + for tbox in text_boxes { + let center_x = tbox.center_x(); + let center_y = tbox.center_y(); + + for cell in grid { + if center_x >= cell.x_min + && center_x <= cell.x_max + && center_y >= cell.y_min + && center_y <= cell.y_max + { + cell_text + .entry((cell.row, cell.col)) + .or_default() + .push(tbox.text.trim().to_string()); + break; + } + } + } + + // Join text fragments in each cell + cell_text + .into_iter() + .map(|(k, v)| (k, v.join(" "))) + .collect() +} + +/// Build an `ExtractedTable` from grid data. +fn build_table_from_grid( + grid: &[GridCell], + cell_contents: &HashMap<(usize, usize), String>, + page: u32, + source_file: &str, + _options: &TableExtractionOptions, +) -> Option { + if grid.is_empty() { + return None; + } + + let max_row = grid.iter().map(|c| c.row).max().unwrap_or(0); + let max_col = grid.iter().map(|c| c.col).max().unwrap_or(0); + + let n_rows = max_row + 1; + let n_cols = max_col + 1; + + // Build rows + let mut rows = Vec::with_capacity(n_rows); + for row_idx in 0..n_rows { + let mut cells = Vec::with_capacity(n_cols); + for col_idx in 0..n_cols { + let text = cell_contents + .get(&(row_idx, col_idx)) + .cloned() + .unwrap_or_default(); + cells.push(TableCell::new(text, col_idx)); + } + rows.push(TableRow::new(row_idx, page, cells)); + } + + // Detect headers (first row with content) + let mut headers = Vec::new(); + if let Some(first_row) = rows.first() { + headers = first_row + .cell_texts() + .iter() + .map(|s| (*s).to_string()) + .collect(); + if headers.iter().any(|h| !h.is_empty()) { + if let Some(row) = rows.first_mut() { + *row = std::mem::take(row).as_header(); + } + } + } + + let mut table = ExtractedTable::new(String::new(), source_file); + table.page_start = page; + table.page_end = page; + table.headers = headers; + table.n_cols = n_cols; + table.n_rows = rows.iter().filter(|r| !r.is_header_row).count(); + table.rows = rows; + table.detection_mode = DetectionMode::Lattice; + table.quality = TableQuality::High; // Lattice detection is most reliable + table.confidence_score = 0.9; + + Some(table) +} + +// ============================================================================ +// Stream Detection (Whitespace-Aligned Tables) +// ============================================================================ + +/// Extract tables using text alignment inference (Stream mode). +fn extract_stream_tables( + layouts: &[&PageLayout], + source_file: &str, + options: &TableExtractionOptions, +) -> Vec { + let mut tables = Vec::new(); + + for layout in layouts { + if layout.text_boxes.is_empty() { + continue; + } + + // Cluster text boxes into rows by Y-position + let rows = cluster_into_rows(&layout.text_boxes, options.row_clustering_threshold); + + if rows.len() < options.min_rows { + continue; + } + + // Detect column boundaries from X-positions + let col_boundaries = detect_column_boundaries(&rows, options.col_clustering_threshold); + + if col_boundaries.len() < options.min_cols + 1 { + continue; + } + + // Build table from detected structure + if let Some(table) = build_stream_table( + &rows, + &col_boundaries, + layout.page_number, + source_file, + options, + ) { + tables.push(table); + } + } + + tables +} + +/// Cluster text boxes into rows by Y-position. +fn cluster_into_rows(text_boxes: &[TextBox], threshold: f32) -> Vec> { + if text_boxes.is_empty() { + return Vec::new(); + } + + // Sort by Y-position (descending for PDF coordinates - top to bottom) + let mut sorted: Vec<&TextBox> = text_boxes.iter().collect(); + sorted.sort_by(|a, b| b.y.partial_cmp(&a.y).unwrap_or(std::cmp::Ordering::Equal)); + + let mut rows: Vec> = Vec::new(); + let mut current_row = vec![sorted[0]]; + let mut current_y = sorted[0].y; + + for tbox in &sorted[1..] { + if (current_y - tbox.y).abs() <= threshold { + current_row.push(tbox); + } else { + // Sort row by X-position (left to right) + current_row.sort_by(|a, b| a.x.partial_cmp(&b.x).unwrap_or(std::cmp::Ordering::Equal)); + rows.push(current_row); + current_row = vec![tbox]; + current_y = tbox.y; + } + } + + if !current_row.is_empty() { + current_row.sort_by(|a, b| a.x.partial_cmp(&b.x).unwrap_or(std::cmp::Ordering::Equal)); + rows.push(current_row); + } + + rows +} + +/// Detect column boundaries from consistent X-positions across rows. +fn detect_column_boundaries(rows: &[Vec<&TextBox>], threshold: f32) -> Vec { + // Collect all X-positions (left edges and right edges) + let mut x_positions: Vec = Vec::new(); + + for row in rows { + for tbox in row { + x_positions.push(tbox.x); + x_positions.push(tbox.right()); + } + } + + // Cluster X-positions + let candidates = cluster_values(&x_positions, threshold); + + // Filter to keep only boundaries that appear consistently + let min_occurrences = rows.len() / 2; + filter_consistent_boundaries(&candidates, rows, threshold, min_occurrences) +} + +/// Filter column boundaries to keep only those appearing consistently. +fn filter_consistent_boundaries( + candidates: &[f32], + rows: &[Vec<&TextBox>], + threshold: f32, + min_occurrences: usize, +) -> Vec { + candidates + .iter() + .filter(|&&boundary| { + let occurrences = rows + .iter() + .filter(|row| { + row.iter().any(|tbox| { + (tbox.x - boundary).abs() <= threshold + || (tbox.right() - boundary).abs() <= threshold + }) + }) + .count(); + occurrences >= min_occurrences + }) + .copied() + .collect() +} + +/// Build an `ExtractedTable` from stream-detected structure. +fn build_stream_table( + text_rows: &[Vec<&TextBox>], + col_boundaries: &[f32], + page: u32, + source_file: &str, + _options: &TableExtractionOptions, +) -> Option { + if text_rows.is_empty() || col_boundaries.len() < 2 { + return None; + } + + let n_cols = col_boundaries.len() - 1; + let mut rows = Vec::with_capacity(text_rows.len()); + + for (row_idx, text_row) in text_rows.iter().enumerate() { + let mut cells = vec![TableCell::new(String::new(), 0); n_cols]; + + for tbox in text_row { + let center_x = tbox.center_x(); + + // Find which column this text belongs to + for (col_idx, col_pair) in col_boundaries.windows(2).enumerate() { + if center_x >= col_pair[0] && center_x <= col_pair[1] { + // Append text to this cell + if !cells[col_idx].text.is_empty() { + cells[col_idx].text.push(' '); + } + cells[col_idx].text.push_str(tbox.text.trim()); + cells[col_idx].col_index = col_idx; + break; + } + } + } + + rows.push(TableRow::new(row_idx, page, cells)); + } + + // Detect headers (first row) + let mut headers = Vec::new(); + if let Some(first_row) = rows.first() { + headers = first_row + .cell_texts() + .iter() + .map(|s| (*s).to_string()) + .collect(); + // Check if first row looks like headers (non-empty, possibly different formatting) + let non_empty_count = headers.iter().filter(|h| !h.is_empty()).count(); + if non_empty_count > n_cols / 2 { + if let Some(row) = rows.first_mut() { + *row = std::mem::take(row).as_header(); + } + } + } + + // Calculate quality based on consistency + let (quality, confidence) = calculate_stream_quality(&rows, n_cols); + + let mut table = ExtractedTable::new(String::new(), source_file); + table.page_start = page; + table.page_end = page; + table.headers = headers; + table.n_cols = n_cols; + table.n_rows = rows.iter().filter(|r| !r.is_header_row).count(); + table.rows = rows; + table.detection_mode = DetectionMode::Stream; + table.quality = quality; + table.confidence_score = confidence; + + Some(table) +} + +/// Calculate quality score for stream-detected tables. +fn calculate_stream_quality(rows: &[TableRow], expected_cols: usize) -> (TableQuality, f32) { + if rows.is_empty() { + return (TableQuality::Low, 0.0); + } + + let mut score = 1.0f32; + + // Penalty for inconsistent column counts + let col_counts: Vec = rows + .iter() + .map(|r| r.cells.iter().filter(|c| !c.text.is_empty()).count()) + .collect(); + + let avg_cols = col_counts.iter().sum::() as f32 / col_counts.len() as f32; + let variance: f32 = col_counts + .iter() + .map(|&c| (c as f32 - avg_cols).powi(2)) + .sum::() + / col_counts.len() as f32; + + if variance > 1.0 { + score -= 0.2 * variance.min(2.0); + } + + // Penalty for many empty cells + let total_cells = rows.len() * expected_cols; + let empty_cells = rows + .iter() + .flat_map(|r| &r.cells) + .filter(|c| c.text.is_empty()) + .count(); + let empty_ratio = empty_cells as f32 / total_cells.max(1) as f32; + if empty_ratio > 0.3 { + score -= 0.2 * empty_ratio; + } + + // Penalty for few rows + if rows.len() < 4 { + score -= 0.1; + } + + // Stream detection inherently less reliable than Lattice + score -= 0.1; + + score = score.clamp(0.0, 1.0); + + let quality = if score >= 0.7 { + TableQuality::High + } else if score >= 0.4 { + TableQuality::Medium + } else { + TableQuality::Low + }; + + (quality, score) +} + +// ============================================================================ +// Line-Based Detection (Fallback for linearized PDF text) +// ============================================================================ + +/// A detected table region from line patterns. +#[derive(Debug)] +struct LineBasedTableRegion { + /// Header line (if detected) + header: Option, + /// Data rows as raw lines + data_lines: Vec, + /// Detected column count + col_count: usize, + /// Starting line index in the document (reserved for future use) + #[allow(dead_code)] + start_line: usize, +} + +/// Extract tables from linearized PDF text using line patterns. +/// +/// This fallback works when lopdf's text extraction returns each cell on +/// separate lines (common with wkhtmltopdf, some PDF generators). +/// It detects tables by identifying: +/// 1. Key-value patterns (Label followed by Value) +/// 2. Currency/numeric patterns common in invoices/pay stubs +/// 3. Section headers followed by consistent data rows +fn extract_line_based_tables( + bytes: &[u8], + source_file: &str, + options: &TableExtractionOptions, +) -> Vec { + // Extract raw text from PDF + let text = match extract_raw_text(bytes) { + Some(t) => t, + None => return Vec::new(), + }; + + let lines: Vec<&str> = text.lines().collect(); + if lines.len() < options.min_rows { + return Vec::new(); + } + + let mut tables = Vec::new(); + + // Detect table regions by identifying patterns + let regions = detect_table_regions(&lines, options); + + for region in regions { + if let Some(table) = build_line_based_table(region, source_file, options) { + tables.push(table); + } + } + + tables +} + +/// Extract raw text from PDF bytes using lopdf. +fn extract_raw_text(bytes: &[u8]) -> Option { + use lopdf::Document; + + let document = Document::load_mem(bytes).ok()?; + let pages = document.get_pages(); + let mut all_text = String::new(); + + for page_num in 1..=u32::try_from(pages.len()).unwrap_or(0) { + if let Ok(text) = document.extract_text(&[page_num]) { + all_text.push_str(&text); + all_text.push('\n'); + } + } + + if all_text.is_empty() { + None + } else { + Some(all_text) + } +} + +/// Detect table regions from line patterns. +fn detect_table_regions<'a>( + lines: &'a [&'a str], + options: &TableExtractionOptions, +) -> Vec { + let mut regions = Vec::new(); + + // Patterns for detecting table-like content + let currency_re = Regex::new(r"^\$?[\d,]+\.?\d*$").unwrap(); + let date_re = Regex::new(r"^\d{1,2}[/-]\d{1,2}[/-]\d{2,4}$").unwrap(); + let percent_re = Regex::new(r"^\d+\.?\d*%$").unwrap(); + let hours_re = Regex::new(r"^\d+\.?\d*\s*(hrs?|hours?)$").unwrap(); + + // Common table section headers (case-insensitive patterns) + let section_headers = [ + "earnings", + "deductions", + "taxes", + "withheld", + "summary", + "totals", + "gross", + "net", + "employee", + "employer", + "description", + "amount", + "rate", + "hours", + "pay", + "date", + "period", + "ytd", + "current", + "item", + "quantity", + "price", + "total", + "subtotal", + "invoice", + "bill", + ]; + + let mut i = 0; + while i < lines.len() { + let line = lines[i].trim(); + + // Skip empty lines + if line.is_empty() { + i += 1; + continue; + } + + // Check if this might be a table header + let line_lower = line.to_lowercase(); + let is_potential_header = section_headers.iter().any(|h| line_lower.contains(h)); + + if is_potential_header { + // Look for data rows following this header + let (region, consumed) = collect_table_region( + lines, + i, + Some(line.to_string()), + ¤cy_re, + &date_re, + &percent_re, + &hours_re, + options, + ); + + if let Some(r) = region { + if r.data_lines.len() >= options.min_rows { + regions.push(r); + } + } + + i += consumed.max(1); + } else { + // Check if current line looks like tabular data + let looks_like_data = + is_tabular_data_line(line, ¤cy_re, &date_re, &percent_re, &hours_re); + + if looks_like_data { + // Try to collect a table region without explicit header + let (region, consumed) = collect_table_region( + lines, + i, + None, + ¤cy_re, + &date_re, + &percent_re, + &hours_re, + options, + ); + + if let Some(r) = region { + if r.data_lines.len() >= options.min_rows { + regions.push(r); + } + } + + i += consumed.max(1); + } else { + i += 1; + } + } + } + + regions +} + +/// Check if a line looks like tabular data. +fn is_tabular_data_line( + line: &str, + currency_re: &Regex, + date_re: &Regex, + percent_re: &Regex, + hours_re: &Regex, +) -> bool { + let trimmed = line.trim(); + + // Check for currency values + if currency_re.is_match(trimmed) { + return true; + } + + // Check for dates + if date_re.is_match(trimmed) { + return true; + } + + // Check for percentages + if percent_re.is_match(trimmed) { + return true; + } + + // Check for hours + if hours_re.is_match(trimmed) { + return true; + } + + // Check for numeric values + if trimmed.parse::().is_ok() { + return true; + } + + false +} + +/// Collect consecutive lines that form a table region. +fn collect_table_region( + lines: &[&str], + start: usize, + header: Option, + currency_re: &Regex, + date_re: &Regex, + _percent_re: &Regex, + _hours_re: &Regex, + options: &TableExtractionOptions, +) -> (Option, usize) { + let mut data_lines = Vec::new(); + let mut i = if header.is_some() { start + 1 } else { start }; + let mut consecutive_non_data = 0; + let max_gap = 2; // Allow small gaps in data + + while i < lines.len() && consecutive_non_data <= max_gap { + let line = lines[i].trim(); + + if line.is_empty() { + consecutive_non_data += 1; + i += 1; + continue; + } + + // Check if this is a new section header (end of current table) + let line_lower = line.to_lowercase(); + let is_new_section = ["earnings", "deductions", "taxes", "summary", "totals"] + .iter() + .any(|h| line_lower.starts_with(h) && !data_lines.is_empty()); + + if is_new_section { + break; + } + + // Collect the line as data + data_lines.push(line.to_string()); + consecutive_non_data = 0; + i += 1; + } + + let consumed = i - start; + + if data_lines.len() < options.min_rows { + return (None, consumed); + } + + // Try to determine column structure + let col_count = infer_column_count(&data_lines, currency_re, date_re); + + if col_count < options.min_cols { + return (None, consumed); + } + + ( + Some(LineBasedTableRegion { + header, + data_lines, + col_count, + start_line: start, + }), + consumed, + ) +} + +/// Infer the number of columns from data patterns. +fn infer_column_count(lines: &[String], currency_re: &Regex, _date_re: &Regex) -> usize { + // For key-value style tables (common in pay stubs), assume 2 columns + // Look for patterns: Label on one line, Value on next + + let mut consecutive_label_value = 0; + let mut i = 0; + + while i + 1 < lines.len() { + let line1 = lines[i].trim(); + let line2 = lines[i + 1].trim(); + + // Check if line1 is a label (text) and line2 is a value (numeric/currency) + let line1_is_label = + !line1.is_empty() && !currency_re.is_match(line1) && line1.parse::().is_err(); + + let line2_is_value = + currency_re.is_match(line2) || line2.parse::().is_ok() || line2.contains('$'); + + if line1_is_label && line2_is_value { + consecutive_label_value += 1; + } + + i += 2; + } + + // If we found many label-value pairs, it's a 2-column table + if consecutive_label_value >= 3 { + return 2; + } + + // Default: single column (or need more sophisticated analysis) + // Check if lines contain tab or multiple spaces for column detection + let mut max_parts = 1; + for line in lines { + let parts: Vec<&str> = line.split('\t').collect(); + if parts.len() > max_parts { + max_parts = parts.len(); + } + + // Also check for " " (double space) separation + let space_parts: Vec<&str> = line.split(" ").filter(|s| !s.is_empty()).collect(); + if space_parts.len() > max_parts { + max_parts = space_parts.len(); + } + } + + max_parts.max(2) // Assume at least 2 columns for table detection +} + +/// Build an `ExtractedTable` from a line-based region. +fn build_line_based_table( + region: LineBasedTableRegion, + source_file: &str, + _options: &TableExtractionOptions, +) -> Option { + if region.data_lines.is_empty() { + return None; + } + + let mut rows = Vec::new(); + let mut headers = Vec::new(); + + // If we have a header, use it + if let Some(ref h) = region.header { + headers = vec![h.clone(), "Value".to_string()]; + let header_row = TableRow::new( + 0, + 1, + vec![ + TableCell::new(h.clone(), 0).as_header(), + TableCell::new("Value", 1).as_header(), + ], + ) + .as_header(); + rows.push(header_row); + } + + // Group lines into rows (label + value pairs for 2-col tables) + let mut row_idx = rows.len(); + let currency_re = Regex::new(r"^\$?[\d,]+\.?\d*$").unwrap(); + + let mut i = 0; + while i < region.data_lines.len() { + let line1 = region.data_lines[i].trim(); + + // Try to detect label-value pair + let is_label = !currency_re.is_match(line1) && line1.parse::().is_err(); + + if is_label && i + 1 < region.data_lines.len() { + let line2 = region.data_lines[i + 1].trim(); + let is_value = + currency_re.is_match(line2) || line2.parse::().is_ok() || line2.contains('$'); + + if is_value { + // Create 2-column row + let cells = vec![TableCell::new(line1, 0), TableCell::new(line2, 1)]; + rows.push(TableRow::new(row_idx, 1, cells)); + row_idx += 1; + i += 2; + continue; + } + } + + // Single cell row + let cells = vec![TableCell::new(line1, 0)]; + rows.push(TableRow::new(row_idx, 1, cells)); + row_idx += 1; + i += 1; + } + + if rows.is_empty() { + return None; + } + + // Set default headers if not already set + if headers.is_empty() { + headers = vec!["Label".to_string(), "Value".to_string()]; + } + + let n_cols = region.col_count.max(2); + let n_rows = rows.iter().filter(|r| !r.is_header_row).count(); + + let mut table = ExtractedTable::new(String::new(), source_file); + table.page_start = 1; + table.page_end = 1; + table.headers = headers; + table.n_cols = n_cols; + table.n_rows = n_rows; + table.rows = rows; + table.detection_mode = DetectionMode::LineBased; + table.quality = TableQuality::Medium; // Lower confidence for line-based + table.confidence_score = 0.6; + + Some(table) +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_cluster_into_rows() { + let boxes = vec![ + TextBox { + text: "A".to_string(), + x: 10.0, + y: 100.0, + width: 20.0, + height: 10.0, + font_size: 12.0, + page: 1, + }, + TextBox { + text: "B".to_string(), + x: 50.0, + y: 100.0, + width: 20.0, + height: 10.0, + font_size: 12.0, + page: 1, + }, + TextBox { + text: "C".to_string(), + x: 10.0, + y: 80.0, + width: 20.0, + height: 10.0, + font_size: 12.0, + page: 1, + }, + ]; + + let rows = cluster_into_rows(&boxes, 5.0); + assert_eq!(rows.len(), 2); + assert_eq!(rows[0].len(), 2); // A and B on same row + assert_eq!(rows[1].len(), 1); // C on second row + } + + #[test] + fn test_build_grid_cells() { + let h_clusters = vec![100.0, 80.0, 60.0]; + let v_clusters = vec![10.0, 50.0, 90.0]; + + let grid = build_grid_cells(&h_clusters, &v_clusters); + assert_eq!(grid.len(), 4); // 2 rows × 2 cols + } + + #[test] + fn test_stream_quality_calculation() { + let rows = vec![ + TableRow::new( + 0, + 1, + vec![ + TableCell::new("A", 0), + TableCell::new("B", 1), + TableCell::new("C", 2), + ], + ), + TableRow::new( + 1, + 1, + vec![ + TableCell::new("1", 0), + TableCell::new("2", 1), + TableCell::new("3", 2), + ], + ), + ]; + + let (quality, score) = calculate_stream_quality(&rows, 3); + assert!(score > 0.5); + assert!(matches!(quality, TableQuality::Medium | TableQuality::High)); + } +} diff --git a/src/table/storage.rs b/src/table/storage.rs new file mode 100644 index 0000000..4c4c5b2 --- /dev/null +++ b/src/table/storage.rs @@ -0,0 +1,656 @@ +// Safe unwrap/expect: JSON value access with fallback defaults. +#![allow(clippy::unwrap_used, clippy::expect_used)] +//! MV2 storage integration for extracted tables. +//! +//! This module handles storing and retrieving tables from MV2 files +//! using the existing frame and track infrastructure. + +use std::collections::BTreeMap; + +use serde_json::json; + +use super::types::{ExtractedTable, TableQuality, TableSummary}; +use crate::VecEmbedder; +use crate::error::{MemvidError, Result}; +use crate::memvid::Memvid; +use crate::types::embedding_identity::{ + EmbeddingIdentity, MEMVID_EMBEDDING_DIMENSION_KEY, MEMVID_EMBEDDING_MODEL_KEY, + MEMVID_EMBEDDING_NORMALIZED_KEY, MEMVID_EMBEDDING_PROVIDER_KEY, +}; +use crate::types::{FrameId, PutOptions}; + +/// Track name used for table frames. +pub const TABLE_TRACK: &str = "tables"; + +/// Kind value for table metadata frames. +pub const TABLE_META_KIND: &str = "table_meta"; + +/// Kind value for table row frames. +pub const TABLE_ROW_KIND: &str = "table_row"; + +/// Store an extracted table in the MV2 file. +/// +/// Creates two types of frames: +/// 1. A `table_meta` frame containing table metadata and structure +/// 2. Multiple `table_row` frames containing individual row data +/// +/// # Arguments +/// * `mem` - The Memvid instance to store in +/// * `table` - The extracted table to store +/// * `embed_rows` - Whether to generate embeddings for row frames +/// +/// # Returns +/// A tuple of (`meta_frame_id`, `row_frame_ids`) +pub fn store_table( + mem: &mut Memvid, + table: &ExtractedTable, + embed_rows: bool, +) -> Result<(FrameId, Vec)> { + store_table_impl(mem, table, embed_rows, None, None) +} + +/// Store an extracted table in the MV2 file, embedding rows when an embedder is provided. +/// +/// This is an ingestion-helper API for frontends (CLI / bindings). memvid-core does not ship +/// with a built-in text embedding runtime; callers must provide an embedder if they want row +/// embeddings (for semantic search). +pub fn store_table_with_embedder( + mem: &mut Memvid, + table: &ExtractedTable, + embed_rows: bool, + embedder: Option<&dyn VecEmbedder>, + embedding_identity: Option<&EmbeddingIdentity>, +) -> Result<(FrameId, Vec)> { + store_table_impl(mem, table, embed_rows, embedder, embedding_identity) +} + +fn store_table_impl( + mem: &mut Memvid, + table: &ExtractedTable, + embed_rows: bool, + embedder: Option<&dyn VecEmbedder>, + embedding_identity: Option<&EmbeddingIdentity>, +) -> Result<(FrameId, Vec)> { + let table_id = &table.table_id; + + // 1. Create table_meta frame + let meta_payload = serde_json::to_vec(&json!({ + "table_id": table_id, + "source_file": table.source_file, + "source_uri": table.source_uri, + "page_start": table.page_start, + "page_end": table.page_end, + "headers": table.headers, + "n_rows": table.n_rows, + "n_cols": table.n_cols, + "quality": table.quality.to_string(), + "detection_mode": table.detection_mode.to_string(), + "confidence_score": table.confidence_score, + "warnings": table.warnings, + "extraction_ms": table.extraction_ms, + })) + .map_err(|e| MemvidError::TableExtraction { + reason: format!("failed to serialize table metadata: {e}"), + })?; + + let mut meta_extra: BTreeMap = BTreeMap::new(); + meta_extra.insert("table_id".to_string(), table_id.clone()); + meta_extra.insert("n_rows".to_string(), table.n_rows.to_string()); + meta_extra.insert("n_cols".to_string(), table.n_cols.to_string()); + meta_extra.insert("page_start".to_string(), table.page_start.to_string()); + meta_extra.insert("page_end".to_string(), table.page_end.to_string()); + meta_extra.insert("quality".to_string(), table.quality.to_string()); + meta_extra.insert( + "detection_mode".to_string(), + table.detection_mode.to_string(), + ); + + // Serialize headers for searchability + if let Ok(headers_json) = serde_json::to_string(&table.headers) { + meta_extra.insert("headers_json".to_string(), headers_json); + } + + let meta_options = PutOptions { + timestamp: None, + track: Some(TABLE_TRACK.to_string()), + kind: Some(TABLE_META_KIND.to_string()), + uri: Some(format!("mv2://tables/{table_id}")), + title: Some(format!( + "Table from {} (pages {}-{})", + table.source_file, table.page_start, table.page_end + )), + metadata: None, + search_text: Some(table.to_search_text()), + tags: vec![ + "table".to_string(), + table.source_file.clone(), + format!("{}_quality", table.quality), + ], + labels: vec![format!("{}_detected", table.detection_mode)], + extra_metadata: meta_extra, + enable_embedding: false, // Don't embed metadata frame + auto_tag: false, + extract_dates: false, + extract_triplets: false, // Table metadata doesn't need triplet extraction + parent_id: None, + role: crate::FrameRole::default(), + no_raw: false, + source_path: None, + dedup: false, + instant_index: false, // Tables are batch operations, commit at end + extraction_budget_ms: 0, // No budget for table metadata + }; + + let meta_frame_id = mem.next_frame_id(); + mem.put_bytes_with_options(&meta_payload, meta_options)?; + + // 2. Create table_row frames + let mut row_frame_ids = Vec::with_capacity(table.rows.len()); + + for row in &table.rows { + // Skip header rows for storage (info is in headers field) + if row.is_header_row { + continue; + } + + // Build cell map: header -> value + let cell_map: serde_json::Map = table + .headers + .iter() + .enumerate() + .filter_map(|(i, header)| { + row.cells + .get(i) + .map(|cell| (header.clone(), serde_json::Value::String(cell.text.clone()))) + }) + .collect(); + + let row_payload = serde_json::to_vec(&json!({ + "table_id": table_id, + "row_index": row.row_index, + "page": row.page, + "cells": cell_map, + })) + .map_err(|e| MemvidError::TableExtraction { + reason: format!("failed to serialize row data: {e}"), + })?; + + // Generate searchable text from row + let search_text: String = row + .cells + .iter() + .map(|c| c.text.as_str()) + .collect::>() + .join(" "); + + let mut row_extra: BTreeMap = BTreeMap::new(); + row_extra.insert("table_id".to_string(), table_id.clone()); + row_extra.insert("row_index".to_string(), row.row_index.to_string()); + row_extra.insert("page".to_string(), row.page.to_string()); + row_extra.insert("parent_frame".to_string(), meta_frame_id.to_string()); + + let mut row_options = PutOptions { + timestamp: None, + track: Some(TABLE_TRACK.to_string()), + kind: Some(TABLE_ROW_KIND.to_string()), + uri: Some(format!("mv2://tables/{}/row/{}", table_id, row.row_index)), + title: None, + metadata: None, + search_text: Some(search_text), + tags: vec!["table_row".to_string(), table_id.clone()], + labels: Vec::new(), + extra_metadata: row_extra, + enable_embedding: embed_rows, + auto_tag: false, + extract_dates: true, // Extract dates from cell values + extract_triplets: false, // Table rows don't need triplet extraction + parent_id: None, + role: crate::FrameRole::default(), + no_raw: false, + source_path: None, + dedup: false, + instant_index: false, // Tables are batch operations, commit at end + extraction_budget_ms: 0, // No budget for table rows + }; + + let should_embed = embed_rows && embedder.is_some(); + if should_embed { + let embedder = embedder.expect("checked above"); + let text = row_options.search_text.as_deref().unwrap_or_default(); + let embedding = embedder.embed_query(text)?; + + if let Some(identity) = embedding_identity { + if let Some(provider) = identity.provider.as_deref() { + row_options.extra_metadata.insert( + MEMVID_EMBEDDING_PROVIDER_KEY.to_string(), + provider.to_string(), + ); + } + if let Some(model) = identity.model.as_deref() { + row_options + .extra_metadata + .insert(MEMVID_EMBEDDING_MODEL_KEY.to_string(), model.to_string()); + } + if let Some(dimension) = identity.dimension { + row_options.extra_metadata.insert( + MEMVID_EMBEDDING_DIMENSION_KEY.to_string(), + dimension.to_string(), + ); + } else { + row_options.extra_metadata.insert( + MEMVID_EMBEDDING_DIMENSION_KEY.to_string(), + embedding.len().to_string(), + ); + } + if let Some(normalized) = identity.normalized { + row_options.extra_metadata.insert( + MEMVID_EMBEDDING_NORMALIZED_KEY.to_string(), + normalized.to_string(), + ); + } + } else { + row_options.extra_metadata.insert( + MEMVID_EMBEDDING_DIMENSION_KEY.to_string(), + embedding.len().to_string(), + ); + } + + let row_frame_id = mem.next_frame_id(); + mem.put_with_embedding_and_options(&row_payload, embedding, row_options)?; + row_frame_ids.push(row_frame_id); + } else { + let row_frame_id = mem.next_frame_id(); + mem.put_bytes_with_options(&row_payload, row_options)?; + row_frame_ids.push(row_frame_id); + } + } + + Ok((meta_frame_id, row_frame_ids)) +} + +/// List all tables stored in an MV2 file. +/// +/// # Arguments +/// * `mem` - The Memvid instance to read from (mutable due to internal caching) +/// +/// # Returns +/// Vector of table summaries +pub fn list_tables(mem: &mut Memvid) -> Result> { + // First, collect the frame IDs that are table_meta frames + let meta_frame_ids: Vec = mem + .toc + .frames + .iter() + .enumerate() + .filter(|(_, frame)| frame.kind.as_deref() == Some(TABLE_META_KIND)) + .map(|(id, _)| id as FrameId) + .collect(); + + let mut summaries = Vec::new(); + + // Now iterate over the collected frame IDs + for frame_id in meta_frame_ids { + // Read frame payload + let payload_bytes = mem.frame_canonical_payload(frame_id)?; + let payload = String::from_utf8_lossy(&payload_bytes); + let meta: serde_json::Value = + serde_json::from_str(&payload).map_err(|e| MemvidError::TableExtraction { + reason: format!("failed to parse table metadata: {e}"), + })?; + + let table_id = meta["table_id"].as_str().unwrap_or("unknown").to_string(); + let source_file = meta["source_file"] + .as_str() + .unwrap_or("unknown") + .to_string(); + let page_start = meta["page_start"].as_u64().unwrap_or(0); + let page_end = meta["page_end"].as_u64().unwrap_or(0); + // Safe: table dimensions fit throughout supported platforms + #[allow(clippy::cast_possible_truncation)] + let n_rows = meta["n_rows"].as_u64().unwrap_or(0) as usize; + #[allow(clippy::cast_possible_truncation)] + let n_cols = meta["n_cols"].as_u64().unwrap_or(0) as usize; + let quality = meta["quality"].as_str().unwrap_or("unknown").to_string(); + let headers = meta["headers"] + .as_array() + .map(|arr| { + arr.iter() + .filter_map(|v| v.as_str()) + .map(String::from) + .collect() + }) + .unwrap_or_default(); + + summaries.push(TableSummary { + table_id, + source_file, + page_start: u32::try_from(page_start).unwrap_or(0), + page_end: u32::try_from(page_end).unwrap_or(0), + n_rows, + n_cols, + quality: quality.parse().unwrap_or(TableQuality::Medium), + headers, + frame_id, + }); + } + + Ok(summaries) +} + +/// Get a table by its ID. +/// +/// # Arguments +/// * `mem` - The Memvid instance to read from (mutable due to internal caching) +/// * `table_id` - The table ID to look up +/// +/// # Returns +/// The reconstructed `ExtractedTable` if found +pub fn get_table(mem: &mut Memvid, table_id: &str) -> Result> { + // First, find the meta frame ID by scanning frames + let meta_frame_id: Option = mem + .toc + .frames + .iter() + .enumerate() + .find(|(_, f)| { + f.kind.as_deref() == Some(TABLE_META_KIND) + && f.extra_metadata + .get("table_id") + .is_some_and(|id| id == table_id) + }) + .map(|(id, _)| id as FrameId); + + let meta_frame_id = match meta_frame_id { + Some(id) => id, + None => return Ok(None), + }; + + // Read metadata + let payload_bytes = mem.frame_canonical_payload(meta_frame_id)?; + let payload = String::from_utf8_lossy(&payload_bytes); + let meta: serde_json::Value = + serde_json::from_str(&payload).map_err(|e| MemvidError::TableExtraction { + reason: format!("failed to parse table metadata: {e}"), + })?; + + // Reconstruct table + let mut table = ExtractedTable::new( + meta["table_id"].as_str().unwrap_or(""), + meta["source_file"].as_str().unwrap_or(""), + ); + + table.source_uri = meta["source_uri"].as_str().map(String::from); + table.page_start = u32::try_from(meta["page_start"].as_u64().unwrap_or(1)).unwrap_or(1); + #[allow(clippy::cast_possible_truncation)] + { + table.page_end = meta["page_end"].as_u64().unwrap_or(1) as u32; + } + #[allow(clippy::cast_possible_truncation)] + { + table.n_cols = meta["n_cols"].as_u64().unwrap_or(0) as usize; + table.n_rows = meta["n_rows"].as_u64().unwrap_or(0) as usize; + } + #[allow(clippy::cast_possible_truncation)] + { + table.confidence_score = meta["confidence_score"].as_f64().unwrap_or(0.5) as f32; + } + table.extraction_ms = meta["extraction_ms"].as_u64().unwrap_or(0); + + table.headers = meta["headers"] + .as_array() + .map(|arr| { + arr.iter() + .filter_map(|v| v.as_str()) + .map(String::from) + .collect() + }) + .unwrap_or_default(); + + table.warnings = meta["warnings"] + .as_array() + .map(|arr| { + arr.iter() + .filter_map(|v| v.as_str()) + .map(String::from) + .collect() + }) + .unwrap_or_default(); + + table.quality = meta["quality"] + .as_str() + .and_then(|s| s.parse().ok()) + .unwrap_or(TableQuality::Medium); + + // Find row frame IDs and their row indices (collect both to avoid borrow issues) + let mut row_frame_ids: Vec<(FrameId, usize)> = mem + .toc + .frames + .iter() + .enumerate() + .filter(|(_, f)| { + f.kind.as_deref() == Some(TABLE_ROW_KIND) + && f.extra_metadata + .get("table_id") + .is_some_and(|id| id == table_id) + }) + .map(|(id, f)| { + let row_index = f + .extra_metadata + .get("row_index") + .and_then(|s| s.parse::().ok()) + .unwrap_or(0); + (id as FrameId, row_index) + }) + .collect(); + + // Sort by row_index + row_frame_ids.sort_by_key(|(_, row_index)| *row_index); + + // Now read each row frame + for (frame_id, _) in row_frame_ids { + let row_payload_bytes = mem.frame_canonical_payload(frame_id)?; + let row_payload = String::from_utf8_lossy(&row_payload_bytes); + let row_data: serde_json::Value = + serde_json::from_str(&row_payload).map_err(|e| MemvidError::TableExtraction { + reason: format!("failed to parse row data: {e}"), + })?; + + #[allow(clippy::cast_possible_truncation)] + let row_index = row_data["row_index"].as_u64().unwrap_or(0) as usize; + #[allow(clippy::cast_possible_truncation)] + let page = row_data["page"].as_u64().unwrap_or(1) as u32; + + let cells: Vec = + if let Some(cell_map) = row_data["cells"].as_object() { + table + .headers + .iter() + .enumerate() + .map(|(col_idx, header)| { + let text = cell_map + .get(header) + .and_then(|v| v.as_str()) + .unwrap_or("") + .to_string(); + super::types::TableCell::new(text, col_idx) + }) + .collect() + } else { + Vec::new() + }; + + table + .rows + .push(super::types::TableRow::new(row_index, page, cells)); + } + + Ok(Some(table)) +} + +/// Export a table to CSV format. +/// +/// # Arguments +/// * `table` - The table to export +/// +/// # Returns +/// CSV formatted string +#[must_use] +pub fn export_to_csv(table: &ExtractedTable) -> String { + let mut output = String::new(); + + // Write headers + if !table.headers.is_empty() { + let header_line: Vec = table.headers.iter().map(|h| escape_csv_field(h)).collect(); + output.push_str(&header_line.join(",")); + output.push('\n'); + } + + // Write data rows + for row in &table.rows { + if row.is_header_row { + continue; + } + + let row_line: Vec = row + .cells + .iter() + .map(|c| escape_csv_field(&c.text)) + .collect(); + output.push_str(&row_line.join(",")); + output.push('\n'); + } + + output +} + +/// Escape a field for CSV output. +fn escape_csv_field(field: &str) -> String { + if field.contains(',') || field.contains('"') || field.contains('\n') { + format!("\"{}\"", field.replace('"', "\"\"")) + } else { + field.to_string() + } +} + +/// Export a table to JSON format. +/// +/// # Arguments +/// * `table` - The table to export +/// * `as_records` - If true, export as array of records; if false, as columns +/// +/// # Returns +/// JSON formatted string +pub fn export_to_json(table: &ExtractedTable, as_records: bool) -> Result { + if as_records { + // Array of {header: value} objects + let records: Vec = table + .data_rows() + .iter() + .map(|row| { + let mut obj = serde_json::Map::new(); + for (i, header) in table.headers.iter().enumerate() { + let value = row.cells.get(i).map(|c| c.text.clone()).unwrap_or_default(); + obj.insert(header.clone(), serde_json::Value::String(value)); + } + serde_json::Value::Object(obj) + }) + .collect(); + + serde_json::to_string_pretty(&records).map_err(|e| MemvidError::TableExtraction { + reason: format!("failed to serialize to JSON: {e}"), + }) + } else { + // Full table structure + serde_json::to_string_pretty(table).map_err(|e| MemvidError::TableExtraction { + reason: format!("failed to serialize to JSON: {e}"), + }) + } +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::table::types::{DetectionMode, TableCell, TableRow}; + + fn make_test_table() -> ExtractedTable { + let mut table = ExtractedTable::new("test_001", "test.pdf"); + table.headers = vec!["Name".to_string(), "Age".to_string(), "City".to_string()]; + table.n_cols = 3; + table.page_start = 1; + table.page_end = 1; + table.detection_mode = DetectionMode::Lattice; + table.quality = TableQuality::High; + + // Add header row + let header_cells = vec![ + TableCell::new("Name", 0).as_header(), + TableCell::new("Age", 1).as_header(), + TableCell::new("City", 2).as_header(), + ]; + table + .rows + .push(TableRow::new(0, 1, header_cells).as_header()); + + // Add data rows + table.rows.push(TableRow::new( + 1, + 1, + vec![ + TableCell::new("Alice", 0), + TableCell::new("30", 1), + TableCell::new("New York", 2), + ], + )); + table.rows.push(TableRow::new( + 2, + 1, + vec![ + TableCell::new("Bob", 0), + TableCell::new("25", 1), + TableCell::new("Los Angeles", 2), + ], + )); + + table.n_rows = 2; + table + } + + #[test] + fn test_export_to_csv() { + let table = make_test_table(); + let csv = export_to_csv(&table); + + assert!(csv.contains("Name,Age,City")); + assert!(csv.contains("Alice,30,New York")); + assert!(csv.contains("Bob,25,Los Angeles")); + } + + #[test] + fn test_csv_escaping() { + assert_eq!(escape_csv_field("simple"), "simple"); + assert_eq!(escape_csv_field("with,comma"), "\"with,comma\""); + assert_eq!(escape_csv_field("with\"quote"), "\"with\"\"quote\""); + assert_eq!(escape_csv_field("with\nnewline"), "\"with\nnewline\""); + } + + #[test] + fn test_export_to_json_records() { + let table = make_test_table(); + let json = export_to_json(&table, true).unwrap(); + + let parsed: Vec = serde_json::from_str(&json).unwrap(); + assert_eq!(parsed.len(), 2); + assert_eq!(parsed[0]["Name"], "Alice"); + assert_eq!(parsed[0]["Age"], "30"); + } + + #[test] + fn test_export_to_json_full() { + let table = make_test_table(); + let json = export_to_json(&table, false).unwrap(); + + let parsed: ExtractedTable = serde_json::from_str(&json).unwrap(); + assert_eq!(parsed.table_id, "test_001"); + assert_eq!(parsed.headers.len(), 3); + } +} diff --git a/src/table/types.rs b/src/table/types.rs new file mode 100644 index 0000000..7e3159d --- /dev/null +++ b/src/table/types.rs @@ -0,0 +1,561 @@ +//! Core types for table extraction and storage. +//! +//! This module defines the data structures used to represent extracted tables, +//! their quality metrics, and configuration options. + +use serde::{Deserialize, Serialize}; +use std::collections::BTreeMap; + +/// Quality tier for extracted tables. +/// +/// Tables are classified by confidence in extraction accuracy: +/// - `High`: Ruled tables with clear grid structure, or native format tables +/// - `Medium`: Stream-detected tables with consistent alignment +/// - `Low`: Uncertain extraction, possibly fragmented or incomplete +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize, Default)] +#[serde(rename_all = "lowercase")] +pub enum TableQuality { + High, + #[default] + Medium, + Low, +} + +impl std::fmt::Display for TableQuality { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + match self { + Self::High => write!(f, "high"), + Self::Medium => write!(f, "medium"), + Self::Low => write!(f, "low"), + } + } +} + +impl std::str::FromStr for TableQuality { + type Err = String; + + fn from_str(s: &str) -> Result { + match s.to_lowercase().as_str() { + "high" => Ok(Self::High), + "medium" => Ok(Self::Medium), + "low" => Ok(Self::Low), + _ => Err(format!("unknown table quality: {s}")), + } + } +} + +/// Detection method used to extract the table. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize, Default)] +#[serde(rename_all = "lowercase")] +pub enum DetectionMode { + /// Grid lines detected (ruled tables) + Lattice, + /// Whitespace/alignment inferred (no visible borders) + #[default] + Stream, + /// Native structure from document format (XLSX, DOCX, HTML) + Native, + /// Line-pattern based detection (for linearized PDF text) + LineBased, +} + +impl std::fmt::Display for DetectionMode { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + match self { + Self::Lattice => write!(f, "lattice"), + Self::Stream => write!(f, "stream"), + Self::Native => write!(f, "native"), + Self::LineBased => write!(f, "line_based"), + } + } +} + +/// A single cell in a table. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct TableCell { + /// Text content of the cell (trimmed) + pub text: String, + /// Column index (0-based) + pub col_index: usize, + /// Number of rows this cell spans (for merged cells) + #[serde(default = "default_span")] + pub row_span: usize, + /// Number of columns this cell spans (for merged cells) + #[serde(default = "default_span")] + pub col_span: usize, + /// Whether this cell is part of a header row + #[serde(default)] + pub is_header: bool, +} + +fn default_span() -> usize { + 1 +} + +impl TableCell { + /// Create a new simple cell with text content. + #[must_use] + pub fn new(text: impl Into, col_index: usize) -> Self { + Self { + text: text.into(), + col_index, + row_span: 1, + col_span: 1, + is_header: false, + } + } + + /// Mark this cell as a header cell. + #[must_use] + pub fn as_header(mut self) -> Self { + self.is_header = true; + self + } +} + +/// A single row in a table. +#[derive(Debug, Clone, Default, Serialize, Deserialize)] +pub struct TableRow { + /// Row index within the table (0-based) + pub row_index: usize, + /// Source page number (1-indexed for display) + pub page: u32, + /// Cells in this row + pub cells: Vec, + /// Whether this is a header row + #[serde(default)] + pub is_header_row: bool, +} + +impl TableRow { + /// Create a new row with the given cells. + #[must_use] + pub fn new(row_index: usize, page: u32, cells: Vec) -> Self { + Self { + row_index, + page, + cells, + is_header_row: false, + } + } + + /// Mark this row as a header row. + #[must_use] + pub fn as_header(mut self) -> Self { + self.is_header_row = true; + for cell in &mut self.cells { + cell.is_header = true; + } + self + } + + /// Get the text content of all cells as a vector. + #[must_use] + pub fn cell_texts(&self) -> Vec<&str> { + self.cells.iter().map(|c| c.text.as_str()).collect() + } +} + +/// Complete extracted table with metadata. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct ExtractedTable { + /// Unique identifier for this table (UUID or hash-based) + pub table_id: String, + /// Original source filename + pub source_file: String, + /// URI of the source frame (if from existing MV2 content) + pub source_uri: Option, + + // Page span + /// Starting page number (1-indexed) + pub page_start: u32, + /// Ending page number (1-indexed, inclusive) + pub page_end: u32, + + // Structure + /// Column headers (if detected) + pub headers: Vec, + /// All rows including header rows + pub rows: Vec, + /// Number of columns + pub n_cols: usize, + /// Number of rows (excluding header) + pub n_rows: usize, + + // Quality metadata + /// Quality assessment of extraction + pub quality: TableQuality, + /// Detection method used + pub detection_mode: DetectionMode, + /// Confidence score (0.0-1.0) + pub confidence_score: f32, + + // Extraction diagnostics + /// Warnings generated during extraction + pub warnings: Vec, + /// Time taken for extraction in milliseconds + pub extraction_ms: u64, +} + +impl ExtractedTable { + /// Create a new table with minimal required fields. + #[must_use] + pub fn new(table_id: impl Into, source_file: impl Into) -> Self { + Self { + table_id: table_id.into(), + source_file: source_file.into(), + source_uri: None, + page_start: 1, + page_end: 1, + headers: Vec::new(), + rows: Vec::new(), + n_cols: 0, + n_rows: 0, + quality: TableQuality::Medium, + detection_mode: DetectionMode::Stream, + confidence_score: 0.5, + warnings: Vec::new(), + extraction_ms: 0, + } + } + + /// Build a map of header name to cell value for a given row. + #[must_use] + pub fn row_as_map(&self, row: &TableRow) -> BTreeMap { + let mut map = BTreeMap::new(); + for (i, header) in self.headers.iter().enumerate() { + let value = row.cells.get(i).map(|c| c.text.clone()).unwrap_or_default(); + map.insert(header.clone(), value); + } + map + } + + /// Get all data rows (excluding header rows). + #[must_use] + pub fn data_rows(&self) -> Vec<&TableRow> { + self.rows.iter().filter(|r| !r.is_header_row).collect() + } + + /// Check if the table spans multiple pages. + #[must_use] + pub fn is_multi_page(&self) -> bool { + self.page_end > self.page_start + } + + /// Generate searchable text from all cells. + #[must_use] + pub fn to_search_text(&self) -> String { + let mut parts = Vec::new(); + + // Include headers + if !self.headers.is_empty() { + parts.push(self.headers.join(" ")); + } + + // Include all cell text + for row in &self.rows { + for cell in &row.cells { + if !cell.text.is_empty() { + parts.push(cell.text.clone()); + } + } + } + + parts.join(" ") + } +} + +/// Options for table extraction. +#[derive(Debug, Clone)] +pub struct TableExtractionOptions { + /// Extraction mode (conservative, aggressive, etc.) + pub mode: ExtractionMode, + /// Minimum rows to consider a valid table + pub min_rows: usize, + /// Minimum columns to consider a valid table + pub min_cols: usize, + /// Minimum quality threshold for output + pub min_quality: TableQuality, + /// Whether to merge tables spanning multiple pages + pub merge_multi_page: bool, + /// Y-position tolerance for row clustering (in points) + pub row_clustering_threshold: f32, + /// X-position tolerance for column clustering (in points) + pub col_clustering_threshold: f32, + /// Similarity threshold for merging multi-page tables (0.0-1.0) + pub header_similarity_threshold: f32, + /// Maximum pages to process (0 = unlimited) + pub max_pages: usize, +} + +impl Default for TableExtractionOptions { + fn default() -> Self { + Self { + mode: ExtractionMode::default(), + min_rows: 2, + min_cols: 2, + min_quality: TableQuality::Medium, + merge_multi_page: true, + row_clustering_threshold: 5.0, + col_clustering_threshold: 10.0, + header_similarity_threshold: 0.8, + max_pages: 0, // unlimited + } + } +} + +impl TableExtractionOptions { + /// Create a builder for table extraction options. + #[must_use] + pub fn builder() -> TableExtractionOptionsBuilder { + TableExtractionOptionsBuilder::default() + } +} + +/// Builder for `TableExtractionOptions`. +#[derive(Debug, Clone, Default)] +pub struct TableExtractionOptionsBuilder { + inner: TableExtractionOptions, +} + +impl TableExtractionOptionsBuilder { + /// Set the extraction mode. + #[must_use] + pub fn mode(mut self, mode: ExtractionMode) -> Self { + self.inner.mode = mode; + self + } + + /// Set minimum rows threshold. + #[must_use] + pub fn min_rows(mut self, n: usize) -> Self { + self.inner.min_rows = n; + self + } + + /// Set minimum columns threshold. + #[must_use] + pub fn min_cols(mut self, n: usize) -> Self { + self.inner.min_cols = n; + self + } + + /// Set minimum quality threshold. + #[must_use] + pub fn min_quality(mut self, quality: TableQuality) -> Self { + self.inner.min_quality = quality; + self + } + + /// Enable or disable multi-page table merging. + #[must_use] + pub fn merge_multi_page(mut self, enabled: bool) -> Self { + self.inner.merge_multi_page = enabled; + self + } + + /// Set row clustering threshold (Y-position tolerance). + #[must_use] + pub fn row_clustering_threshold(mut self, threshold: f32) -> Self { + self.inner.row_clustering_threshold = threshold; + self + } + + /// Set column clustering threshold (X-position tolerance). + #[must_use] + pub fn col_clustering_threshold(mut self, threshold: f32) -> Self { + self.inner.col_clustering_threshold = threshold; + self + } + + /// Set header similarity threshold for multi-page merging. + #[must_use] + pub fn header_similarity_threshold(mut self, threshold: f32) -> Self { + self.inner.header_similarity_threshold = threshold; + self + } + + /// Set maximum pages to process (0 = unlimited). + #[must_use] + pub fn max_pages(mut self, n: usize) -> Self { + self.inner.max_pages = n; + self + } + + /// Build the options. + #[must_use] + pub fn build(self) -> TableExtractionOptions { + self.inner + } +} + +/// Extraction mode controls quality vs coverage tradeoff. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Default)] +pub enum ExtractionMode { + /// Only output High/Medium quality tables + #[default] + Conservative, + /// Include Low quality tables with warnings + Aggressive, + /// Only detect tables with visible grid lines + LatticeOnly, + /// Only detect tables inferred from text alignment + StreamOnly, +} + +impl std::fmt::Display for ExtractionMode { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + match self { + Self::Conservative => write!(f, "conservative"), + Self::Aggressive => write!(f, "aggressive"), + Self::LatticeOnly => write!(f, "lattice_only"), + Self::StreamOnly => write!(f, "stream_only"), + } + } +} + +/// Summary of a stored table (for listing). +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct TableSummary { + /// Table identifier + pub table_id: String, + /// Source filename + pub source_file: String, + /// Starting page number (1-indexed) + pub page_start: u32, + /// Ending page number (1-indexed) + pub page_end: u32, + /// Number of rows + pub n_rows: usize, + /// Number of columns + pub n_cols: usize, + /// Quality tier + pub quality: TableQuality, + /// Column headers + pub headers: Vec, + /// Frame ID of the `table_meta` frame + pub frame_id: u64, +} + +/// Result of table extraction from a document. +#[derive(Debug, Clone)] +pub struct TableExtractionResult { + /// Successfully extracted tables + pub tables: Vec, + /// Total pages processed + pub pages_processed: u32, + /// Total extraction time in milliseconds + pub total_ms: u64, + /// Warnings from extraction process + pub warnings: Vec, +} + +impl TableExtractionResult { + /// Create an empty result. + #[must_use] + pub fn empty() -> Self { + Self { + tables: Vec::new(), + pages_processed: 0, + total_ms: 0, + warnings: Vec::new(), + } + } + + /// Number of tables extracted. + #[must_use] + pub fn table_count(&self) -> usize { + self.tables.len() + } + + /// Check if any tables were extracted. + #[must_use] + pub fn has_tables(&self) -> bool { + !self.tables.is_empty() + } +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_table_cell_creation() { + let cell = TableCell::new("Hello", 0); + assert_eq!(cell.text, "Hello"); + assert_eq!(cell.col_index, 0); + assert_eq!(cell.row_span, 1); + assert_eq!(cell.col_span, 1); + assert!(!cell.is_header); + + let header_cell = cell.as_header(); + assert!(header_cell.is_header); + } + + #[test] + fn test_table_row_creation() { + let cells = vec![ + TableCell::new("A", 0), + TableCell::new("B", 1), + TableCell::new("C", 2), + ]; + let row = TableRow::new(0, 1, cells); + assert_eq!(row.row_index, 0); + assert_eq!(row.page, 1); + assert_eq!(row.cells.len(), 3); + assert!(!row.is_header_row); + + let header_row = row.as_header(); + assert!(header_row.is_header_row); + assert!(header_row.cells.iter().all(|c| c.is_header)); + } + + #[test] + fn test_extracted_table() { + let mut table = ExtractedTable::new("tbl_001", "invoice.pdf"); + table.headers = vec!["Date".to_string(), "Amount".to_string()]; + table.n_cols = 2; + table.page_start = 1; + table.page_end = 1; + + let cells = vec![ + TableCell::new("2025-01-15", 0), + TableCell::new("$100.00", 1), + ]; + let row = TableRow::new(0, 1, cells); + table.rows.push(row); + table.n_rows = 1; + + let map = table.row_as_map(&table.rows[0]); + assert_eq!(map.get("Date"), Some(&"2025-01-15".to_string())); + assert_eq!(map.get("Amount"), Some(&"$100.00".to_string())); + + assert!(!table.is_multi_page()); + table.page_end = 2; + assert!(table.is_multi_page()); + } + + #[test] + fn test_quality_display() { + assert_eq!(TableQuality::High.to_string(), "high"); + assert_eq!(TableQuality::Medium.to_string(), "medium"); + assert_eq!(TableQuality::Low.to_string(), "low"); + } + + #[test] + fn test_options_builder() { + let options = TableExtractionOptions::builder() + .mode(ExtractionMode::LatticeOnly) + .min_rows(3) + .min_cols(2) + .min_quality(TableQuality::High) + .merge_multi_page(false) + .build(); + + assert_eq!(options.mode, ExtractionMode::LatticeOnly); + assert_eq!(options.min_rows, 3); + assert_eq!(options.min_cols, 2); + assert_eq!(options.min_quality, TableQuality::High); + assert!(!options.merge_multi_page); + } +} diff --git a/src/tests_lex_flag.rs b/src/tests_lex_flag.rs new file mode 100644 index 0000000..200a4ba --- /dev/null +++ b/src/tests_lex_flag.rs @@ -0,0 +1,216 @@ +#[cfg(test)] +mod tests { + use crate::{Memvid, PutOptions, SearchRequest, run_serial_test}; + use std::sync::Mutex; + use tempfile::NamedTempFile; + + #[test] + #[cfg(not(target_os = "windows"))] // Windows file locking prevents tempfile cleanup + fn test_lex_persists_and_search_works() { + run_serial_test(|| { + let temp = NamedTempFile::new().unwrap(); + let path = temp.path(); + + // Phase 1: create, enable lex, ingest docs with periodic seals + { + let mut mem = Memvid::create(path).unwrap(); + mem.enable_lex().unwrap(); + + for i in 0..1000 { + let content = format!( + "Document {i} with searchable content about technology and artificial intelligence systems" + ); + let opts = PutOptions::builder() + .uri(format!("mv2://doc/{i}")) + .search_text(content.clone()) + .build(); + mem.put_bytes_with_options(content.as_bytes(), opts) + .unwrap(); + if (i + 1) % 100 == 0 { + mem.commit().unwrap(); + } + } + mem.commit().unwrap(); + + // Index is present in TOC + assert!( + mem.toc.segment_catalog.lex_enabled, + "lex_enabled should be set in catalog" + ); + assert!( + !mem.toc.segment_catalog.tantivy_segments.is_empty(), + "tantivy_segments should not be empty" + ); + } + + // Phase 2: reopen RO and search + { + let mut mem = Memvid::open_read_only(path).unwrap(); + assert!(mem.lex_enabled, "lex_enabled should persist after reopen"); + assert!( + mem.toc.segment_catalog.lex_enabled, + "catalog.lex_enabled should persist after reopen" + ); + assert!( + !mem.toc.segment_catalog.tantivy_segments.is_empty(), + "tantivy_segments should persist after reopen" + ); + + let resp = mem + .search(SearchRequest { + query: "artificial intelligence".into(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: crate::types::AclEnforcementMode::Audit, + }) + .expect("search must succeed"); + + assert!( + !resp.hits.is_empty(), + "expected some hits for 'artificial intelligence'" + ); + let first_hit = &resp.hits[0]; + let text_lower = first_hit.text.to_lowercase(); + assert!( + text_lower.contains("artificial") || text_lower.contains("intelligence"), + "first hit should contain search terms, got: {}", + first_hit.text + ); + } + }); + } + + /// Regression test for GitHub issue #201: + /// Lexical index not enabled when Memvid is wrapped in a Mutex. + /// The wrapper pattern acquires the lock, performs an operation, releases + /// the lock — mimicking the typical tokio::sync::Mutex usage in async code. + #[test] + #[cfg(not(target_os = "windows"))] + fn test_lex_works_through_mutex_wrapper() { + run_serial_test(|| { + let temp = NamedTempFile::new().unwrap(); + let path = temp.path(); + + // Wrap Memvid in a Mutex, exactly like an async wrapper would + let wrapper = Mutex::new(Memvid::create(path).unwrap()); + + // Step 1: enable_lex while holding the lock, then release + { + let mut mem = wrapper.lock().unwrap(); + mem.enable_lex().unwrap(); + } + + // Step 2: commit while holding the lock (separate acquisition) + { + let mut mem = wrapper.lock().unwrap(); + mem.commit().unwrap(); + } + + // Step 3: put data while holding the lock + { + let mut mem = wrapper.lock().unwrap(); + let opts = PutOptions::builder() + .uri("mv2://test/login".to_string()) + .search_text("user clicked login button on the authentication page".to_string()) + .build(); + mem.put_bytes_with_options(b"login event data", opts) + .unwrap(); + } + + // Step 4: commit while holding the lock + { + let mut mem = wrapper.lock().unwrap(); + mem.commit().unwrap(); + } + + // Step 5: search while holding the lock — this was failing in #201 + { + let mut mem = wrapper.lock().unwrap(); + let resp = mem + .search(SearchRequest { + query: "login".into(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: crate::types::AclEnforcementMode::Audit, + }) + .expect("search must succeed through mutex wrapper"); + + assert!( + !resp.hits.is_empty(), + "Should find the frame with 'login' in the message" + ); + } + + // Step 6: search_lex uses the legacy LexIndex, which may not be + // populated when only Tantivy is active. Verify it doesn't panic. + { + let mut mem = wrapper.lock().unwrap(); + let _ = mem.search_lex("login", 10); + // Result may be Ok (if legacy index was built) or Err (if only Tantivy). + // The important thing is it doesn't panic. + } + }); + } + + /// Regression test for #201: enable_lex, put, commit, search — all in one lock scope. + #[test] + #[cfg(not(target_os = "windows"))] + fn test_lex_works_single_scope() { + run_serial_test(|| { + let temp = NamedTempFile::new().unwrap(); + let path = temp.path(); + + let mut mem = Memvid::create(path).unwrap(); + mem.enable_lex().unwrap(); + + let opts = PutOptions::builder() + .uri("mv2://test/login".to_string()) + .search_text("user clicked login button on the authentication page".to_string()) + .build(); + mem.put_bytes_with_options(b"login event data", opts) + .unwrap(); + mem.commit().unwrap(); + + let resp = mem + .search(SearchRequest { + query: "login".into(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: crate::types::AclEnforcementMode::Audit, + }) + .expect("search must succeed"); + + assert!( + !resp.hits.is_empty(), + "Should find the frame with 'login' in the message" + ); + }); + } +} diff --git a/src/text.rs b/src/text.rs new file mode 100644 index 0000000..b7def15 --- /dev/null +++ b/src/text.rs @@ -0,0 +1,395 @@ +use unicode_normalization::UnicodeNormalization; +use unicode_segmentation::UnicodeSegmentation; + +/// Normalised text with truncation metadata. +#[derive(Debug, Clone, PartialEq, Eq)] +pub struct NormalizedText { + pub text: String, + pub truncated: bool, +} + +impl NormalizedText { + #[must_use] + pub fn is_truncated(&self) -> bool { + self.truncated + } +} + +/// Normalise text (NFKC), strip control characters, compact whitespace and +/// truncate at grapheme boundaries. +#[must_use] +pub fn normalize_text(input: &str, limit: usize) -> Option { + let limit = limit.max(1); + let normalised = input.nfkc().collect::(); + + let mut cleaned = String::with_capacity(normalised.len()); + let mut last_was_space = false; + let mut last_was_newline = false; + + for mut ch in normalised.chars() { + if ch == '\r' { + ch = '\n'; + } + if ch == '\t' { + ch = ' '; + } + if ch.is_control() && ch != '\n' { + continue; + } + if ch == '\n' { + if last_was_newline { + continue; + } + while cleaned.ends_with(' ') { + cleaned.pop(); + } + cleaned.push('\n'); + last_was_newline = true; + last_was_space = false; + } else if ch.is_whitespace() { + if last_was_space || cleaned.ends_with('\n') { + continue; + } + cleaned.push(' '); + last_was_space = true; + last_was_newline = false; + } else { + cleaned.push(ch); + last_was_space = false; + last_was_newline = false; + } + } + + let trimmed = cleaned.trim_matches(|c: char| c.is_whitespace()); + if trimmed.is_empty() { + return None; + } + + let mut truncated = false; + let mut out = String::new(); + let mut consumed = 0usize; + + for grapheme in trimmed.graphemes(true) { + let next = consumed + grapheme.len(); + if next > limit { + truncated = true; + break; + } + out.push_str(grapheme); + consumed = next; + } + + if out.is_empty() { + // Fallback: include the first grapheme even if it exceeds the limit so + // we never return empty text for non-empty input. + if let Some(first) = trimmed.graphemes(true).next() { + out.push_str(first); + truncated = true; + } + } + + Some(NormalizedText { + text: out, + truncated, + }) +} + +/// Return the byte index at which a string should be truncated while +/// preserving grapheme boundaries. +#[must_use] +pub fn truncate_at_grapheme_boundary(s: &str, limit: usize) -> usize { + if s.len() <= limit { + return s.len(); + } + + let mut end = 0usize; + for (idx, grapheme) in s.grapheme_indices(true) { + let next = idx + grapheme.len(); + if next > limit { + break; + } + end = next; + } + + if end == 0 { + s.graphemes(true).next().map_or(0, str::len) + } else { + end + } +} + +/// Fix spurious character-level spacing from PDF extraction. +/// +/// Some PDF extractors produce text like "man ager" instead of "manager" +/// or "sup erviso r" instead of "supervisor". This function detects and +/// fixes these patterns. +/// +/// Strategy: Detect short fragment runs that likely represent a single word +/// (e.g. "emp lo yee") and join them while preserving normal text. +#[must_use] +pub fn fix_pdf_spacing(input: &str) -> String { + // Fast path: if input has no spaces or is very short, return as-is + if input.len() < 3 || !input.contains(' ') { + return input.to_string(); + } + + // Single-char words that are valid English and should NOT be joined + const VALID_SINGLE_CHARS: &[char] = &['a', 'i', 'A', 'I']; + + // Common short words that should NOT be joined with neighbors + const COMMON_WORDS: &[&str] = &[ + "a", "an", "as", "at", "be", "by", "do", "go", "he", "if", "in", "is", "it", "me", "my", + "no", "of", "on", "or", "so", "to", "up", "us", "we", "am", "are", "can", "did", "for", + "get", "got", "had", "has", "her", "him", "his", "its", "let", "may", "nor", "not", "now", + "off", "old", "one", "our", "out", "own", "ran", "run", "saw", "say", "see", "set", "she", + "the", "too", "two", "use", "was", "way", "who", "why", "yet", "you", "all", "and", "any", + "but", "few", "how", "man", "new", "per", "put", "via", + ]; + + fn is_common_word(s: &str) -> bool { + let lower = s.to_ascii_lowercase(); + COMMON_WORDS.contains(&lower.as_str()) + } + + fn is_valid_single_char(s: &str) -> bool { + s.len() == 1 + && s.chars() + .next() + .is_some_and(|c| VALID_SINGLE_CHARS.contains(&c)) + } + + fn is_purely_alpha(s: &str) -> bool { + !s.is_empty() && s.chars().all(char::is_alphabetic) + } + + fn alpha_len(s: &str) -> usize { + s.chars().filter(|c| c.is_alphabetic()).count() + } + + fn is_orphan(word: &str) -> bool { + alpha_len(word) == 1 && is_purely_alpha(word) && !is_valid_single_char(word) + } + + fn is_short_fragment(word: &str) -> bool { + let len = alpha_len(word); + // 2-3 letter non-common words are definitely fragments + (2..=3).contains(&len) && is_purely_alpha(word) && !is_common_word(word) + } + + fn is_likely_suffix(word: &str) -> bool { + let len = alpha_len(word); + // 4-letter non-common words that look like word suffixes + // e.g., "ager" from "manager", "ment" from "engagement" + len == 4 && is_purely_alpha(word) && !is_common_word(word) + } + + fn should_start_merge(word: &str, next: &str) -> bool { + if !is_purely_alpha(word) || !is_purely_alpha(next) { + return false; + } + + let word_len = alpha_len(word); + let next_len = alpha_len(next); + let word_common = is_common_word(word); + let next_common = is_common_word(next); + + let word_orphan = is_orphan(word); + let next_orphan = is_orphan(next); + let word_fragment = is_short_fragment(word); + let next_fragment = is_short_fragment(next); + let next_suffix = is_likely_suffix(next); + + // Rule 1: Current word is an orphan (single non-I/a char) - strong signal of PDF break + if word_orphan { + return true; + } + + // Rule 2: Next word is an orphan - also strong signal + if next_orphan { + return true; + } + + // Rule 3: Current word is a fragment AND next is also fragment/orphan/suffix + // This prevents "older" + "do" from merging (older is not a fragment) + if word_fragment && (next_fragment || next_orphan || next_suffix) { + return true; + } + + // Rule 4: Valid single char (A/I) followed by short non-common fragment + // Handles "A va" -> "Ava" + if is_valid_single_char(word) && next_len <= 3 && !next_common { + return true; + } + + // Rule 5: Short common word (2-3 chars) followed by fragment or suffix + // Handles "man ager" -> "manager", "in di" type patterns + // But NOT "older do" (older is 5 chars, not short common) + if word_common && word_len <= 3 && (next_fragment || next_suffix) { + return true; + } + + false + } + + fn should_continue_merge(current: &str, next: &str, had_short_fragment: bool) -> bool { + if !had_short_fragment || !is_purely_alpha(next) { + return false; + } + + let next_len = alpha_len(next); + if next_len <= 3 { + return true; + } + + if next_len == 4 && !is_common_word(next) && alpha_len(current) <= 5 { + return true; + } + + false + } + + let words: Vec<&str> = input.split_whitespace().collect(); + if words.len() < 2 { + return input.to_string(); + } + + let mut output: Vec = Vec::with_capacity(words.len()); + let mut i = 0; + + while i < words.len() { + let word = words[i]; + + if i + 1 < words.len() && should_start_merge(word, words[i + 1]) { + let mut merged = String::from(word); + let mut had_short_fragment = is_short_fragment(word) + || is_short_fragment(words[i + 1]) + || is_orphan(word) + || is_orphan(words[i + 1]) + || (is_valid_single_char(word) && alpha_len(words[i + 1]) <= 3); + + merged.push_str(words[i + 1]); + i += 2; + + while i < words.len() && should_continue_merge(&merged, words[i], had_short_fragment) { + if is_short_fragment(words[i]) || is_orphan(words[i]) { + had_short_fragment = true; + } + merged.push_str(words[i]); + i += 1; + } + + output.push(merged); + } else { + output.push(word.to_string()); + i += 1; + } + } + + output.join(" ") +} + +#[cfg(test)] +mod tests { + use super::*; + + // Note: The heuristic fix_pdf_spacing tests are basic sanity checks. + // When symspell_cleanup feature is enabled (default), the SymSpell-based + // cleanup in symspell_cleanup.rs provides better results and has its own tests. + + #[test] + fn fixes_pdf_spacing_single_chars() { + // Single orphan chars get joined with adjacent words + assert_eq!(fix_pdf_spacing("lo n ger"), "longer"); + assert_eq!(fix_pdf_spacing("n o"), "no"); // both single chars, both orphans + // These are best-effort heuristics - SymSpell handles complex cases better + let result = fix_pdf_spacing("rep o rted"); + assert!( + result == "reported" || result.contains("rep"), + "got: {}", + result + ); + } + + #[test] + fn fixes_pdf_spacing_preserves_normal_text() { + // Normal English text should be preserved + assert_eq!( + fix_pdf_spacing("The manager reported to the supervisor"), + "The manager reported to the supervisor" + ); + // Valid words should not be merged across word boundaries + assert_eq!( + fix_pdf_spacing("The manager reported"), + "The manager reported" + ); + // "man ager" is a common PDF fragment split + assert_eq!(fix_pdf_spacing("man ager"), "manager"); + // Valid single chars (a, I) should stay separate + assert_eq!(fix_pdf_spacing("I am a person"), "I am a person"); + // Complete words should NOT be joined with fragments + // "older" is a complete word, should not merge with "do cuments" + // Note: "do" is a common word so heuristic may not join it - SymSpell handles this better + let result = fix_pdf_spacing("older do cuments"); + assert!(result.contains("older"), "got: {}", result); + assert_eq!(fix_pdf_spacing("These references"), "These references"); + } + + #[test] + fn fixes_pdf_spacing_two_letter_fragments() { + // Two-letter non-word fragments get joined together + assert_eq!(fix_pdf_spacing("lo ng"), "long"); + // But common 2-letter words stay separate + assert_eq!(fix_pdf_spacing("to be or"), "to be or"); + } + + #[test] + fn fixes_pdf_spacing_real_pdf_artifacts() { + // Real example: single char "C" joins with "hlo", then "e" joins + assert_eq!(fix_pdf_spacing("C hlo e"), "Chloe"); + // With a real name after + assert_eq!(fix_pdf_spacing("C hlo e Nguyen"), "Chloe Nguyen"); + // Real patterns with orphans throughout + assert_eq!(fix_pdf_spacing("n o lo n ger"), "nolonger"); + } + + #[test] + fn fixes_pdf_spacing_fragment_chains() { + // These are best handled by SymSpell - heuristics are approximate + let result = fix_pdf_spacing("A va Martin"); + assert!( + result.contains("va") || result.contains("Ava"), + "got: {}", + result + ); + let result = fix_pdf_spacing("emp lo yee"); + assert!( + result == "employee" || result.contains("emp"), + "got: {}", + result + ); + } + + #[test] + fn normalises_control_and_whitespace() { + let input = " Hello\tWorld \u{000B} test\r\nnext"; + let result = normalize_text(input, 128).expect("normalized"); + assert_eq!(result.text, "Hello World test\nnext"); + assert!(!result.truncated); + } + + #[test] + fn normalize_truncates_on_grapheme_boundary() { + let input = "a\u{0301}bcd"; // "á" decomposed plus letters. + let result = normalize_text(input, 3).expect("normalized"); + assert_eq!(result.text, "áb"); + assert!(result.truncated); + } + + #[test] + fn truncate_boundary_handles_long_grapheme() { + let s = "🇮🇳hello"; // flag is 8 bytes, 1 grapheme. + let idx = truncate_at_grapheme_boundary(s, 4); + assert!(idx >= 4); + assert_eq!(&s[..idx], "🇮🇳"); + } +} diff --git a/src/text_embed.rs b/src/text_embed.rs new file mode 100644 index 0000000..5dab140 --- /dev/null +++ b/src/text_embed.rs @@ -0,0 +1,1183 @@ +//! Local text embedding provider using ONNX Runtime. +//! +//! This module provides text-only embedding generation using local ONNX models, +//! enabling semantic search without cloud APIs. It follows the same patterns as +//! the CLIP implementation for consistency. +//! +//! ## Supported Models +//! +//! - **BGE-small-en-v1.5** (default): 384 dimensions, fast and efficient +//! - **BGE-base-en-v1.5**: 768 dimensions, better quality +//! - **nomic-embed-text-v1.5**: 768 dimensions, versatile +//! - **GTE-large**: 1024 dimensions, highest quality +//! +//! ## Usage +//! +//! ```ignore +//! use memvid_core::text_embed::{LocalTextEmbedder, TextEmbedConfig}; +//! +//! let config = TextEmbedConfig::default(); // Uses BGE-small +//! let embedder = LocalTextEmbedder::new(config)?; +//! +//! let embedding = embedder.embed_text("hello world")?; +//! assert_eq!(embedding.len(), 384); +//! ``` + +use crate::types::embedding::EmbeddingProvider; +use crate::{MemvidError, Result}; +use ndarray::Array; +use ort::session::{Session, builder::GraphOptimizationLevel}; +use ort::value::Tensor; +use std::collections::hash_map::DefaultHasher; +use std::collections::{HashMap, VecDeque}; +use std::hash::{Hash, Hasher}; +use std::path::PathBuf; +use std::sync::Mutex; +use std::time::{Duration, Instant}; +use tokenizers::tokenizer::{Tokenizer, TruncationParams}; +use tokenizers::{ + PaddingDirection, PaddingParams, PaddingStrategy, TruncationDirection, TruncationStrategy, +}; + +// ============================================================================ +// Stderr Suppression for macOS +// ============================================================================ +// ONNX Runtime on macOS emits "Context leak detected, msgtracer returned -1" +// warnings from Apple's tracing infrastructure. These are harmless but noisy. +// We suppress stderr during model loading to avoid these warnings. + +#[cfg(target_os = "macos")] +mod stderr_suppress { + use std::fs::File; + use std::io; + use std::os::unix::io::{AsRawFd, FromRawFd, RawFd}; + + pub struct StderrSuppressor { + original_stderr: RawFd, + dev_null: File, + } + + impl StderrSuppressor { + pub fn new() -> io::Result { + // Open /dev/null + let dev_null = File::open("/dev/null")?; + + // Duplicate stderr to save it + let original_stderr = unsafe { libc::dup(2) }; + if original_stderr == -1 { + return Err(io::Error::last_os_error()); + } + + // Redirect stderr to /dev/null + let result = unsafe { libc::dup2(dev_null.as_raw_fd(), 2) }; + if result == -1 { + unsafe { libc::close(original_stderr) }; + return Err(io::Error::last_os_error()); + } + + Ok(Self { + original_stderr, + dev_null, + }) + } + } + + impl Drop for StderrSuppressor { + fn drop(&mut self) { + // Restore original stderr + unsafe { + libc::dup2(self.original_stderr, 2); + libc::close(self.original_stderr); + } + // dev_null is closed automatically when dropped + let _ = &self.dev_null; + } + } +} + +#[cfg(not(target_os = "macos"))] +mod stderr_suppress { + pub struct StderrSuppressor; + + impl StderrSuppressor { + pub fn new() -> std::io::Result { + Ok(Self) + } + } +} + +// ============================================================================ +// Global ONNX Runtime Initialization (with stderr suppression on macOS) +// ============================================================================ +// ONNX Runtime's global environment is lazily initialized on first session creation. +// On macOS, this triggers "Context leak detected, msgtracer returned -1" warnings +// from Apple's tracing infrastructure. We initialize early with stderr suppressed. + +use once_cell::sync::Lazy; + +static ORT_INIT: Lazy<()> = Lazy::new(|| { + // Suppress stderr during ONNX Runtime initialization on macOS + let _stderr_guard = stderr_suppress::StderrSuppressor::new().ok(); + + // Force ONNX Runtime initialization by creating a minimal session builder + // This triggers the global environment init which emits the warnings + let _ = Session::builder(); + + tracing::debug!("ONNX Runtime global environment initialized"); +}); + +/// Ensure ONNX Runtime is initialized (call this before any ONNX operations) +fn ensure_ort_init() { + Lazy::force(&ORT_INIT); +} + +// ============================================================================ +// Configuration Constants +// ============================================================================ + +/// Default directory for storing text embedding models + +/// Maximum sequence length for text embedding models (standard for BERT-based models) +const MAX_SEQUENCE_LENGTH: usize = 512; + +/// Model unload timeout - unload after 5 minutes of inactivity +pub const MODEL_UNLOAD_TIMEOUT: Duration = Duration::from_secs(300); + +/// Default cache capacity (number of embeddings to cache) +const DEFAULT_CACHE_CAPACITY: usize = 1000; + +// ============================================================================ +// Model Registry +// ============================================================================ + +/// Available text embedding models with verified HuggingFace URLs +#[derive(Debug, Clone)] +pub struct TextEmbedModelInfo { + /// Model identifier + pub name: &'static str, + /// HuggingFace URL for ONNX model + pub model_url: &'static str, + /// HuggingFace URL for tokenizer + pub tokenizer_url: &'static str, + /// Embedding dimensions + pub dims: u32, + /// Maximum token length + pub max_tokens: usize, + /// Whether this is the default model + pub is_default: bool, +} + +/// Available text embedding models registry +pub static TEXT_EMBED_MODELS: &[TextEmbedModelInfo] = &[ + // BGE-small: Default, fast, good quality (384d) + TextEmbedModelInfo { + name: "bge-small-en-v1.5", + model_url: "https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/onnx/model.onnx", + tokenizer_url: "https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/tokenizer.json", + dims: 384, + max_tokens: 512, + is_default: true, + }, + // BGE-base: Better quality, still fast (768d) + TextEmbedModelInfo { + name: "bge-base-en-v1.5", + model_url: "https://huggingface.co/BAAI/bge-base-en-v1.5/resolve/main/onnx/model.onnx", + tokenizer_url: "https://huggingface.co/BAAI/bge-base-en-v1.5/resolve/main/tokenizer.json", + dims: 768, + max_tokens: 512, + is_default: false, + }, + // Nomic: Versatile, good for various tasks (768d) + TextEmbedModelInfo { + name: "nomic-embed-text-v1.5", + model_url: "https://huggingface.co/nomic-ai/nomic-embed-text-v1.5/resolve/main/onnx/model.onnx", + tokenizer_url: "https://huggingface.co/nomic-ai/nomic-embed-text-v1.5/resolve/main/tokenizer.json", + dims: 768, + max_tokens: 512, + is_default: false, + }, + // GTE-large: Highest quality, slower (1024d) + TextEmbedModelInfo { + name: "gte-large", + model_url: "https://huggingface.co/thenlper/gte-large/resolve/main/onnx/model.onnx", + tokenizer_url: "https://huggingface.co/thenlper/gte-large/resolve/main/tokenizer.json", + dims: 1024, + max_tokens: 512, + is_default: false, + }, +]; + +/// Get model info by name, defaults to bge-small-en-v1.5 +#[must_use] +pub fn get_text_model_info(name: &str) -> &'static TextEmbedModelInfo { + TEXT_EMBED_MODELS + .iter() + .find(|m| m.name == name) + .unwrap_or_else(|| default_text_model_info()) +} + +/// Get the default model info +#[must_use] +pub fn default_text_model_info() -> &'static TextEmbedModelInfo { + TEXT_EMBED_MODELS + .iter() + .find(|m| m.is_default) + .expect("No default text embedding model configured") +} + +// ============================================================================ +// Configuration +// ============================================================================ + +/// Configuration for local text embedding provider +#[derive(Debug, Clone)] +pub struct TextEmbedConfig { + /// Model name to use + pub model_name: String, + /// Directory to store/load ONNX models and tokenizers + pub models_dir: PathBuf, + /// Offline mode - don't attempt downloads, fail if model missing + pub offline: bool, + /// Enable embedding cache (default: true) + pub enable_cache: bool, + /// Maximum number of embeddings to cache (default: 1000) + pub cache_capacity: usize, +} + +impl Default for TextEmbedConfig { + fn default() -> Self { + let models_dir = dirs_next::cache_dir() + .map(|p| p.join("memvid").join("text-models")) + .unwrap_or_else(|| { + // Fallback to local directory if cache dir not available + PathBuf::from(".memvid-cache/text-models") + }); + + Self { + model_name: default_text_model_info().name.to_string(), + models_dir, + offline: true, // Default to offline (no auto-download) + enable_cache: true, // Cache enabled by default + cache_capacity: DEFAULT_CACHE_CAPACITY, + } + } +} + +impl TextEmbedConfig { + /// Create config for BGE-small model (default) + #[must_use] + pub fn bge_small() -> Self { + Self { + model_name: "bge-small-en-v1.5".to_string(), + ..Default::default() + } + } + + /// Create config for BGE-base model + #[must_use] + pub fn bge_base() -> Self { + Self { + model_name: "bge-base-en-v1.5".to_string(), + ..Default::default() + } + } + + /// Create config for Nomic model + #[must_use] + pub fn nomic() -> Self { + Self { + model_name: "nomic-embed-text-v1.5".to_string(), + ..Default::default() + } + } + + /// Create config for GTE-large model + #[must_use] + pub fn gte_large() -> Self { + Self { + model_name: "gte-large".to_string(), + ..Default::default() + } + } +} + +// ============================================================================ +// Embedding Cache +// ============================================================================ + +/// Statistics for the embedding cache +#[derive(Debug, Clone, Copy)] +pub struct CacheStats { + /// Number of cache hits + pub hits: usize, + /// Number of cache misses + pub misses: usize, + /// Current cache size + pub size: usize, + /// Maximum cache capacity + pub capacity: usize, +} + +impl CacheStats { + /// Calculate hit rate (hits / total requests) + pub fn hit_rate(&self) -> f64 { + let total = self.hits + self.misses; + if total == 0 { + 0.0 + } else { + self.hits as f64 / total as f64 + } + } +} + +/// Simple LRU cache for text embeddings +struct EmbeddingCache { + /// Cache storage: text hash -> embedding + cache: HashMap>, + /// LRU queue: tracks access order (most recent at front) + lru_queue: VecDeque, + /// Maximum capacity + capacity: usize, + /// Cache hit count + hits: usize, + /// Cache miss count + misses: usize, +} + +impl EmbeddingCache { + fn new(capacity: usize) -> Self { + Self { + cache: HashMap::with_capacity(capacity), + lru_queue: VecDeque::with_capacity(capacity), + capacity, + hits: 0, + misses: 0, + } + } + + fn get(&mut self, key: u64) -> Option> { + if let Some(embedding) = self.cache.get(&key) { + // Move to front (most recently used) + self.lru_queue.retain(|&k| k != key); + self.lru_queue.push_front(key); + self.hits += 1; + Some(embedding.clone()) + } else { + self.misses += 1; + None + } + } + + fn insert(&mut self, key: u64, value: Vec) { + // Check if already exists + if self.cache.contains_key(&key) { + // Update and move to front + self.cache.insert(key, value); + self.lru_queue.retain(|&k| k != key); + self.lru_queue.push_front(key); + return; + } + + // Evict if at capacity + if self.cache.len() >= self.capacity { + if let Some(oldest_key) = self.lru_queue.pop_back() { + self.cache.remove(&oldest_key); + } + } + + // Insert new entry + self.cache.insert(key, value); + self.lru_queue.push_front(key); + } + + fn clear(&mut self) { + self.cache.clear(); + self.lru_queue.clear(); + self.hits = 0; + self.misses = 0; + } + + fn stats(&self) -> CacheStats { + CacheStats { + hits: self.hits, + misses: self.misses, + size: self.cache.len(), + capacity: self.capacity, + } + } +} + +// ============================================================================ +// Local Text Embedder +// ============================================================================ + +/// Local text embedding provider using ONNX Runtime +/// +/// This struct provides text embedding generation using local ONNX models. +/// Models are lazy-loaded on first use and automatically unloaded after +/// a period of inactivity to minimize memory usage. +pub struct LocalTextEmbedder { + config: TextEmbedConfig, + model_info: &'static TextEmbedModelInfo, + /// Lazy-loaded ONNX session + session: Mutex>, + /// Lazy-loaded tokenizer + tokenizer: Mutex>, + /// Last time the model was used (for idle unloading) + last_used: Mutex, + /// Embedding cache (optional) + cache: Mutex>, +} + +impl LocalTextEmbedder { + /// Create a new text embedder with the given configuration + pub fn new(config: TextEmbedConfig) -> Result { + let model_info = get_text_model_info(&config.model_name); + + // Initialize cache if enabled + let cache = if config.enable_cache { + Some(EmbeddingCache::new(config.cache_capacity)) + } else { + None + }; + + Ok(Self { + config, + model_info, + session: Mutex::new(None), + tokenizer: Mutex::new(None), + last_used: Mutex::new(Instant::now()), + cache: Mutex::new(cache), + }) + } + + /// Get model info + #[must_use] + pub fn model_info(&self) -> &'static TextEmbedModelInfo { + self.model_info + } + + /// Ensure model file exists, returning error with download instructions if not + fn ensure_model_file(&self) -> Result { + let filename = format!("{}.onnx", self.model_info.name); + let path = self.config.models_dir.join(&filename); + + if path.exists() { + return Ok(path); + } + + // Model file doesn't exist + Err(MemvidError::EmbeddingFailed { + reason: format!( + "Text embedding model not found at {}. Please download manually:\n\ + mkdir -p {}\n\ + curl -L '{}' -o '{}'", + path.display(), + self.config.models_dir.display(), + self.model_info.model_url, + path.display() + ) + .into(), + }) + } + + /// Ensure tokenizer file exists, returning error with download instructions if not + fn ensure_tokenizer_file(&self) -> Result { + let filename = format!("{}_tokenizer.json", self.model_info.name); + let path = self.config.models_dir.join(&filename); + + if path.exists() { + return Ok(path); + } + + // Tokenizer file doesn't exist + Err(MemvidError::EmbeddingFailed { + reason: format!( + "Tokenizer not found at {}. Please download manually:\n\ + curl -L '{}' -o '{}'", + path.display(), + self.model_info.tokenizer_url, + path.display() + ) + .into(), + }) + } + + /// Load ONNX session lazily + fn load_session(&self) -> Result<()> { + // Ensure ONNX Runtime is initialized (with stderr suppressed on macOS) + ensure_ort_init(); + + let mut session_guard = self + .session + .lock() + .map_err(|_| MemvidError::Lock("Failed to lock text embed session".into()))?; + + if session_guard.is_some() { + return Ok(()); + } + + let model_path = self.ensure_model_file()?; + + tracing::debug!(path = %model_path.display(), "Loading text embedding model"); + + // Suppress stderr during ONNX session creation (macOS emits harmless warnings) + let _stderr_guard = stderr_suppress::StderrSuppressor::new().ok(); + + let session = Session::builder() + .map_err(|e| MemvidError::EmbeddingFailed { + reason: format!("Failed to create session builder: {}", e).into(), + })? + .with_optimization_level(GraphOptimizationLevel::Level3) + .map_err(|e| MemvidError::EmbeddingFailed { + reason: format!("Failed to set optimization level: {}", e).into(), + })? + .with_intra_threads(4) + .map_err(|e| MemvidError::EmbeddingFailed { + reason: format!("Failed to set intra threads: {}", e).into(), + })? + .commit_from_file(&model_path) + .map_err(|e| MemvidError::EmbeddingFailed { + reason: format!("Failed to load text embedding model: {}", e).into(), + })?; + + // _stderr_guard is dropped here, restoring stderr + + *session_guard = Some(session); + tracing::info!(model = %self.model_info.name, "Text embedding model loaded"); + + Ok(()) + } + + /// Load tokenizer lazily + fn load_tokenizer(&self) -> Result<()> { + let mut tokenizer_guard = self + .tokenizer + .lock() + .map_err(|_| MemvidError::Lock("Failed to lock tokenizer".into()))?; + + if tokenizer_guard.is_some() { + return Ok(()); + } + + let tokenizer_path = self.ensure_tokenizer_file()?; + + tracing::debug!(path = %tokenizer_path.display(), "Loading tokenizer"); + + let mut tokenizer = + Tokenizer::from_file(&tokenizer_path).map_err(|e| MemvidError::EmbeddingFailed { + reason: format!("Failed to load tokenizer: {}", e).into(), + })?; + + // Configure padding to max sequence length + tokenizer.with_padding(Some(PaddingParams { + strategy: PaddingStrategy::Fixed(MAX_SEQUENCE_LENGTH), + direction: PaddingDirection::Right, + pad_to_multiple_of: None, + pad_id: 0, + pad_type_id: 0, + pad_token: "[PAD]".to_string(), + })); + + // Configure truncation + tokenizer + .with_truncation(Some(TruncationParams { + max_length: MAX_SEQUENCE_LENGTH, + strategy: TruncationStrategy::LongestFirst, + stride: 0, + direction: TruncationDirection::Right, + })) + .map_err(|e| MemvidError::EmbeddingFailed { + reason: format!("Failed to apply truncation config: {}", e).into(), + })?; + + *tokenizer_guard = Some(tokenizer); + tracing::info!(model = %self.model_info.name, "Tokenizer loaded"); + + Ok(()) + } + + /// Compute cache key for a given text + fn cache_key(text: &str) -> u64 { + let mut hasher = DefaultHasher::new(); + text.hash(&mut hasher); + hasher.finish() + } + + /// Encode text to embedding (with caching support) + pub fn encode_text(&self, text: &str) -> Result> { + // 1. Check cache first + if let Ok(mut cache_guard) = self.cache.lock() { + if let Some(ref mut cache) = *cache_guard { + let key = Self::cache_key(text); + if let Some(embedding) = cache.get(key) { + tracing::debug!(text_len = text.len(), "Cache hit"); + return Ok(embedding); + } + tracing::debug!(text_len = text.len(), "Cache miss"); + } + } + + // 2. Cache miss - generate embedding normally + // Suppress stderr during model loading (macOS emits harmless "Context leak detected" warnings) + // This must be set before load_session() to catch ONNX Runtime's global initialization + let _stderr_guard = stderr_suppress::StderrSuppressor::new().ok(); + + // Ensure session and tokenizer are loaded + self.load_session()?; + self.load_tokenizer()?; + + // Tokenize the text + let encoding = { + let tokenizer_guard = self + .tokenizer + .lock() + .map_err(|_| MemvidError::Lock("Failed to lock tokenizer".into()))?; + let tokenizer = + tokenizer_guard + .as_ref() + .ok_or_else(|| MemvidError::EmbeddingFailed { + reason: "Tokenizer not loaded".into(), + })?; + + tokenizer + .encode(text, true) + .map_err(|e| MemvidError::EmbeddingFailed { + reason: format!("Text tokenization failed: {}", e).into(), + })? + }; + + let input_ids: Vec = encoding.get_ids().iter().map(|id| *id as i64).collect(); + let attention_mask: Vec = encoding + .get_attention_mask() + .iter() + .map(|id| *id as i64) + .collect(); + let token_type_ids: Vec = encoding + .get_type_ids() + .iter() + .map(|id| *id as i64) + .collect(); + let max_length = input_ids.len(); + + // Create input arrays + let input_ids_array = Array::from_shape_vec((1, max_length), input_ids).map_err(|e| { + MemvidError::EmbeddingFailed { + reason: format!("Failed to create input_ids array: {}", e).into(), + } + })?; + let attention_mask_array = + Array::from_shape_vec((1, max_length), attention_mask).map_err(|e| { + MemvidError::EmbeddingFailed { + reason: format!("Failed to create attention_mask array: {}", e).into(), + } + })?; + let token_type_ids_array = + Array::from_shape_vec((1, max_length), token_type_ids).map_err(|e| { + MemvidError::EmbeddingFailed { + reason: format!("Failed to create token_type_ids array: {}", e).into(), + } + })?; + + // Update last used timestamp + if let Ok(mut last) = self.last_used.lock() { + *last = Instant::now(); + } + + // Run inference + let mut session_guard = self + .session + .lock() + .map_err(|_| MemvidError::Lock("Failed to lock session".into()))?; + + let session = session_guard + .as_mut() + .ok_or_else(|| MemvidError::EmbeddingFailed { + reason: "Session not loaded".into(), + })?; + + // Get input and output names from session + let input_names: Vec = session.inputs.iter().map(|i| i.name.clone()).collect(); + let output_name = session + .outputs + .first() + .map(|o| o.name.clone()) + .unwrap_or_else(|| "last_hidden_state".to_string()); + + // Create tensors + let input_ids_tensor = + Tensor::from_array(input_ids_array).map_err(|e| MemvidError::EmbeddingFailed { + reason: format!("Failed to create input_ids tensor: {}", e).into(), + })?; + let attention_mask_tensor = + Tensor::from_array(attention_mask_array).map_err(|e| MemvidError::EmbeddingFailed { + reason: format!("Failed to create attention_mask tensor: {}", e).into(), + })?; + let token_type_ids_tensor = + Tensor::from_array(token_type_ids_array).map_err(|e| MemvidError::EmbeddingFailed { + reason: format!("Failed to create token_type_ids tensor: {}", e).into(), + })?; + + // Suppress stderr during inference (macOS emits harmless "Context leak detected" warnings) + let _stderr_guard = stderr_suppress::StderrSuppressor::new().ok(); + + // Build inputs based on what the model expects + let outputs = if input_names.len() >= 3 { + // Full BERT model with token_type_ids + session + .run(ort::inputs![ + input_names[0].clone() => input_ids_tensor, + input_names[1].clone() => attention_mask_tensor, + input_names[2].clone() => token_type_ids_tensor + ]) + .map_err(|e| MemvidError::EmbeddingFailed { + reason: format!("Text inference failed: {}", e).into(), + })? + } else if input_names.len() >= 2 { + // Model without token_type_ids (some variants) + session + .run(ort::inputs![ + input_names[0].clone() => input_ids_tensor, + input_names[1].clone() => attention_mask_tensor + ]) + .map_err(|e| MemvidError::EmbeddingFailed { + reason: format!("Text inference failed: {}", e).into(), + })? + } else { + // Single input model + let name = input_names + .first() + .cloned() + .unwrap_or_else(|| "input_ids".to_string()); + session + .run(ort::inputs![name => input_ids_tensor]) + .map_err(|e| MemvidError::EmbeddingFailed { + reason: format!("Text inference failed: {}", e).into(), + })? + }; + + // Extract embeddings from output + let output = outputs + .get(&output_name) + .ok_or_else(|| MemvidError::EmbeddingFailed { + reason: format!("No output '{}' from model", output_name).into(), + })?; + + let (_shape, data) = + output + .try_extract_tensor::() + .map_err(|e| MemvidError::EmbeddingFailed { + reason: format!("Failed to extract embeddings: {}", e).into(), + })?; + + // For BERT-style models, use [CLS] token embedding (first token) + // The output shape is typically [batch_size, sequence_length, hidden_size] + let embedding_dim = self.model_info.dims as usize; + let embedding: Vec = data.iter().take(embedding_dim).copied().collect(); + + if embedding.iter().any(|v| !v.is_finite()) { + return Err(MemvidError::EmbeddingFailed { + reason: "Text embedding contains non-finite values".into(), + }); + } + + // L2 normalize + let normalized = l2_normalize(&embedding); + + tracing::debug!( + text_len = text.len(), + dims = normalized.len(), + "Generated text embedding" + ); + + // 3. Store in cache + if let Ok(mut cache_guard) = self.cache.lock() { + if let Some(ref mut cache) = *cache_guard { + let key = Self::cache_key(text); + cache.insert(key, normalized.clone()); + } + } + + Ok(normalized) + } + + /// Encode multiple texts in batch + pub fn encode_batch(&self, texts: &[&str]) -> Result>> { + let mut embeddings = Vec::with_capacity(texts.len()); + for text in texts { + embeddings.push(self.encode_text(text)?); + } + Ok(embeddings) + } + + /// Get cache statistics + /// + /// Returns None if caching is disabled + pub fn cache_stats(&self) -> Option { + if let Ok(cache_guard) = self.cache.lock() { + cache_guard.as_ref().map(|cache| cache.stats()) + } else { + None + } + } + + /// Clear the embedding cache + /// + /// This resets all cache statistics and removes all cached embeddings + pub fn clear_cache(&self) -> Result<()> { + if let Ok(mut cache_guard) = self.cache.lock() { + if let Some(ref mut cache) = *cache_guard { + cache.clear(); + tracing::debug!("Embedding cache cleared"); + } + } + Ok(()) + } + + /// Check if model is loaded + pub fn is_loaded(&self) -> bool { + self.session.lock().map(|g| g.is_some()).unwrap_or(false) + } + + /// Maybe unload model if unused for too long (memory management) + pub fn maybe_unload(&self) -> Result<()> { + let last_used = self + .last_used + .lock() + .map_err(|_| MemvidError::Lock("Failed to check last_used".into()))?; + + if last_used.elapsed() > MODEL_UNLOAD_TIMEOUT { + tracing::debug!(model = %self.model_info.name, "Model idle, unloading"); + + // Unload session + if let Ok(mut guard) = self.session.lock() { + *guard = None; + } + + // Unload tokenizer + if let Ok(mut guard) = self.tokenizer.lock() { + *guard = None; + } + } + + Ok(()) + } + + /// Force unload model and tokenizer + pub fn unload(&self) -> Result<()> { + if let Ok(mut guard) = self.session.lock() { + *guard = None; + } + if let Ok(mut guard) = self.tokenizer.lock() { + *guard = None; + } + tracing::debug!(model = %self.model_info.name, "Text embedding model unloaded"); + Ok(()) + } +} + +// ============================================================================ +// EmbeddingProvider Implementation +// ============================================================================ + +impl EmbeddingProvider for LocalTextEmbedder { + fn kind(&self) -> &str { + "local" + } + + fn model(&self) -> &str { + self.model_info.name + } + + fn dimension(&self) -> usize { + self.model_info.dims as usize + } + + fn embed_text(&self, text: &str) -> Result> { + self.encode_text(text) + } + + fn embed_batch(&self, texts: &[&str]) -> Result>> { + self.encode_batch(texts) + } + + fn is_ready(&self) -> bool { + // Models are lazy-loaded, so always "ready" + true + } + + fn init(&mut self) -> Result<()> { + // Lazy loading, no explicit init needed + Ok(()) + } +} + +// ============================================================================ +// Utilities +// ============================================================================ + +/// L2 normalize a vector (unit length) +fn l2_normalize(v: &[f32]) -> Vec { + let norm: f32 = v.iter().map(|x| x * x).sum::().sqrt(); + if norm.is_finite() && norm > 1e-10 { + v.iter().map(|x| x / norm).collect() + } else { + // Fall back to zeros to avoid NaNs propagating through distances + vec![0.0; v.len()] + } +} + +// ============================================================================ +// Tests +// ============================================================================ + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_model_registry() { + assert_eq!(TEXT_EMBED_MODELS.len(), 4); + + let default_model = default_text_model_info(); + assert_eq!(default_model.name, "bge-small-en-v1.5"); + assert_eq!(default_model.dims, 384); + assert!(default_model.is_default); + } + + #[test] + fn test_get_model_info() { + let bge_small = get_text_model_info("bge-small-en-v1.5"); + assert_eq!(bge_small.dims, 384); + + let bge_base = get_text_model_info("bge-base-en-v1.5"); + assert_eq!(bge_base.dims, 768); + + let nomic = get_text_model_info("nomic-embed-text-v1.5"); + assert_eq!(nomic.dims, 768); + + let gte = get_text_model_info("gte-large"); + assert_eq!(gte.dims, 1024); + + // Unknown model should return default + let unknown = get_text_model_info("unknown-model"); + assert_eq!(unknown.name, "bge-small-en-v1.5"); + } + + #[test] + fn test_config_defaults() { + let config = TextEmbedConfig::default(); + assert_eq!(config.model_name, "bge-small-en-v1.5"); + assert!(config.offline); + + let bge_small = TextEmbedConfig::bge_small(); + assert_eq!(bge_small.model_name, "bge-small-en-v1.5"); + + let bge_base = TextEmbedConfig::bge_base(); + assert_eq!(bge_base.model_name, "bge-base-en-v1.5"); + + let nomic = TextEmbedConfig::nomic(); + assert_eq!(nomic.model_name, "nomic-embed-text-v1.5"); + + let gte = TextEmbedConfig::gte_large(); + assert_eq!(gte.model_name, "gte-large"); + } + + #[test] + fn test_l2_normalize() { + let v = vec![3.0, 4.0]; + let normalized = l2_normalize(&v); + assert_eq!(normalized.len(), 2); + // 3/5 = 0.6, 4/5 = 0.8 + assert!((normalized[0] - 0.6).abs() < 1e-6); + assert!((normalized[1] - 0.8).abs() < 1e-6); + + // Test zero vector + let zero = vec![0.0, 0.0]; + let normalized_zero = l2_normalize(&zero); + assert_eq!(normalized_zero, vec![0.0, 0.0]); + } + + #[test] + fn test_embed_provider_trait() { + let config = TextEmbedConfig::default(); + let embedder = LocalTextEmbedder::new(config).unwrap(); + + assert_eq!(embedder.kind(), "local"); + assert_eq!(embedder.model(), "bge-small-en-v1.5"); + assert_eq!(embedder.dimension(), 384); + assert!(embedder.is_ready()); + } + + // ======================================================================== + // Cache Tests + // ======================================================================== + + #[test] + fn test_cache_enabled_by_default() { + let config = TextEmbedConfig::default(); + assert!(config.enable_cache); + assert_eq!(config.cache_capacity, 1000); + + let embedder = LocalTextEmbedder::new(config).unwrap(); + // Should have cache stats available + assert!(embedder.cache_stats().is_some()); + } + + #[test] + fn test_cache_can_be_disabled() { + let config = TextEmbedConfig { + enable_cache: false, + ..Default::default() + }; + let embedder = LocalTextEmbedder::new(config).unwrap(); + + // Should not have cache stats when disabled + assert!(embedder.cache_stats().is_none()); + } + + #[test] + fn test_cache_basic_operations() { + let mut cache = EmbeddingCache::new(10); + + // Initial state + let stats = cache.stats(); + assert_eq!(stats.hits, 0); + assert_eq!(stats.misses, 0); + assert_eq!(stats.size, 0); + + // Insert + cache.insert(1, vec![1.0, 2.0, 3.0]); + assert_eq!(cache.stats().size, 1); + + // Hit + let result = cache.get(1); + assert!(result.is_some()); + assert_eq!(result.unwrap(), vec![1.0, 2.0, 3.0]); + assert_eq!(cache.stats().hits, 1); + assert_eq!(cache.stats().misses, 0); + + // Miss + let result = cache.get(999); + assert!(result.is_none()); + assert_eq!(cache.stats().hits, 1); + assert_eq!(cache.stats().misses, 1); + } + + #[test] + fn test_cache_lru_eviction() { + let mut cache = EmbeddingCache::new(3); + + // Fill cache + cache.insert(1, vec![1.0]); + cache.insert(2, vec![2.0]); + cache.insert(3, vec![3.0]); + assert_eq!(cache.stats().size, 3); + + // Access key 1 (moves to front) + let _ = cache.get(1); + + // Insert key 4 - should evict key 2 (least recently used) + cache.insert(4, vec![4.0]); + assert_eq!(cache.stats().size, 3); + + // Key 1 and 3 should still be present + assert!(cache.get(1).is_some()); + assert!(cache.get(3).is_some()); + + // Key 2 should be evicted + assert!(cache.get(2).is_none()); + + // Key 4 should be present + assert!(cache.get(4).is_some()); + } + + #[test] + fn test_cache_clear() { + let mut cache = EmbeddingCache::new(10); + + // Add some entries + cache.insert(1, vec![1.0]); + cache.insert(2, vec![2.0]); + let _ = cache.get(1); // Generate some stats + let _ = cache.get(999); // Miss + + assert_eq!(cache.stats().size, 2); + assert_eq!(cache.stats().hits, 1); + assert_eq!(cache.stats().misses, 1); + + // Clear + cache.clear(); + + assert_eq!(cache.stats().size, 0); + assert_eq!(cache.stats().hits, 0); + assert_eq!(cache.stats().misses, 0); + } + + #[test] + fn test_cache_stats_hit_rate() { + let stats = CacheStats { + hits: 7, + misses: 3, + size: 5, + capacity: 10, + }; + + assert_eq!(stats.hit_rate(), 0.7); // 7 / (7 + 3) = 0.7 + + // Zero case + let stats_zero = CacheStats { + hits: 0, + misses: 0, + size: 0, + capacity: 10, + }; + assert_eq!(stats_zero.hit_rate(), 0.0); + } + + #[test] + fn test_cache_key_consistency() { + // Same text should produce same key + let key1 = LocalTextEmbedder::cache_key("hello world"); + let key2 = LocalTextEmbedder::cache_key("hello world"); + assert_eq!(key1, key2); + + // Different text should (very likely) produce different key + let key3 = LocalTextEmbedder::cache_key("goodbye world"); + assert_ne!(key1, key3); + } + + #[test] + #[ignore] // Requires model files + fn test_cache_integration() { + let config = TextEmbedConfig { + enable_cache: true, + cache_capacity: 100, + ..Default::default() + }; + let embedder = LocalTextEmbedder::new(config).unwrap(); + + let text = "test embedding"; + + // First call - should be cache miss + let _ = embedder.encode_text(text).unwrap(); + let stats1 = embedder.cache_stats().unwrap(); + assert_eq!(stats1.misses, 1); + assert_eq!(stats1.hits, 0); + assert_eq!(stats1.size, 1); + + // Second call - should be cache hit + let _ = embedder.encode_text(text).unwrap(); + let stats2 = embedder.cache_stats().unwrap(); + assert_eq!(stats2.misses, 1); // Still 1 + assert_eq!(stats2.hits, 1); // Now 1 + assert_eq!(stats2.size, 1); // Still 1 + + // Clear cache + embedder.clear_cache().unwrap(); + let stats3 = embedder.cache_stats().unwrap(); + assert_eq!(stats3.size, 0); + assert_eq!(stats3.hits, 0); + assert_eq!(stats3.misses, 0); + } +} diff --git a/src/toc.rs b/src/toc.rs new file mode 100644 index 0000000..7c1822f --- /dev/null +++ b/src/toc.rs @@ -0,0 +1,410 @@ +use bincode::serde::{decode_from_slice, encode_to_vec}; +use blake3::Hasher; +use serde::{Deserialize, Serialize}; + +use crate::{ + error::{MemvidError, Result}, + types::{ + Frame, IndexManifests, MemoryBinding, SegmentCatalog, SegmentMeta, TemporalTrackManifest, + TicketRef, TimeIndexManifest, Toc, + }, +}; + +#[allow(clippy::cast_possible_truncation)] +fn canonical_config() -> impl bincode::config::Config { + bincode::config::standard() + .with_fixed_int_encoding() + .with_little_endian() + .with_limit::<{ crate::MAX_INDEX_BYTES as usize }>() +} + +/// Legacy TOC format without `memories_track` field (pre-v2.0.105). +/// Used for backwards compatibility with older .mv2 files. +#[derive(Serialize, Deserialize, Debug, Clone)] +struct LegacyTocV1 { + pub toc_version: u64, + pub segments: Vec, + pub frames: Vec, + pub indexes: IndexManifests, + pub time_index: Option, + pub temporal_track: Option, + // Note: memories_track, logic_mesh, replay_manifest NOT present + pub segment_catalog: SegmentCatalog, + pub ticket_ref: TicketRef, + pub memory_binding: Option, + pub merkle_root: [u8; 32], + pub toc_checksum: [u8; 32], +} + +/// Legacy TOC format with `memories_track` but without `replay_manifest` (pre-v2.0.116). +/// Used for backwards compatibility with files created before replay feature. +#[derive(Serialize, Deserialize, Debug, Clone)] +struct LegacyTocV2 { + pub toc_version: u64, + pub segments: Vec, + pub frames: Vec, + pub indexes: IndexManifests, + pub time_index: Option, + pub temporal_track: Option, + pub memories_track: Option, + pub logic_mesh: Option, + pub segment_catalog: SegmentCatalog, + pub ticket_ref: TicketRef, + pub memory_binding: Option, + // Note: replay_manifest NOT present in this version + pub merkle_root: [u8; 32], + pub toc_checksum: [u8; 32], +} + +impl From for Toc { + fn from(legacy: LegacyTocV1) -> Self { + Toc { + toc_version: legacy.toc_version, + segments: legacy.segments, + frames: legacy.frames, + indexes: legacy.indexes, + time_index: legacy.time_index, + temporal_track: legacy.temporal_track, + memories_track: None, // Default for legacy files + logic_mesh: None, // Default for legacy files + sketch_track: None, // Default for legacy files + segment_catalog: legacy.segment_catalog, + ticket_ref: legacy.ticket_ref, + memory_binding: legacy.memory_binding, + replay_manifest: None, // Default for legacy files + enrichment_queue: Default::default(), // Default for legacy files + merkle_root: legacy.merkle_root, + toc_checksum: legacy.toc_checksum, + } + } +} + +impl From for Toc { + fn from(legacy: LegacyTocV2) -> Self { + Toc { + toc_version: legacy.toc_version, + segments: legacy.segments, + frames: legacy.frames, + indexes: legacy.indexes, + time_index: legacy.time_index, + temporal_track: legacy.temporal_track, + memories_track: legacy.memories_track, + logic_mesh: legacy.logic_mesh, + sketch_track: None, // Default for pre-sketch files + segment_catalog: legacy.segment_catalog, + ticket_ref: legacy.ticket_ref, + memory_binding: legacy.memory_binding, + replay_manifest: None, // Default for pre-replay files + enrichment_queue: Default::default(), // Default for legacy files + merkle_root: legacy.merkle_root, + toc_checksum: legacy.toc_checksum, + } + } +} + +impl Toc { + /// Serialises the TOC using the canonical bincode configuration. + pub fn encode(&self) -> Result> { + Ok(encode_to_vec(self, canonical_config())?) + } + + /// Deserialises bytes into a TOC, rejecting any trailing data. + /// Supports current format and legacy formats (pre-replay_manifest, pre-memories_track). + pub fn decode(bytes: &[u8]) -> Result { + // Try current format first (with replay_manifest) + if let Ok((toc, bytes_read)) = decode_from_slice::(bytes, canonical_config()) { + if bytes_read != bytes.len() { + return Err(MemvidError::InvalidToc { + reason: "unexpected trailing bytes".into(), + }); + } + return Ok(toc); + } + + // Try V2 format (with memories_track/logic_mesh, without replay_manifest) + if let Ok((legacy, bytes_read)) = + decode_from_slice::(bytes, canonical_config()) + { + if bytes_read != bytes.len() { + return Err(MemvidError::InvalidToc { + reason: "unexpected trailing bytes in V2 format".into(), + }); + } + tracing::debug!("Decoded TOC V2 format (pre-replay_manifest)"); + return Ok(legacy.into()); + } + + // Try V1 format (without memories_track/logic_mesh/replay_manifest) + match decode_from_slice::(bytes, canonical_config()) { + Ok((legacy, bytes_read)) => { + if bytes_read != bytes.len() { + return Err(MemvidError::InvalidToc { + reason: "unexpected trailing bytes in V1 format".into(), + }); + } + tracing::debug!("Decoded TOC V1 format (pre-memories_track)"); + Ok(legacy.into()) + } + Err(e) => Err(e.into()), + } + } + + /// Deserialises bytes into a TOC, allowing trailing data (for recovery). + /// Supports current format and legacy formats (pre-replay_manifest, pre-memories_track). + pub fn decode_lenient(bytes: &[u8]) -> Result { + // Try current format first (with replay_manifest) + if let Ok((toc, _)) = decode_from_slice::(bytes, canonical_config()) { + return Ok(toc); + } + // Try V2 format (with memories_track/logic_mesh, without replay_manifest) + if let Ok((legacy, _)) = decode_from_slice::(bytes, canonical_config()) { + tracing::debug!("Decoded TOC V2 format (pre-replay_manifest) in lenient mode"); + return Ok(legacy.into()); + } + // Try V1 format (without memories_track/logic_mesh/replay_manifest) + match decode_from_slice::(bytes, canonical_config()) { + Ok((legacy, _)) => { + tracing::debug!("Decoded TOC V1 format (pre-memories_track) in lenient mode"); + Ok(legacy.into()) + } + Err(e) => Err(e.into()), + } + } +} + +impl LegacyTocV1 { + /// Encode legacy TOC format for checksum verification. + fn encode(&self) -> Result> { + Ok(encode_to_vec(self, canonical_config())?) + } +} + +impl LegacyTocV2 { + /// Encode V2 TOC format for checksum verification. + fn encode(&self) -> Result> { + Ok(encode_to_vec(self, canonical_config())?) + } +} + +impl Toc { + /// Computes the BLAKE3 checksum used for the TOC integrity field. + #[must_use] + pub fn calculate_checksum(bytes: &[u8]) -> [u8; 32] { + let mut hasher = Hasher::new(); + hasher.update(bytes); + *hasher.finalize().as_bytes() + } + + /// Verifies that the stored TOC checksum matches the deterministic encoding. + /// Supports current format and legacy format checksums for backwards compatibility. + pub fn verify_checksum(&self) -> Result<()> { + // Try current format first (with replay_manifest) + let mut clone = self.clone(); + clone.toc_checksum = [0u8; 32]; + let bytes = clone.encode()?; + let digest = Self::calculate_checksum(&bytes); + if digest == self.toc_checksum { + return Ok(()); + } + + // Try V2 format (with memories_track/logic_mesh, without replay_manifest) + // Only try if replay_manifest is None (indicates pre-replay origin) + if self.replay_manifest.is_none() { + let legacy_v2 = LegacyTocV2 { + toc_version: self.toc_version, + segments: self.segments.clone(), + frames: self.frames.clone(), + indexes: self.indexes.clone(), + time_index: self.time_index.clone(), + temporal_track: self.temporal_track.clone(), + memories_track: self.memories_track.clone(), + logic_mesh: self.logic_mesh.clone(), + segment_catalog: self.segment_catalog.clone(), + ticket_ref: self.ticket_ref.clone(), + memory_binding: self.memory_binding.clone(), + merkle_root: self.merkle_root, + toc_checksum: [0u8; 32], + }; + let v2_bytes = legacy_v2.encode()?; + let v2_digest = Self::calculate_checksum(&v2_bytes); + if v2_digest == self.toc_checksum { + tracing::debug!("TOC checksum verified using V2 format (pre-replay)"); + return Ok(()); + } + } + + // Try V1 format (without memories_track/logic_mesh/replay_manifest) + // Only try if memories_track is None (indicates V1 origin) + if self.memories_track.is_none() && self.replay_manifest.is_none() { + let legacy_v1 = LegacyTocV1 { + toc_version: self.toc_version, + segments: self.segments.clone(), + frames: self.frames.clone(), + indexes: self.indexes.clone(), + time_index: self.time_index.clone(), + temporal_track: self.temporal_track.clone(), + segment_catalog: self.segment_catalog.clone(), + ticket_ref: self.ticket_ref.clone(), + memory_binding: self.memory_binding.clone(), + merkle_root: self.merkle_root, + toc_checksum: [0u8; 32], + }; + let v1_bytes = legacy_v1.encode()?; + let v1_digest = Self::calculate_checksum(&v1_bytes); + if v1_digest == self.toc_checksum { + tracing::debug!("TOC checksum verified using V1 format (pre-memories_track)"); + return Ok(()); + } + } + + Err(MemvidError::ChecksumMismatch { context: "toc" }) + } +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::types::{ + CanonicalEncoding, Frame, FrameId, FrameRole, FrameStatus, IndexManifests, SegmentCatalog, + SegmentCompression, SegmentMeta, TicketRef, TimeIndexManifest, + }; + use std::collections::BTreeMap; + + fn sample_toc() -> Toc { + Toc { + toc_version: 1, + segments: vec![SegmentMeta { + id: 0, + frame_range: (0, 2), + primary_checksum: [0x11; 32], + compression: SegmentCompression::None, + bytes_offset: 4096, + bytes_length: 512, + }], + frames: vec![ + Frame { + id: 0 as FrameId, + timestamp: 1_700_000_000, + anchor_ts: None, + anchor_source: None, + kind: Some("text".into()), + track: Some("default".into()), + payload_offset: 4096, + payload_length: 128, + checksum: [0x22; 32], + uri: Some("mv2://sample/0".into()), + title: Some("Sample 0".into()), + canonical_encoding: CanonicalEncoding::Plain, + canonical_length: Some(128), + metadata: None, + search_text: None, + tags: Vec::new(), + labels: Vec::new(), + extra_metadata: BTreeMap::new(), + content_dates: Vec::new(), + role: FrameRole::Document, + parent_id: None, + chunk_index: None, + chunk_count: None, + chunk_manifest: None, + status: FrameStatus::Active, + supersedes: None, + superseded_by: None, + source_sha256: None, + source_path: None, + enrichment_state: crate::types::EnrichmentState::default(), + }, + Frame { + id: 1 as FrameId, + timestamp: 1_700_000_100, + anchor_ts: None, + anchor_source: None, + kind: None, + track: None, + payload_offset: 4224, + payload_length: 64, + checksum: [0x33; 32], + uri: Some("mv2://sample/1".into()), + title: Some("Sample 1".into()), + canonical_encoding: CanonicalEncoding::Plain, + canonical_length: Some(64), + metadata: None, + search_text: None, + tags: Vec::new(), + labels: Vec::new(), + extra_metadata: BTreeMap::new(), + content_dates: Vec::new(), + role: FrameRole::Document, + parent_id: None, + chunk_index: None, + chunk_count: None, + chunk_manifest: None, + status: FrameStatus::Active, + supersedes: None, + superseded_by: None, + source_sha256: None, + source_path: None, + enrichment_state: crate::types::EnrichmentState::default(), + }, + ], + indexes: IndexManifests::default(), + time_index: Some(TimeIndexManifest { + bytes_offset: 8192, + bytes_length: 96, + entry_count: 2, + checksum: [0x44; 32], + }), + temporal_track: None, + memories_track: None, + logic_mesh: None, + sketch_track: None, + segment_catalog: SegmentCatalog::default(), + ticket_ref: TicketRef { + issuer: "memvid".into(), + seq_no: 0, + expires_in_secs: 3600, + capacity_bytes: 0, + verified: false, + }, + memory_binding: None, + replay_manifest: None, + enrichment_queue: Default::default(), + merkle_root: [0x55; 32], + toc_checksum: [0u8; 32], + } + } + + fn stamp_checksum(mut toc: Toc) -> Toc { + let mut checksum_target = toc.clone(); + checksum_target.toc_checksum = [0u8; 32]; + let bytes = checksum_target.encode().expect("encode for checksum"); + toc.toc_checksum = Toc::calculate_checksum(&bytes); + toc + } + + #[test] + fn serialize_deserialize_roundtrip() { + let toc = stamp_checksum(sample_toc()); + let encoded = toc.encode().expect("encode toc"); + let decoded = Toc::decode(&encoded).expect("decode toc"); + decoded.verify_checksum().expect("checksum matches"); + assert_eq!(decoded.toc_checksum, toc.toc_checksum); + } + + #[test] + fn detect_checksum_mismatch() { + let mut toc = stamp_checksum(sample_toc()); + toc.toc_checksum[0] ^= 0xFF; + let err = toc.verify_checksum().expect_err("must fail"); + matches!(err, MemvidError::ChecksumMismatch { .. }); + } + + #[test] + fn reject_trailing_bytes() { + let toc = stamp_checksum(sample_toc()); + let mut bytes = toc.encode().expect("encode toc"); + bytes.push(0); + let err = Toc::decode(&bytes).expect_err("should reject"); + matches!(err, MemvidError::InvalidToc { .. }); + } +} diff --git a/src/triplet/extractor.rs b/src/triplet/extractor.rs new file mode 100644 index 0000000..5150ac0 --- /dev/null +++ b/src/triplet/extractor.rs @@ -0,0 +1,292 @@ +//! Triplet extractor that wraps enrichment engines for automatic extraction. +//! +//! The extractor uses the configured `ExtractionMode` to determine which +//! engines to run. By default, it uses the `RulesEngine` for fast, offline +//! pattern-based extraction. + +use std::time::Instant; + +use crate::enrich::{EnrichmentContext, EnrichmentEngine, RulesEngine}; +use crate::types::{FrameId, MemoryCard}; + +use super::types::{ExtractionMode, ExtractionStats}; + +/// Triplet extractor that runs enrichment engines on text. +/// +/// The extractor is stateless and can be reused across multiple extractions. +/// It wraps the existing `RulesEngine` and adds support for LLM extraction +/// when configured. +#[derive(Debug)] +pub struct TripletExtractor { + mode: ExtractionMode, + rules_engine: RulesEngine, +} + +impl Default for TripletExtractor { + fn default() -> Self { + Self::new(ExtractionMode::default()) + } +} + +impl TripletExtractor { + /// Create a new triplet extractor with the given mode. + #[must_use] + pub fn new(mode: ExtractionMode) -> Self { + Self { + mode, + rules_engine: RulesEngine::new(), + } + } + + /// Create an extractor with rules-only mode (default). + #[must_use] + pub fn rules_only() -> Self { + Self::new(ExtractionMode::Rules) + } + + /// Create an extractor with hybrid mode. + #[must_use] + pub fn hybrid() -> Self { + Self::new(ExtractionMode::Hybrid) + } + + /// Create a disabled extractor (no extraction). + #[must_use] + pub fn disabled() -> Self { + Self::new(ExtractionMode::Disabled) + } + + /// Get the current extraction mode. + #[must_use] + pub fn mode(&self) -> &ExtractionMode { + &self.mode + } + + /// Set the extraction mode. + pub fn set_mode(&mut self, mode: ExtractionMode) { + self.mode = mode; + } + + /// Check if extraction is enabled. + #[must_use] + pub fn is_enabled(&self) -> bool { + self.mode.is_enabled() + } + + /// Extract triplets from text and convert to memory cards. + /// + /// # Arguments + /// * `frame_id` - The frame ID for provenance tracking + /// * `text` - The text to extract triplets from + /// * `uri` - Optional URI for provenance + /// * `title` - Optional title for context + /// * `timestamp` - Unix timestamp when the content was created + /// + /// # Returns + /// A tuple of (extracted cards, extraction stats) + pub fn extract( + &self, + frame_id: FrameId, + text: &str, + uri: Option<&str>, + title: Option<&str>, + timestamp: i64, + ) -> (Vec, ExtractionStats) { + if !self.mode.is_enabled() { + return (Vec::new(), ExtractionStats::default()); + } + + let start = Instant::now(); + let mut all_cards = Vec::new(); + + // Run rules-based extraction + if self.mode.should_run_rules() { + let ctx = EnrichmentContext::new( + frame_id, + uri.unwrap_or(&format!("mv2://frames/{frame_id}")) + .to_string(), + text.to_string(), + title.map(String::from), + timestamp, + None, + ); + + let result = self.rules_engine.enrich(&ctx); + if result.success { + all_cards.extend(result.cards); + } + } + + // Run LLM-based extraction + let llm_count = if self.mode.should_run_llm() { + tracing::debug!( + target: "memvid::triplet", + "LLM extraction requested" + ); + 0 + } else { + 0 + }; + + let elapsed_ms = start.elapsed().as_millis().try_into().unwrap_or(u64::MAX); + let rules_count = all_cards.len(); + + // Deduplicate cards with same entity:slot + let (unique_cards, dedup_count) = deduplicate_cards(all_cards); + + let mut stats = ExtractionStats::from_rules(rules_count, elapsed_ms); + stats.add_llm(llm_count); + stats.record_dedup(dedup_count); + + (unique_cards, stats) + } + + /// Extract triplets from an existing `EnrichmentContext`. + /// + /// This is useful when you already have a context from the enrichment pipeline. + #[must_use] + pub fn extract_from_context( + &self, + ctx: &EnrichmentContext, + ) -> (Vec, ExtractionStats) { + self.extract( + ctx.frame_id, + &ctx.text, + Some(&ctx.uri), + ctx.title.as_deref(), + ctx.timestamp, + ) + } +} + +/// Deduplicate cards by entity:slot, keeping the highest confidence one. +fn deduplicate_cards(mut cards: Vec) -> (Vec, usize) { + use std::collections::HashMap; + + if cards.is_empty() { + return (cards, 0); + } + + let original_count = cards.len(); + + // Group by entity:slot, keep highest confidence + let mut seen: HashMap = HashMap::new(); + let mut keep = vec![true; cards.len()]; + + for (i, card) in cards.iter().enumerate() { + let key = card.default_version_key(); + if let Some(&existing_idx) = seen.get(&key) { + // Compare confidence, keep higher one + let existing_conf = cards[existing_idx].confidence.unwrap_or(0.0); + let current_conf = card.confidence.unwrap_or(0.0); + if current_conf > existing_conf { + keep[existing_idx] = false; + seen.insert(key, i); + } else { + keep[i] = false; + } + } else { + seen.insert(key, i); + } + } + + // Remove duplicates in reverse order to maintain indices + for i in (0..cards.len()).rev() { + if !keep[i] { + cards.remove(i); + } + } + + let removed = original_count - cards.len(); + (cards, removed) +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_extractor_default() { + let extractor = TripletExtractor::default(); + assert_eq!(*extractor.mode(), ExtractionMode::Rules); + assert!(extractor.is_enabled()); + } + + #[test] + fn test_extractor_disabled() { + let extractor = TripletExtractor::disabled(); + assert!(!extractor.is_enabled()); + + let (cards, stats) = extractor.extract(1, "I work at Anthropic", None, None, 0); + assert!(cards.is_empty()); + assert_eq!(stats.total_stored, 0); + } + + #[test] + fn test_extractor_rules() { + let extractor = TripletExtractor::rules_only(); + + let (cards, stats) = extractor.extract( + 1, + "I work at Anthropic. I live in San Francisco.", + Some("mv2://test/1"), + Some("Test"), + 1700000000, + ); + + assert!(!cards.is_empty()); + assert!(stats.rules_extracted > 0); + assert_eq!(stats.llm_extracted, 0); + + // Verify card structure + let employer_card = cards.iter().find(|c| c.slot == "employer"); + assert!(employer_card.is_some()); + let card = employer_card.unwrap(); + assert_eq!(card.entity, "user"); + assert_eq!(card.value, "Anthropic"); + assert_eq!(card.source_frame_id, 1); + } + + #[test] + fn test_extractor_no_matches() { + let extractor = TripletExtractor::rules_only(); + + let (cards, stats) = extractor.extract(1, "The weather is nice today.", None, None, 0); + + assert!(cards.is_empty()); + assert_eq!(stats.rules_extracted, 0); + } + + #[test] + fn test_deduplicate_cards() { + use crate::types::MemoryCardBuilder; + + let cards = vec![ + MemoryCardBuilder::new() + .fact() + .entity("user") + .slot("employer") + .value("Company A") + .source(1, None) + .engine("rules", "1.0.0") + .confidence(0.8) + .build(0) + .unwrap(), + MemoryCardBuilder::new() + .fact() + .entity("user") + .slot("employer") + .value("Company B") + .source(1, None) + .engine("rules", "1.0.0") + .confidence(0.9) // Higher confidence + .build(0) + .unwrap(), + ]; + + let (unique, removed) = deduplicate_cards(cards); + assert_eq!(unique.len(), 1); + assert_eq!(removed, 1); + assert_eq!(unique[0].value, "Company B"); // Higher confidence kept + } +} diff --git a/src/triplet/mod.rs b/src/triplet/mod.rs new file mode 100644 index 0000000..e637e73 --- /dev/null +++ b/src/triplet/mod.rs @@ -0,0 +1,54 @@ +//! Automatic triplet extraction for structured knowledge storage. +//! +//! This module provides automatic Subject-Predicate-Object (SPO) triplet +//! extraction during document ingestion. Triplets are stored as `MemoryCard`s, +//! which already have the SPO structure: entity=Subject, slot=Predicate, value=Object. +//! +//! # Architecture +//! +//! ```text +//! Document → TripletExtractor → MemoryCard → MemoriesTrack → SlotIndex +//! ↓ +//! ┌────────┴────────┐ +//! │ RulesEngine │ ← Fast, offline pattern matching +//! │ (LLM Engine) │ ← When configured (future) +//! └─────────────────┘ +//! ``` +//! +//! # Usage +//! +//! Triplet extraction is enabled by default during `put` operations. +//! Use the `--no-extract-triplets` CLI flag to disable it. +//! +//! ```ignore +//! use memvid_core::triplet::{TripletExtractor, ExtractionMode}; +//! +//! // Default: rules-based extraction +//! let extractor = TripletExtractor::default(); +//! +//! // Extract triplets from text +//! let (cards, stats) = extractor.extract( +//! frame_id, +//! "Alice works at Acme Corp. She lives in San Francisco.", +//! Some("mv2://docs/bio.txt"), +//! Some("Alice's Bio"), +//! 1700000000, +//! ); +//! +//! // cards contain: +//! // - MemoryCard { entity: "user", slot: "employer", value: "Acme Corp" } +//! // - MemoryCard { entity: "user", slot: "location", value: "San Francisco" } +//! ``` +//! +//! # Extraction Modes +//! +//! - **Rules** (default): Fast regex-based pattern matching. No external dependencies. +//! - **Llm**: LLM-based extraction for complex sentences. Requires model configuration. +//! - **Hybrid**: Run both rules and LLM, deduplicate results. Auto-enabled when LLM configured. +//! - **Disabled**: No extraction. + +mod extractor; +mod types; + +pub use extractor::TripletExtractor; +pub use types::{ExtractionMode, ExtractionStats}; diff --git a/src/triplet/types.rs b/src/triplet/types.rs new file mode 100644 index 0000000..b9ff130 --- /dev/null +++ b/src/triplet/types.rs @@ -0,0 +1,153 @@ +//! Triplet extraction types for structured knowledge extraction. +//! +//! Triplets are Subject-Predicate-Object relationships extracted from text. +//! They map directly to `MemoryCards`: entity=Subject, slot=Predicate, value=Object. + +use serde::{Deserialize, Serialize}; + +/// Extraction mode for triplet extraction. +#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)] +#[serde(rename_all = "snake_case")] +pub enum ExtractionMode { + /// Fast, offline pattern-based extraction (default). + /// Uses regex patterns to identify common relationship patterns. + Rules, + /// LLM-based extraction for complex sentences. + /// Requires an LLM model to be configured. + Llm(String), + /// Hybrid mode: run both rules and LLM, deduplicate results. + /// Automatically enabled when LLM is configured. + Hybrid, + /// Extraction disabled. + Disabled, +} + +impl Default for ExtractionMode { + fn default() -> Self { + Self::Rules + } +} + +impl ExtractionMode { + /// Check if extraction is enabled. + #[must_use] + pub fn is_enabled(&self) -> bool { + !matches!(self, Self::Disabled) + } + + /// Check if rules extraction should run. + #[must_use] + pub fn should_run_rules(&self) -> bool { + matches!(self, Self::Rules | Self::Hybrid) + } + + /// Check if LLM extraction should run. + #[must_use] + pub fn should_run_llm(&self) -> bool { + matches!(self, Self::Llm(_) | Self::Hybrid) + } + + /// Get the LLM model name if configured. + #[must_use] + pub fn llm_model(&self) -> Option<&str> { + match self { + Self::Llm(model) => Some(model), + _ => None, + } + } +} + +/// Statistics from a triplet extraction run. +#[derive(Debug, Clone, Default, Serialize, Deserialize)] +pub struct ExtractionStats { + /// Number of triplets extracted via rules. + pub rules_extracted: usize, + /// Number of triplets extracted via LLM. + pub llm_extracted: usize, + /// Number of duplicate triplets removed. + pub duplicates_removed: usize, + /// Total triplets stored. + pub total_stored: usize, + /// Extraction time in milliseconds. + pub extraction_time_ms: u64, +} + +impl ExtractionStats { + /// Create stats for rules-only extraction. + #[must_use] + pub fn from_rules(count: usize, time_ms: u64) -> Self { + Self { + rules_extracted: count, + llm_extracted: 0, + duplicates_removed: 0, + total_stored: count, + extraction_time_ms: time_ms, + } + } + + /// Merge stats from LLM extraction. + pub fn add_llm(&mut self, count: usize) { + self.llm_extracted = count; + self.total_stored += count; + } + + /// Record duplicate removal. + pub fn record_dedup(&mut self, removed: usize) { + self.duplicates_removed = removed; + self.total_stored = self.total_stored.saturating_sub(removed); + } +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_extraction_mode_default() { + let mode = ExtractionMode::default(); + assert_eq!(mode, ExtractionMode::Rules); + assert!(mode.is_enabled()); + assert!(mode.should_run_rules()); + assert!(!mode.should_run_llm()); + } + + #[test] + fn test_extraction_mode_llm() { + let mode = ExtractionMode::Llm("gpt-4".to_string()); + assert!(mode.is_enabled()); + assert!(!mode.should_run_rules()); + assert!(mode.should_run_llm()); + assert_eq!(mode.llm_model(), Some("gpt-4")); + } + + #[test] + fn test_extraction_mode_hybrid() { + let mode = ExtractionMode::Hybrid; + assert!(mode.is_enabled()); + assert!(mode.should_run_rules()); + assert!(mode.should_run_llm()); + } + + #[test] + fn test_extraction_mode_disabled() { + let mode = ExtractionMode::Disabled; + assert!(!mode.is_enabled()); + assert!(!mode.should_run_rules()); + assert!(!mode.should_run_llm()); + } + + #[test] + fn test_extraction_stats() { + let mut stats = ExtractionStats::from_rules(5, 100); + assert_eq!(stats.rules_extracted, 5); + assert_eq!(stats.total_stored, 5); + + stats.add_llm(3); + assert_eq!(stats.llm_extracted, 3); + assert_eq!(stats.total_stored, 8); + + stats.record_dedup(2); + assert_eq!(stats.duplicates_removed, 2); + assert_eq!(stats.total_stored, 6); + } +} diff --git a/src/types/acl.rs b/src/types/acl.rs new file mode 100644 index 0000000..ec39e00 --- /dev/null +++ b/src/types/acl.rs @@ -0,0 +1,47 @@ +//! ACL request context and metadata contract types. + +use serde::{Deserialize, Serialize}; + +/// Required frame metadata key for tenant isolation. +pub const ACL_TENANT_ID_KEY: &str = "acl_tenant_id"; +/// Optional resource lineage identifier. +pub const ACL_RESOURCE_ID_KEY: &str = "acl_resource_id"; +/// Visibility policy (`public` or `restricted`). +pub const ACL_VISIBILITY_KEY: &str = "acl_visibility"; +/// Read allow-list by role (canonical JSON string array). +pub const ACL_READ_ROLES_KEY: &str = "acl_read_roles"; +/// Read allow-list by group ID (canonical JSON string array). +pub const ACL_READ_GROUPS_KEY: &str = "acl_read_groups"; +/// Read allow-list by subject/principal ID (canonical JSON string array). +pub const ACL_READ_PRINCIPALS_KEY: &str = "acl_read_principals"; +/// ACL policy schema version marker. +pub const ACL_POLICY_VERSION_KEY: &str = "acl_policy_version"; + +/// Enforcement mode for ACL checks. +/// +/// - `audit`: evaluate ACL and collect deny signals, but do not block hits. +/// - `enforce`: deny-by-default when ACL metadata is missing/invalid or not allowed. +#[derive(Debug, Clone, Copy, Serialize, Deserialize, Eq, PartialEq, Default)] +#[serde(rename_all = "snake_case")] +pub enum AclEnforcementMode { + #[default] + Audit, + Enforce, +} + +/// Caller identity context used to evaluate ACL policies at retrieval time. +#[derive(Debug, Clone, Serialize, Deserialize, Eq, PartialEq, Default)] +pub struct AclContext { + /// Tenant ID for strict cross-tenant isolation. + #[serde(default, skip_serializing_if = "Option::is_none")] + pub tenant_id: Option, + /// Subject/principal ID of the caller. + #[serde(default, skip_serializing_if = "Option::is_none")] + pub subject_id: Option, + /// Caller roles used for RBAC checks. + #[serde(default, skip_serializing_if = "Vec::is_empty")] + pub roles: Vec, + /// Caller group IDs used for group-based ACL checks. + #[serde(default, skip_serializing_if = "Vec::is_empty")] + pub group_ids: Vec, +} diff --git a/src/types/adaptive.rs b/src/types/adaptive.rs new file mode 100644 index 0000000..80f4a42 --- /dev/null +++ b/src/types/adaptive.rs @@ -0,0 +1,816 @@ +//! Adaptive retrieval configuration and algorithms. +//! +//! Adaptive retrieval dynamically determines how many results to return based on +//! relevancy score distribution, rather than using a fixed `k`. This ensures: +//! - All relevant results are included (no "missing answers") +//! - Irrelevant results are excluded (reduced noise) +//! - Different queries get appropriate amounts of context +//! +//! # Example +//! +//! ```ignore +//! use memvid_core::adaptive::{AdaptiveConfig, CutoffStrategy}; +//! +//! // Configure adaptive retrieval +//! let config = AdaptiveConfig { +//! enabled: true, +//! max_results: 100, +//! strategy: CutoffStrategy::RelativeThreshold { min_ratio: 0.5 }, +//! ..Default::default() +//! }; +//! +//! // Search with adaptive retrieval +//! let results = memvid.search_adaptive(&query, config)?; +//! // Returns all results above 50% of top score's relevancy +//! ``` +//! +//! # Strategies +//! +//! - **`AbsoluteThreshold`**: Stop when score drops below a fixed value (e.g., 0.7) +//! - **`RelativeThreshold`**: Stop when score drops below X% of the top score +//! - **`ScoreCliff`**: Stop when score drops by more than X% from previous result +//! - **Elbow**: Automatically detect the "knee" in the score curve +//! - **Combined**: Use multiple strategies together + +use serde::{Deserialize, Serialize}; + +/// Configuration for adaptive retrieval. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct AdaptiveConfig { + /// Enable adaptive retrieval (if false, uses fixed `top_k`). + #[serde(default = "default_enabled")] + pub enabled: bool, + + /// Maximum results to consider (over-retrieval limit). + /// Set high enough to capture all potentially relevant results. + #[serde(default = "default_max_results")] + pub max_results: usize, + + /// Minimum results to return regardless of scores. + #[serde(default = "default_min_results")] + pub min_results: usize, + + /// Strategy for determining cutoff point. + #[serde(default)] + pub strategy: CutoffStrategy, + + /// If true, normalize scores to 0-1 range before applying strategy. + #[serde(default = "default_normalize")] + pub normalize_scores: bool, +} + +fn default_enabled() -> bool { + true +} +fn default_max_results() -> usize { + 100 +} +fn default_min_results() -> usize { + 1 +} +fn default_normalize() -> bool { + true +} + +impl Default for AdaptiveConfig { + fn default() -> Self { + Self { + enabled: true, + max_results: 100, + min_results: 1, + strategy: CutoffStrategy::default(), + normalize_scores: true, + } + } +} + +impl AdaptiveConfig { + /// Create a config with absolute threshold strategy. + #[must_use] + pub fn with_absolute_threshold(min_score: f32) -> Self { + Self { + strategy: CutoffStrategy::AbsoluteThreshold { min_score }, + ..Default::default() + } + } + + /// Create a config with relative threshold strategy. + #[must_use] + pub fn with_relative_threshold(min_ratio: f32) -> Self { + Self { + strategy: CutoffStrategy::RelativeThreshold { min_ratio }, + ..Default::default() + } + } + + /// Create a config with score cliff detection. + #[must_use] + pub fn with_score_cliff(max_drop_ratio: f32) -> Self { + Self { + strategy: CutoffStrategy::ScoreCliff { max_drop_ratio }, + ..Default::default() + } + } + + /// Create a config with automatic elbow detection. + #[must_use] + pub fn with_elbow_detection() -> Self { + Self { + strategy: CutoffStrategy::Elbow { sensitivity: 1.0 }, + ..Default::default() + } + } + + /// Create a combined strategy (recommended for production). + #[must_use] + pub fn combined(min_ratio: f32, max_drop: f32, min_score: f32) -> Self { + Self { + strategy: CutoffStrategy::Combined { + relative_threshold: min_ratio, + max_drop_ratio: max_drop, + absolute_min: min_score, + }, + ..Default::default() + } + } +} + +/// Strategy for determining where to cut off results. +#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)] +#[serde(tag = "type", rename_all = "snake_case")] +pub enum CutoffStrategy { + /// Stop when score drops below a fixed threshold. + /// + /// Good for: Well-calibrated scores where you know what "relevant" means. + /// Example: `min_score=0.7` means only results with score >= 0.7 are included. + AbsoluteThreshold { + /// Minimum acceptable score (0.0-1.0 for normalized, varies otherwise). + min_score: f32, + }, + + /// Stop when score drops below X% of the top result's score. + /// + /// Good for: Relative relevancy where top result sets the baseline. + /// Example: `min_ratio=0.5` means include results with score >= 50% of top score. + RelativeThreshold { + /// Minimum ratio vs top score (0.0-1.0). + min_ratio: f32, + }, + + /// Stop when score drops by more than X% from the previous result. + /// + /// Good for: Detecting natural breaks in relevancy. + /// Example: `max_drop_ratio=0.3` stops when score drops 30% from previous. + ScoreCliff { + /// Maximum allowed drop ratio between consecutive results (0.0-1.0). + max_drop_ratio: f32, + }, + + /// Automatically detect the "elbow" point in the score curve. + /// + /// Good for: Unknown score distributions, automatic tuning. + /// Uses the Kneedle algorithm to find maximum curvature. + Elbow { + /// Sensitivity multiplier (1.0 = normal, higher = more aggressive cutoff). + sensitivity: f32, + }, + + /// Combine multiple strategies (stop when ANY condition is met). + /// + /// Recommended for production use - provides multiple safety nets. + Combined { + /// Minimum ratio vs top score. + relative_threshold: f32, + /// Maximum drop from previous result. + max_drop_ratio: f32, + /// Absolute minimum score. + absolute_min: f32, + }, +} + +impl Default for CutoffStrategy { + fn default() -> Self { + // Default: Combined strategy with reasonable defaults + Self::Combined { + relative_threshold: 0.5, // At least 50% of top score + max_drop_ratio: 0.4, // Stop if 40% drop from previous + absolute_min: 0.3, // Never go below 0.3 (normalized) + } + } +} + +/// Result of adaptive retrieval with statistics. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct AdaptiveResult { + /// The filtered results. + pub results: Vec, + + /// Statistics about the adaptive retrieval. + pub stats: AdaptiveStats, +} + +/// Statistics from adaptive retrieval. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct AdaptiveStats { + /// Total results considered (before cutoff). + pub total_considered: usize, + + /// Results returned (after cutoff). + pub returned: usize, + + /// Index where cutoff occurred. + pub cutoff_index: usize, + + /// Score at cutoff point. + pub cutoff_score: Option, + + /// Top score (first result). + pub top_score: Option, + + /// Score at cutoff as ratio of top score. + pub cutoff_ratio: Option, + + /// Which strategy triggered the cutoff. + pub triggered_by: String, +} + +impl AdaptiveResult { + /// Create an empty result. + #[must_use] + pub fn empty() -> Self { + Self { + results: Vec::new(), + stats: AdaptiveStats { + total_considered: 0, + returned: 0, + cutoff_index: 0, + cutoff_score: None, + top_score: None, + cutoff_ratio: None, + triggered_by: "no_results".to_string(), + }, + } + } +} + +/// Score with index for cutoff calculation. +#[derive(Debug, Clone, Copy)] +pub struct ScoredIndex { + pub index: usize, + pub score: f32, + pub normalized_score: f32, +} + +/// Statistics about embedding quality across all vectors in a memory. +/// +/// This provides insight into how well the embeddings are distributed +/// and what adaptive retrieval behavior to expect. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct EmbeddingQualityStats { + /// Total number of vectors in the index. + pub vector_count: usize, + + /// Embedding dimension. + pub dimension: usize, + + /// Average pairwise similarity (higher = more similar embeddings). + /// Range: 0.0 (orthogonal) to 1.0 (identical). + pub avg_similarity: f32, + + /// Minimum pairwise similarity found. + pub min_similarity: f32, + + /// Maximum pairwise similarity found (excluding self-similarity). + pub max_similarity: f32, + + /// Standard deviation of similarities. + pub std_similarity: f32, + + /// Clustering coefficient: how tightly grouped the embeddings are. + /// Higher values mean embeddings are more similar to each other. + pub clustering_coefficient: f32, + + /// Estimated number of distinct clusters (based on similarity gaps). + pub estimated_clusters: usize, + + /// Recommended `min_relevancy` threshold based on the distribution. + pub recommended_threshold: f32, + + /// Quality assessment: "excellent", "good", "fair", "poor". + pub quality_rating: String, + + /// Human-readable explanation of the quality. + pub quality_explanation: String, +} + +impl Default for EmbeddingQualityStats { + fn default() -> Self { + Self { + vector_count: 0, + dimension: 0, + avg_similarity: 0.0, + min_similarity: 0.0, + max_similarity: 0.0, + std_similarity: 0.0, + clustering_coefficient: 0.0, + estimated_clusters: 0, + recommended_threshold: 0.5, + quality_rating: "unknown".to_string(), + quality_explanation: "No vectors available for analysis".to_string(), + } + } +} + +/// Compute embedding quality statistics from a set of embeddings. +/// +/// This samples pairwise similarities to assess the overall distribution. +/// For large datasets, it uses sampling to keep computation tractable. +pub fn compute_embedding_quality(embeddings: &[(u64, Vec)]) -> EmbeddingQualityStats { + if embeddings.is_empty() { + return EmbeddingQualityStats::default(); + } + + let vector_count = embeddings.len(); + let dimension = embeddings.first().map_or(0, |(_, v)| v.len()); + + if vector_count < 2 { + return EmbeddingQualityStats { + vector_count, + dimension, + quality_rating: "insufficient".to_string(), + quality_explanation: "Need at least 2 vectors for quality analysis".to_string(), + ..Default::default() + }; + } + + // Sample pairs for similarity computation (limit to avoid O(n²) explosion) + let max_pairs = 1000; + let mut similarities: Vec = Vec::new(); + + // If small enough, compute all pairs; otherwise sample + if vector_count * (vector_count - 1) / 2 <= max_pairs { + // Compute all pairwise similarities + for i in 0..vector_count { + for j in (i + 1)..vector_count { + let sim = cosine_similarity(&embeddings[i].1, &embeddings[j].1); + similarities.push(sim); + } + } + } else { + // Sample random pairs + use std::collections::HashSet; + let mut seen: HashSet<(usize, usize)> = HashSet::new(); + let mut rng_state: u64 = 12345; // Simple LCG for deterministic sampling + + while similarities.len() < max_pairs { + // Simple LCG random + rng_state = rng_state.wrapping_mul(6364136223846793005).wrapping_add(1); + let i = usize::try_from(rng_state % (vector_count as u64)).unwrap_or(0); + rng_state = rng_state.wrapping_mul(6364136223846793005).wrapping_add(1); + let j = usize::try_from(rng_state % (vector_count as u64)).unwrap_or(0); + + if i != j { + let pair = if i < j { (i, j) } else { (j, i) }; + if seen.insert(pair) { + let sim = cosine_similarity(&embeddings[i].1, &embeddings[j].1); + similarities.push(sim); + } + } + } + } + + if similarities.is_empty() { + return EmbeddingQualityStats { + vector_count, + dimension, + quality_rating: "error".to_string(), + quality_explanation: "Could not compute similarities".to_string(), + ..Default::default() + }; + } + + // Compute statistics + let n = similarities.len() as f32; + let avg_similarity: f32 = similarities.iter().sum::() / n; + let min_similarity = similarities.iter().copied().fold(f32::INFINITY, f32::min); + let max_similarity = similarities + .iter() + .copied() + .fold(f32::NEG_INFINITY, f32::max); + + let variance: f32 = similarities + .iter() + .map(|s| (s - avg_similarity).powi(2)) + .sum::() + / n; + let std_similarity = variance.sqrt(); + + // Clustering coefficient: proportion of similarities above average + let above_avg = similarities.iter().filter(|&&s| s > avg_similarity).count(); + let clustering_coefficient = above_avg as f32 / similarities.len() as f32; + + // Estimate clusters by looking at similarity distribution + // Sort and look for gaps + let mut sorted_sims = similarities.clone(); + sorted_sims.sort_by(|a, b| a.partial_cmp(b).unwrap_or(std::cmp::Ordering::Equal)); + + let mut gaps = 0; + let gap_threshold = std_similarity * 1.5; + for i in 1..sorted_sims.len() { + if sorted_sims[i] - sorted_sims[i - 1] > gap_threshold { + gaps += 1; + } + } + let estimated_clusters = (gaps + 1).min(vector_count); + + // Recommended threshold based on distribution + // If high avg similarity, use higher threshold; if low, use lower + let recommended_threshold = if avg_similarity > 0.7 { + 0.6 // High similarity corpus - be more selective + } else if avg_similarity > 0.5 { + 0.5 // Medium similarity - balanced + } else if avg_similarity > 0.3 { + 0.4 // Lower similarity - be more inclusive + } else { + 0.3 // Very diverse corpus - include more results + }; + + // Quality rating based on distribution characteristics + let (quality_rating, quality_explanation) = if std_similarity < 0.1 && avg_similarity > 0.8 { + ( + "poor".to_string(), + "Embeddings are too similar - may indicate duplicate content or poor embedding model" + .to_string(), + ) + } else if std_similarity > 0.3 && avg_similarity < 0.3 { + ( + "excellent".to_string(), + "Well-distributed embeddings with clear separation between topics".to_string(), + ) + } else if std_similarity > 0.2 && avg_similarity < 0.5 { + ( + "good".to_string(), + "Good embedding distribution with reasonable topic separation".to_string(), + ) + } else if std_similarity > 0.1 { + ( + "fair".to_string(), + "Moderate embedding distribution - some topic overlap".to_string(), + ) + } else { + ( + "limited".to_string(), + "Limited variation in embeddings - consider more diverse content".to_string(), + ) + }; + + EmbeddingQualityStats { + vector_count, + dimension, + avg_similarity, + min_similarity, + max_similarity, + std_similarity, + clustering_coefficient, + estimated_clusters, + recommended_threshold, + quality_rating, + quality_explanation, + } +} + +/// Compute cosine similarity between two vectors. +fn cosine_similarity(a: &[f32], b: &[f32]) -> f32 { + if a.len() != b.len() || a.is_empty() { + return 0.0; + } + + let dot: f32 = a.iter().zip(b.iter()).map(|(x, y)| x * y).sum(); + let norm_a: f32 = a.iter().map(|x| x * x).sum::().sqrt(); + let norm_b: f32 = b.iter().map(|x| x * x).sum::().sqrt(); + + if norm_a < f32::EPSILON || norm_b < f32::EPSILON { + return 0.0; + } + + (dot / (norm_a * norm_b)).clamp(-1.0, 1.0) +} + +/// Find the adaptive cutoff point for a list of scores. +/// +/// Returns (`cutoff_index`, `triggered_by_strategy`). +/// Results at indices `0..cutoff_index` should be included. +#[must_use] +pub fn find_adaptive_cutoff(scores: &[f32], config: &AdaptiveConfig) -> (usize, String) { + if scores.is_empty() { + return (0, "no_results".to_string()); + } + + if scores.len() <= config.min_results { + return (scores.len(), "min_results".to_string()); + } + + // Normalize scores if configured + let normalized = if config.normalize_scores { + normalize_scores(scores) + } else { + scores.to_vec() + }; + + let top_score = normalized[0]; + + match &config.strategy { + CutoffStrategy::AbsoluteThreshold { min_score } => { + find_absolute_cutoff(&normalized, *min_score, config.min_results) + } + + CutoffStrategy::RelativeThreshold { min_ratio } => { + let threshold = top_score * min_ratio; + find_absolute_cutoff(&normalized, threshold, config.min_results) + } + + CutoffStrategy::ScoreCliff { max_drop_ratio } => { + find_cliff_cutoff(&normalized, *max_drop_ratio, config.min_results) + } + + CutoffStrategy::Elbow { sensitivity } => { + find_elbow_cutoff(&normalized, *sensitivity, config.min_results) + } + + CutoffStrategy::Combined { + relative_threshold, + max_drop_ratio, + absolute_min, + } => find_combined_cutoff( + &normalized, + top_score, + *relative_threshold, + *max_drop_ratio, + *absolute_min, + config.min_results, + ), + } +} + +/// Normalize scores to 0-1 range using min-max normalization. +pub fn normalize_scores(scores: &[f32]) -> Vec { + if scores.is_empty() { + return Vec::new(); + } + + let max_score = scores.iter().copied().fold(f32::NEG_INFINITY, f32::max); + let min_score = scores.iter().copied().fold(f32::INFINITY, f32::min); + let range = max_score - min_score; + + if range < f32::EPSILON { + // All scores are the same + return vec![1.0; scores.len()]; + } + + scores.iter().map(|s| (s - min_score) / range).collect() +} + +/// Find cutoff using absolute threshold. +fn find_absolute_cutoff(scores: &[f32], min_score: f32, min_results: usize) -> (usize, String) { + for (i, &score) in scores.iter().enumerate() { + if score < min_score && i >= min_results { + return (i, "absolute_threshold".to_string()); + } + } + (scores.len(), "no_cutoff".to_string()) +} + +/// Find cutoff using cliff detection (large drops between consecutive scores). +fn find_cliff_cutoff(scores: &[f32], max_drop_ratio: f32, min_results: usize) -> (usize, String) { + for i in 1..scores.len() { + if i < min_results { + continue; + } + + let prev = scores[i - 1]; + let curr = scores[i]; + + if prev > f32::EPSILON { + let drop_ratio = (prev - curr) / prev; + if drop_ratio > max_drop_ratio { + return (i, format!("score_cliff({:.1}%)", drop_ratio * 100.0)); + } + } + } + (scores.len(), "no_cutoff".to_string()) +} + +/// Find cutoff using elbow/knee detection (Kneedle algorithm). +fn find_elbow_cutoff(scores: &[f32], sensitivity: f32, min_results: usize) -> (usize, String) { + if scores.len() < 3 { + return (scores.len(), "too_few_points".to_string()); + } + + // Kneedle algorithm: find point of maximum curvature + let n = scores.len(); + + // Normalize x-axis to 0-1 + let x_norm: Vec = (0..n).map(|i| i as f32 / (n - 1) as f32).collect(); + + // Scores are already normalized (or not, depending on config) + let y_norm = scores; + + // Calculate differences for knee detection + // We're looking for the point where the curve bends most sharply + let mut max_distance = 0.0f32; + let mut elbow_index = min_results; + + // Line from first to last point + let x1 = x_norm[0]; + let y1 = y_norm[0]; + let x2 = x_norm[n - 1]; + let y2 = y_norm[n - 1]; + + let line_len = ((x2 - x1).powi(2) + (y2 - y1).powi(2)).sqrt(); + if line_len < f32::EPSILON { + return (scores.len(), "flat_curve".to_string()); + } + + // Distance from each point to the line + for i in min_results..n - 1 { + let x0 = x_norm[i]; + let y0 = y_norm[i]; + + // Distance from point (x0, y0) to line through (x1, y1) and (x2, y2) + let distance = ((y2 - y1) * x0 - (x2 - x1) * y0 + x2 * y1 - y2 * x1).abs() / line_len; + + // Apply sensitivity: higher sensitivity = prefer earlier cutoff + let adjusted_distance = distance * (1.0 + sensitivity * (1.0 - x_norm[i])); + + if adjusted_distance > max_distance { + max_distance = adjusted_distance; + elbow_index = i; + } + } + + // Only cut if we found a significant elbow + if max_distance > 0.05 * sensitivity { + (elbow_index + 1, "elbow_detection".to_string()) + } else { + (scores.len(), "no_significant_elbow".to_string()) + } +} + +/// Find cutoff using combined strategy (first trigger wins). +fn find_combined_cutoff( + scores: &[f32], + top_score: f32, + relative_threshold: f32, + max_drop_ratio: f32, + absolute_min: f32, + min_results: usize, +) -> (usize, String) { + let relative_min = top_score * relative_threshold; + + for i in 0..scores.len() { + if i < min_results { + continue; + } + + let score = scores[i]; + + // Check absolute minimum + if score < absolute_min { + return (i, "absolute_min".to_string()); + } + + // Check relative threshold + if score < relative_min { + return (i, "relative_threshold".to_string()); + } + + // Check cliff detection + if i > 0 { + let prev = scores[i - 1]; + if prev > f32::EPSILON { + let drop_ratio = (prev - score) / prev; + if drop_ratio > max_drop_ratio { + return (i, format!("score_cliff({:.1}%)", drop_ratio * 100.0)); + } + } + } + } + + (scores.len(), "no_cutoff".to_string()) +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_normalize_scores() { + let scores = vec![1.0, 0.8, 0.6, 0.4, 0.2]; + let normalized = normalize_scores(&scores); + + assert!((normalized[0] - 1.0).abs() < 0.001); + assert!((normalized[4] - 0.0).abs() < 0.001); + } + + #[test] + fn test_absolute_threshold() { + let scores = vec![0.95, 0.88, 0.75, 0.60, 0.45, 0.30, 0.15]; + let config = AdaptiveConfig::with_absolute_threshold(0.5); + + let (cutoff, _) = find_adaptive_cutoff(&scores, &config); + + // Should include scores >= 0.5 (0.95, 0.88, 0.75, 0.60) + // After normalization: cutoff depends on normalized values + assert!(cutoff >= 4); + } + + #[test] + fn test_relative_threshold() { + let scores = vec![1.0, 0.9, 0.8, 0.5, 0.3, 0.1]; + let config = AdaptiveConfig::with_relative_threshold(0.6); + + let (cutoff, _) = find_adaptive_cutoff(&scores, &config); + + // Should include scores >= 60% of 1.0 = 0.6 + // That's 1.0, 0.9, 0.8 (normalized: 1.0, 0.89, 0.78, 0.44, 0.22, 0.0) + assert!(cutoff >= 3); + } + + #[test] + fn test_score_cliff() { + // Sharp drop between 0.8 and 0.3 + let scores = vec![1.0, 0.95, 0.9, 0.85, 0.8, 0.3, 0.25, 0.2]; + let config = AdaptiveConfig::with_score_cliff(0.4); + + let (cutoff, trigger) = find_adaptive_cutoff(&scores, &config); + + // Should stop at the cliff (0.8 -> 0.3 is 62.5% drop) + assert!(cutoff <= 6); + assert!(trigger.contains("cliff") || trigger == "no_cutoff"); + } + + #[test] + fn test_combined_strategy() { + let scores = vec![0.95, 0.90, 0.85, 0.80, 0.75, 0.40, 0.35, 0.30]; + let config = AdaptiveConfig::combined(0.5, 0.3, 0.3); + + let (cutoff, _) = find_adaptive_cutoff(&scores, &config); + + // Should stop either at relative threshold (50% of 0.95 = 0.475) + // or at cliff (0.75 -> 0.40 is ~47% drop) + assert!((4..=6).contains(&cutoff)); + } + + #[test] + fn test_elbow_detection() { + // Classic "elbow" curve + let scores = vec![1.0, 0.95, 0.90, 0.85, 0.80, 0.50, 0.48, 0.46, 0.44, 0.42]; + let config = AdaptiveConfig::with_elbow_detection(); + + let (cutoff, trigger) = find_adaptive_cutoff(&scores, &config); + + // Should detect elbow around index 5 where scores drop sharply + assert!(trigger.contains("elbow") || cutoff >= 4); + } + + #[test] + fn test_min_results_respected() { + let scores = vec![1.0, 0.1, 0.05, 0.01]; + let mut config = AdaptiveConfig::with_absolute_threshold(0.9); + config.min_results = 3; + + let (cutoff, _) = find_adaptive_cutoff(&scores, &config); + + // Even though only first result meets threshold, min_results=3 + assert!(cutoff >= 3); + } + + #[test] + fn test_empty_scores() { + let scores: Vec = vec![]; + let config = AdaptiveConfig::default(); + + let (cutoff, trigger) = find_adaptive_cutoff(&scores, &config); + + assert_eq!(cutoff, 0); + assert_eq!(trigger, "no_results"); + } + + #[test] + fn test_real_world_scenario() { + // Simulating a search where answer is in 12 chunks but k=8 would miss some + let scores = vec![ + 0.92, 0.89, 0.87, 0.85, 0.84, 0.82, 0.80, 0.79, // First 8 (would be k=8) + 0.78, 0.76, 0.75, 0.74, // 4 more still relevant! + 0.45, 0.40, 0.35, 0.30, 0.25, // Clearly not relevant + ]; + + let config = AdaptiveConfig::combined(0.5, 0.35, 0.4); + let (cutoff, trigger) = find_adaptive_cutoff(&scores, &config); + + // Should include all 12 relevant chunks, stop before 0.45 + println!("Cutoff: {}, Trigger: {}", cutoff, trigger); + assert!(cutoff >= 10, "Should include more than k=8 results"); + assert!(cutoff <= 13, "Should stop before irrelevant results"); + } +} diff --git a/src/types/ask.rs b/src/types/ask.rs new file mode 100644 index 0000000..951eb80 --- /dev/null +++ b/src/types/ask.rs @@ -0,0 +1,171 @@ +use serde::{Deserialize, Serialize}; + +use super::acl::{AclContext, AclEnforcementMode}; +use super::adaptive::AdaptiveConfig; +use super::common::FrameId; +#[cfg(feature = "temporal_track")] +use super::search::SearchHitTemporal; +use super::search::SearchResponse; +#[cfg(feature = "temporal_track")] +use super::temporal::TemporalFilter; +use crate::Result; + +#[derive(Debug, Clone, Copy, Serialize, Deserialize, Eq, PartialEq)] +#[serde(rename_all = "snake_case")] +pub enum AskMode { + /// Lexical-only retrieval. + Lex, + /// Semantic-only retrieval. + Sem, + /// Hybrid (lexical + semantic) retrieval. + Hybrid, +} + +impl Default for AskMode { + fn default() -> Self { + Self::Hybrid + } +} + +#[derive(Debug, Clone, Copy, Serialize, Deserialize, Eq, PartialEq)] +#[serde(rename_all = "snake_case")] +pub enum AskRetriever { + /// Lexical-only retriever. + Lex, + /// Semantic-only retriever. + Semantic, + /// Hybrid retriever with reranking. + Hybrid, + /// Lexical fallback when semantic paths are unavailable. + LexFallback, + /// Timeline fallback when search returns no results. + TimelineFallback, +} + +/// Request payload for retrieval + synthesis. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct AskRequest { + pub question: String, + pub top_k: usize, + pub snippet_chars: usize, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub uri: Option, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub scope: Option, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub cursor: Option, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub start: Option, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub end: Option, + #[cfg(feature = "temporal_track")] + #[serde(default, skip_serializing_if = "Option::is_none")] + pub temporal: Option, + #[serde(default)] + pub context_only: bool, + #[serde(default)] + pub mode: AskMode, + #[serde(default)] + /// Replay: Filter to frames with id <= `as_of_frame` (time-travel view). + pub as_of_frame: Option, + #[serde(default)] + /// Replay: Filter to frames with timestamp <= `as_of_ts` (time-travel view). + pub as_of_ts: Option, + #[serde(default, skip_serializing_if = "Option::is_none")] + /// Adaptive retrieval configuration. When set, dynamically determines how many + /// results to retrieve based on relevancy score distribution. + pub adaptive: Option, + #[serde(default, skip_serializing_if = "Option::is_none")] + /// Optional caller identity context used for ACL filtering. + pub acl_context: Option, + #[serde(default)] + /// ACL evaluation mode (`audit` or `enforce`). + pub acl_enforcement_mode: AclEnforcementMode, +} + +#[derive(Debug, Clone, Serialize, Deserialize, Default)] +pub struct AskStats { + /// Time spent retrieving context in milliseconds. + pub retrieval_ms: u128, + /// Time spent synthesizing the answer in milliseconds. + pub synthesis_ms: u128, + /// End-to-end latency in milliseconds. + pub latency_ms: u128, +} + +/// Structured citation pointing back into the memory. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct AskCitation { + pub index: usize, + pub frame_id: FrameId, + pub uri: String, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub chunk_range: Option<(usize, usize)>, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub score: Option, +} + +/// Fragment of retrieval context sent to a synthesizer (with ranges and optional temporal info). +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct AskContextFragment { + pub rank: usize, + pub frame_id: FrameId, + pub uri: String, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub title: Option, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub score: Option, + #[serde(default)] + pub matches: usize, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub range: Option<(usize, usize)>, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub chunk_range: Option<(usize, usize)>, + #[serde(default)] + pub text: String, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub kind: Option, + #[cfg(feature = "temporal_track")] + #[serde(default, skip_serializing_if = "Option::is_none")] + pub temporal: Option, +} + +#[derive(Debug, Clone, Copy, Serialize, Deserialize, Eq, PartialEq)] +#[serde(rename_all = "snake_case")] +pub enum AskContextFragmentKind { + /// Full span of text used for synthesis. + Full, + /// Summarized span of text passed to the synthesizer. + Summary, +} + +/// Response for `ask` containing retrieval context, optional answer, citations, and timings. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct AskResponse { + pub question: String, + pub mode: AskMode, + pub retriever: AskRetriever, + pub context_only: bool, + pub retrieval: SearchResponse, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub answer: Option, + #[serde(default, skip_serializing_if = "Vec::is_empty")] + pub citations: Vec, + #[serde(default, skip_serializing_if = "Vec::is_empty")] + pub context_fragments: Vec, + pub stats: AskStats, +} + +pub trait VecEmbedder { + fn embed_query(&self, text: &str) -> Result>; + + fn embed_chunks(&self, texts: &[&str]) -> Result>> { + let mut embeddings = Vec::with_capacity(texts.len()); + for text in texts { + embeddings.push(self.embed_query(text)?); + } + Ok(embeddings) + } + + fn embedding_dimension(&self) -> usize; +} diff --git a/src/types/audit.rs b/src/types/audit.rs new file mode 100644 index 0000000..a405867 --- /dev/null +++ b/src/types/audit.rs @@ -0,0 +1,584 @@ +//! Audit report types for provenance tracking and compliance reporting. +//! +//! This module provides structured types for generating audit reports that trace +//! the sources used to answer questions, enabling compliance, verification, and +//! debugging of AI-generated responses. + +use serde::{Deserialize, Serialize}; + +use super::ask::{AskMode, AskRetriever, AskStats}; +use super::common::FrameId; + +/// A source span representing a specific piece of evidence used in an answer. +/// +/// This is a rich representation of a citation that includes all metadata +/// needed for audit trails, compliance reporting, and source verification. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct SourceSpan { + /// 1-based index in the citation list (matches [1], [2], etc. in answers). + pub index: usize, + + /// Frame ID in the memory file. + pub frame_id: FrameId, + + /// Document URI or path. + pub uri: String, + + /// Document title (if available). + #[serde(default, skip_serializing_if = "Option::is_none")] + pub title: Option, + + /// Byte range within the document [start, end). + #[serde(default, skip_serializing_if = "Option::is_none")] + pub chunk_range: Option<(usize, usize)>, + + /// Relevance score (semantic similarity or BM25). + #[serde(default, skip_serializing_if = "Option::is_none")] + pub score: Option, + + /// Tags associated with the source document. + #[serde(default, skip_serializing_if = "Vec::is_empty")] + pub tags: Vec, + + /// Labels associated with the source document. + #[serde(default, skip_serializing_if = "Vec::is_empty")] + pub labels: Vec, + + /// Unix timestamp when the frame was added to memory. + #[serde(default, skip_serializing_if = "Option::is_none")] + pub frame_timestamp: Option, + + /// Content dates extracted from the document. + #[serde(default, skip_serializing_if = "Vec::is_empty")] + pub content_dates: Vec, + + /// The actual text snippet used as context. + #[serde(default, skip_serializing_if = "Option::is_none")] + pub snippet: Option, +} + +/// Options for generating an audit report. +#[derive(Debug, Clone, Default, Serialize, Deserialize)] +pub struct AuditOptions { + /// Number of sources to retrieve (top-k). + #[serde(default)] + pub top_k: Option, + + /// Maximum characters per snippet. + #[serde(default)] + pub snippet_chars: Option, + + /// Retrieval mode (lex, sem, hybrid). + #[serde(default)] + pub mode: Option, + + /// Optional scope filter (URI prefix). + #[serde(default, skip_serializing_if = "Option::is_none")] + pub scope: Option, + + /// Start timestamp filter. + #[serde(default, skip_serializing_if = "Option::is_none")] + pub start: Option, + + /// End timestamp filter. + #[serde(default, skip_serializing_if = "Option::is_none")] + pub end: Option, + + /// Include full text snippets in sources. + #[serde(default)] + pub include_snippets: bool, +} + +/// A structured audit report for a question-answering session. +/// +/// This report provides full provenance information for compliance, +/// debugging, and verification purposes. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct AuditReport { + /// Version of the audit report format. + pub version: String, + + /// Unix timestamp when the audit was generated. + pub generated_at: i64, + + /// The question that was asked. + pub question: String, + + /// The synthesized answer (if available). + #[serde(default, skip_serializing_if = "Option::is_none")] + pub answer: Option, + + /// Retrieval mode used. + pub mode: AskMode, + + /// Actual retriever used (may differ from mode if fallback occurred). + pub retriever: AskRetriever, + + /// All source spans used to generate the answer. + pub sources: Vec, + + /// Total number of documents searched. + pub total_hits: usize, + + /// Performance statistics. + pub stats: AskStats, + + /// Additional notes or warnings. + #[serde(default, skip_serializing_if = "Vec::is_empty")] + pub notes: Vec, +} + +impl AuditReport { + /// Format the report as human-readable text. + #[must_use] + pub fn to_text(&self) -> String { + let mut output = String::new(); + + // Header + output.push_str("══════════════════════════════════════════════════════════════════════\n"); + output.push_str(" MEMVID AUDIT REPORT\n"); + output + .push_str("══════════════════════════════════════════════════════════════════════\n\n"); + output.push_str(&format!( + "Report Generated: {}\n", + format_timestamp(self.generated_at) + )); + output.push_str(&format!("Report Version: {}\n\n", self.version)); + + // Question + output.push_str("──────────────────────────────────────────────────────────────────────\n"); + output.push_str("QUESTION\n"); + output + .push_str("──────────────────────────────────────────────────────────────────────\n\n"); + output.push_str(&self.question); + output.push_str("\n\n"); + + // Answer + if let Some(answer) = &self.answer { + output.push_str( + "──────────────────────────────────────────────────────────────────────\n", + ); + output.push_str("ANSWER\n"); + output.push_str( + "──────────────────────────────────────────────────────────────────────\n\n", + ); + output.push_str(answer); + output.push_str("\n\n"); + } + + // Retrieval Info + output.push_str("──────────────────────────────────────────────────────────────────────\n"); + output.push_str("RETRIEVAL DETAILS\n"); + output + .push_str("──────────────────────────────────────────────────────────────────────\n\n"); + output.push_str(&format!(" Retrieval Mode: {}\n", format_mode(self.mode))); + output.push_str(&format!( + " Engine Used: {}\n", + format_retriever(self.retriever) + )); + output.push_str(&format!(" Sources Found: {}\n", self.total_hits)); + output.push_str(&format!( + " Total Latency: {} ms\n", + self.stats.latency_ms + )); + output.push_str(&format!( + " - Retrieval: {} ms\n", + self.stats.retrieval_ms + )); + output.push_str(&format!( + " - Synthesis: {} ms\n\n", + self.stats.synthesis_ms + )); + + // Sources + output.push_str("──────────────────────────────────────────────────────────────────────\n"); + output.push_str(&format!("SOURCES ({})\n", self.sources.len())); + output.push_str("──────────────────────────────────────────────────────────────────────\n"); + + for source in &self.sources { + output.push_str(&format!("\n[{}] {}\n", source.index, source.uri)); + output.push_str(" ─────────────────────────────────────────────────────────────\n"); + if let Some(title) = &source.title { + output.push_str(&format!(" Title: {title}\n")); + } + output.push_str(&format!(" Frame ID: {}\n", source.frame_id)); + if let Some(score) = source.score { + output.push_str(&format!(" Score: {score:.4}\n")); + } + if let Some((start, end)) = source.chunk_range { + output.push_str(&format!( + " Byte Range: {} - {} ({} bytes)\n", + start, + end, + end - start + )); + } + if !source.tags.is_empty() { + let tags_display: Vec<_> = source.tags.iter().take(5).cloned().collect(); + let tags_str = if source.tags.len() > 5 { + format!( + "{}, +{} more", + tags_display.join(", "), + source.tags.len() - 5 + ) + } else { + tags_display.join(", ") + }; + output.push_str(&format!(" Tags: {tags_str}\n")); + } + if let Some(ts) = source.frame_timestamp { + output.push_str(&format!(" Indexed: {}\n", format_timestamp(ts))); + } + if !source.content_dates.is_empty() { + let dates_display: Vec<_> = source.content_dates.iter().take(3).cloned().collect(); + output.push_str(&format!(" Content Era: {}\n", dates_display.join(", "))); + } + if let Some(snippet) = &source.snippet { + output.push_str("\n Excerpt:\n"); + // Format snippet with proper indentation and word wrap + let formatted = format_snippet_block(snippet, 64, " │ "); + output.push_str(&formatted); + output.push('\n'); + } + } + + // Notes (only show important ones) + let important_notes: Vec<_> = self + .notes + .iter() + .filter(|n| !n.contains("fell back")) // Skip fallback notes + .collect(); + + if !important_notes.is_empty() { + output.push_str( + "\n──────────────────────────────────────────────────────────────────────\n", + ); + output.push_str("NOTES\n"); + output.push_str( + "──────────────────────────────────────────────────────────────────────\n\n", + ); + for note in important_notes { + output.push_str(&format!(" • {note}\n")); + } + } + + output + .push_str("\n══════════════════════════════════════════════════════════════════════\n"); + output.push_str(" END OF REPORT\n"); + output.push_str("══════════════════════════════════════════════════════════════════════\n"); + output + } + + /// Format the report as Markdown. + #[must_use] + pub fn to_markdown(&self) -> String { + let mut output = String::new(); + + output.push_str("# Memvid Audit Report\n\n"); + output.push_str(&format!( + "> **Generated:** {} \n", + format_timestamp(self.generated_at) + )); + output.push_str(&format!("> **Version:** {}\n\n", self.version)); + + output.push_str("---\n\n"); + output.push_str("## Question\n\n"); + output.push_str(&format!("> {}\n\n", self.question)); + + if let Some(answer) = &self.answer { + output.push_str("## Answer\n\n"); + output.push_str(answer); + output.push_str("\n\n"); + } + + output.push_str("---\n\n"); + output.push_str("## Retrieval Details\n\n"); + output.push_str("| Property | Value |\n"); + output.push_str("|:---------|:------|\n"); + output.push_str(&format!( + "| **Retrieval Mode** | {} |\n", + format_mode(self.mode) + )); + output.push_str(&format!( + "| **Engine Used** | {} |\n", + format_retriever(self.retriever) + )); + output.push_str(&format!("| **Sources Found** | {} |\n", self.total_hits)); + output.push_str(&format!( + "| **Total Latency** | {} ms |\n", + self.stats.latency_ms + )); + output.push_str(&format!( + "| **Retrieval Time** | {} ms |\n", + self.stats.retrieval_ms + )); + output.push_str(&format!( + "| **Synthesis Time** | {} ms |\n", + self.stats.synthesis_ms + )); + output.push_str("\n---\n\n"); + + output.push_str(&format!("## Sources ({})\n\n", self.sources.len())); + for source in &self.sources { + output.push_str(&format!("### Source [{}]\n\n", source.index)); + output.push_str(&format!("**URI:** `{}`\n\n", source.uri)); + + if let Some(title) = &source.title { + output.push_str(&format!("**Title:** {title}\n\n")); + } + + // Metadata table + output.push_str("| Property | Value |\n"); + output.push_str("|:---------|:------|\n"); + output.push_str(&format!("| Frame ID | {} |\n", source.frame_id)); + if let Some(score) = source.score { + output.push_str(&format!("| Relevance Score | {score:.4} |\n")); + } + if let Some((start, end)) = source.chunk_range { + output.push_str(&format!( + "| Byte Range | `{} - {}` ({} bytes) |\n", + start, + end, + end - start + )); + } + if let Some(ts) = source.frame_timestamp { + output.push_str(&format!("| Indexed | {} |\n", format_timestamp(ts))); + } + output.push('\n'); + + if !source.tags.is_empty() { + let tags: Vec<_> = source + .tags + .iter() + .take(8) + .map(|t| format!("`{t}`")) + .collect(); + output.push_str(&format!("**Tags:** {}\n\n", tags.join(" "))); + } + + if !source.content_dates.is_empty() { + let dates: Vec<_> = source.content_dates.iter().take(5).cloned().collect(); + output.push_str(&format!("**Content Period:** {}\n\n", dates.join(", "))); + } + + if let Some(snippet) = &source.snippet { + output.push_str("**Excerpt:**\n\n"); + output.push_str("```text\n"); + output.push_str(&clean_snippet(snippet, 600)); + output.push_str("\n```\n\n"); + } + + output.push_str("---\n\n"); + } + + // Notes (only show important ones) + let important_notes: Vec<_> = self + .notes + .iter() + .filter(|n| !n.contains("fell back")) + .collect(); + + if !important_notes.is_empty() { + output.push_str("## Notes\n\n"); + for note in important_notes { + output.push_str(&format!("- {note}\n")); + } + output.push('\n'); + } + + output + } +} + +fn format_mode(mode: AskMode) -> &'static str { + match mode { + AskMode::Lex => "Lexical (keyword search)", + AskMode::Sem => "Semantic (vector similarity)", + AskMode::Hybrid => "Hybrid (lexical + semantic)", + } +} + +fn format_retriever(retriever: AskRetriever) -> &'static str { + match retriever { + AskRetriever::Lex => "Lexical Search", + AskRetriever::Semantic => "Semantic Search", + AskRetriever::Hybrid => "Hybrid Search", + AskRetriever::LexFallback => "Lexical Search (semantic unavailable)", + AskRetriever::TimelineFallback => "Timeline Fallback (no search results)", + } +} + +fn format_snippet_block(text: &str, width: usize, prefix: &str) -> String { + let cleaned = text.trim().replace('\n', " ").replace(" ", " "); + let mut result = String::new(); + let mut line = String::new(); + + for word in cleaned.split_whitespace() { + if line.len() + word.len() + 1 > width && !line.is_empty() { + result.push_str(prefix); + result.push_str(&line); + result.push('\n'); + line.clear(); + } + if !line.is_empty() { + line.push(' '); + } + line.push_str(word); + } + + if !line.is_empty() { + result.push_str(prefix); + result.push_str(&line); + result.push('\n'); + } + + // Limit to ~20 lines for comprehensive excerpts + let lines: Vec<&str> = result.lines().take(20).collect(); + if result.lines().count() > 20 { + format!("{}\n{}[...]\n", lines.join("\n"), prefix) + } else { + result + } +} + +fn clean_snippet(text: &str, max_len: usize) -> String { + let cleaned = text.trim().replace('\n', " ").replace(" ", " "); + if cleaned.len() <= max_len { + cleaned + } else { + // Find word boundary + let truncated = &cleaned[..max_len]; + if let Some(last_space) = truncated.rfind(' ') { + format!("{}...", &truncated[..last_space]) + } else { + format!("{truncated}...") + } + } +} + +fn format_timestamp(ts: i64) -> String { + // Basic ISO 8601 formatting without external dependencies + use std::time::{Duration, UNIX_EPOCH}; + + let datetime = UNIX_EPOCH + Duration::from_secs(ts.unsigned_abs()); + let secs = datetime + .duration_since(UNIX_EPOCH) + .unwrap_or_default() + .as_secs(); + + // Calculate date components (simplified) + let days = secs / 86400; + let remaining = secs % 86400; + let hours = remaining / 3600; + let minutes = (remaining % 3600) / 60; + let seconds = remaining % 60; + + // Approximate year/month/day calculation + let mut year = 1970i32; + // Safe: days will fit in i32 for any reasonable usage (millions of years) + #[allow(clippy::cast_possible_truncation)] + let mut remaining_days = days as i32; + + loop { + let days_in_year = if is_leap_year(year) { 366 } else { 365 }; + if remaining_days < days_in_year { + break; + } + remaining_days -= days_in_year; + year += 1; + } + + let mut month = 1u32; + let days_in_months = if is_leap_year(year) { + [31, 29, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31] + } else { + [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31] + }; + + for days_in_month in days_in_months { + if remaining_days < days_in_month { + break; + } + remaining_days -= days_in_month; + month += 1; + } + + let day = remaining_days + 1; + + format!("{year:04}-{month:02}-{day:02}T{hours:02}:{minutes:02}:{seconds:02}Z") +} + +fn is_leap_year(year: i32) -> bool { + (year % 4 == 0 && year % 100 != 0) || (year % 400 == 0) +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_source_span_serialization() { + let source = SourceSpan { + index: 1, + frame_id: 42, + uri: "mv2://docs/readme.md".to_string(), + title: Some("README".to_string()), + chunk_range: Some((100, 500)), + score: Some(0.95), + tags: vec!["documentation".to_string()], + labels: vec![], + frame_timestamp: Some(1700000000), + content_dates: vec![], + snippet: Some("This is a test snippet.".to_string()), + }; + + let json = serde_json::to_string_pretty(&source).expect("serialize"); + assert!(json.contains("readme.md")); + assert!(json.contains("0.95")); + } + + #[test] + fn test_audit_report_to_text() { + let report = AuditReport { + version: "1.0".to_string(), + generated_at: 1700000000, + question: "What is Memvid?".to_string(), + answer: Some("Memvid is an AI memory system.".to_string()), + mode: AskMode::Hybrid, + retriever: AskRetriever::Hybrid, + sources: vec![SourceSpan { + index: 1, + frame_id: 1, + uri: "mv2://docs/intro.md".to_string(), + title: Some("Introduction".to_string()), + chunk_range: Some((0, 100)), + score: Some(0.9), + tags: vec![], + labels: vec![], + frame_timestamp: None, + content_dates: vec![], + snippet: Some("Memvid is...".to_string()), + }], + total_hits: 5, + stats: AskStats { + retrieval_ms: 10, + synthesis_ms: 5, + latency_ms: 15, + }, + notes: vec![], + }; + + let text = report.to_text(); + assert!(text.contains("MEMVID AUDIT REPORT")); + assert!(text.contains("What is Memvid?")); + assert!(text.contains("Introduction")); + } + + #[test] + fn test_format_timestamp() { + let ts = 1700000000; // 2023-11-14T22:13:20Z + let formatted = format_timestamp(ts); + assert!(formatted.starts_with("2023-11-14")); + } +} diff --git a/src/types/binding.rs b/src/types/binding.rs new file mode 100644 index 0000000..846cfe3 --- /dev/null +++ b/src/types/binding.rs @@ -0,0 +1,39 @@ +//! Memory binding types for linking MV2 files to dashboard memories. + +use chrono::{DateTime, Utc}; +use serde::{Deserialize, Serialize}; +use uuid::Uuid; + +/// Represents a binding between an MV2 file and a dashboard memory. +/// +/// This is stored in the file header and tracks which dashboard memory +/// this file is associated with for capacity management. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct MemoryBinding { + /// Dashboard memory ID + pub memory_id: Uuid, + /// Human-readable memory name + pub memory_name: String, + /// When the binding was created + pub bound_at: DateTime, + /// API URL used for this binding + pub api_url: String, +} + +/// Information about the MV2 file for reporting to dashboard. +/// +/// This is sent to the API when syncing tickets to track +/// which files are using a memory's capacity. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct FileInfo { + /// File name (e.g., "`support_docs.mv2`") + pub file_name: String, + /// Full file path + pub file_path: String, + /// Current file size in bytes + pub file_size: u64, + /// Unique machine identifier + pub machine_id: String, + /// Last sync timestamp + pub last_synced: DateTime, +} diff --git a/src/types/common.rs b/src/types/common.rs new file mode 100644 index 0000000..fbb70e0 --- /dev/null +++ b/src/types/common.rs @@ -0,0 +1,169 @@ +//! Foundational enums and marker types shared across memvid data structures. + +use std::{marker::PhantomData, path::PathBuf}; + +use serde::{Deserialize, Deserializer, Serialize, Serializer}; + +/// Frame IDs are dense u64 indexes into the frame list. +pub type FrameId = u64; + +/// Segment IDs identify embedded index segments; monotonic within a file. +pub type SegmentId = u64; + +/// Encoding used for the canonical document bytes. +#[derive(Debug, Clone, Copy, PartialEq, Eq)] +pub enum CanonicalEncoding { + Plain, + Zstd, +} + +impl CanonicalEncoding { + #[must_use] + pub const fn from_byte(value: u8) -> Self { + match value { + 0 => CanonicalEncoding::Plain, + 1 => CanonicalEncoding::Zstd, + _ => CanonicalEncoding::Plain, + } + } + + #[must_use] + pub const fn as_byte(self) -> u8 { + match self { + CanonicalEncoding::Plain => 0, + CanonicalEncoding::Zstd => 1, + } + } +} + +impl Default for CanonicalEncoding { + fn default() -> Self { + Self::Plain + } +} + +impl Serialize for CanonicalEncoding { + fn serialize(&self, serializer: S) -> Result + where + S: Serializer, + { + serializer.serialize_u32(u32::from(self.as_byte())) + } +} + +impl<'de> Deserialize<'de> for CanonicalEncoding { + fn deserialize(deserializer: D) -> Result + where + D: Deserializer<'de>, + { + let value = u32::deserialize(deserializer)?; + Ok(CanonicalEncoding::from_byte((value & 0xFF) as u8)) + } +} + +/// Tier captures the capacity and entitlement envelope for a memory. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)] +#[serde(rename_all = "snake_case")] +pub enum Tier { + /// Free tier with small capacity. + Free, + /// Developer tier with higher caps. + Dev, + /// Enterprise tier with the largest caps. + Enterprise, +} + +impl Tier { + /// Maximum nominal capacity in bytes for the tier. + #[must_use] + pub fn capacity_bytes(self) -> u64 { + match self { + Tier::Free => 50 * 1024 * 1024, // 50 MB + Tier::Dev => 2 * 1024 * 1024 * 1024, // 2 GB + Tier::Enterprise => 10 * 1024 * 1024 * 1024, // 10 GB + } + } +} + +/// Marker type signifying an open (mutable) memory. +pub struct Open; + +/// Marker type signifying a sealed (read-only) memory. +pub struct Sealed; + +/// Mode phantom tracked using [`MemvidHandle`]. +#[derive(Debug, Clone)] +pub struct MemvidHandle { + pub path: PathBuf, + pub(crate) _mode: PhantomData, +} + +/// Marker describing the lifecycle state of a frame. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)] +#[serde(rename_all = "snake_case")] +pub enum FrameStatus { + Active, + Superseded, + Deleted, +} + +impl Default for FrameStatus { + fn default() -> Self { + Self::Active + } +} + +/// Role attributed to a frame in the timeline. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize, Default)] +#[serde(rename_all = "snake_case")] +pub enum FrameRole { + #[default] + Document, + DocumentChunk, + /// Extracted image from a document (e.g., PDF page image for CLIP) + ExtractedImage, +} + +/// Enrichment state for progressive ingestion. +/// +/// Frames start as `Searchable` (instant indexed with skim text) and +/// progress to `Enriched` (full text + embeddings + memory cards). +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize, Default)] +#[serde(rename_all = "snake_case")] +#[repr(u8)] +pub enum EnrichmentState { + /// Phase 1 complete: searchable via skim text. + /// Lexical search works, but may have reduced accuracy. + #[default] + Searchable = 0, + /// Phase 2 complete: full text extracted, embeddings generated. + /// Full search accuracy, semantic search available. + Enriched = 1, +} + +impl EnrichmentState { + /// Returns true if this frame needs background enrichment. + #[must_use] + pub fn needs_enrichment(&self) -> bool { + matches!(self, Self::Searchable) + } + + /// Returns true if this frame has full semantic search capability. + #[must_use] + pub fn has_embeddings(&self) -> bool { + matches!(self, Self::Enriched) + } +} + +/// Task in the enrichment queue, representing pending background work. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct EnrichmentTask { + /// Frame ID to enrich. + pub frame_id: FrameId, + /// Timestamp when task was created. + pub created_at: u64, + /// Number of chunks already embedded (for resume after crash). + pub chunks_done: u32, + /// Total chunks to embed (0 if not yet known). + pub chunks_total: u32, +} diff --git a/src/types/embedding.rs b/src/types/embedding.rs new file mode 100644 index 0000000..98ca482 --- /dev/null +++ b/src/types/embedding.rs @@ -0,0 +1,318 @@ +//! Embedding provider trait and implementations. +//! +//! The `EmbeddingProvider` trait defines a unified interface for generating +//! embeddings from text, supporting both local models (fastembed, candle) and +//! cloud APIs (`OpenAI`, Anthropic). + +use crate::error::Result; + +/// Configuration for an embedding provider. +#[derive(Debug, Clone)] +pub struct EmbeddingConfig { + /// Model identifier (e.g., "text-embedding-3-large", "nomic-embed-text-v1.5") + pub model: String, + /// Embedding dimension (used for validation) + pub dimension: usize, + /// Optional batch size for bulk embedding operations + pub batch_size: Option, + /// Whether to normalize embeddings to unit length + pub normalize: bool, +} + +impl Default for EmbeddingConfig { + fn default() -> Self { + Self { + model: "text-embedding-3-large".to_string(), + dimension: 3072, + batch_size: Some(100), + normalize: true, + } + } +} + +impl EmbeddingConfig { + /// Create config for `OpenAI` text-embedding-3-large + #[must_use] + pub fn openai_large() -> Self { + Self { + model: "text-embedding-3-large".to_string(), + dimension: 3072, + batch_size: Some(100), + normalize: true, + } + } + + /// Create config for `OpenAI` text-embedding-3-small + #[must_use] + pub fn openai_small() -> Self { + Self { + model: "text-embedding-3-small".to_string(), + dimension: 1536, + batch_size: Some(100), + normalize: true, + } + } + + /// Create config for `OpenAI` text-embedding-ada-002 + #[must_use] + pub fn openai_ada() -> Self { + Self { + model: "text-embedding-ada-002".to_string(), + dimension: 1536, + batch_size: Some(100), + normalize: true, + } + } + + /// Create config for local Nomic model + #[must_use] + pub fn nomic() -> Self { + Self { + model: "nomic-embed-text-v1.5".to_string(), + dimension: 768, + batch_size: Some(32), + normalize: true, + } + } + + /// Create config for local BGE-small model + #[must_use] + pub fn bge_small() -> Self { + Self { + model: "BAAI/bge-small-en-v1.5".to_string(), + dimension: 384, + batch_size: Some(32), + normalize: true, + } + } + + /// Create config for local BGE-base model + #[must_use] + pub fn bge_base() -> Self { + Self { + model: "BAAI/bge-base-en-v1.5".to_string(), + dimension: 768, + batch_size: Some(32), + normalize: true, + } + } + + /// Create config for local GTE-large model + #[must_use] + pub fn gte_large() -> Self { + Self { + model: "thenlper/gte-large".to_string(), + dimension: 1024, + batch_size: Some(16), + normalize: true, + } + } +} + +/// Trait for embedding providers that generate vector embeddings from text. +/// +/// This is a superset of the existing `VecEmbedder` trait, adding: +/// - Provider identification (kind, model, dimension) +/// - Async-friendly batch operations +/// - Configuration management +/// +/// # Example +/// +/// ```ignore +/// use memvid_core::types::embedding::{EmbeddingProvider, EmbeddingConfig}; +/// +/// struct OpenAIProvider { +/// api_key: String, +/// config: EmbeddingConfig, +/// } +/// +/// impl EmbeddingProvider for OpenAIProvider { +/// fn kind(&self) -> &str { "openai" } +/// fn model(&self) -> &str { &self.config.model } +/// fn dimension(&self) -> usize { self.config.dimension } +/// +/// fn embed_text(&self, text: &str) -> Result> { +/// // Call OpenAI API +/// todo!() +/// } +/// } +/// ``` +pub trait EmbeddingProvider: Send + Sync { + /// Return the provider kind (e.g., "openai", "local", "anthropic"). + fn kind(&self) -> &str; + + /// Return the model identifier. + fn model(&self) -> &str; + + /// Return the embedding dimension. + fn dimension(&self) -> usize; + + /// Generate an embedding for a single text string. + fn embed_text(&self, text: &str) -> Result>; + + /// Generate embeddings for multiple text strings. + /// + /// Default implementation calls `embed_text` in a loop. + /// Providers should override this for efficient batch processing. + fn embed_batch(&self, texts: &[&str]) -> Result>> { + let mut embeddings = Vec::with_capacity(texts.len()); + for text in texts { + embeddings.push(self.embed_text(text)?); + } + Ok(embeddings) + } + + /// Check if the provider is ready to generate embeddings. + fn is_ready(&self) -> bool { + true + } + + /// Initialize the provider (e.g., load models, verify API key). + fn init(&mut self) -> Result<()> { + Ok(()) + } +} + +/// Enum wrapper for different embedding provider implementations. +#[derive(Debug, Clone)] +pub enum EmbeddingProviderKind { + /// Local fastembed/ONNX model + Local(String), + /// `OpenAI` API + OpenAI { model: String, api_key_env: String }, + /// Anthropic API (future) + Anthropic { model: String, api_key_env: String }, + /// Custom provider + Custom(String), +} + +impl Default for EmbeddingProviderKind { + fn default() -> Self { + Self::Local("nomic-embed-text-v1.5".to_string()) + } +} + +/// Result type for embedding operations +pub type EmbeddingResult = Result>; +pub type BatchEmbeddingResult = Result>>; + +#[cfg(test)] +mod tests { + use super::*; + + struct MockProvider { + dimension: usize, + } + + impl EmbeddingProvider for MockProvider { + #[allow(clippy::unnecessary_literal_bound)] + fn kind(&self) -> &str { + "mock" + } + + #[allow(clippy::unnecessary_literal_bound)] + fn model(&self) -> &str { + "mock-model" + } + + fn dimension(&self) -> usize { + self.dimension + } + + fn embed_text(&self, _text: &str) -> Result> { + Ok(vec![0.0; self.dimension]) + } + } + + #[test] + fn test_mock_provider() { + let provider = MockProvider { dimension: 768 }; + assert_eq!(provider.kind(), "mock"); + assert_eq!(provider.dimension(), 768); + + let embedding = provider.embed_text("test").unwrap(); + assert_eq!(embedding.len(), 768); + } + + #[test] + fn test_batch_default_impl() { + let provider = MockProvider { dimension: 384 }; + let texts = vec!["hello", "world"]; + let embeddings = provider.embed_batch(&texts).unwrap(); + assert_eq!(embeddings.len(), 2); + assert_eq!(embeddings[0].len(), 384); + } + + #[test] + fn test_configs() { + let openai = EmbeddingConfig::openai_large(); + assert_eq!(openai.dimension, 3072); + + let nomic = EmbeddingConfig::nomic(); + assert_eq!(nomic.dimension, 768); + + let bge = EmbeddingConfig::bge_small(); + assert_eq!(bge.dimension, 384); + } + + /// Integration test for LocalTextEmbedder + /// This test requires the BGE-small model to be downloaded to ~/.cache/memvid/text-models/ + /// If the model is not present, the test will print a skip message and pass. + #[cfg(feature = "vec")] + #[test] + fn test_local_text_embedder_integration() { + use crate::text_embed::{LocalTextEmbedder, TextEmbedConfig}; + use crate::types::embedding::EmbeddingProvider; + + let config = TextEmbedConfig::default(); + let embedder = match LocalTextEmbedder::new(config) { + Ok(e) => e, + Err(_) => { + println!("Skipping test_local_text_embedder_integration: model setup required"); + return; + } + }; + + // Verify trait implementation + assert_eq!(embedder.kind(), "local"); + assert_eq!(embedder.model(), "bge-small-en-v1.5"); + assert_eq!(embedder.dimension(), 384); + assert!(embedder.is_ready()); + + // Test single embedding (skip if model not downloaded) + match embedder.embed_text("hello world") { + Ok(embedding) => { + assert_eq!(embedding.len(), 384); + // Verify normalization (L2 norm should be ~1.0) + let norm: f32 = embedding.iter().map(|x| x * x).sum::().sqrt(); + assert!((norm - 1.0).abs() < 0.01, "Embedding should be normalized"); + } + Err(e) => { + println!("Skipping embedding test: {}", e); + println!("To run this test, download the model:"); + println!(" mkdir -p ~/.cache/memvid/text-models"); + println!( + " curl -L 'https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/onnx/model.onnx' -o ~/.cache/memvid/text-models/bge-small-en-v1.5.onnx" + ); + println!( + " curl -L 'https://huggingface.co/BAAI/bge-small-en-v1.5/resolve/main/tokenizer.json' -o ~/.cache/memvid/text-models/bge-small-en-v1.5_tokenizer.json" + ); + return; + } + } + + // Test batch processing + let texts = vec!["hello", "world", "embedding"]; + match embedder.embed_batch(&texts) { + Ok(batch) => { + assert_eq!(batch.len(), 3); + assert_eq!(batch[0].len(), 384); + assert_eq!(batch[1].len(), 384); + assert_eq!(batch[2].len(), 384); + } + Err(e) => { + println!("Batch embedding failed: {}", e); + } + } + } +} diff --git a/src/types/embedding_identity.rs b/src/types/embedding_identity.rs new file mode 100644 index 0000000..1170749 --- /dev/null +++ b/src/types/embedding_identity.rs @@ -0,0 +1,82 @@ +use std::collections::BTreeMap; + +/// Frame-level embedding metadata keys (stored in `Frame.extra_metadata`). +/// +/// These are intentionally persisted per-frame (instead of in the TOC schema) to avoid +/// breaking `.mv2` binary compatibility (the TOC is bincode-encoded and schema-evolution +/// requires explicit legacy decoders). +pub const MEMVID_EMBEDDING_PROVIDER_KEY: &str = "memvid.embedding.provider"; +pub const MEMVID_EMBEDDING_MODEL_KEY: &str = "memvid.embedding.model"; +pub const MEMVID_EMBEDDING_DIMENSION_KEY: &str = "memvid.embedding.dimension"; +pub const MEMVID_EMBEDDING_NORMALIZED_KEY: &str = "memvid.embedding.normalized"; + +/// Identifies an embedding "vector space" used for semantic search. +/// +/// Dimensions alone are not sufficient to guarantee compatibility (multiple models can share a +/// dimension), so production-safe auto-detection should prefer `provider` + `model` when present. +#[derive(Debug, Clone, PartialEq, Eq, Hash)] +pub struct EmbeddingIdentity { + pub provider: Option>, + pub model: Option>, + pub dimension: Option, + pub normalized: Option, +} + +impl EmbeddingIdentity { + /// Parse an embedding identity from a frame's `extra_metadata`. + /// + /// Returns `None` if neither provider nor model is present. + #[must_use] + pub fn from_extra_metadata(extra: &BTreeMap) -> Option { + let provider = extra + .get(MEMVID_EMBEDDING_PROVIDER_KEY) + .map(|value| value.trim()) + .filter(|value| !value.is_empty()) + .map(|value| value.to_ascii_lowercase().into_boxed_str()); + + let model = extra + .get(MEMVID_EMBEDDING_MODEL_KEY) + .map(|value| value.trim()) + .filter(|value| !value.is_empty()) + .map(|value| value.to_string().into_boxed_str()); + + if provider.is_none() && model.is_none() { + return None; + } + + let dimension = extra + .get(MEMVID_EMBEDDING_DIMENSION_KEY) + .map(|value| value.trim()) + .and_then(|value| value.parse::().ok()) + .filter(|dim| *dim > 0); + + let normalized = extra + .get(MEMVID_EMBEDDING_NORMALIZED_KEY) + .map(|value| value.trim().to_ascii_lowercase()) + .and_then(|value| match value.as_str() { + "true" | "1" | "yes" => Some(true), + "false" | "0" | "no" => Some(false), + _ => None, + }); + + Some(Self { + provider, + model, + dimension, + normalized, + }) + } +} + +#[derive(Debug, Clone, PartialEq, Eq)] +pub struct EmbeddingIdentityCount { + pub identity: EmbeddingIdentity, + pub count: u64, +} + +#[derive(Debug, Clone, PartialEq, Eq)] +pub enum EmbeddingIdentitySummary { + Unknown, + Single(EmbeddingIdentity), + Mixed(Vec), +} diff --git a/src/types/frame.rs b/src/types/frame.rs new file mode 100644 index 0000000..81e08dc --- /dev/null +++ b/src/types/frame.rs @@ -0,0 +1,358 @@ +//! Frame representations and timeline summarisation types. + +use std::{collections::BTreeMap, fmt, marker::PhantomData, num::NonZeroU64}; + +use serde::{ + Deserialize, Serialize, + de::{self, MapAccess, SeqAccess, Visitor}, +}; + +#[cfg(feature = "temporal_track")] +use super::search::SearchHitTemporal; +#[cfg(feature = "temporal_track")] +use super::temporal::TemporalFilter; +use super::{ + common::{CanonicalEncoding, FrameId, FrameRole, FrameStatus, Tier}, + metadata::{DocMetadata, TextChunkManifest}, +}; + +// Note: AnchorSource is always defined (not feature-gated) to maintain binary compatibility + +/// Timeline query parameters for scanning frames chronologically or in reverse. +#[derive(Debug, Clone, Serialize, Deserialize, Default)] +pub struct TimelineQuery { + pub limit: Option, + pub since: Option, + pub until: Option, + pub reverse: bool, + #[cfg(feature = "temporal_track")] + #[serde(default, skip_serializing_if = "Option::is_none")] + pub temporal: Option, +} + +impl TimelineQuery { + /// Start a fluent builder for timeline queries. + #[must_use] + pub fn builder() -> TimelineQueryBuilder { + TimelineQueryBuilder::default() + } +} + +#[derive(Debug, Default)] +pub struct TimelineQueryBuilder { + inner: TimelineQuery, +} + +impl TimelineQueryBuilder { + #[must_use] + pub fn limit(mut self, limit: NonZeroU64) -> Self { + self.inner.limit = Some(limit); + self + } + + #[must_use] + pub fn since(mut self, ts: i64) -> Self { + self.inner.since = Some(ts); + self + } + + #[must_use] + pub fn until(mut self, ts: i64) -> Self { + self.inner.until = Some(ts); + self + } + + #[must_use] + pub fn reverse(mut self, reverse: bool) -> Self { + self.inner.reverse = reverse; + self + } + + #[cfg(feature = "temporal_track")] + pub fn temporal(mut self, filter: TemporalFilter) -> Self { + self.inner.temporal = Some(filter); + self + } + + #[must_use] + pub fn no_limit(mut self) -> Self { + self.inner.limit = None; + self + } + + #[must_use] + pub fn build(mut self) -> TimelineQuery { + if self.inner.limit.is_none() { + self.inner.limit = NonZeroU64::new(100); + } + self.inner + } +} + +/// Public-facing statistics summarising a memory. +/// Aggregates counts, sizes, capacity, and index presence for quick health checks. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct Stats { + pub frame_count: u64, + pub size_bytes: u64, + pub tier: Tier, + pub has_lex_index: bool, + pub has_vec_index: bool, + pub has_clip_index: bool, + pub has_time_index: bool, + pub seq_no: Option, + pub capacity_bytes: u64, + #[serde(default)] + pub active_frame_count: u64, + #[serde(default)] + pub payload_bytes: u64, + #[serde(default)] + pub logical_bytes: u64, + #[serde(default)] + pub saved_bytes: u64, + #[serde(default)] + pub compression_ratio_percent: f64, + #[serde(default)] + pub savings_percent: f64, + #[serde(default)] + pub storage_utilisation_percent: f64, + #[serde(default)] + pub remaining_capacity_bytes: u64, + #[serde(default)] + pub average_frame_payload_bytes: u64, + #[serde(default)] + pub average_frame_logical_bytes: u64, + // PHASE 2: Detailed overhead breakdown for observability + #[serde(default)] + pub wal_bytes: u64, + #[serde(default)] + pub lex_index_bytes: u64, + #[serde(default)] + pub vec_index_bytes: u64, + #[serde(default)] + pub time_index_bytes: u64, + #[serde(default)] + pub vector_count: u64, + /// Number of CLIP visual embeddings (images/PDF pages) + #[serde(default)] + pub clip_image_count: u64, + /// Whether the lex (full-text) search engine is enabled at runtime. + #[serde(default)] + pub lex_enabled: bool, + /// Whether the vec (vector/semantic) search engine is enabled at runtime. + #[serde(default)] + pub vec_enabled: bool, +} + +/// Entry returned by `timeline` queries, carrying a lightweight preview. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct TimelineEntry { + pub frame_id: FrameId, + pub timestamp: i64, + pub preview: String, + #[serde(default)] + pub uri: Option, + #[serde( + default, + skip_serializing_if = "Vec::is_empty", + deserialize_with = "deserialize_child_frames" + )] + pub child_frames: Vec, + #[cfg(feature = "temporal_track")] + #[serde(default, skip_serializing_if = "Option::is_none")] + pub temporal: Option, +} + +/// Frame - core content unit serialized to TOC. +/// binary format compatibility. Feature flags control functionality, NOT structure. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct Frame { + pub id: FrameId, + pub timestamp: i64, + /// Temporal anchor timestamp. ALWAYS present - feature only controls if code uses it. + #[serde(default)] + pub anchor_ts: Option, + /// Temporal anchor source. ALWAYS present - feature only controls if code uses it. + #[serde(default)] + pub anchor_source: Option, + pub kind: Option, + pub track: Option, + pub payload_offset: u64, + pub payload_length: u64, + pub checksum: [u8; 32], + #[serde(default)] + pub uri: Option, + #[serde(default)] + pub title: Option, + #[serde(default)] + pub canonical_encoding: CanonicalEncoding, + #[serde(default)] + pub canonical_length: Option, + #[serde(default)] + pub metadata: Option, + #[serde(default)] + pub search_text: Option, + #[serde(default, deserialize_with = "deserialize_tags")] + pub tags: Vec, + #[serde(default, deserialize_with = "deserialize_labels")] + pub labels: Vec, + #[serde(default, deserialize_with = "deserialize_extra_metadata")] + pub extra_metadata: BTreeMap, + #[serde(default, deserialize_with = "deserialize_content_dates")] + pub content_dates: Vec, + #[serde(default)] + pub chunk_manifest: Option, + #[serde(default)] + pub role: FrameRole, + #[serde(default)] + pub parent_id: Option, + #[serde(default)] + pub chunk_index: Option, + #[serde(default)] + pub chunk_count: Option, + #[serde(default)] + pub status: FrameStatus, + #[serde(default)] + pub supersedes: Option, + #[serde(default)] + pub superseded_by: Option, + /// SHA-256 hash of original source file (set when --no-raw is used). + /// Allows verification of source without storing the raw binary. + #[serde(default)] + pub source_sha256: Option<[u8; 32]>, + /// Original source file path (set when --no-raw is used). + /// Stored for reference; the actual binary is not in the memory file. + #[serde(default)] + pub source_path: Option, + /// Enrichment state for progressive ingestion. + /// Frames start as Searchable and progress to Enriched in background. + #[serde(default)] + pub enrichment_state: super::common::EnrichmentState, +} + +const MAX_CHILD_FRAMES: usize = 10_000; +const MAX_TAGS: usize = 1_024; +const MAX_LABELS: usize = 1_024; +const MAX_CONTENT_DATES: usize = 1_024; +const MAX_EXTRA_METADATA_ENTRIES: usize = 4_096; + +fn deserialize_vec_bounded<'de, D, T, const LIMIT: usize>( + deserializer: D, +) -> Result, D::Error> +where + D: serde::Deserializer<'de>, + T: Deserialize<'de>, +{ + struct BoundedVisitor(PhantomData); + + impl<'de, T, const LIMIT: usize> Visitor<'de> for BoundedVisitor + where + T: Deserialize<'de>, + { + type Value = Vec; + + fn expecting(&self, formatter: &mut fmt::Formatter<'_>) -> fmt::Result { + formatter.write_str("a sequence with a bounded length") + } + + fn visit_seq(self, mut seq: A) -> Result + where + A: SeqAccess<'de>, + { + let mut values = if let Some(size) = seq.size_hint() { + if size > LIMIT { + return Err(de::Error::custom(format!( + "sequence length {size} exceeds bound {LIMIT}" + ))); + } + Vec::with_capacity(size.min(LIMIT)) + } else { + Vec::new() + }; + while let Some(value) = seq.next_element()? { + if values.len() == LIMIT { + return Err(de::Error::custom(format!( + "sequence length exceeds bound {LIMIT}" + ))); + } + values.push(value); + } + Ok(values) + } + } + + deserializer.deserialize_seq(BoundedVisitor::(PhantomData)) +} + +fn deserialize_child_frames<'de, D>(deserializer: D) -> Result, D::Error> +where + D: serde::Deserializer<'de>, +{ + deserialize_vec_bounded::(deserializer) +} + +fn deserialize_tags<'de, D>(deserializer: D) -> Result, D::Error> +where + D: serde::Deserializer<'de>, +{ + deserialize_vec_bounded::(deserializer) +} + +fn deserialize_labels<'de, D>(deserializer: D) -> Result, D::Error> +where + D: serde::Deserializer<'de>, +{ + deserialize_vec_bounded::(deserializer) +} + +fn deserialize_content_dates<'de, D>(deserializer: D) -> Result, D::Error> +where + D: serde::Deserializer<'de>, +{ + deserialize_vec_bounded::(deserializer) +} + +fn deserialize_extra_metadata<'de, D>(deserializer: D) -> Result, D::Error> +where + D: serde::Deserializer<'de>, +{ + struct MapVisitor; + + impl<'de, const LIMIT: usize> Visitor<'de> for MapVisitor { + type Value = BTreeMap; + + fn expecting(&self, formatter: &mut fmt::Formatter<'_>) -> fmt::Result { + formatter.write_str("a map with a bounded number of entries") + } + + fn visit_map(self, mut map: A) -> Result + where + A: MapAccess<'de>, + { + let mut values = BTreeMap::new(); + while let Some((key, value)) = map.next_entry()? { + if values.len() == LIMIT { + return Err(de::Error::custom(format!( + "map entries exceed bound {LIMIT}" + ))); + } + values.insert(key, value); + } + Ok(values) + } + } + + deserializer.deserialize_map(MapVisitor::) +} + +/// Source of temporal anchor for a frame. +/// ALWAYS defined - feature only controls if code uses it. +#[repr(u8)] +#[derive(Debug, Clone, Copy, Serialize, Deserialize, PartialEq, Eq)] +#[serde(rename_all = "snake_case")] +pub enum AnchorSource { + Explicit, + FrameTimestamp, + Metadata, + IngestionClock, +} diff --git a/src/types/graph_query.rs b/src/types/graph_query.rs new file mode 100644 index 0000000..417abe8 --- /dev/null +++ b/src/types/graph_query.rs @@ -0,0 +1,337 @@ +//! Graph-aware query types for hybrid retrieval. +//! +//! Enables combining graph traversal with vector similarity for relational queries. + +use serde::{Deserialize, Serialize}; + +use super::common::FrameId; + +/// A triple pattern for graph matching. +/// Variables start with `?`, literals are exact matches. +#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)] +pub struct TriplePattern { + /// Subject: entity name or `?var` + pub subject: PatternTerm, + /// Predicate: slot/relationship name or `?var` + pub predicate: PatternTerm, + /// Object: value or entity or `?var` + pub object: PatternTerm, +} + +impl TriplePattern { + /// Create a new triple pattern. + #[must_use] + pub fn new(subject: PatternTerm, predicate: PatternTerm, object: PatternTerm) -> Self { + Self { + subject, + predicate, + object, + } + } + + /// Create a pattern matching entity:slot = value + #[must_use] + pub fn entity_slot_value(entity: &str, slot: &str, value: &str) -> Self { + Self { + subject: PatternTerm::Literal(entity.to_lowercase()), + predicate: PatternTerm::Literal(slot.to_lowercase()), + object: PatternTerm::Literal(value.to_string()), + } + } + + /// Create a pattern matching entity:slot = ?var (any value) + #[must_use] + pub fn entity_slot_any(entity: &str, slot: &str, var: &str) -> Self { + Self { + subject: PatternTerm::Literal(entity.to_lowercase()), + predicate: PatternTerm::Literal(slot.to_lowercase()), + object: PatternTerm::Variable(var.to_string()), + } + } + + /// Create a pattern matching ?entity:slot = value (find entities with this value) + #[must_use] + pub fn any_slot_value(var: &str, slot: &str, value: &str) -> Self { + Self { + subject: PatternTerm::Variable(var.to_string()), + predicate: PatternTerm::Literal(slot.to_lowercase()), + object: PatternTerm::Literal(value.to_string()), + } + } +} + +/// A term in a triple pattern - either a variable or literal. +#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)] +pub enum PatternTerm { + /// Variable binding (e.g., `?user`, `?food`) + Variable(String), + /// Literal value (e.g., "alice", "employer", "Anthropic") + Literal(String), +} + +impl PatternTerm { + /// Check if this term is a variable. + #[must_use] + pub fn is_variable(&self) -> bool { + matches!(self, Self::Variable(_)) + } + + /// Get the variable name if this is a variable. + #[must_use] + pub fn variable_name(&self) -> Option<&str> { + match self { + Self::Variable(name) => Some(name), + Self::Literal(_) => None, + } + } + + /// Get the literal value if this is a literal. + #[must_use] + pub fn literal_value(&self) -> Option<&str> { + match self { + Self::Literal(value) => Some(value), + Self::Variable(_) => None, + } + } +} + +/// A graph pattern for filtering - conjunction of triple patterns. +#[derive(Debug, Clone, Default, Serialize, Deserialize)] +pub struct GraphPattern { + /// Triple patterns to match (all must match - AND semantics) + pub triples: Vec, +} + +impl GraphPattern { + /// Create an empty pattern. + #[must_use] + pub fn new() -> Self { + Self::default() + } + + /// Add a triple pattern. + pub fn add(&mut self, pattern: TriplePattern) { + self.triples.push(pattern); + } + + /// Create from a single triple pattern. + #[must_use] + pub fn single(pattern: TriplePattern) -> Self { + Self { + triples: vec![pattern], + } + } + + /// Check if the pattern is empty. + #[must_use] + pub fn is_empty(&self) -> bool { + self.triples.is_empty() + } + + /// Get all variables used in this pattern. + #[must_use] + pub fn variables(&self) -> Vec<&str> { + let mut vars = Vec::new(); + for triple in &self.triples { + if let Some(v) = triple.subject.variable_name() { + if !vars.contains(&v) { + vars.push(v); + } + } + if let Some(v) = triple.predicate.variable_name() { + if !vars.contains(&v) { + vars.push(v); + } + } + if let Some(v) = triple.object.variable_name() { + if !vars.contains(&v) { + vars.push(v); + } + } + } + vars + } +} + +/// Query plan for graph-aware retrieval. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub enum QueryPlan { + /// Pure vector similarity (fallback when no graph patterns detected) + VectorOnly { + /// Query embedding + query_embedding: Option>, + /// Query text for lexical search + query_text: Option, + /// Number of results + top_k: usize, + }, + + /// Pure graph traversal (for relational queries) + GraphOnly { + /// Graph pattern to match + pattern: GraphPattern, + /// Maximum results + limit: usize, + }, + + /// Hybrid: Graph filter + Vector rank + Hybrid { + /// First: Graph pattern to get candidate entities/frames + graph_filter: GraphPattern, + /// Then: Vector similarity to rank within candidates + query_embedding: Option>, + /// Query text for lexical boosting + query_text: Option, + /// Number of final results + top_k: usize, + }, +} + +impl QueryPlan { + /// Create a vector-only plan. + #[must_use] + pub fn vector_only( + query_text: Option, + query_embedding: Option>, + top_k: usize, + ) -> Self { + Self::VectorOnly { + query_embedding, + query_text, + top_k, + } + } + + /// Create a graph-only plan. + #[must_use] + pub fn graph_only(pattern: GraphPattern, limit: usize) -> Self { + Self::GraphOnly { pattern, limit } + } + + /// Create a hybrid plan. + #[must_use] + pub fn hybrid( + graph_filter: GraphPattern, + query_text: Option, + query_embedding: Option>, + top_k: usize, + ) -> Self { + Self::Hybrid { + graph_filter, + query_embedding, + query_text, + top_k, + } + } + + /// Check if this plan uses graph patterns. + #[must_use] + pub fn uses_graph(&self) -> bool { + matches!(self, Self::GraphOnly { .. } | Self::Hybrid { .. }) + } + + /// Check if this plan uses vector search. + #[must_use] + pub fn uses_vector(&self) -> bool { + matches!(self, Self::VectorOnly { .. } | Self::Hybrid { .. }) + } +} + +/// Result of graph pattern matching. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct GraphMatchResult { + /// Matched entity name + pub entity: String, + /// Frame IDs where the match was found + pub frame_ids: Vec, + /// Variable bindings for this match + pub bindings: std::collections::HashMap, + /// Confidence score (0.0-1.0) + pub confidence: f32, +} + +impl GraphMatchResult { + /// Create a new match result. + #[must_use] + pub fn new(entity: String, frame_ids: Vec, confidence: f32) -> Self { + Self { + entity, + frame_ids, + bindings: std::collections::HashMap::new(), + confidence, + } + } + + /// Add a variable binding. + pub fn bind(&mut self, var: &str, value: String) { + self.bindings.insert(var.to_string(), value); + } +} + +/// Result of hybrid search combining graph and vector. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct HybridSearchHit { + /// Frame ID + pub frame_id: FrameId, + /// Combined score (graph + vector) + pub score: f32, + /// Graph pattern match score (0.0-1.0) + pub graph_score: f32, + /// Vector similarity score (0.0-1.0) + pub vector_score: f32, + /// Entity that matched the graph pattern + pub matched_entity: Option, + /// Frame content preview + pub preview: Option, +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_triple_pattern_creation() { + let pattern = TriplePattern::entity_slot_value("alice", "employer", "Anthropic"); + assert_eq!(pattern.subject, PatternTerm::Literal("alice".to_string())); + assert_eq!( + pattern.predicate, + PatternTerm::Literal("employer".to_string()) + ); + assert_eq!( + pattern.object, + PatternTerm::Literal("Anthropic".to_string()) + ); + } + + #[test] + fn test_graph_pattern_variables() { + let mut pattern = GraphPattern::new(); + pattern.add(TriplePattern::any_slot_value( + "user", + "location", + "San Francisco", + )); + pattern.add(TriplePattern::entity_slot_any( + "?user", "employer", "company", + )); + + let vars = pattern.variables(); + assert!(vars.contains(&"user")); + assert!(vars.contains(&"company")); + } + + #[test] + fn test_query_plan_types() { + let vector_plan = QueryPlan::vector_only(Some("test".into()), None, 10); + assert!(!vector_plan.uses_graph()); + assert!(vector_plan.uses_vector()); + + let graph_plan = QueryPlan::graph_only(GraphPattern::new(), 10); + assert!(graph_plan.uses_graph()); + assert!(!graph_plan.uses_vector()); + + let hybrid_plan = QueryPlan::hybrid(GraphPattern::new(), Some("test".into()), None, 10); + assert!(hybrid_plan.uses_graph()); + assert!(hybrid_plan.uses_vector()); + } +} diff --git a/src/types/logic_mesh.rs b/src/types/logic_mesh.rs new file mode 100644 index 0000000..e2a8741 --- /dev/null +++ b/src/types/logic_mesh.rs @@ -0,0 +1,715 @@ +//! Logic-Mesh on-disk graph structure for entity and relationship tracking. +//! +//! Logic-Mesh is a graph track inside `.mv2` that detects entities and relationships +//! during ingestion, allowing Memvid to follow facts instead of guessing with vectors. + +use serde::{Deserialize, Serialize}; +use std::collections::{HashMap, HashSet}; +use std::hash::{Hash, Hasher}; + +use super::common::FrameId; +use crate::{MemvidError, Result}; + +/// Magic bytes for Logic-Mesh blob. +pub const LOGIC_MESH_MAGIC: &[u8; 4] = b"MVLM"; + +/// Current schema version. +pub const LOGIC_MESH_VERSION: u16 = 1; + +/// Maximum nodes allowed (`DoS` prevention). +pub const MAX_MESH_NODES: usize = 1_000_000; + +/// Maximum edges allowed (`DoS` prevention). +pub const MAX_MESH_EDGES: usize = 5_000_000; + +/// A node in the logic mesh representing an entity. +#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)] +pub struct MeshNode { + /// Unique node ID (deterministic: hash of `canonical_name` + kind). + pub id: u64, + /// Canonical entity name (lowercased, normalized). + pub canonical_name: String, + /// Display name (original casing). + pub display_name: String, + /// Entity kind. + pub kind: EntityKind, + /// Confidence score from NER (0.0–1.0), stored as u8 (0-100). + pub confidence: u8, + /// Frame IDs where this entity appears. + pub frame_ids: Vec, + /// Byte spans within frames: (`frame_id`, `byte_start`, `byte_len`). + pub mentions: Vec<(FrameId, u32, u16)>, +} + +impl MeshNode { + /// Create a new mesh node with computed ID. + #[must_use] + pub fn new( + canonical_name: String, + display_name: String, + kind: EntityKind, + confidence: f32, + frame_id: FrameId, + byte_start: u32, + byte_len: u16, + ) -> Self { + let id = compute_node_id(&canonical_name, kind); + #[allow(clippy::cast_possible_truncation)] + let confidence = (confidence * 100.0).min(100.0) as u8; + + Self { + id, + canonical_name, + display_name, + kind, + confidence, + frame_ids: vec![frame_id], + mentions: vec![(frame_id, byte_start, byte_len)], + } + } + + /// Get confidence as f32 (0.0-1.0). + #[must_use] + pub fn confidence_f32(&self) -> f32 { + f32::from(self.confidence) / 100.0 + } +} + +/// Entity classification. +#[derive(Debug, Clone, Copy, Serialize, Deserialize, PartialEq, Eq, Hash)] +#[serde(rename_all = "snake_case")] +#[repr(u8)] +pub enum EntityKind { + Person = 0, + Organization = 1, + Project = 2, + Email = 3, + Date = 4, + Location = 5, + Product = 6, + Event = 7, + Money = 8, + Url = 9, + Other = 255, +} + +impl EntityKind { + /// Parse entity kind from NER label string. + #[must_use] + pub fn from_label(label: &str) -> Self { + match label.to_lowercase().as_str() { + "person" | "per" => Self::Person, + "organization" | "org" | "company" => Self::Organization, + "project" | "product" => Self::Project, + "email" => Self::Email, + "date" | "time" => Self::Date, + "location" | "loc" | "gpe" => Self::Location, + "money" | "currency" => Self::Money, + "url" | "link" => Self::Url, + "event" => Self::Event, + _ => Self::Other, + } + } + + /// Get display name for this entity kind. + #[must_use] + pub const fn as_str(&self) -> &'static str { + match self { + Self::Person => "person", + Self::Organization => "organization", + Self::Project => "project", + Self::Email => "email", + Self::Date => "date", + Self::Location => "location", + Self::Product => "product", + Self::Event => "event", + Self::Money => "money", + Self::Url => "url", + Self::Other => "other", + } + } +} + +/// A directed edge in the logic mesh representing a relationship. +#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)] +pub struct MeshEdge { + /// Source node ID. + pub from_node: u64, + /// Target node ID. + pub to_node: u64, + /// Relationship type. + pub link: LinkType, + /// Confidence score (0-100). + pub confidence: u8, + /// Frame ID where relationship was detected. + pub frame_id: FrameId, +} + +impl MeshEdge { + /// Create a new edge. + #[must_use] + pub fn new( + from_node: u64, + to_node: u64, + link: LinkType, + confidence: f32, + frame_id: FrameId, + ) -> Self { + #[allow(clippy::cast_possible_truncation)] + let confidence = (confidence * 100.0).min(100.0) as u8; + + Self { + from_node, + to_node, + link, + confidence, + frame_id, + } + } + + /// Get confidence as f32 (0.0-1.0). + #[must_use] + pub fn confidence_f32(&self) -> f32 { + f32::from(self.confidence) / 100.0 + } +} + +/// Relationship types between entities. +#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq, Hash)] +#[serde(rename_all = "snake_case")] +pub enum LinkType { + Manager, + Member, + Owner, + Author, + Email, + Deadline, + Location, + Employer, + Parent, + Child, + Related, + Custom(String), +} + +impl LinkType { + /// Get string representation. + #[must_use] + pub fn as_str(&self) -> &str { + match self { + Self::Manager => "manager", + Self::Member => "member", + Self::Owner => "owner", + Self::Author => "author", + Self::Email => "email", + Self::Deadline => "deadline", + Self::Location => "location", + Self::Employer => "employer", + Self::Parent => "parent", + Self::Child => "child", + Self::Related => "related", + Self::Custom(s) => s.as_str(), + } + } + + /// Parse link type from string. + #[must_use] + pub fn from_str(s: &str) -> Self { + match s.to_lowercase().as_str() { + "manager" | "manages" | "managed_by" => Self::Manager, + "member" | "member_of" => Self::Member, + "owner" | "owns" | "owned_by" => Self::Owner, + "author" | "wrote" | "written_by" => Self::Author, + "email" | "contact" => Self::Email, + "deadline" | "due" | "due_date" => Self::Deadline, + "location" | "located_in" | "at" => Self::Location, + "employer" | "works_at" | "employed_by" => Self::Employer, + "parent" | "parent_of" => Self::Parent, + "child" | "child_of" => Self::Child, + "related" | "related_to" => Self::Related, + other => Self::Custom(other.to_string()), + } + } +} + +/// Edge direction for adjacency traversal. +#[derive(Debug, Clone, Copy, PartialEq, Eq)] +pub enum EdgeDirection { + Outgoing, + Incoming, +} + +/// Result from `follow()` traversal. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct FollowResult { + /// Entity name found. + pub node: String, + /// Entity kind. + pub kind: EntityKind, + /// Confidence score (0.0-1.0). + pub confidence: f32, + /// Frame IDs where this entity appears. + pub frame_ids: Vec, + /// Path length from start node. + pub path_length: usize, +} + +/// Statistics about the logic mesh. +#[derive(Debug, Clone, Default, Serialize, Deserialize)] +pub struct LogicMeshStats { + /// Total node count. + pub node_count: usize, + /// Total edge count. + pub edge_count: usize, + /// Count by entity kind. + pub entity_kinds: HashMap, + /// Count by link type. + pub link_types: HashMap, +} + +/// Complete Logic-Mesh graph structure. +#[derive(Debug, Clone, Default, Serialize, Deserialize)] +pub struct LogicMesh { + /// All nodes, sorted by id for determinism. + pub nodes: Vec, + /// All edges, sorted by (`from_node`, `to_node`, link) for determinism. + pub edges: Vec, + /// Adjacency list: `node_id` → [(`edge_idx`, direction)]. + /// Built on load, not serialized. + #[serde(skip)] + adjacency: HashMap>, +} + +impl LogicMesh { + /// Create an empty logic mesh. + #[must_use] + pub fn new() -> Self { + Self::default() + } + + /// Check if the mesh is empty. + #[must_use] + pub fn is_empty(&self) -> bool { + self.nodes.is_empty() && self.edges.is_empty() + } + + /// Get statistics about the mesh. + #[must_use] + pub fn stats(&self) -> LogicMeshStats { + let mut entity_kinds = HashMap::new(); + for node in &self.nodes { + *entity_kinds + .entry(node.kind.as_str().to_string()) + .or_insert(0) += 1; + } + + let mut link_types = HashMap::new(); + for edge in &self.edges { + *link_types + .entry(edge.link.as_str().to_string()) + .or_insert(0) += 1; + } + + LogicMeshStats { + node_count: self.nodes.len(), + edge_count: self.edges.len(), + entity_kinds, + link_types, + } + } + + /// Serialize mesh to bytes with magic header. + pub fn serialize(&self) -> Result> { + let mut buf = Vec::new(); + buf.extend_from_slice(LOGIC_MESH_MAGIC); + buf.extend_from_slice(&LOGIC_MESH_VERSION.to_le_bytes()); + + // Sort for determinism before serialization + let mut sorted = self.clone(); + sorted.nodes.sort_by_key(|n| n.id); + sorted.edges.sort_by(|a, b| { + (a.from_node, a.to_node, a.link.as_str()).cmp(&( + b.from_node, + b.to_node, + b.link.as_str(), + )) + }); + + // Serialize with bincode + let config = bincode::config::standard() + .with_fixed_int_encoding() + .with_little_endian(); + let payload = bincode::serde::encode_to_vec(&sorted, config).map_err(|e| { + MemvidError::InvalidLogicMesh { + reason: format!("serialization failed: {e}").into(), + } + })?; + + // Compress with zstd + let compressed = + zstd::encode_all(payload.as_slice(), 3).map_err(|e| MemvidError::InvalidLogicMesh { + reason: format!("compression failed: {e}").into(), + })?; + + buf.extend_from_slice(&(compressed.len() as u64).to_le_bytes()); + buf.extend(compressed); + + Ok(buf) + } + + /// Deserialize mesh from bytes. + pub fn deserialize(bytes: &[u8]) -> Result { + if bytes.len() < 14 { + return Err(MemvidError::InvalidLogicMesh { + reason: "blob too short".into(), + }); + } + + if &bytes[0..4] != LOGIC_MESH_MAGIC { + return Err(MemvidError::InvalidLogicMesh { + reason: "invalid magic bytes".into(), + }); + } + + let version = u16::from_le_bytes([bytes[4], bytes[5]]); + if version > LOGIC_MESH_VERSION { + return Err(MemvidError::InvalidLogicMesh { + reason: format!("unsupported version: {version}").into(), + }); + } + + let compressed_len = usize::try_from(u64::from_le_bytes(bytes[6..14].try_into().map_err( + |_| MemvidError::InvalidLogicMesh { + reason: "invalid length header".into(), + }, + )?)) + .unwrap_or(0); + + if bytes.len() < 14 + compressed_len { + return Err(MemvidError::InvalidLogicMesh { + reason: "truncated blob".into(), + }); + } + + let compressed = &bytes[14..14 + compressed_len]; + let decompressed = + zstd::decode_all(compressed).map_err(|e| MemvidError::InvalidLogicMesh { + reason: format!("decompression failed: {e}").into(), + })?; + + let config = bincode::config::standard() + .with_fixed_int_encoding() + .with_little_endian(); + let (mut mesh, _): (LogicMesh, _) = + bincode::serde::decode_from_slice(&decompressed, config).map_err(|e| { + MemvidError::InvalidLogicMesh { + reason: format!("deserialization failed: {e}").into(), + } + })?; + + // Validate bounds + if mesh.nodes.len() > MAX_MESH_NODES { + return Err(MemvidError::InvalidLogicMesh { + reason: format!("too many nodes: {}", mesh.nodes.len()).into(), + }); + } + if mesh.edges.len() > MAX_MESH_EDGES { + return Err(MemvidError::InvalidLogicMesh { + reason: format!("too many edges: {}", mesh.edges.len()).into(), + }); + } + + mesh.build_adjacency(); + Ok(mesh) + } + + /// Build adjacency index from edges. + pub fn build_adjacency(&mut self) { + self.adjacency.clear(); + for (idx, edge) in self.edges.iter().enumerate() { + self.adjacency + .entry(edge.from_node) + .or_default() + .push((idx, EdgeDirection::Outgoing)); + self.adjacency + .entry(edge.to_node) + .or_default() + .push((idx, EdgeDirection::Incoming)); + } + } + + /// Find node by canonical name (case-insensitive). + #[must_use] + pub fn find_node(&self, name: &str) -> Option<&MeshNode> { + let canonical = name.to_lowercase(); + let canonical = canonical.trim(); + self.nodes + .iter() + .find(|n| n.canonical_name == canonical || n.display_name.to_lowercase() == canonical) + } + + /// Find node by ID. + #[must_use] + pub fn find_node_by_id(&self, id: u64) -> Option<&MeshNode> { + self.nodes.iter().find(|n| n.id == id) + } + + /// Follow edges from a start node. + #[must_use] + pub fn follow(&self, start: &str, link: &str, hops: usize) -> Vec { + let Some(start_node) = self.find_node(start) else { + return Vec::new(); + }; + + let link_type = LinkType::from_str(link); + let mut results = Vec::new(); + let mut visited = HashSet::new(); + let mut frontier = vec![(start_node.id, 0usize)]; + + while let Some((node_id, depth)) = frontier.pop() { + if depth >= hops || visited.contains(&node_id) { + continue; + } + visited.insert(node_id); + + if let Some(adj) = self.adjacency.get(&node_id) { + for &(edge_idx, direction) in adj { + let edge = &self.edges[edge_idx]; + + // Match link type + if edge.link.as_str() != link_type.as_str() { + continue; + } + + let target_id = match direction { + EdgeDirection::Outgoing => edge.to_node, + EdgeDirection::Incoming => edge.from_node, + }; + + if let Some(target_node) = self.find_node_by_id(target_id) { + results.push(FollowResult { + node: target_node.display_name.clone(), + kind: target_node.kind, + confidence: edge.confidence_f32(), + frame_ids: target_node.frame_ids.clone(), + path_length: depth + 1, + }); + + if depth + 1 < hops { + frontier.push((target_id, depth + 1)); + } + } + } + } + } + + // Sort by confidence descending + results.sort_by(|a, b| { + b.confidence + .partial_cmp(&a.confidence) + .unwrap_or(std::cmp::Ordering::Equal) + }); + results + } + + /// Merge a node into the mesh, deduplicating by canonical name + kind. + pub fn merge_node(&mut self, node: MeshNode) { + // Find existing node by canonical name and kind + if let Some(existing) = self + .nodes + .iter_mut() + .find(|n| n.canonical_name == node.canonical_name && n.kind == node.kind) + { + // Merge frame_ids + for fid in node.frame_ids { + if !existing.frame_ids.contains(&fid) { + existing.frame_ids.push(fid); + } + } + // Merge mentions + existing.mentions.extend(node.mentions); + // Update confidence to max + existing.confidence = existing.confidence.max(node.confidence); + } else { + self.nodes.push(node); + } + } + + /// Merge an edge into the mesh, deduplicating by (from, to, link). + pub fn merge_edge(&mut self, edge: MeshEdge) { + // Deduplicate edges + if !self.edges.iter().any(|e| { + e.from_node == edge.from_node + && e.to_node == edge.to_node + && e.link.as_str() == edge.link.as_str() + }) { + self.edges.push(edge); + } + } + + /// Prepare the mesh for serialization (sort and rebuild adjacency). + pub fn finalize(&mut self) { + self.nodes.sort_by_key(|n| n.id); + self.edges.sort_by(|a, b| { + (a.from_node, a.to_node, a.link.as_str()).cmp(&( + b.from_node, + b.to_node, + b.link.as_str(), + )) + }); + self.build_adjacency(); + } +} + +/// Compute deterministic node ID from canonical name and kind. +#[must_use] +pub fn compute_node_id(canonical_name: &str, kind: EntityKind) -> u64 { + let mut hasher = std::collections::hash_map::DefaultHasher::new(); + canonical_name.hash(&mut hasher); + (kind as u8).hash(&mut hasher); + hasher.finish() +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_mesh_roundtrip() { + let mut mesh = LogicMesh::new(); + + mesh.merge_node(MeshNode::new( + "sarah lee".to_string(), + "Sarah Lee".to_string(), + EntityKind::Person, + 0.95, + 0, + 0, + 10, + )); + + mesh.merge_node(MeshNode::new( + "project alpha".to_string(), + "Project Alpha".to_string(), + EntityKind::Project, + 0.88, + 0, + 20, + 13, + )); + + let sarah_id = compute_node_id("sarah lee", EntityKind::Person); + let project_id = compute_node_id("project alpha", EntityKind::Project); + + mesh.merge_edge(MeshEdge::new( + sarah_id, + project_id, + LinkType::Manager, + 0.90, + 0, + )); + + mesh.finalize(); + + let bytes = mesh.serialize().expect("serialize"); + let restored = LogicMesh::deserialize(&bytes).expect("deserialize"); + + assert_eq!(mesh.nodes.len(), restored.nodes.len()); + assert_eq!(mesh.edges.len(), restored.edges.len()); + } + + #[test] + fn test_follow() { + let mut mesh = LogicMesh::new(); + + mesh.merge_node(MeshNode::new( + "sarah lee".to_string(), + "Sarah Lee".to_string(), + EntityKind::Person, + 0.95, + 0, + 0, + 10, + )); + + mesh.merge_node(MeshNode::new( + "project alpha".to_string(), + "Project Alpha".to_string(), + EntityKind::Project, + 0.88, + 0, + 20, + 13, + )); + + let sarah_id = compute_node_id("sarah lee", EntityKind::Person); + let project_id = compute_node_id("project alpha", EntityKind::Project); + + mesh.merge_edge(MeshEdge::new( + project_id, + sarah_id, + LinkType::Manager, + 0.90, + 0, + )); + + mesh.finalize(); + + let results = mesh.follow("Project Alpha", "manager", 1); + assert_eq!(results.len(), 1); + assert_eq!(results[0].node, "Sarah Lee"); + } + + #[test] + fn test_deterministic_serialization() { + let mut mesh1 = LogicMesh::new(); + let mut mesh2 = LogicMesh::new(); + + // Add in different orders + mesh1.merge_node(MeshNode::new( + "alice".to_string(), + "Alice".to_string(), + EntityKind::Person, + 0.9, + 0, + 0, + 5, + )); + mesh1.merge_node(MeshNode::new( + "bob".to_string(), + "Bob".to_string(), + EntityKind::Person, + 0.8, + 1, + 0, + 3, + )); + + mesh2.merge_node(MeshNode::new( + "bob".to_string(), + "Bob".to_string(), + EntityKind::Person, + 0.8, + 1, + 0, + 3, + )); + mesh2.merge_node(MeshNode::new( + "alice".to_string(), + "Alice".to_string(), + EntityKind::Person, + 0.9, + 0, + 0, + 5, + )); + + mesh1.finalize(); + mesh2.finalize(); + + let bytes1 = mesh1.serialize().expect("serialize 1"); + let bytes2 = mesh2.serialize().expect("serialize 2"); + + assert_eq!(bytes1, bytes2, "Serialization must be deterministic"); + } +} diff --git a/src/types/manifest.rs b/src/types/manifest.rs new file mode 100644 index 0000000..1882f4c --- /dev/null +++ b/src/types/manifest.rs @@ -0,0 +1,935 @@ +//! Persistent manifest structures describing segments, indices, and TOC. + +use serde::{ + Deserialize, Serialize, + de::{self, SeqAccess, Visitor}, + ser::SerializeStruct, +}; + +use super::{common::FrameId, frame::Frame, ticket::TicketRef}; + +use std::{fmt, marker::PhantomData}; + +const MAX_TOC_SEGMENTS: usize = 1_000_000; +const MAX_TOC_FRAMES: usize = 10_000_000; +const MAX_SEGMENT_CATALOG_ENTRIES: usize = 1_000_000; + +fn deserialize_vec_bounded<'de, D, T, const LIMIT: usize>( + deserializer: D, +) -> Result, D::Error> +where + D: serde::Deserializer<'de>, + T: Deserialize<'de>, +{ + struct BoundedVisitor(PhantomData); + + impl<'de, T, const LIMIT: usize> Visitor<'de> for BoundedVisitor + where + T: Deserialize<'de>, + { + type Value = Vec; + + fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result { + formatter.write_str("a sequence with a reasonable length") + } + + fn visit_seq(self, mut seq: A) -> Result + where + A: SeqAccess<'de>, + { + if let Some(size) = seq.size_hint() { + if size > LIMIT { + return Err(de::Error::custom(format!( + "sequence length {size} exceeds bound {LIMIT}" + ))); + } + let mut values = Vec::with_capacity(size.min(LIMIT)); + for i in 0..size { + let element = seq + .next_element()? + .ok_or_else(|| de::Error::invalid_length(i, &self))?; + values.push(element); + } + Ok(values) + } else { + let mut values = Vec::new(); + while let Some(element) = seq.next_element()? { + if values.len() == LIMIT { + return Err(de::Error::custom(format!( + "sequence length exceeds bound {LIMIT}" + ))); + } + values.push(element); + } + Ok(values) + } + } + } + + deserializer.deserialize_seq(BoundedVisitor::(PhantomData)) +} + +fn deserialize_toc_segments<'de, D>(deserializer: D) -> Result, D::Error> +where + D: serde::Deserializer<'de>, +{ + deserialize_vec_bounded::(deserializer) +} + +fn deserialize_toc_frames<'de, D>(deserializer: D) -> Result, D::Error> +where + D: serde::Deserializer<'de>, +{ + deserialize_vec_bounded::(deserializer) +} + +fn deserialize_catalog_lex<'de, D>(deserializer: D) -> Result, D::Error> +where + D: serde::Deserializer<'de>, +{ + deserialize_vec_bounded::(deserializer) +} + +fn deserialize_catalog_vec<'de, D>(deserializer: D) -> Result, D::Error> +where + D: serde::Deserializer<'de>, +{ + deserialize_vec_bounded::(deserializer) +} + +fn deserialize_catalog_time<'de, D>(deserializer: D) -> Result, D::Error> +where + D: serde::Deserializer<'de>, +{ + deserialize_vec_bounded::(deserializer) +} + +fn deserialize_catalog_temporal<'de, D>( + deserializer: D, +) -> Result, D::Error> +where + D: serde::Deserializer<'de>, +{ + deserialize_vec_bounded::( + deserializer, + ) +} + +fn deserialize_catalog_tantivy<'de, D>( + deserializer: D, +) -> Result, D::Error> +where + D: serde::Deserializer<'de>, +{ + deserialize_vec_bounded::( + deserializer, + ) +} + +fn deserialize_catalog_index<'de, D>(deserializer: D) -> Result, D::Error> +where + D: serde::Deserializer<'de>, +{ + deserialize_vec_bounded::(deserializer) +} + +/// Incremental segment metadata catalogued within the TOC footer. +/// binary format compatibility. Feature flags control functionality, NOT structure. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct SegmentCatalog { + /// Monotonically increasing identifier assigned to newly published segments. + #[serde(default)] + pub next_segment_id: u64, + /// Optional catalog version for future schema evolution. + #[serde(default)] + pub version: u32, + /// Flag indicating if lexical search has been enabled (persists even with no segments). + #[serde(default)] + pub lex_enabled: bool, + /// Lexical search segments emitted by incremental commits. + #[serde(default, deserialize_with = "deserialize_catalog_lex")] + pub lex_segments: Vec, + /// Vector search segments emitted by incremental commits. + #[serde(default, deserialize_with = "deserialize_catalog_vec")] + pub vec_segments: Vec, + /// Time index segments emitted by incremental commits. + #[serde(default, deserialize_with = "deserialize_catalog_time")] + pub time_segments: Vec, + /// Temporal mention segments emitted by incremental commits. + /// ALWAYS present in struct - feature only controls if code uses it. + #[serde(default, deserialize_with = "deserialize_catalog_temporal")] + pub temporal_segments: Vec, + /// Tantivy (lexical) segments emitted by incremental commits. + #[serde(default, deserialize_with = "deserialize_catalog_tantivy")] + pub tantivy_segments: Vec, + /// Unified append-only segment references (parallel builder). + /// ALWAYS present in struct - feature only controls if code uses it. + #[serde(default, deserialize_with = "deserialize_catalog_index")] + pub index_segments: Vec, +} + +impl Default for SegmentCatalog { + fn default() -> Self { + Self { + next_segment_id: 0, + version: 1, + lex_enabled: false, + lex_segments: Vec::new(), + vec_segments: Vec::new(), + time_segments: Vec::new(), + temporal_segments: Vec::new(), + tantivy_segments: Vec::new(), + index_segments: Vec::new(), + } + } +} + +/// Shared metadata stored for an individual segment artifact. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct SegmentCommon { + pub segment_id: u64, + pub bytes_offset: u64, + pub bytes_length: u64, + pub checksum: [u8; 32], + #[serde(default)] + pub build_sequence: u64, + #[serde(default)] + pub codec_version: u16, + #[serde(default)] + pub compression: SegmentCompression, + #[serde(default)] + pub span: Option, +} + +impl SegmentCommon { + #[must_use] + pub fn new(segment_id: u64, bytes_offset: u64, bytes_length: u64, checksum: [u8; 32]) -> Self { + Self { + segment_id, + bytes_offset, + bytes_length, + checksum, + build_sequence: 0, + codec_version: 0, + compression: SegmentCompression::None, + span: None, + } + } +} + +/// Logical span covered by a sealed segment. +#[derive(Debug, Copy, Clone, Default, Serialize, Deserialize, PartialEq, Eq)] +pub struct SegmentSpan { + pub frame_start: FrameId, + pub frame_end: FrameId, + #[serde(default)] + pub page_start: u32, + #[serde(default)] + pub page_end: u32, + #[serde(default)] + pub token_start: u64, + #[serde(default)] + pub token_end: u64, +} + +/// Lightweight descriptor stored in the manifest WAL for append-only segments. +/// Always defined for backwards compatibility. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct IndexSegmentRef { + pub kind: SegmentKind, + pub common: SegmentCommon, + #[serde(default)] + pub stats: SegmentStats, +} + +/// Segment category emitted by the parallel builder. +/// Always defined for backwards compatibility. +#[derive(Debug, Clone, Copy, Serialize, Deserialize, PartialEq, Eq, Default)] +pub enum SegmentKind { + #[default] + Lexical, + Vector, + Time, + Temporal, + Tantivy, +} + +/// Build-time metrics captured for a sealed segment. +/// Always defined for backwards compatibility. +#[derive(Debug, Clone, Serialize, Deserialize, Default)] +pub struct SegmentStats { + pub doc_count: u64, + pub vector_count: u64, + pub time_entries: u64, + pub bytes_uncompressed: u64, + pub build_micros: u64, +} + +/// Manifest entry describing a lexical index segment. +#[derive(Debug, Clone)] +pub struct LexSegmentDescriptor { + pub common: SegmentCommon, + pub doc_count: u64, +} + +impl LexSegmentDescriptor { + #[must_use] + pub fn from_common(common: SegmentCommon, doc_count: u64) -> Self { + Self { common, doc_count } + } +} + +impl Serialize for LexSegmentDescriptor { + fn serialize(&self, serializer: S) -> Result + where + S: serde::Serializer, + { + let mut state = serializer.serialize_struct("LexSegmentDescriptor", 9)?; + state.serialize_field("segment_id", &self.common.segment_id)?; + state.serialize_field("bytes_offset", &self.common.bytes_offset)?; + state.serialize_field("bytes_length", &self.common.bytes_length)?; + state.serialize_field("checksum", &self.common.checksum)?; + state.serialize_field("build_sequence", &self.common.build_sequence)?; + state.serialize_field("codec_version", &self.common.codec_version)?; + state.serialize_field("compression", &self.common.compression)?; + state.serialize_field("span", &self.common.span)?; + state.serialize_field("doc_count", &self.doc_count)?; + state.end() + } +} + +impl<'de> Deserialize<'de> for LexSegmentDescriptor { + fn deserialize(deserializer: D) -> Result + where + D: serde::Deserializer<'de>, + { + #[derive(Deserialize)] + struct Repr { + segment_id: u64, + bytes_offset: u64, + bytes_length: u64, + checksum: [u8; 32], + #[serde(default)] + build_sequence: u64, + #[serde(default)] + codec_version: u16, + #[serde(default)] + compression: SegmentCompression, + #[serde(default)] + span: Option, + doc_count: u64, + } + + let repr = Repr::deserialize(deserializer)?; + let mut common = SegmentCommon::new( + repr.segment_id, + repr.bytes_offset, + repr.bytes_length, + repr.checksum, + ); + common.build_sequence = repr.build_sequence; + common.codec_version = repr.codec_version; + common.compression = repr.compression; + common.span = repr.span; + Ok(Self { + common, + doc_count: repr.doc_count, + }) + } +} + +/// Manifest entry describing a vector index segment. +#[derive(Debug, Clone)] +pub struct VecSegmentDescriptor { + pub common: SegmentCommon, + pub vector_count: u64, + pub dimension: u32, + pub vector_compression: VectorCompression, +} + +impl VecSegmentDescriptor { + #[must_use] + pub fn from_common( + common: SegmentCommon, + vector_count: u64, + dimension: u32, + vector_compression: VectorCompression, + ) -> Self { + Self { + common, + vector_count, + dimension, + vector_compression, + } + } +} + +impl Serialize for VecSegmentDescriptor { + fn serialize(&self, serializer: S) -> Result + where + S: serde::Serializer, + { + let mut state = serializer.serialize_struct("VecSegmentDescriptor", 11)?; + state.serialize_field("segment_id", &self.common.segment_id)?; + state.serialize_field("bytes_offset", &self.common.bytes_offset)?; + state.serialize_field("bytes_length", &self.common.bytes_length)?; + state.serialize_field("checksum", &self.common.checksum)?; + state.serialize_field("build_sequence", &self.common.build_sequence)?; + state.serialize_field("codec_version", &self.common.codec_version)?; + state.serialize_field("compression", &self.common.compression)?; + state.serialize_field("span", &self.common.span)?; + state.serialize_field("vector_count", &self.vector_count)?; + state.serialize_field("dimension", &self.dimension)?; + state.serialize_field("vector_compression", &self.vector_compression)?; + state.end() + } +} + +impl<'de> Deserialize<'de> for VecSegmentDescriptor { + fn deserialize(deserializer: D) -> Result + where + D: serde::Deserializer<'de>, + { + #[derive(Deserialize)] + struct Repr { + segment_id: u64, + bytes_offset: u64, + bytes_length: u64, + checksum: [u8; 32], + #[serde(default)] + build_sequence: u64, + #[serde(default)] + codec_version: u16, + #[serde(default)] + compression: SegmentCompression, + #[serde(default)] + span: Option, + vector_count: u64, + dimension: u32, + #[serde(default)] + vector_compression: VectorCompression, + } + + let repr = Repr::deserialize(deserializer)?; + let mut common = SegmentCommon::new( + repr.segment_id, + repr.bytes_offset, + repr.bytes_length, + repr.checksum, + ); + common.build_sequence = repr.build_sequence; + common.codec_version = repr.codec_version; + common.compression = repr.compression; + common.span = repr.span; + Ok(Self { + common, + vector_count: repr.vector_count, + dimension: repr.dimension, + vector_compression: repr.vector_compression, + }) + } +} + +/// Manifest entry describing a time index segment. +#[derive(Debug, Clone)] +pub struct TimeSegmentDescriptor { + pub common: SegmentCommon, + pub entry_count: u64, +} + +impl TimeSegmentDescriptor { + #[must_use] + pub fn from_common(common: SegmentCommon, entry_count: u64) -> Self { + Self { + common, + entry_count, + } + } +} + +impl Serialize for TimeSegmentDescriptor { + fn serialize(&self, serializer: S) -> Result + where + S: serde::Serializer, + { + let mut state = serializer.serialize_struct("TimeSegmentDescriptor", 9)?; + state.serialize_field("segment_id", &self.common.segment_id)?; + state.serialize_field("bytes_offset", &self.common.bytes_offset)?; + state.serialize_field("bytes_length", &self.common.bytes_length)?; + state.serialize_field("checksum", &self.common.checksum)?; + state.serialize_field("build_sequence", &self.common.build_sequence)?; + state.serialize_field("codec_version", &self.common.codec_version)?; + state.serialize_field("compression", &self.common.compression)?; + state.serialize_field("span", &self.common.span)?; + state.serialize_field("entry_count", &self.entry_count)?; + state.end() + } +} + +impl<'de> Deserialize<'de> for TimeSegmentDescriptor { + fn deserialize(deserializer: D) -> Result + where + D: serde::Deserializer<'de>, + { + #[derive(Deserialize)] + struct Repr { + segment_id: u64, + bytes_offset: u64, + bytes_length: u64, + checksum: [u8; 32], + #[serde(default)] + build_sequence: u64, + #[serde(default)] + codec_version: u16, + #[serde(default)] + compression: SegmentCompression, + #[serde(default)] + span: Option, + entry_count: u64, + } + + let repr = Repr::deserialize(deserializer)?; + let mut common = SegmentCommon::new( + repr.segment_id, + repr.bytes_offset, + repr.bytes_length, + repr.checksum, + ); + common.build_sequence = repr.build_sequence; + common.codec_version = repr.codec_version; + common.compression = repr.compression; + common.span = repr.span; + Ok(Self { + common, + entry_count: repr.entry_count, + }) + } +} + +/// Always defined for backwards compatibility. +#[derive(Debug, Clone)] +pub struct TemporalSegmentDescriptor { + pub common: SegmentCommon, + pub entry_count: u64, + pub anchor_count: u64, + pub flags: u32, +} + +impl TemporalSegmentDescriptor { + #[must_use] + pub fn from_common( + common: SegmentCommon, + entry_count: u64, + anchor_count: u64, + flags: u32, + ) -> Self { + Self { + common, + entry_count, + anchor_count, + flags, + } + } +} + +impl Serialize for TemporalSegmentDescriptor { + fn serialize(&self, serializer: S) -> Result + where + S: serde::Serializer, + { + let mut state = serializer.serialize_struct("TemporalSegmentDescriptor", 11)?; + state.serialize_field("segment_id", &self.common.segment_id)?; + state.serialize_field("bytes_offset", &self.common.bytes_offset)?; + state.serialize_field("bytes_length", &self.common.bytes_length)?; + state.serialize_field("checksum", &self.common.checksum)?; + state.serialize_field("build_sequence", &self.common.build_sequence)?; + state.serialize_field("codec_version", &self.common.codec_version)?; + state.serialize_field("compression", &self.common.compression)?; + state.serialize_field("span", &self.common.span)?; + state.serialize_field("entry_count", &self.entry_count)?; + state.serialize_field("anchor_count", &self.anchor_count)?; + state.serialize_field("flags", &self.flags)?; + state.end() + } +} + +impl<'de> Deserialize<'de> for TemporalSegmentDescriptor { + fn deserialize(deserializer: D) -> Result + where + D: serde::Deserializer<'de>, + { + #[derive(Deserialize)] + struct Repr { + segment_id: u64, + bytes_offset: u64, + bytes_length: u64, + checksum: [u8; 32], + #[serde(default)] + build_sequence: u64, + #[serde(default)] + codec_version: u16, + #[serde(default)] + compression: SegmentCompression, + #[serde(default)] + span: Option, + entry_count: u64, + anchor_count: u64, + #[serde(default)] + flags: u32, + } + + let repr = Repr::deserialize(deserializer)?; + let mut common = SegmentCommon::new( + repr.segment_id, + repr.bytes_offset, + repr.bytes_length, + repr.checksum, + ); + common.build_sequence = repr.build_sequence; + common.codec_version = repr.codec_version; + common.compression = repr.compression; + common.span = repr.span; + Ok(Self { + common, + entry_count: repr.entry_count, + anchor_count: repr.anchor_count, + flags: repr.flags, + }) + } +} + +/// Manifest entry describing an embedded Tantivy (lexical) segment file. +#[derive(Debug, Clone)] +pub struct TantivySegmentDescriptor { + pub common: SegmentCommon, + pub path: String, +} + +impl TantivySegmentDescriptor { + #[must_use] + pub fn from_common(common: SegmentCommon, path: String) -> Self { + Self { common, path } + } +} + +impl Serialize for TantivySegmentDescriptor { + fn serialize(&self, serializer: S) -> Result + where + S: serde::Serializer, + { + let mut state = serializer.serialize_struct("TantivySegmentDescriptor", 9)?; + state.serialize_field("segment_id", &self.common.segment_id)?; + state.serialize_field("bytes_offset", &self.common.bytes_offset)?; + state.serialize_field("bytes_length", &self.common.bytes_length)?; + state.serialize_field("checksum", &self.common.checksum)?; + state.serialize_field("build_sequence", &self.common.build_sequence)?; + state.serialize_field("codec_version", &self.common.codec_version)?; + state.serialize_field("compression", &self.common.compression)?; + state.serialize_field("span", &self.common.span)?; + state.serialize_field("path", &self.path)?; + state.end() + } +} + +impl<'de> Deserialize<'de> for TantivySegmentDescriptor { + fn deserialize(deserializer: D) -> Result + where + D: serde::Deserializer<'de>, + { + #[derive(Deserialize)] + struct Repr { + segment_id: u64, + bytes_offset: u64, + bytes_length: u64, + checksum: [u8; 32], + #[serde(default)] + build_sequence: u64, + #[serde(default)] + codec_version: u16, + #[serde(default)] + compression: SegmentCompression, + #[serde(default)] + span: Option, + path: String, + } + + let repr = Repr::deserialize(deserializer)?; + let mut common = SegmentCommon::new( + repr.segment_id, + repr.bytes_offset, + repr.bytes_length, + repr.checksum, + ); + common.build_sequence = repr.build_sequence; + common.codec_version = repr.codec_version; + common.compression = repr.compression; + common.span = repr.span; + Ok(Self { + common, + path: repr.path, + }) + } +} + +#[derive(Debug, Clone, Serialize, Deserialize, Default)] +pub struct IndexManifests { + pub lex: Option, + #[serde(default)] + pub lex_segments: Vec, + pub vec: Option, + /// CLIP visual embeddings index (separate from text vec index due to different dimensions) + #[serde(default)] + pub clip: Option, +} + +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct LexIndexManifest { + pub doc_count: u64, + #[serde(default)] + pub generation: u64, + pub bytes_offset: u64, + pub bytes_length: u64, + pub checksum: [u8; 32], +} + +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct LexSegmentManifest { + pub path: String, + pub bytes_offset: u64, + pub bytes_length: u64, + pub checksum: [u8; 32], +} + +#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Default)] +pub enum VectorCompression { + #[default] + None, // Full f32 vectors (1,536 bytes for 384 dims) + Pq96, // Product quantization with 96 subspaces (96 bytes) +} + +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct VecIndexManifest { + pub vector_count: u64, + pub dimension: u32, + pub bytes_offset: u64, + pub bytes_length: u64, + pub checksum: [u8; 32], + /// Compression mode for vector storage (default: None for backward compatibility) + #[serde(default)] + pub compression_mode: VectorCompression, + /// Model used to generate embeddings (e.g., "openai-text-embedding-3-small"). + /// Added in v2 to prevent model mismatch. + #[serde(default)] + pub model: Option, +} + +#[derive(Debug, Clone, Serialize, Deserialize, Default)] +pub enum SegmentCompression { + #[default] + None, + Zstd, + Lz4, +} + +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct SegmentMeta { + pub id: u64, + pub frame_range: (FrameId, FrameId), + pub primary_checksum: [u8; 32], + pub compression: SegmentCompression, + pub bytes_offset: u64, + pub bytes_length: u64, +} + +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct Header { + pub magic: [u8; 4], + pub version: u16, + pub footer_offset: u64, + pub wal_offset: u64, + pub wal_size: u64, + pub wal_checkpoint_pos: u64, + pub wal_sequence: u64, + pub toc_checksum: [u8; 32], +} + +#[derive(Serialize, Deserialize, Debug, Clone)] +pub struct Toc { + pub toc_version: u64, + #[serde(deserialize_with = "deserialize_toc_segments")] + pub segments: Vec, + #[serde(deserialize_with = "deserialize_toc_frames")] + pub frames: Vec, + pub indexes: IndexManifests, + pub time_index: Option, + /// Always present for backwards compatibility, even if feature is disabled. + #[serde(default)] + pub temporal_track: Option, + /// Structured memory cards track (facts, preferences, events, etc.). + #[serde(default)] + pub memories_track: Option, + /// Logic-Mesh graph track (entities and relationships for graph traversal). + #[serde(default)] + pub logic_mesh: Option, + /// Sketch track for fast candidate generation (`SimHash` + term filters). + #[serde(default)] + pub sketch_track: Option, + #[serde(default)] + pub segment_catalog: SegmentCatalog, + pub ticket_ref: TicketRef, + /// Optional memory binding to dashboard + #[serde(default)] + pub memory_binding: Option, + /// Optional replay manifest for time-travel debugging sessions + /// Always present in struct for backward compatibility - feature controls functionality + #[serde(default)] + pub replay_manifest: Option, + /// Enrichment queue for progressive ingestion. + /// Tracks frames needing background Phase 2 work (full extraction + embeddings). + #[serde(default)] + pub enrichment_queue: EnrichmentQueueManifest, + pub merkle_root: [u8; 32], + pub toc_checksum: [u8; 32], +} + +#[derive(Serialize, Deserialize, Debug, Clone)] +pub struct TimeIndexManifest { + pub bytes_offset: u64, + pub bytes_length: u64, + pub entry_count: u64, + pub checksum: [u8; 32], +} + +/// Always defined for backwards compatibility. +#[derive(Serialize, Deserialize, Debug, Clone)] +pub struct TemporalTrackManifest { + pub bytes_offset: u64, + pub bytes_length: u64, + pub entry_count: u64, + pub anchor_count: u64, + pub checksum: [u8; 32], + #[serde(default)] + pub flags: u32, +} + +/// Manifest for the memories track (structured memory cards). +#[derive(Serialize, Deserialize, Debug, Clone)] +pub struct MemoriesTrackManifest { + /// Offset to the compressed memories track data in the file. + pub bytes_offset: u64, + /// Length of the compressed memories track data. + pub bytes_length: u64, + /// Number of memory cards in the track. + pub card_count: u64, + /// Number of unique entities in the track. + pub entity_count: u64, + /// BLAKE3 checksum of the uncompressed data. + pub checksum: [u8; 32], +} + +/// Manifest for the Logic-Mesh graph track (entities and relationships). +#[derive(Serialize, Deserialize, Debug, Clone)] +pub struct LogicMeshManifest { + /// Offset to the compressed Logic-Mesh data in the file. + pub bytes_offset: u64, + /// Length of the compressed Logic-Mesh data. + pub bytes_length: u64, + /// Number of entity nodes in the mesh. + pub node_count: u64, + /// Number of relationship edges in the mesh. + pub edge_count: u64, + /// BLAKE3 checksum of the uncompressed data. + pub checksum: [u8; 32], +} + +/// Manifest for the Sketch Track (fast candidate generation). +#[derive(Serialize, Deserialize, Debug, Clone)] +pub struct SketchTrackManifest { + /// Offset to the sketch track data in the file. + pub bytes_offset: u64, + /// Length of the sketch track data. + pub bytes_length: u64, + /// Number of sketch entries (one per frame). + pub entry_count: u64, + /// Entry size in bytes (32/64/96 for Small/Medium/Large variants). + pub entry_size: u16, + /// Feature flags. + pub flags: u32, + /// BLAKE3 checksum of the track data. + pub checksum: [u8; 32], +} + +/// Manifest for the enrichment queue (progressive ingestion). +/// +/// Tracks frames that need background enrichment (Phase 2: full extraction + embeddings). +/// Persisted in TOC so enrichment can resume after crash/restart. +#[derive(Serialize, Deserialize, Debug, Clone, Default)] +pub struct EnrichmentQueueManifest { + /// Frame IDs pending enrichment, with their progress. + pub tasks: Vec, + /// Timestamp of last queue modification. + pub updated_at: u64, +} + +impl EnrichmentQueueManifest { + /// Create a new empty enrichment queue. + #[must_use] + pub fn new() -> Self { + Self { + tasks: Vec::new(), + updated_at: 0, + } + } + + /// Add a frame to the enrichment queue. + pub fn push(&mut self, frame_id: super::common::FrameId) { + use std::time::{SystemTime, UNIX_EPOCH}; + let now = SystemTime::now() + .duration_since(UNIX_EPOCH) + .map(|d| d.as_secs()) + .unwrap_or(0); + + self.tasks.push(super::common::EnrichmentTask { + frame_id, + created_at: now, + chunks_done: 0, + chunks_total: 0, + }); + self.updated_at = now; + } + + /// Remove a frame from the enrichment queue (after completion). + pub fn remove(&mut self, frame_id: super::common::FrameId) { + self.tasks.retain(|t| t.frame_id != frame_id); + use std::time::{SystemTime, UNIX_EPOCH}; + self.updated_at = SystemTime::now() + .duration_since(UNIX_EPOCH) + .map(|d| d.as_secs()) + .unwrap_or(0); + } + + /// Update checkpoint for a frame's embedding progress. + pub fn update_checkpoint( + &mut self, + frame_id: super::common::FrameId, + chunks_done: u32, + chunks_total: u32, + ) { + if let Some(task) = self.tasks.iter_mut().find(|t| t.frame_id == frame_id) { + task.chunks_done = chunks_done; + task.chunks_total = chunks_total; + } + } + + /// Check if any enrichment work is pending. + #[must_use] + pub fn is_empty(&self) -> bool { + self.tasks.is_empty() + } + + /// Get count of pending tasks. + #[must_use] + pub fn len(&self) -> usize { + self.tasks.len() + } +} diff --git a/src/types/memories_track.rs b/src/types/memories_track.rs new file mode 100644 index 0000000..b2c3398 --- /dev/null +++ b/src/types/memories_track.rs @@ -0,0 +1,840 @@ +//! Memories track for storing structured memory cards within MV2 files. +//! +//! The memories track is a specialized track within an MV2 file that stores +//! extracted memory cards along with indices for fast lookup and enrichment +//! tracking metadata. + +use std::collections::HashMap; + +use serde::{Deserialize, Serialize}; + +use crate::error::{MemvidError, Result}; +use crate::types::FrameId; +use crate::types::memory_card::{MemoryCard, MemoryCardId, MemoryKind, Polarity, VersionRelation}; + +/// Magic bytes identifying the memories track. +pub const MEMORIES_TRACK_MAGIC: &[u8; 4] = b"MVMC"; + +/// Current version of the memories track format. +pub const MEMORIES_TRACK_VERSION: u16 = 1; + +/// Slot key combining entity and slot name. +fn slot_key(entity: &str, slot: &str) -> String { + format!("{}:{}", entity.to_lowercase(), slot.to_lowercase()) +} + +/// Parse a slot key back to entity and slot. +fn parse_slot_key(key: &str) -> Option<(&str, &str)> { + key.split_once(':') +} + +/// Index for fast slot-based lookups. +#[derive(Debug, Default, Clone, Serialize, Deserialize)] +pub struct SlotIndex { + /// Maps "entity:slot" -> list of card IDs (most recent first). + entries: HashMap>, +} + +impl SlotIndex { + /// Create a new empty slot index. + #[must_use] + pub fn new() -> Self { + Self::default() + } + + /// Insert a card into the index. + pub fn insert(&mut self, card: &MemoryCard) { + let key = slot_key(&card.entity, &card.slot); + self.entries.entry(key).or_default().insert(0, card.id); + } + + /// Get card IDs for a given entity and slot (case-insensitive). + #[must_use] + pub fn get(&self, entity: &str, slot: &str) -> Option<&[MemoryCardId]> { + let key = slot_key(entity, slot); // Already lowercased + // Try exact match first (new files with lowercase keys) + if let Some(ids) = self.entries.get(&key) { + return Some(ids.as_slice()); + } + // Fall back to case-insensitive search (backwards compatibility) + self.entries + .iter() + .find(|(k, _)| k.to_lowercase() == key) + .map(|(_, ids)| ids.as_slice()) + } + + /// Get all card IDs for a given entity (case-insensitive). + #[must_use] + pub fn get_by_entity(&self, entity: &str) -> Vec { + let prefix = format!("{}:", entity.to_lowercase()); + self.entries + .iter() + .filter(|(k, _)| k.to_lowercase().starts_with(&prefix)) + .flat_map(|(_, ids)| ids.iter().copied()) + .collect() + } + + /// Get all unique entities in the index. + #[must_use] + pub fn entities(&self) -> Vec { + let mut entities: Vec<_> = self + .entries + .keys() + .filter_map(|k| parse_slot_key(k).map(|(e, _)| e.to_string())) + .collect(); + entities.sort(); + entities.dedup(); + entities + } + + /// Get all unique slots for an entity. + #[must_use] + pub fn slots_for_entity(&self, entity: &str) -> Vec { + let prefix = format!("{}:", entity.to_lowercase()); + let mut slots: Vec<_> = self + .entries + .keys() + .filter(|k| k.starts_with(&prefix)) + .filter_map(|k| parse_slot_key(k).map(|(_, s)| s.to_string())) + .collect(); + slots.sort(); + slots.dedup(); + slots + } + + /// Clear the index. + pub fn clear(&mut self) { + self.entries.clear(); + } + + /// Get total number of card references. + #[must_use] + pub fn len(&self) -> usize { + self.entries.values().map(Vec::len).sum() + } + + /// Check if the index is empty. + #[must_use] + pub fn is_empty(&self) -> bool { + self.entries.is_empty() + } +} + +/// Record of which engines have enriched a frame. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct EnrichmentRecord { + /// The frame that was enriched. + pub frame_id: FrameId, + /// Stamps for each engine that processed this frame. + pub stamps: Vec, +} + +/// Stamp recording when an engine processed a frame. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct EngineStamp { + /// Engine identifier (e.g., "rules-v1", "llm:phi-3.5-mini"). + pub engine_kind: String, + /// Engine version (e.g., "1.0.0"). + pub engine_version: String, + /// Unix timestamp when enrichment occurred. + pub enriched_at: i64, + /// Card IDs produced from this frame by this engine. + pub card_ids: Vec, +} + +/// Enrichment manifest tracking which frames have been processed. +#[derive(Debug, Default, Clone, Serialize, Deserialize)] +pub struct EnrichmentManifest { + /// Per-frame enrichment records. + frames: HashMap, + /// Total frames that have been enriched. + pub total_frames_enriched: usize, + /// Total cards created across all enrichments. + pub total_cards_created: usize, + /// Timestamp of last enrichment run. + pub last_enrichment: Option, +} + +impl EnrichmentManifest { + /// Create a new empty manifest. + #[must_use] + pub fn new() -> Self { + Self::default() + } + + /// Check if a frame needs enrichment by a specific engine version. + #[must_use] + pub fn needs_enrichment( + &self, + frame_id: FrameId, + engine_kind: &str, + engine_version: &str, + ) -> bool { + match self.frames.get(&frame_id) { + None => true, // Never enriched + Some(record) => { + // Check if this specific engine+version has run + !record + .stamps + .iter() + .any(|s| s.engine_kind == engine_kind && s.engine_version == engine_version) + } + } + } + + /// Get frames that need enrichment by a specific engine. + pub fn frames_needing_enrichment( + &self, + all_frame_ids: I, + engine_kind: &str, + engine_version: &str, + ) -> Vec + where + I: Iterator, + { + all_frame_ids + .filter(|id| self.needs_enrichment(*id, engine_kind, engine_version)) + .collect() + } + + /// Record that a frame was enriched. + pub fn record_enrichment( + &mut self, + frame_id: FrameId, + engine_kind: &str, + engine_version: &str, + card_ids: Vec, + ) { + let stamp = EngineStamp { + engine_kind: engine_kind.to_string(), + engine_version: engine_version.to_string(), + enriched_at: std::time::SystemTime::now() + .duration_since(std::time::UNIX_EPOCH) + .map(|d| d.as_secs() as i64) + .unwrap_or(0), + card_ids: card_ids.clone(), + }; + + let record = self.frames.entry(frame_id).or_insert_with(|| { + self.total_frames_enriched += 1; + EnrichmentRecord { + frame_id, + stamps: Vec::new(), + } + }); + + self.total_cards_created += card_ids.len(); + self.last_enrichment = Some(stamp.enriched_at); + record.stamps.push(stamp); + } + + /// Get the enrichment record for a frame. + #[must_use] + pub fn get_record(&self, frame_id: FrameId) -> Option<&EnrichmentRecord> { + self.frames.get(&frame_id) + } + + /// Get all enriched frame IDs. + #[must_use] + pub fn enriched_frames(&self) -> Vec { + self.frames.keys().copied().collect() + } + + /// Clear all enrichment records. + pub fn clear(&mut self) { + self.frames.clear(); + self.total_frames_enriched = 0; + self.total_cards_created = 0; + self.last_enrichment = None; + } +} + +/// The memories track stored within an MV2 file. +/// +/// This track stores all extracted memory cards along with indices for +/// fast lookup and metadata for tracking enrichment progress. +#[derive(Debug, Default, Clone, Serialize, Deserialize)] +pub struct MemoriesTrack { + /// All memory cards. + cards: Vec, + /// Next card ID to assign. + next_id: MemoryCardId, + /// Fast lookup by (entity, slot). + slot_index: SlotIndex, + /// Enrichment tracking. + enrichment_manifest: EnrichmentManifest, +} + +impl MemoriesTrack { + /// Create a new empty memories track. + #[must_use] + pub fn new() -> Self { + Self::default() + } + + /// Add a new memory card, returns the assigned ID. + pub fn add_card(&mut self, mut card: MemoryCard) -> MemoryCardId { + let id = self.next_id; + self.next_id += 1; + card.id = id; + + // Set version key if not provided + if card.version_key.is_none() { + card.version_key = Some(card.default_version_key()); + } + + self.slot_index.insert(&card); + self.cards.push(card); + id + } + + /// Add multiple cards at once. + pub fn add_cards(&mut self, cards: Vec) -> Vec { + cards.into_iter().map(|c| self.add_card(c)).collect() + } + + /// Get a card by ID. + #[must_use] + pub fn get_card(&self, id: MemoryCardId) -> Option<&MemoryCard> { + self.cards.iter().find(|c| c.id == id) + } + + /// Get all cards. + #[must_use] + pub fn cards(&self) -> &[MemoryCard] { + &self.cards + } + + /// Get total number of cards. + #[must_use] + pub fn card_count(&self) -> usize { + self.cards.len() + } + + /// Access the enrichment manifest. + #[must_use] + pub fn enrichment_manifest(&self) -> &EnrichmentManifest { + &self.enrichment_manifest + } + + /// Access the enrichment manifest mutably. + pub fn enrichment_manifest_mut(&mut self) -> &mut EnrichmentManifest { + &mut self.enrichment_manifest + } + + /// Record that a frame was enriched by an engine. + pub fn record_enrichment( + &mut self, + frame_id: FrameId, + engine_kind: &str, + engine_version: &str, + card_ids: Vec, + ) { + self.enrichment_manifest + .record_enrichment(frame_id, engine_kind, engine_version, card_ids); + } + + /// Check if a frame has been enriched by a specific engine version. + #[must_use] + pub fn is_enriched_by( + &self, + frame_id: FrameId, + engine_kind: &str, + engine_version: &str, + ) -> bool { + !self + .enrichment_manifest + .needs_enrichment(frame_id, engine_kind, engine_version) + } + + /// Get all cards for a given entity and slot. + #[must_use] + pub fn get_cards(&self, entity: &str, slot: &str) -> Vec<&MemoryCard> { + self.slot_index + .get(entity, slot) + .map(|ids| { + ids.iter() + .filter_map(|id| self.cards.iter().find(|c| c.id == *id)) + .collect() + }) + .unwrap_or_default() + } + + /// Get the current (most recent, non-retracted) value for an entity:slot. + #[must_use] + pub fn get_current(&self, entity: &str, slot: &str) -> Option<&MemoryCard> { + let mut cards = self.get_cards(entity, slot); + + // Sort by effective timestamp descending + cards.sort_by(|a, b| { + let a_time = a.effective_timestamp(); + let b_time = b.effective_timestamp(); + b_time.cmp(&a_time) + }); + + // Find first non-retracted card + cards.into_iter().find(|c| !c.is_retracted()) + } + + /// Get value at a specific point in time. + #[must_use] + pub fn get_at_time(&self, entity: &str, slot: &str, timestamp: i64) -> Option<&MemoryCard> { + let mut cards: Vec<_> = self + .get_cards(entity, slot) + .into_iter() + .filter(|c| c.effective_timestamp() <= timestamp) + .collect(); + + cards.sort_by(|a, b| { + let a_time = a.effective_timestamp(); + let b_time = b.effective_timestamp(); + b_time.cmp(&a_time) + }); + + cards.into_iter().find(|c| !c.is_retracted()) + } + + /// Get all cards for an entity. + #[must_use] + pub fn get_entity_cards(&self, entity: &str) -> Vec<&MemoryCard> { + self.slot_index + .get_by_entity(entity) + .iter() + .filter_map(|id| self.cards.iter().find(|c| c.id == *id)) + .collect() + } + + /// Aggregate all values for a slot (for multi-session scenarios). + #[must_use] + pub fn aggregate_slot(&self, entity: &str, slot: &str) -> Vec { + let cards = self.get_cards(entity, slot); + let mut values: Vec = Vec::new(); + + for card in cards { + match card.version_relation { + VersionRelation::Extends => { + if !values.contains(&card.value) { + values.push(card.value.clone()); + } + } + VersionRelation::Retracts => { + values.retain(|v| v != &card.value); + } + VersionRelation::Sets | VersionRelation::Updates => { + if !values.contains(&card.value) { + values.push(card.value.clone()); + } + } + } + } + + values + } + + /// Count occurrences (for "how many times did I mention X?" questions). + #[must_use] + pub fn count_occurrences(&self, entity: &str, slot: &str, value_filter: Option<&str>) -> usize { + self.get_cards(entity, slot) + .iter() + .filter(|c| { + if let Some(v) = value_filter { + c.value.to_lowercase().contains(&v.to_lowercase()) + } else { + true + } + }) + .count() + } + + /// Get timeline of events for an entity. + #[must_use] + pub fn get_timeline(&self, entity: &str) -> Vec<&MemoryCard> { + let mut cards: Vec<_> = self + .get_entity_cards(entity) + .into_iter() + .filter(|c| c.kind == MemoryKind::Event) + .collect(); + + cards.sort_by_key(|c| c.effective_timestamp()); + cards + } + + /// Get all preferences for an entity. + #[must_use] + pub fn get_preferences(&self, entity: &str) -> Vec<&MemoryCard> { + self.get_entity_cards(entity) + .into_iter() + .filter(|c| c.kind == MemoryKind::Preference) + .collect() + } + + /// Get positive preferences for an entity. + #[must_use] + pub fn get_positive_preferences(&self, entity: &str) -> Vec<&MemoryCard> { + self.get_preferences(entity) + .into_iter() + .filter(|c| c.polarity == Some(Polarity::Positive)) + .collect() + } + + /// Get all unique entities. + #[must_use] + pub fn entities(&self) -> Vec { + self.slot_index.entities() + } + + /// Get all unique slots for an entity. + #[must_use] + pub fn slots_for_entity(&self, entity: &str) -> Vec { + self.slot_index.slots_for_entity(entity) + } + + /// Serialize the track for storage using JSON. + /// We use JSON for complex nested structures to ensure compatibility. + pub fn serialize(&self) -> Result> { + let mut buf = Vec::new(); + buf.extend_from_slice(MEMORIES_TRACK_MAGIC); + buf.extend_from_slice(&MEMORIES_TRACK_VERSION.to_le_bytes()); + + let json_data = serde_json::to_vec(self).map_err(|e| MemvidError::InvalidHeader { + reason: format!("failed to serialize memories track: {e}").into(), + })?; + + // Compress the JSON data + let compressed = + zstd::encode_all(json_data.as_slice(), 3).map_err(|e| MemvidError::InvalidHeader { + reason: format!("failed to compress memories track: {e}").into(), + })?; + + buf.extend_from_slice(&(compressed.len() as u64).to_le_bytes()); + buf.extend(compressed); + + Ok(buf) + } + + /// Deserialize from storage. + pub fn deserialize(data: &[u8]) -> Result { + if data.len() < 14 { + return Err(MemvidError::InvalidHeader { + reason: "memories track too short".into(), + }); + } + + if &data[0..4] != MEMORIES_TRACK_MAGIC { + return Err(MemvidError::InvalidHeader { + reason: "invalid memories track magic".into(), + }); + } + + let version = u16::from_le_bytes([data[4], data[5]]); + if version != MEMORIES_TRACK_VERSION { + return Err(MemvidError::InvalidHeader { + reason: format!("unsupported memories version: {version}").into(), + }); + } + + let len = usize::try_from(u64::from_le_bytes([ + data[6], data[7], data[8], data[9], data[10], data[11], data[12], + data[13], + // Safe: checked on next line that data.len() >= 14 + len, so len fits in available memory + ])) + .unwrap_or(0); + if data.len() < 14 + len { + return Err(MemvidError::InvalidHeader { + reason: "memories track data truncated".into(), + }); + } + + // Decompress the data + let decompressed = + zstd::decode_all(&data[14..14 + len]).map_err(|e| MemvidError::InvalidHeader { + reason: format!("failed to decompress memories track: {e}").into(), + })?; + + let track: MemoriesTrack = + serde_json::from_slice(&decompressed).map_err(|e| MemvidError::InvalidHeader { + reason: format!("failed to deserialize memories track: {e}").into(), + })?; + + Ok(track) + } + + /// Clear all cards and reset the track. + pub fn clear(&mut self) { + self.cards.clear(); + self.next_id = 0; + self.slot_index.clear(); + self.enrichment_manifest.clear(); + } +} + +/// Statistics about the memories track. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct MemoriesStats { + /// Total number of cards. + pub card_count: usize, + /// Number of unique entities. + pub entity_count: usize, + /// Number of unique (entity, slot) pairs. + pub slot_count: usize, + /// Cards by kind. + pub cards_by_kind: HashMap, + /// Number of enriched frames. + pub enriched_frames: usize, + /// Last enrichment timestamp. + pub last_enrichment: Option, +} + +impl MemoriesTrack { + /// Get statistics about the track. + #[must_use] + pub fn stats(&self) -> MemoriesStats { + let mut cards_by_kind: HashMap = HashMap::new(); + for card in &self.cards { + *cards_by_kind + .entry(card.kind.as_str().to_string()) + .or_default() += 1; + } + + MemoriesStats { + card_count: self.cards.len(), + entity_count: self.entities().len(), + slot_count: self.slot_index.len(), + cards_by_kind, + enriched_frames: self.enrichment_manifest.total_frames_enriched, + last_enrichment: self.enrichment_manifest.last_enrichment, + } + } +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::types::memory_card::MemoryCardBuilder; + + #[test] + fn test_add_and_retrieve_card() { + let mut track = MemoriesTrack::new(); + + let card = MemoryCardBuilder::new() + .fact() + .entity("user") + .slot("employer") + .value("Anthropic") + .source(1, None) + .engine("rules-v1", "1.0.0") + .build(0) + .unwrap(); + + let id = track.add_card(card); + assert_eq!(id, 0); + + let retrieved = track.get_card(id).unwrap(); + assert_eq!(retrieved.value, "Anthropic"); + } + + #[test] + fn test_get_current() { + let mut track = MemoriesTrack::new(); + + // Add old value + let old_card = MemoryCardBuilder::new() + .fact() + .entity("user") + .slot("location") + .value("New York") + .document_date(1000) + .source(1, None) + .engine("rules-v1", "1.0.0") + .build(0) + .unwrap(); + track.add_card(old_card); + + // Add new value + let new_card = MemoryCardBuilder::new() + .fact() + .entity("user") + .slot("location") + .value("San Francisco") + .document_date(2000) + .source(2, None) + .engine("rules-v1", "1.0.0") + .updates() + .build(0) + .unwrap(); + track.add_card(new_card); + + let current = track.get_current("user", "location").unwrap(); + assert_eq!(current.value, "San Francisco"); + } + + #[test] + fn test_get_at_time() { + let mut track = MemoriesTrack::new(); + + let card1 = MemoryCardBuilder::new() + .fact() + .entity("user") + .slot("location") + .value("New York") + .document_date(1000) + .source(1, None) + .engine("rules-v1", "1.0.0") + .build(0) + .unwrap(); + track.add_card(card1); + + let card2 = MemoryCardBuilder::new() + .fact() + .entity("user") + .slot("location") + .value("San Francisco") + .document_date(2000) + .source(2, None) + .engine("rules-v1", "1.0.0") + .updates() + .build(0) + .unwrap(); + track.add_card(card2); + + // Query at time 1500 should return New York + let at_1500 = track.get_at_time("user", "location", 1500).unwrap(); + assert_eq!(at_1500.value, "New York"); + + // Query at time 2500 should return San Francisco + let at_2500 = track.get_at_time("user", "location", 2500).unwrap(); + assert_eq!(at_2500.value, "San Francisco"); + } + + #[test] + fn test_enrichment_tracking() { + let mut track = MemoriesTrack::new(); + + // Frame 1 is not enriched + assert!( + track + .enrichment_manifest() + .needs_enrichment(1, "rules-v1", "1.0.0") + ); + + // Enrich frame 1 + track.record_enrichment(1, "rules-v1", "1.0.0", vec![0, 1]); + + // Frame 1 is now enriched by rules-v1 + assert!( + !track + .enrichment_manifest() + .needs_enrichment(1, "rules-v1", "1.0.0") + ); + + // But not by llm + assert!( + track + .enrichment_manifest() + .needs_enrichment(1, "llm:phi-3.5-mini", "1.0.0") + ); + } + + #[test] + fn test_serialize_deserialize() { + let mut track = MemoriesTrack::new(); + + let card = MemoryCardBuilder::new() + .fact() + .entity("user") + .slot("name") + .value("Alice") + .source(1, None) + .engine("rules-v1", "1.0.0") + .build(0) + .unwrap(); + track.add_card(card); + + let serialized = track.serialize().unwrap(); + let deserialized = MemoriesTrack::deserialize(&serialized).unwrap(); + + assert_eq!(deserialized.card_count(), 1); + let card = deserialized.get_card(0).unwrap(); + assert_eq!(card.value, "Alice"); + } + + #[test] + fn test_aggregate_slot() { + let mut track = MemoriesTrack::new(); + + // Add multiple hobbies + for hobby in ["reading", "hiking", "coding"] { + let card = MemoryCardBuilder::new() + .preference() + .entity("user") + .slot("hobby") + .value(hobby) + .extends() + .positive() + .source(1, None) + .engine("rules-v1", "1.0.0") + .build(0) + .unwrap(); + track.add_card(card); + } + + let hobbies = track.aggregate_slot("user", "hobby"); + assert_eq!(hobbies.len(), 3); + assert!(hobbies.contains(&"reading".to_string())); + assert!(hobbies.contains(&"hiking".to_string())); + assert!(hobbies.contains(&"coding".to_string())); + } + + #[test] + fn test_count_occurrences() { + let mut track = MemoriesTrack::new(); + + // Add mentions of gym + for i in 0..5 { + let card = MemoryCardBuilder::new() + .event() + .entity("user") + .slot("activity") + .value("went to the gym") + .source(i, None) + .engine("rules-v1", "1.0.0") + .build(0) + .unwrap(); + track.add_card(card); + } + + assert_eq!(track.count_occurrences("user", "activity", Some("gym")), 5); + assert_eq!(track.count_occurrences("user", "activity", Some("pool")), 0); + } + + #[test] + fn test_timeline() { + let mut track = MemoriesTrack::new(); + + let events = [ + ("started job", 1000), + ("moved to SF", 2000), + ("got promoted", 3000), + ]; + + for (event, ts) in events { + let card = MemoryCardBuilder::new() + .event() + .entity("user") + .slot("life_event") + .value(event) + .event_date(ts) + .source(1, None) + .engine("rules-v1", "1.0.0") + .build(0) + .unwrap(); + track.add_card(card); + } + + let timeline = track.get_timeline("user"); + assert_eq!(timeline.len(), 3); + assert_eq!(timeline[0].value, "started job"); + assert_eq!(timeline[1].value, "moved to SF"); + assert_eq!(timeline[2].value, "got promoted"); + } +} diff --git a/src/types/memory_card.rs b/src/types/memory_card.rs new file mode 100644 index 0000000..f8ce628 --- /dev/null +++ b/src/types/memory_card.rs @@ -0,0 +1,651 @@ +//! Memory card types for structured memory extraction and storage. +//! +//! Memory cards are atomic, structured representations of memories extracted +//! from conversation content. Unlike raw chunks which are text fragments, +//! cards are semantic units with identity, value, temporality, provenance, +//! and versioning information. + +use serde::{Deserialize, Serialize}; + +use crate::types::FrameId; + +/// Unique identifier for a memory card within an MV2 file. +pub type MemoryCardId = u64; + +/// The kind of memory being stored. +#[derive(Debug, Clone, Copy, Serialize, Deserialize, PartialEq, Eq, Hash)] +#[serde(rename_all = "snake_case")] +#[repr(u8)] +pub enum MemoryKind { + /// Factual information: "User works at Anthropic" + Fact = 0, + /// User preference: "User prefers dark mode" + Preference = 1, + /// Discrete event: "User moved to San Francisco on 2024-03-15" + Event = 2, + /// Background/profile information: "User is a software engineer" + Profile = 3, + /// Relationship between entities: "User's manager is Alice" + Relationship = 4, + /// Goal or intent: "User wants to learn Rust" + Goal = 5, + /// Other/custom kind + Other = 6, +} + +impl MemoryKind { + /// Returns the string representation of this kind. + #[must_use] + pub fn as_str(&self) -> &str { + match self { + Self::Fact => "fact", + Self::Preference => "preference", + Self::Event => "event", + Self::Profile => "profile", + Self::Relationship => "relationship", + Self::Goal => "goal", + Self::Other => "other", + } + } + + /// Parse a string into a `MemoryKind`. + #[must_use] + pub fn from_str(s: &str) -> Self { + match s.to_lowercase().as_str() { + "fact" => Self::Fact, + "preference" => Self::Preference, + "event" => Self::Event, + "profile" => Self::Profile, + "relationship" => Self::Relationship, + "goal" => Self::Goal, + _ => Self::Other, + } + } +} + +impl Default for MemoryKind { + fn default() -> Self { + Self::Fact + } +} + +/// How this card relates to prior versions of the same slot. +#[derive(Debug, Clone, Copy, Serialize, Deserialize, PartialEq, Eq, Default)] +#[serde(rename_all = "snake_case")] +#[repr(u8)] +pub enum VersionRelation { + /// First time this slot is being set. + #[default] + Sets = 0, + /// Replaces a previous value entirely. + Updates = 1, + /// Adds to existing value (e.g., list of hobbies). + Extends = 2, + /// Negates/removes a previous value. + Retracts = 3, +} + +impl VersionRelation { + /// Returns the string representation. + #[must_use] + pub fn as_str(&self) -> &str { + match self { + Self::Sets => "sets", + Self::Updates => "updates", + Self::Extends => "extends", + Self::Retracts => "retracts", + } + } + + /// Parse a string into a `VersionRelation`. + #[must_use] + pub fn from_str(s: &str) -> Self { + match s.to_lowercase().as_str() { + "updates" => Self::Updates, + "extends" => Self::Extends, + "retracts" => Self::Retracts, + _ => Self::Sets, + } + } +} + +/// Polarity for preferences and boolean facts. +#[derive(Debug, Clone, Copy, Serialize, Deserialize, PartialEq, Eq)] +#[serde(rename_all = "snake_case")] +#[repr(u8)] +pub enum Polarity { + /// "likes", "prefers", "wants" + Positive = 0, + /// "dislikes", "avoids", "doesn't want" + Negative = 1, + /// Factual, no sentiment + Neutral = 2, +} + +impl Polarity { + /// Returns the string representation. + #[must_use] + pub fn as_str(&self) -> &str { + match self { + Self::Positive => "positive", + Self::Negative => "negative", + Self::Neutral => "neutral", + } + } + + /// Parse a string into a Polarity. + #[must_use] + pub fn from_str(s: &str) -> Option { + match s.to_lowercase().as_str() { + "positive" => Some(Self::Positive), + "negative" => Some(Self::Negative), + "neutral" => Some(Self::Neutral), + _ => None, + } + } +} + +impl Default for Polarity { + fn default() -> Self { + Self::Neutral + } +} + +impl std::fmt::Display for Polarity { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + write!(f, "{}", self.as_str()) + } +} + +impl std::fmt::Display for MemoryKind { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + write!(f, "{}", self.as_str()) + } +} + +/// A structured memory unit extracted from conversation content. +/// +/// Memory cards represent atomic facts, preferences, events, or other +/// information extracted from raw text. They support: +/// - **Identity**: What entity/slot this card describes +/// - **Value**: The actual information +/// - **Temporality**: When this was true (event time) vs when recorded (document time) +/// - **Provenance**: Which frame/chunk it came from, which engine extracted it +/// - **Versioning**: How this card relates to prior knowledge +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct MemoryCard { + /// Unique identifier within this MV2 file. + pub id: MemoryCardId, + + /// What kind of memory this represents. + pub kind: MemoryKind, + + /// The entity this memory is about (e.g., "user", "user.team", "project.memvid"). + pub entity: String, + + /// The attribute/slot being described (e.g., "employer", "`favorite_food`", "location"). + pub slot: String, + + /// The actual value (always stored as string, can be JSON for complex values). + pub value: String, + + /// Sentiment/polarity for preferences. + #[serde(default, skip_serializing_if = "Option::is_none")] + pub polarity: Option, + + /// When the event/fact occurred (not when it was recorded). + /// For events: the event date. + /// For facts: when this became true (if known). + #[serde(default, skip_serializing_if = "Option::is_none")] + pub event_date: Option, + + /// When this information was recorded (from the source document/conversation). + #[serde(default, skip_serializing_if = "Option::is_none")] + pub document_date: Option, + + /// Versioning: key to group related cards (usually entity:slot). + #[serde(default, skip_serializing_if = "Option::is_none")] + pub version_key: Option, + + /// How this relates to prior versions. + #[serde(default)] + pub version_relation: VersionRelation, + + /// Reference to the source frame this was extracted from. + pub source_frame_id: FrameId, + + /// URI of the source (for provenance). + #[serde(default, skip_serializing_if = "Option::is_none")] + pub source_uri: Option, + + /// Character offset within source frame (start, end) for highlighting. + #[serde(default, skip_serializing_if = "Option::is_none")] + pub source_offset: Option<(usize, usize)>, + + /// Which engine produced this card. + pub engine: String, + + /// Version of the engine. + pub engine_version: String, + + /// Confidence score (0.0-1.0) if from probabilistic engine. + #[serde(default, skip_serializing_if = "Option::is_none")] + pub confidence: Option, + + /// When this card was created (Unix timestamp). + pub created_at: i64, +} + +impl MemoryCard { + /// Generate the default version key from entity and slot. + #[must_use] + pub fn default_version_key(&self) -> String { + format!("{}:{}", self.entity, self.slot) + } + + /// Check if this card supersedes another based on version relation and timestamps. + #[must_use] + pub fn supersedes(&self, other: &MemoryCard) -> bool { + // Must have same version key to supersede + let self_key = self + .version_key + .as_ref() + .map_or_else(|| self.default_version_key(), std::clone::Clone::clone); + let other_key = other + .version_key + .as_ref() + .map_or_else(|| other.default_version_key(), std::clone::Clone::clone); + + if self_key != other_key { + return false; + } + + match self.version_relation { + VersionRelation::Updates | VersionRelation::Retracts => { + // Compare by event_date if available, else document_date + let self_time = self.event_date.or(self.document_date).unwrap_or(0); + let other_time = other.event_date.or(other.document_date).unwrap_or(0); + self_time > other_time + } + VersionRelation::Sets | VersionRelation::Extends => false, + } + } + + /// Get the effective timestamp for temporal ordering. + #[must_use] + pub fn effective_timestamp(&self) -> i64 { + self.event_date + .or(self.document_date) + .unwrap_or(self.created_at) + } + + /// Check if this card is a retraction. + #[must_use] + pub fn is_retracted(&self) -> bool { + self.version_relation == VersionRelation::Retracts + } +} + +/// Builder for constructing `MemoryCards`. +#[derive(Debug, Default)] +pub struct MemoryCardBuilder { + kind: Option, + entity: Option, + slot: Option, + value: Option, + polarity: Option, + event_date: Option, + document_date: Option, + version_key: Option, + version_relation: VersionRelation, + source_frame_id: Option, + source_uri: Option, + source_offset: Option<(usize, usize)>, + engine: Option, + engine_version: Option, + confidence: Option, +} + +impl MemoryCardBuilder { + /// Create a new builder. + #[must_use] + pub fn new() -> Self { + Self::default() + } + + /// Set the memory kind. + #[must_use] + pub fn kind(mut self, kind: MemoryKind) -> Self { + self.kind = Some(kind); + self + } + + /// Set kind to Fact. + #[must_use] + pub fn fact(self) -> Self { + self.kind(MemoryKind::Fact) + } + + /// Set kind to Preference. + #[must_use] + pub fn preference(self) -> Self { + self.kind(MemoryKind::Preference) + } + + /// Set kind to Event. + #[must_use] + pub fn event(self) -> Self { + self.kind(MemoryKind::Event) + } + + /// Set kind to Profile. + #[must_use] + pub fn profile(self) -> Self { + self.kind(MemoryKind::Profile) + } + + /// Set kind to Relationship. + #[must_use] + pub fn relationship(self) -> Self { + self.kind(MemoryKind::Relationship) + } + + /// Set kind to Goal. + #[must_use] + pub fn goal(self) -> Self { + self.kind(MemoryKind::Goal) + } + + /// Set the entity. + #[must_use] + pub fn entity(mut self, entity: impl Into) -> Self { + self.entity = Some(entity.into()); + self + } + + /// Set the slot. + #[must_use] + pub fn slot(mut self, slot: impl Into) -> Self { + self.slot = Some(slot.into()); + self + } + + /// Set the value. + #[must_use] + pub fn value(mut self, value: impl Into) -> Self { + self.value = Some(value.into()); + self + } + + /// Set the polarity. + #[must_use] + pub fn polarity(mut self, polarity: Polarity) -> Self { + self.polarity = Some(polarity); + self + } + + /// Set polarity to Positive. + #[must_use] + pub fn positive(self) -> Self { + self.polarity(Polarity::Positive) + } + + /// Set polarity to Negative. + #[must_use] + pub fn negative(self) -> Self { + self.polarity(Polarity::Negative) + } + + /// Set the event date. + #[must_use] + pub fn event_date(mut self, ts: i64) -> Self { + self.event_date = Some(ts); + self + } + + /// Set the document date. + #[must_use] + pub fn document_date(mut self, ts: i64) -> Self { + self.document_date = Some(ts); + self + } + + /// Set the version key explicitly. + #[must_use] + pub fn version_key(mut self, key: impl Into) -> Self { + self.version_key = Some(key.into()); + self + } + + /// Set version relation to Updates. + #[must_use] + pub fn updates(mut self) -> Self { + self.version_relation = VersionRelation::Updates; + self + } + + /// Set version relation to Extends. + #[must_use] + pub fn extends(mut self) -> Self { + self.version_relation = VersionRelation::Extends; + self + } + + /// Set version relation to Retracts. + #[must_use] + pub fn retracts(mut self) -> Self { + self.version_relation = VersionRelation::Retracts; + self + } + + /// Set the source frame and optional URI. + #[must_use] + pub fn source(mut self, frame_id: FrameId, uri: Option) -> Self { + self.source_frame_id = Some(frame_id); + self.source_uri = uri; + self + } + + /// Set the source offset within the frame. + #[must_use] + pub fn source_offset(mut self, start: usize, end: usize) -> Self { + self.source_offset = Some((start, end)); + self + } + + /// Set the engine name and version. + #[must_use] + pub fn engine(mut self, name: impl Into, version: impl Into) -> Self { + self.engine = Some(name.into()); + self.engine_version = Some(version.into()); + self + } + + /// Set the confidence score. + #[must_use] + pub fn confidence(mut self, conf: f32) -> Self { + self.confidence = Some(conf.clamp(0.0, 1.0)); + self + } + + /// Build the `MemoryCard`. + /// + /// # Arguments + /// * `id` - The ID to assign (usually 0, will be reassigned on insert) + /// + /// # Errors + /// Returns an error if required fields are missing. + pub fn build(self, id: MemoryCardId) -> Result { + let kind = self + .kind + .ok_or(MemoryCardBuilderError::MissingField("kind"))?; + let entity = self + .entity + .ok_or(MemoryCardBuilderError::MissingField("entity"))?; + let slot = self + .slot + .ok_or(MemoryCardBuilderError::MissingField("slot"))?; + let value = self + .value + .ok_or(MemoryCardBuilderError::MissingField("value"))?; + let source_frame_id = self + .source_frame_id + .ok_or(MemoryCardBuilderError::MissingField("source_frame_id"))?; + let engine = self + .engine + .ok_or(MemoryCardBuilderError::MissingField("engine"))?; + let engine_version = self + .engine_version + .ok_or(MemoryCardBuilderError::MissingField("engine_version"))?; + + let created_at = std::time::SystemTime::now() + .duration_since(std::time::UNIX_EPOCH) + .map(|d| d.as_secs() as i64) + .unwrap_or(0); + + Ok(MemoryCard { + id, + kind, + entity, + slot, + value, + polarity: self.polarity, + event_date: self.event_date, + document_date: self.document_date, + version_key: self.version_key, + version_relation: self.version_relation, + source_frame_id, + source_uri: self.source_uri, + source_offset: self.source_offset, + engine, + engine_version, + confidence: self.confidence, + created_at, + }) + } +} + +/// Error type for `MemoryCardBuilder`. +#[derive(Debug, Clone)] +pub enum MemoryCardBuilderError { + /// A required field is missing. + MissingField(&'static str), +} + +impl std::fmt::Display for MemoryCardBuilderError { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + match self { + Self::MissingField(field) => write!(f, "missing required field: {field}"), + } + } +} + +impl std::error::Error for MemoryCardBuilderError {} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_memory_card_builder() { + let card = MemoryCardBuilder::new() + .fact() + .entity("user") + .slot("employer") + .value("Anthropic") + .source(42, Some("mv2://chat/session1".to_string())) + .engine("rules-v1", "1.0.0") + .build(1) + .unwrap(); + + assert_eq!(card.id, 1); + assert_eq!(card.kind, MemoryKind::Fact); + assert_eq!(card.entity, "user"); + assert_eq!(card.slot, "employer"); + assert_eq!(card.value, "Anthropic"); + assert_eq!(card.source_frame_id, 42); + assert_eq!(card.engine, "rules-v1"); + } + + #[test] + fn test_preference_with_polarity() { + let card = MemoryCardBuilder::new() + .preference() + .entity("user") + .slot("beverage") + .value("coffee") + .positive() + .source(1, None) + .engine("rules-v1", "1.0.0") + .build(1) + .unwrap(); + + assert_eq!(card.kind, MemoryKind::Preference); + assert_eq!(card.polarity, Some(Polarity::Positive)); + } + + #[test] + fn test_version_key_default() { + let card = MemoryCardBuilder::new() + .fact() + .entity("user") + .slot("location") + .value("San Francisco") + .source(1, None) + .engine("rules-v1", "1.0.0") + .build(1) + .unwrap(); + + assert_eq!(card.default_version_key(), "user:location"); + } + + #[test] + fn test_supersedes() { + let old_card = MemoryCardBuilder::new() + .fact() + .entity("user") + .slot("location") + .value("New York") + .document_date(1000) + .source(1, None) + .engine("rules-v1", "1.0.0") + .build(1) + .unwrap(); + + let mut new_card = MemoryCardBuilder::new() + .fact() + .entity("user") + .slot("location") + .value("San Francisco") + .document_date(2000) + .source(2, None) + .engine("rules-v1", "1.0.0") + .updates() + .build(2) + .unwrap(); + + assert!(new_card.supersedes(&old_card)); + + // Sets doesn't supersede + new_card.version_relation = VersionRelation::Sets; + assert!(!new_card.supersedes(&old_card)); + } + + #[test] + fn test_builder_missing_field() { + let result = MemoryCardBuilder::new() + .fact() + .entity("user") + // missing slot, value, source, engine + .build(1); + + assert!(result.is_err()); + } + + #[test] + fn test_memory_kind_from_str() { + assert_eq!(MemoryKind::from_str("fact"), MemoryKind::Fact); + assert_eq!(MemoryKind::from_str("PREFERENCE"), MemoryKind::Preference); + assert_eq!(MemoryKind::from_str("custom_type"), MemoryKind::Other); + } +} diff --git a/src/types/metadata.rs b/src/types/metadata.rs new file mode 100644 index 0000000..222d135 --- /dev/null +++ b/src/types/metadata.rs @@ -0,0 +1,134 @@ +//! Rich metadata structures describing document, audio, and textual attributes. + +use std::collections::BTreeMap; + +use serde::{Deserialize, Serialize}; + +#[derive(Debug, Clone, Serialize, Deserialize, Default, PartialEq, Eq)] +pub struct MediaManifest { + pub kind: String, + pub mime: String, + pub bytes: u64, + #[serde(default)] + pub filename: Option, + #[serde(default)] + pub duration_ms: Option, + #[serde(default)] + pub width: Option, + #[serde(default)] + pub height: Option, + #[serde(default)] + pub codec: Option, +} + +#[derive(Debug, Clone, Serialize, Deserialize, Default, PartialEq)] +pub struct DocMetadata { + #[serde(default)] + pub mime: Option, + #[serde(default)] + pub bytes: Option, + #[serde(default)] + pub hash: Option, + #[serde(default)] + pub width: Option, + #[serde(default)] + pub height: Option, + #[serde(default)] + pub colors: Option>, + #[serde(default)] + pub caption: Option, + #[serde(default)] + pub exif: Option, + #[serde(default)] + pub audio: Option, + #[serde(default)] + pub media: Option, +} + +impl DocMetadata { + #[must_use] + pub fn is_empty(&self) -> bool { + self.mime.is_none() + && self.bytes.is_none() + && self.hash.is_none() + && self.width.is_none() + && self.height.is_none() + && self.colors.as_ref().is_none_or(Vec::is_empty) + && self.caption.is_none() + && self.exif.is_none() + && self.audio.as_ref().is_none_or(DocAudioMetadata::is_empty) + && self.media.is_none() + } +} + +#[derive(Debug, Clone, Serialize, Deserialize, Default, PartialEq)] +pub struct DocAudioMetadata { + #[serde(default)] + pub duration_secs: Option, + #[serde(default)] + pub sample_rate_hz: Option, + #[serde(default)] + pub channels: Option, + #[serde(default)] + pub bitrate_kbps: Option, + #[serde(default)] + pub codec: Option, + #[serde(default)] + pub segments: Vec, + #[serde(default)] + pub tags: BTreeMap, +} + +impl DocAudioMetadata { + #[must_use] + pub fn is_empty(&self) -> bool { + self.duration_secs.is_none() + && self.sample_rate_hz.is_none() + && self.channels.is_none() + && self.bitrate_kbps.is_none() + && self.codec.is_none() + && self.segments.is_empty() + && self.tags.is_empty() + } +} + +#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)] +pub struct AudioSegmentMetadata { + pub start_seconds: f32, + pub end_seconds: f32, + #[serde(default)] + pub label: Option, +} + +#[derive(Debug, Clone, Serialize, Deserialize, Default, PartialEq, Eq)] +pub struct TextChunkRange { + pub start: usize, + pub end: usize, +} + +#[derive(Debug, Clone, Serialize, Deserialize, Default, PartialEq, Eq)] +pub struct TextChunkManifest { + pub chunk_chars: usize, + #[serde(default)] + pub chunks: Vec, +} + +#[derive(Debug, Clone, Serialize, Deserialize, Default, PartialEq)] +pub struct DocExifMetadata { + #[serde(default)] + pub make: Option, + #[serde(default)] + pub model: Option, + #[serde(default)] + pub lens: Option, + #[serde(default)] + pub datetime: Option, + #[serde(default)] + pub gps: Option, +} + +#[derive(Debug, Clone, Serialize, Deserialize, Default, PartialEq)] +pub struct DocGpsMetadata { + pub latitude: f64, + pub longitude: f64, +} diff --git a/src/types/mod.rs b/src/types/mod.rs new file mode 100644 index 0000000..8181283 --- /dev/null +++ b/src/types/mod.rs @@ -0,0 +1,131 @@ +//! Public types exposed by the `memvid-core` crate. + +pub mod acl; +pub mod adaptive; +pub mod ask; +pub mod audit; +pub mod binding; +pub mod common; +pub mod embedding; +pub mod embedding_identity; +pub mod frame; +pub mod graph_query; +pub mod logic_mesh; +pub mod manifest; +pub mod memories_track; +pub mod memory_card; +pub mod metadata; +pub mod options; +pub mod reranker; +pub mod schema; +pub mod search; +pub mod sketch_track; +pub mod structure; +#[cfg(feature = "temporal_track")] +pub mod temporal; +pub mod ticket; +pub mod verification; + +pub use ask::{ + AskCitation, AskContextFragment, AskContextFragmentKind, AskMode, AskRequest, AskResponse, + AskRetriever, AskStats, VecEmbedder, +}; +pub use audit::{AuditOptions, AuditReport, SourceSpan}; +pub use binding::{FileInfo, MemoryBinding}; +pub use common::{ + CanonicalEncoding, EnrichmentState, EnrichmentTask, FrameId, FrameRole, FrameStatus, + MemvidHandle, Open, Sealed, Tier, +}; +// AnchorSource always exported - not feature-gated to maintain binary compatibility +pub use frame::AnchorSource; +pub use frame::{Frame, Stats, TimelineEntry, TimelineQuery, TimelineQueryBuilder}; +// Serialized manifest types - always exported for binary compatibility +pub use manifest::TemporalSegmentDescriptor; +pub use manifest::TemporalTrackManifest; +pub use manifest::{ + EnrichmentQueueManifest, Header, IndexManifests, IndexSegmentRef, LexIndexManifest, + LexSegmentDescriptor, LexSegmentManifest, LogicMeshManifest, MemoriesTrackManifest, + SegmentCatalog, SegmentCommon, SegmentCompression, SegmentKind, SegmentMeta, SegmentSpan, + SegmentStats, SketchTrackManifest, TantivySegmentDescriptor, TimeIndexManifest, + TimeSegmentDescriptor, Toc, VecIndexManifest, VecSegmentDescriptor, VectorCompression, +}; +// Logic-Mesh types for entity-relationship graph traversal +pub use logic_mesh::{ + EdgeDirection, EntityKind, FollowResult, LOGIC_MESH_MAGIC, LOGIC_MESH_VERSION, LinkType, + LogicMesh, LogicMeshStats, MeshEdge, MeshNode, +}; +pub use metadata::{ + AudioSegmentMetadata, DocAudioMetadata, DocExifMetadata, DocGpsMetadata, DocMetadata, + MediaManifest, TextChunkManifest, TextChunkRange, +}; +pub use options::{PutManyOpts, PutOptions, PutOptionsBuilder, PutRequest}; +pub use search::{ + SearchEngineKind, SearchHit, SearchHitEntity, SearchHitMetadata, SearchParams, SearchRequest, + SearchResponse, +}; +#[cfg(feature = "temporal_track")] +pub use search::{SearchHitTemporal, SearchHitTemporalAnchor, SearchHitTemporalMention}; +#[cfg(feature = "temporal_track")] +pub use temporal::{ + TEMPORAL_TRACK_FLAG_HAS_ANCHORS, TEMPORAL_TRACK_FLAG_HAS_MENTIONS, TemporalAnchor, + TemporalCapabilities, TemporalFilter, TemporalMention, TemporalMentionFlags, + TemporalMentionKind, TemporalTrack, +}; +pub use ticket::{SignedTicket, Ticket, TicketRef}; +pub use verification::{ + DOCTOR_PLAN_VERSION, DoctorActionDetail, DoctorActionKind, DoctorActionPlan, + DoctorActionReport, DoctorActionStatus, DoctorFinding, DoctorFindingCode, DoctorMetrics, + DoctorOptions, DoctorPhaseDuration, DoctorPhaseKind, DoctorPhasePlan, DoctorPhaseReport, + DoctorPhaseStatus, DoctorPlan, DoctorReport, DoctorSeverity, DoctorStatus, VerificationCheck, + VerificationReport, VerificationStatus, +}; +// Memory card types for structured memory extraction +pub use memories_track::{ + EngineStamp, EnrichmentManifest, EnrichmentRecord, MEMORIES_TRACK_MAGIC, + MEMORIES_TRACK_VERSION, MemoriesStats, MemoriesTrack, SlotIndex, +}; +pub use memory_card::{ + MemoryCard, MemoryCardBuilder, MemoryCardBuilderError, MemoryCardId, MemoryKind, Polarity, + VersionRelation, +}; +// Embedding provider types for vector embedding generation +pub use embedding::{ + BatchEmbeddingResult, EmbeddingConfig, EmbeddingProvider, EmbeddingProviderKind, + EmbeddingResult, +}; +pub use embedding_identity::{ + EmbeddingIdentity, EmbeddingIdentityCount, EmbeddingIdentitySummary, + MEMVID_EMBEDDING_DIMENSION_KEY, MEMVID_EMBEDDING_MODEL_KEY, MEMVID_EMBEDDING_NORMALIZED_KEY, + MEMVID_EMBEDDING_PROVIDER_KEY, +}; +// Structure-aware chunking types for preserving tables and code blocks +pub use structure::{ + ChunkType, ChunkingOptions, ChunkingResult, CodeChunkingStrategy, DocumentElement, ElementData, + ElementType, StructuredCell, StructuredChunk, StructuredCodeBlock, StructuredDocument, + StructuredHeading, StructuredList, StructuredRow, StructuredTable, TableChunkingStrategy, +}; +// Adaptive retrieval types for dynamic result set sizing +pub use acl::{ + ACL_POLICY_VERSION_KEY, ACL_READ_GROUPS_KEY, ACL_READ_PRINCIPALS_KEY, ACL_READ_ROLES_KEY, + ACL_RESOURCE_ID_KEY, ACL_TENANT_ID_KEY, ACL_VISIBILITY_KEY, AclContext, AclEnforcementMode, +}; +pub use adaptive::{ + AdaptiveConfig, AdaptiveResult, AdaptiveStats, CutoffStrategy, EmbeddingQualityStats, + compute_embedding_quality, find_adaptive_cutoff, normalize_scores, +}; +// Graph-aware query types for hybrid retrieval +pub use graph_query::{ + GraphMatchResult, GraphPattern, HybridSearchHit, PatternTerm, QueryPlan, TriplePattern, +}; +// Schema types for predicate validation +pub use schema::{ + Cardinality, PredicateId, PredicateSchema, SchemaError, SchemaRegistry, ValueType, +}; +// Sketch track types for fast candidate generation +pub use sketch_track::{ + DEFAULT_HAMMING_THRESHOLD, QuerySketch, SKETCH_TRACK_MAGIC, SKETCH_TRACK_VERSION, SketchEntry, + SketchFlags, SketchTrack, SketchTrackHeader, SketchTrackStats, SketchVariant, + build_term_filter, compute_simhash, compute_token_weights, generate_sketch, hash_token, + hash_token_u32, read_sketch_track, term_filter_maybe_contains, tokenize_for_sketch, + write_sketch_track, +}; diff --git a/src/types/options.rs b/src/types/options.rs new file mode 100644 index 0000000..98780a7 --- /dev/null +++ b/src/types/options.rs @@ -0,0 +1,376 @@ +//! Builder-style options used when writing frames into a memory. + +use std::collections::BTreeMap; + +use serde::{Deserialize, Serialize}; +use serde_json::Value; + +use super::common::{FrameId, FrameRole}; +use super::metadata::DocMetadata; + +fn default_true() -> bool { + true +} + +/// Tunable options for writing frames into a memory. +/// Attach metadata, control embeddings, auto-tagging, and URI/title hints. Builders make it +/// easy to set only what you need. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct PutOptions { + pub timestamp: Option, + pub track: Option, + pub kind: Option, + pub uri: Option, + pub title: Option, + #[serde(default)] + pub metadata: Option, + #[serde(default)] + pub search_text: Option, + #[serde(default)] + pub tags: Vec, + #[serde(default)] + pub labels: Vec, + #[serde(default)] + pub extra_metadata: BTreeMap, + #[serde(default)] + pub enable_embedding: bool, + #[serde(default = "default_true")] + pub auto_tag: bool, + #[serde(default = "default_true")] + pub extract_dates: bool, + /// Extract triplets (Subject-Predicate-Object) from text and store as `MemoryCards`. + /// Enabled by default. Triplets enable O(1) entity lookups and graph queries. + #[serde(default = "default_true")] + pub extract_triplets: bool, + /// Parent frame ID for child frames (e.g., extracted images from a PDF) + #[serde(default)] + pub parent_id: Option, + /// Role of the frame (defaults to Document) + #[serde(default)] + pub role: FrameRole, + /// Don't store raw binary content, only extracted text + SHA256 hash. + /// Saves storage for documents where only searchable text is needed. + #[serde(default)] + pub no_raw: bool, + /// Original source file path (for --no-raw reference tracking). + #[serde(default)] + pub source_path: Option, + /// Skip ingestion if a frame with matching BLAKE3 hash already exists. + /// When enabled, returns the existing frame's sequence number instead of creating a duplicate. + #[serde(default)] + pub dedup: bool, + /// Enable instant indexing for immediate searchability (<1s). + /// When enabled, performs a soft Tantivy commit after WAL append. + /// Frame becomes searchable immediately but full enrichment happens in background. + /// Default: true for single-doc `put()`, false for `put_many()` batch. + #[serde(default = "default_true")] + pub instant_index: bool, + /// Time budget for text extraction in milliseconds. + /// When `instant_index` is enabled, extraction stops after this time. + /// 0 means no budget (extract everything). + /// Default: 350ms (optimized for sub-second total ingestion). + #[serde(default = "default_extraction_budget_ms")] + pub extraction_budget_ms: u64, +} + +fn default_extraction_budget_ms() -> u64 { + crate::extract_budgeted::DEFAULT_EXTRACTION_BUDGET_MS +} + +impl Default for PutOptions { + fn default() -> Self { + Self { + timestamp: None, + track: None, + kind: None, + uri: None, + title: None, + metadata: None, + search_text: None, + tags: Vec::new(), + labels: Vec::new(), + extra_metadata: BTreeMap::new(), + enable_embedding: false, + auto_tag: true, + extract_dates: true, + extract_triplets: true, + parent_id: None, + role: FrameRole::default(), + no_raw: false, + source_path: None, + dedup: false, + instant_index: true, // Instant searchability by default + extraction_budget_ms: default_extraction_budget_ms(), + } + } +} + +impl PutOptions { + /// Start a fluent builder for `PutOptions`. + #[must_use] + pub fn builder() -> PutOptionsBuilder { + PutOptionsBuilder::default() + } +} + +#[derive(Debug, Clone, Default)] +pub struct PutOptionsBuilder { + inner: PutOptions, +} + +impl PutOptionsBuilder { + #[must_use] + pub fn timestamp(mut self, timestamp: i64) -> Self { + self.inner.timestamp = Some(timestamp); + self + } + + pub fn tag, V: Into>(mut self, key: K, value: V) -> Self { + let key = key.into(); + let value = value.into(); + self.inner.extra_metadata.insert(key.clone(), value); + self.inner.tags.push(key); + self + } + + pub fn push_tag>(mut self, tag: S) -> Self { + self.inner.tags.push(tag.into()); + self + } + + pub fn label>(mut self, label: S) -> Self { + self.inner.labels.push(label.into()); + self + } + + pub fn metadata_entry>(mut self, key: S, value: Value) -> Self { + self.inner + .extra_metadata + .insert(key.into(), value.to_string()); + self + } + + #[must_use] + pub fn metadata(mut self, metadata: DocMetadata) -> Self { + self.inner.metadata = Some(metadata); + self + } + + pub fn track>(mut self, track: S) -> Self { + self.inner.track = Some(track.into()); + self + } + + pub fn kind>(mut self, kind: S) -> Self { + self.inner.kind = Some(kind.into()); + self + } + + pub fn uri>(mut self, uri: S) -> Self { + self.inner.uri = Some(uri.into()); + self + } + + pub fn title>(mut self, title: S) -> Self { + self.inner.title = Some(title.into()); + self + } + + pub fn search_text>(mut self, text: S) -> Self { + self.inner.search_text = Some(text.into()); + self + } + + #[must_use] + pub fn enable_embedding(mut self, enable: bool) -> Self { + self.inner.enable_embedding = enable; + self + } + + #[must_use] + pub fn auto_tag(mut self, enabled: bool) -> Self { + self.inner.auto_tag = enabled; + self + } + + #[must_use] + pub fn extract_dates(mut self, enabled: bool) -> Self { + self.inner.extract_dates = enabled; + self + } + + #[must_use] + pub fn extract_triplets(mut self, enabled: bool) -> Self { + self.inner.extract_triplets = enabled; + self + } + + #[must_use] + pub fn parent_id(mut self, parent_id: FrameId) -> Self { + self.inner.parent_id = Some(parent_id); + self + } + + #[must_use] + pub fn role(mut self, role: FrameRole) -> Self { + self.inner.role = role; + self + } + + /// Don't store raw binary content, only extracted text + SHA256 hash. + #[must_use] + pub fn no_raw(mut self, enabled: bool) -> Self { + self.inner.no_raw = enabled; + self + } + + /// Set the original source file path (for --no-raw reference). + pub fn source_path>(mut self, path: S) -> Self { + self.inner.source_path = Some(path.into()); + self + } + + /// Skip ingestion if a frame with matching BLAKE3 hash already exists. + #[must_use] + pub fn dedup(mut self, enabled: bool) -> Self { + self.inner.dedup = enabled; + self + } + + /// Enable instant indexing for immediate searchability. + /// When disabled, full commit is deferred (faster for batches). + #[must_use] + pub fn instant_index(mut self, enabled: bool) -> Self { + self.inner.instant_index = enabled; + self + } + + /// Set extraction time budget in milliseconds. + /// 0 means no budget (extract everything, slower but complete). + #[must_use] + pub fn extraction_budget_ms(mut self, ms: u64) -> Self { + self.inner.extraction_budget_ms = ms; + self + } + + #[must_use] + pub fn build(self) -> PutOptions { + self.inner + } +} + +// ============================================================================ +// Phase 1: Batch API Types +// ============================================================================ + +/// Request for batch put operation (`put_many`) +/// +/// This struct represents a single document in a batch ingestion operation. +/// Use with `Memvid::put_many()` for 100-200x faster ingestion than individual `put()` calls. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct PutRequest { + /// Document title (required) + pub title: String, + + /// Primary label/category (required) + pub label: String, + + /// Document text content (required) + pub text: String, + + /// Document URI (optional, auto-generated if not provided) + pub uri: Option, + + /// Custom metadata (optional) + #[serde(default)] + pub metadata: BTreeMap, + + /// Document tags (optional) + #[serde(default)] + pub tags: Vec, + + /// Additional labels (optional) + #[serde(default)] + pub labels: Vec, + + /// Pre-computed embedding vector (optional, for batch operations with embeddings) + #[serde(default)] + pub embedding: Option>, +} + +/// Options for `put_many` batch operation +/// +/// Controls compression, checkpointing, and other performance/safety trade-offs +/// for bulk document ingestion. +/// +/// # Performance vs Safety +/// +/// **Fast Mode** (for bulk import): Use `compression_level=1`, `disable_auto_checkpoint=true`, `skip_sync=false` +/// +/// **Ultra-Fast Mode** (NOT crash-safe!): Use `compression_level=1`, `disable_auto_checkpoint=true`, `skip_sync=true` +#[derive(Debug, Clone)] +pub struct PutManyOpts { + /// Compression level for text content + /// - 0: No compression (fastest ingestion, largest files) + /// - 1: Fast compression (recommended for bulk import) + /// - 3: Default compression (good balance) + /// - 11: Maximum compression (slowest, smallest files) + pub compression_level: i32, + + /// Disable auto-checkpoint during batch + /// - true (default): Batch mode - caller must commit explicitly + /// - false: May trigger checkpoints mid-batch (slower) + pub disable_auto_checkpoint: bool, + + /// Skip fsync for maximum speed (NOT CRASH-SAFE!) + /// - false (default): Safe mode - fsync after batch + /// - true: Fast mode - trades crash-safety for speed + pub skip_sync: bool, + + /// Enable embedding generation (slower, not yet implemented) + pub enable_embedding: bool, + + /// Enable auto-tagging (slower, not yet implemented) + pub auto_tag: bool, + + /// Extract dates from text (slower, not yet implemented) + pub extract_dates: bool, + + /// Don't store raw binary content (default: true). + /// Only extracted text + BLAKE3 hash is stored for space efficiency. + /// Set to false if you need to retrieve the original files later. + pub no_raw: bool, + + /// Run rules-based memory extraction after ingestion (default: true). + /// Extracts facts, preferences, events, relationships from ingested content. + pub enable_enrichment: bool, + + /// Pre-allocate the embedded WAL to this many bytes before the batch starts. + /// + /// When `disable_auto_checkpoint` is true, WAL entries accumulate for the + /// entire batch. If the WAL is too small it must grow repeatedly, shifting + /// all payload data each time — an O(file_size) operation per growth. + /// + /// Setting this to `num_entries * avg_entry_bytes` (e.g. 10 KB per entry + /// with 1536-dim embeddings, 2 KB without) eliminates mid-batch WAL growth + /// and can provide a **3-5× speedup** for large batches. + /// + /// 0 (default): no pre-sizing — WAL grows on demand. + pub wal_pre_size_bytes: u64, +} + +impl Default for PutManyOpts { + fn default() -> Self { + Self { + compression_level: 3, // Good balance + disable_auto_checkpoint: true, // Batch mode by default + skip_sync: false, // Safe by default + enable_embedding: false, // Fast by default + auto_tag: false, // Fast by default + extract_dates: false, // Fast by default + no_raw: true, // Text-only mode by default for space efficiency + enable_enrichment: true, // Enrichment enabled by default + wal_pre_size_bytes: 0, // No pre-sizing by default + } + } +} diff --git a/src/types/reranker.rs b/src/types/reranker.rs new file mode 100644 index 0000000..9a20cfb --- /dev/null +++ b/src/types/reranker.rs @@ -0,0 +1,314 @@ +//! Reranker trait and implementations for improving retrieval accuracy. +//! +//! The `Reranker` trait defines a unified interface for reranking search results +//! using various techniques like cross-encoders, LLMs, or BM25 rescoring. +//! +//! ## Architecture +//! +//! A reranker takes a query and a list of candidate documents, and returns +//! a reordered list with relevance scores. This is typically used as a +//! second-stage ranking step after initial retrieval. +//! +//! ## Usage +//! +//! ```ignore +//! let candidates = vec![ +//! RerankerDocument { id: 0, text: "Document 1 text" }, +//! RerankerDocument { id: 1, text: "Document 2 text" }, +//! ]; +//! +//! let reranked = reranker.rerank("What is the capital?", &candidates, 5)?; +//! for result in reranked { +//! println!("ID: {}, Score: {}", result.id, result.score); +//! } +//! ``` + +use crate::error::Result; + +/// A document candidate for reranking. +#[derive(Debug, Clone)] +pub struct RerankerDocument { + /// Unique identifier for this document (usually `frame_id`). + pub id: u64, + /// The text content to be evaluated for relevance. + pub text: String, + /// Optional metadata (e.g., title, URI). + pub metadata: Option, +} + +impl RerankerDocument { + /// Create a new reranker document. + #[must_use] + pub fn new(id: u64, text: impl Into) -> Self { + Self { + id, + text: text.into(), + metadata: None, + } + } + + /// Create with metadata. + #[must_use] + pub fn with_metadata(id: u64, text: impl Into, metadata: impl Into) -> Self { + Self { + id, + text: text.into(), + metadata: Some(metadata.into()), + } + } +} + +/// Result of reranking a document. +#[derive(Debug, Clone)] +pub struct RerankerResult { + /// Document ID. + pub id: u64, + /// Relevance score (higher is more relevant, typically 0.0-1.0). + pub score: f32, + /// Original rank before reranking. + pub original_rank: usize, + /// New rank after reranking. + pub new_rank: usize, +} + +/// Configuration for reranking. +#[derive(Debug, Clone)] +pub struct RerankerConfig { + /// Maximum number of candidates to consider. + pub max_candidates: usize, + /// Maximum number of results to return. + pub top_k: usize, + /// Minimum score threshold (0.0-1.0). + pub min_score: f32, + /// Whether to use document metadata in ranking. + pub use_metadata: bool, +} + +impl Default for RerankerConfig { + fn default() -> Self { + Self { + max_candidates: 50, + top_k: 10, + min_score: 0.0, + use_metadata: false, + } + } +} + +impl RerankerConfig { + /// Create config for high recall (more candidates, lower threshold). + #[must_use] + pub fn high_recall() -> Self { + Self { + max_candidates: 100, + top_k: 20, + min_score: 0.0, + use_metadata: true, + } + } + + /// Create config for high precision (fewer candidates, higher threshold). + #[must_use] + pub fn high_precision() -> Self { + Self { + max_candidates: 20, + top_k: 5, + min_score: 0.3, + use_metadata: true, + } + } +} + +/// Trait for reranking search results. +/// +/// Rerankers improve retrieval quality by evaluating query-document pairs +/// more thoroughly than initial retrieval methods allow. +/// +/// # Implementations +/// +/// - `CrossEncoderReranker`: Uses a cross-encoder model (BERT-based) +/// - `LLMReranker`: Uses an LLM to score relevance +/// - `BM25Reranker`: Uses BM25 scoring as a secondary signal +/// +/// # Example +/// +/// ```ignore +/// struct MyReranker; +/// +/// impl Reranker for MyReranker { +/// fn kind(&self) -> &str { "my-reranker" } +/// +/// fn rerank( +/// &self, +/// query: &str, +/// documents: &[RerankerDocument], +/// top_k: usize, +/// ) -> Result> { +/// // Score and rerank documents +/// todo!() +/// } +/// } +/// ``` +pub trait Reranker: Send + Sync { + /// Return the reranker kind identifier. + fn kind(&self) -> &'static str; + + /// Rerank documents by relevance to the query. + /// + /// # Arguments + /// * `query` - The search query + /// * `documents` - Candidate documents to rerank + /// * `top_k` - Maximum number of results to return + /// + /// # Returns + /// Reranked results sorted by relevance score (highest first). + fn rerank( + &self, + query: &str, + documents: &[RerankerDocument], + top_k: usize, + ) -> Result>; + + /// Check if the reranker is ready. + fn is_ready(&self) -> bool { + true + } + + /// Initialize the reranker (e.g., load models). + fn init(&mut self) -> Result<()> { + Ok(()) + } +} + +/// Enum wrapper for reranker kinds. +#[derive(Debug, Clone, Copy, PartialEq, Eq)] +pub enum RerankerKind { + /// No reranking. + None, + /// BM25-based reranking. + Bm25, + /// Cross-encoder model reranking. + CrossEncoder, + /// LLM-based reranking. + Llm, + /// OpenAI-based reranking. + OpenAI, +} + +impl Default for RerankerKind { + fn default() -> Self { + Self::None + } +} + +impl std::fmt::Display for RerankerKind { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + match self { + Self::None => write!(f, "none"), + Self::Bm25 => write!(f, "bm25"), + Self::CrossEncoder => write!(f, "cross-encoder"), + Self::Llm => write!(f, "llm"), + Self::OpenAI => write!(f, "openai"), + } + } +} + +impl std::str::FromStr for RerankerKind { + type Err = String; + + fn from_str(s: &str) -> std::result::Result { + match s.to_lowercase().as_str() { + "none" | "off" | "disabled" => Ok(Self::None), + "bm25" => Ok(Self::Bm25), + "cross-encoder" | "crossencoder" | "cross_encoder" => Ok(Self::CrossEncoder), + "llm" | "local" => Ok(Self::Llm), + "openai" => Ok(Self::OpenAI), + _ => Err(format!("Unknown reranker kind: {s}")), + } + } +} + +#[cfg(test)] +mod tests { + use super::*; + + struct MockReranker; + + impl Reranker for MockReranker { + fn kind(&self) -> &'static str { + "mock" + } + + fn rerank( + &self, + _query: &str, + documents: &[RerankerDocument], + top_k: usize, + ) -> Result> { + // Simple mock: reverse order and assign scores + let mut results: Vec = documents + .iter() + .enumerate() + .map(|(idx, doc)| RerankerResult { + id: doc.id, + score: 1.0 - (idx as f32 / documents.len() as f32), + original_rank: idx + 1, + new_rank: documents.len() - idx, + }) + .collect(); + + results.sort_by(|a, b| { + b.score + .partial_cmp(&a.score) + .unwrap_or(std::cmp::Ordering::Equal) + }); + + for (idx, result) in results.iter_mut().enumerate() { + result.new_rank = idx + 1; + } + + Ok(results.into_iter().take(top_k).collect()) + } + } + + #[test] + fn test_mock_reranker() { + let reranker = MockReranker; + assert_eq!(reranker.kind(), "mock"); + assert!(reranker.is_ready()); + + let docs = vec![ + RerankerDocument::new(0, "First document"), + RerankerDocument::new(1, "Second document"), + RerankerDocument::new(2, "Third document"), + ]; + + let results = reranker.rerank("query", &docs, 2).unwrap(); + assert_eq!(results.len(), 2); + assert!(results[0].score >= results[1].score); + } + + #[test] + fn test_reranker_kind_parsing() { + assert_eq!("none".parse::().unwrap(), RerankerKind::None); + assert_eq!("bm25".parse::().unwrap(), RerankerKind::Bm25); + assert_eq!( + "openai".parse::().unwrap(), + RerankerKind::OpenAI + ); + assert_eq!("llm".parse::().unwrap(), RerankerKind::Llm); + } + + #[test] + fn test_config_defaults() { + let default = RerankerConfig::default(); + assert_eq!(default.max_candidates, 50); + assert_eq!(default.top_k, 10); + + let high_recall = RerankerConfig::high_recall(); + assert_eq!(high_recall.max_candidates, 100); + + let high_precision = RerankerConfig::high_precision(); + assert!(high_precision.min_score > 0.0); + } +} diff --git a/src/types/schema.rs b/src/types/schema.rs new file mode 100644 index 0000000..b0f50d1 --- /dev/null +++ b/src/types/schema.rs @@ -0,0 +1,592 @@ +//! Schema types for predicate validation and type checking. +//! +//! This module provides typed schemas for predicates (slots) that enable: +//! - Domain validation (which entity kinds can have this predicate) +//! - Range validation (what type of value is expected) +//! - Cardinality enforcement (single vs. multiple values) +//! - Inverse relationship tracking + +use serde::{Deserialize, Serialize}; +use std::collections::HashMap; + +use super::logic_mesh::EntityKind; + +/// Unique identifier for a predicate in the schema. +pub type PredicateId = String; + +/// The type of value a predicate can hold. +#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)] +#[serde(tag = "type", rename_all = "snake_case")] +pub enum ValueType { + /// Free-form string value. + String, + /// Numeric value (integer or float). + Number, + /// Unix timestamp or ISO 8601 date. + DateTime, + /// Boolean value. + Boolean, + /// Reference to another entity of a specific kind. + EntityRef { + /// The kind of entity being referenced. + kind: EntityKind, + }, + /// Controlled vocabulary (one of a fixed set of values). + Enum { + /// The allowed values. + values: Vec, + }, + /// Any value type (no validation). + Any, +} + +impl Default for ValueType { + fn default() -> Self { + Self::String + } +} + +impl ValueType { + /// Check if a value matches this type. + #[must_use] + pub fn matches(&self, value: &str) -> bool { + match self { + Self::String | Self::Any => true, + Self::Number => value.parse::().is_ok(), + Self::DateTime => { + // Check for Unix timestamp or ISO 8601 + value.parse::().is_ok() || value.contains('T') || value.contains('-') + } + Self::Boolean => matches!( + value.to_lowercase().as_str(), + "true" | "false" | "yes" | "no" | "1" | "0" + ), + Self::EntityRef { .. } => !value.is_empty(), // Just check non-empty for now + Self::Enum { values } => values.iter().any(|v| v.eq_ignore_ascii_case(value)), + } + } + + /// Get a human-readable description of this type. + #[must_use] + pub fn description(&self) -> String { + match self { + Self::String => "string".to_string(), + Self::Number => "number".to_string(), + Self::DateTime => "datetime".to_string(), + Self::Boolean => "boolean".to_string(), + Self::EntityRef { kind } => format!("ref:{}", kind.as_str()), + Self::Enum { values } => format!("enum[{}]", values.join("|")), + Self::Any => "any".to_string(), + } + } +} + +/// Cardinality of a predicate (single or multiple values allowed). +#[derive(Debug, Clone, Copy, Serialize, Deserialize, PartialEq, Eq, Default)] +#[serde(rename_all = "snake_case")] +pub enum Cardinality { + /// Only one value per entity (e.g., employer, birthdate). + #[default] + Single, + /// Multiple values allowed (e.g., hobbies, skills). + Multiple, +} + +/// Schema definition for a predicate. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct PredicateSchema { + /// Unique identifier for this predicate. + pub id: PredicateId, + + /// Human-readable name. + pub name: String, + + /// Optional description. + #[serde(default, skip_serializing_if = "Option::is_none")] + pub description: Option, + + /// Entity kinds that can have this predicate (empty = any). + #[serde(default)] + pub domain: Vec, + + /// Expected value type. + #[serde(default)] + pub range: ValueType, + + /// Whether multiple values are allowed. + #[serde(default)] + pub cardinality: Cardinality, + + /// Inverse predicate (e.g., "employer" <-> "employee"). + #[serde(default, skip_serializing_if = "Option::is_none")] + pub inverse: Option, + + /// Whether this is a built-in schema. + #[serde(default)] + pub builtin: bool, +} + +impl PredicateSchema { + /// Create a new predicate schema. + pub fn new(id: impl Into, name: impl Into) -> Self { + let id = id.into(); + Self { + id: id.clone(), + name: name.into(), + description: None, + domain: Vec::new(), + range: ValueType::String, + cardinality: Cardinality::Single, + inverse: None, + builtin: false, + } + } + + /// Set the domain (entity kinds). + #[must_use] + pub fn with_domain(mut self, kinds: Vec) -> Self { + self.domain = kinds; + self + } + + /// Set the range (value type). + #[must_use] + pub fn with_range(mut self, range: ValueType) -> Self { + self.range = range; + self + } + + /// Set cardinality to multiple. + #[must_use] + pub fn multiple(mut self) -> Self { + self.cardinality = Cardinality::Multiple; + self + } + + /// Set the inverse predicate. + pub fn with_inverse(mut self, inverse: impl Into) -> Self { + self.inverse = Some(inverse.into()); + self + } + + /// Mark as built-in. + #[must_use] + pub fn builtin(mut self) -> Self { + self.builtin = true; + self + } + + /// Check if an entity kind is in the domain. + #[must_use] + pub fn allows_entity(&self, kind: EntityKind) -> bool { + self.domain.is_empty() || self.domain.contains(&kind) + } + + /// Validate a value against this schema. + pub fn validate_value(&self, value: &str) -> Result<(), SchemaError> { + if !self.range.matches(value) { + return Err(SchemaError::InvalidRange { + predicate: self.id.clone(), + expected: self.range.description(), + got: value.to_string(), + }); + } + Ok(()) + } +} + +/// Error type for schema validation. +#[derive(Debug, Clone)] +pub enum SchemaError { + /// Entity kind not allowed for this predicate. + InvalidDomain { + predicate: String, + entity_kind: String, + allowed: Vec, + }, + /// Value type doesn't match expected range. + InvalidRange { + predicate: String, + expected: String, + got: String, + }, + /// Cardinality violation (single value already exists). + CardinalityViolation { predicate: String, entity: String }, + /// Unknown predicate. + UnknownPredicate(String), +} + +impl std::fmt::Display for SchemaError { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + match self { + Self::InvalidDomain { + predicate, + entity_kind, + allowed, + } => { + write!( + f, + "predicate '{predicate}' not allowed for entity kind '{entity_kind}' (allowed: {allowed:?})" + ) + } + Self::InvalidRange { + predicate, + expected, + got, + } => { + write!( + f, + "invalid value for '{predicate}': expected {expected}, got '{got}'" + ) + } + Self::CardinalityViolation { predicate, entity } => { + write!( + f, + "cardinality violation: '{entity}' already has a value for '{predicate}'" + ) + } + Self::UnknownPredicate(p) => write!(f, "unknown predicate: '{p}'"), + } + } +} + +impl std::error::Error for SchemaError {} + +/// Registry of predicate schemas with built-in defaults. +#[derive(Debug, Clone, Default, Serialize, Deserialize)] +pub struct SchemaRegistry { + /// All registered schemas. + schemas: HashMap, + /// Whether to enforce strict validation. + #[serde(default)] + strict: bool, +} + +impl SchemaRegistry { + /// Create a new registry with built-in schemas. + #[must_use] + pub fn new() -> Self { + let mut registry = Self { + schemas: HashMap::new(), + strict: false, + }; + registry.register_builtin_schemas(); + registry + } + + /// Create an empty registry without built-in schemas. + #[must_use] + pub fn empty() -> Self { + Self { + schemas: HashMap::new(), + strict: false, + } + } + + /// Enable strict validation (unknown predicates are rejected). + #[must_use] + pub fn strict(mut self) -> Self { + self.strict = true; + self + } + + /// Register built-in schemas for common predicates. + fn register_builtin_schemas(&mut self) { + // Employment predicates + self.register( + PredicateSchema::new("employer", "Employer") + .with_domain(vec![EntityKind::Person]) + .with_range(ValueType::String) + .builtin(), + ); + self.register( + PredicateSchema::new("workplace", "Workplace") + .with_domain(vec![EntityKind::Person]) + .with_range(ValueType::String) + .builtin(), + ); + self.register( + PredicateSchema::new("job_title", "Job Title") + .with_domain(vec![EntityKind::Person]) + .with_range(ValueType::String) + .builtin(), + ); + self.register( + PredicateSchema::new("occupation", "Occupation") + .with_domain(vec![EntityKind::Person]) + .with_range(ValueType::String) + .builtin(), + ); + + // Location predicates + self.register( + PredicateSchema::new("location", "Location") + .with_range(ValueType::String) + .builtin(), + ); + self.register( + PredicateSchema::new("city", "City") + .with_range(ValueType::String) + .builtin(), + ); + self.register( + PredicateSchema::new("country", "Country") + .with_range(ValueType::String) + .builtin(), + ); + + // Relationship predicates + self.register( + PredicateSchema::new("spouse", "Spouse") + .with_domain(vec![EntityKind::Person]) + .with_range(ValueType::EntityRef { + kind: EntityKind::Person, + }) + .with_inverse("spouse") + .builtin(), + ); + self.register( + PredicateSchema::new("manager", "Manager") + .with_domain(vec![EntityKind::Person]) + .with_range(ValueType::EntityRef { + kind: EntityKind::Person, + }) + .with_inverse("reports") + .builtin(), + ); + + // Preference predicates (multiple allowed) + self.register( + PredicateSchema::new("likes", "Likes") + .with_domain(vec![EntityKind::Person]) + .multiple() + .builtin(), + ); + self.register( + PredicateSchema::new("dislikes", "Dislikes") + .with_domain(vec![EntityKind::Person]) + .multiple() + .builtin(), + ); + self.register( + PredicateSchema::new("preference", "Preference") + .multiple() + .builtin(), + ); + self.register( + PredicateSchema::new("hobby", "Hobby") + .with_domain(vec![EntityKind::Person]) + .multiple() + .builtin(), + ); + + // Personal info predicates + self.register( + PredicateSchema::new("age", "Age") + .with_domain(vec![EntityKind::Person]) + .with_range(ValueType::Number) + .builtin(), + ); + self.register( + PredicateSchema::new("birthday", "Birthday") + .with_domain(vec![EntityKind::Person]) + .with_range(ValueType::DateTime) + .builtin(), + ); + self.register( + PredicateSchema::new("education", "Education") + .with_domain(vec![EntityKind::Person]) + .multiple() + .builtin(), + ); + self.register( + PredicateSchema::new("email", "Email") + .with_range(ValueType::String) + .builtin(), + ); + + // Pet predicate + self.register( + PredicateSchema::new("pet", "Pet") + .with_domain(vec![EntityKind::Person]) + .multiple() + .builtin(), + ); + } + + /// Register a schema. + pub fn register(&mut self, schema: PredicateSchema) { + self.schemas.insert(schema.id.clone(), schema); + } + + /// Get a schema by predicate ID. + #[must_use] + pub fn get(&self, predicate: &str) -> Option<&PredicateSchema> { + self.schemas.get(predicate) + } + + /// Check if a predicate is known. + #[must_use] + pub fn contains(&self, predicate: &str) -> bool { + self.schemas.contains_key(predicate) + } + + /// Get all schema entries. + pub fn all(&self) -> impl Iterator { + self.schemas.values() + } + + /// Validate a triplet against the schema. + pub fn validate( + &self, + predicate: &str, + value: &str, + entity_kind: Option, + ) -> Result<(), SchemaError> { + let schema = if let Some(s) = self.schemas.get(predicate) { + s + } else { + if self.strict { + return Err(SchemaError::UnknownPredicate(predicate.to_string())); + } + return Ok(()); // Allow unknown predicates in non-strict mode + }; + + // Validate domain + if let Some(kind) = entity_kind { + if !schema.allows_entity(kind) { + return Err(SchemaError::InvalidDomain { + predicate: predicate.to_string(), + entity_kind: kind.as_str().to_string(), + allowed: schema + .domain + .iter() + .map(|k| k.as_str().to_string()) + .collect(), + }); + } + } + + // Validate range + schema.validate_value(value)?; + + Ok(()) + } + + /// Infer a schema from existing memory cards. + #[must_use] + pub fn infer_from_values(&self, predicate: &str, values: &[&str]) -> PredicateSchema { + let mut schema = PredicateSchema::new(predicate, predicate); + + // Try to infer type from values + let all_numeric = values.iter().all(|v| v.parse::().is_ok()); + let all_datetime = values + .iter() + .all(|v| v.parse::().is_ok() || v.contains('T')); + let all_boolean = values.iter().all(|v| { + matches!( + v.to_lowercase().as_str(), + "true" | "false" | "yes" | "no" | "1" | "0" + ) + }); + + if all_numeric && !values.is_empty() { + schema.range = ValueType::Number; + } else if all_datetime && !values.is_empty() { + schema.range = ValueType::DateTime; + } else if all_boolean && !values.is_empty() { + schema.range = ValueType::Boolean; + } + + // Check cardinality (if more than one unique value for same entity) + let unique_values: std::collections::HashSet<_> = values.iter().collect(); + if unique_values.len() > 1 { + schema.cardinality = Cardinality::Multiple; + } + + schema + } +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_value_type_matches() { + assert!(ValueType::String.matches("hello")); + assert!(ValueType::Number.matches("42")); + assert!(ValueType::Number.matches("3.14")); + assert!(!ValueType::Number.matches("abc")); + assert!(ValueType::Boolean.matches("true")); + assert!(ValueType::Boolean.matches("false")); + assert!(!ValueType::Boolean.matches("maybe")); + assert!( + ValueType::Enum { + values: vec!["a".to_string(), "b".to_string()] + } + .matches("A") + ); + assert!( + !ValueType::Enum { + values: vec!["a".to_string(), "b".to_string()] + } + .matches("c") + ); + } + + #[test] + fn test_predicate_schema_validation() { + let schema = PredicateSchema::new("age", "Age") + .with_domain(vec![EntityKind::Person]) + .with_range(ValueType::Number); + + assert!(schema.validate_value("25").is_ok()); + assert!(schema.validate_value("abc").is_err()); + assert!(schema.allows_entity(EntityKind::Person)); + assert!(!schema.allows_entity(EntityKind::Organization)); + } + + #[test] + fn test_schema_registry() { + let registry = SchemaRegistry::new(); + + // Built-in schemas should exist + assert!(registry.contains("employer")); + assert!(registry.contains("location")); + assert!(registry.contains("age")); + + // Validate against built-in + assert!( + registry + .validate("age", "25", Some(EntityKind::Person)) + .is_ok() + ); + assert!( + registry + .validate("age", "abc", Some(EntityKind::Person)) + .is_err() + ); + } + + #[test] + fn test_schema_registry_strict() { + let registry = SchemaRegistry::new().strict(); + + // Unknown predicate should fail in strict mode + assert!(registry.validate("unknown_pred", "value", None).is_err()); + } + + #[test] + fn test_schema_inference() { + let registry = SchemaRegistry::new(); + + let values = vec!["25", "30", "45"]; + let schema = registry.infer_from_values("age", &values); + assert_eq!(schema.range, ValueType::Number); + + let values = vec!["true", "false", "true"]; + let schema = registry.infer_from_values("active", &values); + assert_eq!(schema.range, ValueType::Boolean); + } +} diff --git a/src/types/search.rs b/src/types/search.rs new file mode 100644 index 0000000..ddce17f --- /dev/null +++ b/src/types/search.rs @@ -0,0 +1,201 @@ +//! Public search request/response types exposed by the core library. + +use serde::{Deserialize, Serialize}; + +use super::acl::{AclContext, AclEnforcementMode}; +use super::common::FrameId; +#[cfg(feature = "temporal_track")] +use super::frame::AnchorSource; +#[cfg(feature = "temporal_track")] +use super::temporal::{TemporalFilter, TemporalMentionFlags, TemporalMentionKind}; + +/// Parameters used to page and shape search results. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct SearchParams { + /// Maximum hits to return. + pub top_k: usize, + /// Number of characters to capture around matches. + pub snippet_chars: usize, + #[serde(default, skip_serializing_if = "Option::is_none")] + /// Cursor token for pagination. + pub cursor: Option, +} + +/// Engine selected to satisfy a search. +#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)] +#[serde(rename_all = "snake_case")] +pub enum SearchEngineKind { + Tantivy, + LexFallback, + Hybrid, +} + +impl Default for SearchEngineKind { + fn default() -> Self { + Self::LexFallback + } +} + +/// Search request accepted by the core; supports lexical, hybrid, and temporal filters. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct SearchRequest { + /// Query string (lexical or semantic depending on engine). + pub query: String, + /// Maximum hits to return. + pub top_k: usize, + /// Number of characters to capture around matches. + pub snippet_chars: usize, + #[serde(default)] + /// Restrict search to a specific URI. + pub uri: Option, + #[serde(default)] + /// Restrict search to a named scope/collection. + pub scope: Option, + #[serde(default)] + /// Pagination cursor. + pub cursor: Option, + #[cfg(feature = "temporal_track")] + #[serde(default, skip_serializing_if = "Option::is_none")] + pub temporal: Option, + #[serde(default)] + /// Replay: Filter to frames with id <= `as_of_frame` (time-travel view). + pub as_of_frame: Option, + #[serde(default)] + /// Replay: Filter to frames with timestamp <= `as_of_ts` (time-travel view). + pub as_of_ts: Option, + #[serde(default)] + /// Disable sketch pre-filtering for this query. + pub no_sketch: bool, + #[serde(default, skip_serializing_if = "Option::is_none")] + /// Optional caller identity context used for ACL filtering. + pub acl_context: Option, + #[serde(default)] + /// ACL evaluation mode (`audit` or `enforce`). + pub acl_enforcement_mode: AclEnforcementMode, +} + +/// A single ranked hit with snippet metadata. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct SearchHit { + pub rank: usize, + pub frame_id: FrameId, + pub uri: String, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub title: Option, + pub range: (usize, usize), + pub text: String, + pub matches: usize, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub chunk_range: Option<(usize, usize)>, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub chunk_text: Option, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub score: Option, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub metadata: Option, +} + +/// Entity reference in search hit metadata. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct SearchHitEntity { + /// Entity display name. + pub name: String, + /// Entity kind (person, organization, etc.). + pub kind: String, + /// Confidence score (0.0-1.0). + #[serde(skip_serializing_if = "Option::is_none")] + pub confidence: Option, +} + +/// Optional per-hit metadata (tags, labels, dates, temporal context). +#[derive(Debug, Clone, Serialize, Deserialize, Default)] +pub struct SearchHitMetadata { + #[serde(default)] + pub matches: usize, + #[serde(default, skip_serializing_if = "Vec::is_empty")] + pub tags: Vec, + #[serde(default, skip_serializing_if = "Vec::is_empty")] + pub labels: Vec, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub track: Option, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub created_at: Option, + #[serde(default, skip_serializing_if = "Vec::is_empty")] + pub content_dates: Vec, + /// Entities mentioned in this search hit (from Logic-Mesh). + #[serde(default, skip_serializing_if = "Vec::is_empty")] + pub entities: Vec, + /// Custom user-defined metadata stored with the frame via `PutOptions.extra_metadata`. + #[serde(default, skip_serializing_if = "std::collections::BTreeMap::is_empty")] + pub extra_metadata: std::collections::BTreeMap, + #[cfg(feature = "temporal_track")] + #[serde(default, skip_serializing_if = "Option::is_none")] + pub temporal: Option, +} + +#[cfg(feature = "temporal_track")] +/// Temporal annotations attached to a hit when temporal tracking is enabled. +#[derive(Debug, Clone, Serialize, Deserialize, Default)] +pub struct SearchHitTemporal { + #[serde(default, skip_serializing_if = "Option::is_none")] + pub anchor: Option, + #[serde(default, skip_serializing_if = "Vec::is_empty")] + pub mentions: Vec, +} + +#[cfg(feature = "temporal_track")] +/// Anchor timestamp for a temporal hit (absolute and ISO strings). +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct SearchHitTemporalAnchor { + pub ts_utc: i64, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub iso_8601: Option, + pub source: AnchorSource, +} + +#[cfg(feature = "temporal_track")] +/// Temporal mention (range or instant) extracted from the document. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct SearchHitTemporalMention { + pub ts_utc: i64, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub iso_8601: Option, + pub kind: TemporalMentionKind, + pub confidence: u16, + pub flags: TemporalMentionFlags, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub text: Option, + pub byte_start: u32, + pub byte_len: u32, +} + +/// Full search response with hits, params, engine, and an optional cursor. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct SearchResponse { + /// Query echoed back for clients. + pub query: String, + /// Milliseconds spent satisfying the request. + pub elapsed_ms: u128, + /// Total hits found (without pagination applied). + pub total_hits: usize, + /// Parameters used for this request, including cursors. + pub params: SearchParams, + /// Ranked hits. + pub hits: Vec, + /// Concatenated snippets or context paragraphs. + pub context: String, + #[serde(default, skip_serializing_if = "Option::is_none")] + /// Cursor for fetching the next page, if any. + pub next_cursor: Option, + #[serde(default)] + /// Engine responsible for the results. + pub engine: SearchEngineKind, + /// Number of search hits skipped due to stale frame_ids in the index. + #[serde(default, skip_serializing_if = "is_zero")] + pub stale_index_skips: u32, +} + +#[allow(clippy::trivially_copy_pass_by_ref)] +const fn is_zero(v: &u32) -> bool { + *v == 0 +} diff --git a/src/types/sketch_track.rs b/src/types/sketch_track.rs new file mode 100644 index 0000000..30c0c6f --- /dev/null +++ b/src/types/sketch_track.rs @@ -0,0 +1,1324 @@ +//! Sketch Track for ultra-fast candidate generation in MV2 files. +//! +//! The Sketch Track stores fixed-size per-frame micro-indices that enable +//! fast candidate filtering before expensive BM25/vector reranking. +//! +//! Key components: +//! - **`SimHash`**: 64-bit locality-sensitive hash for approximate cosine similarity +//! - **Term Filter**: Compact bitset for fast query term overlap detection +//! - **Top Terms**: Hashed IDs of highest-weight terms for direct matching +//! +//! References: +//! - Charikar 2002: `SimHash` for cosine similarity estimation +//! - Manku et al. 2007: Web-scale near-duplicate detection +//! - `RocksDB` block filters: LSM-style membership filtering + +use std::collections::HashMap; +use std::io::{Read, Seek, SeekFrom, Write}; + +use blake3::Hasher; +use serde::{Deserialize, Serialize}; + +use crate::error::{MemvidError, Result}; +use crate::types::FrameId; + +// ============================================================================ +// Safe Byte Extraction Helpers +// ============================================================================ + +/// Extract a fixed-size array from a byte slice. Panics if slice is too short. +/// Only use this when the input buffer size is compile-time guaranteed. +#[inline] +fn read_u16_le(buf: &[u8], offset: usize) -> u16 { + u16::from_le_bytes([buf[offset], buf[offset + 1]]) +} + +#[inline] +fn read_u32_le(buf: &[u8], offset: usize) -> u32 { + u32::from_le_bytes([ + buf[offset], + buf[offset + 1], + buf[offset + 2], + buf[offset + 3], + ]) +} + +#[inline] +fn read_u64_le(buf: &[u8], offset: usize) -> u64 { + u64::from_le_bytes([ + buf[offset], + buf[offset + 1], + buf[offset + 2], + buf[offset + 3], + buf[offset + 4], + buf[offset + 5], + buf[offset + 6], + buf[offset + 7], + ]) +} + +// ============================================================================ +// Constants +// ============================================================================ + +/// Magic bytes identifying the sketch track: "MVSK" +pub const SKETCH_TRACK_MAGIC: [u8; 4] = *b"MVSK"; + +/// Current version of the sketch track format. +pub const SKETCH_TRACK_VERSION: u16 = 1; + +/// Default Hamming distance threshold for `SimHash` similarity (out of 64 bits). +/// Lower = stricter matching. 8-12 is typical for near-duplicate detection. +pub const DEFAULT_HAMMING_THRESHOLD: u32 = 10; + +/// Term filter size in bytes for Small variant (128 bits). +pub const TERM_FILTER_SIZE_SMALL: usize = 16; + +/// Term filter size in bytes for Medium variant (256 bits). +pub const TERM_FILTER_SIZE_MEDIUM: usize = 32; + +/// Term filter size in bytes for Large variant (512 bits). +pub const TERM_FILTER_SIZE_LARGE: usize = 64; + +/// Number of top terms to store in Small variant. +pub const TOP_TERMS_COUNT_SMALL: usize = 2; + +/// Number of top terms to store in Medium variant. +pub const TOP_TERMS_COUNT_MEDIUM: usize = 4; + +/// Number of top terms to store in Large variant. +pub const TOP_TERMS_COUNT_LARGE: usize = 6; + +/// Entry size in bytes for Small variant (32 bytes). +pub const ENTRY_SIZE_SMALL: usize = 32; + +/// Entry size in bytes for Medium variant (64 bytes). +pub const ENTRY_SIZE_MEDIUM: usize = 64; + +/// Entry size in bytes for Large variant (96 bytes). +pub const ENTRY_SIZE_LARGE: usize = 96; + +// ============================================================================ +// Sketch Entry Variants +// ============================================================================ + +/// Sketch size variant determining storage overhead and precision. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)] +#[repr(u8)] +#[derive(Default)] +pub enum SketchVariant { + /// Small: 32 bytes/frame (128-bit filter, 2 top terms) + #[default] + Small = 0, + /// Medium: 64 bytes/frame (256-bit filter, 4 top terms) + Medium = 1, + /// Large: 96 bytes/frame (512-bit filter, 6 top terms, optional `MinHash`) + Large = 2, +} + +impl SketchVariant { + /// Get the entry size in bytes for this variant. + #[must_use] + pub fn entry_size(&self) -> usize { + match self { + SketchVariant::Small => ENTRY_SIZE_SMALL, + SketchVariant::Medium => ENTRY_SIZE_MEDIUM, + SketchVariant::Large => ENTRY_SIZE_LARGE, + } + } + + /// Get the term filter size in bytes for this variant. + #[must_use] + pub fn term_filter_size(&self) -> usize { + match self { + SketchVariant::Small => TERM_FILTER_SIZE_SMALL, + SketchVariant::Medium => TERM_FILTER_SIZE_MEDIUM, + SketchVariant::Large => TERM_FILTER_SIZE_LARGE, + } + } + + /// Get the number of top terms stored for this variant. + #[must_use] + pub fn top_terms_count(&self) -> usize { + match self { + SketchVariant::Small => TOP_TERMS_COUNT_SMALL, + SketchVariant::Medium => TOP_TERMS_COUNT_MEDIUM, + SketchVariant::Large => TOP_TERMS_COUNT_LARGE, + } + } + + /// Create from raw byte value. + #[must_use] + pub fn from_u8(value: u8) -> Option { + match value { + 0 => Some(SketchVariant::Small), + 1 => Some(SketchVariant::Medium), + 2 => Some(SketchVariant::Large), + _ => None, + } + } +} + +/// Feature flags for sketch entries. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Default)] +pub struct SketchFlags(u16); + +impl SketchFlags { + /// Entry has valid `SimHash`. + pub const HAS_SIMHASH: u16 = 1 << 0; + /// Entry has valid term filter. + pub const HAS_TERM_FILTER: u16 = 1 << 1; + /// Entry has valid top terms. + pub const HAS_TOP_TERMS: u16 = 1 << 2; + /// Entry has `MinHash` (Large variant only). + pub const HAS_MINHASH: u16 = 1 << 3; + /// Entry was generated from short text (<50 tokens). + pub const SHORT_TEXT: u16 = 1 << 4; + + /// Create new flags with all features enabled. + #[must_use] + pub fn all() -> Self { + Self(Self::HAS_SIMHASH | Self::HAS_TERM_FILTER | Self::HAS_TOP_TERMS) + } + + /// Check if a flag is set. + #[must_use] + pub fn has(&self, flag: u16) -> bool { + self.0 & flag != 0 + } + + /// Set a flag. + pub fn set(&mut self, flag: u16) { + self.0 |= flag; + } + + /// Get raw value. + #[must_use] + pub fn bits(&self) -> u16 { + self.0 + } + + /// Create from raw value. + #[must_use] + pub fn from_bits(bits: u16) -> Self { + Self(bits) + } +} + +// ============================================================================ +// Small Sketch Entry (32 bytes) +// ============================================================================ + +/// Small sketch entry: 32 bytes per frame. +/// +/// Layout: +/// - simhash: u64 (8 bytes) +/// - `term_filter`: [u8; 16] (16 bytes) - 128-bit Bloom-like filter +/// - `top_terms`: [u32; 2] (8 bytes) - hashed IDs of top 2 terms +#[derive(Debug, Clone, Copy, PartialEq, Eq)] +pub struct SketchEntrySmall { + /// `SimHash` fingerprint (64-bit LSH for cosine similarity). + pub simhash: u64, + /// Compact term membership filter (128-bit). + pub term_filter: [u8; TERM_FILTER_SIZE_SMALL], + /// Hashed IDs of top-weighted terms. + pub top_terms: [u32; TOP_TERMS_COUNT_SMALL], +} + +impl Default for SketchEntrySmall { + fn default() -> Self { + Self { + simhash: 0, + term_filter: [0u8; TERM_FILTER_SIZE_SMALL], + top_terms: [0u32; TOP_TERMS_COUNT_SMALL], + } + } +} + +impl SketchEntrySmall { + /// Serialize to bytes (32 bytes). + #[must_use] + pub fn to_bytes(&self) -> [u8; ENTRY_SIZE_SMALL] { + let mut buf = [0u8; ENTRY_SIZE_SMALL]; + buf[0..8].copy_from_slice(&self.simhash.to_le_bytes()); + buf[8..24].copy_from_slice(&self.term_filter); + buf[24..28].copy_from_slice(&self.top_terms[0].to_le_bytes()); + buf[28..32].copy_from_slice(&self.top_terms[1].to_le_bytes()); + buf + } + + /// Deserialize from bytes. + #[must_use] + pub fn from_bytes(buf: &[u8; ENTRY_SIZE_SMALL]) -> Self { + let simhash = read_u64_le(buf, 0); + let mut term_filter = [0u8; TERM_FILTER_SIZE_SMALL]; + term_filter.copy_from_slice(&buf[8..24]); + let top_terms = [read_u32_le(buf, 24), read_u32_le(buf, 28)]; + Self { + simhash, + term_filter, + top_terms, + } + } +} + +// ============================================================================ +// Medium Sketch Entry (64 bytes) +// ============================================================================ + +/// Medium sketch entry: 64 bytes per frame. +/// +/// Layout: +/// - simhash: u64 (8 bytes) +/// - `term_filter`: [u8; 32] (32 bytes) - 256-bit filter +/// - `top_terms`: [u32; 4] (16 bytes) - hashed IDs of top 4 terms +/// - `term_weight_sum`: u16 (2 bytes) +/// - flags: u16 (2 bytes) +/// - `length_hint`: u16 (2 bytes) - token count bucket +/// - reserved: u16 (2 bytes) +#[derive(Debug, Clone, Copy, PartialEq, Eq)] +pub struct SketchEntryMedium { + /// `SimHash` fingerprint. + pub simhash: u64, + /// Compact term membership filter (256-bit). + pub term_filter: [u8; TERM_FILTER_SIZE_MEDIUM], + /// Hashed IDs of top-weighted terms. + pub top_terms: [u32; TOP_TERMS_COUNT_MEDIUM], + /// Sum of top-term weights (for normalization). + pub term_weight_sum: u16, + /// Feature flags. + pub flags: u16, + /// Token count bucket (0-255 maps to ranges). + pub length_hint: u16, + /// Reserved for future use. + pub reserved: u16, +} + +impl Default for SketchEntryMedium { + fn default() -> Self { + Self { + simhash: 0, + term_filter: [0u8; TERM_FILTER_SIZE_MEDIUM], + top_terms: [0u32; TOP_TERMS_COUNT_MEDIUM], + term_weight_sum: 0, + flags: 0, + length_hint: 0, + reserved: 0, + } + } +} + +impl SketchEntryMedium { + /// Serialize to bytes (64 bytes). + #[must_use] + pub fn to_bytes(&self) -> [u8; ENTRY_SIZE_MEDIUM] { + let mut buf = [0u8; ENTRY_SIZE_MEDIUM]; + let mut offset = 0; + + buf[offset..offset + 8].copy_from_slice(&self.simhash.to_le_bytes()); + offset += 8; + + buf[offset..offset + TERM_FILTER_SIZE_MEDIUM].copy_from_slice(&self.term_filter); + offset += TERM_FILTER_SIZE_MEDIUM; + + for term in &self.top_terms { + buf[offset..offset + 4].copy_from_slice(&term.to_le_bytes()); + offset += 4; + } + + buf[offset..offset + 2].copy_from_slice(&self.term_weight_sum.to_le_bytes()); + offset += 2; + buf[offset..offset + 2].copy_from_slice(&self.flags.to_le_bytes()); + offset += 2; + buf[offset..offset + 2].copy_from_slice(&self.length_hint.to_le_bytes()); + offset += 2; + buf[offset..offset + 2].copy_from_slice(&self.reserved.to_le_bytes()); + + buf + } + + /// Deserialize from bytes. + #[must_use] + pub fn from_bytes(buf: &[u8; ENTRY_SIZE_MEDIUM]) -> Self { + let mut offset = 0; + + let simhash = read_u64_le(buf, offset); + offset += 8; + + let mut term_filter = [0u8; TERM_FILTER_SIZE_MEDIUM]; + term_filter.copy_from_slice(&buf[offset..offset + TERM_FILTER_SIZE_MEDIUM]); + offset += TERM_FILTER_SIZE_MEDIUM; + + let mut top_terms = [0u32; TOP_TERMS_COUNT_MEDIUM]; + for (i, term) in top_terms.iter_mut().enumerate() { + *term = read_u32_le(buf, offset + i * 4); + } + offset += TOP_TERMS_COUNT_MEDIUM * 4; + + let term_weight_sum = read_u16_le(buf, offset); + offset += 2; + let flags = read_u16_le(buf, offset); + offset += 2; + let length_hint = read_u16_le(buf, offset); + offset += 2; + let reserved = read_u16_le(buf, offset); + + Self { + simhash, + term_filter, + top_terms, + term_weight_sum, + flags, + length_hint, + reserved, + } + } +} + +// ============================================================================ +// Unified Sketch Entry (supports all variants) +// ============================================================================ + +/// Unified sketch entry that can represent any variant. +#[derive(Debug, Clone, PartialEq, Eq)] +pub struct SketchEntry { + /// Frame ID this sketch belongs to. + pub frame_id: FrameId, + /// `SimHash` fingerprint (64-bit LSH). + pub simhash: u64, + /// Compact term membership filter (variable size). + pub term_filter: Vec, + /// Hashed IDs of top-weighted terms. + pub top_terms: Vec, + /// Sum of top-term weights. + pub term_weight_sum: u16, + /// Feature flags. + pub flags: SketchFlags, + /// Token count bucket. + pub length_hint: u16, +} + +impl Default for SketchEntry { + fn default() -> Self { + Self { + frame_id: 0, + simhash: 0, + term_filter: vec![0u8; TERM_FILTER_SIZE_SMALL], + top_terms: vec![0u32; TOP_TERMS_COUNT_SMALL], + term_weight_sum: 0, + flags: SketchFlags::default(), + length_hint: 0, + } + } +} + +impl SketchEntry { + /// Create a new sketch entry for a frame. + #[must_use] + pub fn new(frame_id: FrameId, variant: SketchVariant) -> Self { + Self { + frame_id, + simhash: 0, + term_filter: vec![0u8; variant.term_filter_size()], + top_terms: vec![0u32; variant.top_terms_count()], + term_weight_sum: 0, + flags: SketchFlags::default(), + length_hint: 0, + } + } + + /// Convert to Small variant bytes. + #[must_use] + pub fn to_small_bytes(&self) -> [u8; ENTRY_SIZE_SMALL] { + let mut small = SketchEntrySmall::default(); + small.simhash = self.simhash; + if self.term_filter.len() >= TERM_FILTER_SIZE_SMALL { + small + .term_filter + .copy_from_slice(&self.term_filter[..TERM_FILTER_SIZE_SMALL]); + } + for (i, term) in self + .top_terms + .iter() + .take(TOP_TERMS_COUNT_SMALL) + .enumerate() + { + small.top_terms[i] = *term; + } + small.to_bytes() + } + + /// Convert to Medium variant bytes. + #[must_use] + pub fn to_medium_bytes(&self) -> [u8; ENTRY_SIZE_MEDIUM] { + let mut medium = SketchEntryMedium::default(); + medium.simhash = self.simhash; + if self.term_filter.len() >= TERM_FILTER_SIZE_MEDIUM { + medium + .term_filter + .copy_from_slice(&self.term_filter[..TERM_FILTER_SIZE_MEDIUM]); + } else { + medium.term_filter[..self.term_filter.len()].copy_from_slice(&self.term_filter); + } + for (i, term) in self + .top_terms + .iter() + .take(TOP_TERMS_COUNT_MEDIUM) + .enumerate() + { + medium.top_terms[i] = *term; + } + medium.term_weight_sum = self.term_weight_sum; + medium.flags = self.flags.bits(); + medium.length_hint = self.length_hint; + medium.to_bytes() + } + + /// Create from Small variant bytes. + #[must_use] + pub fn from_small_bytes(frame_id: FrameId, buf: &[u8; ENTRY_SIZE_SMALL]) -> Self { + let small = SketchEntrySmall::from_bytes(buf); + Self { + frame_id, + simhash: small.simhash, + term_filter: small.term_filter.to_vec(), + top_terms: small.top_terms.to_vec(), + term_weight_sum: 0, + flags: SketchFlags::all(), + length_hint: 0, + } + } + + /// Create from Medium variant bytes. + #[must_use] + pub fn from_medium_bytes(frame_id: FrameId, buf: &[u8; ENTRY_SIZE_MEDIUM]) -> Self { + let medium = SketchEntryMedium::from_bytes(buf); + Self { + frame_id, + simhash: medium.simhash, + term_filter: medium.term_filter.to_vec(), + top_terms: medium.top_terms.to_vec(), + term_weight_sum: medium.term_weight_sum, + flags: SketchFlags::from_bits(medium.flags), + length_hint: medium.length_hint, + } + } + + /// Compute Hamming distance between this sketch's `SimHash` and another. + #[must_use] + pub fn hamming_distance(&self, other_simhash: u64) -> u32 { + (self.simhash ^ other_simhash).count_ones() + } + + /// Check if term filter might contain any of the query terms. + /// Returns true if there's potential overlap (may have false positives). + #[must_use] + pub fn term_filter_maybe_overlaps(&self, query_filter: &[u8]) -> bool { + // AND the filters and check if any bits are set + self.term_filter + .iter() + .zip(query_filter.iter()) + .any(|(a, b)| a & b != 0) + } + + /// Count matching top terms with a query's top terms. + #[must_use] + pub fn count_matching_top_terms(&self, query_terms: &[u32]) -> usize { + self.top_terms + .iter() + .filter(|t| **t != 0 && query_terms.contains(t)) + .count() + } +} + +// ============================================================================ +// SimHash Implementation +// ============================================================================ + +/// Compute `SimHash` from weighted tokens. +/// +/// `SimHash` is a locality-sensitive hash that approximates cosine similarity. +/// Documents with similar content will have `SimHash` values with small Hamming distance. +/// +/// Algorithm: +/// 1. For each token, compute a 64-bit hash +/// 2. Multiply each bit position by the token's weight (+weight if bit=1, -weight if bit=0) +/// 3. Sum across all tokens +/// 4. Final hash: bit i = 1 if sum[i] > 0, else 0 +#[must_use] +pub fn compute_simhash(tokens: &[(u64, i32)]) -> u64 { + if tokens.is_empty() { + return 0; + } + + // Accumulator for each bit position + let mut v = [0i64; 64]; + + for (token_hash, weight) in tokens { + let weight = i64::from(*weight); + for i in 0..64 { + if (token_hash >> i) & 1 == 1 { + v[i] += weight; + } else { + v[i] -= weight; + } + } + } + + // Build final hash + let mut simhash = 0u64; + for (i, &sum) in v.iter().enumerate() { + if sum > 0 { + simhash |= 1u64 << i; + } + } + + simhash +} + +/// Hash a token string to u64 using xxHash-style mixing. +/// Deterministic across platforms. +#[must_use] +pub fn hash_token(token: &str) -> u64 { + // Use BLAKE3 for determinism, take first 8 bytes as u64 + let hash = blake3::hash(token.as_bytes()); + let bytes = hash.as_bytes(); + read_u64_le(bytes, 0) +} + +/// Hash a token to u32 for `top_terms` storage. +#[must_use] +pub fn hash_token_u32(token: &str) -> u32 { + let h = hash_token(token); + #[allow(clippy::cast_possible_truncation)] + let res = (h ^ (h >> 32)) as u32; + res +} + +// ============================================================================ +// Term Filter (Bloom-like Bitset) +// ============================================================================ + +/// Build a term filter bitset from token hashes. +/// +/// Each token sets multiple bits (k hash functions simulated by bit rotation). +/// This creates a compact membership test with configurable false positive rate. +#[must_use] +pub fn build_term_filter(token_hashes: &[u64], filter_size_bytes: usize) -> Vec { + let mut filter = vec![0u8; filter_size_bytes]; + let filter_bits = filter_size_bytes * 8; + + for &hash in token_hashes { + // Use 3 hash functions (simulated via rotation) + let h1 = usize::try_from(hash % (filter_bits as u64)).unwrap_or(0); + let h2 = usize::try_from((hash >> 16) % (filter_bits as u64)).unwrap_or(0); + let h3 = usize::try_from((hash >> 32) % (filter_bits as u64)).unwrap_or(0); + + filter[h1 / 8] |= 1 << (h1 % 8); + filter[h2 / 8] |= 1 << (h2 % 8); + filter[h3 / 8] |= 1 << (h3 % 8); + } + + filter +} + +/// Check if a term filter might contain a token. +#[must_use] +pub fn term_filter_maybe_contains(filter: &[u8], token_hash: u64) -> bool { + let filter_bits = filter.len() * 8; + let h1 = usize::try_from(token_hash % (filter_bits as u64)).unwrap_or(0); + let h2 = usize::try_from((token_hash >> 16) % (filter_bits as u64)).unwrap_or(0); + let h3 = usize::try_from((token_hash >> 32) % (filter_bits as u64)).unwrap_or(0); + + (filter[h1 / 8] & (1 << (h1 % 8)) != 0) + && (filter[h2 / 8] & (1 << (h2 % 8)) != 0) + && (filter[h3 / 8] & (1 << (h3 % 8)) != 0) +} + +// ============================================================================ +// Tokenization (Deterministic) +// ============================================================================ + +/// Tokenize text deterministically for sketch generation. +/// +/// Rules: +/// - Unicode NFKC normalization +/// - Lowercase +/// - Split on whitespace and punctuation +/// - Keep only alphanumeric tokens >= 2 chars +#[must_use] +pub fn tokenize_for_sketch(text: &str) -> Vec { + use unicode_normalization::UnicodeNormalization; + + // NFKC normalize and lowercase + let normalized: String = text.nfkc().collect::().to_lowercase(); + + // Split on non-alphanumeric, filter short tokens + normalized + .split(|c: char| !c.is_alphanumeric()) + .filter(|s| s.len() >= 2) + .map(String::from) + .collect() +} + +/// Compute token weights using TF with cap and optional IDF. +/// +/// Returns (`token_hash`, weight) pairs sorted by weight descending. +#[must_use] +pub fn compute_token_weights( + tokens: &[String], + idf_map: Option<&HashMap>, +) -> Vec<(u64, i32)> { + // Count term frequencies + let mut tf: HashMap<&str, u32> = HashMap::new(); + for token in tokens { + *tf.entry(token.as_str()).or_default() += 1; + } + + // Compute weights: capped_tf * idf_bucket + let mut weighted: Vec<(u64, i32)> = tf + .into_iter() + .map(|(token, count)| { + let capped_tf = count.min(3) as f32; // Cap TF at 3 + let idf = idf_map + .and_then(|m| m.get(token)) + .copied() + .unwrap_or(1.0) + .max(0.1); // Default IDF = 1.0 + #[allow(clippy::cast_possible_truncation)] + let weight = (capped_tf * idf * 100.0) as i32; // Scale to integer + (hash_token(token), weight.max(1)) + }) + .collect(); + + // Sort by weight descending, then by hash for determinism + weighted.sort_by(|a, b| b.1.cmp(&a.1).then_with(|| a.0.cmp(&b.0))); + + weighted +} + +/// Extract top K term hashes by weight. +#[must_use] +pub fn extract_top_terms(weighted_tokens: &[(u64, i32)], k: usize) -> Vec { + weighted_tokens + .iter() + .take(k) + .map(|(h, _)| { + #[allow(clippy::cast_possible_truncation)] + let res = (*h ^ (*h >> 32)) as u32; + res + }) + .collect() +} + +// ============================================================================ +// Sketch Generation +// ============================================================================ + +/// Generate a complete sketch entry from text. +#[must_use] +pub fn generate_sketch( + frame_id: FrameId, + text: &str, + variant: SketchVariant, + idf_map: Option<&HashMap>, +) -> SketchEntry { + let tokens = tokenize_for_sketch(text); + let token_count = tokens.len(); + + if tokens.is_empty() { + let mut entry = SketchEntry::new(frame_id, variant); + entry.flags.set(SketchFlags::SHORT_TEXT); + return entry; + } + + let weighted = compute_token_weights(&tokens, idf_map); + + // Compute SimHash + let simhash = compute_simhash(&weighted); + + // Build term filter + let token_hashes: Vec = weighted.iter().map(|(h, _)| *h).collect(); + let term_filter = build_term_filter(&token_hashes, variant.term_filter_size()); + + // Extract top terms + let top_terms = extract_top_terms(&weighted, variant.top_terms_count()); + + // Compute weight sum + let term_weight_sum: u32 = weighted + .iter() + .take(variant.top_terms_count()) + .map(|(_, w)| *w as u32) + .sum(); + + // Length hint: bucket token count (0-255 = 0-2550 tokens in steps of 10) + #[allow(clippy::cast_possible_truncation)] + let length_hint = ((token_count / 10).min(255)) as u16; + + let mut flags = SketchFlags::all(); + if token_count < 50 { + flags.set(SketchFlags::SHORT_TEXT); + } + + #[allow(clippy::cast_possible_truncation)] + let term_weight_sum = term_weight_sum.min(u32::from(u16::MAX)) as u16; + + SketchEntry { + frame_id, + simhash, + term_filter, + top_terms, + term_weight_sum, + flags, + length_hint, + } +} + +// ============================================================================ +// Query Sketch +// ============================================================================ + +/// Sketch generated from a query for candidate matching. +#[derive(Debug, Clone)] +pub struct QuerySketch { + /// `SimHash` of the query. + pub simhash: u64, + /// Term filter for the query. + pub term_filter: Vec, + /// Top term hashes from the query. + pub top_terms: Vec, + /// Token count of the query. + pub token_count: usize, +} + +impl QuerySketch { + /// Build a query sketch from query text. + #[must_use] + pub fn from_query(query: &str, variant: SketchVariant) -> Self { + let tokens = tokenize_for_sketch(query); + let token_count = tokens.len(); + + if tokens.is_empty() { + return Self { + simhash: 0, + term_filter: vec![0u8; variant.term_filter_size()], + top_terms: Vec::new(), + token_count: 0, + }; + } + + let weighted = compute_token_weights(&tokens, None); + let simhash = compute_simhash(&weighted); + let token_hashes: Vec = weighted.iter().map(|(h, _)| *h).collect(); + let term_filter = build_term_filter(&token_hashes, variant.term_filter_size()); + let top_terms = extract_top_terms(&weighted, variant.top_terms_count()); + + Self { + simhash, + term_filter, + top_terms, + token_count, + } + } + + /// Score a sketch entry against this query. + /// Returns a score in [0.0, 1.0] where higher is better. + #[must_use] + pub fn score_entry(&self, entry: &SketchEntry, hamming_threshold: u32) -> Option { + // Check term filter overlap first (fast rejection) + if !entry.term_filter_maybe_overlaps(&self.term_filter) { + return None; + } + + // Check SimHash Hamming distance + let hamming = entry.hamming_distance(self.simhash); + if hamming > hamming_threshold { + return None; + } + + // Compute score from multiple signals + let w_term = 0.5f32; + let w_sim = 0.4f32; + let w_len = 0.1f32; + + // Top term overlap score + let term_overlap = entry.count_matching_top_terms(&self.top_terms) as f32; + let max_terms = self.top_terms.len().max(1) as f32; + let term_score = term_overlap / max_terms; + + // SimHash similarity score (inverse of normalized Hamming) + let sim_score = 1.0 - (hamming as f32 / 64.0); + + // Length compatibility (penalize very different lengths) + let query_len_bucket = ((self.token_count / 10).min(255)) as f32; + let entry_len_bucket = f32::from(entry.length_hint); + let len_diff = (query_len_bucket - entry_len_bucket).abs(); + let len_score = 1.0 / (1.0 + len_diff * 0.1); + + let score = w_term * term_score + w_sim * sim_score + w_len * len_score; + Some(score) + } +} + +// ============================================================================ +// Sketch Track (Collection of Entries) +// ============================================================================ + +/// In-memory representation of a sketch track. +#[derive(Debug, Clone)] +pub struct SketchTrack { + /// Sketch variant used. + pub variant: SketchVariant, + /// Sketch entries indexed by frame ID. + entries: HashMap, + /// Ordered list of frame IDs for sequential scanning. + frame_order: Vec, +} + +impl Default for SketchTrack { + fn default() -> Self { + Self::new(SketchVariant::Small) + } +} + +impl SketchTrack { + /// Create a new empty sketch track. + #[must_use] + pub fn new(variant: SketchVariant) -> Self { + Self { + variant, + entries: HashMap::new(), + frame_order: Vec::new(), + } + } + + /// Add or update a sketch entry. + pub fn insert(&mut self, entry: SketchEntry) { + let frame_id = entry.frame_id; + if !self.entries.contains_key(&frame_id) { + self.frame_order.push(frame_id); + } + self.entries.insert(frame_id, entry); + } + + /// Get a sketch entry by frame ID. + #[must_use] + pub fn get(&self, frame_id: FrameId) -> Option<&SketchEntry> { + self.entries.get(&frame_id) + } + + /// Get the number of entries. + #[must_use] + pub fn len(&self) -> usize { + self.entries.len() + } + + /// Check if empty. + #[must_use] + pub fn is_empty(&self) -> bool { + self.entries.is_empty() + } + + /// Iterate over entries in frame order. + pub fn iter(&self) -> impl Iterator { + self.frame_order + .iter() + .filter_map(|id| self.entries.get(id)) + } + + /// Find candidate frames matching a query. + /// + /// Returns (`frame_id`, score) pairs sorted by score descending. + #[must_use] + pub fn find_candidates( + &self, + query: &QuerySketch, + hamming_threshold: u32, + max_candidates: usize, + ) -> Vec<(FrameId, f32)> { + let mut candidates: Vec<(FrameId, f32)> = self + .iter() + .filter_map(|entry| { + query + .score_entry(entry, hamming_threshold) + .map(|score| (entry.frame_id, score)) + }) + .collect(); + + // Sort by score descending + candidates.sort_by(|a, b| b.1.partial_cmp(&a.1).unwrap_or(std::cmp::Ordering::Equal)); + + // Limit to max_candidates + candidates.truncate(max_candidates); + + candidates + } + + /// Get statistics about the track. + #[must_use] + pub fn stats(&self) -> SketchTrackStats { + let entry_count = self.entries.len() as u64; + let size_bytes = entry_count * self.variant.entry_size() as u64; + let short_text_count = self + .entries + .values() + .filter(|e| e.flags.has(SketchFlags::SHORT_TEXT)) + .count() as u64; + + SketchTrackStats { + variant: self.variant, + entry_count, + size_bytes, + short_text_count, + } + } +} + +/// Statistics about a sketch track. +#[derive(Debug, Clone)] +pub struct SketchTrackStats { + /// Variant used. + pub variant: SketchVariant, + /// Number of entries. + pub entry_count: u64, + /// Size in bytes. + pub size_bytes: u64, + /// Number of entries marked as short text. + pub short_text_count: u64, +} + +// ============================================================================ +// Binary IO +// ============================================================================ + +/// Header for the sketch track binary format. +#[derive(Debug, Clone, Copy)] +pub struct SketchTrackHeader { + /// Magic bytes (MVSK). + pub magic: [u8; 4], + /// Format version. + pub version: u16, + /// Entry size in bytes. + pub entry_size: u16, + /// Number of entries. + pub entry_count: u64, + /// Feature flags. + pub flags: u32, + /// Reserved for future use. + pub reserved: u32, +} + +impl SketchTrackHeader { + /// Header size in bytes. + pub const SIZE: usize = 4 + 2 + 2 + 8 + 4 + 4; // 24 bytes + + /// Create a new header. + #[must_use] + pub fn new(variant: SketchVariant, entry_count: u64) -> Self { + #[allow(clippy::cast_possible_truncation)] + let entry_size = variant.entry_size() as u16; + + Self { + magic: SKETCH_TRACK_MAGIC, + version: SKETCH_TRACK_VERSION, + entry_size, + entry_count, + flags: 0, + reserved: 0, + } + } + + /// Serialize header to bytes. + #[must_use] + pub fn to_bytes(&self) -> [u8; Self::SIZE] { + let mut buf = [0u8; Self::SIZE]; + buf[0..4].copy_from_slice(&self.magic); + buf[4..6].copy_from_slice(&self.version.to_le_bytes()); + buf[6..8].copy_from_slice(&self.entry_size.to_le_bytes()); + buf[8..16].copy_from_slice(&self.entry_count.to_le_bytes()); + buf[16..20].copy_from_slice(&self.flags.to_le_bytes()); + buf[20..24].copy_from_slice(&self.reserved.to_le_bytes()); + buf + } + + /// Deserialize header from bytes. + pub fn from_bytes(buf: &[u8; Self::SIZE]) -> Result { + let mut magic = [0u8; 4]; + magic.copy_from_slice(&buf[0..4]); + + if magic != SKETCH_TRACK_MAGIC { + return Err(MemvidError::InvalidSketchTrack { + reason: "Invalid sketch track magic".into(), + }); + } + + Ok(Self { + magic, + version: read_u16_le(buf, 4), + entry_size: read_u16_le(buf, 6), + entry_count: read_u64_le(buf, 8), + flags: read_u32_le(buf, 16), + reserved: read_u32_le(buf, 20), + }) + } + + /// Get the variant from entry size. + #[must_use] + pub fn variant(&self) -> Option { + match self.entry_size as usize { + ENTRY_SIZE_SMALL => Some(SketchVariant::Small), + ENTRY_SIZE_MEDIUM => Some(SketchVariant::Medium), + ENTRY_SIZE_LARGE => Some(SketchVariant::Large), + _ => None, + } + } +} + +/// Write a sketch track to a writer, returning (offset, length, checksum). +pub fn write_sketch_track( + writer: &mut W, + track: &SketchTrack, +) -> Result<(u64, u64, [u8; 32])> { + let offset = writer.stream_position()?; + let mut hasher = Hasher::new(); + + // Write header + let header = SketchTrackHeader::new(track.variant, track.len() as u64); + let header_bytes = header.to_bytes(); + writer.write_all(&header_bytes)?; + hasher.update(&header_bytes); + + // Write entries in frame order + for entry in track.iter() { + let entry_bytes = match track.variant { + SketchVariant::Small => entry.to_small_bytes().to_vec(), + SketchVariant::Medium => entry.to_medium_bytes().to_vec(), + SketchVariant::Large => { + // Large variant not fully implemented yet, use medium + let mut buf = entry.to_medium_bytes().to_vec(); + buf.resize(ENTRY_SIZE_LARGE, 0); + buf + } + }; + writer.write_all(&entry_bytes)?; + hasher.update(&entry_bytes); + } + + let end = writer.stream_position()?; + let length = end - offset; + let checksum = *hasher.finalize().as_bytes(); + + Ok((offset, length, checksum)) +} + +/// Read a sketch track from a reader. +pub fn read_sketch_track( + reader: &mut R, + offset: u64, + length: u64, +) -> Result { + reader.seek(SeekFrom::Start(offset))?; + + // Read header + let mut header_buf = [0u8; SketchTrackHeader::SIZE]; + reader.read_exact(&mut header_buf)?; + let header = SketchTrackHeader::from_bytes(&header_buf)?; + + let variant = header + .variant() + .ok_or_else(|| MemvidError::InvalidSketchTrack { + reason: format!("Unknown sketch entry size: {}", header.entry_size).into(), + })?; + + // Validate length + let expected_length = + SketchTrackHeader::SIZE as u64 + header.entry_count * u64::from(header.entry_size); + if length < expected_length { + return Err(MemvidError::InvalidSketchTrack { + reason: format!("Sketch track length {length} less than expected {expected_length}") + .into(), + }); + } + + // Read entries + let mut track = SketchTrack::new(variant); + + for frame_id in 0..header.entry_count { + let entry = match variant { + SketchVariant::Small => { + let mut buf = [0u8; ENTRY_SIZE_SMALL]; + reader.read_exact(&mut buf)?; + SketchEntry::from_small_bytes(frame_id, &buf) + } + SketchVariant::Medium => { + let mut buf = [0u8; ENTRY_SIZE_MEDIUM]; + reader.read_exact(&mut buf)?; + SketchEntry::from_medium_bytes(frame_id, &buf) + } + SketchVariant::Large => { + // Read as medium + skip extra bytes + let mut buf = [0u8; ENTRY_SIZE_MEDIUM]; + reader.read_exact(&mut buf)?; + let mut skip = [0u8; ENTRY_SIZE_LARGE - ENTRY_SIZE_MEDIUM]; + reader.read_exact(&mut skip)?; + SketchEntry::from_medium_bytes(frame_id, &buf) + } + }; + track.insert(entry); + } + + Ok(track) +} + +// ============================================================================ +// Tests +// ============================================================================ + +#[cfg(test)] +mod tests { + use super::*; + use std::io::Cursor; + + #[test] + fn test_simhash_similar_texts() { + let text1 = "the quick brown fox jumps over the lazy dog"; + let text2 = "the quick brown fox leaps over the lazy dog"; + let text3 = "completely different text about something else"; + + let tokens1 = tokenize_for_sketch(text1); + let tokens2 = tokenize_for_sketch(text2); + let tokens3 = tokenize_for_sketch(text3); + + let weighted1 = compute_token_weights(&tokens1, None); + let weighted2 = compute_token_weights(&tokens2, None); + let weighted3 = compute_token_weights(&tokens3, None); + + let hash1 = compute_simhash(&weighted1); + let hash2 = compute_simhash(&weighted2); + let hash3 = compute_simhash(&weighted3); + + let dist_similar = (hash1 ^ hash2).count_ones(); + let dist_different = (hash1 ^ hash3).count_ones(); + + // Similar texts should have smaller Hamming distance + assert!( + dist_similar < dist_different, + "Similar texts should have smaller Hamming distance: {} vs {}", + dist_similar, + dist_different + ); + } + + #[test] + fn test_term_filter() { + let tokens = ["hello", "world", "test"]; + let hashes: Vec = tokens.iter().map(|t| hash_token(t)).collect(); + let filter = build_term_filter(&hashes, 16); + + // All tokens should maybe be in filter + for &hash in &hashes { + assert!(term_filter_maybe_contains(&filter, hash)); + } + + // Unknown token might or might not be in filter (false positives allowed) + let unknown_hash = hash_token("unknown_xyz_123"); + // We can't assert it's NOT in the filter due to false positives + let _ = term_filter_maybe_contains(&filter, unknown_hash); + } + + #[test] + fn test_sketch_entry_roundtrip() { + let entry = generate_sketch( + 42, + "This is a test document with some content for sketching", + SketchVariant::Small, + None, + ); + + let bytes = entry.to_small_bytes(); + let recovered = SketchEntry::from_small_bytes(42, &bytes); + + assert_eq!(entry.simhash, recovered.simhash); + assert_eq!(entry.term_filter, recovered.term_filter); + assert_eq!(entry.top_terms, recovered.top_terms); + } + + #[test] + fn test_sketch_track_io() { + let mut track = SketchTrack::new(SketchVariant::Small); + + track.insert(generate_sketch( + 0, + "first document about cats", + SketchVariant::Small, + None, + )); + track.insert(generate_sketch( + 1, + "second document about dogs", + SketchVariant::Small, + None, + )); + track.insert(generate_sketch( + 2, + "third document about birds", + SketchVariant::Small, + None, + )); + + // Write to buffer + let mut buffer = Cursor::new(Vec::new()); + let (offset, length, _checksum) = write_sketch_track(&mut buffer, &track).unwrap(); + + // Read back + let recovered = read_sketch_track(&mut buffer, offset, length).unwrap(); + + assert_eq!(track.len(), recovered.len()); + assert_eq!(track.variant, recovered.variant); + } + + #[test] + fn test_query_sketch_candidates() { + let mut track = SketchTrack::new(SketchVariant::Small); + + // Add documents with more tokens for better overlap + track.insert(generate_sketch( + 0, + "cats are wonderful pets that love to sleep and play", + SketchVariant::Small, + None, + )); + track.insert(generate_sketch( + 1, + "dogs are loyal companions for families and children", + SketchVariant::Small, + None, + )); + track.insert(generate_sketch( + 2, + "cats and dogs can live together as pets in harmony", + SketchVariant::Small, + None, + )); + track.insert(generate_sketch( + 3, + "programming in rust language provides memory safety", + SketchVariant::Small, + None, + )); + + // Query using phrase with common terms + let query = QuerySketch::from_query("cats wonderful pets love", SketchVariant::Small); + + // Use a relaxed hamming threshold (32 = half of 64 bits) since SimHash + // can vary significantly with small text differences + let candidates = track.find_candidates(&query, 32, 10); + + // Should find at least some candidates with relaxed threshold + // The sketch is optimized for approximate matching, not exact + assert!( + !candidates.is_empty() || !track.is_empty(), + "Track should have entries" + ); + } +} diff --git a/src/types/structure.rs b/src/types/structure.rs new file mode 100644 index 0000000..9412b8d --- /dev/null +++ b/src/types/structure.rs @@ -0,0 +1,892 @@ +//! Structured document types for intelligent chunking. +//! +//! This module defines types for representing document structure, enabling +//! structure-aware chunking that preserves semantic units like tables, code +//! blocks, and sections. +//! +//! # Problem +//! +//! Naive text chunking splits documents by character/token count without +//! understanding structure. This causes: +//! - Tables split mid-row, losing header context +//! - Code blocks split mid-function +//! - Lists fragmented across chunks +//! +//! # Solution +//! +//! We extract document structure first, then chunk respecting boundaries: +//! - Tables: Keep whole or split between rows with header propagation +//! - Code: Keep whole or split at function/block boundaries +//! - Sections: Include header context with content chunks +//! +//! # Example +//! +//! ```ignore +//! use memvid_core::types::structure::*; +//! +//! let doc = StructuredDocument::parse(text); +//! let chunks = StructuralChunker::new(1200).chunk(&doc); +//! +//! for chunk in chunks { +//! match chunk.chunk_type { +//! ChunkType::Table => println!("Table chunk with {} rows", chunk.row_count), +//! ChunkType::TableContinuation => println!("Table part {}/{}", chunk.part, chunk.total), +//! _ => println!("Content chunk"), +//! } +//! } +//! ``` + +use serde::{Deserialize, Serialize}; +use std::fmt; + +/// Type of document element detected during structure analysis. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize, Default)] +#[serde(rename_all = "snake_case")] +pub enum ElementType { + /// Regular paragraph text + #[default] + Paragraph, + /// Table with rows and columns + Table, + /// Fenced or indented code block + CodeBlock, + /// Ordered or unordered list + List, + /// Section heading (h1-h6) + Heading, + /// Block quote + BlockQuote, + /// Horizontal rule / separator + Separator, + /// Raw/unknown content + Raw, +} + +impl fmt::Display for ElementType { + fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { + match self { + Self::Paragraph => write!(f, "paragraph"), + Self::Table => write!(f, "table"), + Self::CodeBlock => write!(f, "code_block"), + Self::List => write!(f, "list"), + Self::Heading => write!(f, "heading"), + Self::BlockQuote => write!(f, "block_quote"), + Self::Separator => write!(f, "separator"), + Self::Raw => write!(f, "raw"), + } + } +} + +/// Type of chunk produced by structural chunking. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize, Default)] +#[serde(rename_all = "snake_case")] +pub enum ChunkType { + /// Regular text chunk (may contain multiple paragraphs) + #[default] + Text, + /// Complete table (fits in one chunk) + Table, + /// Table continuation with header prepended + TableContinuation, + /// Complete code block + CodeBlock, + /// Code block continuation + CodeBlockContinuation, + /// List (complete or partial) + List, + /// Section heading with following content + Section, + /// Mixed content (fallback) + Mixed, +} + +impl fmt::Display for ChunkType { + fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { + match self { + Self::Text => write!(f, "text"), + Self::Table => write!(f, "table"), + Self::TableContinuation => write!(f, "table_continuation"), + Self::CodeBlock => write!(f, "code_block"), + Self::CodeBlockContinuation => write!(f, "code_block_continuation"), + Self::List => write!(f, "list"), + Self::Section => write!(f, "section"), + Self::Mixed => write!(f, "mixed"), + } + } +} + +/// A table cell with optional span information. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct StructuredCell { + /// Text content of the cell + pub text: String, + /// Column index (0-based) + pub col: usize, + /// Row span (default 1) + #[serde(default = "default_span")] + pub row_span: usize, + /// Column span (default 1) + #[serde(default = "default_span")] + pub col_span: usize, +} + +fn default_span() -> usize { + 1 +} + +impl StructuredCell { + /// Create a simple cell with text content. + pub fn new(text: impl Into, col: usize) -> Self { + Self { + text: text.into(), + col, + row_span: 1, + col_span: 1, + } + } +} + +/// A table row containing cells. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct StructuredRow { + /// Row index (0-based) + pub row: usize, + /// Cells in this row + pub cells: Vec, + /// Whether this is a header row + #[serde(default)] + pub is_header: bool, +} + +impl StructuredRow { + /// Create a new row with cells. + #[must_use] + pub fn new(row: usize, cells: Vec) -> Self { + Self { + row, + cells, + is_header: false, + } + } + + /// Mark as header row. + #[must_use] + pub fn as_header(mut self) -> Self { + self.is_header = true; + self + } + + /// Get cell texts as a vector. + #[must_use] + pub fn cell_texts(&self) -> Vec<&str> { + self.cells.iter().map(|c| c.text.as_str()).collect() + } +} + +/// A structured table extracted from document. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct StructuredTable { + /// Unique identifier for this table + pub id: String, + /// Column headers (may be empty if no header row detected) + pub headers: Vec, + /// All rows including header row + pub rows: Vec, + /// Number of columns + pub n_cols: usize, + /// Original text representation (markdown/ASCII) + pub raw_text: String, + /// Caption if detected + pub caption: Option, +} + +impl StructuredTable { + /// Create a new table with ID. + pub fn new(id: impl Into) -> Self { + Self { + id: id.into(), + headers: Vec::new(), + rows: Vec::new(), + n_cols: 0, + raw_text: String::new(), + caption: None, + } + } + + /// Get data rows (excluding header rows). + pub fn data_rows(&self) -> impl Iterator { + self.rows.iter().filter(|r| !r.is_header) + } + + /// Get number of data rows. + #[must_use] + pub fn data_row_count(&self) -> usize { + self.rows.iter().filter(|r| !r.is_header).count() + } + + /// Format headers as markdown table header. + #[must_use] + pub fn format_header(&self) -> String { + if self.headers.is_empty() { + return String::new(); + } + let header_row = format!("| {} |", self.headers.join(" | ")); + let separator = format!( + "|{}|", + self.headers + .iter() + .map(|_| "---") + .collect::>() + .join("|") + ); + format!("{header_row}\n{separator}") + } + + /// Format a row as markdown. + #[must_use] + pub fn format_row(&self, row: &StructuredRow) -> String { + let cells: Vec<&str> = row.cells.iter().map(|c| c.text.as_str()).collect(); + format!("| {} |", cells.join(" | ")) + } + + /// Estimate character count. + #[must_use] + pub fn char_count(&self) -> usize { + self.raw_text.chars().count() + } +} + +/// A code block with language info. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct StructuredCodeBlock { + /// Programming language (if specified) + pub language: Option, + /// Code content + pub content: String, + /// Whether this is indented code (vs fenced) + #[serde(default)] + pub is_indented: bool, +} + +impl StructuredCodeBlock { + /// Create a new code block. + pub fn new(content: impl Into) -> Self { + Self { + language: None, + content: content.into(), + is_indented: false, + } + } + + /// Set language. + pub fn with_language(mut self, lang: impl Into) -> Self { + self.language = Some(lang.into()); + self + } + + /// Format as fenced code block. + #[must_use] + pub fn format(&self) -> String { + let fence = "```"; + let lang = self.language.as_deref().unwrap_or(""); + format!("{}{}\n{}\n{}", fence, lang, self.content, fence) + } + + /// Estimate character count. + #[must_use] + pub fn char_count(&self) -> usize { + self.content.chars().count() + 10 // fences + language + } +} + +/// A list with items. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct StructuredList { + /// Whether this is an ordered list + pub ordered: bool, + /// List items (may contain nested content) + pub items: Vec, + /// Starting number for ordered lists + #[serde(default = "default_start")] + pub start: usize, +} + +fn default_start() -> usize { + 1 +} + +impl StructuredList { + /// Create a new unordered list. + #[must_use] + pub fn unordered(items: Vec) -> Self { + Self { + ordered: false, + items, + start: 1, + } + } + + /// Create a new ordered list. + #[must_use] + pub fn ordered(items: Vec) -> Self { + Self { + ordered: true, + items, + start: 1, + } + } + + /// Format as markdown list. + #[must_use] + pub fn format(&self) -> String { + self.items + .iter() + .enumerate() + .map(|(i, item)| { + if self.ordered { + format!("{}. {}", self.start + i, item) + } else { + format!("- {item}") + } + }) + .collect::>() + .join("\n") + } + + /// Estimate character count. + #[must_use] + pub fn char_count(&self) -> usize { + self.items.iter().map(|s| s.chars().count() + 3).sum() + } +} + +/// A section heading. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct StructuredHeading { + /// Heading level (1-6) + pub level: u8, + /// Heading text + pub text: String, +} + +impl StructuredHeading { + /// Create a new heading. + pub fn new(level: u8, text: impl Into) -> Self { + Self { + level: level.min(6).max(1), + text: text.into(), + } + } + + /// Format as markdown heading. + #[must_use] + pub fn format(&self) -> String { + format!("{} {}", "#".repeat(self.level as usize), self.text) + } +} + +/// A document element with position information. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct DocumentElement { + /// Type of element + pub element_type: ElementType, + /// Character offset where element starts + pub char_start: usize, + /// Character offset where element ends + pub char_end: usize, + /// Element-specific data + pub data: ElementData, +} + +/// Element-specific data. +#[derive(Debug, Clone, Serialize, Deserialize)] +#[serde(tag = "type", rename_all = "snake_case")] +pub enum ElementData { + /// Paragraph text + Paragraph { text: String }, + /// Structured table + Table(StructuredTable), + /// Code block + CodeBlock(StructuredCodeBlock), + /// List + List(StructuredList), + /// Heading + Heading(StructuredHeading), + /// Block quote + BlockQuote { text: String }, + /// Separator + Separator, + /// Raw content + Raw { text: String }, +} + +impl DocumentElement { + /// Create a paragraph element. + pub fn paragraph(text: impl Into, char_start: usize, char_end: usize) -> Self { + let text = text.into(); + Self { + element_type: ElementType::Paragraph, + char_start, + char_end, + data: ElementData::Paragraph { text }, + } + } + + /// Create a table element. + #[must_use] + pub fn table(table: StructuredTable, char_start: usize, char_end: usize) -> Self { + Self { + element_type: ElementType::Table, + char_start, + char_end, + data: ElementData::Table(table), + } + } + + /// Create a code block element. + #[must_use] + pub fn code_block(block: StructuredCodeBlock, char_start: usize, char_end: usize) -> Self { + Self { + element_type: ElementType::CodeBlock, + char_start, + char_end, + data: ElementData::CodeBlock(block), + } + } + + /// Create a list element. + #[must_use] + pub fn list(list: StructuredList, char_start: usize, char_end: usize) -> Self { + Self { + element_type: ElementType::List, + char_start, + char_end, + data: ElementData::List(list), + } + } + + /// Create a heading element. + #[must_use] + pub fn heading(heading: StructuredHeading, char_start: usize, char_end: usize) -> Self { + Self { + element_type: ElementType::Heading, + char_start, + char_end, + data: ElementData::Heading(heading), + } + } + + /// Get element text content. + #[must_use] + pub fn text(&self) -> String { + match &self.data { + ElementData::Paragraph { text } => text.clone(), + ElementData::Table(t) => t.raw_text.clone(), + ElementData::CodeBlock(c) => c.format(), + ElementData::List(l) => l.format(), + ElementData::Heading(h) => h.format(), + ElementData::BlockQuote { text } => text.clone(), + ElementData::Separator => "---".to_string(), + ElementData::Raw { text } => text.clone(), + } + } + + /// Get element character count. + #[must_use] + pub fn char_count(&self) -> usize { + self.char_end.saturating_sub(self.char_start) + } + + /// Check if this is a table element. + #[must_use] + pub fn is_table(&self) -> bool { + self.element_type == ElementType::Table + } + + /// Get table data if this is a table element. + #[must_use] + pub fn as_table(&self) -> Option<&StructuredTable> { + match &self.data { + ElementData::Table(t) => Some(t), + _ => None, + } + } + + /// Get mutable table data if this is a table element. + pub fn as_table_mut(&mut self) -> Option<&mut StructuredTable> { + match &mut self.data { + ElementData::Table(t) => Some(t), + _ => None, + } + } +} + +/// A document with extracted structure. +#[derive(Debug, Clone, Default, Serialize, Deserialize)] +pub struct StructuredDocument { + /// Detected elements in document order + pub elements: Vec, + /// Original raw text (for fallback) + pub raw_text: String, + /// Source filename + pub source: Option, + /// Total character count + pub total_chars: usize, + /// Number of tables detected + pub table_count: usize, + /// Number of code blocks detected + pub code_block_count: usize, +} + +impl StructuredDocument { + /// Create a new empty structured document. + #[must_use] + pub fn new() -> Self { + Self::default() + } + + /// Create from raw text (will be parsed for structure). + pub fn from_text(text: impl Into) -> Self { + let raw_text = text.into(); + let total_chars = raw_text.chars().count(); + Self { + elements: Vec::new(), + raw_text, + source: None, + total_chars, + table_count: 0, + code_block_count: 0, + } + } + + /// Set source filename. + pub fn with_source(mut self, source: impl Into) -> Self { + self.source = Some(source.into()); + self + } + + /// Add an element. + pub fn add_element(&mut self, element: DocumentElement) { + match element.element_type { + ElementType::Table => self.table_count += 1, + ElementType::CodeBlock => self.code_block_count += 1, + _ => {} + } + self.elements.push(element); + } + + /// Get all tables in document. + pub fn tables(&self) -> impl Iterator { + self.elements.iter().filter_map(|e| e.as_table()) + } + + /// Check if document has any structure (vs plain text). + #[must_use] + pub fn has_structure(&self) -> bool { + self.table_count > 0 || self.code_block_count > 0 + } + + /// Update counts after modification. + pub fn update_counts(&mut self) { + self.table_count = self.elements.iter().filter(|e| e.is_table()).count(); + self.code_block_count = self + .elements + .iter() + .filter(|e| e.element_type == ElementType::CodeBlock) + .count(); + self.total_chars = self.raw_text.chars().count(); + } +} + +/// A chunk produced by structural chunking. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct StructuredChunk { + /// Text content of the chunk + pub text: String, + /// Type of chunk + pub chunk_type: ChunkType, + /// Index in chunk sequence (0-based) + pub index: usize, + /// Source element ID (for tables, code blocks) + pub element_id: Option, + /// Part number if split from larger element (1-based) + pub part: Option, + /// Total parts if split from larger element + pub total_parts: Option, + /// Context header (e.g., table headers for continuation chunks) + pub context: Option, + /// Character offset in original document + pub char_start: usize, + /// Character end offset + pub char_end: usize, +} + +impl StructuredChunk { + /// Create a new text chunk. + pub fn text(text: impl Into, index: usize, char_start: usize, char_end: usize) -> Self { + Self { + text: text.into(), + chunk_type: ChunkType::Text, + index, + element_id: None, + part: None, + total_parts: None, + context: None, + char_start, + char_end, + } + } + + /// Create a table chunk. + pub fn table( + text: impl Into, + index: usize, + table_id: impl Into, + char_start: usize, + char_end: usize, + ) -> Self { + Self { + text: text.into(), + chunk_type: ChunkType::Table, + index, + element_id: Some(table_id.into()), + part: None, + total_parts: None, + context: None, + char_start, + char_end, + } + } + + /// Create a table continuation chunk. + pub fn table_continuation( + text: impl Into, + index: usize, + table_id: impl Into, + part: u32, + total_parts: u32, + header_context: impl Into, + char_start: usize, + char_end: usize, + ) -> Self { + Self { + text: text.into(), + chunk_type: ChunkType::TableContinuation, + index, + element_id: Some(table_id.into()), + part: Some(part), + total_parts: Some(total_parts), + context: Some(header_context.into()), + char_start, + char_end, + } + } + + /// Check if this is a table-related chunk. + #[must_use] + pub fn is_table(&self) -> bool { + matches!( + self.chunk_type, + ChunkType::Table | ChunkType::TableContinuation + ) + } + + /// Check if this is a continuation of a split element. + #[must_use] + pub fn is_continuation(&self) -> bool { + self.part.is_some_and(|p| p > 1) + } + + /// Get character count. + #[must_use] + pub fn char_count(&self) -> usize { + self.text.chars().count() + } +} + +/// Options for structural chunking. +#[derive(Debug, Clone)] +pub struct ChunkingOptions { + /// Maximum characters per chunk + pub max_chars: usize, + /// How to handle tables + pub table_handling: TableChunkingStrategy, + /// How to handle code blocks + pub code_handling: CodeChunkingStrategy, + /// Whether to preserve list structure + pub preserve_lists: bool, + /// Include section headers with content + pub include_section_headers: bool, + /// Overlap between chunks (for context) + pub overlap_chars: usize, +} + +impl Default for ChunkingOptions { + fn default() -> Self { + Self { + max_chars: 1200, + table_handling: TableChunkingStrategy::SplitWithHeader, + code_handling: CodeChunkingStrategy::PreserveWhole, + preserve_lists: true, + include_section_headers: true, + overlap_chars: 0, + } + } +} + +/// Strategy for chunking tables. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Default)] +pub enum TableChunkingStrategy { + /// Keep entire table in one chunk (may exceed `max_chars`) + PreserveWhole, + /// Split table between rows, prepend header to each chunk + #[default] + SplitWithHeader, + /// Naive splitting (not recommended) + Naive, +} + +/// Strategy for chunking code blocks. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Default)] +pub enum CodeChunkingStrategy { + /// Keep entire code block in one chunk (may exceed `max_chars`) + #[default] + PreserveWhole, + /// Split at function/block boundaries (if detectable) + SplitAtBoundaries, + /// Naive splitting with overlap + SplitWithOverlap, +} + +/// Result of structural chunking. +#[derive(Debug, Clone, Default)] +pub struct ChunkingResult { + /// Produced chunks + pub chunks: Vec, + /// Number of tables processed + pub tables_processed: usize, + /// Number of tables that were split + pub tables_split: usize, + /// Number of code blocks processed + pub code_blocks_processed: usize, + /// Warnings during chunking + pub warnings: Vec, +} + +impl ChunkingResult { + /// Create empty result. + #[must_use] + pub fn empty() -> Self { + Self::default() + } + + /// Total chunks produced. + #[must_use] + pub fn chunk_count(&self) -> usize { + self.chunks.len() + } + + /// Add a warning. + pub fn warn(&mut self, msg: impl Into) { + self.warnings.push(msg.into()); + } +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_structured_table_creation() { + let mut table = StructuredTable::new("tbl_001"); + table.headers = vec!["Name".to_string(), "Age".to_string()]; + table.n_cols = 2; + + let row = StructuredRow::new( + 0, + vec![ + StructuredCell::new("Alice", 0), + StructuredCell::new("30", 1), + ], + ); + table.rows.push(row); + + assert_eq!(table.data_row_count(), 1); + assert!(table.format_header().contains("Name")); + } + + #[test] + fn test_structured_chunk_types() { + let text_chunk = StructuredChunk::text("Hello world", 0, 0, 11); + assert!(!text_chunk.is_table()); + assert!(!text_chunk.is_continuation()); + + let table_chunk = StructuredChunk::table_continuation( + "| A | B |", + 1, + "tbl_001", + 2, + 3, + "| Col1 | Col2 |", + 100, + 150, + ); + assert!(table_chunk.is_table()); + assert!(table_chunk.is_continuation()); + assert_eq!(table_chunk.part, Some(2)); + assert_eq!(table_chunk.total_parts, Some(3)); + } + + #[test] + fn test_document_element() { + let para = DocumentElement::paragraph("Test paragraph", 0, 14); + assert_eq!(para.element_type, ElementType::Paragraph); + assert_eq!(para.char_count(), 14); + + let table = StructuredTable::new("t1"); + let table_elem = DocumentElement::table(table, 0, 100); + assert!(table_elem.is_table()); + assert!(table_elem.as_table().is_some()); + } + + #[test] + fn test_structured_document() { + let mut doc = StructuredDocument::from_text("Hello\n\n| A | B |\n|---|---|\n| 1 | 2 |"); + doc.add_element(DocumentElement::paragraph("Hello", 0, 5)); + + let mut table = StructuredTable::new("t1"); + table.headers = vec!["A".to_string(), "B".to_string()]; + doc.add_element(DocumentElement::table(table, 7, 35)); + + assert!(doc.has_structure()); + assert_eq!(doc.table_count, 1); + assert_eq!(doc.tables().count(), 1); + } + + #[test] + fn test_code_block_formatting() { + let block = StructuredCodeBlock::new("fn main() {}").with_language("rust"); + + let formatted = block.format(); + assert!(formatted.contains("```rust")); + assert!(formatted.contains("fn main()")); + } + + #[test] + fn test_list_formatting() { + let unordered = StructuredList::unordered(vec!["Item 1".to_string(), "Item 2".to_string()]); + assert!(unordered.format().contains("- Item 1")); + + let ordered = StructuredList::ordered(vec!["First".to_string(), "Second".to_string()]); + assert!(ordered.format().contains("1. First")); + assert!(ordered.format().contains("2. Second")); + } + + #[test] + fn test_chunking_options_default() { + let opts = ChunkingOptions::default(); + assert_eq!(opts.max_chars, 1200); + assert_eq!(opts.table_handling, TableChunkingStrategy::SplitWithHeader); + assert!(opts.preserve_lists); + } +} diff --git a/src/types/temporal.rs b/src/types/temporal.rs new file mode 100644 index 0000000..77df177 --- /dev/null +++ b/src/types/temporal.rs @@ -0,0 +1,203 @@ +//! Temporal mention primitives (feature-gated by `temporal_track`). + +use serde::{Deserialize, Serialize}; + +use super::{common::FrameId, frame::AnchorSource}; + +/// Bit flag indicating the temporal track stores per-frame anchors. +pub const TEMPORAL_TRACK_FLAG_HAS_ANCHORS: u32 = 0b0000_0001; +/// Bit flag indicating the temporal track stores normalised mentions. +pub const TEMPORAL_TRACK_FLAG_HAS_MENTIONS: u32 = 0b0000_0010; + +/// Distinguishes the category of a temporal mention. +#[derive(Debug, Clone, Copy, Serialize, Deserialize, PartialEq, Eq)] +#[serde(rename_all = "snake_case")] +pub enum TemporalMentionKind { + Date, + DateTime, + RangeStart, + RangeEnd, + Recurring, + Approximate, +} + +impl TemporalMentionKind { + #[must_use] + pub fn to_u8(self) -> u8 { + match self { + Self::Date => 0, + Self::DateTime => 1, + Self::RangeStart => 2, + Self::RangeEnd => 3, + Self::Recurring => 4, + Self::Approximate => 5, + } + } + + #[must_use] + pub fn from_u8(value: u8) -> Option { + match value { + 0 => Some(Self::Date), + 1 => Some(Self::DateTime), + 2 => Some(Self::RangeStart), + 3 => Some(Self::RangeEnd), + 4 => Some(Self::Recurring), + 5 => Some(Self::Approximate), + _ => None, + } + } +} + +/// Bitflags describing additional mention semantics. +#[derive(Debug, Clone, Copy, Serialize, Deserialize, PartialEq, Eq)] +pub struct TemporalMentionFlags(pub u8); + +impl TemporalMentionFlags { + pub const HAS_RANGE: u8 = 0b0000_0001; + pub const DERIVED: u8 = 0b0000_0010; + pub const AMBIGUOUS: u8 = 0b0000_0100; + pub const LOW_CONFIDENCE: u8 = 0b0000_1000; + + #[must_use] + pub fn empty() -> Self { + Self(0) + } + + #[must_use] + pub fn contains(self, flag: u8) -> bool { + (self.0 & flag) != 0 + } + + #[must_use] + pub fn set(mut self, flag: u8, enabled: bool) -> Self { + if enabled { + self.0 |= flag; + } else { + self.0 &= !flag; + } + self + } +} + +/// Canonical representation of a single mention tied to a frame. +#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)] +pub struct TemporalMention { + pub ts_utc: i64, + pub frame_id: FrameId, + pub byte_start: u32, + pub byte_len: u32, + pub kind: TemporalMentionKind, + pub confidence: u16, + pub tz_hint_minutes: i16, + pub flags: TemporalMentionFlags, +} + +impl TemporalMention { + #[must_use] + #[allow(clippy::too_many_arguments)] + pub fn new( + ts_utc: i64, + frame_id: FrameId, + byte_start: u32, + byte_len: u32, + kind: TemporalMentionKind, + confidence: u16, + tz_hint_minutes: i16, + flags: TemporalMentionFlags, + ) -> Self { + Self { + ts_utc, + frame_id, + byte_start, + byte_len, + kind, + confidence, + tz_hint_minutes, + flags, + } + } +} + +/// Persisted anchor metadata per frame. +#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)] +pub struct TemporalAnchor { + pub frame_id: FrameId, + pub anchor_ts: i64, + pub source: AnchorSource, +} + +impl TemporalAnchor { + #[must_use] + pub fn new(frame_id: FrameId, anchor_ts: i64, source: AnchorSource) -> Self { + Self { + frame_id, + anchor_ts, + source, + } + } +} + +/// In-memory representation of the temporal track payload. +#[derive(Debug, Clone, Default, PartialEq, Eq)] +pub struct TemporalTrack { + pub mentions: Vec, + pub anchors: Vec, + pub flags: u32, +} + +impl TemporalTrack { + #[must_use] + pub fn is_empty(&self) -> bool { + self.mentions.is_empty() + } + + #[must_use] + pub fn capabilities(&self) -> TemporalCapabilities { + TemporalCapabilities { + has_anchors: self.flags & TEMPORAL_TRACK_FLAG_HAS_ANCHORS != 0 + || !self.anchors.is_empty(), + has_mentions: self.flags & TEMPORAL_TRACK_FLAG_HAS_MENTIONS != 0 + || !self.mentions.is_empty(), + } + } + + #[must_use] + pub fn anchor_for_frame(&self, frame_id: FrameId) -> Option<&TemporalAnchor> { + self.anchors + .binary_search_by_key(&frame_id, |anchor| anchor.frame_id) + .ok() + .map(|idx| &self.anchors[idx]) + } +} + +/// Request-time temporal window applied to queries. +#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)] +pub struct TemporalFilter { + #[serde(default, skip_serializing_if = "Option::is_none")] + pub start_utc: Option, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub end_utc: Option, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub phrase: Option, + #[serde(default, skip_serializing_if = "Option::is_none")] + pub tz: Option, +} + +impl TemporalFilter { + #[must_use] + pub fn is_empty(&self) -> bool { + let phrase_empty = self + .phrase + .as_ref() + .map(|phrase| phrase.trim().is_empty()) + .unwrap_or(true); + self.start_utc.is_none() && self.end_utc.is_none() && phrase_empty + } +} + +/// Convenience wrapper describing which temporal features are available on a track. +#[derive(Debug, Clone, Copy, Default, PartialEq, Eq)] +pub struct TemporalCapabilities { + pub has_anchors: bool, + pub has_mentions: bool, +} diff --git a/src/types/ticket.rs b/src/types/ticket.rs new file mode 100644 index 0000000..18cff05 --- /dev/null +++ b/src/types/ticket.rs @@ -0,0 +1,107 @@ +//! Ticket metadata exchanged with the control plane. + +use serde::{Deserialize, Serialize}; +use uuid::Uuid; + +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct TicketRef { + pub issuer: String, + pub seq_no: i64, + pub expires_in_secs: u64, + #[serde(default)] + pub capacity_bytes: u64, + /// Whether this ticket was cryptographically verified against the Memvid public key. + /// Only tickets applied via `apply_signed_ticket()` will have this set to true. + #[serde(default)] + pub verified: bool, +} + +/// Ticket information provided by the control plane. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct Ticket { + pub issuer: String, + pub seq_no: i64, + pub expires_in_secs: u64, + pub capacity_bytes: Option, +} + +impl Ticket { + #[must_use] + pub fn new>(issuer: I, seq_no: i64) -> Self { + Self { + issuer: issuer.into(), + seq_no, + expires_in_secs: 0, + capacity_bytes: None, + } + } + + #[must_use] + pub fn expires_in_secs(mut self, value: u64) -> Self { + self.expires_in_secs = value; + self + } + + #[must_use] + pub fn capacity_bytes(mut self, value: u64) -> Self { + self.capacity_bytes = Some(value); + self + } +} + +/// A cryptographically signed ticket from the Memvid control plane. +/// Contains a signature that can be verified against the embedded public key. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct SignedTicket { + /// The issuer identifier (e.g., "memvid.com"). + pub issuer: String, + /// Monotonically increasing sequence number for replay protection. + pub seq_no: i64, + /// How long this ticket is valid (in seconds from issuance). + pub expires_in_secs: u64, + /// The capacity in bytes this ticket grants (None = use tier default). + pub capacity_bytes: Option, + /// The memory ID this ticket is bound to. + pub memory_id: Uuid, + /// The Ed25519 signature over the ticket payload. + #[serde(with = "base64_bytes")] + pub signature: Vec, +} + +impl SignedTicket { + /// Creates a new signed ticket with all required fields. + #[must_use] + pub fn new( + issuer: impl Into, + seq_no: i64, + expires_in_secs: u64, + capacity_bytes: Option, + memory_id: Uuid, + signature: Vec, + ) -> Self { + Self { + issuer: issuer.into(), + seq_no, + expires_in_secs, + capacity_bytes, + memory_id, + signature, + } + } +} + +/// Serde helper for base64-encoded byte vectors. +mod base64_bytes { + use base64::Engine; + use base64::engine::general_purpose::STANDARD as BASE64_STANDARD; + use serde::{Deserialize, Deserializer, Serializer}; + + pub fn serialize(bytes: &Vec, serializer: S) -> Result { + serializer.serialize_str(&BASE64_STANDARD.encode(bytes)) + } + + pub fn deserialize<'de, D: Deserializer<'de>>(deserializer: D) -> Result, D::Error> { + let s = String::deserialize(deserializer)?; + BASE64_STANDARD.decode(&s).map_err(serde::de::Error::custom) + } +} diff --git a/src/types/verification.rs b/src/types/verification.rs new file mode 100644 index 0000000..7db15cc --- /dev/null +++ b/src/types/verification.rs @@ -0,0 +1,353 @@ +//! Types describing verification and doctor workflows. + +use std::path::PathBuf; + +use serde::{Deserialize, Serialize}; + +/// User-provided preferences that influence how the doctor plans repair work. +#[derive(Debug, Clone, Serialize, Deserialize, Default)] +pub struct DoctorOptions { + #[serde(default)] + pub rebuild_time_index: bool, + #[serde(default)] + pub rebuild_lex_index: bool, + #[serde(default)] + pub rebuild_vec_index: bool, + #[serde(default)] + pub vacuum: bool, + #[serde(default)] + pub dry_run: bool, + /// Suppress debug output when true. + #[serde(default)] + pub quiet: bool, +} + +/// Version identifier embedded in `DoctorPlan` for compatibility checks. +pub const DOCTOR_PLAN_VERSION: u32 = 1; + +/// Coarse phases executed by the doctor orchestrator. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)] +#[serde(rename_all = "snake_case")] +pub enum DoctorPhaseKind { + Probe, + HeaderHealing, + WalReplay, + IndexRebuild, + Vacuum, + Finalize, + Verify, +} + +/// Operation variants that can be scheduled within a phase. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)] +#[serde(rename_all = "snake_case")] +pub enum DoctorActionKind { + HealHeaderPointer, + HealTocChecksum, + ReplayWal, + DiscardWal, + RebuildTimeIndex, + RebuildLexIndex, + RebuildVecIndex, + VacuumCompaction, + RecomputeToc, + UpdateHeader, + DeepVerify, + NoOp, +} + +/// Severity assigned to individual findings. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)] +#[serde(rename_all = "snake_case")] +pub enum DoctorSeverity { + Info, + Warning, + Error, +} + +/// Stable codes that map onto the error taxonomy for doctor findings. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize, Hash)] +#[serde(rename_all = "snake_case")] +pub enum DoctorFindingCode { + HeaderFooterOffsetMismatch, + HeaderTocChecksumMismatch, + HeaderDecodeFailure, + TocDecodeFailure, + TocChecksumMismatch, + TocOutOfBounds, + WalHasPendingRecords, + WalSequenceAheadOfHeader, + WalChecksumMismatch, + TimeIndexMissing, + TimeIndexChecksumMismatch, + TimeIndexUnsorted, + LexIndexMissing, + LexIndexCorrupt, + VecIndexMissing, + VecIndexCorrupt, + TantivySnapshotMissing, + TantivySnapshotCorrupt, + MerkleMismatch, + SegmentCatalogInconsistent, + VacuumIncomplete, + LockContention, + UnsupportedFeature, + InternalError, +} + +/// Human-readable description of a detected issue. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct DoctorFinding { + /// Stable classification code for the issue. + pub code: DoctorFindingCode, + /// Severity hint used for planning and reporting. + pub severity: DoctorSeverity, + #[serde(default)] + pub message: String, + #[serde(default)] + pub detail: Option, +} + +impl DoctorFinding { + #[must_use] + pub fn info(code: DoctorFindingCode, message: impl Into) -> Self { + Self { + code, + severity: DoctorSeverity::Info, + message: message.into(), + detail: None, + } + } + + #[must_use] + pub fn warning(code: DoctorFindingCode, message: impl Into) -> Self { + Self { + code, + severity: DoctorSeverity::Warning, + message: message.into(), + detail: None, + } + } + + #[must_use] + pub fn error(code: DoctorFindingCode, message: impl Into) -> Self { + Self { + code, + severity: DoctorSeverity::Error, + message: message.into(), + detail: None, + } + } + + #[must_use] + pub fn with_detail(mut self, detail: impl Into) -> Self { + self.detail = Some(detail.into()); + self + } +} + +/// Planned sequence of phases and operations required to heal a memory file. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct DoctorPlan { + #[serde(default = "DoctorPlan::default_version")] + pub version: u32, + /// Memory path the plan was derived from. + pub file_path: PathBuf, + #[serde(default)] + pub options: DoctorOptions, + #[serde(default)] + pub findings: Vec, + #[serde(default)] + pub phases: Vec, +} + +impl DoctorPlan { + fn default_version() -> u32 { + DOCTOR_PLAN_VERSION + } + + #[must_use] + pub fn is_noop(&self) -> bool { + self.phases.iter().all(|phase| { + phase.actions.iter().all(|action| { + matches!( + action.action, + DoctorActionKind::DeepVerify | DoctorActionKind::NoOp + ) + }) + }) + } +} + +/// Phase-level plan that groups related actions. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct DoctorPhasePlan { + pub phase: DoctorPhaseKind, + #[serde(default)] + pub actions: Vec, +} + +/// A single action to be executed during a phase. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct DoctorActionPlan { + /// Work item to perform. + pub action: DoctorActionKind, + #[serde(default)] + pub required: bool, + #[serde(default)] + pub reasons: Vec, + #[serde(default)] + pub note: Option, + #[serde(default)] + pub detail: Option, +} + +/// Structured payload attached to specific doctor actions. +#[derive(Debug, Clone, Serialize, Deserialize)] +#[serde(tag = "type", rename_all = "snake_case")] +pub enum DoctorActionDetail { + HeaderPointer { + target_footer_offset: u64, + }, + TocChecksum { + expected: [u8; 32], + }, + WalReplay { + from_sequence: u64, + to_sequence: u64, + pending_records: usize, + }, + TimeIndex { + expected_entries: u64, + }, + LexIndex { + expected_docs: u64, + }, + VecIndex { + expected_vectors: u64, + dimension: u32, + }, + VacuumStats { + active_frames: u64, + }, +} + +/// Aggregated metrics reported after doctor execution. +#[derive(Debug, Clone, Serialize, Deserialize, Default)] +pub struct DoctorMetrics { + #[serde(default)] + pub total_duration_ms: u64, + #[serde(default)] + pub phase_durations: Vec, + #[serde(default)] + pub actions_completed: usize, + #[serde(default)] + pub actions_skipped: usize, +} + +/// Duration recorded for a single phase. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct DoctorPhaseDuration { + /// Phase identifier. + pub phase: DoctorPhaseKind, + /// Wall-clock milliseconds spent in the phase. + pub duration_ms: u64, +} + +/// Final outcome categories emitted by doctor. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)] +#[serde(rename_all = "snake_case")] +pub enum DoctorStatus { + Clean, + Healed, + Partial, + Failed, + PlanOnly, +} + +/// Per-phase status summary. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)] +#[serde(rename_all = "snake_case")] +pub enum DoctorPhaseStatus { + Skipped, + Executed, + Failed, +} + +/// Outcome for an individual action. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)] +#[serde(rename_all = "snake_case")] +pub enum DoctorActionStatus { + Skipped, + Executed, + Failed, +} + +/// Phase execution report captured after doctor runs. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct DoctorPhaseReport { + /// Phase that produced this report entry. + pub phase: DoctorPhaseKind, + pub status: DoctorPhaseStatus, + #[serde(default)] + pub actions: Vec, + #[serde(default)] + pub duration_ms: Option, +} + +/// Action-level execution result. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct DoctorActionReport { + /// Action identifier. + pub action: DoctorActionKind, + pub status: DoctorActionStatus, + #[serde(default)] + pub detail: Option, +} + +/// Composite report returned by doctor after executing a plan. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct DoctorReport { + /// Plan that was executed (possibly with adjustments). + pub plan: DoctorPlan, + pub status: DoctorStatus, + #[serde(default)] + pub phases: Vec, + #[serde(default)] + pub findings: Vec, + #[serde(default)] + pub metrics: DoctorMetrics, + #[serde(default)] + pub verification: Option, +} + +/// Metadata returned by `verify` (or attached to a doctor report when requested). +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct VerificationReport { + /// Path of the memory that was verified. + pub file_path: PathBuf, + /// Individual checks and their statuses. + pub checks: Vec, + /// Aggregate status across all checks. + pub overall_status: VerificationStatus, +} + +/// Individual verification check outcome. +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct VerificationCheck { + /// Human-friendly name for the check. + pub name: String, + /// Result of the check. + pub status: VerificationStatus, + /// Optional machine-parsable details. + pub details: Option, +} + +/// Status for a verification check or overall verification run. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)] +#[serde(rename_all = "snake_case")] +pub enum VerificationStatus { + Passed, + Failed, + Skipped, +} diff --git a/src/vec.rs b/src/vec.rs new file mode 100644 index 0000000..b01dcc7 --- /dev/null +++ b/src/vec.rs @@ -0,0 +1,652 @@ +use blake3::hash; +use serde::{Deserialize, Serialize}; + +use crate::{MemvidError, Result, types::FrameId}; + +#[cfg(any(feature = "vec", feature = "hnsw_bench"))] +use hnsw::{Hnsw, Params, Searcher}; +#[cfg(any(feature = "vec", feature = "hnsw_bench"))] +use rand_pcg::Pcg64; +#[cfg(any(feature = "vec", feature = "hnsw_bench"))] +use space::Metric; + +fn vec_config() -> impl bincode::config::Config { + bincode::config::standard() + .with_fixed_int_encoding() + .with_little_endian() +} + +#[allow(clippy::cast_possible_truncation)] +const VEC_DECODE_LIMIT: usize = crate::MAX_INDEX_BYTES as usize; + +#[cfg(any(feature = "vec", feature = "hnsw_bench"))] +const HNSW_THRESHOLD: usize = 1000; +/// Fixed-point scaling factor for HNSW distances. +/// Necessary because `space::Metric` requires `Unit: Unsigned`, but we use f32 L2 distances. +/// 100,000.0 gives 1e-5 precision and max distance ~42,000 (enough for high-dim embeddings). +#[cfg(any(feature = "vec", feature = "hnsw_bench"))] +const HNSW_DISTANCE_SCALE: f32 = 100_000.0; + +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct VecDocument { + pub frame_id: FrameId, + pub embedding: Vec, +} + +#[derive(Default)] +pub struct VecIndexBuilder { + documents: Vec, +} + +impl VecIndexBuilder { + #[must_use] + pub fn new() -> Self { + Self::default() + } + + pub fn add_document(&mut self, frame_id: FrameId, embedding: I) + where + I: Into>, + { + self.documents.push(VecDocument { + frame_id, + embedding: embedding.into(), + }); + } + + pub fn finish(self) -> Result { + #[cfg(any(feature = "vec", feature = "hnsw_bench"))] + if self.documents.len() >= HNSW_THRESHOLD { + return self.finish_hnsw(); + } + + let bytes = bincode::serde::encode_to_vec(&self.documents, vec_config())?; + + let checksum = *hash(&bytes).as_bytes(); + let dimension = self + .documents + .first() + .map_or(0, |doc| u32::try_from(doc.embedding.len()).unwrap_or(0)); + #[cfg(feature = "parallel_segments")] + let bytes_uncompressed = self + .documents + .iter() + .map(|doc| doc.embedding.len() * std::mem::size_of::()) + .sum::() as u64; + Ok(VecIndexArtifact { + bytes, + vector_count: self.documents.len() as u64, + dimension, + checksum, + #[cfg(feature = "parallel_segments")] + bytes_uncompressed, + }) + } + + #[cfg(any(feature = "vec", feature = "hnsw_bench"))] + #[allow(clippy::cast_possible_truncation)] + fn finish_hnsw(self) -> Result { + let count = self.documents.len() as u64; + let dimension = self + .documents + .first() + .map(|d| d.embedding.len() as u32) + .unwrap_or(0); + + #[cfg(feature = "parallel_segments")] + let bytes_uncompressed = self + .documents + .iter() + .map(|doc| doc.embedding.len() * std::mem::size_of::()) + .sum::() as u64; + + let index = HnswVecIndex::build(&self.documents)?; + let bytes = bincode::serde::encode_to_vec(&index, vec_config())?; + let checksum = *hash(&bytes).as_bytes(); + + Ok(VecIndexArtifact { + bytes, + vector_count: count, + dimension, + checksum, + #[cfg(feature = "parallel_segments")] + bytes_uncompressed, + }) + } +} + +#[derive(Debug, Clone)] +pub struct VecIndexArtifact { + pub bytes: Vec, + pub vector_count: u64, + pub dimension: u32, + pub checksum: [u8; 32], + #[cfg(feature = "parallel_segments")] + pub bytes_uncompressed: u64, +} + +#[derive(Debug, Clone)] +pub enum VecIndex { + Uncompressed { + documents: Vec, + }, + Compressed(crate::vec_pq::QuantizedVecIndex), + #[cfg(any(feature = "vec", feature = "hnsw_bench"))] + Hnsw(HnswVecIndex), +} + +impl VecIndex { + /// Decode vector index from bytes + /// For backward compatibility, defaults to uncompressed if no manifest provided + pub fn decode(bytes: &[u8]) -> Result { + Self::decode_with_compression(bytes, crate::VectorCompression::None) + } + + /// Decode vector index with compression mode from manifest + /// + /// ALWAYS tries uncompressed format first, regardless of compression flag. + /// This is necessary because `MIN_VECTORS_FOR_PQ` threshold (100 vectors) + /// causes most segments to be stored as uncompressed even when Pq96 is requested. + /// Falls back to PQ format for true compressed segments. + pub fn decode_with_compression( + bytes: &[u8], + _compression: crate::VectorCompression, + ) -> Result { + // Try uncompressed format first, regardless of compression flag. + // This is necessary because MIN_VECTORS_FOR_PQ threshold (100 vectors) + // causes most segments to be stored as uncompressed even when Pq96 is requested. + match bincode::serde::decode_from_slice::, _>( + bytes, + bincode::config::standard() + .with_fixed_int_encoding() + .with_little_endian() + .with_limit::(), + ) { + Ok((documents, read)) if read == bytes.len() => { + tracing::debug!( + bytes_len = bytes.len(), + docs_count = documents.len(), + "decoded as uncompressed" + ); + return Ok(Self::Uncompressed { documents }); + } + Ok((_, read)) => { + tracing::debug!( + bytes_len = bytes.len(), + read = read, + "uncompressed decode partial read, trying HNSW/PQ" + ); + } + Err(err) => { + tracing::debug!( + error = %err, + bytes_len = bytes.len(), + "uncompressed decode failed, trying HNSW/PQ" + ); + } + } + + #[cfg(any(feature = "vec", feature = "hnsw_bench"))] + { + match bincode::serde::decode_from_slice::( + bytes, + bincode::config::standard() + .with_fixed_int_encoding() + .with_little_endian() + .with_limit::(), + ) { + Ok((index, _)) => { + tracing::debug!(bytes_len = bytes.len(), "decoded as HNSW"); + return Ok(Self::Hnsw(index)); + } + Err(err) => { + tracing::debug!( + error = %err, + bytes_len = bytes.len(), + "HNSW decode failed, trying PQ" + ); + } + } + } + + // Try Product Quantization format + match crate::vec_pq::QuantizedVecIndex::decode(bytes) { + Ok(quantized_index) => { + tracing::debug!(bytes_len = bytes.len(), "decoded as PQ"); + Ok(Self::Compressed(quantized_index)) + } + Err(err) => { + tracing::debug!( + error = %err, + bytes_len = bytes.len(), + "PQ decode also failed" + ); + Err(MemvidError::InvalidToc { + reason: "unsupported vector index encoding".into(), + }) + } + } + } + + #[must_use] + pub fn search(&self, query: &[f32], limit: usize) -> Vec { + if query.is_empty() { + return Vec::new(); + } + match self { + VecIndex::Uncompressed { documents } => { + let mut hits: Vec = documents + .iter() + .map(|doc| { + let distance = l2_distance(query, &doc.embedding); + VecSearchHit { + frame_id: doc.frame_id, + distance, + } + }) + .collect(); + hits.sort_by(|a, b| { + a.distance + .partial_cmp(&b.distance) + .unwrap_or(std::cmp::Ordering::Equal) + }); + hits.truncate(limit); + hits + } + VecIndex::Compressed(quantized) => quantized.search(query, limit), + #[cfg(any(feature = "vec", feature = "hnsw_bench"))] + VecIndex::Hnsw(index) => index.search(query, limit), + } + } + + #[must_use] + pub fn entries(&self) -> Box + '_> { + match self { + VecIndex::Uncompressed { documents } => Box::new( + documents + .iter() + .map(|doc| (doc.frame_id, doc.embedding.as_slice())), + ), + VecIndex::Compressed(_) => { + // Compressed vectors don't have direct f32 access + Box::new(std::iter::empty()) + } + #[cfg(any(feature = "vec", feature = "hnsw_bench"))] + VecIndex::Hnsw(_) => { + // HNSW graph doesn't easily iterate all embeddings + Box::new(std::iter::empty()) + } + } + } + + #[must_use] + pub fn embedding_for(&self, frame_id: FrameId) -> Option<&[f32]> { + match self { + VecIndex::Uncompressed { documents } => documents + .iter() + .find(|doc| doc.frame_id == frame_id) + .map(|doc| doc.embedding.as_slice()), + VecIndex::Compressed(_) => { + // Compressed vectors don't have direct f32 access + None + } + #[cfg(any(feature = "vec", feature = "hnsw_bench"))] + VecIndex::Hnsw(_) => { + // HNSW storage is internal, would need traversal to find exact embedding + // For now, return None as we do for Compressed + None + } + } + } + + pub fn remove(&mut self, frame_id: FrameId) { + match self { + VecIndex::Uncompressed { documents } => { + documents.retain(|doc| doc.frame_id != frame_id); + } + VecIndex::Compressed(_quantized) => { + // Compressed indices are immutable + } + #[cfg(any(feature = "vec", feature = "hnsw_bench"))] + VecIndex::Hnsw(_) => { + // HNSW indices are immutable in this implementation + } + } + } +} + +#[derive(Debug, Clone, PartialEq)] +pub struct VecSearchHit { + pub frame_id: FrameId, + pub distance: f32, +} + +fn l2_distance(a: &[f32], b: &[f32]) -> f32 { + crate::simd::l2_distance_simd(a, b) +} + +#[cfg(any(feature = "vec", feature = "hnsw_bench"))] +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct Euclidean; + +#[cfg(any(feature = "vec", feature = "hnsw_bench"))] +impl Metric> for Euclidean { + type Unit = u32; + fn distance(&self, a: &Vec, b: &Vec) -> u32 { + let d = l2_distance(a, b); + // Saturating cast prevents overflow for huge distances (though unlikely for embeddings) + (d * HNSW_DISTANCE_SCALE).min(u32::MAX as f32) as u32 + } +} + +#[cfg(any(feature = "vec", feature = "hnsw_bench"))] +#[derive(Clone, Serialize, Deserialize)] +#[allow(clippy::unsafe_derive_deserialize)] +pub struct HnswVecIndex { + graph: Hnsw, Pcg64, 16, 32>, + ids: Vec, + dimension: u32, +} + +#[cfg(any(feature = "vec", feature = "hnsw_bench"))] +impl std::fmt::Debug for HnswVecIndex { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + f.debug_struct("HnswVecIndex") + .field("dimension", &self.dimension) + .field("vector_count", &self.ids.len()) + .finish_non_exhaustive() + } +} + +#[cfg(any(feature = "vec", feature = "hnsw_bench"))] +impl HnswVecIndex { + #[allow(clippy::cast_possible_truncation)] + pub fn build(documents: &[VecDocument]) -> Result { + let params = Params::new().ef_construction(100); + let mut graph = Hnsw::new_params(Euclidean, params); + let mut ids = Vec::with_capacity(documents.len()); + let mut searcher = Searcher::default(); + + for doc in documents { + graph.insert(doc.embedding.clone(), &mut searcher); + ids.push(doc.frame_id); + } + + Ok(Self { + graph, + ids, + dimension: documents + .first() + .map(|d| d.embedding.len() as u32) + .unwrap_or(0), + }) + } + + #[must_use] + pub fn search(&self, query: &[f32], limit: usize) -> Vec { + // Use thread-local searcher and dest buffer to avoid per-query allocations + thread_local! { + static SEARCHER: std::cell::RefCell> = std::cell::RefCell::new(Searcher::new()); + static DEST: std::cell::RefCell>> = const { std::cell::RefCell::new(Vec::new()) }; + } + + // ef_search: query-time search width. Higher = better recall, slower search. + // Default: 50 as per maintainer specification. Can be exposed as option later. + let ef_search = 50; + + SEARCHER.with(|searcher_cell| { + DEST.with(|dest_cell| { + let mut searcher = searcher_cell.borrow_mut(); + let mut dest = dest_cell.borrow_mut(); + + // Ensure dest has enough capacity + let required_size = limit.max(ef_search); + if dest.len() < required_size { + dest.resize( + required_size, + space::Neighbor { + index: !0, + distance: 0, + }, + ); + } + + // Convert query slice to Vec for the graph + let query_vec: Vec = query.to_vec(); + + let found = self.graph.nearest( + &query_vec, + ef_search, + &mut searcher, + &mut dest[..required_size], + ); + + found + .iter() + .take(limit) + .map(|neighbor| VecSearchHit { + frame_id: self.ids[neighbor.index], + distance: (neighbor.distance as f32) / HNSW_DISTANCE_SCALE, + }) + .collect() + }) + }) + } +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn builder_roundtrip() { + let mut builder = VecIndexBuilder::new(); + builder.add_document(1, vec![0.0, 1.0, 2.0]); + builder.add_document(2, vec![1.0, 2.0, 3.0]); + let artifact = builder.finish().expect("finish"); + assert_eq!(artifact.vector_count, 2); + assert_eq!(artifact.dimension, 3); + + let index = VecIndex::decode(&artifact.bytes).expect("decode"); + let hits = index.search(&[0.0, 1.0, 2.0], 10); + assert_eq!(hits[0].frame_id, 1); + } + + #[test] + fn l2_distance_behaves() { + let d = l2_distance(&[0.0, 0.0], &[3.0, 4.0]); + assert!((d - 5.0).abs() < 1e-6); + } + + /// Test that HNSW is used for indices with >1000 vectors (HNSW_THRESHOLD) + #[test] + #[cfg(any(feature = "vec", feature = "hnsw_bench"))] + fn hnsw_threshold_triggers_hnsw_index() { + use super::HNSW_THRESHOLD; + + // Create index with exactly HNSW_THRESHOLD vectors + let mut builder = VecIndexBuilder::new(); + let dim = 32; + for i in 0..HNSW_THRESHOLD { + let embedding: Vec = (0..dim).map(|j| (i * dim + j) as f32 / 1000.0).collect(); + builder.add_document(i as FrameId, embedding); + } + + let artifact = builder.finish().expect("finish hnsw"); + assert_eq!(artifact.vector_count, HNSW_THRESHOLD as u64); + + // Decode and verify it's an HNSW index + let index = VecIndex::decode(&artifact.bytes).expect("decode"); + assert!( + matches!(index, VecIndex::Hnsw(_)), + "Expected HNSW index for {} vectors", + HNSW_THRESHOLD + ); + } + + /// Test that brute force is used for indices below threshold + #[test] + #[cfg(any(feature = "vec", feature = "hnsw_bench"))] + fn below_threshold_uses_brute_force() { + use super::HNSW_THRESHOLD; + + // Create index with fewer than HNSW_THRESHOLD vectors + let mut builder = VecIndexBuilder::new(); + let count = HNSW_THRESHOLD - 1; + let dim = 32; + for i in 0..count { + let embedding: Vec = (0..dim).map(|j| (i * dim + j) as f32 / 1000.0).collect(); + builder.add_document(i as FrameId, embedding); + } + + let artifact = builder.finish().expect("finish brute force"); + assert_eq!(artifact.vector_count, count as u64); + + // Decode and verify it's NOT an HNSW index + let index = VecIndex::decode(&artifact.bytes).expect("decode"); + assert!( + matches!(index, VecIndex::Uncompressed { .. }), + "Expected Uncompressed index for {} vectors", + count + ); + } + + /// Test HNSW search returns correct nearest neighbors + #[test] + #[cfg(any(feature = "vec", feature = "hnsw_bench"))] + fn hnsw_search_finds_nearest_neighbors() { + use super::HNSW_THRESHOLD; + + let mut builder = VecIndexBuilder::new(); + let dim = 32; + + // Insert HNSW_THRESHOLD vectors with predictable embeddings + for i in 0..HNSW_THRESHOLD { + let embedding: Vec = (0..dim).map(|_| i as f32).collect(); + builder.add_document(i as FrameId, embedding); + } + + let artifact = builder.finish().expect("finish"); + let index = VecIndex::decode(&artifact.bytes).expect("decode"); + + // Query with a vector identical to frame_id=500 + let query: Vec = (0..dim).map(|_| 500.0_f32).collect(); + let hits = index.search(&query, 5); + + assert!(!hits.is_empty(), "Should find at least one hit"); + assert_eq!( + hits[0].frame_id, 500, + "Nearest neighbor should be exact match" + ); + assert!( + hits[0].distance < 0.001, + "Distance to exact match should be near zero" + ); + } + + /// Test HNSW serialization/deserialization roundtrip + #[test] + #[cfg(any(feature = "vec", feature = "hnsw_bench"))] + fn hnsw_serialization_roundtrip() { + use super::HNSW_THRESHOLD; + + let mut builder = VecIndexBuilder::new(); + let dim = 64; + + for i in 0..HNSW_THRESHOLD { + let embedding: Vec = (0..dim).map(|j| ((i + j) % 100) as f32 / 100.0).collect(); + builder.add_document(i as FrameId, embedding); + } + + let artifact = builder.finish().expect("finish"); + let original_bytes = artifact.bytes.clone(); + + // Decode + let index = VecIndex::decode(&original_bytes).expect("decode"); + assert!(matches!(index, VecIndex::Hnsw(_))); + + // Search before any re-serialization + let query: Vec = (0..dim).map(|j| (j % 100) as f32 / 100.0).collect(); + let hits_1 = index.search(&query, 10); + + // Decode again from same bytes (simulates loading from disk) + let index_2 = VecIndex::decode(&original_bytes).expect("decode again"); + let hits_2 = index_2.search(&query, 10); + + // Results should be identical + assert_eq!(hits_1.len(), hits_2.len()); + for (h1, h2) in hits_1.iter().zip(hits_2.iter()) { + assert_eq!(h1.frame_id, h2.frame_id); + assert!((h1.distance - h2.distance).abs() < 1e-6); + } + } + + /// Test HNSW with larger dataset to verify approximate search quality + #[test] + #[cfg(any(feature = "vec", feature = "hnsw_bench"))] + fn hnsw_recall_quality() { + use super::HNSW_THRESHOLD; + + let count = HNSW_THRESHOLD + 500; // 1500 vectors + let dim = 32; + + // Build HNSW index + let mut builder = VecIndexBuilder::new(); + let embeddings: Vec> = (0..count) + .map(|i| { + (0..dim) + .map(|j| ((i * 7 + j * 13) % 1000) as f32 / 1000.0) + .collect() + }) + .collect(); + + for (i, emb) in embeddings.iter().enumerate() { + builder.add_document(i as FrameId, emb.clone()); + } + + let artifact = builder.finish().expect("finish"); + let hnsw_index = VecIndex::decode(&artifact.bytes).expect("decode"); + + // Also build brute force index for ground truth + let brute_index = VecIndex::Uncompressed { + documents: embeddings + .iter() + .enumerate() + .map(|(i, emb)| VecDocument { + frame_id: i as FrameId, + embedding: emb.clone(), + }) + .collect(), + }; + + // Query with vector similar to index 750 + let query = embeddings[750].clone(); + let k = 10; + + let hnsw_hits = hnsw_index.search(&query, k); + let brute_hits = brute_index.search(&query, k); + + // HNSW should find the exact match first + assert_eq!(hnsw_hits[0].frame_id, 750, "HNSW should find exact match"); + assert_eq!( + brute_hits[0].frame_id, 750, + "Brute force should find exact match" + ); + + // Calculate recall: how many of top-k from HNSW are in top-k from brute force + let brute_set: std::collections::HashSet<_> = + brute_hits.iter().map(|h| h.frame_id).collect(); + let recall = hnsw_hits + .iter() + .filter(|h| brute_set.contains(&h.frame_id)) + .count(); + let recall_ratio = recall as f32 / k as f32; + + // HNSW should achieve at least 80% recall on this simple dataset + assert!( + recall_ratio >= 0.8, + "HNSW recall {} should be >= 0.8", + recall_ratio + ); + } +} diff --git a/src/vec_pq.rs b/src/vec_pq.rs new file mode 100644 index 0000000..b67cd44 --- /dev/null +++ b/src/vec_pq.rs @@ -0,0 +1,635 @@ +//! Product Quantization (PQ) for vector compression +//! +//! Compresses 384-dim f32 vectors from 1,536 bytes to 96 bytes (16x compression) +//! while maintaining ~95% search accuracy using codebook-based quantization. +//! +//! **Algorithm**: +//! 1. Split 384-dim vector into 96 subspaces of 4 dimensions each +//! 2. For each subspace, train 256 centroids using k-means +//! 3. Each vector is encoded as 96 bytes (one u8 index per subspace) +//! 4. Search uses ADC (Asymmetric Distance Computation) with lookup tables + +use blake3::hash; +use serde::{Deserialize, Serialize}; + +use crate::vec::VecSearchHit; +use crate::{MemvidError, Result, types::FrameId}; + +fn vec_config() -> impl bincode::config::Config { + bincode::config::standard() + .with_fixed_int_encoding() + .with_little_endian() +} + +#[allow(clippy::cast_possible_truncation)] +const VEC_DECODE_LIMIT: usize = crate::MAX_INDEX_BYTES as usize; + +/// Product Quantization parameters +const NUM_SUBSPACES: usize = 96; // 384 dims / 4 dims per subspace +const SUBSPACE_DIM: usize = 4; // Dimensions per subspace +const NUM_CENTROIDS: usize = 256; // 2^8 centroids (encoded as u8) +const TOTAL_DIM: usize = NUM_SUBSPACES * SUBSPACE_DIM; // 384 + +/// Codebook for one subspace: 256 centroids, each with `SUBSPACE_DIM` dimensions +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct SubspaceCodebook { + /// Flat array: centroids[i*`SUBSPACE_DIM..(i+1)`*`SUBSPACE_DIM`] is centroid i + centroids: Vec, +} + +impl SubspaceCodebook { + fn new() -> Self { + Self { + centroids: vec![0.0; NUM_CENTROIDS * SUBSPACE_DIM], + } + } + + fn get_centroid(&self, index: u8) -> &[f32] { + let start = (index as usize) * SUBSPACE_DIM; + &self.centroids[start..start + SUBSPACE_DIM] + } + + fn set_centroid(&mut self, index: u8, values: &[f32]) { + assert_eq!(values.len(), SUBSPACE_DIM); + let start = (index as usize) * SUBSPACE_DIM; + self.centroids[start..start + SUBSPACE_DIM].copy_from_slice(values); + } + + /// Find nearest centroid to a subspace vector + fn quantize(&self, subspace: &[f32]) -> u8 { + assert_eq!(subspace.len(), SUBSPACE_DIM); + + let mut best_idx = 0u8; + let mut best_dist = f32::INFINITY; + + for i in 0..NUM_CENTROIDS { + #[allow(clippy::cast_possible_truncation)] + let centroid = self.get_centroid(i as u8); + let dist = l2_distance_squared(subspace, centroid); + if dist < best_dist { + best_dist = dist; + #[allow(clippy::cast_possible_truncation)] + { + best_idx = i as u8; + } + } + } + + best_idx + } +} + +/// Product Quantizer with codebooks for all subspaces +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct ProductQuantizer { + /// One codebook per subspace + codebooks: Vec, + dimension: u32, +} + +impl ProductQuantizer { + /// Create uninitialized quantizer + pub fn new(dimension: u32) -> Result { + if dimension as usize != TOTAL_DIM { + return Err(MemvidError::InvalidQuery { + reason: format!("PQ only supports {TOTAL_DIM}-dim vectors, got {dimension}"), + }); + } + + Ok(Self { + codebooks: vec![SubspaceCodebook::new(); NUM_SUBSPACES], + dimension, + }) + } + + /// Train codebooks using k-means on sample vectors + pub fn train(&mut self, training_vectors: &[Vec], max_iterations: usize) -> Result<()> { + if training_vectors.is_empty() { + return Err(MemvidError::InvalidQuery { + reason: "Cannot train PQ with empty training set".to_string(), + }); + } + + // Verify all vectors have correct dimension + for vec in training_vectors { + if vec.len() != TOTAL_DIM { + return Err(MemvidError::InvalidQuery { + reason: format!( + "Training vector has wrong dimension: expected {}, got {}", + TOTAL_DIM, + vec.len() + ), + }); + } + } + + // Train each subspace independently + for subspace_idx in 0..NUM_SUBSPACES { + let start_dim = subspace_idx * SUBSPACE_DIM; + let end_dim = start_dim + SUBSPACE_DIM; + + // Extract subspace vectors + let subspace_vecs: Vec> = training_vectors + .iter() + .map(|v| v[start_dim..end_dim].to_vec()) + .collect(); + + // Run k-means + let centroids = kmeans(&subspace_vecs, NUM_CENTROIDS, max_iterations)?; + + // Store in codebook + for (i, centroid) in centroids.iter().enumerate() { + #[allow(clippy::cast_possible_truncation)] + self.codebooks[subspace_idx].set_centroid(i as u8, centroid); + } + } + + Ok(()) + } + + /// Encode a vector into PQ codes (96 bytes) + pub fn encode(&self, vector: &[f32]) -> Result> { + if vector.len() != TOTAL_DIM { + return Err(MemvidError::InvalidQuery { + reason: format!( + "Vector dimension mismatch: expected {}, got {}", + TOTAL_DIM, + vector.len() + ), + }); + } + + let mut codes = Vec::with_capacity(NUM_SUBSPACES); + + for subspace_idx in 0..NUM_SUBSPACES { + let start_dim = subspace_idx * SUBSPACE_DIM; + let end_dim = start_dim + SUBSPACE_DIM; + let subspace = &vector[start_dim..end_dim]; + + let code = self.codebooks[subspace_idx].quantize(subspace); + codes.push(code); + } + + Ok(codes) + } + + /// Decode PQ codes back to approximate vector (for debugging/verification) + pub fn decode(&self, codes: &[u8]) -> Result> { + if codes.len() != NUM_SUBSPACES { + return Err(MemvidError::InvalidQuery { + reason: format!( + "Invalid PQ codes length: expected {}, got {}", + NUM_SUBSPACES, + codes.len() + ), + }); + } + + let mut vector = Vec::with_capacity(TOTAL_DIM); + + for (subspace_idx, &code) in codes.iter().enumerate() { + let centroid = self.codebooks[subspace_idx].get_centroid(code); + vector.extend_from_slice(centroid); + } + + Ok(vector) + } + + /// Compute asymmetric distance between query vector and PQ-encoded vector + /// Uses precomputed lookup tables for efficiency + #[must_use] + pub fn asymmetric_distance(&self, query: &[f32], codes: &[u8]) -> f32 { + if query.len() != TOTAL_DIM || codes.len() != NUM_SUBSPACES { + return f32::INFINITY; + } + + let mut total_dist_sq = 0.0f32; + + for subspace_idx in 0..NUM_SUBSPACES { + let start_dim = subspace_idx * SUBSPACE_DIM; + let end_dim = start_dim + SUBSPACE_DIM; + let query_subspace = &query[start_dim..end_dim]; + + let code = codes[subspace_idx]; + let centroid = self.codebooks[subspace_idx].get_centroid(code); + + total_dist_sq += l2_distance_squared(query_subspace, centroid); + } + + total_dist_sq.sqrt() + } +} + +/// Compressed vector document +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct QuantizedVecDocument { + pub frame_id: FrameId, + /// PQ codes: 96 bytes (one u8 per subspace) + pub codes: Vec, +} + +/// Builder for compressed vector index +#[derive(Default)] +pub struct QuantizedVecIndexBuilder { + documents: Vec, + quantizer: Option, +} + +impl QuantizedVecIndexBuilder { + #[must_use] + pub fn new() -> Self { + Self::default() + } + + /// Train quantizer on sample vectors before encoding + pub fn train_quantizer(&mut self, training_vectors: &[Vec], dimension: u32) -> Result<()> { + let mut pq = ProductQuantizer::new(dimension)?; + pq.train(training_vectors, 25)?; // 25 k-means iterations + self.quantizer = Some(pq); + Ok(()) + } + + /// Add document with pre-trained quantizer + pub fn add_document(&mut self, frame_id: FrameId, embedding: Vec) -> Result<()> { + let quantizer = self + .quantizer + .as_ref() + .ok_or_else(|| MemvidError::InvalidQuery { + reason: "Quantizer not trained. Call train_quantizer first".to_string(), + })?; + + let codes = quantizer.encode(&embedding)?; + + self.documents + .push(QuantizedVecDocument { frame_id, codes }); + + Ok(()) + } + + pub fn finish(self) -> Result { + let quantizer = self.quantizer.ok_or_else(|| MemvidError::InvalidQuery { + reason: "Quantizer not trained".to_string(), + })?; + + let vector_count = self.documents.len() as u64; + let bytes = + bincode::serde::encode_to_vec(&(quantizer.clone(), self.documents), vec_config())?; + let checksum = *hash(&bytes).as_bytes(); + + Ok(QuantizedVecIndexArtifact { + bytes, + vector_count, + dimension: quantizer.dimension, + checksum, + compression_ratio: 16.0, // 1536 bytes -> 96 bytes + }) + } +} + +#[derive(Debug, Clone)] +pub struct QuantizedVecIndexArtifact { + pub bytes: Vec, + pub vector_count: u64, + pub dimension: u32, + pub checksum: [u8; 32], + pub compression_ratio: f64, +} + +#[derive(Debug, Clone)] +pub struct QuantizedVecIndex { + quantizer: ProductQuantizer, + documents: Vec, +} + +impl QuantizedVecIndex { + pub fn decode(bytes: &[u8]) -> Result { + // Try decoding with current format (with dimension field) + let config = bincode::config::standard() + .with_fixed_int_encoding() + .with_little_endian() + .with_limit::(); + + if let Ok(((quantizer, documents), read)) = bincode::serde::decode_from_slice::< + (ProductQuantizer, Vec), + _, + >(bytes, config) + { + if read == bytes.len() { + return Ok(Self { + quantizer, + documents, + }); + } + } + + // Fall back to old format (without dimension field) + // Old ProductQuantizer struct without dimension field + #[derive(Debug, Clone, serde::Serialize, serde::Deserialize)] + struct OldProductQuantizer { + codebooks: Vec, + } + + let ((old_quantizer, documents), read): ( + (OldProductQuantizer, Vec), + usize, + ) = bincode::serde::decode_from_slice(bytes, config)?; + + if read != bytes.len() { + return Err(MemvidError::InvalidToc { + reason: "unsupported quantized vector index encoding".into(), + }); + } + + // Convert old format to new format + let quantizer = ProductQuantizer { + codebooks: old_quantizer.codebooks, + dimension: u32::try_from(NUM_SUBSPACES * SUBSPACE_DIM).unwrap_or(u32::MAX), + }; + + Ok(Self { + quantizer, + documents, + }) + } + + /// Search using asymmetric distance computation + #[must_use] + pub fn search(&self, query: &[f32], limit: usize) -> Vec { + if query.is_empty() { + return Vec::new(); + } + + let mut hits: Vec = self + .documents + .iter() + .map(|doc| { + let distance = self.quantizer.asymmetric_distance(query, &doc.codes); + VecSearchHit { + frame_id: doc.frame_id, + distance, + } + }) + .collect(); + + hits.sort_by(|a, b| { + a.distance + .partial_cmp(&b.distance) + .unwrap_or(std::cmp::Ordering::Equal) + }); + + hits.truncate(limit); + hits + } + + pub fn remove(&mut self, frame_id: FrameId) { + self.documents.retain(|doc| doc.frame_id != frame_id); + } + + /// Get compression statistics + #[must_use] + pub fn compression_stats(&self) -> CompressionStats { + let original_bytes = self.documents.len() * TOTAL_DIM * std::mem::size_of::(); + let compressed_bytes = self.documents.len() * NUM_SUBSPACES; // 96 bytes per vector + let codebook_bytes = + NUM_SUBSPACES * NUM_CENTROIDS * SUBSPACE_DIM * std::mem::size_of::(); + + CompressionStats { + vector_count: self.documents.len() as u64, + original_bytes: original_bytes as u64, + compressed_bytes: compressed_bytes as u64, + codebook_bytes: codebook_bytes as u64, + total_bytes: (compressed_bytes + codebook_bytes) as u64, + compression_ratio: original_bytes as f64 / (compressed_bytes + codebook_bytes) as f64, + } + } +} + +#[derive(Debug, Clone)] +pub struct CompressionStats { + pub vector_count: u64, + pub original_bytes: u64, + pub compressed_bytes: u64, + pub codebook_bytes: u64, + pub total_bytes: u64, + pub compression_ratio: f64, +} + +/// K-means clustering for a single subspace +fn kmeans(vectors: &[Vec], k: usize, max_iterations: usize) -> Result>> { + if vectors.is_empty() { + return Err(MemvidError::InvalidQuery { + reason: "Cannot run k-means on empty vector set".to_string(), + }); + } + + let dim = vectors[0].len(); + + // Initialize centroids using k-means++ for better convergence + let mut centroids = kmeans_plus_plus_init(vectors, k)?; + + for _iteration in 0..max_iterations { + // Assignment step: assign each vector to nearest centroid + let mut assignments = vec![Vec::new(); k]; + + for vec in vectors { + let mut best_cluster = 0; + let mut best_dist = f32::INFINITY; + + for (cluster_idx, centroid) in centroids.iter().enumerate() { + let dist = l2_distance_squared(vec, centroid); + if dist < best_dist { + best_dist = dist; + best_cluster = cluster_idx; + } + } + + assignments[best_cluster].push(vec.clone()); + } + + // Update step: recompute centroids + let mut changed = false; + for (cluster_idx, cluster_vecs) in assignments.iter().enumerate() { + if cluster_vecs.is_empty() { + // Empty cluster: reinitialize with random vector + centroids[cluster_idx] = vectors[cluster_idx % vectors.len()].clone(); + changed = true; + continue; + } + + let mut new_centroid = vec![0.0f32; dim]; + for vec in cluster_vecs { + for (i, &val) in vec.iter().enumerate() { + new_centroid[i] += val; + } + } + for val in &mut new_centroid { + *val /= cluster_vecs.len() as f32; + } + + // Check if centroid changed + if l2_distance_squared(¢roids[cluster_idx], &new_centroid) > 1e-6 { + changed = true; + } + + centroids[cluster_idx] = new_centroid; + } + + if !changed { + break; // Converged + } + } + + Ok(centroids) +} + +/// K-means++ initialization for better initial centroids +fn kmeans_plus_plus_init(vectors: &[Vec], k: usize) -> Result>> { + if vectors.is_empty() || k == 0 { + return Err(MemvidError::InvalidQuery { + reason: "Invalid k-means++ initialization".to_string(), + }); + } + + let mut centroids = Vec::new(); + + // Choose first centroid randomly (use first vector for determinism) + centroids.push(vectors[0].clone()); + + // Choose remaining k-1 centroids + for _ in 1..k { + let mut distances = Vec::new(); + + // Compute distance to nearest existing centroid for each vector + for vec in vectors { + let mut min_dist = f32::INFINITY; + for centroid in ¢roids { + let dist = l2_distance_squared(vec, centroid); + min_dist = min_dist.min(dist); + } + distances.push(min_dist); + } + + // Choose vector with maximum distance as next centroid + let max_idx = distances + .iter() + .enumerate() + .max_by(|(_, a), (_, b)| a.partial_cmp(b).unwrap_or(std::cmp::Ordering::Equal)) + .map_or(0, |(idx, _)| idx); + + centroids.push(vectors[max_idx].clone()); + } + + Ok(centroids) +} + +/// Squared L2 distance between two vectors +fn l2_distance_squared(a: &[f32], b: &[f32]) -> f32 { + crate::simd::l2_distance_squared_simd(a, b) +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_subspace_codebook() { + let mut codebook = SubspaceCodebook::new(); + + // Set a centroid + codebook.set_centroid(0, &[1.0, 2.0, 3.0, 4.0]); + + // Retrieve it + let centroid = codebook.get_centroid(0); + assert_eq!(centroid, &[1.0, 2.0, 3.0, 4.0]); + + // Quantize a similar vector + let code = codebook.quantize(&[1.1, 2.1, 3.1, 4.1]); + assert_eq!(code, 0); + } + + #[test] + fn test_product_quantizer_roundtrip() { + // Create sample 384-dim vectors + let mut training_vecs = Vec::new(); + for i in 0..100 { + let mut vec = vec![0.0f32; TOTAL_DIM]; + for j in 0..TOTAL_DIM { + vec[j] = ((i * TOTAL_DIM + j) % 100) as f32 / 100.0; + } + training_vecs.push(vec); + } + + // Train quantizer + let mut pq = ProductQuantizer::new(u32::try_from(TOTAL_DIM).unwrap()).unwrap(); + pq.train(&training_vecs, 10).unwrap(); + + // Encode a vector + let test_vec = &training_vecs[0]; + let codes = pq.encode(test_vec).unwrap(); + assert_eq!(codes.len(), NUM_SUBSPACES); + + // Decode and verify approximate reconstruction + let decoded = pq.decode(&codes).unwrap(); + assert_eq!(decoded.len(), TOTAL_DIM); + + // Distance between original and decoded should be small + let dist = l2_distance_squared(test_vec, &decoded).sqrt(); + assert!(dist < 10.0, "Reconstruction error too large: {}", dist); + } + + #[test] + fn test_quantized_index_builder() { + // Create sample vectors + let mut training_vecs = Vec::new(); + for i in 0..50 { + let mut vec = vec![0.0f32; TOTAL_DIM]; + for j in 0..TOTAL_DIM { + vec[j] = ((i + j) % 10) as f32; + } + training_vecs.push(vec); + } + + // Build index + let mut builder = QuantizedVecIndexBuilder::new(); + builder + .train_quantizer(&training_vecs, u32::try_from(TOTAL_DIM).unwrap()) + .unwrap(); + + for (i, vec) in training_vecs.iter().take(10).enumerate() { + builder + .add_document((i + 1) as FrameId, vec.clone()) + .unwrap(); + } + + let artifact = builder.finish().unwrap(); + assert_eq!(artifact.vector_count, 10); + assert_eq!(artifact.dimension, u32::try_from(TOTAL_DIM).unwrap()); + assert!(artifact.compression_ratio > 10.0); + + // Decode and search + let index = QuantizedVecIndex::decode(&artifact.bytes).unwrap(); + let query = &training_vecs[0]; + let hits = index.search(query, 5); + + assert!(!hits.is_empty()); + assert_eq!(hits[0].frame_id, 1); // Should find exact match first + } + + #[test] + fn test_kmeans_simple() { + let vectors = vec![ + vec![0.0, 0.0], + vec![0.1, 0.1], + vec![10.0, 10.0], + vec![10.1, 10.1], + ]; + + let centroids = kmeans(&vectors, 2, 100).unwrap(); + assert_eq!(centroids.len(), 2); + + // One centroid should be near [0, 0], the other near [10, 10] + let near_zero = centroids.iter().any(|c| c[0] < 5.0 && c[1] < 5.0); + let near_ten = centroids.iter().any(|c| c[0] > 5.0 && c[1] > 5.0); + assert!(near_zero && near_ten); + } +} diff --git a/src/whisper.rs b/src/whisper.rs new file mode 100644 index 0000000..0e82f1b --- /dev/null +++ b/src/whisper.rs @@ -0,0 +1,1198 @@ +// Safe expect: Static Whisper model lookup with guaranteed default. +#![allow(clippy::unwrap_used, clippy::expect_used)] +//! Whisper audio transcription with Candle inference. +//! +//! This module provides complete Whisper transcription functionality including: +//! - Audio decoding (MP3, WAV, FLAC, etc.) via symphonia +//! - Resampling to 16kHz via rubato +//! - Whisper model inference via candle-transformers +//! - Automatic model download from `HuggingFace` Hub + +use serde::{Deserialize, Serialize}; +use std::path::PathBuf; + +use crate::MemvidError; + +// These are only used when whisper feature is enabled +#[cfg(feature = "whisper")] +use crate::Result; +#[cfg(feature = "whisper")] +use std::path::Path; + +// ============================================================================ +// Model Registry +// ============================================================================ + +/// Quantization type for Whisper models +#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)] +pub enum QuantizationType { + /// Full precision FP32 (default, highest accuracy) + FP32, + /// 8-bit quantization (~75% smaller, ~15-20% faster) + Q8K, + /// 4-bit quantization (~87.5% smaller, ~25-30% faster) + Q4K, +} + +impl Default for QuantizationType { + fn default() -> Self { + Self::FP32 + } +} + +/// Available Whisper models with verified `HuggingFace` model IDs +#[derive(Debug, Clone)] +pub struct WhisperModelInfo { + /// Model identifier for `HuggingFace` + pub model_id: &'static str, + /// Human-readable name + pub name: &'static str, + /// Approximate model size in MB + pub size_mb: f32, + /// Whether this is the default model + pub is_default: bool, + /// Language (e.g., "en" for English-only models, "multilingual" for others) + pub language: &'static str, + /// Quantization type (FP32, Q8K, Q4K) + pub quantization: QuantizationType, + /// Model file format ("safetensors" for FP32, "gguf" for quantized) + pub file_format: &'static str, +} + +/// Available Whisper models registry +pub static WHISPER_MODELS: &[WhisperModelInfo] = &[ + // FP32 models (default, highest accuracy) + WhisperModelInfo { + model_id: "openai/whisper-small.en", + name: "whisper-small-en", + size_mb: 244.0, + is_default: true, + language: "en", + quantization: QuantizationType::FP32, + file_format: "safetensors", + }, + WhisperModelInfo { + model_id: "openai/whisper-small", + name: "whisper-small", + size_mb: 244.0, + is_default: false, + language: "multilingual", + quantization: QuantizationType::FP32, + file_format: "safetensors", + }, + // Tiny FP32 models (faster, less accurate) + WhisperModelInfo { + model_id: "openai/whisper-tiny.en", + name: "whisper-tiny-en", + size_mb: 75.0, + is_default: false, + language: "en", + quantization: QuantizationType::FP32, + file_format: "safetensors", + }, + // Q8K quantized tiny models (~75% smaller, faster) + // Uses lmz/candle-whisper quantized models from HuggingFace + WhisperModelInfo { + model_id: "lmz/candle-whisper", + name: "whisper-tiny-en-q8k", + size_mb: 19.0, + is_default: false, + language: "en", + quantization: QuantizationType::Q8K, + file_format: "gguf", + }, + WhisperModelInfo { + model_id: "lmz/candle-whisper", + name: "whisper-tiny-q8k", + size_mb: 19.0, + is_default: false, + language: "multilingual", + quantization: QuantizationType::Q8K, + file_format: "gguf", + }, +]; + +/// Get model info by name, defaults to whisper-small-en +#[must_use] +pub fn get_whisper_model_info(name: &str) -> &'static WhisperModelInfo { + WHISPER_MODELS + .iter() + .find(|m| m.name == name || m.model_id == name) + .unwrap_or_else(|| { + WHISPER_MODELS + .iter() + .find(|m| m.is_default) + .expect("default whisper model") + }) +} + +/// Get the default model info +#[must_use] +pub fn default_whisper_model_info() -> &'static WhisperModelInfo { + WHISPER_MODELS + .iter() + .find(|m| m.is_default) + .expect("default whisper model exists") +} + +// ============================================================================ +// Whisper Model Configuration +// ============================================================================ + +/// Configuration for Whisper model initialization +#[derive(Debug, Clone)] +pub struct WhisperConfig { + /// Model name (e.g., "whisper-small-en") + pub model_name: String, + /// Directory where models are cached + pub models_dir: PathBuf, + /// Whether to run in offline mode (no downloads) + pub offline: bool, +} + +impl Default for WhisperConfig { + fn default() -> Self { + let models_dir = std::env::var("MEMVID_MODELS_DIR") + .ok() + .map(PathBuf::from) + .or_else(|| dirs_next::home_dir().map(|d| d.join(".memvid/models"))) + .unwrap_or_else(|| PathBuf::from(".memvid/models")); + + let model_name = std::env::var("MEMVID_WHISPER_MODEL") + .unwrap_or_else(|_| "whisper-small-en".to_string()); + + let offline = std::env::var("MEMVID_OFFLINE").is_ok(); + + Self { + model_name, + models_dir, + offline, + } + } +} + +impl WhisperConfig { + /// Create config with Q8K quantized tiny model (~19 MB, very fast) + /// + /// Uses lmz/candle-whisper quantized models from HuggingFace. + /// Trade-off: Lower accuracy than whisper-small, but much faster. + #[must_use] + pub fn with_quantization() -> Self { + Self { + model_name: "whisper-tiny-en-q8k".to_string(), + ..Default::default() + } + } + + /// Create config with specific model name + #[must_use] + pub fn with_model(model_name: impl Into) -> Self { + Self { + model_name: model_name.into(), + ..Default::default() + } + } + + /// Create config for multilingual Q8K quantized tiny model + #[must_use] + pub fn multilingual_quantized() -> Self { + Self { + model_name: "whisper-tiny-q8k".to_string(), + ..Default::default() + } + } + + /// Create config for tiny FP32 model (75 MB, faster than small) + #[must_use] + pub fn tiny() -> Self { + Self { + model_name: "whisper-tiny-en".to_string(), + ..Default::default() + } + } +} + +// ============================================================================ +// Whisper Error Types +// ============================================================================ + +/// Whisper-specific errors +#[derive(Debug, thiserror::Error)] +pub enum WhisperError { + /// Model not found + #[error("Whisper model '{model}' not found. {hint}")] + ModelNotFound { model: String, hint: String }, + + /// Audio decode failed + #[error("Failed to decode audio at {path:?}: {cause}")] + AudioDecodeError { path: PathBuf, cause: String }, + + /// Audio bytes decode failed + #[error("Failed to decode audio bytes: {cause}")] + AudioBytesDecodeError { cause: String }, + + /// Inference error + #[error("Whisper inference error: {cause}")] + InferenceError { cause: String }, + + /// Model download failed + #[error("Failed to download Whisper model: {cause}")] + DownloadError { cause: String }, +} + +impl From for MemvidError { + fn from(err: WhisperError) -> Self { + MemvidError::ExtractionFailed { + reason: err.to_string().into_boxed_str(), + } + } +} + +// ============================================================================ +// Transcription Result +// ============================================================================ + +/// Result of audio transcription +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct TranscriptionResult { + /// The transcribed text + pub text: String, + /// Language detected or specified + pub language: String, + /// Duration of audio in seconds + pub duration_secs: f32, + /// Optional timestamps for segments + #[serde(default)] + pub segments: Vec, +} + +/// A segment of transcription with timestamps +#[derive(Debug, Clone, Serialize, Deserialize)] +pub struct TranscriptionSegment { + /// Start time in seconds + pub start: f32, + /// End time in seconds + pub end: f32, + /// Transcribed text for this segment + pub text: String, +} + +// ============================================================================ +// Audio Decoding (Feature-gated) +// ============================================================================ + +#[cfg(feature = "whisper")] +mod audio { + use super::*; + use std::fs::File; + use symphonia::core::audio::SampleBuffer; + use symphonia::core::codecs::DecoderOptions; + use symphonia::core::formats::FormatOptions; + use symphonia::core::io::MediaSourceStream; + use symphonia::core::meta::MetadataOptions; + use symphonia::core::probe::Hint; + + /// Whisper sample rate (always 16kHz) + pub const WHISPER_SAMPLE_RATE: u32 = 16000; + + /// Decode audio file to f32 samples, resampling to 16kHz mono + pub fn decode_audio_file(path: &Path) -> Result<(Vec, f32)> { + let file = File::open(path).map_err(|e| WhisperError::AudioDecodeError { + path: path.to_path_buf(), + cause: e.to_string(), + })?; + + let mss = MediaSourceStream::new(Box::new(file), Default::default()); + + // Create a hint based on file extension + let mut hint = Hint::new(); + if let Some(ext) = path.extension().and_then(|e| e.to_str()) { + hint.with_extension(ext); + } + + // Probe the media source + let format_opts = FormatOptions::default(); + let metadata_opts = MetadataOptions::default(); + let probed = symphonia::default::get_probe() + .format(&hint, mss, &format_opts, &metadata_opts) + .map_err(|e| WhisperError::AudioDecodeError { + path: path.to_path_buf(), + cause: format!("Failed to probe audio format: {}", e), + })?; + + let mut format = probed.format; + + // Find the first audio track + let track = format + .tracks() + .iter() + .find(|t| t.codec_params.codec != symphonia::core::codecs::CODEC_TYPE_NULL) + .ok_or_else(|| WhisperError::AudioDecodeError { + path: path.to_path_buf(), + cause: "No audio track found".to_string(), + })?; + + let track_id = track.id; + let sample_rate = track.codec_params.sample_rate.unwrap_or(44100); + let channels = track.codec_params.channels.map(|c| c.count()).unwrap_or(2); + + // Create decoder + let decoder_opts = DecoderOptions::default(); + let mut decoder = symphonia::default::get_codecs() + .make(&track.codec_params, &decoder_opts) + .map_err(|e| WhisperError::AudioDecodeError { + path: path.to_path_buf(), + cause: format!("Failed to create decoder: {}", e), + })?; + + let mut samples: Vec = Vec::new(); + + // Decode all packets + loop { + let packet = match format.next_packet() { + Ok(p) => p, + Err(symphonia::core::errors::Error::IoError(e)) + if e.kind() == std::io::ErrorKind::UnexpectedEof => + { + break; + } + Err(_) => break, + }; + + if packet.track_id() != track_id { + continue; + } + + let decoded = match decoder.decode(&packet) { + Ok(d) => d, + Err(_) => continue, + }; + + let spec = *decoded.spec(); + let num_frames = decoded.frames(); + + if num_frames == 0 { + continue; + } + + let mut sample_buf = SampleBuffer::::new(num_frames as u64, spec); + sample_buf.copy_interleaved_ref(decoded); + + let interleaved = sample_buf.samples(); + + // Convert to mono by averaging channels + if channels > 1 { + for chunk in interleaved.chunks(channels) { + let mono: f32 = chunk.iter().sum::() / channels as f32; + samples.push(mono); + } + } else { + samples.extend_from_slice(interleaved); + } + } + + let duration_secs = samples.len() as f32 / sample_rate as f32; + + // Log pre-resampling stats + let pre_min = samples.iter().cloned().fold(f32::INFINITY, f32::min); + let pre_max = samples.iter().cloned().fold(f32::NEG_INFINITY, f32::max); + let pre_rms = (samples.iter().map(|x| x * x).sum::() / samples.len() as f32).sqrt(); + tracing::info!( + sample_rate = sample_rate, + channels = channels, + samples_before = samples.len(), + pre_min = pre_min, + pre_max = pre_max, + pre_rms = pre_rms, + "Audio before resampling" + ); + + // High-quality sinc resampling to 16kHz + let samples = if sample_rate != WHISPER_SAMPLE_RATE { + let resampled = resample_sinc(&samples, sample_rate, WHISPER_SAMPLE_RATE); + + // Log post-resampling stats + let post_min = resampled.iter().cloned().fold(f32::INFINITY, f32::min); + let post_max = resampled.iter().cloned().fold(f32::NEG_INFINITY, f32::max); + let post_rms = + (resampled.iter().map(|x| x * x).sum::() / resampled.len() as f32).sqrt(); + tracing::info!( + samples_after = resampled.len(), + post_min = post_min, + post_max = post_max, + post_rms = post_rms, + "Audio after resampling" + ); + resampled + } else { + tracing::info!("Audio already at 16kHz, no resampling needed"); + samples + }; + + Ok((samples, duration_secs)) + } + + /// Simple linear interpolation resampling + /// Note: rubato 1.0 changed API to require audio_core buffer types. + /// Using simple linear interpolation which is sufficient for Whisper mel spectrogram input. + fn resample_sinc(samples: &[f32], from_rate: u32, to_rate: u32) -> Vec { + if from_rate == to_rate { + return samples.to_vec(); + } + + let ratio = to_rate as f64 / from_rate as f64; + let output_len = (samples.len() as f64 * ratio).ceil() as usize; + let mut output = Vec::with_capacity(output_len); + + for i in 0..output_len { + let src_pos = i as f64 / ratio; + let src_idx = src_pos.floor() as usize; + let frac = (src_pos - src_idx as f64) as f32; + + if src_idx + 1 < samples.len() { + // Linear interpolation between samples + let sample = samples[src_idx] * (1.0 - frac) + samples[src_idx + 1] * frac; + output.push(sample); + } else if src_idx < samples.len() { + output.push(samples[src_idx]); + } + } + + output + } +} + +#[cfg(feature = "whisper")] +pub use audio::*; + +// ============================================================================ +// Whisper Transcriber (Candle Inference) +// ============================================================================ + +#[cfg(feature = "whisper")] +mod inference { + use super::*; + use candle_core::{DType, Device, IndexOp, Tensor}; + use candle_nn::VarBuilder; + use candle_transformers::models::whisper::{self as m, Config, audio}; + use hf_hub::{Repo, RepoType, api::sync::Api}; + use tokenizers::Tokenizer; + + /// Whisper model wrapper for transcription + pub struct WhisperTranscriber { + model: Model, + tokenizer: Tokenizer, + config: Config, + mel_filters: Vec, + device: Device, + } + + #[allow(dead_code)] + enum Model { + Normal(m::model::Whisper), + Quantized(m::quantized_model::Whisper), + } + + impl WhisperTranscriber { + /// Create a new WhisperTranscriber, downloading the model if needed + pub fn new(config: &WhisperConfig) -> Result { + // Use GPU if available: Metal (macOS) or CUDA (NVIDIA) + let device = Self::select_device(); + tracing::info!(device = ?device, "Using device for Whisper"); + + // Get model info from registry + let model_info = get_whisper_model_info(&config.model_name); + let is_quantized = model_info.quantization != QuantizationType::FP32; + + tracing::info!( + model_name = %config.model_name, + model_id = %model_info.model_id, + quantization = ?model_info.quantization, + file_format = %model_info.file_format, + "Loading Whisper model" + ); + + let api = Api::new().map_err(|e| WhisperError::DownloadError { + cause: e.to_string(), + })?; + let repo = api.repo(Repo::with_revision( + model_info.model_id.to_string(), + RepoType::Model, + "main".to_string(), + )); + + // Download config and tokenizer files + // For quantized models, config/tokenizer come from the base OpenAI model + let (config_path, tokenizer_path) = if is_quantized { + // Quantized tiny models need config from openai/whisper-tiny + let base_model_id = match model_info.language { + "en" => "openai/whisper-tiny.en", + _ => "openai/whisper-tiny", + }; + let base_repo = api.repo(Repo::with_revision( + base_model_id.to_string(), + RepoType::Model, + "main".to_string(), + )); + + let cfg = + base_repo + .get("config.json") + .map_err(|e| WhisperError::DownloadError { + cause: format!("Failed to download config.json: {}", e), + })?; + let tok = + base_repo + .get("tokenizer.json") + .map_err(|e| WhisperError::DownloadError { + cause: format!("Failed to download tokenizer.json: {}", e), + })?; + (cfg, tok) + } else { + let cfg = repo + .get("config.json") + .map_err(|e| WhisperError::DownloadError { + cause: format!("Failed to download config.json: {}", e), + })?; + let tok = repo + .get("tokenizer.json") + .map_err(|e| WhisperError::DownloadError { + cause: format!("Failed to download tokenizer.json: {}", e), + })?; + (cfg, tok) + }; + + // Load config + let config_str = std::fs::read_to_string(&config_path).map_err(|e| { + WhisperError::InferenceError { + cause: format!("Failed to read config: {}", e), + } + })?; + let model_config: Config = + serde_json::from_str(&config_str).map_err(|e| WhisperError::InferenceError { + cause: format!("Failed to parse config: {}", e), + })?; + + // Load tokenizer + let tokenizer = Tokenizer::from_file(&tokenizer_path).map_err(|e| { + WhisperError::InferenceError { + cause: format!("Failed to load tokenizer: {}", e), + } + })?; + + // Load mel filters + let mel_bytes = match model_config.num_mel_bins { + 80 => include_bytes!("melfilters.bytes").as_slice(), + 128 => include_bytes!("melfilters128.bytes").as_slice(), + n => { + return Err(WhisperError::InferenceError { + cause: format!("Unsupported number of mel bins: {}", n), + } + .into()); + } + }; + let mut mel_filters = vec![0f32; mel_bytes.len() / 4]; + ::read_f32_into( + mel_bytes, + &mut mel_filters, + ); + + // Load model based on quantization type + let model = match model_info.quantization { + QuantizationType::FP32 => { + // Download and load FP32 safetensors model + let model_path = + repo.get("model.safetensors") + .map_err(|e| WhisperError::DownloadError { + cause: format!("Failed to download model.safetensors: {}", e), + })?; + + let vb = unsafe { + VarBuilder::from_mmaped_safetensors(&[model_path], DType::F32, &device) + .map_err(|e| WhisperError::InferenceError { + cause: format!("Failed to load model weights: {}", e), + })? + }; + Model::Normal(m::model::Whisper::load(&vb, model_config.clone()).map_err( + |e| WhisperError::InferenceError { + cause: format!("Failed to load Whisper model: {}", e), + }, + )?) + } + QuantizationType::Q8K | QuantizationType::Q4K => { + // Download and load quantized GGUF model from lmz/candle-whisper + // Available files: model-tiny-en-q80.gguf, model-tiny-q80.gguf, etc. + let gguf_filename = match (model_info.language, model_info.quantization) { + ("en", QuantizationType::Q8K) => "model-tiny-en-q80.gguf", + ("en", QuantizationType::Q4K) => "model-tiny-en-q40.gguf", + (_, QuantizationType::Q8K) => "model-tiny-q80.gguf", + (_, QuantizationType::Q4K) => "model-tiny-q40.gguf", + _ => "model-tiny-q80.gguf", + }; + + let model_path = + repo.get(gguf_filename) + .map_err(|e| WhisperError::DownloadError { + cause: format!("Failed to download {}: {}", gguf_filename, e), + })?; + + tracing::info!( + gguf_file = %gguf_filename, + quantization = ?model_info.quantization, + "Loading quantized GGUF model" + ); + + let vb = candle_transformers::quantized_var_builder::VarBuilder::from_gguf( + &model_path, + &device, + ) + .map_err(|e| WhisperError::InferenceError { + cause: format!("Failed to load quantized model: {}", e), + })?; + + Model::Quantized( + m::quantized_model::Whisper::load(&vb, model_config.clone()).map_err( + |e| WhisperError::InferenceError { + cause: format!("Failed to load quantized Whisper model: {}", e), + }, + )?, + ) + } + }; + + tracing::info!("Whisper model loaded successfully"); + + Ok(Self { + model, + tokenizer, + config: model_config, + mel_filters, + device, + }) + } + + /// Select the best available device (GPU if available, otherwise CPU) + fn select_device() -> Device { + // Try Metal (macOS Apple Silicon / AMD) + #[cfg(feature = "metal")] + { + if let Ok(device) = Device::new_metal(0) { + tracing::info!("Metal GPU available"); + return device; + } + } + + // Try CUDA (NVIDIA GPUs) + #[cfg(feature = "cuda")] + { + if let Ok(device) = Device::new_cuda(0) { + tracing::info!("CUDA GPU available"); + return device; + } + } + + // Fallback to CPU + tracing::info!("Using CPU (no GPU acceleration)"); + Device::Cpu + } + + /// Transcribe an audio file + pub fn transcribe_file(&mut self, path: &Path) -> Result { + // Decode audio to PCM + let (pcm_data, duration_secs) = super::decode_audio_file(path)?; + + // Check audio statistics + let audio_min = pcm_data.iter().cloned().fold(f32::INFINITY, f32::min); + let audio_max = pcm_data.iter().cloned().fold(f32::NEG_INFINITY, f32::max); + let audio_mean = pcm_data.iter().sum::() / pcm_data.len() as f32; + let audio_rms = + (pcm_data.iter().map(|x| x * x).sum::() / pcm_data.len() as f32).sqrt(); + + tracing::info!( + duration = duration_secs, + samples = pcm_data.len(), + min = audio_min, + max = audio_max, + mean = audio_mean, + rms = audio_rms, + "Audio decoded" + ); + + self.transcribe_pcm(&pcm_data, duration_secs) + } + + /// Transcribe PCM audio samples (16kHz mono f32) + pub fn transcribe_pcm( + &mut self, + pcm_data: &[f32], + duration_secs: f32, + ) -> Result { + // Whisper processes audio in 30-second chunks + const CHUNK_LENGTH: usize = 30 * 16000; // 30 seconds at 16kHz + const N_FRAMES: usize = 3000; // frames per chunk + const SAMPLE_RATE: f32 = 16000.0; + + // Detect and trim leading silence + let silence_threshold = 0.01; // RMS threshold for silence + let window_size = 1600; // 100ms windows at 16kHz + + let start_sample = find_speech_start(pcm_data, silence_threshold, window_size); + let end_sample = find_speech_end(pcm_data, silence_threshold, window_size); + + let trimmed_start = start_sample as f32 / SAMPLE_RATE; + let trimmed_end = end_sample as f32 / SAMPLE_RATE; + + tracing::info!( + start_sample = start_sample, + end_sample = end_sample, + trimmed_start_sec = trimmed_start, + trimmed_end_sec = trimmed_end, + original_duration = duration_secs, + "Trimmed silence" + ); + + // Use trimmed audio + let pcm_data = &pcm_data[start_sample..end_sample]; + let _trimmed_duration = pcm_data.len() as f32 / SAMPLE_RATE; + + let mut all_text = String::new(); + let mut segments = Vec::new(); + + // Process audio in chunks + let num_chunks = (pcm_data.len() + CHUNK_LENGTH - 1) / CHUNK_LENGTH; + + for chunk_idx in 0..num_chunks { + let chunk_start = chunk_idx * CHUNK_LENGTH; + let chunk_end = (chunk_start + CHUNK_LENGTH).min(pcm_data.len()); + let chunk = &pcm_data[chunk_start..chunk_end]; + + // Adjust timestamps to account for trimmed silence + let start_time = trimmed_start + chunk_start as f32 / SAMPLE_RATE; + let end_time = trimmed_start + chunk_end as f32 / SAMPLE_RATE; + + tracing::info!( + chunk = chunk_idx + 1, + total = num_chunks, + start = start_time, + end = end_time, + "Processing chunk" + ); + + // Reset decoder KV cache for each new chunk + match &mut self.model { + Model::Normal(m) => m.decoder.reset_kv_cache(), + Model::Quantized(m) => m.decoder.reset_kv_cache(), + } + + // Convert chunk to mel spectrogram + let mel = audio::pcm_to_mel(&self.config, chunk, &self.mel_filters); + let n_mels = self.config.num_mel_bins; + let mel_len = mel.len(); + let n_frames = mel_len / n_mels; + + if chunk_idx == 0 { + // Print config for debugging + tracing::info!( + num_mel_bins = self.config.num_mel_bins, + max_source_positions = self.config.max_source_positions, + max_target_positions = self.config.max_target_positions, + "Model config" + ); + + // Mel statistics + let mel_min = mel.iter().cloned().fold(f32::INFINITY, f32::min); + let mel_max = mel.iter().cloned().fold(f32::NEG_INFINITY, f32::max); + let mel_mean = mel.iter().sum::() / mel.len() as f32; + + tracing::info!( + mel_len = mel_len, + n_mels = n_mels, + n_frames = n_frames, + chunk_samples = chunk.len(), + expected_frames = 3000, + mel_min = mel_min, + mel_max = mel_max, + mel_mean = mel_mean, + "Mel spectrogram computed" + ); + } + + // Ensure we have exactly 3000 frames (pad or truncate) + // NOTE: mel array from pcm_to_mel is stored as [mel_bin_0_all_frames, mel_bin_1_all_frames, ...] + // So each mel bin has n_frames contiguous values: mel[bin * n_frames + frame] + let mel = if n_frames < N_FRAMES { + // Pad each mel bin's frames with zeros to reach N_FRAMES + let mut padded = vec![0.0f32; n_mels * N_FRAMES]; + for bin in 0..n_mels { + let src_start = bin * n_frames; + let dst_start = bin * N_FRAMES; + padded[dst_start..dst_start + n_frames] + .copy_from_slice(&mel[src_start..src_start + n_frames]); + } + padded + } else if n_frames > N_FRAMES { + // Truncate each mel bin's frames to N_FRAMES + let mut truncated = vec![0.0f32; n_mels * N_FRAMES]; + for bin in 0..n_mels { + let src_start = bin * n_frames; + let dst_start = bin * N_FRAMES; + truncated[dst_start..dst_start + N_FRAMES] + .copy_from_slice(&mel[src_start..src_start + N_FRAMES]); + } + truncated + } else { + mel + }; + + let mel = + Tensor::from_vec(mel, (1, n_mels, N_FRAMES), &self.device).map_err(|e| { + WhisperError::InferenceError { + cause: format!("Failed to create mel tensor: {}", e), + } + })?; + + if chunk_idx == 0 { + let mel_shape = mel.shape(); + tracing::info!( + mel_shape = ?mel_shape, + "Mel tensor shape" + ); + } + + // Run encoder + let audio_features = match &mut self.model { + Model::Normal(m) => m.encoder.forward(&mel, true), + Model::Quantized(m) => m.encoder.forward(&mel, true), + } + .map_err(|e| WhisperError::InferenceError { + cause: format!("Encoder forward failed: {}", e), + })?; + + if chunk_idx == 0 { + let af_shape = audio_features.shape(); + tracing::info!( + audio_features_shape = ?af_shape, + "Audio features from encoder" + ); + } + + // Get special token IDs + let sot_token = self.token_id(m::SOT_TOKEN)?; + let transcribe_token = self.token_id(m::TRANSCRIBE_TOKEN)?; + let eot_token = self.token_id(m::EOT_TOKEN)?; + let no_timestamps_token = self.token_id(m::NO_TIMESTAMPS_TOKEN)?; + + if chunk_idx == 0 { + let en_token = self.tokenizer.token_to_id("<|en|>"); + tracing::info!( + sot = sot_token, + transcribe = transcribe_token, + eot = eot_token, + no_timestamps = no_timestamps_token, + en_token = ?en_token, + "Special tokens" + ); + } + + // Build initial prompt + // For English-only models (*.en), we DON'T use language token + // For multilingual models, we add language token after sot_token + let has_language_token = self.tokenizer.token_to_id("<|en|>").is_some(); + + // English-only models have vocab size 51864, multilingual have 51865 + let is_english_only = self.config.vocab_size == 51864; + + let tokens = if is_english_only { + // English-only: SOT -> transcribe -> notimestamps + vec![sot_token, transcribe_token, no_timestamps_token] + } else if has_language_token { + // Multilingual: SOT -> language -> transcribe -> notimestamps + let language_token = self.token_id("<|en|>")?; + vec![ + sot_token, + language_token, + transcribe_token, + no_timestamps_token, + ] + } else { + // Fallback + vec![sot_token, transcribe_token, no_timestamps_token] + }; + + if chunk_idx == 0 { + tracing::info!( + is_english_only = is_english_only, + vocab_size = self.config.vocab_size, + prompt_tokens = ?tokens, + "Initial prompt" + ); + } + let mut all_tokens = tokens.clone(); + + // Autoregressive decoding with token suppression + let sample_len = self.config.max_target_positions / 2; + let mut repeat_count = 0; + let mut last_token: Option = None; + + // Build suppression mask + let suppress_tokens = &self.config.suppress_tokens; + + for i in 0..sample_len { + // For autoregressive decoding with KV cache: + // - First iteration: pass all prompt tokens, flush_kv_cache=true + // - Subsequent iterations: pass only the new token, flush_kv_cache=false + let tokens_tensor = Tensor::new(all_tokens.as_slice(), &self.device) + .and_then(|t| t.unsqueeze(0)) + .map_err(|e| WhisperError::InferenceError { + cause: format!("Failed to create tokens tensor: {}", e), + })?; + + if chunk_idx == 0 && i < 3 { + tracing::info!( + step = i, + all_tokens_len = all_tokens.len(), + tokens_shape = ?tokens_tensor.shape(), + "Decoder input" + ); + } + + // Get hidden states from decoder, then project to vocabulary + // Always pass all tokens (candle doesn't use KV cache the same way as PyTorch) + let logits = match &mut self.model { + Model::Normal(m) => { + let hidden = m + .decoder + .forward(&tokens_tensor, &audio_features, true) + .map_err(|e| WhisperError::InferenceError { + cause: format!("Decoder forward failed: {}", e), + })?; + m.decoder.final_linear(&hidden).map_err(|e| { + WhisperError::InferenceError { + cause: format!("Final linear failed: {}", e), + } + })? + } + Model::Quantized(m) => { + let hidden = m + .decoder + .forward(&tokens_tensor, &audio_features, true) + .map_err(|e| WhisperError::InferenceError { + cause: format!("Decoder forward failed: {}", e), + })?; + m.decoder.final_linear(&hidden).map_err(|e| { + WhisperError::InferenceError { + cause: format!("Final linear failed: {}", e), + } + })? + } + }; + + if chunk_idx == 0 && i == 0 { + tracing::info!( + logits_shape = ?logits.shape(), + "Decoder output logits" + ); + } + + // Get logits for last position + let (_, seq_len, _) = + logits.dims3().map_err(|e| WhisperError::InferenceError { + cause: format!("Failed to get logits dims: {}", e), + })?; + let mut logits_vec = logits + .i((0, seq_len - 1, ..)) + .and_then(|t| t.to_vec1::()) + .map_err(|e| WhisperError::InferenceError { + cause: format!("Failed to extract logits: {}", e), + })?; + + // Apply token suppression from config + for &token_id in suppress_tokens.iter() { + if (token_id as usize) < logits_vec.len() { + logits_vec[token_id as usize] = f32::NEG_INFINITY; + } + } + + // Suppress EOT token for first few steps to allow generation + if all_tokens.len() < 10 { + logits_vec[eot_token as usize] = f32::NEG_INFINITY; + } + + // Suppress all special tokens during generation: + // - SOT (50257), language tokens (50258-50261), task tokens (50358-50359), + // - no_timestamps (50362), and timestamp tokens (50363+) + logits_vec[sot_token as usize] = f32::NEG_INFINITY; + logits_vec[transcribe_token as usize] = f32::NEG_INFINITY; + logits_vec[no_timestamps_token as usize] = f32::NEG_INFINITY; + // Suppress all tokens from 50257 onward (special tokens) except those in normal vocab + for token_id in 50257..logits_vec.len() { + logits_vec[token_id] = f32::NEG_INFINITY; + } + + if chunk_idx == 0 && i == 0 { + tracing::info!( + suppress_count = suppress_tokens.len(), + eot_suppressed = all_tokens.len() < 10, + "Applied token suppression" + ); + } + + // Find argmax + let next_token = logits_vec + .iter() + .enumerate() + .max_by(|(_, a), (_, b)| { + a.partial_cmp(b).unwrap_or(std::cmp::Ordering::Equal) + }) + .map(|(idx, _)| idx as u32) + .unwrap_or(eot_token); + + if chunk_idx == 0 && i < 5 { + let max_logit = + logits_vec.iter().cloned().fold(f32::NEG_INFINITY, f32::max); + let min_logit = logits_vec.iter().cloned().fold(f32::INFINITY, f32::min); + tracing::info!( + step = i, + next_token = next_token, + max_logit = max_logit, + min_logit = min_logit, + "Decoding step" + ); + } + + if next_token == eot_token || next_token >= self.config.vocab_size as u32 { + if chunk_idx == 0 && i < 5 { + tracing::info!( + next_token = next_token, + eot = eot_token, + "Stopping: EOT or invalid token" + ); + } + break; + } + + // Check for excessive repetition (stop if same token repeats >3 times) + if Some(next_token) == last_token { + repeat_count += 1; + if repeat_count > 3 { + tracing::debug!("Breaking due to token repetition"); + break; + } + } else { + repeat_count = 0; + } + last_token = Some(next_token); + + all_tokens.push(next_token); + } + + // Decode tokens to text for this chunk + let prompt_len = if is_english_only { 3 } else { 4 }; + + if chunk_idx == 0 { + tracing::info!( + prompt_tokens = ?&all_tokens[..prompt_len], + generated_tokens = ?&all_tokens[prompt_len..], + total = all_tokens.len(), + "Generated tokens for chunk" + ); + } + + let chunk_text = self + .tokenizer + .decode(&all_tokens[prompt_len..], true) // Skip prompt tokens + .map_err(|e| WhisperError::InferenceError { + cause: format!("Failed to decode tokens: {}", e), + })?; + + let trimmed_text = chunk_text.trim(); + if !trimmed_text.is_empty() { + if !all_text.is_empty() { + all_text.push(' '); + } + all_text.push_str(trimmed_text); + + segments.push(TranscriptionSegment { + start: start_time, + end: end_time, + text: trimmed_text.to_string(), + }); + } + } + + Ok(TranscriptionResult { + text: all_text.trim().to_string(), + language: "en".to_string(), + duration_secs, + segments, + }) + } + + fn token_id(&self, token: &str) -> Result { + self.tokenizer.token_to_id(token).ok_or_else(|| { + WhisperError::InferenceError { + cause: format!("Token '{}' not found in vocabulary", token), + } + .into() + }) + } + } + + /// Find the sample index where speech starts (after leading silence) + fn find_speech_start(samples: &[f32], threshold: f32, window_size: usize) -> usize { + for i in (0..samples.len()).step_by(window_size) { + let end = (i + window_size).min(samples.len()); + let window = &samples[i..end]; + let rms = (window.iter().map(|x| x * x).sum::() / window.len() as f32).sqrt(); + if rms > threshold { + // Found speech, go back a bit to not cut off the start + return i.saturating_sub(window_size); + } + } + 0 // No silence found, return start + } + + /// Find the sample index where speech ends (before trailing silence) + fn find_speech_end(samples: &[f32], threshold: f32, window_size: usize) -> usize { + for i in (0..samples.len()).rev().step_by(window_size) { + let start = i.saturating_sub(window_size); + let window = &samples[start..=i.min(samples.len() - 1)]; + let rms = (window.iter().map(|x| x * x).sum::() / window.len() as f32).sqrt(); + if rms > threshold { + // Found speech, go forward a bit to not cut off the end + return (i + window_size).min(samples.len()); + } + } + samples.len() // No silence found, return end + } +} + +#[cfg(feature = "whisper")] +pub use inference::WhisperTranscriber; + +// ============================================================================ +// Tests +// ============================================================================ + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn whisper_model_registry() { + let default = default_whisper_model_info(); + assert_eq!(default.name, "whisper-small-en"); + assert!(default.is_default); + assert_eq!(default.language, "en"); + + // Unknown model returns default + let unknown = get_whisper_model_info("nonexistent"); + assert_eq!(unknown.name, "whisper-small-en"); + } + + #[test] + fn whisper_config_defaults() { + let config = WhisperConfig::default(); + assert_eq!(config.model_name, "whisper-small-en"); + } +} diff --git a/tests/crash_recovery.rs b/tests/crash_recovery.rs new file mode 100644 index 0000000..d116f84 --- /dev/null +++ b/tests/crash_recovery.rs @@ -0,0 +1,62 @@ +use std::fs::OpenOptions; +use std::io::{Seek, SeekFrom, Write}; + +use memvid_core::{DoctorOptions, DoctorStatus, Memvid, MemvidError}; + +#[test] +#[cfg(not(target_os = "windows"))] // Windows file locking prevents proper corruption simulation +fn doctor_recovers_from_corrupted_commit_footer_single_commit() { + let dir = tempfile::tempdir().expect("tmp"); + let path = dir.path().join("corrupt-footer.mv2"); + + { + let mut mem = Memvid::create(&path).expect("create"); + mem.put_bytes(b"hello world").expect("put"); + mem.commit().expect("commit"); + } + + // Corrupt the final bytes of the commit footer. This simulates an interrupted/partial write + // at the end of the file (e.g., crash during sync). + { + let mut file = OpenOptions::new() + .read(true) + .write(true) + .open(&path) + .expect("open mv2"); + let len = file.metadata().expect("stat").len(); + assert!(len > 16, "mv2 too small to corrupt footer"); + file.seek(SeekFrom::End(-16)).expect("seek footer tail"); + file.write_all(&[0u8; 16]).expect("corrupt footer tail"); + file.sync_all().expect("sync"); + } + + // Snapshot reads are strict: without a valid commit footer, they fail fast. + let err = Memvid::open_read_only(&path) + .err() + .expect("expected open_read_only to fail on corrupted footer"); + match err { + MemvidError::InvalidToc { reason } => { + let reason = reason.to_string(); + assert!( + reason.contains("no valid commit footer") + || reason.contains("commit footer") + || reason.contains("footer"), + "unexpected invalid toc reason: {reason}" + ); + } + other => panic!("unexpected error: {other}"), + } + + // Exclusive opens can recover the TOC even when the footer is corrupted. + Memvid::open(&path).expect("open with recovery"); + + // Doctor should rewrite a clean TOC+footer so snapshot reads succeed again. + let report = Memvid::doctor(&path, DoctorOptions::default()).expect("doctor"); + assert!( + matches!(report.status, DoctorStatus::Healed | DoctorStatus::Clean), + "unexpected doctor status: {:?}", + report.status + ); + + Memvid::open_read_only(&path).expect("open_read_only after doctor"); +} diff --git a/tests/doctor_recovery.rs b/tests/doctor_recovery.rs new file mode 100644 index 0000000..a0faebc --- /dev/null +++ b/tests/doctor_recovery.rs @@ -0,0 +1,748 @@ +//! Integration tests for doctor recovery functionality. +//! These tests ensure that doctor can reliably recover corrupted files. + +use std::fs::{read, write}; +use tempfile::{NamedTempFile, TempDir}; + +use memvid_core::{ + DoctorOptions, DoctorPhaseKind, DoctorStatus, HEADER_SIZE, Memvid, PutOptions, SearchRequest, + io::header::HeaderCodec, +}; + +/// Windows needs extra time for Tantivy to release file handles. +/// Without this delay, TempDir cleanup fails with "Access is denied". +#[cfg(target_os = "windows")] +fn windows_file_handle_delay() { + std::thread::sleep(std::time::Duration::from_millis(100)); +} + +#[cfg(not(target_os = "windows"))] +fn windows_file_handle_delay() { + // No-op on Unix systems +} + +/// Test that doctor can rebuild a Tantivy-based lex index from scratch. +#[test] +#[cfg(feature = "lex")] +fn doctor_rebuilds_tantivy_index() { + let temp = NamedTempFile::new().unwrap(); + let path = temp.path(); + + // Step 1: Create file with Tantivy index and add documents + { + let mut mem = Memvid::create(path).unwrap(); + mem.enable_lex().unwrap(); + + // Add 100 test documents with searchable content + for i in 0..100 { + let content = format!( + "This is test document number {} with searchable content about quantum physics and classical mechanics", + i + ); + let options = PutOptions { + uri: Some(format!("mv2://doc{}", i)), + title: Some(format!("Document {}", i)), + search_text: Some(content.clone()), + ..Default::default() + }; + mem.put_bytes_with_options(content.as_bytes(), options) + .unwrap(); + } + + mem.commit().unwrap(); + } + // Windows needs extra time for Tantivy to release file handles + windows_file_handle_delay(); + + // Step 2: Verify search works before doctor rebuild + { + let mut mem = Memvid::open_read_only(path).unwrap(); + let results = mem + .search(SearchRequest { + query: "document".to_string(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }) + .unwrap(); + + assert!( + !results.hits.is_empty(), + "Search should return results before doctor" + ); + assert!(results.total_hits >= 10, "Should have at least 10 hits"); + } + // Windows needs extra time for Tantivy to release file handles + windows_file_handle_delay(); + + // Step 3: Run doctor to rebuild indexes + { + let report = Memvid::doctor( + path, + DoctorOptions { + rebuild_lex_index: true, + rebuild_time_index: true, // Must rebuild time index with lex index + rebuild_vec_index: false, + vacuum: false, + dry_run: false, + quiet: true, + }, + ) + .unwrap(); + + // Doctor ran - we'll verify it worked by testing search below + // Note: Doctor may report Failed if verification is strict, but rebuilt indexes may still work + // Note: Doctor may report Failed if verification is strict, but rebuilt indexes may still work + eprintln!("Doctor status: {:?}", report.status); + } + // Windows needs extra time for Tantivy to release file handles + windows_file_handle_delay(); + + // Step 4: Verify search still works after doctor rebuild + { + let mut mem = Memvid::open_read_only(path).unwrap(); + let results = mem + .search(SearchRequest { + query: "document".to_string(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }) + .unwrap(); + + assert!( + !results.hits.is_empty(), + "Search should return results after doctor rebuild" + ); + assert_eq!( + results.hits.len(), + 10, + "Should return exactly 10 results (top_k)" + ); + } + // Windows needs extra time for Tantivy to release file handles + windows_file_handle_delay(); +} + +/// Test that doctor correctly handles files with 0 frames. +#[test] +#[cfg(feature = "lex")] +fn doctor_handles_empty_file() { + let temp = NamedTempFile::new().unwrap(); + let path = temp.path(); + + // Create empty file with lex enabled + { + let mut mem = Memvid::create(path).unwrap(); + mem.enable_lex().unwrap(); + mem.commit().unwrap(); + } + // Windows needs extra time for Tantivy to release file handles + windows_file_handle_delay(); + + // Run doctor on empty file (should not error) + { + let report = Memvid::doctor( + path, + DoctorOptions { + rebuild_lex_index: true, + rebuild_time_index: true, // Must rebuild time index with lex index + rebuild_vec_index: false, + vacuum: false, + dry_run: false, + quiet: true, + }, + ) + .unwrap(); + + // Doctor ran - we'll verify it worked by testing search below + // Doctor ran - we'll verify it worked by testing search below + eprintln!("Doctor status: {:?}", report.status); + } + // Windows needs extra time for Tantivy to release file handles + windows_file_handle_delay(); + + // Verify file still opens after doctor + { + let _mem = Memvid::open_read_only(path).unwrap(); + // Note: Doctor may disable lex on empty files, so we just verify the file opens + } + // Windows needs extra time for Tantivy to release file handles + windows_file_handle_delay(); +} + +/// Test that doctor can handle files with lex disabled. +#[test] +fn doctor_handles_lex_disabled() { + let temp = NamedTempFile::new().unwrap(); + let path = temp.path(); + + // Create file WITHOUT lex enabled + { + let mut mem = Memvid::create(path).unwrap(); + + // Add documents without enabling lex + for i in 0..10 { + let content = format!("Content {}", i); + let options = PutOptions { + uri: Some(format!("mv2://doc{}", i)), + title: Some(format!("Document {}", i)), + ..Default::default() + }; + mem.put_bytes_with_options(content.as_bytes(), options) + .unwrap(); + } + + mem.commit().unwrap(); + } + + // Run doctor (should succeed even without lex) + { + let report = Memvid::doctor( + path, + DoctorOptions { + rebuild_lex_index: false, + rebuild_time_index: true, + rebuild_vec_index: false, + vacuum: false, + dry_run: false, + quiet: true, + }, + ) + .unwrap(); + + // Doctor ran - we'll verify it worked by checking file can still be opened + eprintln!("Doctor status: {:?}", report.status); + } +} + +/// Test that opening a file with Tantivy segments sets lex_enabled correctly. +#[test] +#[cfg(feature = "lex")] +fn open_file_with_tantivy_segments_enables_lex() { + let temp = NamedTempFile::new().unwrap(); + let path = temp.path(); + + // Step 1: Create file with Tantivy index + { + let mut mem = Memvid::create(path).unwrap(); + mem.enable_lex().unwrap(); + + let content = "Test content for searching"; + let options = PutOptions { + uri: Some("mv2://test".to_string()), + title: Some("Test".to_string()), + search_text: Some(content.to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(content.as_bytes(), options) + .unwrap(); + + mem.commit().unwrap(); + } + // Windows needs extra time for Tantivy to release file handles + windows_file_handle_delay(); + + // Step 2: Open file and verify search works (proves lex_enabled is true) + { + let mut mem = Memvid::open_read_only(path).unwrap(); + let result = mem.search(SearchRequest { + query: "test".to_string(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }); + + assert!( + result.is_ok(), + "Search should work on file with Tantivy segments (lex_enabled should be true)" + ); + + let results = result.unwrap(); + assert!(!results.hits.is_empty(), "Should find the test document"); + } + // Windows needs extra time for Tantivy to release file handles + windows_file_handle_delay(); +} + +/// Test that doctor rebuilds produce valid, searchable indexes. +#[test] +#[cfg(feature = "lex")] +fn doctor_rebuild_produces_searchable_index() { + let temp = NamedTempFile::new().unwrap(); + let path = temp.path(); + + // Create file with specific searchable content + { + let mut mem = Memvid::create(path).unwrap(); + mem.enable_lex().unwrap(); + + let quantum_content = "Quantum mechanics is a fundamental theory in physics"; + let quantum_opts = PutOptions { + uri: Some("mv2://quantum".to_string()), + title: Some("Quantum Physics".to_string()), + search_text: Some(quantum_content.to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(quantum_content.as_bytes(), quantum_opts) + .unwrap(); + + let classical_content = "Classical mechanics describes macroscopic motion"; + let classical_opts = PutOptions { + uri: Some("mv2://classical".to_string()), + title: Some("Classical Physics".to_string()), + search_text: Some(classical_content.to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(classical_content.as_bytes(), classical_opts) + .unwrap(); + + mem.commit().unwrap(); + } + // Windows needs extra time for Tantivy to release file handles + windows_file_handle_delay(); + + // Run doctor rebuild + { + let report = Memvid::doctor( + path, + DoctorOptions { + rebuild_lex_index: true, + rebuild_time_index: true, // Must rebuild time index with lex index + rebuild_vec_index: false, + vacuum: false, + dry_run: false, + quiet: true, + }, + ) + .unwrap(); + + // Doctor ran - we'll verify it worked by testing search below + // Doctor ran - we'll verify it worked by testing search below + eprintln!("Doctor status: {:?}", report.status); + } + // Windows needs extra time for Tantivy to release file handles + windows_file_handle_delay(); + + // Verify specific search queries work correctly + { + let mut mem = Memvid::open_read_only(path).unwrap(); + + // Search for "quantum" should find quantum doc + let results = mem + .search(SearchRequest { + query: "quantum".to_string(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }) + .unwrap(); + + assert_eq!( + results.hits.len(), + 1, + "Should find exactly 1 quantum result" + ); + assert!( + results.hits[0].uri.contains("quantum"), + "Result should be the quantum document" + ); + + // Search for "physics" should find both docs + let results = mem + .search(SearchRequest { + query: "physics".to_string(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }) + .unwrap(); + + assert_eq!(results.hits.len(), 2, "Should find both physics documents"); + } + // Windows needs extra time for Tantivy to release file handles + windows_file_handle_delay(); +} + +/* + Test: WAL corruption recovery + 1. Create valid .mv2, corrupt WAL region with 0xFF bytes + 2. Run doctor → triggers try_recover_from_wal_corruption() + 3. Assert file opens after WAL rebuild +*/ +#[test] +#[cfg_attr(windows, ignore)] +fn doctor_recovers_corrupted_wal() { + use memvid_core::io::header::HeaderCodec; + use std::fs::{read, write}; + + let dir = TempDir::new().expect("temp"); + let mv2_path = dir.path().join("test.mv2"); + { + let mut mem = Memvid::create(&mv2_path).unwrap(); + mem.put_bytes(b"testing the docter recovers corrupted WAL.") + .unwrap(); + mem.commit().unwrap(); + } + + let mut bytes = read(&mv2_path).unwrap(); + let header_bytes: &[u8; HEADER_SIZE] = bytes[0..HEADER_SIZE].try_into().unwrap(); + let header = HeaderCodec::decode(header_bytes).unwrap(); + + let start = header.wal_offset as usize; + let end = start + header.wal_size.min(100) as usize; + + // corrupt some bytes + #[allow(clippy::needless_range_loop)] + for i in start..end { + bytes[i] = 0xFF; // Corrupt bytes + } + + write(&mv2_path, &bytes).unwrap(); + + let options = DoctorOptions { + rebuild_time_index: true, + rebuild_lex_index: true, + rebuild_vec_index: true, + vacuum: true, + dry_run: false, // should be false for repair + quiet: true, + }; + let report = Memvid::doctor(&mv2_path, options).expect("docter"); + eprintln!("Doctor status: {:?}", report.status); + eprintln!("Findings: {:?}", report.findings); + assert!(matches!( + report.status, + DoctorStatus::Healed | DoctorStatus::Clean + )); + + let _mem = Memvid::open(&mv2_path).expect("should open after repair"); +} + +/* + Test: Header pointer corruption (Tier-2 aggressive repair) + 1. Create valid .mv2, corrupt footer_offset (bytes 8-15) with u64::MAX + 2. Run doctor → scan_for_footer() finds MV2FOOT! magic + 3. Assert file opens after header repair +*/ +#[test] +#[cfg_attr(windows, ignore)] +fn doctor_repairs_header_pointer() { + let dir = TempDir::new().expect("temp"); + let mv2_path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&mv2_path).unwrap(); + mem.put_bytes(b"testing doctor repair header pointer") + .unwrap(); + mem.commit().unwrap(); + } + + let mut bytes = read(&mv2_path).unwrap(); + + // footer_offset = 8 + bytes[8..16].copy_from_slice(&u64::MAX.to_le_bytes()); // corrupt the footer offset + + write(&mv2_path, &bytes).unwrap(); + + let options = DoctorOptions { + ..Default::default() + }; + + let report = Memvid::doctor(&mv2_path, options).expect("doctor report"); + + assert!(matches!( + report.status, + DoctorStatus::Clean | DoctorStatus::Healed + )); + + let _ = Memvid::open(&mv2_path).expect("open"); +} + +/* + Test: TOC recovery via header hint + 1. Create valid .mv2, corrupt footer magic (last 8 bytes) + 2. Run doctor → recover_toc() uses hint-based fallback + 3. Assert file opens after TOC recovery +*/ +#[test] +#[cfg_attr(windows, ignore)] +fn doctor_recovers_corrupted_toc() { + let dir = TempDir::new().unwrap(); + let mv2_path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&mv2_path).unwrap(); + mem.put_bytes(b"testing doctor recovers corrupted toc") + .unwrap(); + mem.commit().unwrap(); + } + + let mut bytes = read(&mv2_path).unwrap(); + let file_len = bytes.len(); + bytes[file_len - 8..file_len].copy_from_slice(b"XXXXXXXX"); + + write(&mv2_path, &bytes).unwrap(); + + let options = DoctorOptions { + ..Default::default() + }; + + let report = Memvid::doctor(&mv2_path, options).expect("doctor report"); + assert!(matches!( + report.status, + DoctorStatus::Clean | DoctorStatus::Healed + )); + + let _ = Memvid::open(&mv2_path).expect("file should open after repair"); +} + +/* + Test: Complete TOC destruction is unrecoverable + 1. Create valid .mv2, destroy TOC prefix at footer_offset + 2. Run doctor → recover_toc() fails, aggressive repair fails + 3. Assert status is Failed (documents limitation) +*/ +#[test] +fn doctor_handles_missing_footer() { + let dir = TempDir::new().expect("temp"); + let mv2_path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&mv2_path).expect("create mv2"); + mem.put_bytes(b"testing doctor handles missing footer") + .unwrap(); + mem.commit().unwrap(); + } + + let mut bytes = read(&mv2_path).expect("read"); + let header_bytes: [u8; HEADER_SIZE] = bytes[..HEADER_SIZE].try_into().unwrap(); + let header = HeaderCodec::decode(&header_bytes).unwrap(); + + let footer_offset = header.footer_offset as usize; + bytes[footer_offset..footer_offset + 8].copy_from_slice(&u64::MAX.to_le_bytes()); + + write(&mv2_path, &bytes).unwrap(); + + let options = DoctorOptions { + ..Default::default() + }; + + let report = Memvid::doctor(&mv2_path, options).unwrap(); + + assert!(matches!(report.status, DoctorStatus::Failed)); // assert that complete TOC destruction is unrecoverable +} + +/* + Test: dry_run returns plan without modifying disk + 1. create .mv2, run doctor with dry_run = true + 2. assert status is PlanOnly and file unchanged +*/ +#[test] +fn doctor_dry_run_returns_plan() { + let dir = TempDir::new().expect("temp"); + let mv2_path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&mv2_path).expect("create mem"); + mem.put_bytes(b"testing doctor dry run returns plan") + .expect("put bytes"); + mem.commit().expect("commit"); + } + + let original_bytes = read(&mv2_path).expect("read original bytes"); + + let options = DoctorOptions { + rebuild_time_index: true, + dry_run: true, + ..Default::default() + }; + + let report = Memvid::doctor(&mv2_path, options).expect("report"); + assert!(matches!( + report.status, + DoctorStatus::PlanOnly | DoctorStatus::Clean + )); + + let final_bytes = read(&mv2_path).expect("read final bytes"); + assert_eq!(final_bytes, original_bytes); + + let _ = Memvid::open(&mv2_path).expect("open"); +} + +/* + Test: doctor detects index out of bounds + 1. create .mv2, truncate file to make index offsets invalid + 2. run doctor, assert it detects the issue (finding or heals) +*/ +#[test] +fn doctor_rejects_index_out_of_bounds() { + use std::fs::{OpenOptions, metadata}; + + let dir = TempDir::new().expect("temp"); + let mv2_path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&mv2_path).expect("create"); + mem.put_bytes(b"testing doctor rejects index out of bounds") + .expect("put bytes"); + mem.commit().expect("commit"); + } + + let original_len = metadata(&mv2_path).expect("meta").len(); + let truncated_len = original_len.saturating_sub(100); + + { + let file = OpenOptions::new() + .write(true) + .open(&mv2_path) + .expect("open for truncate"); + + file.set_len(truncated_len).expect("truncate"); + } + + let options = DoctorOptions { + rebuild_time_index: true, + ..Default::default() + }; + + let report = Memvid::doctor(&mv2_path, options).expect("doctor"); + assert!( + !report.findings.is_empty() + || matches!(report.status, DoctorStatus::Healed | DoctorStatus::Failed), + "expected findings or heal/fail status, got {:?}", + report.status + ); +} + +/* + Test: vacuum phase runs before index rebuild phase + 1. create .mv2, delete frame, request vacuum + rebuild + 2. assert phase ordering: Vacuum before IndexRebuild +*/ +#[test] +fn doctor_vacuum_before_index_rebuild() { + let dir = TempDir::new().expect("temp"); + let mv2_path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&mv2_path).expect("create"); + for i in 0..5 { + let frame_data = format!("testing doctor vaccum should be before index rebuild: {i}"); + mem.put_bytes(frame_data.as_bytes()).expect("put byets"); + } + mem.commit().expect("commit"); + } + + { + let mut mem = Memvid::open(&mv2_path).expect("open"); + mem.delete_frame(0).ok(); + mem.commit().expect("commit"); + } + + let options = DoctorOptions { + vacuum: true, + rebuild_time_index: true, + dry_run: true, + ..Default::default() + }; + + let report = Memvid::doctor(&mv2_path, options).expect("doctor"); + let phases = &report.plan.phases; + + let vacuum_idx = phases + .iter() + .position(|p| matches!(p.phase, DoctorPhaseKind::Vacuum)); + + let rebuild_idx = phases + .iter() + .position(|p| matches!(p.phase, DoctorPhaseKind::IndexRebuild)); + + if let (Some(v), Some(r)) = (vacuum_idx, rebuild_idx) { + assert!(v < r, "vacuum phase must come before IndexRebuild phase"); + } +} + +/* + Test: doctor preserves footer_offset invariant + 1. create .mv2, run doctor rebuild + 2. assert footer_offset remains within file bounds +*/ +#[test] +fn doctor_preserves_footer_offset() { + use std::fs::metadata; + + let dir = TempDir::new().expect("temp"); + let mv2_path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&mv2_path).expect("create"); + mem.put_bytes(b"testing doctor preserves footer offset") + .expect("put bytes"); + mem.commit().expect("commit"); + } + + let options = DoctorOptions { + rebuild_time_index: true, + ..Default::default() + }; + + let _ = Memvid::doctor(&mv2_path, options).expect("doctor"); + + let file_len = metadata(&mv2_path).unwrap().len(); + let bytes = read(&mv2_path).expect("read"); + let header_bytes: &[u8; HEADER_SIZE] = bytes[0..HEADER_SIZE].try_into().unwrap(); + let header = HeaderCodec::decode(header_bytes).expect("header"); + + assert!( + header.footer_offset < file_len, + "footer_offset should not exceeds file length" + ); + + let _ = Memvid::open(&mv2_path).expect("file should open after doctor"); +} diff --git a/tests/encryption_capsule.rs b/tests/encryption_capsule.rs new file mode 100644 index 0000000..e620f98 --- /dev/null +++ b/tests/encryption_capsule.rs @@ -0,0 +1,516 @@ +//! Encryption capsule tests (.mv2e). + +#[cfg(feature = "encryption")] +use memvid_core::encryption::{EncryptionError, Mv2eHeader, lock_file, unlock_file}; +#[cfg(feature = "encryption")] +use memvid_core::{Memvid, PutOptions}; + +#[cfg(feature = "encryption")] +use std::fs::read; +#[cfg(feature = "encryption")] +use std::path::Path; +#[cfg(feature = "encryption")] +use tempfile::TempDir; + +#[test] +#[cfg(feature = "encryption")] +fn mv2e_header_roundtrip() { + let header = Mv2eHeader { + magic: memvid_core::encryption::MV2E_MAGIC, + version: memvid_core::encryption::MV2E_VERSION, + kdf_algorithm: memvid_core::encryption::KdfAlgorithm::Argon2id, + cipher_algorithm: memvid_core::encryption::CipherAlgorithm::Aes256Gcm, + salt: [1u8; memvid_core::encryption::SALT_SIZE], + nonce: [2u8; memvid_core::encryption::NONCE_SIZE], + original_size: 1024, + reserved: [0u8; 4], + }; + + let encoded = header.encode(); + let decoded = Mv2eHeader::decode(&encoded).expect("decode"); + + assert_eq!(decoded.magic, header.magic); + assert_eq!(decoded.version, header.version); + assert_eq!(decoded.salt, header.salt); + assert_eq!(decoded.nonce, header.nonce); + assert_eq!(decoded.original_size, header.original_size); +} + +#[test] +#[cfg(feature = "encryption")] +fn lock_unlock_roundtrip_preserves_bytes() { + let dir = TempDir::new().expect("tmp"); + let mv2_path = dir.path().join("test.mv2"); + let mv2e_path = dir.path().join("test.mv2e"); + let restored_path = dir.path().join("restored.mv2"); + + { + let mut mem = Memvid::create(&mv2_path).expect("create"); + mem.put_bytes_with_options( + b"hello", + PutOptions { + title: Some("doc".to_string()), + labels: vec!["note".to_string()], + ..Default::default() + }, + ) + .expect("put"); + mem.commit().expect("commit"); + } + + lock_file(&mv2_path, Some(mv2e_path.as_path()), b"test-password-123").expect("lock"); + unlock_file( + &mv2e_path, + Some(restored_path.as_path()), + b"test-password-123", + ) + .expect("unlock"); + + let original = read(&mv2_path).expect("read original"); + let restored = read(&restored_path).expect("read restored"); + assert_eq!(original, restored); +} + +#[test] +#[cfg(feature = "encryption")] +fn wrong_password_fails() { + let dir = TempDir::new().expect("tmp"); + let mv2_path = dir.path().join("test.mv2"); + let mv2e_path = dir.path().join("test.mv2e"); + + { + let mut mem = Memvid::create(&mv2_path).expect("create"); + mem.put_bytes(b"hello").expect("put"); + mem.commit().expect("commit"); + } + + lock_file(&mv2_path, Some(mv2e_path.as_path()), b"password-a").expect("lock"); + let err = unlock_file(&mv2e_path, None, b"password-b").expect_err("should fail"); + assert!(matches!(err, EncryptionError::Decryption { .. })); +} + +/// Test streaming encryption with a large file (>1MB to trigger multiple chunks) +/// Note: The mv2 file format includes a 64MB WAL by default, so even small content +/// creates large files. This test focuses on verifying the streaming format works. +#[test] +#[cfg(feature = "encryption")] +fn streaming_encryption_large_file() { + let dir = TempDir::new().expect("tmp"); + let mv2_path = dir.path().join("large.mv2"); + let mv2e_path = dir.path().join("large.mv2e"); + let restored_path = dir.path().join("large_restored.mv2"); + + // Create a memory file with modest content (the file will be large due to WAL) + { + let mut mem = Memvid::create(&mv2_path).expect("create"); + + // Add 5 entries - this should create a file >1MB due to WAL overhead + for i in 0..5 { + let content = format!("Entry {} with content: {}", i, "x".repeat(10_000)); + mem.put_bytes_with_options( + content.as_bytes(), + PutOptions { + title: Some(format!("Entry {}", i)), + labels: vec!["test".to_string()], + ..Default::default() + }, + ) + .expect("put"); + } + mem.commit().expect("commit"); + } + + // The file should be >1MB due to embedded WAL + let original_size = std::fs::metadata(&mv2_path).expect("metadata").len(); + assert!( + original_size > 1_000_000, + "File should be >1MB, got {} bytes", + original_size + ); + println!( + "Created test file: {} bytes ({:.2} MB)", + original_size, + original_size as f64 / 1_000_000.0 + ); + + // Encrypt using streaming + lock_file( + &mv2_path, + Some(mv2e_path.as_path()), + b"streaming-test-password", + ) + .expect("lock"); + + // Verify encrypted file has streaming marker (reserved[0] == 0x01) + let encrypted_bytes = read(&mv2e_path).expect("read encrypted"); + let header_bytes: [u8; Mv2eHeader::SIZE] = encrypted_bytes[..Mv2eHeader::SIZE] + .try_into() + .expect("slice to array"); + let header = Mv2eHeader::decode(&header_bytes).expect("decode header"); + assert_eq!( + header.reserved[0], 0x01, + "Should use streaming format (reserved[0] == 0x01)" + ); + println!( + "Encrypted file: {} bytes, streaming format confirmed", + encrypted_bytes.len() + ); + + // Decrypt + unlock_file( + &mv2e_path, + Some(restored_path.as_path()), + b"streaming-test-password", + ) + .expect("unlock"); + + // Verify content matches + let original = read(&mv2_path).expect("read original"); + let restored = read(&restored_path).expect("read restored"); + assert_eq!(original.len(), restored.len(), "Size mismatch"); + assert_eq!(original, restored, "Content mismatch"); + println!( + "Decryption successful, {} bytes restored correctly", + restored.len() + ); + + // Verify the restored file is valid and readable + let mem = Memvid::open(&restored_path).expect("open restored"); + let stats = mem.stats().expect("stats"); + assert!( + stats.frame_count >= 5, + "Should have at least 5 frames, got {}", + stats.frame_count + ); + println!("Restored memory verified: {} frames", stats.frame_count); +} + +/// Test that wrong password still fails with streaming format +#[test] +#[cfg(feature = "encryption")] +fn wrong_password_fails_streaming() { + let dir = TempDir::new().expect("tmp"); + let mv2_path = dir.path().join("test_stream.mv2"); + let mv2e_path = dir.path().join("test_stream.mv2e"); + + // Create a file (will be >1MB due to WAL overhead) + { + let mut mem = Memvid::create(&mv2_path).expect("create"); + for i in 0..3 { + let content = format!("Entry {} {}", i, "data".repeat(10_000)); + mem.put_bytes(content.as_bytes()).expect("put"); + } + mem.commit().expect("commit"); + } + + lock_file(&mv2_path, Some(mv2e_path.as_path()), b"correct-password").expect("lock"); + + // Verify streaming format (files >1MB use streaming) + let encrypted = read(&mv2e_path).expect("read"); + let header_bytes: [u8; Mv2eHeader::SIZE] = encrypted[..Mv2eHeader::SIZE] + .try_into() + .expect("slice to array"); + let header = Mv2eHeader::decode(&header_bytes).expect("decode"); + assert_eq!(header.reserved[0], 0x01, "Should use streaming format"); + + // Wrong password should fail + let err = unlock_file(&mv2e_path, None, b"wrong-password").expect_err("should fail"); + assert!( + matches!(err, EncryptionError::Decryption { .. }), + "Expected Decryption error, got {:?}", + err + ); + println!("Wrong password correctly rejected for streaming format"); +} + +/// Helper: reads and decodes the Mv2eHeader from an encrypted file. +#[cfg(feature = "encryption")] +fn read_header(path: &Path) -> Mv2eHeader { + let bytes = read(path).expect("read file"); + let header_bytes: [u8; Mv2eHeader::SIZE] = + bytes[..Mv2eHeader::SIZE].try_into().expect("header bytes"); + Mv2eHeader::decode(&header_bytes).expect("decode header") +} + +/* + This test verifies two things: + 1. Legacy format marker exists (reserved[0] == 0x00) + 2. Decryption works (new code can decrypt old format files) +*/ +#[test] +#[ignore = "legacy_test.mv2 fixture missing - regenerate with legacy encryption code"] +#[cfg(feature = "encryption")] +fn decrypt_legacy_format_with_new_code() { + use std::path::PathBuf; + + let mut fixture_dir = PathBuf::from(env!("CARGO_MANIFEST_DIR")); + fixture_dir.push("tests/fixtures"); + + let original_mv2 = fixture_dir.join("legacy_test.mv2"); + let original_mv2e = fixture_dir.join("legacy_test.mv2e"); + + assert!(original_mv2.exists(), "legacy mv2 fixture missing"); + assert!(original_mv2e.exists(), "legacy mv2e fixture missing"); + + let header = read_header(&original_mv2e); + assert_eq!(header.reserved[0], 0x00, "should be legacy format"); + + let dir = TempDir::new().expect("temp"); + let decrypted_path = dir.path().join("decrypted.mv2"); + + unlock_file( + &original_mv2e, + Some(decrypted_path.as_ref()), + b"legacy-password", + ) + .expect("unlock"); + + let original = read(&original_mv2).expect("original"); + let decrypted = read(&decrypted_path).expect("decrypted"); + assert_eq!(original, decrypted); +} + +/* + This test verifies dispatcher logic selects correct decoder: + 1. New file (reserved[0] = 0x01) → uses streaming path + 2. Legacy file (reserved[0] = 0x00) → uses oneshot path +*/ +#[test] +#[cfg(feature = "encryption")] +fn auto_detection_chooses_correct_decoder() { + // password for legacy file decryption: [b"legacy-password"] + use std::path::PathBuf; + + let dir = TempDir::new().expect("temp"); + let mv2_path = dir.path().join("test.mv2"); + let mv2e_path = dir.path().join("test.mv2e"); + let decrypted_path = dir.path().join("decrypted.mv2"); + + { + let mut mem = Memvid::create(&mv2_path).expect("memvid"); + mem.put_bytes(b"testing: auto detection chooses correct decoder.") + .unwrap(); + mem.commit().unwrap(); + } + + lock_file(&mv2_path, Some(&mv2e_path), b"test-password").expect("lock"); + + let header = read_header(&mv2e_path); + assert_eq!(header.reserved[0], 0x01, "new file should use streaming"); + + unlock_file(&mv2e_path, Some(&decrypted_path), b"test-password").expect("unlock"); + + let mut fixture_dir = PathBuf::from(env!("CARGO_MANIFEST_DIR")); + fixture_dir.push("tests/fixtures"); + let legacy_mv2e = fixture_dir.join("legacy_test.mv2e"); + let legacy_decrypted = dir.path().join("legacy_decrypted.mv2"); + + let header = read_header(&legacy_mv2e); + assert_eq!(header.reserved[0], 0x00, "legacy file should be oneshot"); + + unlock_file(&legacy_mv2e, Some(&legacy_decrypted), b"legacy-password").expect("unlock"); +} + +/* + This test verifies legacy file upgrade flow: + 1. Decrypt legacy file (reserved[0] = 0x00) + 2. Re-encrypt → produces streaming format (reserved[0] = 0x01) + 3. Content integrity preserved after upgrade +*/ +#[test] +#[ignore = "legacy_test.mv2 fixture missing - regenerate with legacy encryption code"] +#[cfg(feature = "encryption")] +fn legacy_file_upgrade_on_reencrypt() { + use std::{fs, path::PathBuf}; + + let dir = TempDir::new().expect("temp"); + let legacy_mv2 = dir.path().join("test.mv2"); + let legacy_mv2e = dir.path().join("test.mv2e"); + let legacy_decrypted = dir.path().join("decrypt.mv2"); + let new_mv2e = dir.path().join("new.mv2e"); + let new_decrypted = dir.path().join("new_decrypted.mv2"); + + let mut fixture_dir = PathBuf::from(env!("CARGO_MANIFEST_DIR")); + fixture_dir.push("tests/fixtures"); + + fs::copy(fixture_dir.join("legacy_test.mv2"), &legacy_mv2).expect("copy mv2"); + fs::copy(fixture_dir.join("legacy_test.mv2e"), &legacy_mv2e).expect("copy mv2"); + + let header = read_header(&legacy_mv2e); + assert_eq!(header.reserved[0], 0x00); + + unlock_file(&legacy_mv2e, Some(&legacy_decrypted), b"legacy-password").expect("unlock"); + + lock_file(&legacy_decrypted, Some(&new_mv2e), b"new-password").expect("lock"); + + let header = read_header(&new_mv2e); + assert_eq!(header.reserved[0], 0x01, "should now be streaming format"); + + unlock_file(&new_mv2e, Some(&new_decrypted), b"new-password").expect("unlock new"); + + let original_content = read(&legacy_mv2).expect("read legacy"); + let final_content = read(&new_decrypted).expect("read new decrypted"); + assert_eq!( + final_content, original_content, + "content should match after upgrade" + ); +} + +/* + Test: Invalid magic header detection + 1. Create and encrypt a valid .mv2 file + 2. Corrupt the magic bytes (MV2E → 0x00000000) + 3. Attempt decrypt → should return InvalidMagic error +*/ +#[test] +#[cfg(feature = "encryption")] +fn invalid_magic_header() { + use std::fs; + + let dir = TempDir::new().expect("temp"); + let mv2_path = dir.path().join("test.mv2"); + let mv2e_path = dir.path().join("test.mv2e"); + + { + let mut mem = Memvid::create(&mv2_path).expect("create"); + mem.put_bytes(b"testing invalid magic header").unwrap(); + mem.commit().unwrap(); + } + + lock_file(&mv2_path, Some(&mv2e_path), b"test-password").expect("lock"); + + let mut bytes = fs::read(&mv2e_path).unwrap(); + bytes[..4].copy_from_slice(&[0u8; 4]); + fs::write(&mv2e_path, &bytes).unwrap(); + + let err = unlock_file(&mv2e_path, None, b"test-password") + .expect_err("should fail with invalid magic"); + + assert!(matches!( + err, + EncryptionError::InvalidMagic { + expected: _, + found: _ + } + )); +} + +/* + Test: Truncated file error handling + 1. Create and encrypt a valid .mv2 file + 2. Truncate the .mv2e file (cut in half) + 3. Attempt decrypt → should return error (not crash) +*/ +#[test] +#[cfg(feature = "encryption")] +fn truncated_file_fails_gracefully() { + use std::fs; + + let dir = TempDir::new().expect("temp"); + let mv2_path = dir.path().join("test.mv2"); + let mv2e_path = dir.path().join("test.mv2e"); + let truncated_path = dir.path().join("truncated.mv2e"); + + { + let mut mem = Memvid::create(&mv2_path).unwrap(); + mem.put_bytes(b"testing truncated files").unwrap(); + mem.commit().unwrap(); + } + + lock_file(&mv2_path, Some(&mv2e_path), b"test-password").expect("lock"); + + let bytes = read(&mv2e_path).unwrap(); + let truncated = &bytes[..bytes.len() / 2]; + fs::write(&truncated_path, truncated).unwrap(); + + let result = unlock_file(&truncated_path, None, b"test-password"); + + assert!(result.is_err()); +} + +/* + Test: Non-MV2 file rejection + 1. Create random file (not .mv2) + 2. Attempt encrypt → should return NotMv2File error +*/ +#[test] +#[cfg(feature = "encryption")] +fn non_mv2_file_rejected() { + use std::fs; + + let dir = TempDir::new().expect("temp"); + let fake_file = dir.path().join("not_a_mv2.txt"); + + fs::write(&fake_file, b"this is a fake file, not a mv2 file").unwrap(); + + let err = + lock_file(&fake_file, None, b"test-password").expect_err("should reject non mv2 file"); + + assert!(matches!(err, EncryptionError::NotMv2File { path: _ })) +} + +/* + Test: Exact chunk boundary (5MB) + 1. Create 5MB content → multiple 1MB chunks + 2. Encrypt/decrypt roundtrip + 3. Verify content integrity +*/ +#[test] +#[cfg(feature = "encryption")] +fn exact_chunk_boundary_file() { + let dir = TempDir::new().unwrap(); + let mv2_path = dir.path().join("test.mv2"); + let mv2e_path = dir.path().join("test.mv2e"); + let decrypted_path = dir.path().join("decrypted.mv2"); + + { + let mut mem = Memvid::create(&mv2_path).unwrap(); + mem.put_bytes(&[0u8; 1024 * 1024 * 5]).unwrap(); + mem.commit().unwrap(); + } + + lock_file(&mv2_path, Some(&mv2e_path), b"test-password").expect("lock"); + + let header = read_header(&mv2e_path); + assert_eq!(header.reserved[0], 0x01); + + unlock_file(&mv2e_path, Some(&decrypted_path), b"test-password").expect("unlock"); + + let original_content = read(&mv2_path).expect("read original"); + let final_content = read(&decrypted_path).expect("read final"); + assert_eq!(final_content, original_content); +} + +/* + Test: Empty MV2 file encryption + 1. Create .mv2 with no frames + 2. Encrypt/decrypt roundtrip + 3. Verify integrity and Memvid::open works +*/ +#[test] +#[cfg(feature = "encryption")] +fn empty_mv2_file_encryption() { + let dir = TempDir::new().unwrap(); + let mv2_path = dir.path().join("test.mv2"); + let mv2e_path = dir.path().join("test.mv2e"); + let decrypted_path = dir.path().join("decrypted.mv2"); + + { + let mut mem = Memvid::create(&mv2_path).unwrap(); + mem.commit().unwrap(); + } + + lock_file(&mv2_path, Some(&mv2e_path), b"test-password").expect("lock"); + + unlock_file(&mv2e_path, Some(&decrypted_path), b"test-password").expect("unlock"); + + let original_content = read(&mv2_path).unwrap(); + let final_content = read(&decrypted_path).unwrap(); + assert_eq!(final_content, original_content); + + { + let mem = Memvid::open(&decrypted_path).expect("should open decrypted file"); + let stats = mem.stats().expect("stats"); + assert_eq!(stats.frame_count, 0, "empty file should have 0 frames"); + } +} diff --git a/tests/fixtures/legacy_test.mv2e b/tests/fixtures/legacy_test.mv2e new file mode 100644 index 0000000..39a1d57 Binary files /dev/null and b/tests/fixtures/legacy_test.mv2e differ diff --git a/tests/lifecycle.rs b/tests/lifecycle.rs new file mode 100644 index 0000000..3ca9e93 --- /dev/null +++ b/tests/lifecycle.rs @@ -0,0 +1,268 @@ +//! Integration tests for Memvid lifecycle operations. +//! Tests: create, open, open_read_only, commit, stats, verify + +use memvid_core::{Memvid, PutOptions, VerificationStatus}; +use std::fs; +use tempfile::TempDir; + +/// Test basic create and open lifecycle. +#[test] +fn create_and_open() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + // Create new memory + { + let mut mem = Memvid::create(&path).unwrap(); + mem.commit().unwrap(); + } + + // Open existing memory + { + let _mem = Memvid::open(&path).unwrap(); + } + + // Open read-only + { + let _mem = Memvid::open_read_only(&path).unwrap(); + } + + assert!(path.exists(), "MV2 file should exist"); +} + +/// Test that create handles existing file. +/// Note: The current implementation allows creating even if file exists, +/// this tests that behavior (may change in future versions). +#[test] +fn create_handles_existing_file() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + // Create first time + { + let mut mem = Memvid::create(&path).unwrap(); + let opts = PutOptions { + uri: Some("mv2://doc1".to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(b"First content", opts).unwrap(); + mem.commit().unwrap(); + } + + // Create second time - this tests current behavior + // (Either it fails OR it creates a new file - both are valid implementations) + let result = Memvid::create(&path); + if let Ok(mut mem) = result { + // If create succeeds, the old data should be gone (new file) + // let mut mem = result.unwrap(); + mem.commit().unwrap(); + // Reopen and verify it's empty (new file was created) + let mem = Memvid::open_read_only(&path).unwrap(); + let stats = mem.stats().unwrap(); + assert_eq!(stats.frame_count, 0, "New file should be empty"); + } + // If it fails, that's also valid behavior +} + +/// Test that open fails if file doesn't exist. +#[test] +fn open_fails_if_not_exists() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("nonexistent.mv2"); + + let result = Memvid::open(&path); + assert!(result.is_err(), "Open should fail if file doesn't exist"); +} + +/// Test stats on empty memory. +#[test] +fn stats_empty_memory() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + mem.commit().unwrap(); + } + + let mem = Memvid::open_read_only(&path).unwrap(); + let stats = mem.stats().unwrap(); + + assert_eq!(stats.frame_count, 0, "Empty memory should have 0 frames"); +} + +/// Test stats after adding content. +#[test] +fn stats_with_content() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + + for i in 0..5 { + let content = format!("Test content {}", i); + let opts = PutOptions { + uri: Some(format!("mv2://doc{}", i)), + title: Some(format!("Document {}", i)), + ..Default::default() + }; + mem.put_bytes_with_options(content.as_bytes(), opts) + .unwrap(); + } + + mem.commit().unwrap(); + } + + let mem = Memvid::open_read_only(&path).unwrap(); + let stats = mem.stats().unwrap(); + + assert_eq!(stats.frame_count, 5, "Should have 5 frames"); +} + +/// Test verify on healthy file. +#[test] +fn verify_healthy_file() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + + let opts = PutOptions { + uri: Some("mv2://test".to_string()), + title: Some("Test".to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(b"Test content", opts).unwrap(); + mem.commit().unwrap(); + } + + let report = Memvid::verify(&path, false).unwrap(); + + assert_eq!( + report.overall_status, + VerificationStatus::Passed, + "Healthy file should verify as passed" + ); +} + +/// Test verify detects corruption (footer zeroed). +/// Note: With severe corruption, verify may return an error instead of a report. +#[test] +fn verify_detects_corruption() { + use std::io::{Seek, SeekFrom, Write}; + + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + // Create valid file + { + let mut mem = Memvid::create(&path).unwrap(); + let opts = PutOptions { + uri: Some("mv2://test".to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(b"Test content", opts).unwrap(); + mem.commit().unwrap(); + } + + // Corrupt the footer (zero last 16 bytes) + { + let mut file = fs::OpenOptions::new().write(true).open(&path).unwrap(); + let len = file.metadata().unwrap().len(); + if len > 16 { + file.seek(SeekFrom::End(-16)).unwrap(); + file.write_all(&[0u8; 16]).unwrap(); + file.flush().unwrap(); + } + } + + // With severe corruption, verify may error out entirely + // or return a failed status - both are valid responses + let result = Memvid::verify(&path, false); + match result { + Ok(report) => { + assert_ne!( + report.overall_status, + VerificationStatus::Passed, + "Corrupted file should not verify as passed" + ); + } + Err(_) => { + // Error is also a valid response to severe corruption + } + } +} + +/// Test multiple commits preserve data. +#[test] +fn multiple_commits_preserve_data() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + // First commit + { + let mut mem = Memvid::create(&path).unwrap(); + let opts = PutOptions { + uri: Some("mv2://doc1".to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(b"First document", opts).unwrap(); + mem.commit().unwrap(); + } + + // Second commit + { + let mut mem = Memvid::open(&path).unwrap(); + let opts = PutOptions { + uri: Some("mv2://doc2".to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(b"Second document", opts) + .unwrap(); + mem.commit().unwrap(); + } + + // Verify both documents exist + let mem = Memvid::open_read_only(&path).unwrap(); + let stats = mem.stats().unwrap(); + + assert_eq!( + stats.frame_count, 2, + "Should have 2 frames after multiple commits" + ); +} + +/// Test commit without changes is a no-op. +#[test] +fn commit_without_changes() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + let opts = PutOptions { + uri: Some("mv2://doc1".to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(b"Content", opts).unwrap(); + mem.commit().unwrap(); + } + + let size_before = fs::metadata(&path).unwrap().len(); + + // Open and commit without changes + { + let mut mem = Memvid::open(&path).unwrap(); + mem.commit().unwrap(); + } + + let size_after = fs::metadata(&path).unwrap().len(); + + // Size should be approximately the same (may differ slightly due to timestamp updates) + assert!( + (size_after as i64 - size_before as i64).abs() < 1024, + "Commit without changes should not significantly change file size" + ); +} diff --git a/tests/model_consistency.rs b/tests/model_consistency.rs new file mode 100644 index 0000000..4bb86c2 --- /dev/null +++ b/tests/model_consistency.rs @@ -0,0 +1,79 @@ +use memvid_core::{Memvid, MemvidError}; +use std::path::{Path, PathBuf}; +use tempfile::TempDir; + +type TestResult = Result<(), Box>; + +fn create_tmp_memvid() -> Result<(TempDir, PathBuf), Box> { + let dir = TempDir::new()?; + let path = dir.path().join("test.mv2"); + // Create new memory + { + let mut mem = Memvid::create(&path)?; + mem.commit()?; + } + Ok((dir, path)) +} + +fn open_tmp_memvid(path: &Path) -> Result> { + Ok(Memvid::open(path)?) +} + +#[test] +fn test_vec_model_consistency() -> TestResult { + let (_dir, path) = create_tmp_memvid()?; + + // 1. Create index and set model "A" + { + let mut memvid = open_tmp_memvid(&path)?; + memvid.enable_vec()?; + memvid.set_vec_model("model-a")?; + memvid.commit()?; + } + + // 2. Open and verify "model-a" matches and "model-b" fails + { + let mut memvid = open_tmp_memvid(&path)?; + // Should succeed (idempotent) + memvid.set_vec_model("model-a")?; + + // Should fail + let result = memvid.set_vec_model("model-b"); + assert!(result.is_err()); + match result { + Err(MemvidError::ModelMismatch { expected, actual }) => { + assert_eq!(expected, "model-a"); + assert_eq!(actual, "model-b"); + } + _ => panic!("Expected ModelMismatch error"), + } + } + + Ok(()) +} + +#[test] +fn test_vec_model_persistence() -> TestResult { + let (_dir, path) = create_tmp_memvid()?; + + // 1. Create index with model + { + let mut memvid = open_tmp_memvid(&path)?; + memvid.enable_vec()?; + memvid.set_vec_model("persistent-model")?; + memvid.commit()?; + } + + // 2. Open and check if model is loaded automatically + { + let mut memvid = open_tmp_memvid(&path)?; + // We can inspect internal state via debug or by trying to set a mismatch + let result = memvid.set_vec_model("wrong-model"); + assert!(result.is_err()); + + // Verify set_vec_model("persistent-model") works (confirming loaded state) + memvid.set_vec_model("persistent-model")?; + } + + Ok(()) +} diff --git a/tests/mutation.rs b/tests/mutation.rs new file mode 100644 index 0000000..b038297 --- /dev/null +++ b/tests/mutation.rs @@ -0,0 +1,540 @@ +//! Integration tests for Memvid mutation operations. +//! Tests: put, put_bytes_with_options, update, delete + +use memvid_core::{ + EmbeddingIdentitySummary, MEMVID_EMBEDDING_MODEL_KEY, MEMVID_EMBEDDING_PROVIDER_KEY, Memvid, + MemvidError, PutOptions, TimelineQuery, constants::HEADER_SIZE, io::header::HeaderCodec, +}; +use std::fs::File; +use std::io::Read; +use std::num::NonZeroU64; +use std::path::Path; +use tempfile::TempDir; + +fn read_wal_size(path: &Path) -> u64 { + let mut header_bytes = [0u8; HEADER_SIZE]; + File::open(path) + .unwrap() + .read_exact(&mut header_bytes) + .unwrap(); + HeaderCodec::decode(&header_bytes).unwrap().wal_size +} + +/// Test basic put operation with bytes. +#[test] +fn put_bytes_basic() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + let mut mem = Memvid::create(&path).unwrap(); + + let opts = PutOptions { + uri: Some("mv2://test".to_string()), + title: Some("Test Document".to_string()), + ..Default::default() + }; + + let _frame_id = mem.put_bytes_with_options(b"Hello, World!", opts).unwrap(); + mem.commit().unwrap(); + + // Verify frame was created + // Verify frame was created (FrameId is u64 so >= 0 is implied) + // assert!(frame_id >= 0); + + let mem = Memvid::open_read_only(&path).unwrap(); + assert_eq!(mem.stats().unwrap().frame_count, 1, "Should have 1 frame"); +} + +/// Test put with all options. +#[test] +fn put_bytes_with_all_options() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + + let opts = PutOptions { + uri: Some("mv2://docs/report.txt".to_string()), + title: Some("Annual Report".to_string()), + search_text: Some("Financial summary for 2024".to_string()), + tags: vec!["finance".to_string(), "annual".to_string()], + labels: vec!["Important".to_string()], + timestamp: Some(1700000000), + ..Default::default() + }; + + mem.put_bytes_with_options(b"Report content here", opts) + .unwrap(); + mem.commit().unwrap(); + } + + // Verify frame was stored + let mem = Memvid::open_read_only(&path).unwrap(); + let stats = mem.stats().unwrap(); + assert_eq!(stats.frame_count, 1, "Should have 1 frame"); + + // Verify frame metadata by fetching via URI + let frame = mem.frame_by_uri("mv2://docs/report.txt").unwrap(); + assert_eq!(frame.uri.as_deref(), Some("mv2://docs/report.txt")); + assert_eq!(frame.title.as_deref(), Some("Annual Report")); + assert!(frame.tags.contains(&"finance".to_string())); + assert!(frame.labels.contains(&"Important".to_string())); + assert_eq!(frame.timestamp, 1700000000); +} + +/// Test multiple puts create frames. +#[test] +fn put_multiple_creates_frames() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + + for i in 0..5 { + let opts = PutOptions { + uri: Some(format!("mv2://doc{}", i)), + ..Default::default() + }; + mem.put_bytes_with_options(format!("Content {}", i).as_bytes(), opts) + .unwrap(); + } + + mem.commit().unwrap(); + } + + let mem = Memvid::open_read_only(&path).unwrap(); + assert_eq!(mem.stats().unwrap().frame_count, 5, "Should have 5 frames"); +} + +/// Test frame_by_uri returns correct data. +#[test] +fn frame_by_uri_returns_data() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + + let opts = PutOptions { + uri: Some("mv2://test".to_string()), + title: Some("Test".to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(b"Test content", opts).unwrap(); + mem.commit().unwrap(); + } + + let mem = Memvid::open_read_only(&path).unwrap(); + let frame = mem.frame_by_uri("mv2://test").unwrap(); + + assert_eq!(frame.uri.as_deref(), Some("mv2://test")); + assert_eq!(frame.title.as_deref(), Some("Test")); +} + +/// Test update_frame modifies frame metadata. +#[test] +fn update_frame_modifies_metadata() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + // Create with initial data + { + let mut mem = Memvid::create(&path).unwrap(); + let opts = PutOptions { + uri: Some("mv2://test".to_string()), + title: Some("Original Title".to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(b"Content", opts).unwrap(); + mem.commit().unwrap(); + } + + // Update frame - look up by URI to get current frame_id + { + let mut mem = Memvid::open(&path).unwrap(); + // Get the frame by URI to find its actual ID + let frame = mem.frame_by_uri("mv2://test").unwrap(); + let frame_id = frame.id; + + let update_opts = PutOptions { + title: Some("Updated Title".to_string()), + ..Default::default() + }; + // Pass new payload to trigger actual update + mem.update_frame(frame_id, Some(b"New Content".to_vec()), update_opts, None) + .unwrap(); + mem.commit().unwrap(); + } + + // Verify update + let mem = Memvid::open_read_only(&path).unwrap(); + let frame = mem.frame_by_uri("mv2://test").unwrap(); + + assert_eq!(frame.title.as_deref(), Some("Updated Title")); +} + +/// Test delete_frame marks frame as deleted. +#[test] +fn delete_frame_marks_deleted() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + // Create with content + { + let mut mem = Memvid::create(&path).unwrap(); + let opts = PutOptions { + uri: Some("mv2://test".to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(b"Content", opts).unwrap(); + mem.commit().unwrap(); + } + + // Delete frame - look up by URI to get current frame_id + { + let mut mem = Memvid::open(&path).unwrap(); + // Get the frame by URI to find its actual ID + let frame = mem.frame_by_uri("mv2://test").unwrap(); + let frame_id = frame.id; + + mem.delete_frame(frame_id).unwrap(); + mem.commit().unwrap(); + } + + // Verify deletion - need to iterate or check stats since URI lookup may fail for deleted + let mem = Memvid::open_read_only(&path).unwrap(); + // A deleted frame should still exist but with Deleted status + // The URI lookup might fail, so check stats instead + let stats = mem.stats().unwrap(); + // After deletion, frame_count may still be 1 but the frame is marked deleted + // Or it may be 0 depending on implementation + // Both are valid - the key is no panic occurred + assert!( + stats.frame_count == 0 || stats.frame_count == 1, + "Frame count should be 0 or 1 after delete" + ); +} + +/// Test URI uniqueness is enforced. +#[test] +fn uri_uniqueness() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + let mut mem = Memvid::create(&path).unwrap(); + + // First put succeeds + let opts1 = PutOptions { + uri: Some("mv2://unique".to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(b"First", opts1).unwrap(); + + // Second put with same URI should fail or replace + let opts2 = PutOptions { + uri: Some("mv2://unique".to_string()), + ..Default::default() + }; + // The behavior depends on implementation - this tests that it doesn't panic + let result = mem.put_bytes_with_options(b"Second", opts2); + + // Either it succeeds (replacing) or returns an error (enforcing uniqueness) + // Both are valid behaviors - the test ensures no panic + if result.is_ok() { + mem.commit().unwrap(); + } +} + +#[test] +fn put_rejects_mixed_embedding_dimensions() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + let mut mem = Memvid::create(&path).unwrap(); + mem.enable_vec().unwrap(); + + mem.put_with_embedding(b"first", vec![0.0f32; 384]).unwrap(); + let err = mem + .put_with_embedding(b"second", vec![0.0f32; 1536]) + .unwrap_err(); + match err { + MemvidError::VecDimensionMismatch { expected, actual } => { + assert_eq!(expected, 384); + assert_eq!(actual, 1536); + } + other => panic!("expected VecDimensionMismatch, got {other:?}"), + } +} + +#[test] +fn embedding_identity_summary_unknown_when_missing() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + let mut mem = Memvid::create(&path).unwrap(); + mem.put_bytes_with_options(b"hello", PutOptions::default()) + .unwrap(); + mem.commit().unwrap(); + + let mem = Memvid::open_read_only(&path).unwrap(); + assert_eq!( + mem.embedding_identity_summary(1_000), + EmbeddingIdentitySummary::Unknown + ); +} + +#[test] +fn embedding_identity_summary_single() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + let mut mem = Memvid::create(&path).unwrap(); + let mut options = PutOptions::default(); + options.extra_metadata.insert( + MEMVID_EMBEDDING_PROVIDER_KEY.to_string(), + "openai".to_string(), + ); + options.extra_metadata.insert( + MEMVID_EMBEDDING_MODEL_KEY.to_string(), + "text-embedding-3-small".to_string(), + ); + mem.put_bytes_with_options(b"hello", options).unwrap(); + mem.commit().unwrap(); + + let mem = Memvid::open_read_only(&path).unwrap(); + match mem.embedding_identity_summary(1_000) { + EmbeddingIdentitySummary::Single(identity) => { + assert_eq!(identity.provider.as_deref(), Some("openai")); + assert_eq!(identity.model.as_deref(), Some("text-embedding-3-small")); + } + other => panic!("expected Single identity, got {other:?}"), + } +} + +#[test] +fn embedding_identity_summary_mixed() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + let mut mem = Memvid::create(&path).unwrap(); + + let mut options_a = PutOptions::default(); + options_a.extra_metadata.insert( + MEMVID_EMBEDDING_PROVIDER_KEY.to_string(), + "fastembed".to_string(), + ); + options_a.extra_metadata.insert( + MEMVID_EMBEDDING_MODEL_KEY.to_string(), + "BAAI/bge-small-en-v1.5".to_string(), + ); + mem.put_bytes_with_options(b"a", options_a).unwrap(); + + let mut options_b = PutOptions::default(); + options_b.extra_metadata.insert( + MEMVID_EMBEDDING_PROVIDER_KEY.to_string(), + "openai".to_string(), + ); + options_b.extra_metadata.insert( + MEMVID_EMBEDDING_MODEL_KEY.to_string(), + "text-embedding-3-small".to_string(), + ); + mem.put_bytes_with_options(b"b", options_b).unwrap(); + + mem.commit().unwrap(); + + let mem = Memvid::open_read_only(&path).unwrap(); + match mem.embedding_identity_summary(1_000) { + EmbeddingIdentitySummary::Mixed(identities) => { + assert_eq!(identities.len(), 2); + let models: Vec<_> = identities + .iter() + .filter_map(|entry| entry.identity.model.as_deref()) + .collect(); + assert!(models.contains(&"BAAI/bge-small-en-v1.5")); + assert!(models.contains(&"text-embedding-3-small")); + } + other => panic!("expected Mixed identity, got {other:?}"), + } +} + +/// Test put with empty content. +#[test] +fn put_empty_content() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + + let opts = PutOptions { + uri: Some("mv2://empty".to_string()), + title: Some("Empty Document".to_string()), + ..Default::default() + }; + + mem.put_bytes_with_options(b"", opts).unwrap(); + mem.commit().unwrap(); + } + + let mem = Memvid::open_read_only(&path).unwrap(); + let frame = mem.frame_by_uri("mv2://empty").unwrap(); + + assert_eq!(frame.title.as_deref(), Some("Empty Document")); +} + +/// Test put with moderately large content (50KB to avoid WAL limits). +#[test] +fn put_moderately_large_content() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + + // Create 50KB of content (default new file gets 1MB WAL region) + let large_content = vec![b'x'; 50 * 1024]; + + let opts = PutOptions { + uri: Some("mv2://large".to_string()), + title: Some("Large Document".to_string()), + ..Default::default() + }; + + mem.put_bytes_with_options(&large_content, opts).unwrap(); + mem.commit().unwrap(); + } + + let mem = Memvid::open_read_only(&path).unwrap(); + let frame = mem.frame_by_uri("mv2://large").unwrap(); + + assert_eq!(frame.title.as_deref(), Some("Large Document")); + // Frame was stored successfully - payload_length may be 0 if stored as blob + // The important thing is no panic/error occurred +} + +/// Test timeline iteration. +#[test] +fn timeline_iteration() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + + // Add frames with different timestamps + for (i, ts) in [1700000000i64, 1700001000, 1700002000].iter().enumerate() { + let opts = PutOptions { + uri: Some(format!("mv2://doc{}", i)), + timestamp: Some(*ts), + ..Default::default() + }; + mem.put_bytes_with_options(format!("Content {}", i).as_bytes(), opts) + .unwrap(); + } + mem.commit().unwrap(); + } + + let mut mem = Memvid::open_read_only(&path).unwrap(); + + // Get timeline entries using TimelineQuery + let query = TimelineQuery::builder() + .limit(NonZeroU64::new(10).unwrap()) + .build(); + let entries = mem.timeline(query).unwrap(); + + assert_eq!(entries.len(), 3, "Should have 3 timeline entries"); +} + +/// Regression test for memvid/memvid#230 — sustained commit-per-put workloads +/// that span multiple WAL growth cycles must keep the embedded WAL intact. +/// +/// Before the fix, `grow_wal_region` / `ensure_wal_capacity` updated +/// `header.footer_offset` and `self.data_end` after shifting the data region +/// but left the cached `payload_region_end()` value stale. The next call to +/// `rebuild_indexes` then sought to that pre-growth offset (which now lies +/// inside the grown WAL region) and overwrote WAL record payloads, producing +/// `Embedded WAL is corrupted at offset N: wal record checksum mismatch` on +/// the following commit. +#[test] +fn commit_per_put_survives_wal_growth() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("wal_growth.mv2"); + + // Capture the initial WAL size from a freshly created, then closed, store. + // The header is read with no writer open so it never races the store's + // file lock — on Windows a held byte-range lock makes a second handle's + // read fail with "another process has locked a portion of the file". + let initial_wal_size = { + let mem = Memvid::create(&path).unwrap(); + drop(mem); + read_wal_size(&path) + }; + + // Use text-indexable payloads of varying length so each commit drives the + // full Tantivy rebuild path (`rebuild_indexes` → `flush_tantivy`) that + // seeks to `payload_region_end()`. The mix of sizes ensures multiple + // WAL growth cycles occur across the run. + let words: &[&str] = &[ + "alpha", "bravo", "charlie", "delta", "echo", "foxtrot", "golf", "hotel", "india", + "juliet", "kilo", "lima", "mike", "november", "oscar", "papa", "quebec", "romeo", "sierra", + "tango", "uniform", "victor", "whiskey", "x-ray", "yankee", "zulu", + ]; + + let doc_count = 24u32; + let frames_written; + { + let mut mem = Memvid::open(&path).unwrap(); + for i in 0..doc_count { + // Ramp the body size from ~4 KiB up past the initial 64 KiB WAL + // region so the run deterministically crosses several + // `grow_wal_region` cycles (rather than relying on incidental + // wrap/checkpoint timing). Each commit then runs `rebuild_indexes`, + // which seeks to `payload_region_end()` — the path #230 corrupted. + let body_len = 4096usize + (i as usize) * 6144; + let mut body = String::with_capacity(body_len + 16); + let mut idx = i as usize; + while body.len() < body_len { + body.push_str(words[idx % words.len()]); + body.push(' '); + idx = idx.wrapping_add(1); + } + let opts = PutOptions { + uri: Some(format!("mv2://wal-growth/doc-{i}")), + title: Some(format!("doc-{i}")), + search_text: Some(body.clone()), + ..Default::default() + }; + mem.put_bytes_with_options(body.as_bytes(), opts) + .unwrap_or_else(|e| panic!("put #{i} failed: {e}")); + mem.commit() + .unwrap_or_else(|e| panic!("commit #{i} failed: {e}")); + } + // Large `search_text` bodies are chunked, so each doc yields one or + // more frames; capture the true total before closing. + frames_written = mem.stats().unwrap().frame_count; + // mem dropped here, releasing the file lock before we read the header. + } + + // The WAL region only ever grows, so reading the size once the writer is + // closed reflects the maximum it reached during the run. + let final_wal_size = read_wal_size(&path); + assert!( + final_wal_size > initial_wal_size, + "test must exercise WAL growth (initial={initial_wal_size}, final={final_wal_size})" + ); + + // Reopening forces a full WAL scan; checksum verification will fire here + // if any record payload was clobbered by a stale-offset index write. + assert!( + frames_written >= u64::from(doc_count), + "expected at least one frame per doc (got {frames_written} for {doc_count} docs)" + ); + let reopened = Memvid::open_read_only(&path).unwrap(); + assert_eq!( + reopened.stats().unwrap().frame_count, + frames_written, + "all frames should be durable after WAL growth" + ); +} diff --git a/tests/replay_integrity.rs b/tests/replay_integrity.rs new file mode 100644 index 0000000..21f8fc3 --- /dev/null +++ b/tests/replay_integrity.rs @@ -0,0 +1,88 @@ +//! Regression tests for replay segment persistence/integrity. +//! +//! The replay segment is written to the `.mv2` file when ending a recording session. +//! Historically this could corrupt Tantivy (lexical) segments by writing replay bytes +//! at an incorrect offset and moving the TOC footer backwards. + +#[cfg(all(feature = "lex", feature = "replay"))] +use memvid_core::{Memvid, PutOptions, SearchRequest}; +#[cfg(all(feature = "lex", feature = "replay"))] +use tempfile::TempDir; + +#[test] +#[cfg(all(feature = "lex", feature = "replay"))] +fn replay_save_does_not_corrupt_lex_index() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("replay_integrity.mv2"); + + // Create a memory with a Tantivy-backed lexical index. + { + let mut mem = Memvid::create(&path).unwrap(); + mem.enable_lex().unwrap(); + + let opts = PutOptions { + uri: Some("mv2://doc/0".to_string()), + title: Some("Doc".to_string()), + search_text: Some("Climate change and sustainability are important.".to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(b"climate", opts).unwrap(); + mem.commit().unwrap(); + + // Record a session that includes a FIND action. + mem.start_session(Some("Test".to_string()), None).unwrap(); + let _ = mem + .search(SearchRequest { + query: "climate".to_string(), + top_k: 5, + snippet_chars: 120, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }) + .unwrap(); + mem.end_session().unwrap(); + + // Mirror CLI behaviour: finalize, save replay, then commit again. + mem.commit().unwrap(); + mem.save_replay_sessions().unwrap(); + mem.commit().unwrap(); + } + + // Reopen and ensure Tantivy loads and lexical search still works. + let mut reopened = Memvid::open_read_only(&path).unwrap(); + let results = reopened + .search(SearchRequest { + query: "climate".to_string(), + top_k: 5, + snippet_chars: 120, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }) + .unwrap(); + + assert!( + !results.hits.is_empty(), + "expected lexical search to work after saving replay sessions" + ); + + // Also ensure replay sessions can be loaded (read-only is fine). + reopened.load_replay_sessions().unwrap(); + let sessions = reopened.list_sessions(); + assert_eq!(sessions.len(), 1, "expected one recorded replay session"); +} diff --git a/tests/search.rs b/tests/search.rs new file mode 100644 index 0000000..1aaa956 --- /dev/null +++ b/tests/search.rs @@ -0,0 +1,484 @@ +//! Integration tests for Memvid search operations. +//! Tests: search (lex), timeline queries + +use memvid_core::{Memvid, PutOptions, SearchRequest, TimelineQuery}; +use std::num::NonZeroU64; +use tempfile::TempDir; + +/// Helper to create a memory with searchable content. +fn create_searchable_memory(path: &std::path::Path) { + let mut mem = Memvid::create(path).unwrap(); + mem.enable_lex().unwrap(); + + let docs = vec![ + ( + "mv2://physics/quantum", + "Quantum Physics", + "Quantum mechanics describes the behavior of particles at the atomic scale", + ), + ( + "mv2://physics/classical", + "Classical Mechanics", + "Classical mechanics describes motion of macroscopic objects", + ), + ( + "mv2://biology/cells", + "Cell Biology", + "Cells are the basic building blocks of all living organisms", + ), + ( + "mv2://chemistry/atoms", + "Atomic Chemistry", + "Atoms combine to form molecules through chemical bonds", + ), + ( + "mv2://math/calculus", + "Calculus", + "Calculus studies continuous change and rates of change", + ), + ]; + + for (uri, title, content) in docs { + let opts = PutOptions { + uri: Some(uri.to_string()), + title: Some(title.to_string()), + search_text: Some(content.to_string()), + timestamp: Some(1700000000), + ..Default::default() + }; + mem.put_bytes_with_options(content.as_bytes(), opts) + .unwrap(); + } + + mem.commit().unwrap(); +} + +/// Test basic lexical search. +#[test] +#[cfg(feature = "lex")] +fn search_basic_query() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + create_searchable_memory(&path); + + let mut mem = Memvid::open_read_only(&path).unwrap(); + let results = mem + .search(SearchRequest { + query: "quantum".to_string(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }) + .unwrap(); + + assert!(!results.hits.is_empty(), "Should find quantum document"); + assert!( + results.hits[0].uri.contains("quantum"), + "Top result should be quantum physics" + ); +} + +/// Test search with multiple results. +#[test] +#[cfg(feature = "lex")] +fn search_multiple_results() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + create_searchable_memory(&path); + + let mut mem = Memvid::open_read_only(&path).unwrap(); + + // Search for "mechanics" should find both quantum and classical + let results = mem + .search(SearchRequest { + query: "mechanics".to_string(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }) + .unwrap(); + + assert_eq!( + results.hits.len(), + 2, + "Should find both mechanics documents" + ); +} + +/// Test search with top_k limit. +#[test] +#[cfg(feature = "lex")] +fn search_respects_top_k() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + // Create memory with many documents + { + let mut mem = Memvid::create(&path).unwrap(); + mem.enable_lex().unwrap(); + + for i in 0..20 { + let opts = PutOptions { + uri: Some(format!("mv2://doc{}", i)), + title: Some(format!("Document {}", i)), + search_text: Some(format!( + "This document contains searchable content number {}", + i + )), + ..Default::default() + }; + mem.put_bytes_with_options(format!("Content {}", i).as_bytes(), opts) + .unwrap(); + } + mem.commit().unwrap(); + } + + let mut mem = Memvid::open_read_only(&path).unwrap(); + let results = mem + .search(SearchRequest { + query: "document".to_string(), + top_k: 5, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }) + .unwrap(); + + assert_eq!(results.hits.len(), 5, "Should return exactly top_k results"); +} + +/// Test search with scope filter. +#[test] +#[cfg(feature = "lex")] +fn search_with_scope() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + create_searchable_memory(&path); + + let mut mem = Memvid::open_read_only(&path).unwrap(); + + // Search only in physics scope + let results = mem + .search(SearchRequest { + query: "mechanics".to_string(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: Some("mv2://physics/".to_string()), + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }) + .unwrap(); + + // All results should be from physics scope + for hit in &results.hits { + assert!( + hit.uri.starts_with("mv2://physics/"), + "Results should be from physics scope" + ); + } +} + +/// Test search returns snippets. +#[test] +#[cfg(feature = "lex")] +fn search_returns_snippets() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + create_searchable_memory(&path); + + let mut mem = Memvid::open_read_only(&path).unwrap(); + let results = mem + .search(SearchRequest { + query: "quantum".to_string(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }) + .unwrap(); + + assert!(!results.hits.is_empty()); + let hit = &results.hits[0]; + + // Snippet should contain matched content + assert!(!hit.text.is_empty(), "Hit should include text snippet"); +} + +/// Test search with no results. +#[test] +#[cfg(feature = "lex")] +fn search_no_results() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + create_searchable_memory(&path); + + let mut mem = Memvid::open_read_only(&path).unwrap(); + let results = mem + .search(SearchRequest { + query: "xyznonexistentterm".to_string(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }) + .unwrap(); + + assert_eq!(results.hits.len(), 0, "Should return no results"); +} + +/// Test search on empty memory. +#[test] +#[cfg(feature = "lex")] +fn search_empty_memory() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + mem.enable_lex().unwrap(); + mem.commit().unwrap(); + } + + let mut mem = Memvid::open_read_only(&path).unwrap(); + let results = mem + .search(SearchRequest { + query: "anything".to_string(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }) + .unwrap(); + + assert_eq!( + results.hits.len(), + 0, + "Empty memory should return no results" + ); +} + +/// Test timeline query returns ordered results. +#[test] +fn timeline_returns_ordered() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + + // Add frames with different timestamps + let timestamps = [1700000000i64, 1700003000, 1700001000, 1700002000]; + + for (i, ts) in timestamps.iter().enumerate() { + let opts = PutOptions { + uri: Some(format!("mv2://doc{}", i)), + title: Some(format!("Document {}", i)), + timestamp: Some(*ts), + ..Default::default() + }; + mem.put_bytes_with_options(format!("Content {}", i).as_bytes(), opts) + .unwrap(); + } + mem.commit().unwrap(); + } + + let mut mem = Memvid::open_read_only(&path).unwrap(); + let query = TimelineQuery::builder() + .limit(NonZeroU64::new(10).unwrap()) + .build(); + let entries = mem.timeline(query).unwrap(); + + // Verify timeline is ordered by timestamp (either ascending or descending) + if entries.len() > 1 { + let is_descending = entries[0].timestamp >= entries[1].timestamp; + for i in 1..entries.len() { + if is_descending { + assert!( + entries[i - 1].timestamp >= entries[i].timestamp, + "Timeline should be consistently ordered (descending)" + ); + } else { + assert!( + entries[i - 1].timestamp <= entries[i].timestamp, + "Timeline should be consistently ordered (ascending)" + ); + } + } + } +} + +/// Test timeline with since filter. +#[test] +fn timeline_with_since_filter() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + + let timestamps = [1700000000i64, 1700001000, 1700002000, 1700003000]; + + for (i, ts) in timestamps.iter().enumerate() { + let opts = PutOptions { + uri: Some(format!("mv2://doc{}", i)), + timestamp: Some(*ts), + ..Default::default() + }; + mem.put_bytes_with_options(format!("Content {}", i).as_bytes(), opts) + .unwrap(); + } + mem.commit().unwrap(); + } + + let mut mem = Memvid::open_read_only(&path).unwrap(); + + // Get entries since 1700001500 + let query = TimelineQuery::builder() + .limit(NonZeroU64::new(10).unwrap()) + .since(1700001500) + .build(); + let entries = mem.timeline(query).unwrap(); + + for entry in &entries { + assert!( + entry.timestamp >= 1700001500, + "All entries should be >= since timestamp" + ); + } +} + +/// Test timeline with until filter. +#[test] +fn timeline_with_until_filter() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + + let timestamps = [1700000000i64, 1700001000, 1700002000, 1700003000]; + + for (i, ts) in timestamps.iter().enumerate() { + let opts = PutOptions { + uri: Some(format!("mv2://doc{}", i)), + timestamp: Some(*ts), + ..Default::default() + }; + mem.put_bytes_with_options(format!("Content {}", i).as_bytes(), opts) + .unwrap(); + } + mem.commit().unwrap(); + } + + let mut mem = Memvid::open_read_only(&path).unwrap(); + + // Get entries until 1700001500 + let query = TimelineQuery::builder() + .limit(NonZeroU64::new(10).unwrap()) + .until(1700001500) + .build(); + let entries = mem.timeline(query).unwrap(); + + for entry in &entries { + assert!( + entry.timestamp <= 1700001500, + "All entries should be <= until timestamp" + ); + } +} + +/// Test timeline respects limit. +#[test] +fn timeline_respects_limit() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + + for i in 0..20 { + let opts = PutOptions { + uri: Some(format!("mv2://doc{}", i)), + timestamp: Some(1700000000 + i as i64 * 1000), + ..Default::default() + }; + mem.put_bytes_with_options(format!("Content {}", i).as_bytes(), opts) + .unwrap(); + } + mem.commit().unwrap(); + } + + let mut mem = Memvid::open_read_only(&path).unwrap(); + let query = TimelineQuery::builder() + .limit(NonZeroU64::new(5).unwrap()) + .build(); + let entries = mem.timeline(query).unwrap(); + + assert_eq!( + entries.len(), + 5, + "Timeline should return exactly limit entries" + ); +} diff --git a/tests/single_file.rs b/tests/single_file.rs new file mode 100644 index 0000000..1633c9e --- /dev/null +++ b/tests/single_file.rs @@ -0,0 +1,429 @@ +//! Integration tests for single-file guarantee. +//! Ensures .mv2 files are completely self-contained with no sidecar files. + +use memvid_core::{Memvid, PutOptions}; +use std::fs; +use tempfile::TempDir; + +/// Windows needs extra time for Tantivy to release file handles. +/// Without this delay, TempDir cleanup fails with "Access is denied". +#[cfg(target_os = "windows")] +fn windows_file_handle_delay() { + std::thread::sleep(std::time::Duration::from_millis(100)); +} + +#[cfg(not(target_os = "windows"))] +fn windows_file_handle_delay() { + // No-op on Unix systems +} + +/// Helper to count files in a directory (excluding hidden). +fn count_files(dir: &std::path::Path) -> usize { + fs::read_dir(dir) + .unwrap() + .filter_map(|e| e.ok()) + .filter(|e| !e.file_name().to_string_lossy().starts_with('.')) + .count() +} + +/// Helper to list files in a directory. +fn list_files(dir: &std::path::Path) -> Vec { + fs::read_dir(dir) + .unwrap() + .filter_map(|e| e.ok()) + .map(|e| e.file_name().to_string_lossy().to_string()) + .collect() +} + +/// Test that create produces exactly one file. +#[test] +fn create_produces_single_file() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + mem.commit().unwrap(); + } + + let file_count = count_files(dir.path()); + assert_eq!( + file_count, + 1, + "Create should produce exactly 1 file, found: {:?}", + list_files(dir.path()) + ); +} + +/// Test that put maintains single file. +#[test] +fn put_maintains_single_file() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + + for i in 0..10 { + let opts = PutOptions { + uri: Some(format!("mv2://doc{}", i)), + ..Default::default() + }; + mem.put_bytes_with_options(format!("Content {}", i).as_bytes(), opts) + .unwrap(); + } + + mem.commit().unwrap(); + } + + let file_count = count_files(dir.path()); + assert_eq!( + file_count, + 1, + "Put should maintain single file, found: {:?}", + list_files(dir.path()) + ); +} + +/// Test that multiple commits maintain single file. +#[test] +fn multiple_commits_maintain_single_file() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + // First commit + { + let mut mem = Memvid::create(&path).unwrap(); + let opts = PutOptions { + uri: Some("mv2://doc1".to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(b"Content 1", opts).unwrap(); + mem.commit().unwrap(); + } + + let file_count_1 = count_files(dir.path()); + assert_eq!( + file_count_1, + 1, + "After first commit: {:?}", + list_files(dir.path()) + ); + + // Second commit + { + let mut mem = Memvid::open(&path).unwrap(); + let opts = PutOptions { + uri: Some("mv2://doc2".to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(b"Content 2", opts).unwrap(); + mem.commit().unwrap(); + } + + let file_count_2 = count_files(dir.path()); + assert_eq!( + file_count_2, + 1, + "After second commit: {:?}", + list_files(dir.path()) + ); + + // Third commit + { + let mut mem = Memvid::open(&path).unwrap(); + let opts = PutOptions { + uri: Some("mv2://doc3".to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(b"Content 3", opts).unwrap(); + mem.commit().unwrap(); + } + + let file_count_3 = count_files(dir.path()); + assert_eq!( + file_count_3, + 1, + "After third commit: {:?}", + list_files(dir.path()) + ); +} + +/// Test that update maintains single file. +#[test] +fn update_maintains_single_file() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + // Create + { + let mut mem = Memvid::create(&path).unwrap(); + let opts = PutOptions { + uri: Some("mv2://test".to_string()), + title: Some("Original".to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(b"Content", opts).unwrap(); + mem.commit().unwrap(); + } + + // Update + { + let mut mem = Memvid::open(&path).unwrap(); + let update_opts = PutOptions { + title: Some("Updated".to_string()), + ..Default::default() + }; + mem.update_frame(0, None, update_opts, None).unwrap(); + mem.commit().unwrap(); + } + + let file_count = count_files(dir.path()); + assert_eq!( + file_count, + 1, + "Update should maintain single file, found: {:?}", + list_files(dir.path()) + ); +} + +/// Test that delete maintains single file. +#[test] +fn delete_maintains_single_file() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + // Create with content + { + let mut mem = Memvid::create(&path).unwrap(); + for i in 0..5 { + let opts = PutOptions { + uri: Some(format!("mv2://doc{}", i)), + ..Default::default() + }; + mem.put_bytes_with_options(format!("Content {}", i).as_bytes(), opts) + .unwrap(); + } + mem.commit().unwrap(); + } + + // Delete + { + let mut mem = Memvid::open(&path).unwrap(); + mem.delete_frame(2).unwrap(); + mem.commit().unwrap(); + } + + let file_count = count_files(dir.path()); + assert_eq!( + file_count, + 1, + "Delete should maintain single file, found: {:?}", + list_files(dir.path()) + ); +} + +/// Test that enabling lex maintains single file. +#[test] +#[cfg(feature = "lex")] +fn enable_lex_maintains_single_file() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + mem.enable_lex().unwrap(); + + let opts = PutOptions { + uri: Some("mv2://test".to_string()), + search_text: Some("Searchable content".to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(b"Content", opts).unwrap(); + mem.commit().unwrap(); + } + + let file_count = count_files(dir.path()); + assert_eq!( + file_count, + 1, + "Lex index should be embedded, found: {:?}", + list_files(dir.path()) + ); +} + +/// Test that doctor maintains single file. +#[test] +fn doctor_maintains_single_file() { + use memvid_core::DoctorOptions; + + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + // Create + { + let mut mem = Memvid::create(&path).unwrap(); + let opts = PutOptions { + uri: Some("mv2://test".to_string()), + ..Default::default() + }; + mem.put_bytes_with_options(b"Content", opts).unwrap(); + mem.commit().unwrap(); + } + + // Run doctor + { + let _report = Memvid::doctor( + &path, + DoctorOptions { + rebuild_lex_index: false, + rebuild_time_index: true, + rebuild_vec_index: false, + vacuum: false, + dry_run: false, + quiet: true, + }, + ) + .unwrap(); + } + + let file_count = count_files(dir.path()); + assert_eq!( + file_count, + 1, + "Doctor should maintain single file, found: {:?}", + list_files(dir.path()) + ); +} + +/// Test no WAL sidecar files. +/// +/// NOTE: Skipped on Windows due to Tantivy file locking behavior. +/// See `large_file_maintains_single_file` for detailed explanation. +#[test] +#[cfg(not(target_os = "windows"))] +fn no_wal_sidecar_files() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + + // Do multiple operations that would touch WAL + for i in 0..100 { + let opts = PutOptions { + uri: Some(format!("mv2://doc{}", i)), + ..Default::default() + }; + mem.put_bytes_with_options(format!("Content {}", i).as_bytes(), opts) + .unwrap(); + } + + mem.commit().unwrap(); + } + + // Windows needs extra time for Tantivy to release file handles + windows_file_handle_delay(); + + let files = list_files(dir.path()); + + // Check for forbidden sidecar patterns + for file in &files { + assert!(!file.ends_with(".wal"), "Found WAL sidecar file: {}", file); + assert!(!file.ends_with(".shm"), "Found SHM sidecar file: {}", file); + assert!(!file.ends_with("-wal"), "Found -wal sidecar file: {}", file); + assert!(!file.ends_with("-shm"), "Found -shm sidecar file: {}", file); + assert!( + !file.ends_with(".lock"), + "Found lock sidecar file: {}", + file + ); + assert!( + !file.ends_with("-journal"), + "Found journal sidecar file: {}", + file + ); + } + + assert_eq!(files.len(), 1, "Should have exactly 1 file"); +} + +/// Test file is self-contained (can be copied and used). +#[test] +fn file_is_self_contained() { + let dir1 = TempDir::new().unwrap(); + let dir2 = TempDir::new().unwrap(); + let path1 = dir1.path().join("original.mv2"); + let path2 = dir2.path().join("copy.mv2"); + + // Create original + { + let mut mem = Memvid::create(&path1).unwrap(); + for i in 0..5 { + let opts = PutOptions { + uri: Some(format!("mv2://doc{}", i)), + title: Some(format!("Document {}", i)), + ..Default::default() + }; + mem.put_bytes_with_options(format!("Content {}", i).as_bytes(), opts) + .unwrap(); + } + mem.commit().unwrap(); + } + + // Copy file to new location + fs::copy(&path1, &path2).unwrap(); + + // Verify copy works independently + let mem = Memvid::open_read_only(&path2).unwrap(); + let stats = mem.stats().unwrap(); + + assert_eq!(stats.frame_count, 5, "Copied file should have all frames"); + + // Verify we can read frames from copy + let frame = mem.frame_by_id(0).unwrap(); + assert_eq!(frame.uri.as_deref(), Some("mv2://doc0")); + assert_eq!(frame.title.as_deref(), Some("Document 0")); +} + +/// Test large file maintains single file. +/// +/// NOTE: Skipped on Windows due to Tantivy file locking behavior. +/// When running with `lex` feature (default), Tantivy creates temporary index files +/// that Windows holds open longer than Unix systems. This causes sporadic +/// "Access is denied (os error 5)" failures during tempdir cleanup. +/// The underlying single-file guarantee is platform-independent and tested on Unix. +/// See also: `tests_lex_flag.rs` which uses the same skip pattern. +#[test] +#[cfg(not(target_os = "windows"))] +fn large_file_maintains_single_file() { + let dir = TempDir::new().unwrap(); + let path = dir.path().join("test.mv2"); + + { + let mut mem = Memvid::create(&path).unwrap(); + + // Add 100 documents with ~10KB each + for i in 0..100 { + let large_content = vec![b'x'; 10 * 1024]; + let opts = PutOptions { + uri: Some(format!("mv2://doc{}", i)), + ..Default::default() + }; + mem.put_bytes_with_options(&large_content, opts).unwrap(); + } + + mem.commit().unwrap(); + } + + // Windows needs extra time for Tantivy to release file handles + windows_file_handle_delay(); + + let file_count = count_files(dir.path()); + assert_eq!( + file_count, + 1, + "Large file should remain single, found: {:?}", + list_files(dir.path()) + ); +} diff --git a/tests/test_implicit_and.rs b/tests/test_implicit_and.rs new file mode 100644 index 0000000..983fe05 --- /dev/null +++ b/tests/test_implicit_and.rs @@ -0,0 +1,135 @@ +//! Integration tests for implicit AND operator behavior. +//! +//! These tests verify that multi-word queries without explicit operators +//! use AND logic (not OR) for high precision results. +//! +//! # Tests +//! +//! - `test_implicit_and_precision`: Verifies that multi-word queries return +//! only documents containing ALL terms (100% precision) +//! - `test_explicit_operators_still_work`: Ensures backward compatibility +//! with explicit AND/OR operators + +use memvid_core::{Memvid, PutOptions, SearchRequest}; + +#[test] +fn test_implicit_and_precision() -> memvid_core::Result<()> { + let temp_file = std::env::temp_dir().join("test_implicit_and.mv2"); + let _ = std::fs::remove_file(&temp_file); + + let mut mem = Memvid::create(&temp_file)?; + + mem.put_bytes_with_options( + b"Machine learning is a subset of artificial intelligence", + PutOptions::builder().title("Doc 1: ML only").build(), + )?; + + mem.put_bytes_with_options( + b"Python is a popular programming language", + PutOptions::builder().title("Doc 2: Python only").build(), + )?; + + mem.put_bytes_with_options( + b"Machine learning with Python is very powerful", + PutOptions::builder() + .title("Doc 3: Both ML and Python") + .build(), + )?; + + mem.commit()?; + + let results = mem.search(SearchRequest { + query: "machine python".to_string(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + })?; + + assert_eq!( + results.hits.len(), + 1, + "Query 'machine python' should match only 1 doc (Doc 3)" + ); + assert!( + results.hits[0].title.as_ref().unwrap().contains("Doc 3"), + "Should match Doc 3 which has both terms" + ); + + std::fs::remove_file(&temp_file)?; + Ok(()) +} + +#[test] +fn test_explicit_operators_still_work() -> memvid_core::Result<()> { + let temp_file = std::env::temp_dir().join("test_explicit_ops.mv2"); + let _ = std::fs::remove_file(&temp_file); + + let mut mem = Memvid::create(&temp_file)?; + + mem.put_bytes_with_options( + b"Rust programming language", + PutOptions::builder().title("Doc 1").build(), + )?; + + mem.put_bytes_with_options( + b"Go programming language", + PutOptions::builder().title("Doc 2").build(), + )?; + + mem.put_bytes_with_options( + b"Rust and Go are both systems languages", + PutOptions::builder().title("Doc 3").build(), + )?; + + mem.commit()?; + + // Explicit AND + let results = mem.search(SearchRequest { + query: "Rust AND Go".to_string(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + })?; + + assert_eq!(results.hits.len(), 1, "Explicit AND should work"); + + // Explicit OR + let results = mem.search(SearchRequest { + query: "Rust OR Go".to_string(), + top_k: 10, + snippet_chars: 200, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + })?; + + assert!(results.hits.len() >= 2, "Explicit OR should work"); + + std::fs::remove_file(&temp_file)?; + Ok(()) +} diff --git a/tests/xlsx_structured.rs b/tests/xlsx_structured.rs new file mode 100644 index 0000000..87c58c3 --- /dev/null +++ b/tests/xlsx_structured.rs @@ -0,0 +1,529 @@ +//! Integration tests for the structured XLSX extraction pipeline. +//! +//! Uses `/Users/olow/Desktop/memvid-org/arden.xlsx` — a real-world 1.7 MB +//! real-estate pro forma with 19 sheets, merged cells, currency/date formats, +//! and multi-table layouts. + +use std::time::Instant; + +use memvid_core::{ + DetectedTable, Memvid, PutOptions, SearchRequest, XlsxChunkingOptions, XlsxReader, +}; +use tempfile::TempDir; + +const ARDEN_PATH: &str = "/Users/olow/Desktop/memvid-org/arden.xlsx"; + +/// Load the test fixture. Returns `None` when the file is not present (CI). +fn try_load_arden() -> Option> { + std::fs::read(ARDEN_PATH).ok() +} + +macro_rules! require_arden { + () => { + match try_load_arden() { + Some(bytes) => bytes, + None => { + eprintln!("SKIP: arden.xlsx not found at {ARDEN_PATH}"); + return; + } + } + }; +} + +// --------------------------------------------------------------------------- +// Phase 1: Structured extraction speed + completeness +// --------------------------------------------------------------------------- + +#[test] +fn structured_extraction_completes_under_5s() { + let bytes = require_arden!(); + let start = Instant::now(); + let result = XlsxReader::extract_structured(&bytes).expect("extraction must succeed"); + let elapsed = start.elapsed(); + + println!("Extraction time: {elapsed:?}"); + println!("Flat text length: {} chars", result.text.len()); + println!("Tables detected: {}", result.tables.len()); + println!("Chunks produced: {}", result.chunks.chunks.len()); + println!( + "Diagnostics warnings: {}", + result.diagnostics.warnings.len() + ); + + assert!( + elapsed.as_secs() < 5, + "Structured extraction took {elapsed:?} — should be under 5s" + ); +} + +#[test] +fn detects_multiple_tables_across_sheets() { + let bytes = require_arden!(); + let result = XlsxReader::extract_structured(&bytes).unwrap(); + + // 19 sheets — should detect at least several tables + assert!( + result.tables.len() >= 5, + "Expected at least 5 tables from a 19-sheet workbook, got {}", + result.tables.len() + ); + + // Collect unique sheet names + let sheet_names: std::collections::HashSet<&str> = result + .tables + .iter() + .map(|t| t.sheet_name.as_str()) + .collect(); + println!("Sheets with tables: {sheet_names:?}"); + + assert!( + sheet_names.len() >= 3, + "Tables should span at least 3 sheets, got {}", + sheet_names.len() + ); +} + +#[test] +fn chunks_have_header_context() { + let bytes = require_arden!(); + let result = XlsxReader::extract_structured(&bytes).unwrap(); + + assert!( + !result.chunks.chunks.is_empty(), + "Should produce at least one chunk" + ); + + // Every chunk should contain sheet context prefix + let chunks_with_sheet = result + .chunks + .chunks + .iter() + .filter(|c| c.text.contains("[Sheet:")) + .count(); + + let ratio = chunks_with_sheet as f64 / result.chunks.chunks.len() as f64; + println!( + "Chunks with [Sheet:] prefix: {chunks_with_sheet}/{} ({:.0}%)", + result.chunks.chunks.len(), + ratio * 100.0 + ); + + assert!( + ratio > 0.8, + "At least 80% of chunks should have sheet context, got {:.0}%", + ratio * 100.0 + ); +} + +#[test] +fn chunks_respect_row_boundaries() { + let bytes = require_arden!(); + let result = XlsxReader::extract_structured(&bytes).unwrap(); + + for chunk in &result.chunks.chunks { + // No chunk should end with a partial header:value pair mid-line + // Each data line should have balanced pipes (Header: Value | Header: Value) + for line in chunk.text.lines().skip(2) { + // skip [Sheet:] prefix + header row + if line.trim().is_empty() { + continue; + } + // Lines should not be cut mid-cell (no trailing ':' without a value) + let trailing_colon = line.trim_end().ends_with(':'); + assert!( + !trailing_colon, + "Chunk has a line ending with bare colon (mid-row split?): {:?}", + &line[..line.len().min(80)] + ); + } + } +} + +#[test] +fn chunk_sizes_near_target() { + let bytes = require_arden!(); + let opts = XlsxChunkingOptions { + max_chars: 1200, + max_chunks: 500, + }; + let result = XlsxReader::extract_structured_with_options(&bytes, opts).unwrap(); + + let sizes: Vec = result.chunks.chunks.iter().map(|c| c.text.len()).collect(); + let avg = sizes.iter().sum::() as f64 / sizes.len().max(1) as f64; + let max = sizes.iter().max().copied().unwrap_or(0); + + println!( + "Chunk count: {}, avg size: {avg:.0} chars, max: {max} chars", + sizes.len() + ); + + // Average should be in a reasonable range + assert!( + avg < 2000.0, + "Average chunk is {avg:.0} chars — way over target" + ); + + // No chunk should be absurdly large (allow 3x target for wide rows) + assert!( + max < 5000, + "Max chunk is {max} chars — should be under 5000" + ); +} + +// --------------------------------------------------------------------------- +// Phase 2: OOXML metadata (merged cells, number formats) +// --------------------------------------------------------------------------- + +#[test] +fn merged_regions_detected() { + let bytes = require_arden!(); + let result = XlsxReader::extract_structured(&bytes).unwrap(); + + let total_merged: usize = result + .metadata + .merged_regions + .values() + .map(|v| v.len()) + .sum(); + println!("Total merged regions: {total_merged}"); + + // A complex real-estate pro forma with 19 sheets should have many merged cells + assert!( + total_merged > 0, + "Expected merged regions in a complex workbook" + ); +} + +#[test] +fn number_formats_parsed() { + let bytes = require_arden!(); + let result = XlsxReader::extract_structured(&bytes).unwrap(); + + println!("Number format entries: {}", result.metadata.num_fmts.len()); + println!("Cell XF entries: {}", result.metadata.cell_xfs.len()); + + // Financial workbook should have custom number formats + assert!( + !result.metadata.num_fmts.is_empty() || !result.metadata.cell_xfs.is_empty(), + "Expected number format metadata from a financial workbook" + ); +} + +// --------------------------------------------------------------------------- +// Phase 3: Flat text backward compatibility +// --------------------------------------------------------------------------- + +#[test] +fn flat_text_contains_key_data() { + let bytes = require_arden!(); + let result = XlsxReader::extract_structured(&bytes).unwrap(); + + let text = &result.text; + assert!( + text.len() > 1000, + "Flat text should be substantial, got {} chars", + text.len() + ); + + // Check for known content from the arden.xlsx file + let text_lower = text.to_lowercase(); + + // The file is a real estate deal for "TRG Apartments" in SLC, UT + let key_terms = [ + "sheet:", // Should have sheet labels + "248", // 248 units + ]; + + for term in &key_terms { + assert!( + text_lower.contains(&term.to_lowercase()), + "Flat text should contain '{term}'" + ); + } +} + +// --------------------------------------------------------------------------- +// Phase 4: End-to-end ingestion + search accuracy +// --------------------------------------------------------------------------- + +/// Ingest the XLSX into a Memvid file and return the path + temp dir (to keep alive). +/// Returns `None` when arden.xlsx is not available (CI). +fn ingest_arden() -> Option<(std::path::PathBuf, TempDir)> { + let bytes = try_load_arden()?; + let dir = TempDir::new().unwrap(); + let mv2_path = dir.path().join("arden.mv2"); + let result = XlsxReader::extract_structured(&bytes).unwrap(); + + let mut mem = Memvid::create(&mv2_path).unwrap(); + mem.enable_lex().unwrap(); + + // Ingest each chunk as a separate frame with search_text set to the chunk content + for (i, chunk) in result.chunks.chunks.iter().enumerate() { + let opts = PutOptions { + uri: Some(format!("mv2://arden/chunk/{i}")), + title: Some(format!("Arden XLSX chunk {i}")), + search_text: Some(chunk.text.clone()), + auto_tag: false, + extract_dates: false, + extract_triplets: false, + ..Default::default() + }; + mem.put_bytes_with_options(chunk.text.as_bytes(), opts) + .unwrap(); + } + + mem.commit().unwrap(); + Some((mv2_path, dir)) +} + +fn search_arden(mem: &mut Memvid, query: &str, top_k: usize) -> Vec { + mem.search(SearchRequest { + query: query.to_string(), + top_k, + snippet_chars: 300, + uri: None, + scope: None, + cursor: None, + #[cfg(feature = "temporal_track")] + temporal: None, + as_of_frame: None, + as_of_ts: None, + no_sketch: false, + acl_context: None, + acl_enforcement_mode: memvid_core::types::AclEnforcementMode::Audit, + }) + .unwrap() + .hits +} + +#[test] +#[cfg(feature = "lex")] +fn ingest_and_search_units() { + let Some((path, _dir)) = ingest_arden() else { + eprintln!("SKIP"); + return; + }; + let mut mem = Memvid::open_read_only(&path).unwrap(); + + // Search for unit count — the file has 248 multifamily units + let hits = search_arden(&mut mem, "248 units", 5); + + println!("Query '248 units' — {} hits", hits.len()); + for (i, h) in hits.iter().enumerate() { + println!( + " [{i}] score={:.3} uri={} text={:.120}", + h.score.unwrap_or(0.0), + h.uri, + h.text.replace('\n', " ") + ); + } + + assert!(!hits.is_empty(), "Should find results for '248 units'"); + + // At least one hit should contain "248" + let has_248 = hits.iter().any(|h| h.text.contains("248")); + assert!(has_248, "At least one hit should contain '248'"); +} + +#[test] +#[cfg(feature = "lex")] +fn ingest_and_search_financial_terms() { + let Some((path, _dir)) = ingest_arden() else { + eprintln!("SKIP"); + return; + }; + let mut mem = Memvid::open_read_only(&path).unwrap(); + + // The file contains construction costs, debt service, NOI, etc. + let queries = ["construction", "debt", "occupancy", "revenue", "lease"]; + + let mut found_count = 0; + for query in &queries { + let hits = search_arden(&mut mem, query, 3); + println!("Query '{query}': {} hits", hits.len()); + + if !hits.is_empty() { + found_count += 1; + println!( + " Top hit: score={:.3} text={:.100}", + hits[0].score.unwrap_or(0.0), + hits[0].text.replace('\n', " ") + ); + } + } + + // At least 3 out of 5 financial queries should return results + assert!( + found_count >= 3, + "Expected at least 3/5 financial queries to match, got {found_count}/5" + ); +} + +#[test] +#[cfg(feature = "lex")] +fn search_hits_contain_header_context() { + let Some((path, _dir)) = ingest_arden() else { + eprintln!("SKIP"); + return; + }; + let mut mem = Memvid::open_read_only(&path).unwrap(); + + let hits = search_arden(&mut mem, "construction", 5); + + if hits.is_empty() { + println!("WARN: no hits for 'construction' — skipping header context check"); + return; + } + + // Check that hit text contains structured context (sheet/table prefix or header:value pairs) + let has_context = hits + .iter() + .any(|h| h.text.contains("[Sheet:") || h.text.contains(':')); + + assert!( + has_context, + "Search hits should contain structured context (sheet prefix or header:value pairs)" + ); +} + +// --------------------------------------------------------------------------- +// Phase 5: Full pipeline timing benchmark +// --------------------------------------------------------------------------- + +#[test] +#[cfg(feature = "lex")] +fn full_pipeline_timing() { + let bytes = require_arden!(); + + // Step 1: Structured extraction + let t0 = Instant::now(); + let result = XlsxReader::extract_structured(&bytes).unwrap(); + let extraction_time = t0.elapsed(); + + // Step 2: Memvid create + lex enable + let dir = TempDir::new().unwrap(); + let mv2_path = dir.path().join("bench.mv2"); + + let t1 = Instant::now(); + let mut mem = Memvid::create(&mv2_path).unwrap(); + mem.enable_lex().unwrap(); + + // Step 3: Ingest all chunks + for (i, chunk) in result.chunks.chunks.iter().enumerate() { + let opts = PutOptions { + uri: Some(format!("mv2://arden/chunk/{i}")), + title: Some(format!("Chunk {i}")), + search_text: Some(chunk.text.clone()), + auto_tag: false, + extract_dates: false, + extract_triplets: false, + ..Default::default() + }; + mem.put_bytes_with_options(chunk.text.as_bytes(), opts) + .unwrap(); + } + mem.commit().unwrap(); + let ingest_time = t1.elapsed(); + + // Step 4: Search + let mut mem = Memvid::open_read_only(&mv2_path).unwrap(); + let t2 = Instant::now(); + let hits = search_arden(&mut mem, "construction cost", 10); + let search_time = t2.elapsed(); + + let total = extraction_time + ingest_time + search_time; + + println!("=== Full Pipeline Timing ==="); + println!(" XLSX extraction: {extraction_time:?}"); + println!( + " Memvid ingest: {ingest_time:?} ({} chunks)", + result.chunks.chunks.len() + ); + println!(" Search query: {search_time:?} ({} hits)", hits.len()); + println!(" TOTAL: {total:?}"); + println!(" Tables detected: {}", result.tables.len()); + println!(" Flat text chars: {}", result.text.len()); + println!( + " MV2 file size: {} KB", + std::fs::metadata(&mv2_path).unwrap().len() / 1024 + ); + + // In release mode, target is under 40s. Debug mode gets 3x slack for + // unoptimized Tantivy indexing on 500 individual put_bytes calls. + let limit = if cfg!(debug_assertions) { 180 } else { 40 }; + assert!( + total.as_secs() < limit, + "Full pipeline took {total:?} — target is under {limit}s" + ); +} + +// --------------------------------------------------------------------------- +// Phase 6: Table detection quality +// --------------------------------------------------------------------------- + +#[test] +fn tables_have_headers() { + let bytes = require_arden!(); + let result = XlsxReader::extract_structured(&bytes).unwrap(); + + let tables_with_headers: Vec<&DetectedTable> = result + .tables + .iter() + .filter(|t| !t.headers.is_empty()) + .collect(); + + println!( + "Tables with headers: {}/{}", + tables_with_headers.len(), + result.tables.len() + ); + + for t in &tables_with_headers { + println!( + " [{}] '{}' — {} headers, {} rows, confidence={:.2}", + t.sheet_name, + t.name, + t.headers.len(), + t.last_data_row.saturating_sub(t.first_data_row) + 1, + t.confidence + ); + } + + // Most tables should have detected headers + let ratio = tables_with_headers.len() as f64 / result.tables.len().max(1) as f64; + assert!( + ratio > 0.5, + "At least 50% of tables should have headers, got {:.0}%", + ratio * 100.0 + ); +} + +#[test] +fn table_column_types_inferred() { + let bytes = require_arden!(); + let result = XlsxReader::extract_structured(&bytes).unwrap(); + + let tables_with_types: Vec<&DetectedTable> = result + .tables + .iter() + .filter(|t| !t.column_types.is_empty()) + .collect(); + + println!( + "Tables with column types: {}/{}", + tables_with_types.len(), + result.tables.len() + ); + + for t in &tables_with_types[..tables_with_types.len().min(5)] { + println!( + " [{}] '{}' — types: {:?}", + t.sheet_name, t.name, t.column_types + ); + } + + assert!( + !tables_with_types.is_empty(), + "At least some tables should have inferred column types" + ); +}