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219 lines
7.5 KiB
Plaintext
219 lines
7.5 KiB
Plaintext
---
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title: Disk
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description: Mount a local directory as a Mirage resource with read/write shell commands and path traversal protection.
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icon: hard-drive
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---
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The Disk resource mounts a local directory at some prefix such as `/data/`.
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All operations are backed by real files on disk. Path resolution validates
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against the root boundary to prevent directory traversal escapes.
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## Config
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```python
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from mirage import MountMode, Workspace
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from mirage.resource.disk import DiskResource
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resource = DiskResource(root="/path/to/dir")
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ws = Workspace({"/data": resource}, mode=MountMode.READ)
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```
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`DiskResource(root=...)` takes a single `root` path argument pointing to the
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directory to mount. Both `READ` and `WRITE` modes are supported.
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## Filesystem Layout
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The Disk resource mirrors the structure of the `root` directory. For example,
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if `root="/srv/files"` contains:
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```text
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/srv/files/
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notes.txt
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config.json
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reports/
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q1.csv
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q2.csv
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```
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Then mounting at `/data/` exposes:
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```text
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/data/
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notes.txt
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config.json
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reports/
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q1.csv
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q2.csv
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```
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Paths like `../../etc/passwd` are rejected - resolution is always confined
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to the root boundary.
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## Cache
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The Disk resource uses `IndexCacheStore` with `index_ttl = 60` (1 minute).
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Directory listings are cached for up to 60 seconds before being refreshed
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from disk.
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## Example
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```python
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import asyncio
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import shutil
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import tempfile
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from pathlib import Path
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from mirage import MountMode, Workspace
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from mirage.resource.disk import DiskResource
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DATA_DIR = Path("/path/to/files")
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tmp = tempfile.mkdtemp()
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shutil.copytree(DATA_DIR, Path(tmp) / "files", dirs_exist_ok=True)
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resource = DiskResource(root=tmp + "/files")
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async def main() -> None:
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ws = Workspace({"/data/": resource}, mode=MountMode.READ)
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r = await ws.execute("ls /data/")
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print(await r.stdout_str())
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r = await ws.execute("cat /data/example.json")
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print(await r.stdout_str())
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r = await ws.execute("tree /data/")
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print(await r.stdout_str())
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r = await ws.execute("find /data/ -name '*.json'")
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print(await r.stdout_str())
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r = await ws.execute("grep example /data/example.json")
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print(await r.stdout_str())
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r = await ws.execute("stat /data/example.json")
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print(await r.stdout_str())
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if __name__ == "__main__":
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asyncio.run(main())
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```
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## Shell Commands
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The Disk resource supports the full set of shell commands since it operates
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on real file content (text, binary, JSON, CSV, etc.):
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### Read Commands
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| Command | Notes |
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| --------------- | ------------------------------------------ |
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| `cat` | Read file content |
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| `head` / `tail` | First/last N lines |
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| `grep` / `rg` | Pattern search (file or directory level) |
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| `jq` | Query JSON fields |
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| `wc` | Line/word/byte counts |
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| `stat` | File metadata (name, size, type, modified) |
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| `find` | Recursive search with `-name`, `-maxdepth` |
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| `tree` | Directory tree view |
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| `nl` | Number lines |
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| `du` | Disk usage summary |
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| `file` | Detect file type |
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| `strings` | Extract printable strings from binary |
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| `xxd` | Hex dump |
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| `md5` | MD5 checksum |
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| `sha256sum` | SHA-256 checksum |
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### Text Processing
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| Command | Notes |
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| ---------- | ------------------------------------------- |
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| `awk` | Pattern scanning and processing |
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| `sed` | Stream editor |
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| `tr` | Translate or delete characters |
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| `sort` | Sort lines |
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| `uniq` | Remove duplicate lines |
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| `cut` | Extract fields/columns |
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| `join` | Join lines on a common field |
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| `paste` | Merge lines side by side |
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| `column` | Columnate output |
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| `fold` | Wrap lines to a specified width |
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| `expand` | Convert tabs to spaces |
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| `unexpand` | Convert spaces to tabs |
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| `fmt` | Simple text formatter |
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| `rev` | Reverse lines |
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| `tac` | Concatenate and print in reverse |
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| `look` | Display lines beginning with a given string |
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| `shuf` | Shuffle lines |
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| `tsort` | Topological sort |
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| `comm` | Compare two sorted files |
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| `cmp` | Compare two files byte by byte |
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| `diff` | Compare files line by line |
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| `patch` | Apply a diff patch |
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| `iconv` | Character encoding conversion |
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### File Operations
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| Command | Notes |
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| -------- | ------------------------------------- |
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| `cp` | Copy files |
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| `mv` | Move/rename files |
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| `rm` | Remove files |
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| `mkdir` | Create directories |
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| `touch` | Create empty file or update timestamp |
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| `ln` | Create symbolic links |
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| `tee` | Write stdin to file and stdout |
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| `mktemp` | Create temporary file |
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| `split` | Split file into pieces |
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| `csplit` | Split file by context |
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### Path Utilities
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| Command | Notes |
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| ---------- | -------------------------- |
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| `basename` | Strip directory from path |
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| `dirname` | Strip filename from path |
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| `realpath` | Resolve path |
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| `readlink` | Print symbolic link target |
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| `ls` | List directory contents |
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### Compression
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| Command | Notes |
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| -------- | --------------------- |
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| `gzip` | Compress files |
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| `gunzip` | Decompress gzip files |
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| `zip` | Create zip archives |
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| `unzip` | Extract zip archives |
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| `tar` | Archive files |
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| `zcat` | Cat compressed files |
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| `zgrep` | Grep compressed files |
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### Encoding
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| Command | Notes |
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| -------- | -------------------- |
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| `base64` | Base64 encode/decode |
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### Data Format Support
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Commands with format-specific variants for structured data files:
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| Format | Extension | Variants |
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| ------- | ---------- | ---------------------------------------------- |
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| Parquet | `.parquet` | cat, head, tail, wc, stat, cut, grep, ls, file |
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| Feather | `.feather` | cat, head, tail, wc, stat, cut, grep, ls, file |
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| ORC | `.orc` | cat, head, tail, wc, stat, cut, grep, ls, file |
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| HDF5 | `.hdf5` | cat, head, tail, wc, stat, cut, grep, ls, file |
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These variants auto-detect the format by extension and convert to
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tabular text (CSV) for processing.
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## Use Cases
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- **Local directory access**: Mount local directories for AI agents to read and process
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- **Sandboxed file access**: Restrict agent file operations to a specific directory tree
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- **FUSE mounting**: Expose disk files through a virtual FUSE mount for external tools
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- **Data pipelines**: Process local datasets with shell-like commands
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- **Development**: Test file operations against real data before deploying to cloud resources
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