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36 lines
3.1 KiB
Markdown
36 lines
3.1 KiB
Markdown
# Domain Models
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This folder contains Domain-Driven Design (DDD) specifications for each major subsystem in RuView.
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DDD organizes the codebase around the problem being solved — not around technical layers. Each *bounded context* owns its own data, rules, and language. Contexts communicate through domain events, not by sharing mutable state. This makes the system easier to reason about, test, and extend — whether you're a person or an AI agent.
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## Models
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| Model | What it covers | Bounded Contexts |
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|-------|---------------|------------------|
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| [RuvSense](ruvsense-domain-model.md) | Multistatic WiFi sensing, pose tracking, vital signs, edge intelligence | 7 contexts: Sensing, Coherence, Tracking, Field Model, Longitudinal, Spatial Identity, Edge Intelligence |
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| [Signal Processing](signal-processing-domain-model.md) | SOTA signal processing: phase cleaning, feature extraction, motion analysis | 3 contexts: CSI Preprocessing, Feature Extraction, Motion Analysis |
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| [Training Pipeline](training-pipeline-domain-model.md) | ML training: datasets, model architecture, embeddings, domain generalization | 4 contexts: Dataset Management, Model Architecture, Training Orchestration, Embedding & Transfer |
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| [Hardware Platform](hardware-platform-domain-model.md) | ESP32 firmware, edge intelligence, WASM runtime, aggregation, provisioning | 5 contexts: Sensor Node, Edge Processing, WASM Runtime, Aggregation, Provisioning |
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| [Sensing Server](sensing-server-domain-model.md) | Single-binary Axum server: CSI ingestion, model management, recording, training, visualization | 5 contexts: CSI Ingestion, Model Management, CSI Recording, Training Pipeline, Visualization |
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| [WiFi-Mat](wifi-mat-domain-model.md) | Disaster response: survivor detection, START triage, mass casualty assessment | 3 contexts: Detection, Localization, Alerting |
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| [CHCI](chci-domain-model.md) | Coherent Human Channel Imaging: sub-millimeter body surface reconstruction | 3 contexts: Sounding, Channel Estimation, Imaging |
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| [rvCSI](rvcsi-domain-model.md) | Edge RF sensing runtime: multi-source CSI ingestion, validation, normalization, event extraction, RuVector RF memory, agent/MCP integration | 7 contexts: Capture, Validation, Signal, Calibration, Event, Memory, Agent |
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## How to read these
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Each model defines:
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- **Ubiquitous Language** — Terms with precise meanings used in both code and conversation
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- **Bounded Contexts** — Independent subsystems with clear responsibilities and boundaries
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- **Aggregates** — Clusters of objects that enforce business rules (e.g., a PoseTrack owns its keypoints)
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- **Value Objects** — Immutable data with meaning (e.g., a CoherenceScore is not just a float)
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- **Domain Events** — Things that happened that other contexts may care about
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- **Invariants** — Rules that must always be true (e.g., "drift alert requires >2sigma for >3 days")
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- **Anti-Corruption Layers** — Adapters that translate between contexts without leaking internals
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## Related
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- [Architecture Decision Records](../adr/README.md) — Why each technical choice was made
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- [User Guide](../user-guide.md) — Setup and API reference
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