Commit Graph

6 Commits

Author SHA1 Message Date
Claude
5210ef4baa fix: Update configure_csi_collection to use MockCSIGenerator from testing module
The configure_csi_collection method was still referencing the old
mock_data_generator dict directly instead of delegating to the
MockCSIGenerator instance from the testing module. This completes the
ADR-011 mock isolation by ensuring all mock CSI configuration flows
through v1/src/testing/mock_csi_generator.py.

https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
2026-02-28 06:21:53 +00:00
Claude
4b2e7bfecf feat: CI pipeline verification, 3D body model, auth fixes, requirements lock
- .github/workflows/verify-pipeline.yml: CI that verifies pipeline
  determinism and checks for np.random in production code
- ui/components/body-model.js: Three.js 3D human body model with
  24 DensePose body parts mapped to 3D geometry
- v1/requirements-lock.txt: Minimal pinned dependencies for verification
- v1/src/api/dependencies.py: Fix mock auth returns with proper errors
- v1/src/core/router_interface.py: Additional mock mode cleanup
- v1/src/services/pose_service.py: Further mock elimination in service

https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
2026-02-28 06:20:08 +00:00
Claude
2199174cac feat: Add commodity sensing, proof bundle, Three.js viz, mock isolation
Commodity Sensing Module (ADR-013):
- sensing/rssi_collector.py: Real Linux WiFi RSSI collection from
  /proc/net/wireless and iw commands, with SimulatedCollector for testing
- sensing/feature_extractor.py: FFT-based spectral analysis, CUSUM
  change-point detection, breathing/motion band power extraction
- sensing/classifier.py: Rule-based presence/motion classification
  with confidence scoring and multi-receiver agreement
- sensing/backend.py: Common SensingBackend protocol with honest
  capability reporting (PRESENCE + MOTION only for commodity)

Proof of Reality Bundle (ADR-011):
- data/proof/generate_reference_signal.py: Deterministic synthetic CSI
  with known breathing (0.3 Hz) and walking (1.2 Hz) signals
- data/proof/sample_csi_data.json: Generated reference signal
- data/proof/verify.py: One-command pipeline verification with SHA-256
- data/proof/expected_features.sha256: Expected output hash

Three.js Visualization:
- ui/components/scene.js: 3D scene setup with OrbitControls

Mock Isolation:
- testing/mock_pose_generator.py: Mock pose generation moved out of
  production pose_service.py
- services/pose_service.py: Cleaned mock paths

https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
2026-02-28 06:18:58 +00:00
Claude
e3f0c7a3fa fix: Eliminate remaining mock data paths, isolate test infrastructure
- core/router_interface.py: Replace placeholder _collect_real_csi_data()
  with explicit RuntimeError directing users to hardware setup docs
- hardware/router_interface.py: Replace np.random.rand() in
  _parse_csi_response() with RouterConnectionError requiring real parser
- testing/: New isolated module for mock data generation (moved out of
  production code paths per ADR-011)
- sensing/: Initialize commodity sensing module (ADR-013)

No production code path returns random data. Mock mode requires explicit
opt-in via WIFI_DENSEPOSE_MOCK=true environment variable.

https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
2026-02-28 06:16:45 +00:00
Claude
fd493e5103 fix: Replace mock/placeholder code with real implementations (ADR-011)
- csi_processor.py: Replace np.random.rand(10) Doppler placeholder with
  real temporal phase-difference FFT extraction from CSI history buffer.
  Returns zeros (not random) when insufficient history frames available.

- csi_extractor.py: Replace np.random.rand() fallbacks in ESP32 and
  Atheros parsers with proper data parsing (ESP32) and explicit error
  raising (Atheros). Add CSIExtractionError for clear failure reporting
  instead of silent random data substitution.

These are the two most critical mock eliminations identified in ADR-011.

https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
2026-02-28 06:15:55 +00:00
Claude
6ed69a3d48 feat: Complete Rust port of WiFi-DensePose with modular crates
Major changes:
- Organized Python v1 implementation into v1/ subdirectory
- Created Rust workspace with 9 modular crates:
  - wifi-densepose-core: Core types, traits, errors
  - wifi-densepose-signal: CSI processing, phase sanitization, FFT
  - wifi-densepose-nn: Neural network inference (ONNX/Candle/tch)
  - wifi-densepose-api: Axum-based REST/WebSocket API
  - wifi-densepose-db: SQLx database layer
  - wifi-densepose-config: Configuration management
  - wifi-densepose-hardware: Hardware abstraction
  - wifi-densepose-wasm: WebAssembly bindings
  - wifi-densepose-cli: Command-line interface

Documentation:
- ADR-001: Workspace structure
- ADR-002: Signal processing library selection
- ADR-003: Neural network inference strategy
- DDD domain model with bounded contexts

Testing:
- 69 tests passing across all crates
- Signal processing: 45 tests
- Neural networks: 21 tests
- Core: 3 doc tests

Performance targets:
- 10x faster CSI processing (~0.5ms vs ~5ms)
- 5x lower memory usage (~100MB vs ~500MB)
- WASM support for browser deployment
2026-01-13 03:11:16 +00:00