- Add MacosCoreWlanScanner (macOS): CoreWLAN Swift helper adapter with
synthetic BSSID generation via FNV-1a hash for redacted MACs (ADR-025)
- Add LinuxIwScanner (Linux): parses `iw dev <iface> scan` output with
freq-to-channel conversion and BSS stanza parsing
- Both adapters produce Vec<BssidObservation> compatible with the
existing WindowsWifiPipeline 8-stage processing
- Platform-gate modules with #[cfg(target_os)] so each adapter only
compiles on its target OS
- Fix Python MacosWifiCollector: remove synthetic byte counters that
produced misleading tx_bytes/rx_bytes data (set to 0)
- Add compiled Swift binary (mac_wifi) to .gitignore
Co-Authored-By: claude-flow <ruv@ruv.net>
Add native macOS LiDAR / WiFi sensing support via CoreWLAN:
- mac_wifi.swift: Swift helper to poll RSSI/Noise at 10Hz
- MacosWifiCollector: Python adapter for the sensing pipeline
- Auto-detect Darwin platform in ws_server.py
- Add table name whitelist validation in status.py
- Use SQLAlchemy ORM instead of raw SQL queries
- Replace string formatting with parameterized queries in migrations
- Add input validation for table names in migration scripts
- Add Python WebSocket sensing server (ws_server.py) with ESP32 UDP CSI
and Windows RSSI auto-detect collectors on port 8765
- Add Three.js Gaussian splat renderer with custom GLSL shaders for
real-time WiFi signal field visualization (blue→green→red gradient)
- Add SensingTab component with RSSI sparkline, feature meters, and
motion classification badge
- Add sensing.service.js WebSocket client with reconnect and simulation fallback
- Implement sensing-only mode: suppress all DensePose API calls when
FastAPI backend (port 8000) is not running, clean console output
- ADR-019: Document sensing-only UI architecture and data flow
- ADR-020: Migrate AI/model inference to Rust with RuVector ONNX Runtime,
replacing ~2.7GB Python stack with ~50MB static binary
- Add ruvnet/ruvector as upstream remote for RuVector crate ecosystem
Co-Authored-By: claude-flow <ruv@ruv.net>
The source code was moved to v1/src/ but the Dockerfile still
referenced src/ directly, causing build failures. Updated all
COPY paths, uvicorn module paths, test paths, and bandit scan
paths. Also added missing v1/__init__.py for Python module
resolution.
Fixes#33
Co-Authored-By: claude-flow <ruv@ruv.net>
Production code:
- pose_service.py: real uptime tracking (_start_time), real calibration
state machine (_calibration_in_progress, _calibration_id), proper
get_calibration_status() using elapsed time, uptime in health_check()
- health.py: _APP_START_TIME module constant for real uptime_seconds
- dependencies.py: remove TODO, document JWT config requirement clearly
ADR-017 status: Proposed → Accepted (all 7 integrations complete)
Test fixes (170 unit tests — 0 failures):
- Fix hardcoded /workspaces/wifi-densepose devcontainer paths in 4 files;
replaced with os.path relative to __file__
- test_csi_extractor_tdd/standalone: update ESP32 fixture to provide
correct 3×56 amplitude+phase values (was only 3 values)
- test_csi_standalone/tdd_complete: Atheros tests now expect
CSIExtractionError (implementation raises it correctly)
- test_router_interface_tdd: register module in sys.modules so
patch('src.hardware.router_interface...') resolves; fix
test_should_parse_csi_response to expect RouterConnectionError
- test_csi_processor: rewrite to use actual preprocess_csi_data /
extract_features API with proper CSIData fixtures; fix constructor
- test_phase_sanitizer: fix constructor (requires config), rename
sanitize() → sanitize_phase(), fix empty-data fixture (use 2D array),
fix phase data to stay within [-π, π] validation range
Proof bundle: PASS — SHA-256 hash matches, no random patterns in prod code
https://claude.ai/code/session_01BSBAQJ34SLkiJy4A8SoiL4
Optimization:
- Cache mean phase per frame in ring buffer for O(1) Doppler access
- Sliding window (last 64 frames) instead of full history traversal
- Doppler FFT: 253.9us -> 44.9us per frame (5.7x faster)
- Full pipeline: 719.2us -> 254.2us per frame (2.8x faster)
Trust kill switch:
- ./verify: one-command proof replay with SHA-256 hash verification
- Enhanced verify.py with source provenance, feature inspection, --audit
- Makefile with verify/verify-verbose/verify-audit targets
- New hash: 0b82bd45e836e5a99db0494cda7795832dda0bb0a88dac65a2bab0e949950ee0
Benchmark fix:
- NN inference_bench.rs uses MockBackend instead of calling forward()
which now correctly errors when no weights are loaded
https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
Add comprehensive test suite (36 tests) for the ADR-013 commodity sensing
module covering all components: RingBuffer, SimulatedCollector determinism,
feature extraction (time-domain stats, FFT spectral analysis, band power
isolation), CUSUM change-point detection, presence/motion classification,
and end-to-end CommodityBackend pipeline.
Fix feature_extractor.py: add missing _trim_to_window method that caused
AttributeError on the WifiSample extraction path, add post-trim sample
count guard, and handle constant-signal edge case in skewness/kurtosis
computation to prevent scipy RuntimeWarning.
https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
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
- .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
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
- 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
- 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
