AnomalyDetector is initialized in main() with periodic model updates.
Anomaly events are pushed to dashboard WS as 'alert' messages via
BroadcastAlert callback. Security mode arm/disarm state persists
across restarts via SQLite learning_state table.
Endpoints:
- GET /api/anomalies?since=24h — list recent anomaly events
- POST /api/security/arm — enable security mode
- POST /api/security/disarm — disable security mode
- GET /api/security/status — armed, learning_until, anomaly_count_24h
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Fix migration 001 floorplan schema: use distance_m instead of cal_distance_m,
and rotation_deg instead of room_bounds_json
- Update migration 010 to ALTER existing floorplan tables for databases
that already ran migration 001
- Create /data/floorplan directory in db.OpenDB for storing floor plan images
- Rename health endpoint JSON field from 'load_level' to 'shedding_level'
- Add GetShedLevel callback to health checker for direct ProcessorManager access
- Dashboard WebSocket alerts now broadcast on Level 3 trigger and recovery
- Level 3 actively pushes 10Hz rate cap to all connected nodes
- Recovery from Level 3 restores adaptive rate control automatically
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Implements a comprehensive e2e test system that:
- Starts mothership container/binary
- Waits for /healthz with 15s timeout
- Handles PIN auth setup if needed
- Runs CSI simulator against mothership
- Asserts during run (health, nodes online, blob detection)
- Validates frame rate doesn't drop >20%
- Asserts detection events recorded
Components added:
- mothership/cmd/sim: CSI simulator that generates synthetic frames
- mothership/tests/e2e: Go test suite with WebSocket assertions
- tests/e2e/run.sh: Shell script with comprehensive assertions
- .github/workflows/e2e.yml: CI workflow for automated testing
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
