- Added comprehensive integration tests in test/acceptance/ covering all 6 acceptance scenarios from plan.md
- AS-1: First-time setup in under 5 minutes - verifies PIN setup and node auto-discovery
- AS-2: Person detected while walking - verifies blob detection during walker simulation
- AS-3: Fall alert fires correctly - verifies fall detection with webhook integration
- AS-4: BLE identity resolves to person name - verifies BLE device registration and identity matching
- AS-5: OTA update succeeds / rollback on bad firmware - verifies OTA workflow and rollback
- AS-6: Replay shows recorded history - verifies replay session creation, seeking, and playback
Tests use spaxel-sim CLI as the test harness and verify:
- API endpoint responses (/api/auth/setup, /api/nodes, /api/blobs, /api/events, /api/ble/devices, /api/replay/*)
- Detection accuracy thresholds (>60% blob presence during walking)
- Alert generation and webhook delivery
- Firmware version updates and rollback behavior
- Replay session lifecycle management
All tests skip by default unless ACCEPTANCE_TEST=1 or SPAXEL_INTEGRATION_TEST=1 is set.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Three issues resolved in the detection explainability system:
- computeExplanation returned early when grid==nil (always the case in the
live fusion loop), causing all explain requests to return empty link
contributions. Removed the unnecessary nil-grid guard since the Fresnel
computation uses only blob/link positions, not the grid.
- Contribution values were raw deltaRMS×weight×zoneDecay scalars, not
percentages. Now normalized so contributing links sum to 1.0, giving the
dashboard a proper confidence breakdown (60% / 40% / etc.).
- Fixed off-by-one in blobHistory eviction (kept 101 instead of 100).
Added 23 table-driven tests covering: nil-grid computation, single/multi-link
normalization, Fresnel zone number geometry, ellipsoid generation, HTTP
handlers (200/400 paths), WebSocket snapshot fields, BLE match inclusion,
zone decay inverse-square law, and history eviction cap.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Detects when user changes same config setting 3+ times within 24 hours.
Shows non-intrusive prompt offering help with guided calibration flow.
Guided calibration features:
- Test for false positives (walk around room)
- Test for missed motion (sit still)
- Suggest optimal value based on diurnal baseline SNR and link health
- Apply suggested value button
Files:
- dashboard/js/proactive.js: Complete implementation with localStorage tracking
Acceptance:
- Help prompt fires after 3+ changes in 24h
- Calibration flow tests both directions
- Suggests value based on system data
- Apply button works
AnomalyDetector initialized in main() with periodic model updates.
Anomaly events broadcast to dashboard WS as 'alert' messages via
BroadcastAlert. GET /api/anomalies?since=24h lists recent events.
POST /api/security/arm and /api/security/disarm manage security mode.
GET /api/security/status returns armed state, learning progress, and
24h anomaly count. Arm/disarm state persisted to learning_state table
and restored on restart.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add explainability.js module with sidebar panel, X-ray overlay, Fresnel zone rendering
- Add explainability handler with /api/explain/{blobID} endpoint
- Fix viz3d.js CONFIG reference by adding FRESNEL_CONFIG constant
- Integrate explainability into fusion engine and ingestion server
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
