Implements the full explainability overlay for understanding why a blob was detected:
- ExplainabilitySnapshot generation with per-link contribution tracking and zone decay
- Fresnel zone ellipsoid geometry computation and 3D wireframe rendering
- WebSocket request_explain / blob_explain flow for on-demand snapshots
- Right-click, long-press, click, and hover tooltip activation paths
- X-ray overlay dims non-contributing elements, highlights contributing links
- Sidebar panel with confidence gauge, links table, sparklines, BLE match card
- Escape key and backdrop click to exit, restoring scene state
Also includes: simple mode removal, CSS cleanup, fleet page enhancements, sidebar timeline fixes.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Implement REST API endpoints for managing learned weights and tracking
improvement in the self-improving localization system.
- Add LocalizationHandler with endpoints for:
- GET /api/localization/weights - get all learned link weights
- GET /api/localization/weights/{linkID} - get specific link weight
- POST /api/localization/weights/reset - reset all weights to default
- GET /api/localization/spatial-weights - get spatial weights per zone
- GET /api/localization/groundtruth/* - ground truth sample management
- GET /api/localization/accuracy/* - position accuracy tracking
- GET /api/localization/learning/* - learning progress and history
- Integrate spatial weight learner into fusion engine:
- Add AddLinkInfluenceWithSpatialWeights to grid.go for per-cell weight application
- Update Fuse() in fusion.go to use spatial weight functions when available
- Apply both sigma adjustments and spatial weights for Fresnel zone computation
- Add comprehensive table-driven tests for all API endpoints
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add anomaly.css and sleep.css to dashboard includes
- Add sleep.js for sleep quality monitoring
- Implement analytics API handler (flow, dwell, corridors)
- Add tracks API and tests for time-based data queries
- Add sleep monitor tests
- AnomalyDetector initialized and running in main()
- Anomaly events broadcast via WebSocket to dashboard
- Security mode arm/disarm persists across restarts (learning_state table)
- Learning progress tracking and display
- Alert banner with acknowledge functionality
- All API endpoints wired: /api/anomalies, /api/security/*, /api/analytics/*
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
