No description
ef75a823fc
Implemented prediction API handler with comprehensive REST endpoints:
- GET /api/predictions - Get all predictions (optional filter by person/horizon)
- GET /api/predictions/stats - Get prediction statistics and data age
- POST /api/predictions/recompute - Force probability recomputation
- GET /api/predictions/accuracy - Get accuracy stats for all people
- GET /api/predictions/accuracy/overall - Get overall system accuracy
- GET /api/predictions/accuracy/{personID} - Get person-specific accuracy
- GET /api/predictions/pending - Get pending prediction count
- GET /api/predictions/patterns/zones - Get zone occupancy patterns
- GET /api/predictions/patterns/zones/{zoneID} - Get pattern for specific zone
- POST /api/predictions/patterns/compute - Compute zone occupancy patterns
- GET /api/predictions/horizon - Get Monte Carlo horizon predictions
- GET /api/predictions/horizon/{personID} - Get horizon prediction for person
The implementation includes:
- Proper error handling with appropriate HTTP status codes
- Query parameter support for filtering (person, horizon)
- JSON responses for all endpoints
- Helper function for logging prediction accuracy
- Table-driven tests for all endpoints
HA sensor exposure for predictions was already implemented in the MQTT
client via PublishPredictionSensors() and UpdatePredictionState() methods.
Accepts the 75% accuracy target at 15-minute horizon per specification.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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