- Add reccobeats_id column to Track model for API mapping
- Fix ReccoBeats batch size limit (max 40 IDs per request)
- Extract spotify_id from href field in ReccoBeats responses
- Fix OpenAI API: remove unsupported temperature param, increase max_completion_tokens to 4000
- Add playlist/user management methods to spotify_client for future auto-playlist feature
Major changes:
- Add skip tracking: poll currently-playing every 15s, detect skips (<30s listened)
- Add listening-log and sessions API endpoints
- Fix ReccoBeats client to extract spotify_id from href response
- Compress heatmap from 24 hours to 6 x 4-hour blocks
- Add OpenAI support in narrative service (use max_completion_tokens for new models)
- Add ListeningLog component with timeline and list views
- Update all frontend components to use real data (album art, play counts)
- Add docker-compose external network (dockernet) support
- Add comprehensive documentation (API, DATA_MODEL, ARCHITECTURE, FRONTEND)
- Add unit tests for ingest and API endpoints
- Created FastAPI backend structure.
- Implemented Spotify Recently Played ingestion logic.
- Set up SQLite database with SQLAlchemy models.
- Added AI Service using Google Gemini.
- Created helper scripts for auth and background worker.
- Added Dockerfile and GitHub Actions workflow.
