Personal music recommendation service. Captures listening history from Music Assistant, discovers similar tracks via Last.fm, embeds audio with CLAP, and generates playlists.
## Quick Start
```bash
# On NAS
cd /volume1/homes/antialias/projects/haunt-fm
docker compose up -d
docker compose exec haunt-fm alembic upgrade head
```
## Architecture
- **FastAPI** app with async SQLAlchemy + asyncpg
- **PostgreSQL + pgvector** for tracks, embeddings, and vector similarity search
- **CLAP model** (laion/larger_clap_music) for 512-dim audio embeddings
- **Last.fm API** for track similarity discovery
- **iTunes Search API** for 30-second audio previews
- **Music Assistant** (via Home Assistant REST API) for playback
## Key Commands
```bash
# Health check
curl http://192.168.86.51:8321/health
# Log a listen event
curl -X POST http://192.168.86.51:8321/api/history/webhook \
-H "Content-Type: application/json" \
-d '{"title":"Song","artist":"Artist"}'
# Run discovery
curl -X POST http://192.168.86.51:8321/api/admin/discover -H "Content-Type: application/json" -d '{}'