Files
haunt-fm/CLAUDE.md

55 lines
1.7 KiB
Markdown
Raw Normal View History

# haunt-fm
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 '{}'
# Get recommendations
curl http://192.168.86.51:8321/api/recommendations?limit=20
# Generate and play a playlist
curl -X POST http://192.168.86.51:8321/api/playlists/generate \
-H "Content-Type: application/json" \
-d '{"total_tracks":20,"known_pct":30,"speaker_entity":"media_player.living_room_speaker_2","auto_play":true}'
```
## Environment Variables
All prefixed with `HAUNTFM_`. See `.env.example` for full list.
## Database
- Alembic migrations in `alembic/versions/`
- Run migrations: `alembic upgrade head`
- Schema: tracks, listen_events, track_embeddings, similarity_links, taste_profiles, playlists, playlist_tracks