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feat: migrate to PostgreSQL and enhance playlist curation

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- Migrate database from SQLite to PostgreSQL (100.91.248.114:5433)
- Fix playlist curation to use actual top tracks instead of AI name matching
- Add /playlists/history endpoint for historical playlist viewing
- Add Playlist Archives section to frontend with expandable history
- Add playlist-modify-* scopes to Spotify OAuth for playlist creation
- Rewrite Genius client to use official API (fixes 403 scraping blocks)
- Ensure playlists are created on Spotify before curation attempts
- Add DATABASE.md documentation for PostgreSQL schema
- Add migrations for PlaylistConfig and composition storage
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bnair123
2025-12-30 22:24:56 +04:00
parent 26b4895695
commit 272148c5bf
19 changed files with 1130 additions and 145 deletions
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AGENTS.md
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@@ -5,7 +5,7 @@
## OVERVIEW
Personal music analytics dashboard polling Spotify 24/7. Core stack: Python (FastAPI, SQLAlchemy, SQLite) + React (Vite, Tailwind, AntD). Integrates AI (Gemini) for listening narratives.
Personal music analytics dashboard polling Spotify 24/7. Core stack: Python (FastAPI, SQLAlchemy, PostgreSQL) + React (Vite, Tailwind, AntD). Integrates AI (Gemini) for listening narratives.
## STRUCTURE
@@ -54,7 +54,7 @@ Personal music analytics dashboard polling Spotify 24/7. Core stack: Python (Fas
## CONVENTIONS
- **Single Container Multi-Process**: `backend/entrypoint.sh` starts worker + API (Docker anti-pattern, project-specific).
- **SQLite Persistence**: Production uses SQLite (`music.db`) via Docker volumes.
- **PostgreSQL Persistence**: Production uses PostgreSQL on internal server (100.91.248.114:5433, database: music_db).
- **Deduplication**: Ingestion checks `(track_id, played_at)` unique constraint before insert.
- **Frontend State**: Minimal global state; primarily local component state and API fetching.