9c91ba29bf
#913 was silently producing 0 recs: similar_artists.source_artist_id is a SOURCE id (Spotify/etc.), but the scan keyed id->name by internal artists.id (resolved nothing), and the consensus ranker was fed the name-collapsed get_top_similar_artists (consensus could never fire). Fixed + elevated: - id->name keyed by source-id columns; raw per-seed edges (real consensus); similarity_rank threaded into the score; recency-weighted seeds (recent plays boost lifetime favs) - new 'Based On Your Listening' artist row (/api/discover/listening-recommendations) with 'because you listen to X' explanations - new 'Your Listening Mix' track row: each rec's top tracks via a guarded, name-resolved Spotify/Deezer fetch (falls back to the discovery pool), stored as full render dicts so the row can't shrink on pool rotation - pure tested core: similarity_from_rank, build_recency_weighted_seeds, to_mix_track, names_match (+ rank-aware grouping) Fresh Tape (5-10 tracks): future-dated albums sorted to the top of get_discovery_recent_albums and ate the 50-album budget before the is_future_release skip ran. Add exclude_future_years + fetch a generous budget; downstream caps unchanged. Regression tested. Also drop the per-track block 'X' from the compact playlist rows (wrong spot). Plan/audit in DISCOVER_BEST_IN_CLASS_PLAN.md. |
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| .. | ||
| __init__.py | ||
| music_database.py | ||
| personalized_schema.py | ||