The stored similar_artists rows key the similar artist by the SEED's source/db id, not its name,
so rank_recommended_artists can't consume them directly. group_similars_by_seed resolves each
row's source id to a seed name via a caller-supplied id_to_name map and reshapes to the
{seed_name: [{'name': similar}]} the ranker wants — the fragile id->name join, now pure + tested
(dataclass + dict rows, unknown-id drop, non-seed drop, group->rank end-to-end). 15 tests total.
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|---|---|---|
| .. | ||
| __init__.py | ||
| beatport.py | ||
| deezer.py | ||
| endpoints.py | ||
| hero.py | ||
| listenbrainz.py | ||
| listening_recommendations.py | ||
| manual_match.py | ||
| matching.py | ||
| playlist.py | ||
| qobuz.py | ||
| quality_scanner.py | ||
| scoring.py | ||
| spotify_public.py | ||
| sync.py | ||
| tidal.py | ||
| youtube.py | ||