Two bugs kept this job from finding anything useful on a typical library.
1. Wrong Deezer column name. The artists table has a deezer_id column
(per music_database.py:1986), but the job looked for deezer_artist_id
in both _scan_artist (line 132) and _get_library_artists (line 345).
For Deezer-primary users, this meant the Deezer ID never made it into
the source_ids map, so get_artist_discography fell back to artist-
name-only search — slower and less accurate than an ID lookup.
2. Spotify-reported EPs were silently excluded. Spotify lumps EPs and
true singles under album_type='single'. The previous
_should_include_release short-circuited on album_type='single' and
returned the include_singles setting (default False), so 4-6 track
EPs on Spotify-primary libraries never survived the filter — even
though include_eps defaulted to True. Only 7+ track full albums
made it through. This is the main reason users felt the job did
nothing.
Fixes:
- Use the correct deezer_id column name in both reference sites.
- Restructure _should_include_release so only 'album', 'ep', and
'compilation' are trusted outright. Anything else (including
'single' and missing type) falls through to a track-count
disambiguation matching the download pipeline's _get_album_type_display:
1-3 tracks = true single, 4-6 = EP, 7+ = album. A Spotify-returned
'single' with 5 tracks now correctly counts as an EP.
Full suite stays at 263 passed. Ruff clean.
New repair job that scans each artist in the library, fetches their
full discography from metadata sources, and creates findings for any
tracks not already owned. Users review findings and click "Add to
Wishlist" to queue missing tracks for download.
Respects content filters (live/remix/acoustic/instrumental/compilation)
and release type filters (album/EP/single). Opt-in, disabled by default,
runs weekly, processes up to 50 artists per run with rate limiting.
