The Fix Track Match modal's auto-search was hardcoded to query only
Spotify -> Deezer -> iTunes, ignoring MusicBrainz entirely — even for
users with MB set as their primary metadata source. MB-niche recordings
(canonical entries with diacritics, fringe / non-mainstream tracks that
the commercial catalogues don't carry) had no chance.
Wiring:
- New `MusicBrainzSearchClient.search_tracks_with_artist(track, artist,
limit)` for surfaces that already have title + artist split. Uses MB's
bare-query mode (strict=False) — diacritic-folded, alias/sortname
indexed — same recall rationale as the earlier MBID-paste endpoint.
- New route `GET /api/musicbrainz/search_tracks` mirrors the existing
/api/{spotify,itunes,deezer}/search_tracks endpoints exactly: accepts
`track`+`artist` (or legacy `query`) + `limit`, returns
`{tracks: [{id, name, artists, album, duration_ms, image_url, source}]}`.
Applies the same `core.metadata.relevance.rerank_tracks` pass Deezer /
iTunes use, which is critical because MB's free-text scoring weighs
title-text matches heavily and would otherwise rank cover / tribute
recordings above the canonical version.
- `_search_tracks_text` gains a `min_score` parameter. The cascade path
passes 20 (vs the enhanced-search-tab default of 80) so MB recordings
whose title doesn't literally contain the artist name still enter the
candidate pool — without that, "Army of Me" + "Bjork" only surfaces
the HIRS Collective cover (score 100) and drops Björk's canonical
recording (score 28). The rerank pass then surfaces Björk by artist
match. Verified against real MB API: pre-fix returned only the cover;
post-fix top 5 are all Björk.
- Fix popup `allSources` array (wishlist-tools.js) gets MB appended.
The existing `activeIdx` reorder logic moves MB to the front when
it's the active primary; otherwise MB sits last (1 req/sec rate
limit makes it the slowest source).
7 new unit tests on the adapter: bare-query mode is used, missing
artist falls back to None (drops AND-clause), empty inputs short-circuit,
low-score candidates are kept for rerank to handle, default strict +
default min_score behaviour preserved for the existing search-tab path,
client errors are swallowed so the cascade falls through to the next
source.
Discogs intentionally absent — Discogs has no track-level search API
(see core/discogs_client.py:575 — returns []). Adding a Flask endpoint
that always returns empty would be a permanent no-op.
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