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The MB text search used a strict field-phrase query
(`recording:"<title>" AND artist:"<artist>"`). A field phrase only matches
MusicBrainz's *primary* artist/title — it never searches ALIASES — so a
recording stored under a non-Latin primary name (大橋純子) whose romanized
form ("Junko Ohashi") is only an alias returns ZERO results, even though MB
has it. Whole swaths of a community library (e.g. romanized J-pop / city-pop
charts) were unsearchable.
- `build_recording_query(..., loose=True)` drops the field scoping + phrases
for plain AND-ed term groups (`(telephone number) AND (junko ohashi)`),
which searches the whole document incl. aliases.
- `_mb_search_recordings` runs the strict query first (unchanged, high
precision) and only on an EMPTY result retries once with the loose query —
so mainstream matches are untouched and the extra throttled request is spent
only on a miss. Results are re-scored by rank_candidates, so recall goes up
without lowering match quality (auto-accept still needs the per-field floors).
Verified live: "Junko Ohashi / Telephone Number" and "Anri / Windy Summer"
(both 0 under the strict query) now surface the real records; "AC/DC /
Highway to Hell" still hits strict at score 1.0 with no loose retry.
Follow-up (separate): alias-aware SCORING so these can auto-confirm, not just
appear as manual candidates.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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| server.py | ||
| SUPPORTERS.md | ||
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