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* feat(enrichment): loose MusicBrainz search fallback (find aliased artists)
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>
* feat(enrichment): alias-aware scoring (auto-confirm non-Latin-primary artists)
Builds on the loose-search fallback: that surfaces a recording stored under a
Japanese primary name (大橋純子) via its romanized alias, but the SCORER still
compared the reference ("Junko Ohashi") against the primary only → artist
similarity 0 → below the auto floor, so it could only ever be a manual
candidate, never an auto-fill.
- mb_match: `cand_artist_sim` takes the best similarity over the candidate's
primary name AND its `artist_aliases`; score_candidate + classify use it.
- server: `_mb_artist_aliases(id)` fetches an artist's aliases (one throttled
lookup, process-cached — a one-artist discography costs ONE request) and
`_alias_enrich` attaches them ONLY to promising near-misses (title agrees,
primary artist doesn't) so a normal pass spends zero extra requests. Wired
into both the auto-matcher (_enrich_one) and the manual search proxy.
Verified live: "Junko Ohashi / Telephone Number" → 大橋純子 candidate goes from
score 0.5 (loose-only) to 1.0 (auto-confirmable), ranked #1; "AC/DC / Highway
to Hell" unchanged at 1.0 with no alias lookup.
Stacks on #771 (feat/mb-loose-search-fallback).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* fix(enrichment): keep live exclusion in the loose search fallback
The loose fallback dropped the strict path's -secondarytype:Live filter, so a
studio chart whose strict query missed could fall back to — and, since
score_candidate doesn't penalize live takes, auto-confirm — a live-only
recording. Apply the same live gate to the loose query (skipped only when the
source title is itself a live take).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-authored-by: byrongamatos <xasiklas@gmail.com>
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|---|---|---|
| .. | ||
| acoustid_match.py | ||
| audio.py | ||
| diagnostics_bundle.py | ||
| diagnostics_hardware.py | ||
| diagnostics_redact.py | ||
| drums.py | ||
| env_compat.py | ||
| gp2midi.py | ||
| gp2notation.py | ||
| gp2rs_gpx.py | ||
| gp2rs.py | ||
| gp8_audio_sync.py | ||
| gp_autosync.py | ||
| jsonc.py | ||
| logging_setup.py | ||
| loosefolder.py | ||
| lyrics_transcribe.py | ||
| mb_match.py | ||
| midi_import.py | ||
| notation_lift.py | ||
| notation.py | ||
| progression.py | ||
| safepath.py | ||
| scan_worker.py | ||
| sloppak.py | ||
| song_score.py | ||
| song.py | ||
| songmeta.py | ||
| tailwind_rebuild.py | ||
| tones.py | ||
| tunings.py | ||
| vocal_pitch.py | ||
| wem_decode.py | ||
| xp.py | ||