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Generic movie titles ("Monster Tits", "Pirates") map to many different TPDB
films with identical titles (different studios/casts, all title-score 1.0). The
old matcher searched per_page=10 and ranked by title only, so for a generic title
the correct film was often not even in the top 10, and among same-title
candidates it picked arbitrarily. Result: a ~95% no_match rate and silent
misattribution (e.g. "Monster Tits" by Venom Digital Media would get Galaxy
Productions' TPDB entry).
_best_match now:
- searches per_page=40 (the right film for a generic title is often past top 10),
- ranks title-gate survivors by a composite of title + studio similarity +
performer overlap (our studio/cast from the primary source disambiguate which
same-title film it is),
- guards against misattribution: if we have a studio/cast signal and there is
more than one near-identical-title candidate but the winner shares neither
studio nor cast, return no_match instead of attaching a wrong same-title film.
Verified on prod data: a no_match-with-studio sample now matches 18/18 with the
correct studio (fixing Galaxy to Venom, Exquisite to Rodney Moore, and a no_match
to Cherry Boxxx), and an already-enriched sample keeps 16/18 identical picks with
the 2 differences being the same studio (benign TPDB duplicate). No wrong-studio
regressions observed.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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| .. | ||
| api | ||
| connectors | ||
| enrich | ||
| extractors | ||
| models | ||
| normalize | ||
| resolve | ||
| scheduler | ||
| templates | ||
| __init__.py | ||
| auth.py | ||
| config.py | ||
| db.py | ||
| ingest.py | ||
| main.py | ||