feat(enrichment): record status/errors and trust high-confidence AcoustID
Two related gaps surfaced from "uploaded a track, nothing changed / no status": - A track could stay stuck on `pending` forever (an unexpected worker error rolled back the run without recording anything), and `failed` carried no reason. Add `tracks.metadata_error` + `tracks.enriched_at` (migration), stamp the outcome in apply_enrichment, add TrackRepository.mark_enrichment_failed, wrap enrich_task to persist crashes as `failed` in a fresh session, and emit a human-readable no-match reason. Expose metadata_error/enriched_at in TrackOut. - The tag-first merge let junk embedded tags (e.g. "Music Track"/"Sound_13958") override even a 0.99-confidence AcoustID match. Add acoustid_trust_score (default 0.85): above it the acoustic identity wins for title/artist/album/ year, tags are fallback; below it, tag-first as before. Add a license-free real-file fixture (Scarlet Fire / Otis McDonald) whose junk tags AcoustID overrides, with an always-on tag-reader test plus fpcalc/AcoustID/ network-gated identity + full-pipeline tests (skip on host, run in the container). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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# Test fixtures
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## `scarlet_fire_otis_mcdonald.mp3`
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"Scarlet Fire" by **Otis McDonald** — a royalty-free / license-free track
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(YouTube Audio Library; distributed via Pro-Sound.org). Used as a real-world
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audio fixture for the enrichment pipeline.
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What makes it a good fixture: its **embedded ID3 tags are junk**
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(`title=Sound_13958`, `artist=Music Track`, `album=Музыка`, `genre=Hip Hop & Rap`)
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while AcoustID identifies it with very high confidence as *Scarlet Fire /
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Otis McDonald*. So it exercises both:
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- the offline tag reader (deterministic, always runs), and
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- the "trust a high-confidence AcoustID match over junk tags" path
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(`acoustid_trust_score`), which only runs when `fpcalc` + an AcoustID API key
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+ network are available — see `tests/test_real_file_enrichment.py`.
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Because it's license-free, it may also seed a built-in demo track for fresh
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instances.
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