Files with embedded tags (artist+title from post-processing) were
failing import because the metadata search scored low (66%) and the
AcoustID result returned before the tag-preference code could run.
- Tag-based identification now returns 85% confidence when embedded
tags have an artist field, borrowing album art from weak metadata
- AcoustID search result only accepted at 80%+ confidence, otherwise
kept as fallback (doesn't short-circuit past tag preference)
- AcoustID None artist/title falls back to tag data via 'or' operator
- Stop retrying failed/unidentified items every scan cycle
Items with status needs_identification, failed, or rejected were not
in the skip list, causing them to be re-scanned and re-logged every
60 seconds indefinitely. Now skips all terminal statuses.
Race condition: scanner re-scanned folders while post-processing was
still moving files, causing partial matches and ghost failures. Now
tracks in-progress paths and skips them on subsequent scans.
Coverage penalty fix: individual tracks that match at 80%+ confidence
now auto-import even when overall album coverage is low (e.g. 2 of 18
tracks present). Previously low coverage killed the entire import.
Import page: stats bar, filter pills, Scan Now, Approve All, Clear
History (clears imported + failed), live scan progress.
- Track numbers defaulted to 1 instead of using metadata source values
- Release dates not captured, causing missing year in path templates
- Cover art missing for Deezer (direct image_url not checked)
- Track names in expanded view showed Unknown (wrong JSON field name)
- Read year/date from embedded file tags as fallback
- Add Deezer get_album_metadata/get_album_tracks fallbacks
- Handle Deezer tracks.data response format
Loose audio files in the staging root are now picked up alongside album
folders. Singles are identified via embedded tags, filename parsing
(Artist - Title.ext), or AcoustID fingerprinting, then matched against
the configured metadata source. Confidence-gated processing applies
the same way as album folders (90%+ auto, 70-90% review, <70% manual).
Full auto-import pipeline: background worker watches the staging folder,
identifies music using embedded tags → folder name parsing → AcoustID
fingerprinting, matches files to metadata source tracklists, and
processes high-confidence matches through the existing post-processing
pipeline automatically.
Worker: AutoImportWorker with start/stop/pause/resume, configurable
scan interval (default 60s), confidence threshold (default 90%), and
auto-process toggle. Processes one folder per cycle, alphabetical
order. Disc folder detection, stability checking, content hash dedup.
Confidence gate: 90%+ auto-processes silently, 70-90% queued as
pending review with approve/dismiss actions, <70% flagged for manual
identification. Track matching uses weighted algorithm (title 45%,
artist 15%, track number 30%, album tag 10%).
Database: auto_import_history table tracks every scan result with
folder hash, match data JSON, confidence, status, timestamps.
API: 7 endpoints — status, toggle, settings (GET/POST), results
(filtered/paginated), approve, reject.
UI: Auto tab on Import page with enable toggle, confidence slider,
scan interval selector. Live result cards with album art, confidence
bar (green/yellow/red), status badges, match stats. 5-second polling.
Broque Thomas