0e64d439c4
Replace the JSON-file pipeline with a SQLite/SQLAlchemy store (Postgres via DATABASE_URL) and an incremental, ID-based matcher whose goal is "which Spotify/iTunes tracks am I missing locally". - src/db: models (Track/MbCache/FileState/IngestState) + engine/session. - src/ingest: upsert prefetched spotify/itunes/local (work_dir/latest-1) by (source, source_id); pulls ISRC from raw Spotify; preserves enrichment. - src/enrich: MusicBrainz recording-MBID resolver. Resolves via NORMALIZED text search (so the same song across sources lands on one MBID + one cached lookup), ISRC as exact fallback. Only touches unresolved tracks, caches positive AND negative results, rate-limited and resumable. - src/match: normalization + cross-source matcher with tiers ISRC > MBID > normalized text; reports present/missing and the match method. - main.py: CLI (ingest / enrich / match). Gui.py: missing-tracks viewer. - README + requirements (SQLAlchemy, musicbrainzngs); ignore *.db. Incremental everywhere: re-running updates only what changed; enrich continues where it stopped. Live Spotify/local backends are left intact. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
25 lines
1.1 KiB
Python
25 lines
1.1 KiB
Python
import os
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from pathlib import Path
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# Local config. Paths can be overridden via environment variables.
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local_library_path = Path(os.environ.get("MUSIC_LIBRARY_PATH", "~/Music")).expanduser()
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work_dir = Path(os.environ.get("WORK_DIR", "./work_dir/new"))
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# Spotify app credentials. NEVER hardcode these here — set them in the
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# environment (see .env.example) so they don't end up in version control.
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# export SPOTIFY_CLIENT_ID=...
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# export SPOTIFY_CLIENT_SECRET=...
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client_id = os.environ.get("SPOTIFY_CLIENT_ID")
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client_secret = os.environ.get("SPOTIFY_CLIENT_SECRET")
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# Persistent store. Defaults to a local SQLite file; point DATABASE_URL at a
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# Postgres instance (postgresql+psycopg://user:pass@host/db) to switch with no
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# code changes.
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database_url = os.environ.get("DATABASE_URL", "sqlite:///./musicindexer.db")
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# Folder of prefetched JSON used to (re)build the DB without hitting the network.
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prefetched_dir = Path(os.environ.get("PREFETCHED_DIR", "./work_dir/latest-1"))
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# Contact email sent to MusicBrainz in the User-Agent (be a good API citizen).
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mb_contact = os.environ.get("MB_CONTACT", "music-indexer@example.com")
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