Wire the incremental pipeline to real sources and expose two workflows. Config (Env.py): three explicit paths — LOCAL_LIBRARY_PATH (scan source), ITUNES_XML_PATH (manual export), DATA_DIR (storage root: DB + Spotify cache). Real, incremental ingesters: - local_scan: walks the library, skips files whose mtime/size are unchanged, prunes deleted ones, and reads embedded ISRC + recording MBID from tags (tagged files get real IDs with no network), via tags.py. - itunes_xml: parse the iTunes Library.xml as a plist; skip if mtime unchanged. - spotify_raw: ingest raw Spotify JSON (ISRC from external_ids); live fetch wrapper for when credentials are set. Workflows (src/workflows.py + main.py): - `fetch` — pull + scan + parse + enrich + match, with readable step logs. First run is slow (full scan + MB lookups); later runs only touch changes (verified: ~71s first, ~0.6s second). - `display` — launch the GUI. Also: enrich uses ISRC-first again (local MBIDs now come from tags), fix --enrich-limit 0, quiet musicbrainzngs XML warnings, ignore /data/. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
79 lines
2.2 KiB
Python
79 lines
2.2 KiB
Python
"""MusicIndexer CLI. Two main workflows plus granular helpers.
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python main.py fetch # do all the work: pull + scan + parse + enrich + match
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python main.py display # open the GUI to see what you're missing
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`fetch` is incremental and DB-backed (see Env.py): the first run is slow
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(initial scan + MusicBrainz lookups), later runs only touch what changed.
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Helpers: `enrich` (resume MBID resolution), `match` (print the summary).
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"""
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import argparse
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import logging
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def _setup_logging():
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logging.basicConfig(level=logging.INFO, format="%(message)s")
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def cmd_fetch(args):
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_setup_logging()
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from src.workflows import run_fetch
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run_fetch(enrich_limit=args.enrich_limit)
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def cmd_display(args):
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from src.workflows import run_display
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run_display()
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def cmd_enrich(args):
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_setup_logging()
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from src.db.database import init_db
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from src.enrich.mbid import resolve_mbids, unresolved_count
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init_db()
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print(f"unresolved before: {unresolved_count(args.source)}")
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print(f"resolved this run: {resolve_mbids(limit=args.limit, source=args.source)}")
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print(f"unresolved after: {unresolved_count(args.source)}")
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def cmd_match(args):
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import json
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from src.match.matcher import summary
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print(json.dumps(summary(), indent=2))
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def build_parser():
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parser = argparse.ArgumentParser(prog="musicindexer", description=__doc__)
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sub = parser.add_subparsers(dest="cmd", required=True)
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fetch = sub.add_parser("fetch", help="incrementally fetch + scan + enrich + match")
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fetch.add_argument("--enrich-limit", type=int, default=None,
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help="cap MBID lookups this run (default: resolve all)")
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sub.add_parser("display", help="open the Streamlit GUI")
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enrich = sub.add_parser("enrich", help="resume MBID resolution only")
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enrich.add_argument("--limit", type=int, default=None)
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enrich.add_argument("--source", choices=["spotify", "itunes", "local"], default=None)
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sub.add_parser("match", help="print present/missing summary")
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return parser
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def main():
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args = build_parser().parse_args()
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{
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"fetch": cmd_fetch,
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"display": cmd_display,
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"enrich": cmd_enrich,
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"match": cmd_match,
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}[args.cmd](args)
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if __name__ == "__main__":
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main()
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