refactor(scan): extract scan_chunk from scan_library
scan_chunk resolves album folders whose (artist, album) sorts after a cursor, up to a limit, returning (new_cursor, imported, skipped, done). scan_library becomes the unbounded case (limit=None), so its behavior and tests are unchanged. Idempotent: all writes are ON CONFLICT, so an overlapping/repeated cursor is safe. Enables chunked scanning in the loop. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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+73
-27
@@ -91,16 +91,11 @@ def _record_owned(conn, target, quality_class: int, fmt: str, path: str, watched
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return newly
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def scan_library(conn: psycopg.Connection, resolver, probe: AudioProbe, browser, dest_root: str = "/music") -> ScanResult:
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"""Walk `{dest_root}/{Artist}/{Album}/`, resolve each album against MusicBrainz, and record
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matched albums as have + monitored + followed. Also browses each followed artist's full
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discography (once per scan run) and stores it as unmonitored releases, matching web-follow
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behavior. Unmatched or audio-less folders are skipped."""
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imported = 0
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skipped = 0
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browsed: set[str] = set() # artists whose discography we've populated this run
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def _iter_album_entries(dest_root: str):
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"""Yield (artist_name, album_folder, album_path) for each candidate album directory,
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in the stable nested-sorted order the scan cursor relies on."""
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if not os.path.isdir(dest_root):
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return ScanResult(0, 0)
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return
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for artist_name in sorted(os.listdir(dest_root)):
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artist_path = os.path.join(dest_root, artist_name)
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if artist_name.startswith(".") or not os.path.isdir(artist_path):
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@@ -109,22 +104,73 @@ def scan_library(conn: psycopg.Connection, resolver, probe: AudioProbe, browser,
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album_path = os.path.join(artist_path, album_folder)
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if album_folder.startswith(".") or not os.path.isdir(album_path):
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continue
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audio = _first_audio(album_path)
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if audio is None:
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continue # no audio → not an album
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pr = probe.probe(audio)
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album_name = _parse_album_dir(album_folder)
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target = resolver.resolve(artist_name, album_name) if artist_name and album_name else None
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if target is None: # fall back to the file's embedded tags
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if pr.artist and pr.album and (pr.artist, pr.album) != (artist_name, album_name):
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target = resolver.resolve(pr.artist, pr.album)
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if target is None:
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skipped += 1
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continue
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watched_id = _ensure_artist(conn, target)
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if watched_id is not None and target.artist_mbid not in browsed:
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_populate_discography(conn, browser, watched_id, target.artist_mbid, target.artist)
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browsed.add(target.artist_mbid)
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if _record_owned(conn, target, pr.quality_class, pr.fmt, album_path, watched_id):
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imported += 1
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yield artist_name, album_folder, album_path
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def _cursor_key(artist_name: str, album_folder: str) -> str:
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return f"{artist_name}/{album_folder}"
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def _cursor_tuple(cursor: str) -> tuple[str, str]:
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# A cursor is "<artist>/<album>"; artist and album are single path segments (no "/"),
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# so partitioning on the first "/" recovers them, and tuple order matches the walk.
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artist, _, album = (cursor or "").partition("/")
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return artist, album
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def _process_album(conn, resolver, probe, browser, artist_name, album_folder, album_path, browsed) -> str:
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"""Identify and record one album folder. Returns 'imported' (newly recorded),
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'recorded' (matched but already present), 'skipped' (no MB match) or 'none' (no audio)."""
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audio = _first_audio(album_path)
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if audio is None:
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return "none" # no audio → not an album
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pr = probe.probe(audio)
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album_name = _parse_album_dir(album_folder)
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target = resolver.resolve(artist_name, album_name) if artist_name and album_name else None
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if target is None: # fall back to the file's embedded tags
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if pr.artist and pr.album and (pr.artist, pr.album) != (artist_name, album_name):
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target = resolver.resolve(pr.artist, pr.album)
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if target is None:
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return "skipped"
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watched_id = _ensure_artist(conn, target)
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if watched_id is not None and target.artist_mbid not in browsed:
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_populate_discography(conn, browser, watched_id, target.artist_mbid, target.artist)
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browsed.add(target.artist_mbid)
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return "imported" if _record_owned(conn, target, pr.quality_class, pr.fmt, album_path, watched_id) else "recorded"
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def scan_chunk(conn: psycopg.Connection, resolver, probe: AudioProbe, browser, dest_root: str = "/music",
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cursor: str = "", limit: int | None = None) -> tuple[str, int, int, bool]:
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"""Resolve and record album folders whose (artist, album) sorts after `cursor`, up to
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`limit` of them (unbounded when limit is None). Returns (new_cursor, imported, skipped,
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done); `done` is True when the walk was exhausted within this chunk. All writes are
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ON CONFLICT, so an overlapping or repeated cursor is idempotent."""
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after = _cursor_tuple(cursor)
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imported = skipped = processed = 0
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browsed: set[str] = set() # artists whose discography we've populated this chunk
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new_cursor = cursor
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done = True
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for artist_name, album_folder, album_path in _iter_album_entries(dest_root):
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if (artist_name, album_folder) <= after:
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continue # already processed by an earlier chunk
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if limit is not None and processed >= limit:
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done = False # stopped early; more albums remain after new_cursor
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break
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outcome = _process_album(conn, resolver, probe, browser, artist_name, album_folder, album_path, browsed)
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if outcome == "imported":
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imported += 1
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elif outcome == "skipped":
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skipped += 1
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new_cursor = _cursor_key(artist_name, album_folder)
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processed += 1
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return new_cursor, imported, skipped, done
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def scan_library(conn: psycopg.Connection, resolver, probe: AudioProbe, browser, dest_root: str = "/music") -> ScanResult:
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"""Walk `{dest_root}/{Artist}/{Album}/` in one unbounded pass, resolving each album
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against MusicBrainz and recording matched albums as have + monitored + followed (plus
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each followed artist's full discography as unmonitored releases). Unmatched or audio-less
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folders are skipped. This is `scan_chunk` with no limit; the worker loop uses the chunked
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form so a large library doesn't block job-claim."""
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_cursor, imported, skipped, _done = scan_chunk(conn, resolver, probe, browser, dest_root, cursor="", limit=None)
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return ScanResult(imported, skipped)
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