soulsync/core/repair_jobs/metadata_gap_filler.py
Broque Thomas cf5461f2f1 Fix: maintenance findings badge inflated when scan dedup-skipped
`_create_finding` silently dedup-skipped re-discovered issues but
the caller incremented `findings_created` regardless. So a re-scan
that found the same issues as a prior scan reported 364 findings
in the badge while 0 NEW pending rows hit the db, leaving the
findings tab empty.

`_create_finding` now returns bool (True on insert, False on
dedup-skip / db error). All 16 repair jobs updated to only
increment `findings_created` on True. Added `findings_skipped_dedup`
counter surfaced in scan log: "Done: X scanned, 0 fixed, 0
findings (363 already existed), 0 errors".

Also fixed a missing `job_id` kwarg in album_tag_consistency that
was silently breaking finding creation for that scan.
2026-05-04 08:55:13 -07:00

300 lines
12 KiB
Python

"""Metadata Gap Filler Job — finds tracks missing key metadata and locates it from APIs."""
from core.metadata_service import get_client_for_source, get_primary_source, get_source_priority
from core.repair_jobs import register_job
from core.repair_jobs.base import JobContext, JobResult, RepairJob
from utils.logging_config import get_logger
logger = get_logger("repair_job.metadata_gap")
@register_job
class MetadataGapFillerJob(RepairJob):
job_id = 'metadata_gap_filler'
display_name = 'Metadata Gap Filler'
description = 'Finds tracks missing ISRC or MusicBrainz IDs and locates them'
help_text = (
'Searches for tracks in your library that are missing important metadata identifiers: '
'ISRC codes and MusicBrainz recording IDs. These identifiers are used for accurate '
'matching, scrobbling, and enrichment.\n\n'
'For each track with gaps, the job queries MusicBrainz by title and artist to find '
'the correct IDs. Results are reported as findings for your review.\n\n'
'Settings:\n'
'- Fill ISRC: Look up missing ISRC codes\n'
'- Fill MusicBrainz ID: Look up missing MusicBrainz recording IDs'
)
icon = 'repair-icon-metadata'
default_enabled = False
default_interval_hours = 72
default_settings = {
'fill_isrc': True,
'fill_musicbrainz_id': True,
}
auto_fix = False
def scan(self, context: JobContext) -> JobResult:
result = JobResult()
settings = self._get_settings(context)
fill_isrc = settings.get('fill_isrc', True)
fill_mb_id = settings.get('fill_musicbrainz_id', True)
source_priority = get_source_priority(get_primary_source())
# Build WHERE clauses for missing fields (only columns that exist on tracks)
conditions = []
if fill_isrc:
conditions.append("(t.isrc IS NULL OR t.isrc = '')")
if fill_mb_id:
conditions.append("(t.musicbrainz_recording_id IS NULL OR t.musicbrainz_recording_id = '')")
if not conditions:
return result
where = " OR ".join(conditions)
# Fetch tracks with gaps, prioritizing those with source track IDs.
tracks = []
conn = None
try:
conn = context.db._get_connection()
cursor = conn.cursor()
cursor.execute("PRAGMA table_info(tracks)")
track_columns = {column[1] for column in cursor.fetchall()}
select_cols = [
"t.id",
"t.title",
"ar.name",
"al.title",
"t.isrc",
"t.musicbrainz_recording_id",
"al.thumb_url",
"ar.thumb_url",
]
column_map = [
("spotify_track_id", "t.spotify_track_id"),
("itunes_track_id", "t.itunes_track_id"),
("deezer_track_id", "t.deezer_track_id"),
]
column_index = {}
for alias, column in column_map:
if column.split('.', 1)[1] in track_columns:
column_index[alias] = len(select_cols)
select_cols.append(f"{column} AS {alias}")
cursor.execute(f"""
SELECT {', '.join(select_cols)}
FROM tracks t
LEFT JOIN artists ar ON ar.id = t.artist_id
LEFT JOIN albums al ON al.id = t.album_id
WHERE t.title IS NOT NULL AND t.title != ''
AND ({where})
LIMIT 500
""")
tracks = cursor.fetchall()
tracks = sorted(tracks, key=lambda row: _track_row_priority(row, column_index, source_priority))
except Exception as e:
logger.error("Error fetching tracks with metadata gaps: %s", e, exc_info=True)
result.errors += 1
return result
finally:
if conn:
conn.close()
total = len(tracks)
if context.update_progress:
context.update_progress(0, total)
logger.info("Found %d tracks with metadata gaps", total)
if context.report_progress:
context.report_progress(phase=f'Enriching {total} tracks...', total=total)
for i, row in enumerate(tracks):
if context.check_stop():
return result
if i % 20 == 0 and context.wait_if_paused():
return result
track_id, title, artist_name, album_title, isrc, mb_id, album_thumb, artist_thumb = row[:8]
source_track_ids = {
'spotify': row[column_index['spotify_track_id']] if 'spotify_track_id' in column_index else None,
'itunes': row[column_index['itunes_track_id']] if 'itunes_track_id' in column_index else None,
'deezer': row[column_index['deezer_track_id']] if 'deezer_track_id' in column_index else None,
}
result.scanned += 1
if context.report_progress:
context.report_progress(
scanned=i + 1, total=total,
phase=f'Enriching {i + 1} / {total}',
log_line=f'Looking up: {title or "Unknown"}{artist_name or "Unknown"}',
log_type='info'
)
found_fields = {}
resolved_source = None
resolved_track_id = None
# Try source-aware track detail lookups only when ISRC enrichment is enabled.
if fill_isrc and not isrc:
for source in source_priority:
track_source_id = source_track_ids.get(source)
if not track_source_id:
continue
try:
client = get_client_for_source(source)
if not client or not hasattr(client, 'get_track_details'):
continue
track_data = client.get_track_details(track_source_id)
if track_data:
isrc_value = _extract_isrc(track_data)
if isrc_value:
found_fields['isrc'] = isrc_value
resolved_source = source
resolved_track_id = track_source_id
break
except Exception as e:
logger.debug("%s enrichment failed for track %s: %s", source.capitalize(), track_id, e)
# Try MusicBrainz for MB recording ID
if fill_mb_id and not mb_id and context.mb_client:
try:
recordings = context.mb_client.search_recording(
title, artist_name=artist_name, limit=1
)
if recordings:
found_fields['musicbrainz_recording_id'] = recordings[0].get('id', '')
except Exception as e:
logger.debug("MusicBrainz lookup failed for track %s: %s", track_id, e)
# Create finding for user to review instead of auto-writing
if found_fields:
if context.report_progress:
context.report_progress(
log_line=f'Found: {", ".join(found_fields.keys())} for {title or "Unknown"}',
log_type='success'
)
if context.create_finding:
try:
field_names = ', '.join(found_fields.keys())
inserted = context.create_finding(
job_id=self.job_id,
finding_type='metadata_gap',
severity='info',
entity_type='track',
entity_id=str(track_id),
file_path=None,
title=f'Missing metadata: {title or "Unknown"}',
description=(
f'Track "{title}" by {artist_name or "Unknown"} is missing: {field_names}. '
f'Found values from API lookup.'
),
details={
'track_id': track_id,
'title': title,
'artist': artist_name,
'album': album_title,
'track_ids': source_track_ids,
'resolved_source': resolved_source,
'resolved_track_id': resolved_track_id,
'found_fields': found_fields,
'album_thumb_url': album_thumb or None,
'artist_thumb_url': artist_thumb or None,
}
)
if inserted:
result.findings_created += 1
else:
result.findings_skipped_dedup += 1
except Exception as e:
logger.debug("Error creating metadata gap finding for track %s: %s", track_id, e)
result.errors += 1
else:
result.skipped += 1
# Rate limit API calls
if fill_isrc and any(source_track_ids.values()):
if context.sleep_or_stop(0.5):
return result
if context.update_progress and (i + 1) % 10 == 0:
context.update_progress(i + 1, total)
if context.update_progress:
context.update_progress(total, total)
logger.info("Metadata gap scan: %d tracks checked, %d gaps found, %d skipped",
result.scanned, result.findings_created, result.skipped)
return result
def _get_settings(self, context: JobContext) -> dict:
if not context.config_manager:
return self.default_settings.copy()
cfg = context.config_manager.get(f'repair.jobs.{self.job_id}.settings', {})
merged = self.default_settings.copy()
merged.update(cfg)
return merged
def estimate_scope(self, context: JobContext) -> int:
conn = None
try:
conn = context.db._get_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT COUNT(*) FROM tracks
WHERE title IS NOT NULL AND title != ''
AND ((isrc IS NULL OR isrc = '')
OR (musicbrainz_recording_id IS NULL OR musicbrainz_recording_id = ''))
""")
row = cursor.fetchone()
return min(row[0], 500) if row else 0
except Exception:
return 0
finally:
if conn:
conn.close()
def _extract_isrc(track_data):
"""Extract ISRC from a track detail payload."""
if not track_data or not isinstance(track_data, dict):
return None
external_ids = track_data.get('external_ids')
if isinstance(external_ids, dict):
isrc = external_ids.get('isrc')
if isrc:
return isrc
isrc = track_data.get('isrc')
if isrc:
return isrc
raw_data = track_data.get('raw_data')
if isinstance(raw_data, dict):
external_ids = raw_data.get('external_ids')
if isinstance(external_ids, dict) and external_ids.get('isrc'):
return external_ids['isrc']
if raw_data.get('isrc'):
return raw_data['isrc']
return None
def _track_row_priority(row, column_index, source_priority):
"""Sort rows by the first source track ID available in priority order."""
source_columns = {
'spotify': 'spotify_track_id',
'itunes': 'itunes_track_id',
'deezer': 'deezer_track_id',
}
for idx, source in enumerate(source_priority):
column_name = source_columns.get(source)
if not column_name:
continue
column_pos = column_index.get(column_name)
if column_pos is not None and row[column_pos]:
return idx
return len(source_priority)