Add Single/Album Dedup maintenance job to flag redundant singles

Scans library for tracks on singles/EPs that also exist on a full album,
letting users clean up fragmented libraries. Includes version-tag safety
(live, acoustic, remix etc. won't cross-match) and verifies the album
version still exists before removing a single.
This commit is contained in:
Broque Thomas 2026-03-17 15:30:29 -07:00
parent 6bf337423d
commit a31dd9b81e
3 changed files with 342 additions and 0 deletions

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@ -38,6 +38,7 @@ _JOB_MODULES = [
'core.repair_jobs.fake_lossless_detector',
'core.repair_jobs.library_reorganize',
'core.repair_jobs.mbid_mismatch_detector',
'core.repair_jobs.single_album_dedup',
]

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@ -0,0 +1,277 @@
"""Single/Album Deduplicator Job — flags singles that also exist on albums in the library."""
import re
from collections import defaultdict
from difflib import SequenceMatcher
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.single_album_dedup")
@register_job
class SingleAlbumDedupJob(RepairJob):
job_id = 'single_album_dedup'
display_name = 'Single/Album Dedup'
description = 'Finds singles that are redundant because the same track exists on an album'
help_text = (
'Scans your library for tracks that belong to a single or EP release where the '
'same song (by title and artist) also exists on a full album. In most cases, the '
'album version is preferred because it has correct track numbering and keeps your '
'library organized.\n\n'
'Each finding shows the single track and the album track it matches so you can '
'decide whether to remove the single copy.\n\n'
'Fix action: removes the single/EP version from the database and deletes the file, '
'keeping the album version.\n\n'
'Settings:\n'
'- Title Similarity: How closely titles must match (0.0 - 1.0)\n'
'- Artist Similarity: How closely artist names must match (0.0 - 1.0)'
)
icon = 'repair-icon-duplicate'
default_enabled = False
default_interval_hours = 168
default_settings = {
'title_similarity': 0.85,
'artist_similarity': 0.80,
}
auto_fix = False
def scan(self, context: JobContext) -> JobResult:
result = JobResult()
settings = self._get_settings(context)
title_threshold = settings.get('title_similarity', 0.85)
artist_threshold = settings.get('artist_similarity', 0.80)
# Fetch all tracks with album type info
conn = None
try:
conn = context.db._get_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT t.id, t.title, ar.name, al.title, al.album_type, al.total_tracks,
t.file_path, t.bitrate, t.duration, al.thumb_url, ar.thumb_url,
t.track_number
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 t.file_path IS NOT NULL AND t.file_path != ''
""")
tracks = cursor.fetchall()
except Exception as e:
logger.error("Error fetching tracks from DB: %s", e, exc_info=True)
result.errors += 1
return result
finally:
if conn:
conn.close()
if not tracks:
return result
total = len(tracks)
if context.update_progress:
context.update_progress(0, total)
if context.report_progress:
context.report_progress(phase=f'Categorizing {total} tracks...', total=total)
# Separate tracks into singles/EPs and album tracks
singles = []
album_tracks = []
for row in tracks:
(track_id, title, artist_name, album_title, album_type,
total_track_count, file_path, bitrate, duration,
album_thumb, artist_thumb, track_number) = row
entry = {
'id': track_id,
'title': title,
'norm_title': _normalize(title),
'artist': artist_name or '',
'norm_artist': _normalize(artist_name or ''),
'album': album_title or '',
'album_type': (album_type or '').lower(),
'total_tracks': total_track_count or 0,
'file_path': file_path,
'bitrate': bitrate,
'duration': duration,
'track_number': track_number,
'album_thumb_url': album_thumb or None,
'artist_thumb_url': artist_thumb or None,
}
# Classify: single = album_type 'single' or total_tracks <= 3
# EPs (4-6 tracks) are borderline — only flag as "single" if explicitly typed
is_single = (
entry['album_type'] == 'single' or
(entry['album_type'] == 'ep' and entry['total_tracks'] <= 6) or
(entry['album_type'] not in ('album', 'compilation') and entry['total_tracks'] <= 3)
)
if is_single:
singles.append(entry)
elif entry['total_tracks'] > 3:
album_tracks.append(entry)
logger.info("Single/Album dedup: %d singles/EPs, %d album tracks", len(singles), len(album_tracks))
if not singles or not album_tracks:
result.scanned = total
return result
# Bucket album tracks by first 4 chars of normalized title for fast lookup
album_buckets = defaultdict(list)
for at in album_tracks:
key = at['norm_title'][:4] if len(at['norm_title']) >= 4 else at['norm_title']
album_buckets[key].append(at)
# For each single, check if a matching album track exists
flagged_single_ids = set()
if context.report_progress:
context.report_progress(phase=f'Checking {len(singles)} singles against albums...', total=len(singles))
for idx, single in enumerate(singles):
if context.check_stop():
return result
result.scanned += 1
if idx % 100 == 0:
if context.report_progress:
context.report_progress(
scanned=idx, total=len(singles),
phase=f'Checking {idx} / {len(singles)}',
log_line=f'Checking: {single["title"]}{single["artist"]}',
log_type='info'
)
if context.update_progress:
context.update_progress(idx, len(singles))
if single['id'] in flagged_single_ids:
continue
# Look in matching bucket
bucket_key = single['norm_title'][:4] if len(single['norm_title']) >= 4 else single['norm_title']
candidates = album_buckets.get(bucket_key, [])
best_album_match = None
best_sim = 0
single_version = _extract_version_tag(single['title'])
for album_t in candidates:
# Skip if version tags differ (e.g. live single vs studio album)
album_version = _extract_version_tag(album_t['title'])
if single_version != album_version:
continue
# Compare titles
title_sim = SequenceMatcher(None, single['norm_title'], album_t['norm_title']).ratio()
if title_sim < title_threshold:
continue
# Compare artists
artist_sim = SequenceMatcher(None, single['norm_artist'], album_t['norm_artist']).ratio()
if artist_sim < artist_threshold:
continue
combined = (title_sim + artist_sim) / 2
if combined > best_sim:
best_sim = combined
best_album_match = album_t
if best_album_match:
flagged_single_ids.add(single['id'])
if context.report_progress:
context.report_progress(
log_line=f'Redundant single: {single["title"]} — also on "{best_album_match["album"]}"',
log_type='skip'
)
if context.create_finding:
try:
context.create_finding(
job_id=self.job_id,
finding_type='single_album_redundant',
severity='info',
entity_type='track',
entity_id=str(single['id']),
file_path=single['file_path'],
title=f'Redundant single: {single["title"]} by {single["artist"]}',
description=(
f'"{single["title"]}" exists as a {single["album_type"] or "single"} '
f'on "{single["album"]}" but also appears on album '
f'"{best_album_match["album"]}" (track #{best_album_match.get("track_number", "?")})'
),
details={
'single_track': {
'id': single['id'],
'title': single['title'],
'artist': single['artist'],
'album': single['album'],
'album_type': single['album_type'],
'file_path': single['file_path'],
'bitrate': single['bitrate'],
'duration': single['duration'],
},
'album_track': {
'id': best_album_match['id'],
'title': best_album_match['title'],
'artist': best_album_match['artist'],
'album': best_album_match['album'],
'album_type': best_album_match['album_type'],
'file_path': best_album_match['file_path'],
'bitrate': best_album_match['bitrate'],
'duration': best_album_match['duration'],
'track_number': best_album_match.get('track_number'),
},
'album_thumb_url': best_album_match.get('album_thumb_url') or single.get('album_thumb_url'),
'artist_thumb_url': best_album_match.get('artist_thumb_url') or single.get('artist_thumb_url'),
}
)
result.findings_created += 1
except Exception as e:
logger.debug("Error creating finding: %s", e)
result.errors += 1
if context.update_progress:
context.update_progress(len(singles), len(singles))
logger.info("Single/Album dedup: %d singles checked, %d redundant singles found",
result.scanned, result.findings_created)
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
_VERSION_KEYWORDS = re.compile(
r'(live|acoustic|remix|demo|instrumental|radio edit|extended|karaoke|a\s?cappella)',
re.IGNORECASE,
)
def _extract_version_tag(text: str) -> str:
"""Return a lowercase version keyword if the title contains one, else empty string."""
m = _VERSION_KEYWORDS.search(text)
return m.group(1).lower().strip() if m else ''
def _normalize(text: str) -> str:
"""Normalize text for fuzzy comparison."""
t = text.lower()
t = re.sub(r'\(.*?\)', '', t)
t = re.sub(r'\[.*?\]', '', t)
t = re.sub(r'[^a-z0-9 ]', '', t)
return t.strip()

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@ -779,6 +779,7 @@ class RepairWorker:
'missing_cover_art': self._fix_missing_cover_art,
'metadata_gap': self._fix_metadata_gap,
'duplicate_tracks': self._fix_duplicates,
'single_album_redundant': self._fix_single_album_redundant,
'mbid_mismatch': self._fix_mbid_mismatch,
}
handler = handlers.get(finding_type)
@ -995,6 +996,69 @@ class RepairWorker:
msg += f' and {files_deleted} file(s) from disk'
return {'success': True, 'action': 'removed_duplicates', 'message': msg}
def _fix_single_album_redundant(self, entity_type, entity_id, file_path, details):
"""Remove the single/EP version, keeping the album version."""
single_info = details.get('single_track', {})
album_info = details.get('album_track', {})
single_id = single_info.get('id') or entity_id
single_path = single_info.get('file_path') or file_path
if not single_id:
return {'success': False, 'error': 'No single track ID to remove'}
# Verify the album track still exists before removing the single
conn = None
try:
conn = self.db._get_connection()
cursor = conn.cursor()
album_id = album_info.get('id')
if album_id:
cursor.execute("SELECT id FROM tracks WHERE id = ?", (album_id,))
if not cursor.fetchone():
return {'success': False, 'error': 'Album version no longer exists in library — keeping single'}
# Remove single from DB
cursor.execute("DELETE FROM tracks WHERE id = ?", (single_id,))
conn.commit()
removed = cursor.rowcount
finally:
if conn:
conn.close()
if removed == 0:
return {'success': True, 'action': 'already_removed', 'message': 'Single track was already removed'}
# Delete single file from disk
file_deleted = False
if single_path:
download_folder = None
if self._config_manager:
download_folder = self._config_manager.get('soulseek.download_path', '')
try:
resolved = _resolve_file_path(single_path, self.transfer_folder, download_folder)
if resolved and os.path.exists(resolved):
os.remove(resolved)
file_deleted = True
# Clean up empty parent directories
transfer_norm = os.path.normpath(self.transfer_folder)
parent = os.path.dirname(resolved)
for _ in range(3):
if (parent and os.path.isdir(parent)
and os.path.normpath(parent) != transfer_norm
and not os.listdir(parent)):
os.rmdir(parent)
parent = os.path.dirname(parent)
else:
break
except OSError:
pass # Best effort — DB entry already removed
album_name = album_info.get('album', 'unknown album')
msg = f'Removed single, album version on "{album_name}" kept'
if file_deleted:
msg += ' (file deleted)'
return {'success': True, 'action': 'removed_single', 'message': msg}
def _fix_mbid_mismatch(self, entity_type, entity_id, file_path, details):
"""Remove the mismatched MusicBrainz recording ID from the audio file."""
if not file_path: