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soulsync/database/music_database.py

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#!/usr/bin/env python3
import sqlite3
import json
import logging
import os
import re
import threading
import time
from datetime import datetime
from typing import List, Optional, Dict, Any, Tuple
from dataclasses import dataclass
from pathlib import Path
from utils.logging_config import get_logger
logger = get_logger("music_database")
# Import matching engine for enhanced similarity logic
try:
from core.matching_engine import MusicMatchingEngine
_matching_engine = MusicMatchingEngine()
except ImportError:
logger.warning("Could not import MusicMatchingEngine, falling back to basic similarity")
_matching_engine = None
# Temporarily enable debug logging for edition matching
logger.setLevel(logging.DEBUG)
@dataclass
class DatabaseArtist:
id: int
name: str
thumb_url: Optional[str] = None
genres: Optional[List[str]] = None
summary: Optional[str] = None
created_at: Optional[datetime] = None
updated_at: Optional[datetime] = None
@dataclass
class DatabaseAlbum:
id: int
artist_id: int
title: str
year: Optional[int] = None
thumb_url: Optional[str] = None
genres: Optional[List[str]] = None
track_count: Optional[int] = None
duration: Optional[int] = None
created_at: Optional[datetime] = None
updated_at: Optional[datetime] = None
@dataclass
class DatabaseTrack:
id: int
album_id: int
artist_id: int
title: str
track_number: Optional[int] = None
duration: Optional[int] = None
file_path: Optional[str] = None
bitrate: Optional[int] = None
created_at: Optional[datetime] = None
updated_at: Optional[datetime] = None
@dataclass
class DatabaseTrackWithMetadata:
"""Track with joined artist and album names for metadata comparison"""
id: int
album_id: int
artist_id: int
title: str
artist_name: str
album_title: str
track_number: Optional[int] = None
duration: Optional[int] = None
created_at: Optional[datetime] = None
updated_at: Optional[datetime] = None
@dataclass
class WatchlistArtist:
"""Artist being monitored for new releases"""
id: int
spotify_artist_id: Optional[str] # Can be None if added via iTunes
artist_name: str
date_added: datetime
last_scan_timestamp: Optional[datetime] = None
created_at: Optional[datetime] = None
updated_at: Optional[datetime] = None
image_url: Optional[str] = None
itunes_artist_id: Optional[str] = None # Cross-provider support
deezer_artist_id: Optional[str] = None # Cross-provider support
include_albums: bool = True
include_eps: bool = True
include_singles: bool = True
include_live: bool = False
include_remixes: bool = False
include_acoustic: bool = False
include_compilations: bool = False
include_instrumentals: bool = False
profile_id: int = 1
@dataclass
class SimilarArtist:
"""Similar artist recommendation from Spotify/iTunes/Deezer"""
id: int
source_artist_id: str # Watchlist artist's database ID
similar_artist_spotify_id: Optional[str] # Spotify artist ID (may be None if iTunes-only)
similar_artist_itunes_id: Optional[str] # iTunes artist ID (may be None if Spotify-only)
similar_artist_name: str
similarity_rank: int # 1-10, where 1 is most similar
occurrence_count: int # How many watchlist artists share this similar artist
last_updated: datetime
image_url: Optional[str] = None # Cached artist image
genres: Optional[List[str]] = None # Cached genres
popularity: int = 0 # Cached popularity score
similar_artist_deezer_id: Optional[str] = None # Deezer artist ID
@dataclass
class DiscoveryTrack:
"""Track in the discovery pool for recommendations"""
id: int
spotify_track_id: Optional[str] # Spotify track ID (None if iTunes source)
spotify_album_id: Optional[str] # Spotify album ID (None if iTunes source)
spotify_artist_id: Optional[str] # Spotify artist ID (None if iTunes source)
itunes_track_id: Optional[str] # iTunes track ID (None if Spotify source)
itunes_album_id: Optional[str] # iTunes album ID (None if Spotify source)
itunes_artist_id: Optional[str] # iTunes artist ID (None if Spotify source)
deezer_track_id: Optional[str] # Deezer track ID (None if non-Deezer source)
deezer_album_id: Optional[str] # Deezer album ID (None if non-Deezer source)
deezer_artist_id: Optional[str] # Deezer artist ID (None if non-Deezer source)
source: str # 'spotify', 'itunes', or 'deezer'
track_name: str
artist_name: str
album_name: str
album_cover_url: Optional[str]
duration_ms: int
popularity: int
release_date: str
is_new_release: bool # Released within last 30 days
track_data_json: str # Full track object for modal (Spotify or iTunes format)
added_date: datetime
@dataclass
class RecentRelease:
"""Recent album release from watchlist artist"""
id: int
watchlist_artist_id: int
album_spotify_id: Optional[str] # Spotify album ID (None if iTunes source)
album_itunes_id: Optional[str] # iTunes album ID (None if Spotify source)
album_deezer_id: Optional[str] # Deezer album ID (None if non-Deezer source)
source: str # 'spotify', 'itunes', or 'deezer'
album_name: str
release_date: str
album_cover_url: Optional[str]
track_count: int
added_date: datetime
class MusicDatabase:
"""SQLite database manager for SoulSync music library data"""
def __init__(self, database_path: str = None):
import os
# Use env var if path is None OR if it's the default path
# This ensures Docker containers use the correct mounted volume location
if database_path is None or database_path == "database/music_library.db":
database_path = os.environ.get('DATABASE_PATH', 'database/music_library.db')
self.database_path = Path(database_path)
self.database_path.parent.mkdir(parents=True, exist_ok=True)
# Initialize database
self._initialize_database()
def _get_connection(self) -> sqlite3.Connection:
"""Get a NEW database connection for each operation (thread-safe)"""
connection = sqlite3.connect(str(self.database_path), timeout=30.0)
connection.row_factory = sqlite3.Row
# Register Unicode-normalizing function for diacritics-aware LIKE queries
try:
from unidecode import unidecode as _ud
connection.create_function("unidecode_lower", 1, lambda x: _ud(x).lower() if x else "")
except ImportError:
connection.create_function("unidecode_lower", 1, lambda x: x.lower() if x else "")
# Enable foreign key constraints and WAL mode for better concurrency
connection.execute("PRAGMA foreign_keys = ON")
connection.execute("PRAGMA journal_mode = WAL")
connection.execute("PRAGMA busy_timeout = 30000") # 30 second timeout
return connection
def _initialize_database(self):
"""Create database tables if they don't exist"""
try:
conn = self._get_connection()
cursor = conn.cursor()
# Artists table
cursor.execute("""
CREATE TABLE IF NOT EXISTS artists (
id INTEGER PRIMARY KEY,
name TEXT NOT NULL,
thumb_url TEXT,
genres TEXT, -- JSON array
summary TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
# Albums table
cursor.execute("""
CREATE TABLE IF NOT EXISTS albums (
id INTEGER PRIMARY KEY,
artist_id INTEGER NOT NULL,
title TEXT NOT NULL,
year INTEGER,
thumb_url TEXT,
genres TEXT, -- JSON array
track_count INTEGER,
duration INTEGER, -- milliseconds
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE CASCADE
)
""")
# Tracks table
cursor.execute("""
CREATE TABLE IF NOT EXISTS tracks (
id INTEGER PRIMARY KEY,
album_id INTEGER NOT NULL,
artist_id INTEGER NOT NULL,
title TEXT NOT NULL,
track_number INTEGER,
duration INTEGER, -- milliseconds
file_path TEXT,
bitrate INTEGER,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (album_id) REFERENCES albums (id) ON DELETE CASCADE,
FOREIGN KEY (artist_id) REFERENCES artists (id) ON DELETE CASCADE
)
""")
# Metadata table for storing system information like last refresh dates
cursor.execute("""
CREATE TABLE IF NOT EXISTS metadata (
key TEXT PRIMARY KEY,
value TEXT,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
# Wishlist table for storing failed download tracks for retry
cursor.execute("""
CREATE TABLE IF NOT EXISTS wishlist_tracks (
id INTEGER PRIMARY KEY AUTOINCREMENT,
spotify_track_id TEXT UNIQUE NOT NULL,
spotify_data TEXT NOT NULL, -- JSON of full Spotify track data
failure_reason TEXT,
retry_count INTEGER DEFAULT 0,
last_attempted TIMESTAMP,
date_added TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
source_type TEXT DEFAULT 'unknown', -- 'playlist', 'album', 'manual'
source_info TEXT -- JSON of source context (playlist name, album info, etc.)
)
""")
# Watchlist table for storing artists to monitor for new releases
cursor.execute("""
CREATE TABLE IF NOT EXISTS watchlist_artists (
id INTEGER PRIMARY KEY AUTOINCREMENT,
spotify_artist_id TEXT UNIQUE,
artist_name TEXT NOT NULL,
date_added TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
last_scan_timestamp TIMESTAMP,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
# Create indexes for performance
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_artist_id ON albums (artist_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_album_id ON tracks (album_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_artist_id ON tracks (artist_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_wishlist_spotify_id ON wishlist_tracks (spotify_track_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_watchlist_spotify_id ON watchlist_artists (spotify_artist_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_wishlist_date_added ON wishlist_tracks (date_added)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_name ON artists (name)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_title ON albums (title)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_title ON tracks (title)")
# Add server_source columns for multi-server support (migration)
self._add_server_source_columns(cursor)
# Migrate ID columns to support both integer (Plex) and string (Jellyfin) IDs
self._migrate_id_columns_to_text(cursor)
# Add discovery feature tables (migration)
self._add_discovery_tables(cursor)
# Add image_url column to watchlist_artists (migration)
self._add_watchlist_artist_image_column(cursor)
# Add album type filter columns to watchlist_artists (migration)
self._add_watchlist_album_type_filters(cursor)
# Add content type filter columns to watchlist_artists (migration)
self._add_watchlist_content_type_filters(cursor)
# Add iTunes artist ID column to watchlist_artists (migration)
self._add_watchlist_itunes_id_column(cursor)
# Make spotify_artist_id nullable for iTunes-only artists (migration)
self._fix_watchlist_spotify_id_nullable(cursor)
# Add MusicBrainz columns to library tables (migration)
self._add_musicbrainz_columns(cursor)
# Add external ID columns (Spotify/iTunes) to library tables (migration)
self._add_external_id_columns(cursor)
# Add AudioDB columns to artists table (migration)
self._add_audiodb_columns(cursor)
# Add Deezer columns to library tables (migration)
self._add_deezer_columns(cursor)
# Add Spotify/iTunes enrichment tracking columns (migration)
self._add_spotify_itunes_enrichment_columns(cursor)
# Add Last.fm and Genius enrichment columns (migration)
self._add_lastfm_genius_columns(cursor)
# Add Tidal and Qobuz enrichment columns (migration)
self._add_tidal_qobuz_enrichment_columns(cursor)
# Bubble snapshots table for persisting UI state across page refreshes
cursor.execute("""
CREATE TABLE IF NOT EXISTS bubble_snapshots (
type TEXT PRIMARY KEY,
data TEXT NOT NULL,
timestamp TEXT NOT NULL,
snapshot_id TEXT NOT NULL
)
""")
# Add last_featured column to similar_artists for hero cycling (migration)
self._add_similar_artists_last_featured_column(cursor)
# Retag tool tables for tracking processed downloads (migration)
self._add_retag_tables(cursor)
# Multi-profile support (migration)
self._add_profile_support(cursor)
self._add_profile_support_v2(cursor)
self._add_profile_support_v3(cursor)
self._add_profile_support_v4(cursor)
self._add_profile_settings(cursor)
self._add_profile_listenbrainz_support(cursor)
self._add_profile_service_credentials(cursor)
self._add_soul_id_columns(cursor)
self._add_listening_history_table(cursor)
# Spotify library cache
self._add_spotify_library_cache_table(cursor)
# Universal metadata cache (Spotify + iTunes API responses)
self._add_metadata_cache_tables(cursor)
# Repair worker v2 tables (findings + job runs)
self._add_repair_worker_tables(cursor)
# Mirrored playlists — persistent backup of parsed playlists from any service
cursor.execute("""
CREATE TABLE IF NOT EXISTS mirrored_playlists (
id INTEGER PRIMARY KEY AUTOINCREMENT,
source TEXT NOT NULL,
source_playlist_id TEXT NOT NULL,
name TEXT NOT NULL,
description TEXT,
owner TEXT,
image_url TEXT,
track_count INTEGER DEFAULT 0,
profile_id INTEGER DEFAULT 1,
mirrored_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
UNIQUE(source, source_playlist_id, profile_id)
)
""")
cursor.execute("""
CREATE TABLE IF NOT EXISTS mirrored_playlist_tracks (
id INTEGER PRIMARY KEY AUTOINCREMENT,
playlist_id INTEGER NOT NULL,
position INTEGER NOT NULL,
track_name TEXT NOT NULL,
artist_name TEXT NOT NULL,
album_name TEXT DEFAULT '',
duration_ms INTEGER DEFAULT 0,
image_url TEXT,
source_track_id TEXT,
extra_data TEXT,
FOREIGN KEY (playlist_id) REFERENCES mirrored_playlists(id) ON DELETE CASCADE,
UNIQUE(playlist_id, position)
)
""")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_mirrored_playlists_profile ON mirrored_playlists (profile_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_mirrored_playlists_source ON mirrored_playlists (source, source_playlist_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_mirrored_tracks_playlist ON mirrored_playlist_tracks (playlist_id)")
# Automations table — trigger → action scheduled tasks
cursor.execute("""
CREATE TABLE IF NOT EXISTS automations (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL,
enabled INTEGER DEFAULT 1,
trigger_type TEXT NOT NULL,
trigger_config TEXT DEFAULT '{}',
action_type TEXT NOT NULL,
action_config TEXT DEFAULT '{}',
last_run TIMESTAMP,
next_run TIMESTAMP,
run_count INTEGER DEFAULT 0,
last_error TEXT,
profile_id INTEGER DEFAULT 1,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_automations_profile ON automations (profile_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_automations_enabled ON automations (enabled)")
# Automation run history table
cursor.execute("""
CREATE TABLE IF NOT EXISTS automation_run_history (
id INTEGER PRIMARY KEY AUTOINCREMENT,
automation_id INTEGER NOT NULL,
started_at TIMESTAMP,
finished_at TIMESTAMP,
duration_seconds REAL,
status TEXT NOT NULL,
summary TEXT,
result_json TEXT,
log_lines TEXT,
FOREIGN KEY (automation_id) REFERENCES automations(id) ON DELETE CASCADE
)
""")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_arh_automation_id ON automation_run_history(automation_id)")
# Add notification columns to automations (migration)
self._add_automation_notify_columns(cursor)
self._add_automation_system_column(cursor)
self._add_automation_then_actions_column(cursor)
self._add_automation_group_name_column(cursor)
# Library issues — user-reported problems with tracks/albums/artists
cursor.execute("""
CREATE TABLE IF NOT EXISTS library_issues (
id INTEGER PRIMARY KEY AUTOINCREMENT,
profile_id INTEGER NOT NULL DEFAULT 1,
entity_type TEXT NOT NULL,
entity_id TEXT NOT NULL,
category TEXT NOT NULL,
title TEXT NOT NULL,
description TEXT,
snapshot_data TEXT DEFAULT '{}',
status TEXT NOT NULL DEFAULT 'open',
priority TEXT NOT NULL DEFAULT 'normal',
admin_response TEXT,
resolved_by INTEGER,
resolved_at TIMESTAMP,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (profile_id) REFERENCES profiles (id) ON DELETE CASCADE
)
""")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_library_issues_profile ON library_issues (profile_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_library_issues_status ON library_issues (status)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_library_issues_entity ON library_issues (entity_type, entity_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_library_issues_created ON library_issues (created_at)")
# Library history — persistent log of downloads and server imports
cursor.execute("""
CREATE TABLE IF NOT EXISTS library_history (
id INTEGER PRIMARY KEY AUTOINCREMENT,
event_type TEXT NOT NULL,
title TEXT NOT NULL,
artist_name TEXT,
album_name TEXT,
quality TEXT,
server_source TEXT,
file_path TEXT,
thumb_url TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_lh_event_type ON library_history (event_type)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_lh_created_at ON library_history (created_at DESC)")
# Sync history table — tracks the last 100 sync operations with cached context for re-trigger
cursor.execute("""
CREATE TABLE IF NOT EXISTS sync_history (
id INTEGER PRIMARY KEY AUTOINCREMENT,
batch_id TEXT NOT NULL,
playlist_id TEXT,
playlist_name TEXT NOT NULL,
source TEXT NOT NULL,
sync_type TEXT NOT NULL,
artist_context TEXT,
album_context TEXT,
tracks_json TEXT NOT NULL,
total_tracks INTEGER DEFAULT 0,
tracks_found INTEGER DEFAULT 0,
tracks_downloaded INTEGER DEFAULT 0,
tracks_failed INTEGER DEFAULT 0,
thumb_url TEXT,
is_album_download INTEGER DEFAULT 0,
playlist_folder_mode INTEGER DEFAULT 0,
started_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
completed_at TIMESTAMP
)
""")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_sh_started_at ON sync_history (started_at DESC)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_sh_source ON sync_history (source)")
conn.commit()
logger.info("Database initialized successfully")
except Exception as e:
logger.error(f"Error initializing database: {e}")
raise
def _add_automation_notify_columns(self, cursor):
"""Add notification and result columns to automations table."""
try:
cursor.execute("PRAGMA table_info(automations)")
cols = [c[1] for c in cursor.fetchall()]
for col, typedef in [('notify_type', 'TEXT DEFAULT NULL'), ('notify_config', "TEXT DEFAULT '{}'"), ('last_result', 'TEXT DEFAULT NULL')]:
if col not in cols:
cursor.execute(f"ALTER TABLE automations ADD COLUMN {col} {typedef}")
logger.info(f"Added {col} column to automations table")
except Exception as e:
logger.error(f"Error adding automation notify columns: {e}")
def _add_automation_system_column(self, cursor):
"""Add is_system column to automations table for non-deletable system automations."""
try:
cursor.execute("PRAGMA table_info(automations)")
cols = [c[1] for c in cursor.fetchall()]
if 'is_system' not in cols:
cursor.execute("ALTER TABLE automations ADD COLUMN is_system INTEGER DEFAULT 0")
logger.info("Added is_system column to automations table")
except Exception as e:
logger.error(f"Error adding automation system column: {e}")
def _add_automation_group_name_column(self, cursor):
"""Add group_name column to automations table for folder-style grouping."""
try:
cursor.execute("PRAGMA table_info(automations)")
cols = [c[1] for c in cursor.fetchall()]
if 'group_name' not in cols:
cursor.execute("ALTER TABLE automations ADD COLUMN group_name TEXT DEFAULT NULL")
logger.info("Added group_name column to automations table")
except Exception as e:
logger.error(f"Error adding automation group_name column: {e}")
def _add_automation_then_actions_column(self, cursor):
"""Add then_actions column to automations table and migrate existing notify data."""
try:
cursor.execute("PRAGMA table_info(automations)")
cols = [c[1] for c in cursor.fetchall()]
if 'then_actions' not in cols:
cursor.execute("ALTER TABLE automations ADD COLUMN then_actions TEXT DEFAULT '[]'")
logger.info("Added then_actions column to automations table")
# Migrate existing notify_type/notify_config into then_actions
cursor.execute("SELECT id, notify_type, notify_config FROM automations WHERE notify_type IS NOT NULL AND notify_type != ''")
for row in cursor.fetchall():
try:
config = json.loads(row[2]) if row[2] else {}
then_actions = json.dumps([{'type': row[1], 'config': config}])
cursor.execute("UPDATE automations SET then_actions = ? WHERE id = ?", (then_actions, row[0]))
except Exception:
pass
logger.info("Migrated existing notify data to then_actions")
except Exception as e:
logger.error(f"Error adding automation then_actions column: {e}")
def _add_server_source_columns(self, cursor):
"""Add server_source columns to existing tables for multi-server support"""
try:
# Check if server_source column exists in artists table
cursor.execute("PRAGMA table_info(artists)")
artists_columns = [column[1] for column in cursor.fetchall()]
if 'server_source' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN server_source TEXT DEFAULT 'plex'")
logger.info("Added server_source column to artists table")
# Check if server_source column exists in albums table
cursor.execute("PRAGMA table_info(albums)")
albums_columns = [column[1] for column in cursor.fetchall()]
if 'server_source' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN server_source TEXT DEFAULT 'plex'")
logger.info("Added server_source column to albums table")
# Check if server_source column exists in tracks table
cursor.execute("PRAGMA table_info(tracks)")
tracks_columns = [column[1] for column in cursor.fetchall()]
if 'server_source' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN server_source TEXT DEFAULT 'plex'")
logger.info("Added server_source column to tracks table")
# Create indexes for server_source columns for performance
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_server_source ON artists (server_source)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_server_source ON albums (server_source)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_server_source ON tracks (server_source)")
except Exception as e:
logger.error(f"Error adding server_source columns: {e}")
# Don't raise - this is a migration, database can still function without it
def _migrate_id_columns_to_text(self, cursor):
"""Migrate ID columns from INTEGER to TEXT to support both Plex (int) and Jellyfin (GUID) IDs"""
try:
# Check if migration has already been applied by looking for a specific marker
cursor.execute("SELECT value FROM metadata WHERE key = 'id_columns_migrated' LIMIT 1")
migration_done = cursor.fetchone()
if migration_done:
logger.debug("ID columns migration already applied")
return
logger.info("Migrating ID columns to support both integer and string IDs...")
# SQLite doesn't support changing column types directly, so we need to recreate tables
# This is a complex migration - let's do it safely
# Step 1: Create new tables with TEXT IDs
cursor.execute("""
CREATE TABLE IF NOT EXISTS artists_new (
id TEXT PRIMARY KEY,
name TEXT NOT NULL,
thumb_url TEXT,
genres TEXT,
summary TEXT,
server_source TEXT DEFAULT 'plex',
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
cursor.execute("""
CREATE TABLE IF NOT EXISTS albums_new (
id TEXT PRIMARY KEY,
artist_id TEXT NOT NULL,
title TEXT NOT NULL,
year INTEGER,
thumb_url TEXT,
genres TEXT,
track_count INTEGER,
duration INTEGER,
server_source TEXT DEFAULT 'plex',
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (artist_id) REFERENCES artists_new (id) ON DELETE CASCADE
)
""")
cursor.execute("""
CREATE TABLE IF NOT EXISTS tracks_new (
id TEXT PRIMARY KEY,
album_id TEXT NOT NULL,
artist_id TEXT NOT NULL,
title TEXT NOT NULL,
track_number INTEGER,
duration INTEGER,
file_path TEXT,
bitrate INTEGER,
server_source TEXT DEFAULT 'plex',
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (album_id) REFERENCES albums_new (id) ON DELETE CASCADE,
FOREIGN KEY (artist_id) REFERENCES artists_new (id) ON DELETE CASCADE
)
""")
# Step 2: Copy existing data (converting INTEGER IDs to TEXT)
cursor.execute("""
INSERT INTO artists_new (id, name, thumb_url, genres, summary, server_source, created_at, updated_at)
SELECT CAST(id AS TEXT), name, thumb_url, genres, summary,
COALESCE(server_source, 'plex'), created_at, updated_at
FROM artists
""")
cursor.execute("""
INSERT INTO albums_new (id, artist_id, title, year, thumb_url, genres, track_count, duration, server_source, created_at, updated_at)
SELECT CAST(id AS TEXT), CAST(artist_id AS TEXT), title, year, thumb_url, genres, track_count, duration,
COALESCE(server_source, 'plex'), created_at, updated_at
FROM albums
""")
cursor.execute("""
INSERT INTO tracks_new (id, album_id, artist_id, title, track_number, duration, file_path, bitrate, server_source, created_at, updated_at)
SELECT CAST(id AS TEXT), CAST(album_id AS TEXT), CAST(artist_id AS TEXT), title, track_number, duration, file_path, bitrate,
COALESCE(server_source, 'plex'), created_at, updated_at
FROM tracks
""")
# Step 3: Drop old tables and rename new ones
cursor.execute("DROP TABLE IF EXISTS tracks")
cursor.execute("DROP TABLE IF EXISTS albums")
cursor.execute("DROP TABLE IF EXISTS artists")
cursor.execute("ALTER TABLE artists_new RENAME TO artists")
cursor.execute("ALTER TABLE albums_new RENAME TO albums")
cursor.execute("ALTER TABLE tracks_new RENAME TO tracks")
# Step 4: Recreate indexes
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_artist_id ON albums (artist_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_album_id ON tracks (album_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_artist_id ON tracks (artist_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_server_source ON artists (server_source)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_server_source ON albums (server_source)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_server_source ON tracks (server_source)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_name ON artists (name)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_title ON albums (title)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_title ON tracks (title)")
# Step 5: Mark migration as complete
cursor.execute("""
INSERT OR REPLACE INTO metadata (key, value, updated_at)
VALUES ('id_columns_migrated', 'true', CURRENT_TIMESTAMP)
""")
logger.info("ID columns migration completed successfully")
except Exception as e:
logger.error(f"Error migrating ID columns: {e}")
# Don't raise - this is a migration, database can still function
def _add_discovery_tables(self, cursor):
"""Add tables for discovery feature: similar artists, discovery pool, and recent releases"""
try:
# Similar Artists table - stores similar artists for each watchlist artist
# Supports both Spotify and iTunes IDs for dual-source discovery
cursor.execute("""
CREATE TABLE IF NOT EXISTS similar_artists (
id INTEGER PRIMARY KEY AUTOINCREMENT,
source_artist_id TEXT NOT NULL,
similar_artist_spotify_id TEXT,
similar_artist_itunes_id TEXT,
similar_artist_name TEXT NOT NULL,
similarity_rank INTEGER DEFAULT 1,
occurrence_count INTEGER DEFAULT 1,
last_updated TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
UNIQUE(source_artist_id, similar_artist_name)
)
""")
# Discovery Pool table - rotating pool of 1000-2000 tracks for recommendations
# Supports both Spotify and iTunes sources for dual-source discovery
cursor.execute("""
CREATE TABLE IF NOT EXISTS discovery_pool (
id INTEGER PRIMARY KEY AUTOINCREMENT,
spotify_track_id TEXT,
spotify_album_id TEXT,
spotify_artist_id TEXT,
itunes_track_id TEXT,
itunes_album_id TEXT,
itunes_artist_id TEXT,
source TEXT NOT NULL DEFAULT 'spotify',
track_name TEXT NOT NULL,
artist_name TEXT NOT NULL,
album_name TEXT NOT NULL,
album_cover_url TEXT,
duration_ms INTEGER,
popularity INTEGER DEFAULT 0,
release_date TEXT,
is_new_release BOOLEAN DEFAULT 0,
track_data_json TEXT NOT NULL,
added_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
UNIQUE(spotify_track_id, itunes_track_id, source)
)
""")
# Recent Releases table - tracks new releases from watchlist artists
# Supports both Spotify and iTunes sources for dual-source discovery
cursor.execute("""
CREATE TABLE IF NOT EXISTS recent_releases (
id INTEGER PRIMARY KEY AUTOINCREMENT,
watchlist_artist_id INTEGER NOT NULL,
album_spotify_id TEXT,
album_itunes_id TEXT,
source TEXT NOT NULL DEFAULT 'spotify',
album_name TEXT NOT NULL,
release_date TEXT NOT NULL,
album_cover_url TEXT,
track_count INTEGER DEFAULT 0,
added_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
UNIQUE(watchlist_artist_id, album_spotify_id, album_itunes_id),
FOREIGN KEY (watchlist_artist_id) REFERENCES watchlist_artists (id) ON DELETE CASCADE
)
""")
# Discovery Recent Albums cache - for discover page recent releases section
# Supports both Spotify and iTunes sources for dual-source discovery
cursor.execute("""
CREATE TABLE IF NOT EXISTS discovery_recent_albums (
id INTEGER PRIMARY KEY AUTOINCREMENT,
album_spotify_id TEXT,
album_itunes_id TEXT,
artist_spotify_id TEXT,
artist_itunes_id TEXT,
source TEXT NOT NULL DEFAULT 'spotify',
album_name TEXT NOT NULL,
artist_name TEXT NOT NULL,
album_cover_url TEXT,
release_date TEXT NOT NULL,
album_type TEXT DEFAULT 'album',
cached_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
UNIQUE(album_spotify_id, album_itunes_id, source)
)
""")
# Discovery Curated Playlists - store curated track selections for consistency
cursor.execute("""
CREATE TABLE IF NOT EXISTS discovery_curated_playlists (
id INTEGER PRIMARY KEY AUTOINCREMENT,
playlist_type TEXT NOT NULL UNIQUE,
track_ids_json TEXT NOT NULL,
curated_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
# Discovery Pool Metadata - track when pool was last populated to prevent over-polling
cursor.execute("""
CREATE TABLE IF NOT EXISTS discovery_pool_metadata (
id INTEGER PRIMARY KEY CHECK (id = 1),
last_populated_timestamp TIMESTAMP NOT NULL,
track_count INTEGER DEFAULT 0,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
# ListenBrainz Playlists - cache playlists from ListenBrainz
cursor.execute("""
CREATE TABLE IF NOT EXISTS listenbrainz_playlists (
id INTEGER PRIMARY KEY AUTOINCREMENT,
playlist_mbid TEXT NOT NULL UNIQUE,
title TEXT NOT NULL,
creator TEXT,
playlist_type TEXT NOT NULL,
track_count INTEGER DEFAULT 0,
annotation_data TEXT,
last_updated TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
cached_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
# ListenBrainz Tracks - cache tracks for each playlist
cursor.execute("""
CREATE TABLE IF NOT EXISTS listenbrainz_tracks (
id INTEGER PRIMARY KEY AUTOINCREMENT,
playlist_id INTEGER NOT NULL,
position INTEGER NOT NULL,
track_name TEXT NOT NULL,
artist_name TEXT NOT NULL,
album_name TEXT NOT NULL,
duration_ms INTEGER DEFAULT 0,
recording_mbid TEXT,
release_mbid TEXT,
album_cover_url TEXT,
additional_metadata TEXT,
FOREIGN KEY (playlist_id) REFERENCES listenbrainz_playlists (id) ON DELETE CASCADE,
UNIQUE(playlist_id, position)
)
""")
# ============== MIGRATIONS (must run BEFORE index creation on new columns) ==============
# Add genres column to discovery_pool if it doesn't exist (migration)
cursor.execute("PRAGMA table_info(discovery_pool)")
discovery_pool_columns = [column[1] for column in cursor.fetchall()]
if 'artist_genres' not in discovery_pool_columns:
cursor.execute("ALTER TABLE discovery_pool ADD COLUMN artist_genres TEXT")
logger.info("Added artist_genres column to discovery_pool table")
# Migration: Add iTunes columns to discovery_pool for dual-source discovery
if 'itunes_track_id' not in discovery_pool_columns:
cursor.execute("ALTER TABLE discovery_pool ADD COLUMN itunes_track_id TEXT")
cursor.execute("ALTER TABLE discovery_pool ADD COLUMN itunes_album_id TEXT")
cursor.execute("ALTER TABLE discovery_pool ADD COLUMN itunes_artist_id TEXT")
cursor.execute("ALTER TABLE discovery_pool ADD COLUMN source TEXT DEFAULT 'spotify'")
logger.info("Added iTunes columns to discovery_pool table for dual-source discovery")
# Migration: Add Deezer columns to discovery_pool for tri-source discovery
if 'deezer_track_id' not in discovery_pool_columns:
cursor.execute("ALTER TABLE discovery_pool ADD COLUMN deezer_track_id TEXT")
cursor.execute("ALTER TABLE discovery_pool ADD COLUMN deezer_album_id TEXT")
cursor.execute("ALTER TABLE discovery_pool ADD COLUMN deezer_artist_id TEXT")
logger.info("Added Deezer columns to discovery_pool table")
# Migration: Add iTunes ID to similar_artists for dual-source discovery
cursor.execute("PRAGMA table_info(similar_artists)")
similar_artists_columns = [column[1] for column in cursor.fetchall()]
if 'similar_artist_itunes_id' not in similar_artists_columns:
cursor.execute("ALTER TABLE similar_artists ADD COLUMN similar_artist_itunes_id TEXT")
logger.info("Added similar_artist_itunes_id column to similar_artists table")
if 'similar_artist_deezer_id' not in similar_artists_columns:
cursor.execute("ALTER TABLE similar_artists ADD COLUMN similar_artist_deezer_id TEXT")
logger.info("Added similar_artist_deezer_id column to similar_artists table")
# Migration: Add iTunes columns to recent_releases for dual-source discovery
cursor.execute("PRAGMA table_info(recent_releases)")
recent_releases_columns = [column[1] for column in cursor.fetchall()]
if 'album_itunes_id' not in recent_releases_columns:
cursor.execute("ALTER TABLE recent_releases ADD COLUMN album_itunes_id TEXT")
cursor.execute("ALTER TABLE recent_releases ADD COLUMN source TEXT DEFAULT 'spotify'")
logger.info("Added iTunes columns to recent_releases table for dual-source discovery")
# Migration: Add Deezer column to recent_releases for tri-source discovery
if 'album_deezer_id' not in recent_releases_columns:
cursor.execute("ALTER TABLE recent_releases ADD COLUMN album_deezer_id TEXT")
logger.info("Added album_deezer_id column to recent_releases table")
# Migration: Add iTunes columns to discovery_recent_albums for dual-source discovery
cursor.execute("PRAGMA table_info(discovery_recent_albums)")
discovery_recent_albums_columns = [column[1] for column in cursor.fetchall()]
if 'album_itunes_id' not in discovery_recent_albums_columns:
cursor.execute("ALTER TABLE discovery_recent_albums ADD COLUMN album_itunes_id TEXT")
cursor.execute("ALTER TABLE discovery_recent_albums ADD COLUMN artist_itunes_id TEXT")
cursor.execute("ALTER TABLE discovery_recent_albums ADD COLUMN source TEXT DEFAULT 'spotify'")
logger.info("Added iTunes columns to discovery_recent_albums table for dual-source discovery")
# Migration: Add Deezer columns to discovery_recent_albums for tri-source discovery
if 'album_deezer_id' not in discovery_recent_albums_columns:
cursor.execute("ALTER TABLE discovery_recent_albums ADD COLUMN album_deezer_id TEXT")
cursor.execute("ALTER TABLE discovery_recent_albums ADD COLUMN artist_deezer_id TEXT")
logger.info("Added Deezer columns to discovery_recent_albums table")
# Migration: Fix NOT NULL constraint on album_spotify_id (required for iTunes-only albums)
# Check if album_spotify_id has NOT NULL constraint by checking table schema
cursor.execute("SELECT sql FROM sqlite_master WHERE type='table' AND name='discovery_recent_albums'")
table_schema = cursor.fetchone()
if table_schema and 'album_spotify_id TEXT NOT NULL' in (table_schema[0] or ''):
logger.info("Migrating discovery_recent_albums to allow NULL album_spotify_id for iTunes support...")
# SQLite doesn't support ALTER COLUMN, so recreate table
cursor.execute("PRAGMA table_info(discovery_recent_albums)")
old_cols_info = cursor.fetchall()
old_col_names = [c[1] for c in old_cols_info]
cursor.execute("""
CREATE TABLE IF NOT EXISTS discovery_recent_albums_new (
id INTEGER PRIMARY KEY AUTOINCREMENT,
album_spotify_id TEXT,
album_itunes_id TEXT,
album_deezer_id TEXT,
artist_spotify_id TEXT,
artist_itunes_id TEXT,
artist_deezer_id TEXT,
source TEXT NOT NULL DEFAULT 'spotify',
album_name TEXT NOT NULL,
artist_name TEXT NOT NULL,
album_cover_url TEXT,
release_date TEXT NOT NULL,
album_type TEXT DEFAULT 'album',
cached_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
UNIQUE(album_spotify_id, album_itunes_id, album_deezer_id, source)
)
""")
new_cols = ['id', 'album_spotify_id', 'album_itunes_id', 'album_deezer_id',
'artist_spotify_id', 'artist_itunes_id', 'artist_deezer_id',
'source', 'album_name', 'artist_name', 'album_cover_url',
'release_date', 'album_type', 'cached_date']
shared_cols = [c for c in new_cols if c in old_col_names]
cols_str = ', '.join(shared_cols)
cursor.execute(f"INSERT OR IGNORE INTO discovery_recent_albums_new ({cols_str}) SELECT {cols_str} FROM discovery_recent_albums")
cursor.execute("DROP TABLE discovery_recent_albums")
cursor.execute("ALTER TABLE discovery_recent_albums_new RENAME TO discovery_recent_albums")
conn.commit()
logger.info("Successfully migrated discovery_recent_albums table for iTunes support")
# Migration: Add UNIQUE constraint to similar_artists table
# Skip if table already has profile-scoped UNIQUE constraint (from v3 migration)
cursor.execute("SELECT sql FROM sqlite_master WHERE type='table' AND name='similar_artists'")
sa_create_sql = cursor.fetchone()
has_profile_unique = sa_create_sql and 'UNIQUE(profile_id' in (sa_create_sql[0] or '')
if not has_profile_unique:
# Test if ON CONFLICT works by trying a dummy operation
needs_similar_migration = False
try:
cursor.execute("""
INSERT INTO similar_artists
(source_artist_id, similar_artist_name, similarity_rank, occurrence_count, last_updated)
VALUES ('__migration_test__', '__migration_test__', 1, 1, CURRENT_TIMESTAMP)
ON CONFLICT(source_artist_id, similar_artist_name)
DO UPDATE SET occurrence_count = occurrence_count
""")
# Clean up test row
cursor.execute("DELETE FROM similar_artists WHERE source_artist_id = '__migration_test__'")
logger.info("similar_artists table has correct UNIQUE constraint")
except Exception as constraint_error:
logger.info(f"similar_artists needs migration (constraint test failed: {constraint_error})")
needs_similar_migration = True
if needs_similar_migration:
logger.info("Migrating similar_artists to add UNIQUE constraint...")
# Get a fresh connection for the migration
with self._get_connection() as migration_conn:
migration_cursor = migration_conn.cursor()
# SQLite doesn't support adding constraints, so recreate table
migration_cursor.execute("DROP TABLE IF EXISTS similar_artists_new")
migration_cursor.execute("""
CREATE TABLE similar_artists_new (
id INTEGER PRIMARY KEY AUTOINCREMENT,
source_artist_id TEXT NOT NULL,
similar_artist_spotify_id TEXT,
similar_artist_itunes_id TEXT,
similar_artist_name TEXT NOT NULL,
similarity_rank INTEGER DEFAULT 1,
occurrence_count INTEGER DEFAULT 1,
last_updated TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
UNIQUE(source_artist_id, similar_artist_name)
)
""")
migration_cursor.execute("""
INSERT OR IGNORE INTO similar_artists_new
(source_artist_id, similar_artist_spotify_id, similar_artist_itunes_id,
similar_artist_name, similarity_rank, occurrence_count, last_updated)
SELECT source_artist_id, similar_artist_spotify_id, similar_artist_itunes_id,
similar_artist_name, similarity_rank, occurrence_count, last_updated
FROM similar_artists
""")
migration_cursor.execute("DROP TABLE similar_artists")
migration_cursor.execute("ALTER TABLE similar_artists_new RENAME TO similar_artists")
migration_conn.commit()
logger.info("Successfully migrated similar_artists table with UNIQUE constraint")
# ============== INDEXES (after migrations to ensure columns exist) ==============
cursor.execute("CREATE INDEX IF NOT EXISTS idx_similar_artists_source ON similar_artists (source_artist_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_similar_artists_spotify ON similar_artists (similar_artist_spotify_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_similar_artists_itunes ON similar_artists (similar_artist_itunes_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_similar_artists_occurrence ON similar_artists (occurrence_count)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_similar_artists_name ON similar_artists (similar_artist_name)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_discovery_pool_spotify_track ON discovery_pool (spotify_track_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_discovery_pool_itunes_track ON discovery_pool (itunes_track_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_discovery_pool_artist ON discovery_pool (spotify_artist_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_discovery_pool_itunes_artist ON discovery_pool (itunes_artist_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_discovery_pool_deezer_track ON discovery_pool (deezer_track_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_discovery_pool_deezer_artist ON discovery_pool (deezer_artist_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_discovery_pool_source ON discovery_pool (source)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_discovery_pool_added_date ON discovery_pool (added_date)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_discovery_pool_is_new ON discovery_pool (is_new_release)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_recent_releases_watchlist ON recent_releases (watchlist_artist_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_recent_releases_date ON recent_releases (release_date)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_recent_releases_source ON recent_releases (source)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_discovery_recent_albums_source ON discovery_recent_albums (source)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_discovery_recent_albums_date ON discovery_recent_albums (release_date)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_listenbrainz_playlists_type ON listenbrainz_playlists (playlist_type)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_listenbrainz_playlists_mbid ON listenbrainz_playlists (playlist_mbid)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_listenbrainz_tracks_playlist ON listenbrainz_tracks (playlist_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_listenbrainz_tracks_position ON listenbrainz_tracks (playlist_id, position)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_discovery_recent_albums_artist ON discovery_recent_albums (artist_spotify_id)")
# Discovery Match Cache - caches successful discovery matches across all sources
cursor.execute("""
CREATE TABLE IF NOT EXISTS discovery_match_cache (
id INTEGER PRIMARY KEY AUTOINCREMENT,
normalized_title TEXT NOT NULL,
normalized_artist TEXT NOT NULL,
provider TEXT NOT NULL,
match_confidence REAL NOT NULL,
matched_data_json TEXT NOT NULL,
original_title TEXT,
original_artist TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
last_used_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
use_count INTEGER DEFAULT 1,
UNIQUE(normalized_title, normalized_artist, provider)
)
""")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_discovery_cache_lookup ON discovery_match_cache (normalized_title, normalized_artist, provider)")
# Sync match cache — caches server track ID for discovered Spotify tracks
cursor.execute("""
CREATE TABLE IF NOT EXISTS sync_match_cache (
id INTEGER PRIMARY KEY AUTOINCREMENT,
spotify_track_id TEXT NOT NULL,
normalized_title TEXT NOT NULL,
normalized_artist TEXT NOT NULL,
server_source TEXT NOT NULL,
server_track_id INTEGER NOT NULL,
server_track_title TEXT,
confidence REAL NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
last_used_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
use_count INTEGER DEFAULT 1,
UNIQUE(spotify_track_id, server_source)
)
""")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_sync_cache_lookup ON sync_match_cache (spotify_track_id, server_source)")
logger.info("Discovery tables created successfully")
except Exception as e:
logger.error(f"Error creating discovery tables: {e}")
# Don't raise - this is a migration, database can still function
def _add_watchlist_artist_image_column(self, cursor):
"""Add image_url column to watchlist_artists table"""
try:
cursor.execute("PRAGMA table_info(watchlist_artists)")
columns = [column[1] for column in cursor.fetchall()]
if 'image_url' not in columns:
cursor.execute("ALTER TABLE watchlist_artists ADD COLUMN image_url TEXT")
logger.info("Added image_url column to watchlist_artists table")
except Exception as e:
logger.error(f"Error adding image_url column to watchlist_artists: {e}")
# Don't raise - this is a migration, database can still function
def _add_watchlist_album_type_filters(self, cursor):
"""Add album type filter columns to watchlist_artists table"""
try:
cursor.execute("PRAGMA table_info(watchlist_artists)")
columns = [column[1] for column in cursor.fetchall()]
columns_to_add = {
'include_albums': ('INTEGER', '1'), # 1 = True (include albums)
'include_eps': ('INTEGER', '1'), # 1 = True (include EPs)
'include_singles': ('INTEGER', '1') # 1 = True (include singles)
}
for column_name, (column_type, default_value) in columns_to_add.items():
if column_name not in columns:
cursor.execute(f"ALTER TABLE watchlist_artists ADD COLUMN {column_name} {column_type} DEFAULT {default_value}")
logger.info(f"Added {column_name} column to watchlist_artists table")
except Exception as e:
logger.error(f"Error adding album type filter columns to watchlist_artists: {e}")
# Don't raise - this is a migration, database can still function
def _add_watchlist_content_type_filters(self, cursor):
"""Add content type filter columns to watchlist_artists table"""
try:
cursor.execute("PRAGMA table_info(watchlist_artists)")
columns = [column[1] for column in cursor.fetchall()]
columns_to_add = {
'include_live': ('INTEGER', '0'), # 0 = False (exclude live versions by default)
'include_remixes': ('INTEGER', '0'), # 0 = False (exclude remixes by default)
'include_acoustic': ('INTEGER', '0'), # 0 = False (exclude acoustic by default)
'include_compilations': ('INTEGER', '0'), # 0 = False (exclude compilations by default)
'include_instrumentals': ('INTEGER', '0') # 0 = False (exclude instrumentals by default)
}
for column_name, (column_type, default_value) in columns_to_add.items():
if column_name not in columns:
cursor.execute(f"ALTER TABLE watchlist_artists ADD COLUMN {column_name} {column_type} DEFAULT {default_value}")
logger.info(f"Added {column_name} column to watchlist_artists table")
except Exception as e:
logger.error(f"Error adding content type filter columns to watchlist_artists: {e}")
# Don't raise - this is a migration, database can still function
def _add_watchlist_itunes_id_column(self, cursor):
"""Add iTunes artist ID column to watchlist_artists table for cross-provider support"""
try:
cursor.execute("PRAGMA table_info(watchlist_artists)")
columns = [column[1] for column in cursor.fetchall()]
if 'itunes_artist_id' not in columns:
cursor.execute("ALTER TABLE watchlist_artists ADD COLUMN itunes_artist_id TEXT")
logger.info("Added itunes_artist_id column to watchlist_artists table for cross-provider support")
if 'deezer_artist_id' not in columns:
cursor.execute("ALTER TABLE watchlist_artists ADD COLUMN deezer_artist_id TEXT")
logger.info("Added deezer_artist_id column to watchlist_artists table for cross-provider support")
except Exception as e:
logger.error(f"Error adding itunes_artist_id column to watchlist_artists: {e}")
# Don't raise - this is a migration, database can still function
def _add_similar_artists_last_featured_column(self, cursor):
"""Add last_featured column to similar_artists for hero slider cycling"""
try:
cursor.execute("PRAGMA table_info(similar_artists)")
columns = [column[1] for column in cursor.fetchall()]
if 'last_featured' not in columns:
cursor.execute("ALTER TABLE similar_artists ADD COLUMN last_featured TIMESTAMP")
logger.info("Added last_featured column to similar_artists table for hero cycling")
# Migration: Add cached metadata columns to avoid API calls on every page load
if 'image_url' not in columns:
cursor.execute("ALTER TABLE similar_artists ADD COLUMN image_url TEXT")
cursor.execute("ALTER TABLE similar_artists ADD COLUMN genres TEXT")
cursor.execute("ALTER TABLE similar_artists ADD COLUMN popularity INTEGER DEFAULT 0")
cursor.execute("ALTER TABLE similar_artists ADD COLUMN metadata_updated_at TIMESTAMP")
logger.info("Added image_url, genres, popularity, metadata_updated_at columns to similar_artists for hero caching")
except Exception as e:
logger.error(f"Error adding columns to similar_artists: {e}")
# Don't raise - this is a migration, database can still function
def _fix_watchlist_spotify_id_nullable(self, cursor):
"""
Make spotify_artist_id nullable in watchlist_artists table.
This allows adding iTunes-only artists without Spotify IDs.
Since SQLite doesn't support modifying column constraints directly,
we need to recreate the table if the constraint needs to be changed.
"""
try:
# Check if spotify_artist_id is currently NOT NULL using PRAGMA
# (more reliable than string-matching the CREATE TABLE SQL)
cursor.execute("PRAGMA table_info(watchlist_artists)")
columns = {col[1]: col for col in cursor.fetchall()}
spotify_col = columns.get('spotify_artist_id')
# notnull flag is index 3 in PRAGMA table_info
has_not_null = spotify_col and spotify_col[3] == 1
if has_not_null:
logger.info("Migrating watchlist_artists table to make spotify_artist_id nullable...")
# Check if old table already has profile_id (from profile migration)
old_has_profile = 'profile_id' in columns
# Drop leftover temp table from any previous failed migration
cursor.execute("DROP TABLE IF EXISTS watchlist_artists_new")
# Create new table with nullable spotify_artist_id
# Include profile_id + composite UNIQUE if old table had profile support
if old_has_profile:
cursor.execute("""
CREATE TABLE watchlist_artists_new (
id INTEGER PRIMARY KEY AUTOINCREMENT,
spotify_artist_id TEXT,
artist_name TEXT NOT NULL,
date_added TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
last_scan_timestamp TIMESTAMP,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
image_url TEXT,
include_albums INTEGER DEFAULT 1,
include_eps INTEGER DEFAULT 1,
include_singles INTEGER DEFAULT 1,
include_live INTEGER DEFAULT 0,
include_remixes INTEGER DEFAULT 0,
include_acoustic INTEGER DEFAULT 0,
include_compilations INTEGER DEFAULT 0,
itunes_artist_id TEXT,
profile_id INTEGER DEFAULT 1,
UNIQUE(profile_id, spotify_artist_id),
UNIQUE(profile_id, itunes_artist_id)
)
""")
else:
cursor.execute("""
CREATE TABLE watchlist_artists_new (
id INTEGER PRIMARY KEY AUTOINCREMENT,
spotify_artist_id TEXT UNIQUE,
artist_name TEXT NOT NULL,
date_added TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
last_scan_timestamp TIMESTAMP,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
image_url TEXT,
include_albums INTEGER DEFAULT 1,
include_eps INTEGER DEFAULT 1,
include_singles INTEGER DEFAULT 1,
include_live INTEGER DEFAULT 0,
include_remixes INTEGER DEFAULT 0,
include_acoustic INTEGER DEFAULT 0,
include_compilations INTEGER DEFAULT 0,
itunes_artist_id TEXT
)
""")
# Copy data from old table (only columns that exist in both)
cursor.execute("PRAGMA table_info(watchlist_artists)")
old_cols = [col[1] for col in cursor.fetchall()]
new_cols = ['id', 'spotify_artist_id', 'artist_name', 'date_added',
'last_scan_timestamp', 'created_at', 'updated_at', 'image_url',
'include_albums', 'include_eps', 'include_singles', 'include_live',
'include_remixes', 'include_acoustic', 'include_compilations',
'itunes_artist_id', 'profile_id']
shared_cols = [c for c in new_cols if c in old_cols]
cols_str = ', '.join(shared_cols)
cursor.execute(f"INSERT INTO watchlist_artists_new ({cols_str}) SELECT {cols_str} FROM watchlist_artists")
# Drop old table
cursor.execute("DROP TABLE watchlist_artists")
# Rename new table
cursor.execute("ALTER TABLE watchlist_artists_new RENAME TO watchlist_artists")
# Recreate indexes
cursor.execute("CREATE INDEX IF NOT EXISTS idx_watchlist_spotify_id ON watchlist_artists (spotify_artist_id)")
if old_has_profile:
cursor.execute("CREATE INDEX IF NOT EXISTS idx_watchlist_profile ON watchlist_artists (profile_id)")
logger.info("Successfully migrated watchlist_artists table - spotify_artist_id is now nullable")
else:
logger.debug("watchlist_artists table already has nullable spotify_artist_id or custom schema")
except Exception as e:
logger.error(f"Error making spotify_artist_id nullable in watchlist_artists: {e}")
# Don't raise - this is a migration, database can still function
def _add_musicbrainz_columns(self, cursor):
"""Add MusicBrainz tracking columns to library tables for metadata enrichment"""
columns_added = False
try:
# --- Artists ---
cursor.execute("PRAGMA table_info(artists)")
artists_columns = [column[1] for column in cursor.fetchall()]
if 'musicbrainz_id' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN musicbrainz_id TEXT")
columns_added = True
if 'musicbrainz_last_attempted' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN musicbrainz_last_attempted TIMESTAMP")
columns_added = True
if 'musicbrainz_match_status' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN musicbrainz_match_status TEXT")
columns_added = True
if columns_added:
logger.info("✅ Added MusicBrainz columns to artists table")
# --- Albums ---
cursor.execute("PRAGMA table_info(albums)")
albums_columns = [column[1] for column in cursor.fetchall()]
added_albums = False
if 'musicbrainz_release_id' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN musicbrainz_release_id TEXT")
added_albums = True
if 'musicbrainz_last_attempted' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN musicbrainz_last_attempted TIMESTAMP")
added_albums = True
if 'musicbrainz_match_status' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN musicbrainz_match_status TEXT")
added_albums = True
if added_albums:
columns_added = True
logger.info("✅ Added MusicBrainz columns to albums table")
# --- Tracks ---
cursor.execute("PRAGMA table_info(tracks)")
tracks_columns = [column[1] for column in cursor.fetchall()]
added_tracks = False
if 'musicbrainz_recording_id' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN musicbrainz_recording_id TEXT")
added_tracks = True
if 'musicbrainz_last_attempted' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN musicbrainz_last_attempted TIMESTAMP")
added_tracks = True
if 'musicbrainz_match_status' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN musicbrainz_match_status TEXT")
added_tracks = True
if added_tracks:
columns_added = True
logger.info("✅ Added MusicBrainz columns to tracks table")
# Create MusicBrainz cache table for storing API results
cursor.execute("""
CREATE TABLE IF NOT EXISTS musicbrainz_cache (
id INTEGER PRIMARY KEY AUTOINCREMENT,
entity_type TEXT NOT NULL,
entity_name TEXT NOT NULL,
artist_name TEXT,
musicbrainz_id TEXT,
spotify_id TEXT,
itunes_id TEXT,
metadata_json TEXT,
match_confidence INTEGER,
last_updated TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
UNIQUE(entity_type, entity_name, artist_name)
)
""")
# Create indexes (safe even if columns were already present)
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_mbid ON artists (musicbrainz_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_mb_status ON artists (musicbrainz_match_status)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_mbid ON albums (musicbrainz_release_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_mb_status ON albums (musicbrainz_match_status)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_mbid ON tracks (musicbrainz_recording_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_mb_status ON tracks (musicbrainz_match_status)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_mb_cache_entity ON musicbrainz_cache (entity_type, entity_name)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_mb_cache_mbid ON musicbrainz_cache (musicbrainz_id)")
if columns_added:
logger.info("🎉 MusicBrainz migration completed successfully")
except Exception as e:
logger.error(f"Error in MusicBrainz migration: {e}")
# Don't raise - this is a migration, database can still function
def _add_external_id_columns(self, cursor):
"""Add Spotify/iTunes external ID columns to library tables for enrichment"""
try:
# --- Artists ---
cursor.execute("PRAGMA table_info(artists)")
artists_columns = [column[1] for column in cursor.fetchall()]
if 'spotify_artist_id' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN spotify_artist_id TEXT")
if 'itunes_artist_id' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN itunes_artist_id TEXT")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_spotify_id ON artists (spotify_artist_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_itunes_id ON artists (itunes_artist_id)")
# --- Albums ---
cursor.execute("PRAGMA table_info(albums)")
albums_columns = [column[1] for column in cursor.fetchall()]
if 'spotify_album_id' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN spotify_album_id TEXT")
if 'itunes_album_id' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN itunes_album_id TEXT")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_spotify_id ON albums (spotify_album_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_itunes_id ON albums (itunes_album_id)")
# --- Tracks ---
cursor.execute("PRAGMA table_info(tracks)")
tracks_columns = [column[1] for column in cursor.fetchall()]
if 'spotify_track_id' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN spotify_track_id TEXT")
if 'itunes_track_id' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN itunes_track_id TEXT")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_spotify_id ON tracks (spotify_track_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_itunes_id ON tracks (itunes_track_id)")
except Exception as e:
logger.error(f"Error adding external ID columns: {e}")
# Don't raise - this is a migration, database can still function
def _add_audiodb_columns(self, cursor):
"""Add AudioDB tracking + generic metadata columns for enrichment (artists, albums, tracks)"""
try:
# --- Artists ---
cursor.execute("PRAGMA table_info(artists)")
artists_columns = [column[1] for column in cursor.fetchall()]
if 'audiodb_id' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN audiodb_id TEXT")
if 'audiodb_match_status' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN audiodb_match_status TEXT")
if 'audiodb_last_attempted' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN audiodb_last_attempted TIMESTAMP")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_audiodb_id ON artists (audiodb_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_audiodb_status ON artists (audiodb_match_status)")
if 'style' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN style TEXT")
if 'mood' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN mood TEXT")
if 'label' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN label TEXT")
if 'banner_url' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN banner_url TEXT")
# --- Albums ---
cursor.execute("PRAGMA table_info(albums)")
albums_columns = [column[1] for column in cursor.fetchall()]
if 'audiodb_id' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN audiodb_id TEXT")
if 'audiodb_match_status' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN audiodb_match_status TEXT")
if 'audiodb_last_attempted' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN audiodb_last_attempted TIMESTAMP")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_audiodb_id ON albums (audiodb_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_audiodb_status ON albums (audiodb_match_status)")
if 'style' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN style TEXT")
if 'mood' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN mood TEXT")
# --- Tracks ---
cursor.execute("PRAGMA table_info(tracks)")
tracks_columns = [column[1] for column in cursor.fetchall()]
if 'audiodb_id' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN audiodb_id TEXT")
if 'audiodb_match_status' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN audiodb_match_status TEXT")
if 'audiodb_last_attempted' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN audiodb_last_attempted TIMESTAMP")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_audiodb_id ON tracks (audiodb_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_audiodb_status ON tracks (audiodb_match_status)")
if 'style' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN style TEXT")
if 'mood' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN mood TEXT")
except Exception as e:
logger.error(f"Error adding AudioDB columns: {e}")
# Don't raise - this is a migration, database can still function
def _add_deezer_columns(self, cursor):
"""Add Deezer tracking + generic metadata columns for enrichment (artists, albums, tracks)"""
try:
# --- Artists ---
cursor.execute("PRAGMA table_info(artists)")
artists_columns = [column[1] for column in cursor.fetchall()]
if 'deezer_id' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN deezer_id TEXT")
if 'deezer_match_status' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN deezer_match_status TEXT")
if 'deezer_last_attempted' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN deezer_last_attempted TIMESTAMP")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_deezer_id ON artists (deezer_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_deezer_status ON artists (deezer_match_status)")
# --- Albums ---
cursor.execute("PRAGMA table_info(albums)")
albums_columns = [column[1] for column in cursor.fetchall()]
if 'deezer_id' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN deezer_id TEXT")
if 'deezer_match_status' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN deezer_match_status TEXT")
if 'deezer_last_attempted' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN deezer_last_attempted TIMESTAMP")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_deezer_id ON albums (deezer_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_deezer_status ON albums (deezer_match_status)")
if 'label' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN label TEXT")
if 'explicit' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN explicit INTEGER")
if 'record_type' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN record_type TEXT")
# --- Tracks ---
cursor.execute("PRAGMA table_info(tracks)")
tracks_columns = [column[1] for column in cursor.fetchall()]
if 'deezer_id' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN deezer_id TEXT")
if 'deezer_match_status' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN deezer_match_status TEXT")
if 'deezer_last_attempted' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN deezer_last_attempted TIMESTAMP")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_deezer_id ON tracks (deezer_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_deezer_status ON tracks (deezer_match_status)")
if 'bpm' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN bpm REAL")
if 'explicit' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN explicit INTEGER")
except Exception as e:
logger.error(f"Error adding Deezer columns: {e}")
# Don't raise - this is a migration, database can still function
# --- Repair worker columns ---
try:
if 'repair_status' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN repair_status TEXT")
if 'repair_last_checked' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN repair_last_checked TIMESTAMP")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_repair_status ON tracks (repair_status)")
except Exception as e:
logger.error(f"Error adding repair columns: {e}")
def _add_spotify_itunes_enrichment_columns(self, cursor):
"""Add Spotify/iTunes enrichment tracking columns (match_status + last_attempted) to artists, albums, tracks"""
try:
# --- Artists ---
cursor.execute("PRAGMA table_info(artists)")
artists_columns = [column[1] for column in cursor.fetchall()]
if 'spotify_match_status' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN spotify_match_status TEXT")
if 'spotify_last_attempted' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN spotify_last_attempted TIMESTAMP")
if 'itunes_match_status' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN itunes_match_status TEXT")
if 'itunes_last_attempted' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN itunes_last_attempted TIMESTAMP")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_spotify_match_status ON artists (spotify_match_status)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_itunes_match_status ON artists (itunes_match_status)")
# --- Albums ---
cursor.execute("PRAGMA table_info(albums)")
albums_columns = [column[1] for column in cursor.fetchall()]
if 'spotify_match_status' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN spotify_match_status TEXT")
if 'spotify_last_attempted' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN spotify_last_attempted TIMESTAMP")
if 'itunes_match_status' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN itunes_match_status TEXT")
if 'itunes_last_attempted' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN itunes_last_attempted TIMESTAMP")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_spotify_match_status ON albums (spotify_match_status)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_itunes_match_status ON albums (itunes_match_status)")
# --- Tracks ---
cursor.execute("PRAGMA table_info(tracks)")
tracks_columns = [column[1] for column in cursor.fetchall()]
if 'spotify_match_status' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN spotify_match_status TEXT")
if 'spotify_last_attempted' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN spotify_last_attempted TIMESTAMP")
if 'itunes_match_status' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN itunes_match_status TEXT")
if 'itunes_last_attempted' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN itunes_last_attempted TIMESTAMP")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_spotify_match_status ON tracks (spotify_match_status)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_itunes_match_status ON tracks (itunes_match_status)")
except Exception as e:
logger.error(f"Error adding Spotify/iTunes enrichment columns: {e}")
# Don't raise - this is a migration, database can still function
def _add_lastfm_genius_columns(self, cursor):
"""Add Last.fm and Genius enrichment tracking + metadata columns to artists, albums, tracks"""
try:
# --- Artists ---
cursor.execute("PRAGMA table_info(artists)")
artists_columns = [column[1] for column in cursor.fetchall()]
# Last.fm columns
if 'lastfm_match_status' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN lastfm_match_status TEXT")
if 'lastfm_last_attempted' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN lastfm_last_attempted TIMESTAMP")
if 'lastfm_listeners' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN lastfm_listeners INTEGER")
if 'lastfm_playcount' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN lastfm_playcount INTEGER")
if 'lastfm_tags' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN lastfm_tags TEXT")
if 'lastfm_similar' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN lastfm_similar TEXT")
if 'lastfm_bio' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN lastfm_bio TEXT")
if 'lastfm_url' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN lastfm_url TEXT")
# Genius columns
if 'genius_id' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN genius_id TEXT")
if 'genius_match_status' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN genius_match_status TEXT")
if 'genius_last_attempted' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN genius_last_attempted TIMESTAMP")
if 'genius_description' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN genius_description TEXT")
if 'genius_alt_names' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN genius_alt_names TEXT")
if 'genius_url' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN genius_url TEXT")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_lastfm_status ON artists (lastfm_match_status)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_genius_id ON artists (genius_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_genius_status ON artists (genius_match_status)")
# --- Albums ---
cursor.execute("PRAGMA table_info(albums)")
albums_columns = [column[1] for column in cursor.fetchall()]
# Last.fm columns
if 'lastfm_match_status' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN lastfm_match_status TEXT")
if 'lastfm_last_attempted' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN lastfm_last_attempted TIMESTAMP")
if 'lastfm_listeners' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN lastfm_listeners INTEGER")
if 'lastfm_playcount' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN lastfm_playcount INTEGER")
if 'lastfm_tags' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN lastfm_tags TEXT")
if 'lastfm_wiki' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN lastfm_wiki TEXT")
if 'lastfm_url' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN lastfm_url TEXT")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_lastfm_status ON albums (lastfm_match_status)")
# --- Tracks ---
cursor.execute("PRAGMA table_info(tracks)")
tracks_columns = [column[1] for column in cursor.fetchall()]
# Last.fm columns
if 'lastfm_match_status' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN lastfm_match_status TEXT")
if 'lastfm_last_attempted' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN lastfm_last_attempted TIMESTAMP")
if 'lastfm_listeners' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN lastfm_listeners INTEGER")
if 'lastfm_playcount' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN lastfm_playcount INTEGER")
if 'lastfm_tags' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN lastfm_tags TEXT")
if 'lastfm_url' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN lastfm_url TEXT")
# Genius columns
if 'genius_id' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN genius_id TEXT")
if 'genius_match_status' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN genius_match_status TEXT")
if 'genius_last_attempted' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN genius_last_attempted TIMESTAMP")
if 'genius_lyrics' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN genius_lyrics TEXT")
if 'genius_description' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN genius_description TEXT")
if 'genius_url' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN genius_url TEXT")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_lastfm_status ON tracks (lastfm_match_status)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_genius_id ON tracks (genius_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_genius_status ON tracks (genius_match_status)")
# One-time reset: clear all Genius matches due to blind-fallback bug in search
# The old search_artist/search_song returned the first result with no name validation,
# causing wrong matches. This reset lets the fixed worker re-enrich everything.
cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='_genius_search_fix_applied'")
if not cursor.fetchone():
logger.info("Applying one-time Genius search fix: resetting all artist and track matches for re-enrichment")
cursor.execute("""
UPDATE artists SET
genius_id = NULL, genius_match_status = NULL, genius_last_attempted = NULL,
genius_description = NULL, genius_alt_names = NULL, genius_url = NULL
WHERE genius_match_status IS NOT NULL
""")
artist_count = cursor.rowcount
cursor.execute("""
UPDATE tracks SET
genius_id = NULL, genius_match_status = NULL, genius_last_attempted = NULL,
genius_lyrics = NULL, genius_description = NULL, genius_url = NULL
WHERE genius_match_status IS NOT NULL
""")
track_count = cursor.rowcount
cursor.execute("CREATE TABLE _genius_search_fix_applied (applied_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP)")
logger.info(f"Genius search fix applied: reset {artist_count} artists and {track_count} tracks")
except Exception as e:
logger.error(f"Error adding Last.fm/Genius enrichment columns: {e}")
# Don't raise - this is a migration, database can still function
def _add_tidal_qobuz_enrichment_columns(self, cursor):
"""Add Tidal and Qobuz enrichment tracking columns to artists, albums, tracks"""
try:
# --- Artists ---
cursor.execute("PRAGMA table_info(artists)")
artists_columns = [column[1] for column in cursor.fetchall()]
if 'tidal_id' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN tidal_id TEXT")
if 'tidal_match_status' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN tidal_match_status TEXT")
if 'tidal_last_attempted' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN tidal_last_attempted TIMESTAMP")
if 'qobuz_id' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN qobuz_id TEXT")
if 'qobuz_match_status' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN qobuz_match_status TEXT")
if 'qobuz_last_attempted' not in artists_columns:
cursor.execute("ALTER TABLE artists ADD COLUMN qobuz_last_attempted TIMESTAMP")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_tidal_id ON artists (tidal_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_tidal_status ON artists (tidal_match_status)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_qobuz_id ON artists (qobuz_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_qobuz_status ON artists (qobuz_match_status)")
# --- Albums ---
cursor.execute("PRAGMA table_info(albums)")
albums_columns = [column[1] for column in cursor.fetchall()]
if 'tidal_id' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN tidal_id TEXT")
if 'tidal_match_status' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN tidal_match_status TEXT")
if 'tidal_last_attempted' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN tidal_last_attempted TIMESTAMP")
if 'qobuz_id' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN qobuz_id TEXT")
if 'qobuz_match_status' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN qobuz_match_status TEXT")
if 'qobuz_last_attempted' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN qobuz_last_attempted TIMESTAMP")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_tidal_id ON albums (tidal_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_tidal_status ON albums (tidal_match_status)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_qobuz_id ON albums (qobuz_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_qobuz_status ON albums (qobuz_match_status)")
# --- Albums (extra metadata columns) ---
if 'upc' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN upc TEXT")
if 'copyright' not in albums_columns:
cursor.execute("ALTER TABLE albums ADD COLUMN copyright TEXT")
# --- Tracks ---
cursor.execute("PRAGMA table_info(tracks)")
tracks_columns = [column[1] for column in cursor.fetchall()]
if 'tidal_id' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN tidal_id TEXT")
if 'tidal_match_status' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN tidal_match_status TEXT")
if 'tidal_last_attempted' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN tidal_last_attempted TIMESTAMP")
if 'qobuz_id' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN qobuz_id TEXT")
if 'qobuz_match_status' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN qobuz_match_status TEXT")
if 'qobuz_last_attempted' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN qobuz_last_attempted TIMESTAMP")
if 'isrc' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN isrc TEXT")
if 'copyright' not in tracks_columns:
cursor.execute("ALTER TABLE tracks ADD COLUMN copyright TEXT")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_tidal_id ON tracks (tidal_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_tidal_status ON tracks (tidal_match_status)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_qobuz_id ON tracks (qobuz_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_qobuz_status ON tracks (qobuz_match_status)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_isrc ON tracks (isrc)")
except Exception as e:
logger.error(f"Error adding Tidal/Qobuz enrichment columns: {e}")
# Don't raise - this is a migration, database can still function
def _add_retag_tables(self, cursor):
"""Add retag tool tables for tracking processed downloads"""
try:
cursor.execute("""
CREATE TABLE IF NOT EXISTS retag_groups (
id INTEGER PRIMARY KEY AUTOINCREMENT,
group_type TEXT NOT NULL DEFAULT 'album',
artist_name TEXT NOT NULL,
album_name TEXT NOT NULL,
image_url TEXT,
spotify_album_id TEXT,
itunes_album_id TEXT,
total_tracks INTEGER DEFAULT 1,
release_date TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
cursor.execute("""
CREATE TABLE IF NOT EXISTS retag_tracks (
id INTEGER PRIMARY KEY AUTOINCREMENT,
group_id INTEGER NOT NULL,
track_number INTEGER,
disc_number INTEGER DEFAULT 1,
title TEXT NOT NULL,
file_path TEXT NOT NULL,
file_format TEXT,
spotify_track_id TEXT,
itunes_track_id TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (group_id) REFERENCES retag_groups (id) ON DELETE CASCADE
)
""")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_retag_groups_artist ON retag_groups (artist_name)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_retag_tracks_group ON retag_tracks (group_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_retag_tracks_path ON retag_tracks (file_path)")
except Exception as e:
logger.error(f"Error adding retag tables: {e}")
def _add_profile_support(self, cursor):
"""Add multi-profile support: profiles table + profile_id on per-profile tables"""
try:
# Check if migration already applied
cursor.execute("SELECT value FROM metadata WHERE key = 'profiles_migration_v1' LIMIT 1")
already_migrated = cursor.fetchone() is not None
# Even if already migrated, ensure profile_id columns exist on all tables
# (another migration may have rebuilt a table without profile_id)
tables_needing_profile_id = [
'watchlist_artists', 'wishlist_tracks', 'similar_artists',
'discovery_pool', 'discovery_recent_albums', 'discovery_curated_playlists',
'bubble_snapshots', 'recent_releases'
]
for table in tables_needing_profile_id:
try:
cursor.execute(f"PRAGMA table_info({table})")
columns = [col[1] for col in cursor.fetchall()]
if 'profile_id' not in columns:
cursor.execute(f"ALTER TABLE {table} ADD COLUMN profile_id INTEGER DEFAULT 1")
logger.info(f"Repaired missing profile_id column on {table}")
except Exception:
pass
if already_migrated:
return # Rest of migration already done
logger.info("Adding multi-profile support...")
# 1. Create profiles table
cursor.execute("""
CREATE TABLE IF NOT EXISTS profiles (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL UNIQUE,
avatar_color TEXT DEFAULT '#6366f1',
pin_hash TEXT,
is_admin INTEGER NOT NULL DEFAULT 0,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
# 2. Insert default admin profile
cursor.execute("""
INSERT OR IGNORE INTO profiles (id, name, is_admin)
VALUES (1, 'Admin', 1)
""")
# 3. profile_id columns already ensured above (before early-return guard)
# 4. Rebuild watchlist_artists to change UNIQUE constraint
# Old: UNIQUE(spotify_artist_id)
# New: UNIQUE(profile_id, spotify_artist_id)
try:
cursor.execute("SELECT sql FROM sqlite_master WHERE type='table' AND name='watchlist_artists'")
create_sql = cursor.fetchone()
if create_sql and 'UNIQUE(profile_id' not in create_sql[0]:
# Get current columns for the table
cursor.execute("PRAGMA table_info(watchlist_artists)")
cols_info = cursor.fetchall()
col_names = [c[1] for c in cols_info]
# Drop leftover temp table from any previous failed migration
cursor.execute("DROP TABLE IF EXISTS watchlist_artists_new")
cursor.execute("""
CREATE TABLE watchlist_artists_new (
id INTEGER PRIMARY KEY AUTOINCREMENT,
spotify_artist_id TEXT,
artist_name TEXT NOT NULL,
date_added TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
last_scan_timestamp TIMESTAMP,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
image_url TEXT,
include_albums INTEGER DEFAULT 1,
include_eps INTEGER DEFAULT 1,
include_singles INTEGER DEFAULT 1,
include_live INTEGER DEFAULT 0,
include_remixes INTEGER DEFAULT 0,
include_acoustic INTEGER DEFAULT 0,
include_compilations INTEGER DEFAULT 0,
itunes_artist_id TEXT,
profile_id INTEGER DEFAULT 1,
UNIQUE(profile_id, spotify_artist_id),
UNIQUE(profile_id, itunes_artist_id)
)
""")
# Build column list for INSERT (only columns that exist in both)
new_cols = ['id', 'spotify_artist_id', 'artist_name', 'date_added',
'last_scan_timestamp', 'created_at', 'updated_at', 'image_url',
'include_albums', 'include_eps', 'include_singles', 'include_live',
'include_remixes', 'include_acoustic', 'include_compilations',
'itunes_artist_id', 'profile_id']
shared_cols = [c for c in new_cols if c in col_names]
cols_str = ', '.join(shared_cols)
cursor.execute(f"INSERT INTO watchlist_artists_new ({cols_str}) SELECT {cols_str} FROM watchlist_artists")
cursor.execute("DROP TABLE watchlist_artists")
cursor.execute("ALTER TABLE watchlist_artists_new RENAME TO watchlist_artists")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_watchlist_spotify_id ON watchlist_artists (spotify_artist_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_watchlist_profile ON watchlist_artists (profile_id)")
logger.info("Rebuilt watchlist_artists with profile-scoped UNIQUE constraints")
except Exception as e:
logger.error(f"Error rebuilding watchlist_artists for profiles: {e}")
# 5. Rebuild wishlist_tracks for profile-scoped uniqueness
try:
cursor.execute("SELECT sql FROM sqlite_master WHERE type='table' AND name='wishlist_tracks'")
create_sql = cursor.fetchone()
if create_sql and 'UNIQUE(profile_id' not in create_sql[0]:
cursor.execute("DROP TABLE IF EXISTS wishlist_tracks_new")
cursor.execute("""
CREATE TABLE wishlist_tracks_new (
id INTEGER PRIMARY KEY AUTOINCREMENT,
spotify_track_id TEXT NOT NULL,
spotify_data TEXT NOT NULL,
failure_reason TEXT,
retry_count INTEGER DEFAULT 0,
last_attempted TIMESTAMP,
date_added TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
source_type TEXT DEFAULT 'unknown',
source_info TEXT,
profile_id INTEGER DEFAULT 1,
UNIQUE(profile_id, spotify_track_id)
)
""")
cursor.execute("PRAGMA table_info(wishlist_tracks)")
old_cols = [c[1] for c in cursor.fetchall()]
new_cols = ['id', 'spotify_track_id', 'spotify_data', 'failure_reason',
'retry_count', 'last_attempted', 'date_added', 'source_type',
'source_info', 'profile_id']
shared_cols = [c for c in new_cols if c in old_cols]
cols_str = ', '.join(shared_cols)
cursor.execute(f"INSERT INTO wishlist_tracks_new ({cols_str}) SELECT {cols_str} FROM wishlist_tracks")
cursor.execute("DROP TABLE wishlist_tracks")
cursor.execute("ALTER TABLE wishlist_tracks_new RENAME TO wishlist_tracks")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_wishlist_spotify_id ON wishlist_tracks (spotify_track_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_wishlist_profile ON wishlist_tracks (profile_id)")
logger.info("Rebuilt wishlist_tracks with profile-scoped UNIQUE constraints")
except Exception as e:
logger.error(f"Error rebuilding wishlist_tracks for profiles: {e}")
# 6. Rebuild bubble_snapshots for profile-scoped PRIMARY KEY
try:
cursor.execute("SELECT sql FROM sqlite_master WHERE type='table' AND name='bubble_snapshots'")
create_sql = cursor.fetchone()
if create_sql and 'profile_id' in [c[1] for c in (cursor.execute("PRAGMA table_info(bubble_snapshots)").fetchall())]:
cursor.execute("DROP TABLE IF EXISTS bubble_snapshots_new")
cursor.execute("""
CREATE TABLE bubble_snapshots_new (
id INTEGER PRIMARY KEY AUTOINCREMENT,
type TEXT NOT NULL,
data TEXT NOT NULL,
timestamp TEXT NOT NULL,
snapshot_id TEXT NOT NULL,
profile_id INTEGER DEFAULT 1,
UNIQUE(profile_id, type)
)
""")
cursor.execute("""
INSERT INTO bubble_snapshots_new (type, data, timestamp, snapshot_id, profile_id)
SELECT type, data, timestamp, snapshot_id, profile_id FROM bubble_snapshots
""")
cursor.execute("DROP TABLE bubble_snapshots")
cursor.execute("ALTER TABLE bubble_snapshots_new RENAME TO bubble_snapshots")
logger.info("Rebuilt bubble_snapshots with profile-scoped UNIQUE constraints")
except Exception as e:
logger.error(f"Error rebuilding bubble_snapshots for profiles: {e}")
# 7. Rebuild discovery_curated_playlists for profile-scoped uniqueness
try:
cursor.execute("SELECT sql FROM sqlite_master WHERE type='table' AND name='discovery_curated_playlists'")
create_sql = cursor.fetchone()
if create_sql and 'UNIQUE(profile_id' not in create_sql[0]:
cursor.execute("DROP TABLE IF EXISTS discovery_curated_playlists_new")
cursor.execute("""
CREATE TABLE discovery_curated_playlists_new (
id INTEGER PRIMARY KEY AUTOINCREMENT,
playlist_type TEXT NOT NULL,
track_ids_json TEXT NOT NULL,
curated_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
profile_id INTEGER DEFAULT 1,
UNIQUE(profile_id, playlist_type)
)
""")
cursor.execute("PRAGMA table_info(discovery_curated_playlists)")
old_cols = [c[1] for c in cursor.fetchall()]
new_cols = ['id', 'playlist_type', 'track_ids_json', 'curated_date', 'profile_id']
shared_cols = [c for c in new_cols if c in old_cols]
cols_str = ', '.join(shared_cols)
cursor.execute(f"INSERT INTO discovery_curated_playlists_new ({cols_str}) SELECT {cols_str} FROM discovery_curated_playlists")
cursor.execute("DROP TABLE discovery_curated_playlists")
cursor.execute("ALTER TABLE discovery_curated_playlists_new RENAME TO discovery_curated_playlists")
logger.info("Rebuilt discovery_curated_playlists with profile-scoped UNIQUE constraints")
except Exception as e:
logger.error(f"Error rebuilding discovery_curated_playlists for profiles: {e}")
# 8. Add indexes for profile_id on remaining tables
index_pairs = [
('idx_similar_artists_profile', 'similar_artists'),
('idx_discovery_pool_profile', 'discovery_pool'),
('idx_discovery_recent_albums_profile', 'discovery_recent_albums'),
('idx_recent_releases_profile', 'recent_releases'),
]
for idx_name, table in index_pairs:
try:
cursor.execute(f"CREATE INDEX IF NOT EXISTS {idx_name} ON {table} (profile_id)")
except Exception:
pass
# Set migration marker
cursor.execute("""
INSERT OR REPLACE INTO metadata (key, value, updated_at)
VALUES ('profiles_migration_v1', 'true', CURRENT_TIMESTAMP)
""")
logger.info("Multi-profile support migration completed successfully")
except Exception as e:
logger.error(f"Error adding profile support: {e}")
# Don't raise - this is a migration, database can still function
def _add_profile_support_v2(self, cursor):
"""Fix missing profile-scoped UNIQUE constraints on 3 tables (v2 migration)"""
try:
cursor.execute("SELECT value FROM metadata WHERE key = 'profiles_migration_v2' LIMIT 1")
if cursor.fetchone():
return # Already migrated
logger.info("Applying profile support v2 migration...")
# Rebuild discovery_pool: UNIQUE(profile_id, spotify_track_id, itunes_track_id, source)
try:
cursor.execute("SELECT sql FROM sqlite_master WHERE type='table' AND name='discovery_pool'")
create_sql = cursor.fetchone()
if create_sql and 'UNIQUE(profile_id' not in create_sql[0]:
cursor.execute("PRAGMA table_info(discovery_pool)")
old_cols = [c[1] for c in cursor.fetchall()]
cursor.execute("DROP TABLE IF EXISTS discovery_pool_new")
cursor.execute("""
CREATE TABLE discovery_pool_new (
id INTEGER PRIMARY KEY AUTOINCREMENT,
spotify_track_id TEXT,
spotify_album_id TEXT,
spotify_artist_id TEXT,
itunes_track_id TEXT,
itunes_album_id TEXT,
itunes_artist_id TEXT,
source TEXT NOT NULL DEFAULT 'spotify',
track_name TEXT NOT NULL,
artist_name TEXT NOT NULL,
album_name TEXT NOT NULL,
album_cover_url TEXT,
duration_ms INTEGER,
popularity INTEGER DEFAULT 0,
release_date TEXT,
is_new_release BOOLEAN DEFAULT 0,
track_data_json TEXT NOT NULL,
artist_genres TEXT,
added_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
profile_id INTEGER DEFAULT 1,
UNIQUE(profile_id, spotify_track_id, itunes_track_id, source)
)
""")
new_cols = ['id', 'spotify_track_id', 'spotify_album_id', 'spotify_artist_id',
'itunes_track_id', 'itunes_album_id', 'itunes_artist_id',
'source', 'track_name', 'artist_name', 'album_name', 'album_cover_url',
'duration_ms', 'popularity', 'release_date', 'is_new_release',
'track_data_json', 'artist_genres', 'added_date', 'profile_id']
shared_cols = [c for c in new_cols if c in old_cols]
cols_str = ', '.join(shared_cols)
cursor.execute(f"INSERT INTO discovery_pool_new ({cols_str}) SELECT {cols_str} FROM discovery_pool")
cursor.execute("DROP TABLE discovery_pool")
cursor.execute("ALTER TABLE discovery_pool_new RENAME TO discovery_pool")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_discovery_pool_profile ON discovery_pool (profile_id)")
logger.info("Rebuilt discovery_pool with profile-scoped UNIQUE constraint")
except Exception as e:
logger.error(f"Error rebuilding discovery_pool for profiles v2: {e}")
# Rebuild discovery_recent_albums: UNIQUE(profile_id, album_spotify_id, album_itunes_id, source)
try:
cursor.execute("SELECT sql FROM sqlite_master WHERE type='table' AND name='discovery_recent_albums'")
create_sql = cursor.fetchone()
if create_sql and 'UNIQUE(profile_id' not in create_sql[0]:
cursor.execute("PRAGMA table_info(discovery_recent_albums)")
old_cols = [c[1] for c in cursor.fetchall()]
cursor.execute("DROP TABLE IF EXISTS discovery_recent_albums_new")
cursor.execute("""
CREATE TABLE discovery_recent_albums_new (
id INTEGER PRIMARY KEY AUTOINCREMENT,
album_spotify_id TEXT,
album_itunes_id TEXT,
album_deezer_id TEXT,
artist_spotify_id TEXT,
artist_itunes_id TEXT,
artist_deezer_id TEXT,
source TEXT NOT NULL DEFAULT 'spotify',
album_name TEXT NOT NULL,
artist_name TEXT NOT NULL,
album_cover_url TEXT,
release_date TEXT NOT NULL,
album_type TEXT DEFAULT 'album',
cached_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
profile_id INTEGER DEFAULT 1,
UNIQUE(profile_id, album_spotify_id, album_itunes_id, album_deezer_id, source)
)
""")
new_cols = ['id', 'album_spotify_id', 'album_itunes_id', 'album_deezer_id',
'artist_spotify_id', 'artist_itunes_id', 'artist_deezer_id',
'source', 'album_name', 'artist_name',
'album_cover_url', 'release_date', 'album_type', 'cached_date', 'profile_id']
shared_cols = [c for c in new_cols if c in old_cols]
cols_str = ', '.join(shared_cols)
cursor.execute(f"INSERT INTO discovery_recent_albums_new ({cols_str}) SELECT {cols_str} FROM discovery_recent_albums")
cursor.execute("DROP TABLE discovery_recent_albums")
cursor.execute("ALTER TABLE discovery_recent_albums_new RENAME TO discovery_recent_albums")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_discovery_recent_albums_profile ON discovery_recent_albums (profile_id)")
logger.info("Rebuilt discovery_recent_albums with profile-scoped UNIQUE constraint")
except Exception as e:
logger.error(f"Error rebuilding discovery_recent_albums for profiles v2: {e}")
# Rebuild recent_releases: UNIQUE(profile_id, watchlist_artist_id, album_spotify_id, album_itunes_id)
try:
cursor.execute("SELECT sql FROM sqlite_master WHERE type='table' AND name='recent_releases'")
create_sql = cursor.fetchone()
if create_sql and 'UNIQUE(profile_id' not in create_sql[0]:
cursor.execute("PRAGMA table_info(recent_releases)")
old_cols = [c[1] for c in cursor.fetchall()]
cursor.execute("DROP TABLE IF EXISTS recent_releases_new")
cursor.execute("""
CREATE TABLE recent_releases_new (
id INTEGER PRIMARY KEY AUTOINCREMENT,
watchlist_artist_id INTEGER NOT NULL,
album_spotify_id TEXT,
album_itunes_id TEXT,
source TEXT NOT NULL DEFAULT 'spotify',
album_name TEXT NOT NULL,
release_date TEXT NOT NULL,
album_cover_url TEXT,
track_count INTEGER DEFAULT 0,
added_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
profile_id INTEGER DEFAULT 1,
UNIQUE(profile_id, watchlist_artist_id, album_spotify_id, album_itunes_id)
)
""")
new_cols = ['id', 'watchlist_artist_id', 'album_spotify_id', 'album_itunes_id',
'source', 'album_name', 'release_date', 'album_cover_url',
'track_count', 'added_date', 'profile_id']
shared_cols = [c for c in new_cols if c in old_cols]
cols_str = ', '.join(shared_cols)
cursor.execute(f"INSERT INTO recent_releases_new ({cols_str}) SELECT {cols_str} FROM recent_releases")
cursor.execute("DROP TABLE recent_releases")
cursor.execute("ALTER TABLE recent_releases_new RENAME TO recent_releases")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_recent_releases_profile ON recent_releases (profile_id)")
logger.info("Rebuilt recent_releases with profile-scoped UNIQUE constraint")
except Exception as e:
logger.error(f"Error rebuilding recent_releases for profiles v2: {e}")
# Set migration marker
cursor.execute("""
INSERT OR REPLACE INTO metadata (key, value, updated_at)
VALUES ('profiles_migration_v2', 'true', CURRENT_TIMESTAMP)
""")
logger.info("Profile support v2 migration completed successfully")
except Exception as e:
logger.error(f"Error in profile support v2 migration: {e}")
def _add_profile_support_v3(self, cursor):
"""Fix similar_artists UNIQUE constraint and make discovery_pool_metadata per-profile (v3 migration)"""
try:
cursor.execute("SELECT value FROM metadata WHERE key = 'profiles_migration_v3' LIMIT 1")
already_migrated = cursor.fetchone() is not None
# Always check if similar_artists actually has profile_id column
# (an older bug could strip it even after v3 migration ran)
cursor.execute("PRAGMA table_info(similar_artists)")
sa_cols = [c[1] for c in cursor.fetchall()]
needs_repair = 'profile_id' not in sa_cols
if already_migrated and not needs_repair:
return # Already migrated and table is intact
if needs_repair:
logger.info("Repairing similar_artists table — profile_id column missing, rebuilding...")
else:
logger.info("Applying profile support v3 migration...")
# Rebuild similar_artists: UNIQUE(profile_id, source_artist_id, similar_artist_name)
try:
cursor.execute("SELECT sql FROM sqlite_master WHERE type='table' AND name='similar_artists'")
create_sql = cursor.fetchone()
if create_sql and ('UNIQUE(profile_id' not in create_sql[0] or needs_repair):
cursor.execute("PRAGMA table_info(similar_artists)")
old_cols = [c[1] for c in cursor.fetchall()]
cursor.execute("DROP TABLE IF EXISTS similar_artists_new")
cursor.execute("""
CREATE TABLE similar_artists_new (
id INTEGER PRIMARY KEY AUTOINCREMENT,
source_artist_id TEXT NOT NULL,
similar_artist_spotify_id TEXT,
similar_artist_itunes_id TEXT,
similar_artist_name TEXT NOT NULL,
similarity_rank INTEGER DEFAULT 1,
occurrence_count INTEGER DEFAULT 1,
last_updated TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
last_featured TIMESTAMP,
profile_id INTEGER DEFAULT 1,
UNIQUE(profile_id, source_artist_id, similar_artist_name)
)
""")
new_cols = ['id', 'source_artist_id', 'similar_artist_spotify_id',
'similar_artist_itunes_id', 'similar_artist_name',
'similarity_rank', 'occurrence_count', 'last_updated',
'last_featured', 'profile_id']
shared_cols = [c for c in new_cols if c in old_cols]
cols_str = ', '.join(shared_cols)
cursor.execute(f"INSERT INTO similar_artists_new ({cols_str}) SELECT {cols_str} FROM similar_artists")
cursor.execute("DROP TABLE similar_artists")
cursor.execute("ALTER TABLE similar_artists_new RENAME TO similar_artists")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_similar_artists_profile ON similar_artists (profile_id)")
logger.info("Rebuilt similar_artists with profile-scoped UNIQUE constraint")
except Exception as e:
logger.error(f"Error rebuilding similar_artists for profiles v3: {e}")
# Make discovery_pool_metadata per-profile: change CHECK(id=1) to use profile_id as key
try:
cursor.execute("SELECT sql FROM sqlite_master WHERE type='table' AND name='discovery_pool_metadata'")
create_sql = cursor.fetchone()
if create_sql and 'profile_id' not in create_sql[0]:
cursor.execute("DROP TABLE IF EXISTS discovery_pool_metadata_new")
cursor.execute("""
CREATE TABLE discovery_pool_metadata_new (
id INTEGER PRIMARY KEY AUTOINCREMENT,
profile_id INTEGER NOT NULL DEFAULT 1 UNIQUE,
last_populated_timestamp TIMESTAMP NOT NULL,
track_count INTEGER DEFAULT 0,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
# Migrate existing row (profile 1)
cursor.execute("""
INSERT OR IGNORE INTO discovery_pool_metadata_new
(profile_id, last_populated_timestamp, track_count, updated_at)
SELECT 1, last_populated_timestamp, track_count, updated_at
FROM discovery_pool_metadata WHERE id = 1
""")
cursor.execute("DROP TABLE discovery_pool_metadata")
cursor.execute("ALTER TABLE discovery_pool_metadata_new RENAME TO discovery_pool_metadata")
logger.info("Rebuilt discovery_pool_metadata with per-profile support")
except Exception as e:
logger.error(f"Error rebuilding discovery_pool_metadata for profiles v3: {e}")
# Set migration marker
cursor.execute("""
INSERT OR REPLACE INTO metadata (key, value, updated_at)
VALUES ('profiles_migration_v3', 'true', CURRENT_TIMESTAMP)
""")
logger.info("Profile support v3 migration completed successfully")
except Exception as e:
logger.error(f"Error in profile support v3 migration: {e}")
def _add_profile_support_v4(self, cursor):
"""Add avatar_url column to profiles table (v4 migration)"""
try:
cursor.execute("SELECT value FROM metadata WHERE key = 'profiles_migration_v4' LIMIT 1")
if cursor.fetchone():
return # Already migrated
logger.info("Applying profile support v4 migration...")
# Add avatar_url column
try:
cursor.execute("ALTER TABLE profiles ADD COLUMN avatar_url TEXT DEFAULT NULL")
except sqlite3.OperationalError:
pass # Column already exists
cursor.execute("""
INSERT OR REPLACE INTO metadata (key, value) VALUES ('profiles_migration_v4', '1')
""")
logger.info("Profile support v4 migration completed successfully")
except Exception as e:
logger.error(f"Error in profile support v4 migration: {e}")
def _add_profile_settings(self, cursor):
"""Add home_page, allowed_pages, can_download columns to profiles table"""
try:
cursor.execute("SELECT value FROM metadata WHERE key = 'profiles_migration_settings' LIMIT 1")
if cursor.fetchone():
return # Already migrated
logger.info("Applying profile settings migration...")
for col_sql in [
"ALTER TABLE profiles ADD COLUMN home_page TEXT DEFAULT NULL",
"ALTER TABLE profiles ADD COLUMN allowed_pages TEXT DEFAULT NULL",
"ALTER TABLE profiles ADD COLUMN can_download INTEGER DEFAULT 1",
]:
try:
cursor.execute(col_sql)
except sqlite3.OperationalError:
pass # Column already exists
cursor.execute("""
INSERT OR REPLACE INTO metadata (key, value) VALUES ('profiles_migration_settings', '1')
""")
logger.info("Profile settings migration completed successfully")
except Exception as e:
logger.error(f"Error in profile settings migration: {e}")
def _add_profile_listenbrainz_support(self, cursor):
"""Add per-profile ListenBrainz credentials and scope playlist cache by profile"""
try:
cursor.execute("SELECT value FROM metadata WHERE key = 'profiles_listenbrainz_v1' LIMIT 1")
if cursor.fetchone():
return # Already migrated
logger.info("Applying per-profile ListenBrainz migration...")
# Per-profile LB credentials on profiles table
for col_sql in [
"ALTER TABLE profiles ADD COLUMN listenbrainz_token TEXT DEFAULT NULL",
"ALTER TABLE profiles ADD COLUMN listenbrainz_base_url TEXT DEFAULT NULL",
"ALTER TABLE profiles ADD COLUMN listenbrainz_username TEXT DEFAULT NULL",
]:
try:
cursor.execute(col_sql)
except sqlite3.OperationalError:
pass # Column already exists
# Recreate listenbrainz_playlists with profile_id and compound unique constraint
# (SQLite can't ALTER constraints, so we must recreate the table)
cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='listenbrainz_playlists'")
if cursor.fetchone():
cursor.execute("""
CREATE TABLE IF NOT EXISTS listenbrainz_playlists_new (
id INTEGER PRIMARY KEY AUTOINCREMENT,
playlist_mbid TEXT NOT NULL,
title TEXT NOT NULL,
creator TEXT,
playlist_type TEXT NOT NULL,
track_count INTEGER DEFAULT 0,
annotation_data TEXT,
profile_id INTEGER DEFAULT 1,
last_updated TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
cached_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
UNIQUE(playlist_mbid, profile_id)
)
""")
cursor.execute("""
INSERT OR IGNORE INTO listenbrainz_playlists_new
(id, playlist_mbid, title, creator, playlist_type, track_count, annotation_data, profile_id, last_updated, cached_date)
SELECT id, playlist_mbid, title, creator, playlist_type, track_count, annotation_data, 1, last_updated, cached_date
FROM listenbrainz_playlists
""")
cursor.execute("DROP TABLE listenbrainz_playlists")
cursor.execute("ALTER TABLE listenbrainz_playlists_new RENAME TO listenbrainz_playlists")
# Clean up playlists that lost their tracks during table recreation
# (track playlist_id foreign keys may reference stale IDs).
# This forces a fresh re-fetch from ListenBrainz on next page load.
cursor.execute("""
DELETE FROM listenbrainz_playlists
WHERE id NOT IN (SELECT DISTINCT playlist_id FROM listenbrainz_tracks)
""")
cleaned = cursor.rowcount
if cleaned:
logger.info(f"Cleaned up {cleaned} stale playlists (will re-fetch from ListenBrainz)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_lb_playlists_profile ON listenbrainz_playlists (profile_id)")
cursor.execute("""
INSERT OR REPLACE INTO metadata (key, value) VALUES ('profiles_listenbrainz_v1', '1')
""")
logger.info("Per-profile ListenBrainz migration completed successfully")
except Exception as e:
logger.error(f"Error in per-profile ListenBrainz migration: {e}")
def set_profile_listenbrainz(self, profile_id: int, token: str, base_url: str = '', username: str = '') -> bool:
"""Save encrypted ListenBrainz credentials for a profile"""
try:
from config.settings import config_manager
encrypted_token = config_manager._encrypt_value(token) if token else None
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
UPDATE profiles
SET listenbrainz_token = ?, listenbrainz_base_url = ?, listenbrainz_username = ?,
updated_at = CURRENT_TIMESTAMP
WHERE id = ?
""", (encrypted_token, base_url or None, username or None, profile_id))
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error setting ListenBrainz credentials for profile {profile_id}: {e}")
return False
def get_profile_listenbrainz(self, profile_id: int) -> Dict[str, Any]:
"""Get decrypted ListenBrainz credentials for a profile"""
try:
from config.settings import config_manager
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
SELECT listenbrainz_token, listenbrainz_base_url, listenbrainz_username
FROM profiles WHERE id = ?
""", (profile_id,))
row = cursor.fetchone()
if not row:
return {'token': None, 'base_url': None, 'username': None}
token_raw = row[0]
token = config_manager._decrypt_value(token_raw) if token_raw else None
return {
'token': token,
'base_url': row[1] or '',
'username': row[2] or '',
}
except Exception as e:
logger.error(f"Error getting ListenBrainz credentials for profile {profile_id}: {e}")
return {'token': None, 'base_url': None, 'username': None}
def clear_profile_listenbrainz(self, profile_id: int) -> bool:
"""Clear ListenBrainz credentials for a profile"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
UPDATE profiles
SET listenbrainz_token = NULL, listenbrainz_base_url = NULL, listenbrainz_username = NULL,
updated_at = CURRENT_TIMESTAMP
WHERE id = ?
""", (profile_id,))
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error clearing ListenBrainz credentials for profile {profile_id}: {e}")
return False
def get_profiles_with_listenbrainz(self) -> List[Dict[str, Any]]:
"""Get all profiles that have ListenBrainz tokens configured"""
try:
from config.settings import config_manager
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
SELECT id, listenbrainz_token, listenbrainz_base_url
FROM profiles WHERE listenbrainz_token IS NOT NULL
""")
results = []
for row in cursor.fetchall():
token = config_manager._decrypt_value(row[1]) if row[1] else None
if token:
results.append({
'id': row[0],
'token': token,
'base_url': row[2] or '',
})
return results
except Exception as e:
logger.error(f"Error getting profiles with ListenBrainz tokens: {e}")
return []
# ── Per-profile service credentials (Spotify, Tidal, server library) ──
def _add_profile_service_credentials(self, cursor):
"""Add per-profile Spotify, Tidal, and media server library columns to profiles table."""
try:
cursor.execute("SELECT value FROM metadata WHERE key = 'profiles_services_v1' LIMIT 1")
if cursor.fetchone():
return # Already migrated
logger.info("Applying per-profile service credentials migration...")
columns = [
# Spotify per-profile
"ALTER TABLE profiles ADD COLUMN spotify_client_id TEXT DEFAULT NULL",
"ALTER TABLE profiles ADD COLUMN spotify_client_secret TEXT DEFAULT NULL",
"ALTER TABLE profiles ADD COLUMN spotify_redirect_uri TEXT DEFAULT NULL",
"ALTER TABLE profiles ADD COLUMN spotify_access_token TEXT DEFAULT NULL",
"ALTER TABLE profiles ADD COLUMN spotify_refresh_token TEXT DEFAULT NULL",
# Tidal per-profile
"ALTER TABLE profiles ADD COLUMN tidal_access_token TEXT DEFAULT NULL",
"ALTER TABLE profiles ADD COLUMN tidal_refresh_token TEXT DEFAULT NULL",
# Media server library selection per-profile
"ALTER TABLE profiles ADD COLUMN plex_library_id TEXT DEFAULT NULL",
"ALTER TABLE profiles ADD COLUMN jellyfin_user_id TEXT DEFAULT NULL",
"ALTER TABLE profiles ADD COLUMN jellyfin_library_id TEXT DEFAULT NULL",
"ALTER TABLE profiles ADD COLUMN navidrome_library_id TEXT DEFAULT NULL",
]
for sql in columns:
try:
cursor.execute(sql)
except sqlite3.OperationalError:
pass # Column already exists
cursor.execute("""
INSERT OR REPLACE INTO metadata (key, value) VALUES ('profiles_services_v1', '1')
""")
logger.info("Per-profile service credentials migration completed")
except Exception as e:
logger.error(f"Error in per-profile service credentials migration: {e}")
def _add_soul_id_columns(self, cursor):
"""Add soul_id columns to artists, albums, and tracks tables."""
try:
# Artists: soul_id
cursor.execute("PRAGMA table_info(artists)")
artist_cols = [c[1] for c in cursor.fetchall()]
if 'soul_id' not in artist_cols:
cursor.execute("ALTER TABLE artists ADD COLUMN soul_id TEXT DEFAULT NULL")
logger.info("Added soul_id column to artists table")
# Albums: soul_id
cursor.execute("PRAGMA table_info(albums)")
album_cols = [c[1] for c in cursor.fetchall()]
if 'soul_id' not in album_cols:
cursor.execute("ALTER TABLE albums ADD COLUMN soul_id TEXT DEFAULT NULL")
logger.info("Added soul_id column to albums table")
# Tracks: soul_id (song-level) + album_soul_id (release-specific)
cursor.execute("PRAGMA table_info(tracks)")
track_cols = [c[1] for c in cursor.fetchall()]
if 'soul_id' not in track_cols:
cursor.execute("ALTER TABLE tracks ADD COLUMN soul_id TEXT DEFAULT NULL")
logger.info("Added soul_id column to tracks table")
if 'album_soul_id' not in track_cols:
cursor.execute("ALTER TABLE tracks ADD COLUMN album_soul_id TEXT DEFAULT NULL")
logger.info("Added album_soul_id column to tracks table")
# Indexes for lookups
cursor.execute("CREATE INDEX IF NOT EXISTS idx_artists_soul_id ON artists (soul_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_albums_soul_id ON albums (soul_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_soul_id ON tracks (soul_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_tracks_album_soul_id ON tracks (album_soul_id)")
except Exception as e:
logger.error(f"Error adding soul_id columns: {e}")
def _add_listening_history_table(self, cursor):
"""Create listening_history table and add play_count/last_played to tracks."""
try:
cursor.execute("""
CREATE TABLE IF NOT EXISTS listening_history (
id INTEGER PRIMARY KEY AUTOINCREMENT,
track_id TEXT,
title TEXT NOT NULL,
artist TEXT,
album TEXT,
played_at TIMESTAMP NOT NULL,
duration_ms INTEGER DEFAULT 0,
server_source TEXT,
db_track_id INTEGER,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_listening_played_at ON listening_history (played_at)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_listening_artist ON listening_history (artist)")
cursor.execute("CREATE UNIQUE INDEX IF NOT EXISTS idx_listening_dedup ON listening_history (track_id, played_at, server_source)")
# Add play_count and last_played to tracks table
cursor.execute("PRAGMA table_info(tracks)")
track_cols = [c[1] for c in cursor.fetchall()]
if 'play_count' not in track_cols:
cursor.execute("ALTER TABLE tracks ADD COLUMN play_count INTEGER DEFAULT 0")
logger.info("Added play_count column to tracks table")
if 'last_played' not in track_cols:
cursor.execute("ALTER TABLE tracks ADD COLUMN last_played TIMESTAMP")
logger.info("Added last_played column to tracks table")
# Add scrobble tracking columns to listening_history
cursor.execute("PRAGMA table_info(listening_history)")
lh_cols = [c[1] for c in cursor.fetchall()]
if 'scrobbled_lastfm' not in lh_cols:
cursor.execute("ALTER TABLE listening_history ADD COLUMN scrobbled_lastfm INTEGER DEFAULT 0")
logger.info("Added scrobbled_lastfm column to listening_history")
if 'scrobbled_listenbrainz' not in lh_cols:
cursor.execute("ALTER TABLE listening_history ADD COLUMN scrobbled_listenbrainz INTEGER DEFAULT 0")
logger.info("Added scrobbled_listenbrainz column to listening_history")
except Exception as e:
logger.error(f"Error creating listening_history table: {e}")
def insert_listening_events(self, events):
"""Bulk insert listening events, skipping duplicates."""
if not events:
return 0
conn = None
inserted = 0
try:
conn = self._get_connection()
cursor = conn.cursor()
for event in events:
try:
cursor.execute("""
INSERT OR IGNORE INTO listening_history
(track_id, title, artist, album, played_at, duration_ms, server_source, db_track_id)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)
""", (
event.get('track_id'),
event.get('title', ''),
event.get('artist', ''),
event.get('album', ''),
event.get('played_at'),
event.get('duration_ms', 0),
event.get('server_source', ''),
event.get('db_track_id'),
))
if cursor.rowcount > 0:
inserted += 1
except Exception:
pass
conn.commit()
return inserted
except Exception as e:
logger.error(f"Error inserting listening events: {e}")
return 0
finally:
if conn:
conn.close()
def update_track_play_counts(self, counts):
"""Update play_count and last_played on the tracks table.
Args:
counts: list of dicts with {db_track_id, play_count, last_played}
"""
if not counts:
return
conn = None
try:
conn = self._get_connection()
cursor = conn.cursor()
for item in counts:
cursor.execute("""
UPDATE tracks SET play_count = ?, last_played = ?
WHERE id = ?
""", (item.get('play_count', 0), item.get('last_played'), item.get('db_track_id')))
conn.commit()
except Exception as e:
logger.error(f"Error updating track play counts: {e}")
finally:
if conn:
conn.close()
def get_listening_stats(self, time_range='all'):
"""Get aggregate listening stats for a time range.
Args:
time_range: '7d', '30d', '12m', or 'all'
Returns:
Dict with total_plays, total_time_ms, unique_artists, unique_albums, unique_tracks
"""
conn = None
try:
conn = self._get_connection()
cursor = conn.cursor()
where = self._listening_time_filter(time_range)
cursor.execute(f"""
SELECT
COUNT(*) as total_plays,
COALESCE(SUM(duration_ms), 0) as total_time_ms,
COUNT(DISTINCT artist) as unique_artists,
COUNT(DISTINCT album) as unique_albums,
COUNT(DISTINCT title || '|||' || COALESCE(artist, '')) as unique_tracks
FROM listening_history
{where}
""")
row = cursor.fetchone()
return {
'total_plays': row[0] or 0,
'total_time_ms': row[1] or 0,
'unique_artists': row[2] or 0,
'unique_albums': row[3] or 0,
'unique_tracks': row[4] or 0,
}
except Exception as e:
logger.error(f"Error getting listening stats: {e}")
return {'total_plays': 0, 'total_time_ms': 0, 'unique_artists': 0, 'unique_albums': 0, 'unique_tracks': 0}
finally:
if conn:
conn.close()
def get_top_artists(self, time_range='all', limit=10):
"""Get top artists by play count."""
conn = None
try:
conn = self._get_connection()
cursor = conn.cursor()
where = self._listening_time_filter(time_range)
cursor.execute(f"""
SELECT artist, COUNT(*) as play_count
FROM listening_history
{where}
AND artist IS NOT NULL AND artist != ''
GROUP BY LOWER(artist)
ORDER BY play_count DESC
LIMIT ?
""", (limit,))
return [{'name': row[0], 'play_count': row[1]} for row in cursor.fetchall()]
except Exception as e:
logger.error(f"Error getting top artists: {e}")
return []
finally:
if conn:
conn.close()
def get_top_albums(self, time_range='all', limit=10):
"""Get top albums by play count."""
conn = None
try:
conn = self._get_connection()
cursor = conn.cursor()
where = self._listening_time_filter(time_range)
cursor.execute(f"""
SELECT album, artist, COUNT(*) as play_count
FROM listening_history
{where}
AND album IS NOT NULL AND album != ''
GROUP BY LOWER(album), LOWER(artist)
ORDER BY play_count DESC
LIMIT ?
""", (limit,))
return [{'name': row[0], 'artist': row[1], 'play_count': row[2]} for row in cursor.fetchall()]
except Exception as e:
logger.error(f"Error getting top albums: {e}")
return []
finally:
if conn:
conn.close()
def get_top_tracks(self, time_range='all', limit=10):
"""Get top tracks by play count."""
conn = None
try:
conn = self._get_connection()
cursor = conn.cursor()
where = self._listening_time_filter(time_range)
cursor.execute(f"""
SELECT title, artist, album, COUNT(*) as play_count
FROM listening_history
{where}
AND title IS NOT NULL AND title != ''
GROUP BY LOWER(title), LOWER(artist)
ORDER BY play_count DESC
LIMIT ?
""", (limit,))
return [{'name': row[0], 'artist': row[1], 'album': row[2], 'play_count': row[3]} for row in cursor.fetchall()]
except Exception as e:
logger.error(f"Error getting top tracks: {e}")
return []
finally:
if conn:
conn.close()
def get_listening_timeline(self, time_range='30d', granularity='day'):
"""Get play count per time period for chart rendering."""
conn = None
try:
conn = self._get_connection()
cursor = conn.cursor()
where = self._listening_time_filter(time_range)
if granularity == 'month':
date_fmt = '%Y-%m'
elif granularity == 'week':
date_fmt = '%Y-W%W'
else:
date_fmt = '%Y-%m-%d'
cursor.execute(f"""
SELECT strftime('{date_fmt}', played_at) as period, COUNT(*) as plays
FROM listening_history
{where}
GROUP BY period
ORDER BY period ASC
""")
return [{'date': row[0], 'plays': row[1]} for row in cursor.fetchall()]
except Exception as e:
logger.error(f"Error getting listening timeline: {e}")
return []
finally:
if conn:
conn.close()
def get_genre_breakdown(self, time_range='all'):
"""Get genre distribution by play count (joins listening_history to tracks/artists)."""
conn = None
try:
conn = self._get_connection()
cursor = conn.cursor()
where = self._listening_time_filter(time_range, alias='lh')
cursor.execute(f"""
SELECT a.genres, COUNT(*) as play_count
FROM listening_history lh
JOIN tracks t ON t.id = lh.db_track_id
JOIN artists a ON a.id = t.artist_id
{where}
AND a.genres IS NOT NULL AND a.genres != ''
GROUP BY a.genres
ORDER BY play_count DESC
LIMIT 50
""")
# Parse genre JSON and aggregate
genre_counts = {}
for row in cursor.fetchall():
genres_str = row[0]
count = row[1]
try:
import json
genres = json.loads(genres_str)
if isinstance(genres, list):
for g in genres:
genre_counts[g] = genre_counts.get(g, 0) + count
else:
genre_counts[str(genres)] = genre_counts.get(str(genres), 0) + count
except (ValueError, TypeError):
for g in genres_str.split(','):
g = g.strip()
if g:
genre_counts[g] = genre_counts.get(g, 0) + count
total = sum(genre_counts.values()) or 1
result = sorted(
[{'genre': g, 'play_count': c, 'percentage': round(c / total * 100, 1)} for g, c in genre_counts.items()],
key=lambda x: x['play_count'], reverse=True
)[:15]
return result
except Exception as e:
logger.error(f"Error getting genre breakdown: {e}")
return []
finally:
if conn:
conn.close()
def get_library_health(self):
"""Get library health metrics."""
conn = None
try:
conn = self._get_connection()
cursor = conn.cursor()
# Total tracks
cursor.execute("SELECT COUNT(*) FROM tracks WHERE id IS NOT NULL")
total_tracks = (cursor.fetchone() or [0])[0]
# Unplayed
cursor.execute("SELECT COUNT(*) FROM tracks WHERE (play_count IS NULL OR play_count = 0) AND id IS NOT NULL")
unplayed = (cursor.fetchone() or [0])[0]
# Format breakdown
cursor.execute("""
SELECT
CASE
WHEN LOWER(file_path) LIKE '%.flac' THEN 'FLAC'
WHEN LOWER(file_path) LIKE '%.mp3' THEN 'MP3'
WHEN LOWER(file_path) LIKE '%.opus' THEN 'Opus'
WHEN LOWER(file_path) LIKE '%.m4a' THEN 'AAC'
WHEN LOWER(file_path) LIKE '%.ogg' THEN 'OGG'
WHEN LOWER(file_path) LIKE '%.wav' THEN 'WAV'
ELSE 'Other'
END as format,
COUNT(*) as count
FROM tracks
WHERE file_path IS NOT NULL AND file_path != ''
GROUP BY format
ORDER BY count DESC
""")
format_breakdown = {row[0]: row[1] for row in cursor.fetchall()}
# Total duration
cursor.execute("SELECT COALESCE(SUM(duration), 0) FROM tracks WHERE id IS NOT NULL")
total_duration_ms = (cursor.fetchone() or [0])[0]
# Enrichment coverage
enrichment = {}
for service, col in [('spotify', 'spotify_artist_id'), ('musicbrainz', 'musicbrainz_id'),
('deezer', 'deezer_id'), ('lastfm', 'lastfm_url'),
('itunes', 'itunes_artist_id'), ('audiodb', 'audiodb_id'),
('genius', 'genius_id'), ('tidal', 'tidal_id'),
('qobuz', 'qobuz_id')]:
try:
cursor.execute(f"SELECT COUNT(*) FROM artists WHERE {col} IS NOT NULL AND {col} != ''")
matched = (cursor.fetchone() or [0])[0]
cursor.execute("SELECT COUNT(*) FROM artists WHERE id IS NOT NULL")
total_artists = (cursor.fetchone() or [0])[0]
enrichment[service] = round(matched / total_artists * 100, 1) if total_artists else 0
except Exception:
enrichment[service] = 0
return {
'total_tracks': total_tracks,
'unplayed_count': unplayed,
'unplayed_percentage': round(unplayed / total_tracks * 100, 1) if total_tracks else 0,
'format_breakdown': format_breakdown,
'total_duration_ms': total_duration_ms,
'enrichment_coverage': enrichment,
}
except Exception as e:
logger.error(f"Error getting library health: {e}")
return {}
finally:
if conn:
conn.close()
def get_db_storage_stats(self):
"""Get database storage breakdown by table."""
import os
conn = None
try:
# Total file size
total_size = 0
try:
total_size = os.path.getsize(str(self.database_path))
except Exception:
pass
conn = self._get_connection()
cursor = conn.cursor()
# Try dbstat first (real byte sizes)
tables = []
method = 'row_count'
try:
cursor.execute("""
SELECT name, SUM(pgsize) as size
FROM dbstat
WHERE name IN (SELECT name FROM sqlite_master WHERE type='table')
GROUP BY name
ORDER BY size DESC
""")
tables = [{'name': r[0], 'size': r[1]} for r in cursor.fetchall()]
method = 'dbstat'
except Exception:
# Fallback: row counts per table
cursor.execute("SELECT name FROM sqlite_master WHERE type='table' ORDER BY name")
for row in cursor.fetchall():
tbl = row[0]
try:
cursor.execute(f"SELECT COUNT(*) FROM [{tbl}]")
count = cursor.fetchone()[0]
tables.append({'name': tbl, 'size': count})
except Exception:
pass
tables.sort(key=lambda x: x['size'], reverse=True)
return {
'tables': tables,
'total_file_size': total_size,
'method': method,
}
except Exception as e:
logger.error(f"Error getting db storage stats: {e}")
return {'tables': [], 'total_file_size': 0, 'method': 'error'}
finally:
if conn:
conn.close()
@staticmethod
def _listening_time_filter(time_range, alias=''):
"""Build a WHERE clause for time-range filtering."""
prefix = f"{alias}." if alias else ""
if time_range == '7d':
return f"WHERE {prefix}played_at >= datetime('now', '-7 days')"
elif time_range == '30d':
return f"WHERE {prefix}played_at >= datetime('now', '-30 days')"
elif time_range == '12m':
return f"WHERE {prefix}played_at >= datetime('now', '-12 months')"
else:
return "WHERE 1=1"
def set_profile_spotify(self, profile_id: int, client_id: str, client_secret: str,
redirect_uri: str = '') -> bool:
"""Save Spotify API credentials for a profile (encrypted)."""
try:
from config.settings import config_manager
enc_id = config_manager._encrypt_value(client_id) if client_id else None
enc_secret = config_manager._encrypt_value(client_secret) if client_secret else None
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
UPDATE profiles
SET spotify_client_id = ?, spotify_client_secret = ?, spotify_redirect_uri = ?,
updated_at = CURRENT_TIMESTAMP
WHERE id = ?
""", (enc_id, enc_secret, redirect_uri or None, profile_id))
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error setting Spotify credentials for profile {profile_id}: {e}")
return False
def get_profile_spotify(self, profile_id: int) -> Dict[str, Any]:
"""Get decrypted Spotify credentials for a profile."""
try:
from config.settings import config_manager
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
SELECT spotify_client_id, spotify_client_secret, spotify_redirect_uri,
spotify_access_token, spotify_refresh_token
FROM profiles WHERE id = ?
""", (profile_id,))
row = cursor.fetchone()
if not row or not row[0]:
return {}
return {
'client_id': config_manager._decrypt_value(row[0]) if row[0] else '',
'client_secret': config_manager._decrypt_value(row[1]) if row[1] else '',
'redirect_uri': row[2] or '',
'access_token': config_manager._decrypt_value(row[3]) if row[3] else '',
'refresh_token': config_manager._decrypt_value(row[4]) if row[4] else '',
}
except Exception as e:
logger.error(f"Error getting Spotify credentials for profile {profile_id}: {e}")
return {}
def set_profile_spotify_tokens(self, profile_id: int, access_token: str, refresh_token: str) -> bool:
"""Save Spotify OAuth tokens for a profile (from auth callback)."""
try:
from config.settings import config_manager
enc_access = config_manager._encrypt_value(access_token) if access_token else None
enc_refresh = config_manager._encrypt_value(refresh_token) if refresh_token else None
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
UPDATE profiles
SET spotify_access_token = ?, spotify_refresh_token = ?,
updated_at = CURRENT_TIMESTAMP
WHERE id = ?
""", (enc_access, enc_refresh, profile_id))
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error setting Spotify tokens for profile {profile_id}: {e}")
return False
def set_profile_server_library(self, profile_id: int, server_type: str,
library_id: str = None, user_id: str = None) -> bool:
"""Save media server library/user selection for a profile."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
if server_type == 'plex':
cursor.execute("UPDATE profiles SET plex_library_id = ?, updated_at = CURRENT_TIMESTAMP WHERE id = ?",
(library_id, profile_id))
elif server_type == 'jellyfin':
cursor.execute("UPDATE profiles SET jellyfin_user_id = ?, jellyfin_library_id = ?, updated_at = CURRENT_TIMESTAMP WHERE id = ?",
(user_id, library_id, profile_id))
elif server_type == 'navidrome':
cursor.execute("UPDATE profiles SET navidrome_library_id = ?, updated_at = CURRENT_TIMESTAMP WHERE id = ?",
(library_id, profile_id))
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error setting server library for profile {profile_id}: {e}")
return False
def get_profile_server_library(self, profile_id: int) -> Dict[str, Any]:
"""Get media server library/user selection for a profile."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
SELECT plex_library_id, jellyfin_user_id, jellyfin_library_id, navidrome_library_id
FROM profiles WHERE id = ?
""", (profile_id,))
row = cursor.fetchone()
if not row:
return {}
return {
'plex_library_id': row[0],
'jellyfin_user_id': row[1],
'jellyfin_library_id': row[2],
'navidrome_library_id': row[3],
}
except Exception as e:
logger.error(f"Error getting server library for profile {profile_id}: {e}")
return {}
def _add_spotify_library_cache_table(self, cursor):
"""Create spotify_library_cache table for caching user's saved Spotify albums"""
try:
cursor.execute("SELECT value FROM metadata WHERE key = 'spotify_library_cache_v1' LIMIT 1")
if cursor.fetchone():
return # Already migrated
logger.info("Creating spotify_library_cache table...")
cursor.execute("""
CREATE TABLE IF NOT EXISTS spotify_library_cache (
id INTEGER PRIMARY KEY AUTOINCREMENT,
spotify_album_id TEXT NOT NULL,
album_name TEXT NOT NULL,
artist_name TEXT NOT NULL,
artist_id TEXT,
release_date TEXT,
total_tracks INTEGER DEFAULT 0,
album_type TEXT DEFAULT 'album',
image_url TEXT,
date_saved TEXT,
cached_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
profile_id INTEGER DEFAULT 1,
UNIQUE(spotify_album_id, profile_id)
)
""")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_spotify_library_album_id ON spotify_library_cache (spotify_album_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_spotify_library_profile ON spotify_library_cache (profile_id)")
cursor.execute("INSERT OR REPLACE INTO metadata (key, value) VALUES ('spotify_library_cache_v1', '1')")
logger.info("spotify_library_cache table created successfully")
except Exception as e:
logger.error(f"Error creating spotify_library_cache table: {e}")
def _add_metadata_cache_tables(self, cursor):
"""Create metadata_cache_entities and metadata_cache_searches tables for universal API response caching"""
try:
cursor.execute("SELECT value FROM metadata WHERE key = 'metadata_cache_v1' LIMIT 1")
if cursor.fetchone():
return # Already migrated
logger.info("Creating metadata cache tables...")
cursor.execute("""
CREATE TABLE IF NOT EXISTS metadata_cache_entities (
id INTEGER PRIMARY KEY AUTOINCREMENT,
source TEXT NOT NULL,
entity_type TEXT NOT NULL,
entity_id TEXT NOT NULL,
name TEXT NOT NULL,
image_url TEXT,
external_urls TEXT,
genres TEXT,
popularity INTEGER,
followers INTEGER,
artist_name TEXT,
artist_id TEXT,
release_date TEXT,
total_tracks INTEGER,
album_type TEXT,
label TEXT,
album_name TEXT,
album_id TEXT,
duration_ms INTEGER,
track_number INTEGER,
disc_number INTEGER,
explicit INTEGER,
isrc TEXT,
preview_url TEXT,
raw_json TEXT NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
last_accessed_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
access_count INTEGER DEFAULT 1,
ttl_days INTEGER DEFAULT 30,
UNIQUE(source, entity_type, entity_id)
)
""")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_mce_lookup ON metadata_cache_entities (source, entity_type, entity_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_mce_name ON metadata_cache_entities (entity_type, name COLLATE NOCASE)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_mce_artist ON metadata_cache_entities (artist_name COLLATE NOCASE)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_mce_accessed ON metadata_cache_entities (last_accessed_at)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_mce_source ON metadata_cache_entities (source)")
# Composite indexes for browse queries (entity_type + sort column)
cursor.execute("CREATE INDEX IF NOT EXISTS idx_mce_browse ON metadata_cache_entities (entity_type, source, last_accessed_at DESC)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_mce_browse_name ON metadata_cache_entities (entity_type, source, name COLLATE NOCASE)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_mce_browse_pop ON metadata_cache_entities (entity_type, source, popularity DESC)")
# Stats query index (covers GROUP BY entity_type, source with count)
cursor.execute("CREATE INDEX IF NOT EXISTS idx_mce_stats ON metadata_cache_entities (entity_type, source, access_count)")
cursor.execute("""
CREATE TABLE IF NOT EXISTS metadata_cache_searches (
id INTEGER PRIMARY KEY AUTOINCREMENT,
source TEXT NOT NULL,
search_type TEXT NOT NULL,
query_normalized TEXT NOT NULL,
query_original TEXT NOT NULL,
result_ids TEXT NOT NULL,
result_count INTEGER NOT NULL,
search_limit INTEGER,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
last_accessed_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
access_count INTEGER DEFAULT 1,
ttl_days INTEGER DEFAULT 7,
UNIQUE(source, search_type, query_normalized, search_limit)
)
""")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_mcs_lookup ON metadata_cache_searches (source, search_type, query_normalized)")
cursor.execute("INSERT OR REPLACE INTO metadata (key, value) VALUES ('metadata_cache_v1', '1')")
logger.info("Metadata cache tables created successfully")
except Exception as e:
logger.error(f"Error creating metadata cache tables: {e}")
def _add_repair_worker_tables(self, cursor):
"""Create repair_findings and repair_job_runs tables for the multi-job repair worker."""
try:
cursor.execute("SELECT value FROM metadata WHERE key = 'repair_worker_v2' LIMIT 1")
if cursor.fetchone():
return # Already migrated
logger.info("Creating repair worker v2 tables...")
cursor.execute("""
CREATE TABLE IF NOT EXISTS repair_findings (
id INTEGER PRIMARY KEY AUTOINCREMENT,
job_id TEXT NOT NULL,
finding_type TEXT NOT NULL,
severity TEXT NOT NULL DEFAULT 'info',
status TEXT NOT NULL DEFAULT 'pending',
entity_type TEXT,
entity_id TEXT,
file_path TEXT,
title TEXT NOT NULL,
description TEXT,
details_json TEXT DEFAULT '{}',
user_action TEXT,
resolved_at TIMESTAMP,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_rf_job ON repair_findings (job_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_rf_status ON repair_findings (status)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_rf_type ON repair_findings (finding_type)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_rf_created ON repair_findings (created_at)")
cursor.execute("""
CREATE TABLE IF NOT EXISTS repair_job_runs (
id INTEGER PRIMARY KEY AUTOINCREMENT,
job_id TEXT NOT NULL,
started_at TIMESTAMP NOT NULL,
finished_at TIMESTAMP,
duration_seconds REAL,
items_scanned INTEGER DEFAULT 0,
findings_created INTEGER DEFAULT 0,
auto_fixed INTEGER DEFAULT 0,
errors INTEGER DEFAULT 0,
status TEXT NOT NULL DEFAULT 'running'
)
""")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_rjr_job ON repair_job_runs (job_id)")
cursor.execute("INSERT OR REPLACE INTO metadata (key, value) VALUES ('repair_worker_v2', '1')")
logger.info("Repair worker v2 tables created successfully")
except Exception as e:
logger.error(f"Error creating repair worker v2 tables: {e}")
# ── Profile CRUD ──────────────────────────────────────────────────
def get_all_profiles(self) -> List[Dict[str, Any]]:
"""Get all profiles"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='profiles'")
if not cursor.fetchone():
return [{'id': 1, 'name': 'Admin', 'avatar_color': '#6366f1', 'avatar_url': None, 'is_admin': True, 'has_pin': False}]
cursor.execute("SELECT * FROM profiles ORDER BY id")
rows = cursor.fetchall()
columns = [desc[0] for desc in cursor.description]
results = []
for row in rows:
ap_raw = row['allowed_pages'] if 'allowed_pages' in columns else None
results.append({
'id': row['id'],
'name': row['name'],
'avatar_color': row['avatar_color'],
'avatar_url': row['avatar_url'] if 'avatar_url' in columns else None,
'is_admin': bool(row['is_admin']),
'has_pin': row['pin_hash'] is not None,
'home_page': row['home_page'] if 'home_page' in columns else None,
'allowed_pages': json.loads(ap_raw) if ap_raw else None,
'can_download': bool(row['can_download']) if 'can_download' in columns else True,
'has_listenbrainz': row['listenbrainz_token'] is not None if 'listenbrainz_token' in columns else False,
'listenbrainz_username': row['listenbrainz_username'] if 'listenbrainz_username' in columns else None,
'created_at': row['created_at'],
'updated_at': row['updated_at'],
})
return results
except Exception as e:
logger.error(f"Error getting profiles: {e}")
return [{'id': 1, 'name': 'Admin', 'avatar_color': '#6366f1', 'avatar_url': None, 'is_admin': True, 'has_pin': False}]
def get_profile(self, profile_id: int) -> Optional[Dict[str, Any]]:
"""Get a single profile by ID"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("SELECT * FROM profiles WHERE id = ?", (profile_id,))
row = cursor.fetchone()
if row:
columns = [desc[0] for desc in cursor.description]
ap_raw = row['allowed_pages'] if 'allowed_pages' in columns else None
return {
'id': row['id'],
'name': row['name'],
'avatar_color': row['avatar_color'],
'avatar_url': row['avatar_url'] if 'avatar_url' in columns else None,
'is_admin': bool(row['is_admin']),
'has_pin': row['pin_hash'] is not None,
'home_page': row['home_page'] if 'home_page' in columns else None,
'allowed_pages': json.loads(ap_raw) if ap_raw else None,
'can_download': bool(row['can_download']) if 'can_download' in columns else True,
'has_listenbrainz': row['listenbrainz_token'] is not None if 'listenbrainz_token' in columns else False,
'listenbrainz_username': row['listenbrainz_username'] if 'listenbrainz_username' in columns else None,
'created_at': row['created_at'],
'updated_at': row['updated_at'],
}
return None
except Exception as e:
logger.error(f"Error getting profile {profile_id}: {e}")
return None
def create_profile(self, name: str, avatar_color: str = '#6366f1',
pin_hash: Optional[str] = None, is_admin: bool = False,
avatar_url: Optional[str] = None, home_page: Optional[str] = None,
allowed_pages: Optional[list] = None, can_download: bool = True) -> Optional[int]:
"""Create a new profile. Returns new profile ID or None on error."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
ap_json = json.dumps(allowed_pages) if allowed_pages is not None else None
cursor.execute("""
INSERT INTO profiles (name, avatar_color, pin_hash, is_admin, avatar_url, home_page, allowed_pages, can_download)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)
""", (name, avatar_color, pin_hash, int(is_admin), avatar_url, home_page, ap_json, int(can_download)))
conn.commit()
return cursor.lastrowid
except sqlite3.IntegrityError:
logger.warning(f"Profile name '{name}' already exists")
return None
except Exception as e:
logger.error(f"Error creating profile: {e}")
return None
def update_profile(self, profile_id: int, **kwargs) -> bool:
"""Update profile fields. Accepts: name, avatar_color, avatar_url, pin_hash, is_admin, home_page, allowed_pages, can_download."""
allowed = {'name', 'avatar_color', 'avatar_url', 'pin_hash', 'is_admin', 'home_page', 'allowed_pages', 'can_download'}
updates = {k: v for k, v in kwargs.items() if k in allowed}
# Serialize allowed_pages list to JSON string for storage
if 'allowed_pages' in updates:
v = updates['allowed_pages']
updates['allowed_pages'] = json.dumps(v) if v is not None else None
if not updates:
return False
try:
with self._get_connection() as conn:
cursor = conn.cursor()
set_clause = ', '.join(f"{k} = ?" for k in updates)
values = list(updates.values())
values.append(profile_id)
cursor.execute(
f"UPDATE profiles SET {set_clause}, updated_at = CURRENT_TIMESTAMP WHERE id = ?",
values
)
conn.commit()
return cursor.rowcount > 0
except sqlite3.IntegrityError:
logger.warning(f"Profile update failed (duplicate name?)")
return False
except Exception as e:
logger.error(f"Error updating profile {profile_id}: {e}")
return False
def delete_profile(self, profile_id: int) -> bool:
"""Delete a profile and all its per-profile data."""
if profile_id == 1:
return False # Cannot delete the default admin profile
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Delete per-profile data from all tables
for table in ['watchlist_artists', 'wishlist_tracks', 'similar_artists',
'discovery_pool', 'discovery_recent_albums', 'discovery_curated_playlists',
'bubble_snapshots', 'recent_releases']:
try:
cursor.execute(f"DELETE FROM {table} WHERE profile_id = ?", (profile_id,))
except Exception:
pass
cursor.execute("DELETE FROM profiles WHERE id = ?", (profile_id,))
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error deleting profile {profile_id}: {e}")
return False
def verify_profile_pin(self, profile_id: int, pin: str) -> bool:
"""Verify a profile's PIN"""
try:
from werkzeug.security import check_password_hash
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("SELECT pin_hash FROM profiles WHERE id = ?", (profile_id,))
row = cursor.fetchone()
if not row or not row['pin_hash']:
return True # No PIN set = always valid
return check_password_hash(row['pin_hash'], pin)
except Exception as e:
logger.error(f"Error verifying PIN for profile {profile_id}: {e}")
return False
def close(self):
"""Close database connection (no-op since we create connections per operation)"""
# Each operation creates and closes its own connection, so nothing to do here
pass
def get_statistics(self) -> Dict[str, int]:
"""Get database statistics for all servers (legacy method)"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("SELECT COUNT(DISTINCT name) FROM artists")
artist_count = cursor.fetchone()[0]
cursor.execute("SELECT COUNT(*) FROM albums")
album_count = cursor.fetchone()[0]
cursor.execute("SELECT COUNT(*) FROM tracks")
track_count = cursor.fetchone()[0]
return {
'artists': artist_count,
'albums': album_count,
'tracks': track_count
}
except Exception as e:
logger.error(f"Error getting database statistics: {e}")
return {'artists': 0, 'albums': 0, 'tracks': 0}
def get_statistics_for_server(self, server_source: str = None) -> Dict[str, int]:
"""Get database statistics filtered by server source"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
if server_source:
# Get counts for specific server (deduplicate by name like general count)
cursor.execute("SELECT COUNT(DISTINCT name) FROM artists WHERE server_source = ?", (server_source,))
artist_count = cursor.fetchone()[0]
cursor.execute("SELECT COUNT(*) FROM albums WHERE server_source = ?", (server_source,))
album_count = cursor.fetchone()[0]
cursor.execute("SELECT COUNT(*) FROM tracks WHERE server_source = ?", (server_source,))
track_count = cursor.fetchone()[0]
else:
# Get total counts (all servers)
cursor.execute("SELECT COUNT(*) FROM artists")
artist_count = cursor.fetchone()[0]
cursor.execute("SELECT COUNT(*) FROM albums")
album_count = cursor.fetchone()[0]
cursor.execute("SELECT COUNT(*) FROM tracks")
track_count = cursor.fetchone()[0]
return {
'artists': artist_count,
'albums': album_count,
'tracks': track_count
}
except Exception as e:
logger.error(f"Error getting database statistics for {server_source}: {e}")
return {'artists': 0, 'albums': 0, 'tracks': 0}
def clear_all_data(self):
"""Clear all data from database (for full refresh) - DEPRECATED: Use clear_server_data instead"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("DELETE FROM tracks")
cursor.execute("DELETE FROM albums")
cursor.execute("DELETE FROM artists")
conn.commit()
# VACUUM to actually shrink the database file and reclaim disk space
logger.info("Vacuuming database to reclaim disk space...")
cursor.execute("VACUUM")
logger.info("All database data cleared and file compacted")
except Exception as e:
logger.error(f"Error clearing database: {e}")
raise
def clear_server_data(self, server_source: str):
"""Clear data for specific server only (server-aware full refresh)"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Delete only data from the specified server
# Order matters: tracks -> albums -> artists (foreign key constraints)
cursor.execute("DELETE FROM tracks WHERE server_source = ?", (server_source,))
tracks_deleted = cursor.rowcount
cursor.execute("DELETE FROM albums WHERE server_source = ?", (server_source,))
albums_deleted = cursor.rowcount
cursor.execute("DELETE FROM artists WHERE server_source = ?", (server_source,))
artists_deleted = cursor.rowcount
conn.commit()
# Only VACUUM if we deleted a significant amount of data
if tracks_deleted > 1000 or albums_deleted > 100:
logger.info("Vacuuming database to reclaim disk space...")
cursor.execute("VACUUM")
logger.info(f"Cleared {server_source} data: {artists_deleted} artists, {albums_deleted} albums, {tracks_deleted} tracks")
# Note: Watchlist and wishlist are preserved as they are server-agnostic
except Exception as e:
logger.error(f"Error clearing {server_source} database data: {e}")
raise
def cleanup_orphaned_records(self) -> Dict[str, int]:
"""Remove artists and albums that have no associated tracks"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Find orphaned artists (no tracks)
cursor.execute("""
SELECT COUNT(*) FROM artists
WHERE id NOT IN (SELECT DISTINCT artist_id FROM tracks WHERE artist_id IS NOT NULL)
""")
orphaned_artists_count = cursor.fetchone()[0]
# Find orphaned albums (no tracks)
cursor.execute("""
SELECT COUNT(*) FROM albums
WHERE id NOT IN (SELECT DISTINCT album_id FROM tracks WHERE album_id IS NOT NULL)
""")
orphaned_albums_count = cursor.fetchone()[0]
# Delete orphaned artists
if orphaned_artists_count > 0:
cursor.execute("""
DELETE FROM artists
WHERE id NOT IN (SELECT DISTINCT artist_id FROM tracks WHERE artist_id IS NOT NULL)
""")
logger.info(f"🧹 Removed {orphaned_artists_count} orphaned artists")
# Delete orphaned albums
if orphaned_albums_count > 0:
cursor.execute("""
DELETE FROM albums
WHERE id NOT IN (SELECT DISTINCT album_id FROM tracks WHERE album_id IS NOT NULL)
""")
logger.info(f"🧹 Removed {orphaned_albums_count} orphaned albums")
conn.commit()
return {
'orphaned_artists_removed': orphaned_artists_count,
'orphaned_albums_removed': orphaned_albums_count
}
except Exception as e:
logger.error(f"Error cleaning up orphaned records: {e}")
return {'orphaned_artists_removed': 0, 'orphaned_albums_removed': 0}
def merge_duplicate_artists(self) -> Dict[str, int]:
"""
Find and merge duplicate artists that share the same name + server_source.
Keeps the artist with the most enrichment data, migrates albums/tracks,
and merges enrichment columns.
"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Find duplicate artist groups (same name + server_source, different IDs)
cursor.execute("""
SELECT name, server_source, GROUP_CONCAT(id) as ids, COUNT(*) as cnt
FROM artists
GROUP BY name, server_source
HAVING cnt > 1
""")
duplicate_groups = cursor.fetchall()
if not duplicate_groups:
logger.debug("🧹 No duplicate artists found")
return {'artists_merged': 0, 'albums_migrated': 0}
total_merged = 0
total_albums_migrated = 0
enrichment_cols = [
'musicbrainz_id', 'musicbrainz_last_attempted', 'musicbrainz_match_status',
'spotify_artist_id', 'spotify_match_status', 'spotify_last_attempted',
'itunes_artist_id', 'itunes_match_status', 'itunes_last_attempted',
'audiodb_id', 'audiodb_match_status', 'audiodb_last_attempted',
'style', 'mood', 'label', 'banner_url',
'deezer_id', 'deezer_match_status', 'deezer_last_attempted',
]
for group in duplicate_groups:
artist_name = group['name']
server_source = group['server_source']
ids = group['ids'].split(',')
logger.info(f"🔄 Merging duplicate artist '{artist_name}' ({server_source}): IDs {ids}")
# Pick the keeper: the one with the most enrichment data
best_id = ids[0]
best_score = 0
for aid in ids:
cursor.execute("SELECT * FROM artists WHERE id = ?", (aid,))
row = cursor.fetchone()
if row:
score = 0
for col in enrichment_cols:
try:
if row[col] is not None:
score += 1
except (IndexError, KeyError):
continue
if score > best_score:
best_score = score
best_id = aid
# Merge enrichment data from all duplicates into the keeper
for aid in ids:
if aid == best_id:
continue
cursor.execute("SELECT * FROM artists WHERE id = ?", (aid,))
donor = cursor.fetchone()
if not donor:
continue
# Fill NULL enrichment columns on keeper from this duplicate
set_parts = []
values = []
for col in enrichment_cols:
try:
donor_val = donor[col]
if donor_val is not None:
# Only fill if keeper's value is NULL
set_parts.append(f"{col} = COALESCE({col}, ?)")
values.append(donor_val)
except (IndexError, KeyError):
continue
if set_parts:
values.append(best_id)
cursor.execute(f"""
UPDATE artists SET {', '.join(set_parts)}
WHERE id = ?
""", values)
# Migrate albums and tracks from duplicate to keeper
cursor.execute("UPDATE albums SET artist_id = ? WHERE artist_id = ?", (best_id, aid))
migrated = cursor.rowcount
total_albums_migrated += migrated
cursor.execute("UPDATE tracks SET artist_id = ? WHERE artist_id = ?", (best_id, aid))
# Delete the duplicate artist
cursor.execute("SELECT COUNT(*) FROM albums WHERE artist_id = ?", (aid,))
remaining = cursor.fetchone()[0]
if remaining == 0:
cursor.execute("DELETE FROM artists WHERE id = ?", (aid,))
total_merged += 1
logger.info(f" Merged '{artist_name}' ID {aid} → {best_id} ({migrated} albums migrated)")
else:
logger.warning(f" Could not delete duplicate {aid}: {remaining} albums still reference it")
conn.commit()
if total_merged > 0:
logger.info(f"🧹 Duplicate merge complete: {total_merged} duplicates merged, {total_albums_migrated} albums migrated")
return {'artists_merged': total_merged, 'albums_migrated': total_albums_migrated}
except Exception as e:
logger.error(f"Error merging duplicate artists: {e}")
return {'artists_merged': 0, 'albums_migrated': 0}
# --- Removal detection helpers ---
def get_all_artist_ids_for_server(self, server_source: str) -> set:
"""Get all artist IDs stored in the database for a specific server."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("SELECT id FROM artists WHERE server_source = ?", (server_source,))
return {row[0] for row in cursor.fetchall()}
except Exception as e:
logger.error(f"Error getting artist IDs for {server_source}: {e}")
return set()
def get_all_album_ids_for_server(self, server_source: str) -> set:
"""Get all album IDs stored in the database for a specific server."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("SELECT id FROM albums WHERE server_source = ?", (server_source,))
return {row[0] for row in cursor.fetchall()}
except Exception as e:
logger.error(f"Error getting album IDs for {server_source}: {e}")
return set()
def get_all_track_ids_for_server(self, server_source: str) -> set:
"""Get all track IDs stored in the database for a specific server."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("SELECT id FROM tracks WHERE server_source = ?", (server_source,))
return {row[0] for row in cursor.fetchall()}
except Exception as e:
logger.error(f"Error getting track IDs for {server_source}: {e}")
return set()
def delete_stale_tracks(self, stale_track_ids: set, server_source: str) -> int:
"""Delete tracks by ID+server_source that no longer exist on the media server.
Processes in batches of 500 for database safety."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
batch_size = 500
tracks_removed = 0
track_list = list(stale_track_ids)
for i in range(0, len(track_list), batch_size):
batch = track_list[i:i + batch_size]
placeholders = ','.join('?' * len(batch))
params = batch + [server_source]
cursor.execute(
f"DELETE FROM tracks WHERE id IN ({placeholders}) AND server_source = ?",
params)
tracks_removed += cursor.rowcount
conn.commit()
if tracks_removed > 0:
logger.info(f"Deep scan stale removal for {server_source}: "
f"{tracks_removed} tracks removed")
return tracks_removed
except Exception as e:
logger.error(f"Error deleting stale tracks for {server_source}: {e}")
return 0
def delete_removed_content(self, removed_artist_ids: set, removed_album_ids: set,
server_source: str):
"""Delete artists and albums that were removed from the media server.
Manually cascades deletes (tracks -> albums -> artists) to match existing patterns."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
batch_size = 500
artists_removed = 0
albums_removed = 0
tracks_removed = 0
# Remove artists and their children
if removed_artist_ids:
artist_list = list(removed_artist_ids)
for i in range(0, len(artist_list), batch_size):
batch = artist_list[i:i + batch_size]
placeholders = ','.join('?' * len(batch))
params = batch + [server_source]
# Delete tracks belonging to these artists
cursor.execute(
f"SELECT COUNT(*) FROM tracks WHERE artist_id IN ({placeholders}) AND server_source = ?",
params)
tracks_removed += cursor.fetchone()[0]
cursor.execute(
f"DELETE FROM tracks WHERE artist_id IN ({placeholders}) AND server_source = ?",
params)
# Delete albums belonging to these artists
cursor.execute(
f"SELECT COUNT(*) FROM albums WHERE artist_id IN ({placeholders}) AND server_source = ?",
params)
albums_removed += cursor.fetchone()[0]
cursor.execute(
f"DELETE FROM albums WHERE artist_id IN ({placeholders}) AND server_source = ?",
params)
# Delete the artists themselves
cursor.execute(
f"DELETE FROM artists WHERE id IN ({placeholders}) AND server_source = ?",
params)
artists_removed += cursor.rowcount
# Remove albums (not already handled by artist cascade above)
if removed_album_ids:
album_list = list(removed_album_ids)
for i in range(0, len(album_list), batch_size):
batch = album_list[i:i + batch_size]
placeholders = ','.join('?' * len(batch))
params = batch + [server_source]
# Delete tracks belonging to these albums
cursor.execute(
f"SELECT COUNT(*) FROM tracks WHERE album_id IN ({placeholders}) AND server_source = ?",
params)
tracks_removed += cursor.fetchone()[0]
cursor.execute(
f"DELETE FROM tracks WHERE album_id IN ({placeholders}) AND server_source = ?",
params)
# Delete the albums themselves
cursor.execute(
f"DELETE FROM albums WHERE id IN ({placeholders}) AND server_source = ?",
params)
albums_removed += cursor.rowcount
conn.commit()
if artists_removed > 0 or albums_removed > 0:
logger.info(f"Removal cleanup for {server_source}: "
f"{artists_removed} artists, {albums_removed} albums, "
f"{tracks_removed} tracks removed")
return {
'artists_removed': artists_removed,
'albums_removed': albums_removed,
'tracks_removed': tracks_removed
}
except Exception as e:
logger.error(f"Error deleting removed content for {server_source}: {e}")
return {'artists_removed': 0, 'albums_removed': 0, 'tracks_removed': 0}
# Artist operations
def insert_or_update_artist(self, plex_artist) -> bool:
"""Insert or update artist from Plex artist object - DEPRECATED: Use insert_or_update_media_artist instead"""
return self.insert_or_update_media_artist(plex_artist, server_source='plex')
def insert_or_update_media_artist(self, artist_obj, server_source: str = 'plex') -> bool:
"""Insert or update artist from media server artist object (Plex or Jellyfin)"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Convert artist ID to string (handles both Plex integer IDs and Jellyfin GUIDs)
artist_id = str(artist_obj.ratingKey)
raw_name = artist_obj.title
# Normalize artist name to handle quote variations and other inconsistencies
name = self._normalize_artist_name(raw_name)
# Debug logging to see if normalization is working
if raw_name != name:
logger.info(f"Artist name normalized: '{raw_name}' -> '{name}'")
thumb_url = getattr(artist_obj, 'thumb', None)
# Only preserve timestamps and flags from summary, not full biography
full_summary = getattr(artist_obj, 'summary', None) or ''
summary = None
if full_summary:
# Extract only our tracking markers (timestamps and ignore flags)
import re
markers = []
# Extract timestamp marker
timestamp_match = re.search(r'-updatedAt\d{4}-\d{2}-\d{2}', full_summary)
if timestamp_match:
markers.append(timestamp_match.group(0))
# Extract ignore flag
if '-IgnoreUpdate' in full_summary:
markers.append('-IgnoreUpdate')
# Only store markers, not full biography
summary = '\n\n'.join(markers) if markers else None
# Get genres (handle both Plex and Jellyfin formats)
genres = []
if hasattr(artist_obj, 'genres') and artist_obj.genres:
genres = [genre.tag if hasattr(genre, 'tag') else str(genre)
for genre in artist_obj.genres]
genres_json = json.dumps(genres) if genres else None
# Check if artist exists with this ID and server source
cursor.execute("SELECT id FROM artists WHERE id = ? AND server_source = ?", (artist_id, server_source))
exists = cursor.fetchone()
if exists:
# Update existing artist
cursor.execute("""
UPDATE artists
SET name = ?, thumb_url = ?, genres = ?, summary = ?, updated_at = CURRENT_TIMESTAMP
WHERE id = ? AND server_source = ?
""", (name, thumb_url, genres_json, summary, artist_id, server_source))
logger.debug(f"Updated existing {server_source} artist: {name} (ID: {artist_id})")
else:
# Before inserting, check if an artist with the same name already exists
# for this server source (ratingKey may have changed after a library rescan)
cursor.execute("SELECT id FROM artists WHERE name = ? AND server_source = ?", (name, server_source))
existing_by_name = cursor.fetchone()
if existing_by_name:
old_id = existing_by_name['id']
# ratingKey changed — migrate old artist to new ID, preserving enrichment data
logger.info(f"🔄 Artist ratingKey migrated: '{name}' ({old_id} → {artist_id})")
# Step 1: Insert new artist record, copying enrichment data from old
enrichment_cols = [
'musicbrainz_id', 'musicbrainz_last_attempted', 'musicbrainz_match_status',
'spotify_artist_id', 'spotify_match_status', 'spotify_last_attempted',
'itunes_artist_id', 'itunes_match_status', 'itunes_last_attempted',
'audiodb_id', 'audiodb_match_status', 'audiodb_last_attempted',
'style', 'mood', 'label', 'banner_url',
'deezer_id', 'deezer_match_status', 'deezer_last_attempted',
]
# Read enrichment data from old artist
cursor.execute("SELECT * FROM artists WHERE id = ? AND server_source = ?", (old_id, server_source))
old_row = cursor.fetchone()
# Insert new artist with fresh server metadata + preserved created_at
old_created = old_row['created_at'] if old_row else None
cursor.execute("""
INSERT INTO artists (id, name, thumb_url, genres, summary, server_source, created_at, updated_at)
VALUES (?, ?, ?, ?, ?, ?, ?, CURRENT_TIMESTAMP)
""", (artist_id, name, thumb_url, genres_json, summary, server_source, old_created))
# Copy enrichment data from old record to new record
if old_row:
set_parts = []
values = []
for col in enrichment_cols:
try:
val = old_row[col]
if val is not None:
set_parts.append(f"{col} = ?")
values.append(val)
except (IndexError, KeyError):
continue # Column doesn't exist in this DB version
if set_parts:
values.append(artist_id)
cursor.execute(f"""
UPDATE artists SET {', '.join(set_parts)}
WHERE id = ?
""", values)
# Step 2: Migrate album and track references to new artist ID
cursor.execute("UPDATE albums SET artist_id = ? WHERE artist_id = ?", (artist_id, old_id))
migrated_albums = cursor.rowcount
cursor.execute("UPDATE tracks SET artist_id = ? WHERE artist_id = ?", (artist_id, old_id))
migrated_tracks = cursor.rowcount
# Step 3: Safely delete old artist (verify no remaining references first)
cursor.execute("SELECT COUNT(*) FROM albums WHERE artist_id = ?", (old_id,))
remaining = cursor.fetchone()[0]
if remaining == 0:
cursor.execute("DELETE FROM artists WHERE id = ? AND server_source = ?", (old_id, server_source))
else:
logger.warning(f"Could not delete old artist {old_id}: {remaining} albums still reference it")
if migrated_albums > 0 or migrated_tracks > 0:
logger.info(f" Migrated {migrated_albums} albums, {migrated_tracks} tracks to new ID")
else:
# Genuinely new artist — insert fresh record
cursor.execute("""
INSERT INTO artists (id, name, thumb_url, genres, summary, server_source)
VALUES (?, ?, ?, ?, ?, ?)
""", (artist_id, name, thumb_url, genres_json, summary, server_source))
logger.debug(f"Inserted new {server_source} artist: {name} (ID: {artist_id})")
conn.commit()
rows_affected = cursor.rowcount
if rows_affected == 0:
logger.warning(f"Database insertion returned 0 rows affected for {server_source} artist: {name} (ID: {artist_id})")
return True
except Exception as e:
logger.error(f"Error inserting/updating {server_source} artist {getattr(artist_obj, 'title', 'Unknown')}: {e}")
return False
def _normalize_artist_name(self, name: str) -> str:
"""
Normalize artist names to handle inconsistencies like quote variations.
Converts Unicode smart quotes to ASCII quotes for consistency.
"""
if not name:
return name
# Replace Unicode smart quotes with regular ASCII quotes
normalized = name.replace('\u201c', '"').replace('\u201d', '"') # Left and right double quotes
normalized = normalized.replace('\u2018', "'").replace('\u2019', "'") # Left and right single quotes
normalized = normalized.replace('\u00ab', '"').replace('\u00bb', '"') # « » guillemets
return normalized
def get_artist(self, artist_id: int) -> Optional[DatabaseArtist]:
"""Get artist by ID"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("SELECT * FROM artists WHERE id = ?", (artist_id,))
row = cursor.fetchone()
if row:
genres = json.loads(row['genres']) if row['genres'] else None
return DatabaseArtist(
id=row['id'],
name=row['name'],
thumb_url=row['thumb_url'],
genres=genres,
summary=row['summary'],
created_at=datetime.fromisoformat(row['created_at']) if row['created_at'] else None,
updated_at=datetime.fromisoformat(row['updated_at']) if row['updated_at'] else None
)
return None
except Exception as e:
logger.error(f"Error getting artist {artist_id}: {e}")
return None
# Album operations
def insert_or_update_album(self, plex_album, artist_id: int) -> bool:
"""Insert or update album from Plex album object - DEPRECATED: Use insert_or_update_media_album instead"""
return self.insert_or_update_media_album(plex_album, artist_id, server_source='plex')
def insert_or_update_media_album(self, album_obj, artist_id: str, server_source: str = 'plex') -> bool:
"""Insert or update album from media server album object (Plex or Jellyfin)"""
try:
conn = self._get_connection()
cursor = conn.cursor()
# Convert album ID to string (handles both Plex integer IDs and Jellyfin GUIDs)
album_id = str(album_obj.ratingKey)
title = album_obj.title
year = getattr(album_obj, 'year', None)
thumb_url = getattr(album_obj, 'thumb', None)
# Get track count and duration (handle different server attributes)
track_count = getattr(album_obj, 'leafCount', None) or getattr(album_obj, 'childCount', None)
duration = getattr(album_obj, 'duration', None)
# Get genres (handle both Plex and Jellyfin formats)
genres = []
if hasattr(album_obj, 'genres') and album_obj.genres:
genres = [genre.tag if hasattr(genre, 'tag') else str(genre)
for genre in album_obj.genres]
genres_json = json.dumps(genres) if genres else None
# Check if album exists with this ID (PRIMARY KEY check)
cursor.execute("SELECT id, server_source FROM albums WHERE id = ?", (album_id,))
existing = cursor.fetchone()
if existing:
# Album exists - update it (update server_source if different)
cursor.execute("""
UPDATE albums
SET artist_id = ?, title = ?, year = ?, thumb_url = ?, genres = ?,
track_count = ?, duration = ?, server_source = ?, updated_at = CURRENT_TIMESTAMP
WHERE id = ?
""", (artist_id, title, year, thumb_url, genres_json, track_count, duration, server_source, album_id))
else:
# Before inserting, check if an album with the same title already exists
# under this artist (ratingKey may have changed after a library rescan)
cursor.execute(
"SELECT id FROM albums WHERE title = ? AND artist_id = ? AND server_source = ?",
(title, artist_id, server_source))
existing_by_title = cursor.fetchone()
if existing_by_title:
old_id = existing_by_title['id']
# ratingKey changed — migrate old album to new ID, preserving enrichment data
logger.info(f"🔄 Album ratingKey migrated: '{title}' ({old_id} → {album_id})")
enrichment_cols = [
'musicbrainz_release_id', 'musicbrainz_last_attempted', 'musicbrainz_match_status',
'spotify_album_id', 'spotify_match_status', 'spotify_last_attempted',
'itunes_album_id', 'itunes_match_status', 'itunes_last_attempted',
'audiodb_id', 'audiodb_match_status', 'audiodb_last_attempted',
'style', 'mood', 'label', 'explicit', 'record_type',
'deezer_id', 'deezer_match_status', 'deezer_last_attempted',
]
# Read enrichment data from old album
cursor.execute("SELECT * FROM albums WHERE id = ?", (old_id,))
old_row = cursor.fetchone()
# Insert new album with fresh server metadata + preserved created_at
old_created = old_row['created_at'] if old_row else None
cursor.execute("""
INSERT INTO albums (id, artist_id, title, year, thumb_url, genres,
track_count, duration, server_source, created_at, updated_at)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, CURRENT_TIMESTAMP)
""", (album_id, artist_id, title, year, thumb_url, genres_json,
track_count, duration, server_source, old_created))
# Copy enrichment data from old record to new record
if old_row:
set_parts = []
values = []
for col in enrichment_cols:
try:
val = old_row[col]
if val is not None:
set_parts.append(f"{col} = ?")
values.append(val)
except (IndexError, KeyError):
continue # Column doesn't exist in this DB version
if set_parts:
values.append(album_id)
cursor.execute(f"""
UPDATE albums SET {', '.join(set_parts)}
WHERE id = ?
""", values)
# Migrate track references to new album ID
cursor.execute("UPDATE tracks SET album_id = ? WHERE album_id = ?", (album_id, old_id))
migrated_tracks = cursor.rowcount
# Safely delete old album (verify no remaining references first)
cursor.execute("SELECT COUNT(*) FROM tracks WHERE album_id = ?", (old_id,))
remaining = cursor.fetchone()[0]
if remaining == 0:
cursor.execute("DELETE FROM albums WHERE id = ?", (old_id,))
else:
logger.warning(f"Could not delete old album {old_id}: {remaining} tracks still reference it")
if migrated_tracks > 0:
logger.info(f" Migrated {migrated_tracks} tracks to new album ID")
else:
# Genuinely new album — insert fresh record
cursor.execute("""
INSERT INTO albums (id, artist_id, title, year, thumb_url, genres, track_count, duration, server_source)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
""", (album_id, artist_id, title, year, thumb_url, genres_json, track_count, duration, server_source))
conn.commit()
return True
except Exception as e:
logger.error(f"Error inserting/updating {server_source} album {getattr(album_obj, 'title', 'Unknown')}: {e}")
return False
def get_albums_by_artist(self, artist_id: int) -> List[DatabaseAlbum]:
"""Get all albums by artist ID"""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("SELECT * FROM albums WHERE artist_id = ? ORDER BY year, title", (artist_id,))
rows = cursor.fetchall()
albums = []
for row in rows:
genres = json.loads(row['genres']) if row['genres'] else None
albums.append(DatabaseAlbum(
id=row['id'],
artist_id=row['artist_id'],
title=row['title'],
year=row['year'],
thumb_url=row['thumb_url'],
genres=genres,
track_count=row['track_count'],
duration=row['duration'],
created_at=datetime.fromisoformat(row['created_at']) if row['created_at'] else None,
updated_at=datetime.fromisoformat(row['updated_at']) if row['updated_at'] else None
))
return albums
except Exception as e:
logger.error(f"Error getting albums for artist {artist_id}: {e}")
return []
# Track operations
def insert_or_update_track(self, plex_track, album_id: int, artist_id: int) -> bool:
"""Insert or update track from Plex track object - DEPRECATED: Use insert_or_update_media_track instead"""
return self.insert_or_update_media_track(plex_track, album_id, artist_id, server_source='plex')
def insert_or_update_media_track(self, track_obj, album_id: str, artist_id: str, server_source: str = 'plex') -> bool:
"""Insert or update track from media server track object (Plex or Jellyfin) with retry logic"""
max_retries = 3
retry_count = 0
while retry_count < max_retries:
try:
conn = self._get_connection()
cursor = conn.cursor()
# Set shorter timeout to prevent long locks
cursor.execute("PRAGMA busy_timeout = 10000") # 10 second timeout
# Convert track ID to string (handles both Plex integer IDs and Jellyfin GUIDs)
track_id = str(track_obj.ratingKey)
title = track_obj.title
track_number = getattr(track_obj, 'trackNumber', None)
duration = getattr(track_obj, 'duration', None)
# Get file path and media info (Plex-specific, Jellyfin may not have these)
file_path = None
bitrate = None
if hasattr(track_obj, 'media') and track_obj.media:
media = track_obj.media[0] if track_obj.media else None
if media:
if hasattr(media, 'parts') and media.parts:
part = media.parts[0]
file_path = getattr(part, 'file', None)
bitrate = getattr(media, 'bitrate', None)
# Fallback for Navidrome/Subsonic tracks
if file_path is None and hasattr(track_obj, 'path') and track_obj.path:
file_path = track_obj.path
if bitrate is None and hasattr(track_obj, 'bitRate') and track_obj.bitRate:
bitrate = track_obj.bitRate
if file_path is None and hasattr(track_obj, 'suffix') and track_obj.suffix:
file_path = f"{track_obj.title}.{track_obj.suffix}"
# Check if track already exists — UPDATE to preserve enrichment columns,
# INSERT only for genuinely new tracks
cursor.execute("SELECT 1 FROM tracks WHERE id = ? LIMIT 1", (track_id,))
is_new_track = cursor.fetchone() is None
if is_new_track:
cursor.execute("""
INSERT INTO tracks
(id, album_id, artist_id, title, track_number, duration, file_path, bitrate, server_source, updated_at)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, CURRENT_TIMESTAMP)
""", (track_id, album_id, artist_id, title, track_number, duration, file_path, bitrate, server_source))
else:
# Update server-provided fields only — preserves spotify_track_id, deezer_id,
# isrc, bpm, musicbrainz IDs, and all other enrichment data
cursor.execute("""
UPDATE tracks
SET album_id = ?, artist_id = ?, title = ?, track_number = ?,
duration = ?, file_path = ?, bitrate = ?, server_source = ?,
updated_at = CURRENT_TIMESTAMP
WHERE id = ?
""", (album_id, artist_id, title, track_number, duration, file_path, bitrate, server_source, track_id))
conn.commit()
# Log new imports to library history
if is_new_track:
try:
cursor.execute("SELECT name FROM artists WHERE id = ?", (artist_id,))
artist_row = cursor.fetchone()
cursor.execute("SELECT title, thumb_url FROM albums WHERE id = ?", (album_id,))
album_row = cursor.fetchone()
self.add_library_history_entry(
event_type='import',
title=title,
artist_name=artist_row[0] if artist_row else None,
album_name=album_row[0] if album_row else None,
server_source=server_source,
file_path=file_path,
thumb_url=album_row[1] if album_row and len(album_row) > 1 else None
)
except Exception:
pass # Non-critical history logging
return True
except Exception as e:
retry_count += 1
if "database is locked" in str(e).lower() and retry_count < max_retries:
logger.warning(f"Database locked on track '{getattr(track_obj, 'title', 'Unknown')}', retrying {retry_count}/{max_retries}...")
time.sleep(0.1 * retry_count) # Exponential backoff
continue
else:
logger.error(f"Error inserting/updating {server_source} track {getattr(track_obj, 'title', 'Unknown')}: {e}")
return False
return False
def track_exists(self, track_id) -> bool:
"""Check if a track exists in the database by ID (supports both int and string IDs)"""
try:
conn = self._get_connection()
cursor = conn.cursor()
# Convert to string to handle both Plex integers and Jellyfin GUIDs
track_id_str = str(track_id)
cursor.execute("SELECT 1 FROM tracks WHERE id = ? LIMIT 1", (track_id_str,))
result = cursor.fetchone()
return result is not None
except Exception as e:
logger.error(f"Error checking if track {track_id} exists: {e}")
return False
def track_exists_by_server(self, track_id, server_source: str) -> bool:
"""Check if a track exists in the database by ID and server source"""
try:
conn = self._get_connection()
cursor = conn.cursor()
# Convert to string to handle both Plex integers and Jellyfin GUIDs
track_id_str = str(track_id)
cursor.execute("SELECT 1 FROM tracks WHERE id = ? AND server_source = ? LIMIT 1", (track_id_str, server_source))
result = cursor.fetchone()
return result is not None
except Exception as e:
logger.error(f"Error checking if track {track_id} exists for server {server_source}: {e}")
return False
def get_track_by_id(self, track_id) -> Optional[DatabaseTrackWithMetadata]:
"""Get a track with artist and album names by ID (supports both int and string IDs)"""
try:
conn = self._get_connection()
cursor = conn.cursor()
# Convert to string to handle both Plex integers and Jellyfin GUIDs
track_id_str = str(track_id)
cursor.execute("""
SELECT t.id, t.album_id, t.artist_id, t.title, t.track_number,
t.duration, t.created_at, t.updated_at,
a.name as artist_name, al.title as album_title
FROM tracks t
JOIN artists a ON t.artist_id = a.id
JOIN albums al ON t.album_id = al.id
WHERE t.id = ?
""", (track_id_str,))
row = cursor.fetchone()
if row:
return DatabaseTrackWithMetadata(
id=row['id'],
album_id=row['album_id'],
artist_id=row['artist_id'],
title=row['title'],
artist_name=row['artist_name'],
album_title=row['album_title'],
track_number=row['track_number'],
duration=row['duration'],
created_at=row['created_at'],
updated_at=row['updated_at']
)
return None
except Exception as e:
logger.error(f"Error getting track {track_id}: {e}")
return None
def get_tracks_by_album(self, album_id: int) -> List[DatabaseTrack]:
"""Get all tracks by album ID"""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("SELECT * FROM tracks WHERE album_id = ? ORDER BY track_number, title", (album_id,))
rows = cursor.fetchall()
tracks = []
for row in rows:
tracks.append(DatabaseTrack(
id=row['id'],
album_id=row['album_id'],
artist_id=row['artist_id'],
title=row['title'],
track_number=row['track_number'],
duration=row['duration'],
file_path=row['file_path'],
bitrate=row['bitrate'],
created_at=datetime.fromisoformat(row['created_at']) if row['created_at'] else None,
updated_at=datetime.fromisoformat(row['updated_at']) if row['updated_at'] else None
))
return tracks
except Exception as e:
logger.error(f"Error getting tracks for album {album_id}: {e}")
return []
def search_artists(self, query: str, limit: int = 50) -> List[DatabaseArtist]:
"""Search artists by name"""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT * FROM artists
WHERE name LIKE ?
ORDER BY name
LIMIT ?
""", (f"%{query}%", limit))
rows = cursor.fetchall()
artists = []
for row in rows:
genres = json.loads(row['genres']) if row['genres'] else None
artists.append(DatabaseArtist(
id=row['id'],
name=row['name'],
thumb_url=row['thumb_url'],
genres=genres,
summary=row['summary'],
created_at=datetime.fromisoformat(row['created_at']) if row['created_at'] else None,
updated_at=datetime.fromisoformat(row['updated_at']) if row['updated_at'] else None
))
return artists
except Exception as e:
logger.error(f"Error searching artists with query '{query}': {e}")
return []
def search_tracks(self, title: str = "", artist: str = "", limit: int = 50, server_source: str = None) -> List[DatabaseTrack]:
"""Search tracks by title and/or artist name with Unicode-aware fuzzy matching"""
try:
if not title and not artist:
return []
conn = self._get_connection()
cursor = conn.cursor()
# STRATEGY 1: Try basic SQL LIKE search first (fastest)
basic_results = self._search_tracks_basic(cursor, title, artist, limit, server_source)
if basic_results:
logger.debug(f"🔍 Basic search found {len(basic_results)} results")
return basic_results
# STRATEGY 2: Broader fuzzy search - splits into individual words with OR matching
fuzzy_results = self._search_tracks_fuzzy_fallback(cursor, title, artist, limit, server_source)
if fuzzy_results:
logger.debug(f"🔍 Fuzzy fallback search found {len(fuzzy_results)} results")
return fuzzy_results
except Exception as e:
logger.error(f"Error searching tracks with title='{title}', artist='{artist}': {e}")
return []
def _search_tracks_basic(self, cursor, title: str, artist: str, limit: int, server_source: str = None) -> List[DatabaseTrack]:
"""Basic SQL LIKE search - fastest method"""
where_conditions = []
params = []
if title:
where_conditions.append("unidecode_lower(tracks.title) LIKE ?")
params.append(f"%{self._normalize_for_comparison(title)}%")
if artist:
where_conditions.append("unidecode_lower(artists.name) LIKE ?")
params.append(f"%{self._normalize_for_comparison(artist)}%")
# Add server filter if specified
if server_source:
where_conditions.append("tracks.server_source = ?")
params.append(server_source)
if not where_conditions:
return []
where_clause = " AND ".join(where_conditions)
params.append(limit)
cursor.execute(f"""
SELECT tracks.*, artists.name as artist_name, albums.title as album_title
FROM tracks
JOIN artists ON tracks.artist_id = artists.id
JOIN albums ON tracks.album_id = albums.id
WHERE {where_clause}
ORDER BY tracks.title, artists.name
LIMIT ?
""", params)
return self._rows_to_tracks(cursor.fetchall())
def _search_tracks_fuzzy_fallback(self, cursor, title: str, artist: str, limit: int, server_source: str = None) -> List[DatabaseTrack]:
"""Broadest fuzzy search - partial word matching"""
# Get broader results by searching for individual words
search_terms = []
if title:
# Split title into words and search for each (normalized for diacritics)
title_words = [w.strip() for w in self._normalize_for_comparison(title).split() if len(w.strip()) >= 3]
search_terms.extend(title_words)
if artist:
# Split artist into words and search for each (normalized for diacritics)
artist_words = [w.strip() for w in self._normalize_for_comparison(artist).split() if len(w.strip()) >= 3]
search_terms.extend(artist_words)
if not search_terms:
return []
# Build a query that searches for any of the words
like_conditions = []
params = []
for term in search_terms[:5]: # Limit to 5 terms to avoid too broad search
like_conditions.append("(unidecode_lower(tracks.title) LIKE ? OR unidecode_lower(artists.name) LIKE ?)")
params.extend([f"%{term}%", f"%{term}%"])
if not like_conditions:
return []
# Build WHERE clause with optional server filter
where_parts = [f"({' OR '.join(like_conditions)})"]
if server_source:
where_parts.append("tracks.server_source = ?")
params.append(server_source) # Append after LIKE params, before LIMIT
where_clause = " AND ".join(where_parts)
params.append(limit * 3) # Get more results for scoring
cursor.execute(f"""
SELECT tracks.*, artists.name as artist_name, albums.title as album_title
FROM tracks
JOIN artists ON tracks.artist_id = artists.id
JOIN albums ON tracks.album_id = albums.id
WHERE {where_clause}
ORDER BY tracks.title, artists.name
LIMIT ?
""", params)
rows = cursor.fetchall()
# Score and filter results
scored_results = []
for row in rows:
# Simple scoring based on how many search terms match
score = 0
db_title_lower = self._normalize_for_comparison(row['title'])
db_artist_lower = self._normalize_for_comparison(row['artist_name'])
for term in search_terms:
if term in db_title_lower or term in db_artist_lower:
score += 1
if score > 0:
scored_results.append((score, row))
# Sort by score and take top results
scored_results.sort(key=lambda x: x[0], reverse=True)
top_rows = [row for score, row in scored_results[:limit]]
return self._rows_to_tracks(top_rows)
def _rows_to_tracks(self, rows) -> List[DatabaseTrack]:
"""Convert database rows to DatabaseTrack objects"""
tracks = []
for row in rows:
track = DatabaseTrack(
id=row['id'],
album_id=row['album_id'],
artist_id=row['artist_id'],
title=row['title'],
track_number=row['track_number'],
duration=row['duration'],
file_path=row['file_path'],
bitrate=row['bitrate'],
created_at=datetime.fromisoformat(row['created_at']) if row['created_at'] else None,
updated_at=datetime.fromisoformat(row['updated_at']) if row['updated_at'] else None
)
# Add artist and album info for compatibility with Plex responses
track.artist_name = row['artist_name']
track.album_title = row['album_title']
tracks.append(track)
return tracks
def search_albums(self, title: str = "", artist: str = "", limit: int = 50, server_source: Optional[str] = None) -> List[DatabaseAlbum]:
"""Search albums by title and/or artist name with fuzzy matching"""
try:
conn = self._get_connection()
cursor = conn.cursor()
# Build dynamic query based on provided parameters
where_conditions = []
params = []
if title:
where_conditions.append("unidecode_lower(albums.title) LIKE ?")
params.append(f"%{self._normalize_for_comparison(title)}%")
if artist:
where_conditions.append("unidecode_lower(artists.name) LIKE ?")
params.append(f"%{self._normalize_for_comparison(artist)}%")
if server_source:
where_conditions.append("albums.server_source = ?")
params.append(server_source)
if not where_conditions:
# If no search criteria, return empty list
return []
where_clause = " AND ".join(where_conditions)
params.append(limit)
cursor.execute(f"""
SELECT albums.*, artists.name as artist_name
FROM albums
JOIN artists ON albums.artist_id = artists.id
WHERE {where_clause}
ORDER BY albums.title, artists.name
LIMIT ?
""", params)
rows = cursor.fetchall()
albums = []
for row in rows:
genres = json.loads(row['genres']) if row['genres'] else None
album = DatabaseAlbum(
id=row['id'],
artist_id=row['artist_id'],
title=row['title'],
year=row['year'],
thumb_url=row['thumb_url'],
genres=genres,
track_count=row['track_count'],
duration=row['duration'],
created_at=datetime.fromisoformat(row['created_at']) if row['created_at'] else None,
updated_at=datetime.fromisoformat(row['updated_at']) if row['updated_at'] else None
)
# Add artist info for compatibility with Plex responses
album.artist_name = row['artist_name']
albums.append(album)
return albums
except Exception as e:
logger.error(f"Error searching albums with title='{title}', artist='{artist}': {e}")
return []
def _get_artist_variations(self, artist_name: str) -> List[str]:
"""Returns a list of known variations for an artist's name."""
variations = [artist_name]
name_lower = artist_name.lower()
# Add diacritic-normalized variation (fixes #101)
# This allows "Subcarpaţi" to match "Subcarpati" in SQL LIKE queries
normalized_name = self._normalize_for_comparison(artist_name)
# Only add if it's different from original (avoid duplicates)
if normalized_name != artist_name.lower():
# Add with original casing style if possible
variations.append(normalized_name.title())
variations.append(normalized_name)
# Add more aliases here in the future
if "korn" in name_lower:
if "KoЯn" not in variations:
variations.append("KoЯn")
if "Korn" not in variations:
variations.append("Korn")
# Return unique variations
return list(set(variations))
def check_track_exists(self, title: str, artist: str, confidence_threshold: float = 0.8, server_source: str = None) -> Tuple[Optional[DatabaseTrack], float]:
"""
Check if a track exists in the database with enhanced fuzzy matching and confidence scoring.
Now uses the same sophisticated matching approach as album checking for consistency.
Returns (track, confidence) tuple where confidence is 0.0-1.0
"""
try:
# Generate title variations for better matching (similar to album approach)
title_variations = self._generate_track_title_variations(title)
logger.debug(f"🔍 Enhanced track matching for '{title}' by '{artist}': trying {len(title_variations)} variations")
for i, var in enumerate(title_variations):
logger.debug(f" {i+1}. '{var}'")
best_match = None
best_confidence = 0.0
# Try each title variation
for title_variation in title_variations:
# Search for potential matches with this variation
potential_matches = []
artist_variations = self._get_artist_variations(artist)
for artist_variation in artist_variations:
potential_matches.extend(self.search_tracks(title=title_variation, artist=artist_variation, limit=20, server_source=server_source))
if not potential_matches:
continue
logger.debug(f"🎵 Found {len(potential_matches)} tracks for variation '{title_variation}'")
# Score each potential match
for track in potential_matches:
confidence = self._calculate_track_confidence(title, artist, track)
logger.debug(f" 🎯 '{track.title}' confidence: {confidence:.3f}")
if confidence > best_confidence:
best_confidence = confidence
best_match = track
# Return match only if it meets threshold
if best_match and best_confidence >= confidence_threshold:
logger.debug(f"✅ Enhanced track match found: '{title}' -> '{best_match.title}' (confidence: {best_confidence:.3f})")
return best_match, best_confidence
else:
logger.debug(f"❌ No confident track match for '{title}' (best: {best_confidence:.3f}, threshold: {confidence_threshold})")
return None, best_confidence
except Exception as e:
logger.error(f"Error checking track existence for '{title}' by '{artist}': {e}")
return None, 0.0
def check_album_exists(self, title: str, artist: str, confidence_threshold: float = 0.8) -> Tuple[Optional[DatabaseAlbum], float]:
"""
Check if an album exists in the database with fuzzy matching and confidence scoring.
Returns (album, confidence) tuple where confidence is 0.0-1.0
"""
try:
# Search for potential matches
potential_matches = self.search_albums(title=title, artist=artist, limit=20)
if not potential_matches:
return None, 0.0
# Simple confidence scoring based on string similarity
def calculate_confidence(db_album: DatabaseAlbum) -> float:
title_similarity = self._string_similarity(title.lower().strip(), db_album.title.lower().strip())
artist_similarity = self._string_similarity(artist.lower().strip(), db_album.artist_name.lower().strip())
# Weight title and artist equally for albums
return (title_similarity * 0.5) + (artist_similarity * 0.5)
# Find best match
best_match = None
best_confidence = 0.0
for album in potential_matches:
confidence = calculate_confidence(album)
if confidence > best_confidence:
best_confidence = confidence
best_match = album
# Return match only if it meets threshold
if best_confidence >= confidence_threshold:
return best_match, best_confidence
else:
return None, best_confidence
except Exception as e:
logger.error(f"Error checking album existence for '{title}' by '{artist}': {e}")
return None, 0.0
def _string_similarity(self, s1: str, s2: str) -> float:
"""
Calculate string similarity using enhanced matching engine logic if available,
otherwise falls back to Levenshtein distance.
Returns value between 0.0 (no similarity) and 1.0 (identical)
"""
if s1 == s2:
return 1.0
if not s1 or not s2:
return 0.0
# Use enhanced similarity from matching engine if available
if _matching_engine:
return _matching_engine.similarity_score(s1, s2)
# Simple Levenshtein distance implementation
len1, len2 = len(s1), len(s2)
if len1 < len2:
s1, s2 = s2, s1
len1, len2 = len2, len1
if len2 == 0:
return 0.0
# Create matrix
previous_row = list(range(len2 + 1))
for i, c1 in enumerate(s1):
current_row = [i + 1]
for j, c2 in enumerate(s2):
insertions = previous_row[j + 1] + 1
deletions = current_row[j] + 1
substitutions = previous_row[j] + (c1 != c2)
current_row.append(min(insertions, deletions, substitutions))
previous_row = current_row
max_len = max(len1, len2)
distance = previous_row[-1]
similarity = (max_len - distance) / max_len
return max(0.0, similarity)
def check_album_completeness(self, album_id: int, expected_track_count: Optional[int] = None) -> Tuple[int, int, bool, List[str]]:
"""
Check if we have all tracks for an album.
Merges counts across split album entries (same title+year+artist) so that
albums split by the media server (e.g. Navidrome) are treated as one.
Returns (owned_tracks, expected_tracks, is_complete, formats)
where formats is a list of distinct format strings like ["FLAC"] or ["FLAC", "MP3-320"]
"""
try:
conn = self._get_connection()
cursor = conn.cursor()
# Look up this album's title, year, and artist to find all sibling entries
cursor.execute("SELECT title, year, artist_id FROM albums WHERE id = ?", (album_id,))
album_info = cursor.fetchone()
if not album_info:
return 0, 0, False, []
# Find all album IDs that share the same title, year, and artist
# This merges split albums (e.g. Navidrome splitting one album into multiple entries)
cursor.execute("""
SELECT id FROM albums
WHERE title = ? AND artist_id = ? AND (year IS ? OR (year IS NULL AND ? IS NULL))
""", (album_info['title'], album_info['artist_id'], album_info['year'], album_info['year']))
sibling_ids = [row['id'] for row in cursor.fetchall()]
# Get actual track count across all sibling album entries
placeholders = ','.join('?' for _ in sibling_ids)
cursor.execute(f"SELECT COUNT(*) FROM tracks WHERE album_id IN ({placeholders})", sibling_ids)
owned_tracks = cursor.fetchone()[0]
# Get combined expected track count from all sibling album entries
cursor.execute(f"SELECT SUM(track_count) FROM albums WHERE id IN ({placeholders})", sibling_ids)
result = cursor.fetchone()
stored_track_count = result[0] if result and result[0] else 0
# Use provided expected count if available, otherwise use stored count.
# However, if the album is complete by its own stored metadata, prefer the stored
# count so edition differences don't make a complete album appear incomplete.
# e.g. user has standard edition (12 tracks, all present) but Spotify returns
# deluxe edition count (20) — should show as complete, not 12/20.
if (expected_track_count is not None and stored_track_count > 0
and owned_tracks >= stored_track_count
and stored_track_count >= expected_track_count * 0.6):
# Album is complete by its own metadata — don't inflate expected with a different edition's count.
# Guard: stored count must be >=60% of expected to look like a plausible edition variant
# (standard 12 vs deluxe 20 = 60%), not just Plex's leafCount reflecting partial ownership.
expected_tracks = stored_track_count
elif expected_track_count is not None:
expected_tracks = expected_track_count
else:
expected_tracks = stored_track_count
# Determine completeness with refined thresholds
if expected_tracks and expected_tracks > 0:
completion_ratio = owned_tracks / expected_tracks
# Complete: 90%+, Nearly Complete: 80-89%, Partial: <80%
is_complete = completion_ratio >= 0.9 and owned_tracks > 0
else:
# Fallback: if we have any tracks, consider it owned
is_complete = owned_tracks > 0
# Get distinct format strings for owned tracks
formats = self._get_album_formats(cursor, sibling_ids)
return owned_tracks, expected_tracks or 0, is_complete, formats
except Exception as e:
logger.error(f"Error checking album completeness for album_id {album_id}: {e}")
return 0, 0, False, []
def _get_album_formats(self, cursor, sibling_ids: list) -> List[str]:
"""Get distinct format strings for tracks in the given album IDs."""
import os
try:
placeholders = ','.join('?' for _ in sibling_ids)
cursor.execute(f"""
SELECT file_path, bitrate FROM tracks
WHERE album_id IN ({placeholders}) AND file_path IS NOT NULL
""", sibling_ids)
format_set = set()
for row in cursor.fetchall():
ext = os.path.splitext(row['file_path'] or '')[1].lstrip('.').upper()
if not ext:
continue
if ext == 'MP3' and row['bitrate']:
format_set.add(f"MP3-{row['bitrate']}")
elif ext == 'MP3':
format_set.add('MP3')
else:
format_set.add(ext)
return sorted(format_set)
except Exception as e:
logger.error(f"Error getting album formats: {e}")
return []
def check_album_exists_with_completeness(self, title: str, artist: str, expected_track_count: Optional[int] = None, confidence_threshold: float = 0.8, server_source: Optional[str] = None) -> Tuple[Optional[DatabaseAlbum], float, int, int, bool, List[str]]:
"""
Check if an album exists in the database with completeness information.
Enhanced to handle edition matching (standard <-> deluxe variants).
Returns (album, confidence, owned_tracks, expected_tracks, is_complete, formats)
"""
try:
# Try enhanced edition-aware matching first with expected track count for Smart Edition Matching
album, confidence = self.check_album_exists_with_editions(title, artist, confidence_threshold, expected_track_count, server_source)
if not album:
return None, 0.0, 0, 0, False, []
# Now check completeness (includes formats)
owned_tracks, expected_tracks, is_complete, formats = self.check_album_completeness(album.id, expected_track_count)
return album, confidence, owned_tracks, expected_tracks, is_complete, formats
except Exception as e:
logger.error(f"Error checking album existence with completeness for '{title}' by '{artist}': {e}")
return None, 0.0, 0, 0, False, []
def check_album_exists_with_editions(self, title: str, artist: str, confidence_threshold: float = 0.8, expected_track_count: Optional[int] = None, server_source: Optional[str] = None) -> Tuple[Optional[DatabaseAlbum], float]:
"""
Enhanced album existence check that handles edition variants.
Matches standard albums with deluxe/platinum/special editions and vice versa.
"""
try:
# Generate album title variations for edition matching
title_variations = self._generate_album_title_variations(title)
logger.debug(f"🔍 Edition matching for '{title}' by '{artist}': trying {len(title_variations)} variations")
for i, var in enumerate(title_variations):
logger.debug(f" {i+1}. '{var}'")
best_match = None
best_confidence = 0.0
for variation in title_variations:
# Search for this variation
albums = []
artist_variations = self._get_artist_variations(artist)
for artist_variation in artist_variations:
found = self.search_albums(title=variation, artist=artist_variation, limit=10, server_source=server_source)
# Deduplicate by ID
existing_ids = {a.id for a in albums}
for album in found:
if album.id not in existing_ids:
albums.append(album)
existing_ids.add(album.id)
if albums:
logger.debug(f"📀 Found {len(albums)} albums for variation '{variation}'")
if not albums:
continue
# Score each potential match with Smart Edition Matching
for album in albums:
confidence = self._calculate_album_confidence(title, artist, album, expected_track_count)
logger.debug(f" 🎯 '{album.title}' confidence: {confidence:.3f}")
if confidence > best_confidence:
best_confidence = confidence
best_match = album
# Return match only if it meets threshold
if best_match and best_confidence >= confidence_threshold:
logger.debug(f"✅ Edition match found: '{title}' -> '{best_match.title}' (confidence: {best_confidence:.3f})")
return best_match, best_confidence
# Fallback: Check ALL albums by this artist (resolves SQL accent sensitivity issues #101)
# If we haven't found a match yet, fetch broader list from artist and double check
if best_confidence < confidence_threshold:
logger.debug(f"⚠️ specific title search failed, trying broad artist search fallback for '{artist}'")
try:
# Get ALL albums by this artist (limit 100 to be safe)
# This bypasses SQL 'LIKE' limitations for diacritics (e.g. 'ă' vs 'a')
# And relies on Python-side normalization in _calculate_album_confidence
artist_albums = []
artist_variations = self._get_artist_variations(artist)
for artist_var in artist_variations:
found_albums = self.search_albums(title="", artist=artist_var, limit=100, server_source=server_source)
# Deduplicate
existing_ids = {a.id for a in artist_albums}
for album in found_albums:
if album.id not in existing_ids:
artist_albums.append(album)
existing_ids.add(album.id)
if artist_albums:
logger.debug(f" Found {len(artist_albums)} total albums for artist fallback")
for album in artist_albums:
confidence = self._calculate_album_confidence(title, artist, album, expected_track_count)
if confidence > best_confidence:
best_confidence = confidence
best_match = album
logger.debug(f" 🎯 Fallback match: '{album.title}' confidence: {confidence:.3f}")
except Exception as fallback_error:
logger.warning(f"Fallback artist search failed: {fallback_error}")
if best_match and best_confidence >= confidence_threshold:
logger.debug(f"✅ Fallback match succeeded: '{title}' -> '{best_match.title}' (confidence: {best_confidence:.3f})")
return best_match, best_confidence
logger.debug(f"❌ No confident edition match for '{title}' (best: {best_confidence:.3f}, threshold: {confidence_threshold})")
return None, best_confidence
except Exception as e:
logger.error(f"Error in edition-aware album matching for '{title}' by '{artist}': {e}")
return None, 0.0
def _generate_album_title_variations(self, title: str) -> List[str]:
"""Generate variations of album title to handle edition matching"""
variations = [title] # Always include original
# Add diacritic-normalized variation (fixes #101)
# SQLite LIKE is not Unicode-aware, so "găină" won't match "gaina"
# Adding the normalized form lets the SQL query catch both
normalized_title = self._normalize_for_comparison(title)
if normalized_title != title.lower():
variations.append(normalized_title)
# Clean up the title
title_lower = title.lower().strip()
# Define edition patterns and their variations
# Specific patterns first, generic catch-alls last (first match wins due to break)
edition_patterns = {
r'\s*\(deluxe\s*edition?\)': ['deluxe', 'deluxe edition'],
r'\s*\(expanded\s*edition?\)': ['expanded', 'expanded edition'],
r'\s*\(platinum\s*edition?\)': ['platinum', 'platinum edition'],
r'\s*\(special\s*edition?\)': ['special', 'special edition'],
r'\s*\(remastered?\)': ['remastered', 'remaster'],
r'\s*\(anniversary\s*edition?\)': ['anniversary', 'anniversary edition'],
r'\s*\(.*version\)': ['version'],
r'\s+deluxe\s*edition?$': ['deluxe', 'deluxe edition'],
r'\s+platinum\s*edition?$': ['platinum', 'platinum edition'],
r'\s+special\s*edition?$': ['special', 'special edition'],
r'\s*-\s*deluxe': ['deluxe'],
r'\s*-\s*platinum\s*edition?': ['platinum', 'platinum edition'],
# Generic catch-alls for any edition in parens/brackets (e.g. Silver Edition, MMXI Special Edition)
r'\s*\([^)]*\bedition\b[^)]*\)': ['edition'],
r'\s*\[[^\]]*\bedition\b[^\]]*\]': ['edition'],
}
# Check if title contains any edition indicators
base_title = title
found_editions = []
for pattern, edition_types in edition_patterns.items():
if re.search(pattern, title_lower):
# Remove the edition part to get base title
base_title = re.sub(pattern, '', title, flags=re.IGNORECASE).strip()
found_editions.extend(edition_types)
break
# Add base title (without edition markers)
if base_title != title:
variations.append(base_title)
# If we found a base title, add common edition variants
if base_title != title:
# Add common deluxe/platinum/special variants
common_editions = [
'deluxe edition',
'deluxe',
'platinum edition',
'platinum',
'special edition',
'expanded edition',
'remastered',
'anniversary edition'
]
for edition in common_editions:
variations.extend([
f"{base_title} ({edition.title()})",
f"{base_title} ({edition})",
f"{base_title} - {edition.title()}",
f"{base_title} {edition.title()}",
])
# If original title is base form, add edition variants
elif not any(re.search(pattern, title_lower) for pattern in edition_patterns.keys()):
# This appears to be a base album, add deluxe variants
common_editions = ['Deluxe Edition', 'Deluxe', 'Platinum Edition', 'Special Edition']
for edition in common_editions:
variations.extend([
f"{title} ({edition})",
f"{title} - {edition}",
f"{title} {edition}",
])
# Remove duplicates while preserving order
seen = set()
unique_variations = []
for var in variations:
var_clean = var.strip()
if var_clean and var_clean.lower() not in seen:
seen.add(var_clean.lower())
unique_variations.append(var_clean)
return unique_variations
def _calculate_album_confidence(self, search_title: str, search_artist: str, db_album: DatabaseAlbum, expected_track_count: Optional[int] = None) -> float:
"""Calculate confidence score for album match with Smart Edition Matching"""
try:
# Simple confidence based on string similarity
title_similarity = self._string_similarity(search_title.lower(), db_album.title.lower())
artist_similarity = self._string_similarity(search_artist.lower(), db_album.artist_name.lower())
# Also try with cleaned versions (removing edition markers)
clean_search_title = self._clean_album_title_for_comparison(search_title)
clean_db_title = self._clean_album_title_for_comparison(db_album.title)
clean_title_similarity = self._string_similarity(clean_search_title, clean_db_title)
# Also try with normalized versions (handling diacritics) - fixes #101
normalized_search_title = self._normalize_for_comparison(search_title)
normalized_db_title = self._normalize_for_comparison(db_album.title)
normalized_title_similarity = self._string_similarity(normalized_search_title, normalized_db_title)
# Use the best title similarity
best_title_similarity = max(title_similarity, clean_title_similarity, normalized_title_similarity)
# Log when normalized matching helps (only if it's the best score and better than others)
if normalized_title_similarity == best_title_similarity and normalized_title_similarity > max(title_similarity, clean_title_similarity):
logger.debug(f" 🌍 Diacritic normalization improved match: '{search_title}' -> '{db_album.title}' (normalized: {normalized_title_similarity:.3f} vs raw: {title_similarity:.3f})")
# Require minimum title similarity to prevent a perfect artist match from
# carrying a bad title match over the threshold (e.g. "divisions" vs "silos")
if best_title_similarity < 0.6:
return best_title_similarity * 0.5 # Can never exceed 0.3, well below any threshold
# Weight: 50% title, 50% artist (equal weight to prevent false positives)
# Also require minimum artist similarity to prevent matching wrong artists
confidence = (best_title_similarity * 0.5) + (artist_similarity * 0.5)
# Apply artist similarity penalty: if artist match is too low, drastically reduce confidence
if artist_similarity < 0.6: # Less than 60% artist match
confidence *= 0.3 # Reduce confidence by 70%
# Smart Edition Matching: Boost confidence if we found a "better" edition
if expected_track_count and db_album.track_count and clean_title_similarity >= 0.8:
# If the cleaned titles match well, check if this is an edition upgrade
if db_album.track_count >= expected_track_count:
# Found same/better edition (e.g., Deluxe when searching for Standard)
edition_bonus = min(0.15, (db_album.track_count - expected_track_count) / expected_track_count * 0.1)
confidence += edition_bonus
logger.debug(f" 📀 Edition upgrade bonus: +{edition_bonus:.3f} ({db_album.track_count} >= {expected_track_count} tracks)")
elif db_album.track_count < expected_track_count * 0.8:
# Found significantly smaller edition, apply penalty
edition_penalty = 0.1
confidence -= edition_penalty
logger.debug(f" 📀 Edition downgrade penalty: -{edition_penalty:.3f} ({db_album.track_count} << {expected_track_count} tracks)")
return min(confidence, 1.0) # Cap at 1.0
except Exception as e:
logger.error(f"Error calculating album confidence: {e}")
return 0.0
def _generate_track_title_variations(self, title: str) -> List[str]:
"""Generate variations of track title for better matching"""
variations = [title] # Always include original
# Add diacritic-normalized variation (fixes #101)
normalized_title = self._normalize_for_comparison(title)
if normalized_title != title.lower():
variations.append(normalized_title)
# IMPORTANT: Generate bracket/dash style variations for better matching
# Convert "Track - Instrumental" to "Track (Instrumental)" and vice versa
if ' - ' in title:
# Convert dash style to parentheses style
dash_parts = title.split(' - ', 1)
if len(dash_parts) == 2:
paren_version = f"{dash_parts[0]} ({dash_parts[1]})"
variations.append(paren_version)
if '(' in title and ')' in title:
# Convert parentheses style to dash style
dash_version = re.sub(r'\s*\(([^)]+)\)\s*', r' - \1', title)
if dash_version != title:
variations.append(dash_version)
# Clean up the title
title_lower = title.lower().strip()
# Conservative track title variations - only remove clear noise, preserve meaningful differences
track_patterns = [
# Remove explicit/clean markers only
r'\s*\(explicit\)',
r'\s*\(clean\)',
r'\s*\[explicit\]',
r'\s*\[clean\]',
# Remove featuring artists in parentheses
r'\s*\(.*feat\..*\)',
r'\s*\(.*featuring.*\)',
r'\s*\(.*ft\..*\)',
# Remove radio/TV edit markers
r'\s*\(radio\s*edit\)',
r'\s*\(tv\s*edit\)',
r'\s*\[radio\s*edit\]',
r'\s*\[tv\s*edit\]',
]
# DO NOT remove remixes, versions, or content after dashes
# These are meaningful distinctions that should not be collapsed
for pattern in track_patterns:
# Apply pattern to original title
cleaned = re.sub(pattern, '', title, flags=re.IGNORECASE).strip()
if cleaned and cleaned.lower() != title_lower and cleaned not in variations:
variations.append(cleaned)
# Apply pattern to lowercase version
cleaned_lower = re.sub(pattern, '', title_lower, flags=re.IGNORECASE).strip()
if cleaned_lower and cleaned_lower != title_lower:
# Convert back to proper case
cleaned_proper = cleaned_lower.title()
if cleaned_proper not in variations:
variations.append(cleaned_proper)
# Remove duplicates while preserving order
seen = set()
unique_variations = []
for var in variations:
var_key = var.lower().strip()
if var_key not in seen and var.strip():
seen.add(var_key)
unique_variations.append(var.strip())
return unique_variations
def _normalize_for_comparison(self, text: str) -> str:
"""Normalize text for comparison with Unicode accent handling"""
if not text:
return ""
# Try to use unidecode for accent normalization, fallback to basic if not available
try:
from unidecode import unidecode
# Convert accents: é→e, ñ→n, ü→u, etc.
normalized = unidecode(text)
except ImportError:
# Fallback: basic normalization without accent handling
normalized = text
logger.warning("unidecode not available, accent matching may be limited")
# Convert to lowercase and strip
return normalized.lower().strip()
def _calculate_track_confidence(self, search_title: str, search_artist: str, db_track: DatabaseTrack) -> float:
"""Calculate confidence score for track match with enhanced cleaning and Unicode normalization"""
try:
# Unicode-aware normalization for accent matching (é→e, ñ→n, etc.)
search_title_norm = self._normalize_for_comparison(search_title)
search_artist_norm = self._normalize_for_comparison(search_artist)
db_title_norm = self._normalize_for_comparison(db_track.title)
db_artist_norm = self._normalize_for_comparison(db_track.artist_name)
# Debug logging for Unicode normalization
if search_title != search_title_norm or search_artist != search_artist_norm or \
db_track.title != db_title_norm or db_track.artist_name != db_artist_norm:
logger.debug(f"🔤 Unicode normalization:")
logger.debug(f" Search: '{search_title}' → '{search_title_norm}' | '{search_artist}' → '{search_artist_norm}'")
logger.debug(f" Database: '{db_track.title}' → '{db_title_norm}' | '{db_track.artist_name}' → '{db_artist_norm}'")
# Direct similarity with Unicode normalization
title_similarity = self._string_similarity(search_title_norm, db_title_norm)
artist_similarity = self._string_similarity(search_artist_norm, db_artist_norm)
# Also try with cleaned versions (removing parentheses, brackets, etc.)
clean_search_title = self._clean_track_title_for_comparison(search_title)
clean_db_title = self._clean_track_title_for_comparison(db_track.title)
clean_title_similarity = self._string_similarity(clean_search_title, clean_db_title)
# Use the best title similarity (direct or cleaned)
best_title_similarity = max(title_similarity, clean_title_similarity)
# Require minimum title similarity to prevent a perfect artist match from
# carrying a bad title match over the threshold (e.g. "Time" vs "Time Flies")
if best_title_similarity < 0.6:
return best_title_similarity * 0.5 # Can never exceed 0.3, well below any threshold
# Weight: 50% title, 50% artist (equal weight to prevent false positives)
# Also require minimum artist similarity to prevent matching wrong artists
confidence = (best_title_similarity * 0.5) + (artist_similarity * 0.5)
# Apply artist similarity penalty: if artist match is too low, drastically reduce confidence
if artist_similarity < 0.6: # Less than 60% artist match
confidence *= 0.3 # Reduce confidence by 70%
return confidence
except Exception as e:
logger.error(f"Error calculating track confidence: {e}")
return 0.0
def _clean_track_title_for_comparison(self, title: str) -> str:
"""Clean track title for comparison by normalizing brackets/dashes and removing noise"""
cleaned = title.lower().strip()
# PRE-STEP: Handle "(with Artist)" featuring BEFORE bracket removal.
# This catches "with" only when used as featuring syntax inside brackets,
# NOT when "with" is part of the song title like "Stay With Me".
# e.g. "Levitating (with DaBaby)" → "Levitating"
# "Stay (with Justin Bieber)" → "Stay"
# "Stay With Me" → unchanged (no brackets around "with")
cleaned = re.sub(r'\s*\(with\s+[^)]*\)', '', cleaned, flags=re.IGNORECASE)
cleaned = re.sub(r'\s*\[with\s+[^\]]*\]', '', cleaned, flags=re.IGNORECASE)
# STEP 1: Normalize bracket/dash styles for consistent matching
# Convert all bracket styles to spaces for better matching
cleaned = re.sub(r'\s*[\[\(]\s*', ' ', cleaned) # Convert opening brackets/parens to space
cleaned = re.sub(r'\s*[\]\)]\s*', ' ', cleaned) # Convert closing brackets/parens to space
cleaned = re.sub(r'\s*-\s*', ' ', cleaned) # Convert dashes to spaces too
# STEP 2: Remove metadata noise for better matching
# IMPORTANT: Only remove markers that describe the SAME recording with different metadata
# DO NOT remove markers that indicate DIFFERENT versions (live, remix, acoustic, etc.)
# Those are handled by the matching engine's version detection system
patterns_to_remove = [
# Basic markers (content/parental ratings)
r'\s*explicit\s*', # Remove explicit markers
r'\s*clean\s*', # Remove clean markers
# Featuring/collaboration (metadata, not different version)
r'\s*feat\..*', # Remove featuring
r'\s*featuring.*', # Remove featuring
r'\s*ft\..*', # Remove ft.
# Remasters (same recording, different mastering)
r'\s*\d{4}\s*remaster.*', # Remove "2015 remaster"
r'\s*remaster.*', # Remove "remaster/remastered"
r'\s*remastered.*', # Remove "remastered"
# NOTE: Edit versions (radio edit, single edit, album edit) are NOT
# removed here — they are treated as different versions by
# matching_engine.similarity_score() which applies a 0.30 penalty.
# Removing them here would override that penalty via max() and
# cause incorrect matches (e.g. radio edit matched to full version).
# Version clarifications (metadata, not different recordings)
r'\s*original\s+version.*', # Remove "original version" - clarification
r'\s*album\s+version.*', # Remove "album version" - clarification
r'\s*single\s+version.*', # Remove "single version" - clarification
r'\s*version\s*$', # Remove trailing "version"
# Soundtrack/source info (metadata about source)
r'\s*from\s+.*soundtrack.*', # Remove "from ... soundtrack"
r'\s*from\s+".*".*', # Remove "from 'Movie Title'"
r'\s*soundtrack.*', # Remove "soundtrack"
]
# NOTE: We do NOT remove these - they indicate DIFFERENT recordings:
# - live, live at, live from, unplugged (different performance)
# - remix, mix (different mix)
# - acoustic (different arrangement)
# - instrumental (different version)
# - demo (different recording)
# - extended (different length/content)
# - radio edit, single edit, album edit (different cuts)
# These are handled by matching_engine.similarity_score() which applies penalties
for pattern in patterns_to_remove:
cleaned = re.sub(pattern, '', cleaned, flags=re.IGNORECASE).strip()
# STEP 3: Clean up extra spaces
cleaned = re.sub(r'\s+', ' ', cleaned).strip()
return cleaned
def _clean_album_title_for_comparison(self, title: str) -> str:
"""Clean album title by removing edition markers for comparison"""
cleaned = title.lower()
# Remove common edition patterns (specific first, then generic catch-alls)
patterns = [
r'\s*\(deluxe\s*edition?\)',
r'\s*\(expanded\s*edition?\)',
r'\s*\(platinum\s*edition?\)',
r'\s*\(special\s*edition?\)',
r'\s*\(remastered?\)',
r'\s*\(anniversary\s*edition?\)',
r'\s*\(.*version\)',
r'\s*-\s*deluxe\s*edition?',
r'\s*-\s*platinum\s*edition?',
r'\s+deluxe\s*edition?$',
r'\s+platinum\s*edition?$',
# Generic catch-alls: any parenthesized/bracketed text containing "edition"
# Handles "Silver Edition", "MMXI Special Edition", "Limited Edition", etc.
r'\s*\([^)]*\bedition\b[^)]*\)',
r'\s*\[[^\]]*\bedition\b[^\]]*\]',
r'\s*-\s+\w+\s+edition\s*$',
]
for pattern in patterns:
cleaned = re.sub(pattern, '', cleaned, flags=re.IGNORECASE)
return cleaned.strip()
def get_album_completion_stats(self, artist_name: str) -> Dict[str, int]:
"""
Get completion statistics for all albums by an artist.
Returns dict with counts of complete, partial, and missing albums.
"""
try:
conn = self._get_connection()
cursor = conn.cursor()
# Get all albums by this artist with track counts
cursor.execute("""
SELECT albums.id, albums.track_count, COUNT(tracks.id) as actual_tracks
FROM albums
JOIN artists ON albums.artist_id = artists.id
LEFT JOIN tracks ON albums.id = tracks.album_id
WHERE artists.name LIKE ?
GROUP BY albums.id, albums.track_count
""", (f"%{artist_name}%",))
results = cursor.fetchall()
stats = {
'complete': 0, # >=90% of tracks
'nearly_complete': 0, # 80-89% of tracks
'partial': 0, # 1-79% of tracks
'missing': 0, # 0% of tracks
'total': len(results)
}
for row in results:
expected_tracks = row['track_count'] or 1 # Avoid division by zero
actual_tracks = row['actual_tracks']
completion_ratio = actual_tracks / expected_tracks
if actual_tracks == 0:
stats['missing'] += 1
elif completion_ratio >= 0.9:
stats['complete'] += 1
elif completion_ratio >= 0.8:
stats['nearly_complete'] += 1
else:
stats['partial'] += 1
return stats
except Exception as e:
logger.error(f"Error getting album completion stats for artist '{artist_name}': {e}")
return {'complete': 0, 'nearly_complete': 0, 'partial': 0, 'missing': 0, 'total': 0}
def set_metadata(self, key: str, value: str):
"""Set a metadata value"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
INSERT OR REPLACE INTO metadata (key, value, updated_at)
VALUES (?, ?, CURRENT_TIMESTAMP)
""", (key, value))
conn.commit()
except Exception as e:
logger.error(f"Error setting metadata {key}: {e}")
def get_metadata(self, key: str) -> Optional[str]:
"""Get a metadata value"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("SELECT value FROM metadata WHERE key = ?", (key,))
result = cursor.fetchone()
return result['value'] if result else None
except Exception as e:
logger.error(f"Error getting metadata {key}: {e}")
return None
def record_full_refresh_completion(self):
"""Record when a full refresh was completed"""
from datetime import datetime
self.set_metadata('last_full_refresh', datetime.now().isoformat())
def get_last_full_refresh(self) -> Optional[str]:
"""Get the date of the last full refresh"""
return self.get_metadata('last_full_refresh')
def set_preference(self, key: str, value: str):
"""Set a user preference (alias for set_metadata for clarity)"""
self.set_metadata(key, value)
def get_preference(self, key: str) -> Optional[str]:
"""Get a user preference (alias for get_metadata for clarity)"""
return self.get_metadata(key)
# --- Bubble Snapshot Methods ---
def save_bubble_snapshot(self, snapshot_type: str, data_dict: dict, profile_id: int = 1):
"""Save a bubble snapshot (upserts by type + profile).
Args:
snapshot_type: One of 'artist_bubbles', 'search_bubbles', 'discover_downloads'
data_dict: The bubbles/downloads dict to persist
profile_id: Profile to save for
"""
from datetime import datetime
now = datetime.now()
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Check if profile_id column exists
cursor.execute("PRAGMA table_info(bubble_snapshots)")
cols = {c[1] for c in cursor.fetchall()}
if 'profile_id' in cols:
# Delete existing entry for this profile+type, then insert
cursor.execute("DELETE FROM bubble_snapshots WHERE type = ? AND profile_id = ?",
(snapshot_type, profile_id))
cursor.execute(
"INSERT INTO bubble_snapshots (type, data, timestamp, snapshot_id, profile_id) VALUES (?, ?, ?, ?, ?)",
(snapshot_type, json.dumps(data_dict), now.isoformat(), now.strftime('%Y%m%d_%H%M%S'), profile_id)
)
else:
cursor.execute(
"INSERT OR REPLACE INTO bubble_snapshots (type, data, timestamp, snapshot_id) VALUES (?, ?, ?, ?)",
(snapshot_type, json.dumps(data_dict), now.isoformat(), now.strftime('%Y%m%d_%H%M%S'))
)
conn.commit()
except Exception as e:
logger.error(f"Error saving bubble snapshot '{snapshot_type}': {e}")
raise
def get_bubble_snapshot(self, snapshot_type: str, profile_id: int = 1) -> Optional[Dict[str, Any]]:
"""Load a bubble snapshot for the given profile.
Returns:
{'data': dict, 'timestamp': str} or None if not found
"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("PRAGMA table_info(bubble_snapshots)")
cols = {c[1] for c in cursor.fetchall()}
if 'profile_id' in cols:
cursor.execute("SELECT data, timestamp FROM bubble_snapshots WHERE type = ? AND profile_id = ?",
(snapshot_type, profile_id))
else:
cursor.execute("SELECT data, timestamp FROM bubble_snapshots WHERE type = ?", (snapshot_type,))
row = cursor.fetchone()
if row:
return {'data': json.loads(row['data']), 'timestamp': row['timestamp']}
return None
except Exception as e:
logger.error(f"Error getting bubble snapshot '{snapshot_type}': {e}")
return None
def delete_bubble_snapshot(self, snapshot_type: str, profile_id: int = 1):
"""Delete a bubble snapshot for the given profile."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("PRAGMA table_info(bubble_snapshots)")
cols = {c[1] for c in cursor.fetchall()}
if 'profile_id' in cols:
cursor.execute("DELETE FROM bubble_snapshots WHERE type = ? AND profile_id = ?",
(snapshot_type, profile_id))
else:
cursor.execute("DELETE FROM bubble_snapshots WHERE type = ?", (snapshot_type,))
conn.commit()
except Exception as e:
logger.error(f"Error deleting bubble snapshot '{snapshot_type}': {e}")
# Quality profile management methods
def get_quality_profile(self) -> dict:
"""Get the quality profile configuration, returns default if not set"""
import json
profile_json = self.get_preference('quality_profile')
if profile_json:
try:
profile = json.loads(profile_json)
# Migrate v1 profiles (min_mb/max_mb) to v2 (min_kbps/max_kbps)
if profile.get('version', 1) < 2:
logger.info("Migrating quality profile from v1 (file size) to v2 (bitrate density)")
return self._get_default_quality_profile()
return profile
except json.JSONDecodeError:
logger.error("Failed to parse quality profile JSON, returning default")
return self._get_default_quality_profile()
def _get_default_quality_profile(self) -> dict:
"""Return the default v2 quality profile (balanced preset)"""
return {
"version": 2,
"preset": "balanced",
"qualities": {
"flac": {
"enabled": True,
"min_kbps": 500,
"max_kbps": 10000,
"priority": 1,
"bit_depth": "any"
},
"mp3_320": {
"enabled": True,
"min_kbps": 280,
"max_kbps": 500,
"priority": 2
},
"mp3_256": {
"enabled": True,
"min_kbps": 200,
"max_kbps": 400,
"priority": 3
},
"mp3_192": {
"enabled": False,
"min_kbps": 150,
"max_kbps": 300,
"priority": 4
}
},
"fallback_enabled": True
}
def set_quality_profile(self, profile: dict) -> bool:
"""Save quality profile configuration"""
import json
try:
profile_json = json.dumps(profile)
self.set_preference('quality_profile', profile_json)
logger.info(f"Quality profile saved: preset={profile.get('preset', 'custom')}")
return True
except Exception as e:
logger.error(f"Failed to save quality profile: {e}")
return False
def get_quality_preset(self, preset_name: str) -> dict:
"""Get a predefined quality preset"""
presets = {
"audiophile": {
"version": 2,
"preset": "audiophile",
"qualities": {
"flac": {
"enabled": True,
"min_kbps": 500,
"max_kbps": 10000,
"priority": 1,
"bit_depth": "any"
},
"mp3_320": {
"enabled": False,
"min_kbps": 280,
"max_kbps": 500,
"priority": 2
},
"mp3_256": {
"enabled": False,
"min_kbps": 200,
"max_kbps": 400,
"priority": 3
},
"mp3_192": {
"enabled": False,
"min_kbps": 150,
"max_kbps": 300,
"priority": 4
}
},
"fallback_enabled": False
},
"balanced": {
"version": 2,
"preset": "balanced",
"qualities": {
"flac": {
"enabled": True,
"min_kbps": 500,
"max_kbps": 10000,
"priority": 1,
"bit_depth": "any"
},
"mp3_320": {
"enabled": True,
"min_kbps": 280,
"max_kbps": 500,
"priority": 2
},
"mp3_256": {
"enabled": True,
"min_kbps": 200,
"max_kbps": 400,
"priority": 3
},
"mp3_192": {
"enabled": False,
"min_kbps": 150,
"max_kbps": 300,
"priority": 4
}
},
"fallback_enabled": True
},
"space_saver": {
"version": 2,
"preset": "space_saver",
"qualities": {
"flac": {
"enabled": False,
"min_kbps": 500,
"max_kbps": 10000,
"priority": 4,
"bit_depth": "any"
},
"mp3_320": {
"enabled": True,
"min_kbps": 280,
"max_kbps": 500,
"priority": 1
},
"mp3_256": {
"enabled": True,
"min_kbps": 200,
"max_kbps": 400,
"priority": 2
},
"mp3_192": {
"enabled": True,
"min_kbps": 150,
"max_kbps": 300,
"priority": 3
}
},
"fallback_enabled": True
}
}
return presets.get(preset_name, presets["balanced"])
# Wishlist management methods
def add_to_wishlist(self, spotify_track_data: Dict[str, Any], failure_reason: str = "Download failed",
source_type: str = "unknown", source_info: Dict[str, Any] = None,
profile_id: int = 1) -> bool:
"""Add a failed track to the wishlist for retry"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Use Spotify track ID as unique identifier
track_id = spotify_track_data.get('id')
if not track_id:
logger.error("Cannot add track to wishlist: missing Spotify track ID")
return False
track_name = spotify_track_data.get('name', 'Unknown Track')
artists = spotify_track_data.get('artists', [])
if artists:
first_artist = artists[0]
if isinstance(first_artist, str):
artist_name = first_artist
elif isinstance(first_artist, dict):
artist_name = first_artist.get('name', 'Unknown Artist')
else:
artist_name = 'Unknown Artist'
else:
artist_name = 'Unknown Artist'
# Ensure album is a proper dict — repair if needed so display doesn't break
album = spotify_track_data.get('album')
if not album or not isinstance(album, dict):
spotify_track_data['album'] = {'name': track_name, 'images': []}
logger.info(f"Wishlist add: no album info for '{track_name}', using track name as fallback")
elif not album.get('name') or album.get('name') in ('Unknown Album', ''):
album['name'] = track_name
logger.info(f"Wishlist add: missing album name for '{track_name}', using track name as fallback")
# Check for duplicates by track name + artist (not just Spotify ID)
# This prevents adding the same track multiple times with different IDs or edge cases
cursor.execute("""
SELECT id, spotify_track_id, spotify_data FROM wishlist_tracks
WHERE profile_id = ?
""", (profile_id,))
existing_tracks = cursor.fetchall()
# Check if any existing track has matching name AND artist
for existing in existing_tracks:
try:
existing_data = json.loads(existing['spotify_data'])
existing_name = existing_data.get('name', '')
existing_artists = existing_data.get('artists', [])
if existing_artists:
existing_first = existing_artists[0]
if isinstance(existing_first, str):
existing_artist = existing_first
elif isinstance(existing_first, dict):
existing_artist = existing_first.get('name', '')
else:
existing_artist = ''
else:
existing_artist = ''
# Case-insensitive comparison of track name and primary artist
if (existing_name.lower() == track_name.lower() and
existing_artist.lower() == artist_name.lower()):
# Enhance mode: upsert existing entry with enhance bypass context
if source_type == 'enhance':
source_json = json.dumps(source_info or {})
cursor.execute("""
UPDATE wishlist_tracks
SET source_type = ?, source_info = ?, failure_reason = ?,
spotify_data = ?, spotify_track_id = ?
WHERE id = ?
""", (source_type, source_json, failure_reason,
json.dumps(spotify_track_data), track_id, existing['id']))
conn.commit()
logger.info(f"Upserted wishlist entry to enhance mode: '{track_name}' by {artist_name}")
return True
logger.info(f"Skipping duplicate wishlist entry: '{track_name}' by {artist_name} (already exists as ID: {existing['id']})")
return False # Already exists, don't add duplicate
except Exception as parse_error:
logger.warning(f"Error parsing existing wishlist track data: {parse_error}")
continue
# Convert data to JSON strings
spotify_json = json.dumps(spotify_track_data)
source_json = json.dumps(source_info or {})
# No duplicate found, insert the track
cursor.execute("""
INSERT OR REPLACE INTO wishlist_tracks
(spotify_track_id, spotify_data, failure_reason, source_type, source_info, date_added, profile_id)
VALUES (?, ?, ?, ?, ?, CURRENT_TIMESTAMP, ?)
""", (track_id, spotify_json, failure_reason, source_type, source_json, profile_id))
conn.commit()
logger.info(f"Added track to wishlist: '{track_name}' by {artist_name}")
return True
except Exception as e:
logger.error(f"Error adding track to wishlist: {e}")
return False
def remove_from_wishlist(self, spotify_track_id: str, profile_id: int = 1) -> bool:
"""Remove a track from the wishlist (typically after successful download)"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("DELETE FROM wishlist_tracks WHERE spotify_track_id = ? AND profile_id = ?",
(spotify_track_id, profile_id))
conn.commit()
if cursor.rowcount > 0:
logger.info(f"Removed track from wishlist: {spotify_track_id}")
return True
else:
logger.debug(f"Track not found in wishlist: {spotify_track_id}")
return False
except Exception as e:
logger.error(f"Error removing track from wishlist: {e}")
return False
def get_wishlist_tracks(self, limit: Optional[int] = None, profile_id: int = 1) -> List[Dict[str, Any]]:
"""Get all tracks in the wishlist for the given profile, ordered by date added (oldest first for retry priority)"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
query = """
SELECT id, spotify_track_id, spotify_data, failure_reason, retry_count,
last_attempted, date_added, source_type, source_info
FROM wishlist_tracks
WHERE profile_id = ?
ORDER BY date_added
"""
params = [profile_id]
if limit:
query += f" LIMIT {limit}"
cursor.execute(query, params)
rows = cursor.fetchall()
wishlist_tracks = []
for row in rows:
try:
spotify_data = json.loads(row['spotify_data'])
source_info = json.loads(row['source_info']) if row['source_info'] else {}
wishlist_tracks.append({
'id': row['id'],
'spotify_track_id': row['spotify_track_id'],
'spotify_data': spotify_data,
'failure_reason': row['failure_reason'],
'retry_count': row['retry_count'],
'last_attempted': row['last_attempted'],
'date_added': row['date_added'],
'source_type': row['source_type'],
'source_info': source_info
})
except json.JSONDecodeError as e:
logger.error(f"Error parsing wishlist track data: {e}")
continue
return wishlist_tracks
except Exception as e:
logger.error(f"Error getting wishlist tracks: {e}")
return []
def update_wishlist_retry(self, spotify_track_id: str, success: bool, error_message: str = None, profile_id: int = 1) -> bool:
"""Update retry count and status for a wishlist track"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
if success:
# Remove from ALL profiles' wishlists — track is now in shared library
cursor.execute("DELETE FROM wishlist_tracks WHERE spotify_track_id = ?", (spotify_track_id,))
else:
# Increment retry count and update failure reason
cursor.execute("""
UPDATE wishlist_tracks
SET retry_count = retry_count + 1,
last_attempted = CURRENT_TIMESTAMP,
failure_reason = COALESCE(?, failure_reason)
WHERE spotify_track_id = ? AND profile_id = ?
""", (error_message, spotify_track_id, profile_id))
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error updating wishlist retry status: {e}")
return False
def get_wishlist_count(self, profile_id: int = 1) -> int:
"""Get the total number of tracks in the wishlist for the given profile"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("SELECT COUNT(*) FROM wishlist_tracks WHERE profile_id = ?", (profile_id,))
result = cursor.fetchone()
return result[0] if result else 0
except Exception as e:
logger.error(f"Error getting wishlist count: {e}")
return 0
def clear_wishlist(self, profile_id: int = 1) -> bool:
"""Clear all tracks from the wishlist for the given profile"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("DELETE FROM wishlist_tracks WHERE profile_id = ?", (profile_id,))
cleared_count = cursor.rowcount
conn.commit()
logger.info(f"Cleared {cleared_count} tracks from wishlist (profile: {profile_id})")
return True
except Exception as e:
logger.error(f"Error clearing wishlist: {e}")
return False
def remove_wishlist_duplicates(self, profile_id: int = 1) -> int:
"""Remove duplicate tracks from wishlist based on track name + artist.
Keeps the oldest entry (by date_added) for each duplicate set.
Returns the number of duplicates removed."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Get all wishlist tracks for this profile
cursor.execute("""
SELECT id, spotify_track_id, spotify_data, date_added
FROM wishlist_tracks
WHERE profile_id = ?
ORDER BY date_added ASC
""", (profile_id,))
all_tracks = cursor.fetchall()
# Track seen tracks and duplicates to remove
seen_tracks = {} # Key: (track_name, artist_name), Value: track_id to keep
duplicates_to_remove = []
for track in all_tracks:
try:
track_data = json.loads(track['spotify_data'])
track_name = track_data.get('name', '').lower()
artists = track_data.get('artists', [])
if artists and isinstance(artists[0], dict):
artist_name = artists[0].get('name', '').lower()
elif artists:
artist_name = str(artists[0]).lower()
else:
artist_name = 'unknown'
key = (track_name, artist_name)
if key in seen_tracks:
# Duplicate found - mark for removal
duplicates_to_remove.append(track['id'])
logger.info(f"Found duplicate: '{track_name}' by {artist_name} (ID: {track['id']}, keeping ID: {seen_tracks[key]})")
else:
# First occurrence - keep this one
seen_tracks[key] = track['id']
except Exception as parse_error:
logger.warning(f"Error parsing wishlist track {track['id']}: {parse_error}")
continue
# Remove all duplicates
removed_count = 0
for duplicate_id in duplicates_to_remove:
cursor.execute("DELETE FROM wishlist_tracks WHERE id = ?", (duplicate_id,))
removed_count += 1
conn.commit()
logger.info(f"Removed {removed_count} duplicate tracks from wishlist")
return removed_count
except Exception as e:
logger.error(f"Error removing wishlist duplicates: {e}")
return 0
# Watchlist operations
def add_artist_to_watchlist(self, artist_id: str, artist_name: str, profile_id: int = 1, source: str = None) -> bool:
"""Add an artist to the watchlist for monitoring new releases.
Automatically detects if artist_id is a Spotify ID (alphanumeric) or iTunes/Deezer ID (numeric).
If the artist already exists (by name match), updates the existing row with the new source ID.
"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Check if artist already exists by name (case-insensitive) for this profile
cursor.execute("""
SELECT id, spotify_artist_id, itunes_artist_id, deezer_artist_id
FROM watchlist_artists
WHERE LOWER(artist_name) = LOWER(?) AND profile_id = ?
LIMIT 1
""", (artist_name, profile_id))
existing = cursor.fetchone()
# Detect source: explicit source param, or infer from ID format
if not source:
source = 'itunes' if artist_id.isdigit() else 'spotify'
if existing:
# Artist already on watchlist — update with new source ID if missing
col_map = {'spotify': 'spotify_artist_id', 'itunes': 'itunes_artist_id', 'deezer': 'deezer_artist_id'}
col = col_map.get(source)
if col and not existing[col]:
cursor.execute(f"""
UPDATE watchlist_artists
SET {col} = ?, updated_at = CURRENT_TIMESTAMP
WHERE id = ?
""", (artist_id, existing['id']))
conn.commit()
logger.info(f"Updated existing watchlist artist '{artist_name}' with {source} ID: {artist_id}")
else:
logger.info(f"Artist '{artist_name}' already on watchlist (profile: {profile_id})")
return True
# New artist — insert with the appropriate ID column
if source == 'deezer':
cursor.execute("""
INSERT INTO watchlist_artists
(deezer_artist_id, artist_name, date_added, updated_at, profile_id)
VALUES (?, ?, CURRENT_TIMESTAMP, CURRENT_TIMESTAMP, ?)
""", (artist_id, artist_name, profile_id))
logger.info(f"Added artist '{artist_name}' to watchlist (Deezer ID: {artist_id}, profile: {profile_id})")
elif source == 'itunes':
cursor.execute("""
INSERT INTO watchlist_artists
(itunes_artist_id, artist_name, date_added, updated_at, profile_id)
VALUES (?, ?, CURRENT_TIMESTAMP, CURRENT_TIMESTAMP, ?)
""", (artist_id, artist_name, profile_id))
logger.info(f"Added artist '{artist_name}' to watchlist (iTunes ID: {artist_id}, profile: {profile_id})")
else:
cursor.execute("""
INSERT INTO watchlist_artists
(spotify_artist_id, artist_name, date_added, updated_at, profile_id)
VALUES (?, ?, CURRENT_TIMESTAMP, CURRENT_TIMESTAMP, ?)
""", (artist_id, artist_name, profile_id))
logger.info(f"Added artist '{artist_name}' to watchlist (Spotify ID: {artist_id}, profile: {profile_id})")
conn.commit()
return True
except Exception as e:
logger.error(f"Error adding artist '{artist_name}' to watchlist: {e}")
return False
def remove_artist_from_watchlist(self, artist_id: str, profile_id: int = 1) -> bool:
"""Remove an artist from the watchlist (checks Spotify, iTunes, and Deezer IDs)"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Get artist name for logging (check all ID columns)
cursor.execute("""
SELECT artist_name FROM watchlist_artists
WHERE (spotify_artist_id = ? OR itunes_artist_id = ? OR deezer_artist_id = ?) AND profile_id = ?
""", (artist_id, artist_id, artist_id, profile_id))
result = cursor.fetchone()
artist_name = result['artist_name'] if result else "Unknown"
cursor.execute("""
DELETE FROM watchlist_artists
WHERE (spotify_artist_id = ? OR itunes_artist_id = ? OR deezer_artist_id = ?) AND profile_id = ?
""", (artist_id, artist_id, artist_id, profile_id))
if cursor.rowcount > 0:
conn.commit()
logger.info(f"Removed artist '{artist_name}' from watchlist (ID: {artist_id}, profile: {profile_id})")
return True
else:
logger.warning(f"Artist with ID {artist_id} not found in watchlist for profile {profile_id}")
return False
except Exception as e:
logger.error(f"Error removing artist from watchlist (ID: {artist_id}): {e}")
return False
def is_artist_in_watchlist(self, artist_id: str, profile_id: int = 1, artist_name: str = None) -> bool:
"""Check if an artist is currently in the watchlist (checks Spotify, iTunes, Deezer IDs and name)"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Check all ID columns and optionally artist name
if artist_name:
cursor.execute("""
SELECT 1 FROM watchlist_artists
WHERE (spotify_artist_id = ? OR itunes_artist_id = ? OR deezer_artist_id = ? OR LOWER(artist_name) = LOWER(?)) AND profile_id = ?
LIMIT 1
""", (artist_id, artist_id, artist_id, artist_name, profile_id))
else:
cursor.execute("""
SELECT 1 FROM watchlist_artists
WHERE (spotify_artist_id = ? OR itunes_artist_id = ? OR deezer_artist_id = ?) AND profile_id = ?
LIMIT 1
""", (artist_id, artist_id, artist_id, profile_id))
result = cursor.fetchone()
return result is not None
except Exception as e:
logger.error(f"Error checking if artist is in watchlist (ID: {artist_id}): {e}")
return False
def get_watchlist_artists(self, profile_id: int = 1) -> List[WatchlistArtist]:
"""Get all artists in the watchlist for the given profile"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Check which columns exist (for migration compatibility)
cursor.execute("PRAGMA table_info(watchlist_artists)")
existing_columns = {column[1] for column in cursor.fetchall()}
# Build SELECT query based on existing columns
base_columns = ['id', 'spotify_artist_id', 'artist_name', 'date_added',
'last_scan_timestamp', 'created_at', 'updated_at']
optional_columns = ['image_url', 'itunes_artist_id', 'deezer_artist_id', 'include_albums', 'include_eps', 'include_singles',
'include_live', 'include_remixes', 'include_acoustic', 'include_compilations',
'include_instrumentals']
columns_to_select = base_columns + [col for col in optional_columns if col in existing_columns]
if 'profile_id' in existing_columns:
cursor.execute(f"""
SELECT {', '.join(columns_to_select)}
FROM watchlist_artists
WHERE profile_id = ?
ORDER BY date_added DESC
""", (profile_id,))
else:
cursor.execute(f"""
SELECT {', '.join(columns_to_select)}
FROM watchlist_artists
ORDER BY date_added DESC
""")
rows = cursor.fetchall()
watchlist_artists = []
for row in rows:
# Safely get optional columns with defaults (sqlite3.Row uses dict-style access)
image_url = row['image_url'] if 'image_url' in existing_columns else None
itunes_artist_id = row['itunes_artist_id'] if 'itunes_artist_id' in existing_columns else None
deezer_artist_id = row['deezer_artist_id'] if 'deezer_artist_id' in existing_columns else None
include_albums = bool(row['include_albums']) if 'include_albums' in existing_columns else True
include_eps = bool(row['include_eps']) if 'include_eps' in existing_columns else True
include_singles = bool(row['include_singles']) if 'include_singles' in existing_columns else True
include_live = bool(row['include_live']) if 'include_live' in existing_columns else False
include_remixes = bool(row['include_remixes']) if 'include_remixes' in existing_columns else False
include_acoustic = bool(row['include_acoustic']) if 'include_acoustic' in existing_columns else False
include_compilations = bool(row['include_compilations']) if 'include_compilations' in existing_columns else False
include_instrumentals = bool(row['include_instrumentals']) if 'include_instrumentals' in existing_columns else False
watchlist_artists.append(WatchlistArtist(
id=row['id'],
spotify_artist_id=row['spotify_artist_id'],
artist_name=row['artist_name'],
date_added=datetime.fromisoformat(row['date_added']),
last_scan_timestamp=datetime.fromisoformat(row['last_scan_timestamp']) if row['last_scan_timestamp'] else None,
created_at=datetime.fromisoformat(row['created_at']) if row['created_at'] else None,
updated_at=datetime.fromisoformat(row['updated_at']) if row['updated_at'] else None,
image_url=image_url,
itunes_artist_id=itunes_artist_id,
deezer_artist_id=deezer_artist_id,
include_albums=include_albums,
include_eps=include_eps,
include_singles=include_singles,
include_live=include_live,
include_remixes=include_remixes,
include_acoustic=include_acoustic,
include_compilations=include_compilations,
include_instrumentals=include_instrumentals,
profile_id=profile_id
))
return watchlist_artists
except Exception as e:
logger.error(f"Error getting watchlist artists: {e}")
return []
# ── Spotify Library Cache ──────────────────────────────────────────
def upsert_spotify_library_albums(self, albums: list, profile_id: int = 1):
"""Bulk upsert saved Spotify albums into cache table"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
for album in albums:
cursor.execute("""
INSERT OR REPLACE INTO spotify_library_cache
(spotify_album_id, album_name, artist_name, artist_id,
release_date, total_tracks, album_type, image_url,
date_saved, cached_at, profile_id)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, CURRENT_TIMESTAMP, ?)
""", (
album['spotify_album_id'],
album['album_name'],
album['artist_name'],
album.get('artist_id'),
album.get('release_date'),
album.get('total_tracks', 0),
album.get('album_type', 'album'),
album.get('image_url'),
album.get('date_saved'),
profile_id,
))
conn.commit()
logger.info(f"Upserted {len(albums)} albums into spotify_library_cache")
except Exception as e:
logger.error(f"Error upserting spotify library albums: {e}")
def get_spotify_library_albums(self, offset=0, limit=50, search='', sort='date_saved',
sort_dir='desc', profile_id=1):
"""Get cached Spotify library albums with pagination, search, and sorting.
Returns (albums_list, total_count)."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
where_clauses = ['profile_id = ?']
params = [profile_id]
if search:
where_clauses.append('(album_name LIKE ? OR artist_name LIKE ?)')
params.extend([f'%{search}%', f'%{search}%'])
where_sql = ' AND '.join(where_clauses)
# Count total
cursor.execute(f"SELECT COUNT(*) as count FROM spotify_library_cache WHERE {where_sql}", params)
total = cursor.fetchone()['count']
# Validate sort column
valid_sorts = {'date_saved', 'artist_name', 'album_name', 'release_date'}
if sort not in valid_sorts:
sort = 'date_saved'
sort_direction = 'ASC' if sort_dir == 'asc' else 'DESC'
cursor.execute(f"""
SELECT * FROM spotify_library_cache
WHERE {where_sql}
ORDER BY {sort} {sort_direction}
LIMIT ? OFFSET ?
""", params + [limit, offset])
albums = []
for row in cursor.fetchall():
albums.append({
'id': row['id'],
'spotify_album_id': row['spotify_album_id'],
'album_name': row['album_name'],
'artist_name': row['artist_name'],
'artist_id': row['artist_id'],
'release_date': row['release_date'],
'total_tracks': row['total_tracks'],
'album_type': row['album_type'],
'image_url': row['image_url'],
'date_saved': row['date_saved'],
})
return albums, total
except Exception as e:
logger.error(f"Error getting spotify library albums: {e}")
return [], 0
def get_spotify_library_album_ids(self, profile_id=1):
"""Get all cached spotify album IDs as a set"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("SELECT spotify_album_id FROM spotify_library_cache WHERE profile_id = ?", (profile_id,))
return {row['spotify_album_id'] for row in cursor.fetchall()}
except Exception as e:
logger.error(f"Error getting spotify library album IDs: {e}")
return set()
def remove_spotify_library_albums_not_in(self, keep_ids: set, profile_id=1):
"""Remove cached albums that are no longer in the user's Spotify library"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
if not keep_ids:
cursor.execute("DELETE FROM spotify_library_cache WHERE profile_id = ?", (profile_id,))
else:
placeholders = ','.join('?' * len(keep_ids))
cursor.execute(f"""
DELETE FROM spotify_library_cache
WHERE profile_id = ? AND spotify_album_id NOT IN ({placeholders})
""", [profile_id] + list(keep_ids))
removed = cursor.rowcount
conn.commit()
if removed > 0:
logger.info(f"Removed {removed} un-saved albums from spotify_library_cache")
return removed
except Exception as e:
logger.error(f"Error removing spotify library albums: {e}")
return 0
def get_library_spotify_album_ids(self, profile_id=1):
"""Get all spotify_album_id values from the local music library albums table"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
SELECT DISTINCT spotify_album_id FROM albums
WHERE spotify_album_id IS NOT NULL AND spotify_album_id != ''
""")
return {row['spotify_album_id'] for row in cursor.fetchall()}
except Exception as e:
logger.error(f"Error getting library spotify album IDs: {e}")
return set()
def get_library_album_names(self):
"""Get normalized (artist, album) pairs from library for fuzzy ownership matching"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
SELECT LOWER(a.title) as album, LOWER(ar.name) as artist
FROM albums a
JOIN artists ar ON a.artist_id = ar.id
""")
return {(row['artist'], row['album']) for row in cursor.fetchall()}
except Exception as e:
logger.error(f"Error getting library album names: {e}")
return set()
def get_watchlist_count(self, profile_id: int = 1) -> int:
"""Get the number of artists in the watchlist for the given profile"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("SELECT COUNT(*) as count FROM watchlist_artists WHERE profile_id = ?", (profile_id,))
result = cursor.fetchone()
return result['count'] if result else 0
except Exception as e:
logger.error(f"Error getting watchlist count: {e}")
return 0
def update_watchlist_artist_image(self, artist_id: str, image_url: str) -> bool:
"""Update the image URL for a watchlist artist (checks both Spotify and iTunes IDs)"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Check if image_url column exists (for migration compatibility)
cursor.execute("PRAGMA table_info(watchlist_artists)")
existing_columns = {column[1] for column in cursor.fetchall()}
if 'image_url' not in existing_columns:
logger.warning("image_url column does not exist in watchlist_artists table. Skipping update. Please restart the app to apply migrations.")
return False
cursor.execute("""
UPDATE watchlist_artists
SET image_url = ?, updated_at = CURRENT_TIMESTAMP
WHERE spotify_artist_id = ? OR itunes_artist_id = ?
""", (image_url, artist_id, artist_id))
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error updating watchlist artist image: {e}")
return False
def update_watchlist_spotify_id(self, watchlist_id: int, spotify_id: str) -> bool:
"""Update the Spotify artist ID for a watchlist artist (cross-provider support)"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
UPDATE watchlist_artists
SET spotify_artist_id = ?, updated_at = CURRENT_TIMESTAMP
WHERE id = ?
""", (spotify_id, watchlist_id))
conn.commit()
logger.info(f"Updated Spotify ID for watchlist artist {watchlist_id}: {spotify_id}")
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error updating watchlist Spotify ID: {e}")
return False
def update_watchlist_itunes_id(self, watchlist_id: int, itunes_id: str) -> bool:
"""Update the iTunes artist ID for a watchlist artist (cross-provider support)"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
UPDATE watchlist_artists
SET itunes_artist_id = ?, updated_at = CURRENT_TIMESTAMP
WHERE id = ?
""", (itunes_id, watchlist_id))
conn.commit()
logger.info(f"Updated iTunes ID for watchlist artist {watchlist_id}: {itunes_id}")
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error updating watchlist iTunes ID: {e}")
return False
def update_watchlist_artist_itunes_id(self, spotify_artist_id: str, itunes_id: str) -> bool:
"""Update the iTunes artist ID for a watchlist artist by Spotify ID (for cross-provider caching)"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
UPDATE watchlist_artists
SET itunes_artist_id = ?, updated_at = CURRENT_TIMESTAMP
WHERE spotify_artist_id = ?
""", (itunes_id, spotify_artist_id))
conn.commit()
if cursor.rowcount > 0:
logger.info(f"Cached iTunes ID {itunes_id} for Spotify artist {spotify_artist_id}")
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error caching watchlist iTunes ID: {e}")
return False
def update_watchlist_artist_deezer_id(self, spotify_artist_id: str, deezer_id: str) -> bool:
"""Update the Deezer artist ID for a watchlist artist by Spotify ID (for cross-provider caching)"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
UPDATE watchlist_artists
SET deezer_artist_id = ?, updated_at = CURRENT_TIMESTAMP
WHERE spotify_artist_id = ?
""", (deezer_id, spotify_artist_id))
conn.commit()
if cursor.rowcount > 0:
logger.info(f"Cached Deezer ID {deezer_id} for Spotify artist {spotify_artist_id}")
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error caching watchlist Deezer ID: {e}")
return False
# === Discovery Feature Methods ===
def add_or_update_similar_artist(self, source_artist_id: str, similar_artist_name: str,
similar_artist_spotify_id: Optional[str] = None,
similar_artist_itunes_id: Optional[str] = None,
similarity_rank: int = 1,
profile_id: int = 1,
image_url: Optional[str] = None,
genres: Optional[list] = None,
popularity: int = 0,
similar_artist_deezer_id: Optional[str] = None) -> bool:
"""Add or update a similar artist recommendation (supports Spotify, iTunes, and Deezer IDs)"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
genres_json = json.dumps(genres) if genres else None
# Use artist name as the unique key (allows storing both IDs for same artist)
cursor.execute("""
INSERT INTO similar_artists
(source_artist_id, similar_artist_spotify_id, similar_artist_itunes_id, similar_artist_deezer_id, similar_artist_name,
similarity_rank, occurrence_count, last_updated, profile_id,
image_url, genres, popularity, metadata_updated_at)
VALUES (?, ?, ?, ?, ?, ?, 1, CURRENT_TIMESTAMP, ?, ?, ?, ?, CURRENT_TIMESTAMP)
ON CONFLICT(profile_id, source_artist_id, similar_artist_name)
DO UPDATE SET
similar_artist_spotify_id = COALESCE(excluded.similar_artist_spotify_id, similar_artist_spotify_id),
similar_artist_itunes_id = COALESCE(excluded.similar_artist_itunes_id, similar_artist_itunes_id),
similar_artist_deezer_id = COALESCE(excluded.similar_artist_deezer_id, similar_artist_deezer_id),
similarity_rank = excluded.similarity_rank,
occurrence_count = occurrence_count + 1,
last_updated = CURRENT_TIMESTAMP,
image_url = COALESCE(excluded.image_url, image_url),
genres = COALESCE(excluded.genres, genres),
popularity = CASE WHEN excluded.popularity > 0 THEN excluded.popularity ELSE popularity END,
metadata_updated_at = CASE WHEN excluded.image_url IS NOT NULL THEN CURRENT_TIMESTAMP ELSE metadata_updated_at END
""", (source_artist_id, similar_artist_spotify_id, similar_artist_itunes_id, similar_artist_deezer_id, similar_artist_name,
similarity_rank, profile_id, image_url, genres_json, popularity))
conn.commit()
return True
except Exception as e:
logger.error(f"Error adding similar artist: {e}")
return False
def get_similar_artists_for_source(self, source_artist_id: str, profile_id: int = 1) -> List[SimilarArtist]:
"""Get all similar artists for a given source artist"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
SELECT * FROM similar_artists
WHERE source_artist_id = ? AND profile_id = ?
ORDER BY similarity_rank ASC
""", (source_artist_id, profile_id))
rows = cursor.fetchall()
return [SimilarArtist(
id=row['id'],
source_artist_id=row['source_artist_id'],
similar_artist_spotify_id=row['similar_artist_spotify_id'],
similar_artist_itunes_id=row['similar_artist_itunes_id'] if 'similar_artist_itunes_id' in row.keys() else None,
similar_artist_name=row['similar_artist_name'],
similarity_rank=row['similarity_rank'],
occurrence_count=row['occurrence_count'],
last_updated=datetime.fromisoformat(row['last_updated']),
similar_artist_deezer_id=row['similar_artist_deezer_id'] if 'similar_artist_deezer_id' in row.keys() else None,
) for row in rows]
except Exception as e:
logger.error(f"Error getting similar artists: {e}")
return []
def get_similar_artists_missing_itunes_ids(self, source_artist_id: str, profile_id: int = 1) -> List[SimilarArtist]:
"""Get similar artists for a source that are missing iTunes IDs (for backfill)"""
return self.get_similar_artists_missing_fallback_ids(source_artist_id, 'itunes', profile_id)
def get_similar_artists_missing_fallback_ids(self, source_artist_id: str, fallback_source: str = 'itunes', profile_id: int = 1) -> List[SimilarArtist]:
"""Get similar artists missing IDs for the given fallback source (for backfill)"""
try:
col = 'similar_artist_deezer_id' if fallback_source == 'deezer' else 'similar_artist_itunes_id'
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute(f"""
SELECT * FROM similar_artists
WHERE source_artist_id = ? AND profile_id = ?
AND ({col} IS NULL OR {col} = '')
ORDER BY occurrence_count DESC
LIMIT 50
""", (source_artist_id, profile_id))
rows = cursor.fetchall()
return [SimilarArtist(
id=row['id'],
source_artist_id=row['source_artist_id'],
similar_artist_spotify_id=row['similar_artist_spotify_id'],
similar_artist_itunes_id=row['similar_artist_itunes_id'] if 'similar_artist_itunes_id' in row.keys() else None,
similar_artist_name=row['similar_artist_name'],
similarity_rank=row['similarity_rank'],
occurrence_count=row['occurrence_count'],
last_updated=datetime.fromisoformat(row['last_updated']),
similar_artist_deezer_id=row['similar_artist_deezer_id'] if 'similar_artist_deezer_id' in row.keys() else None,
) for row in rows]
except Exception as e:
logger.error(f"Error getting similar artists missing {fallback_source} IDs: {e}")
return []
def update_similar_artist_itunes_id(self, similar_artist_id: int, itunes_id: str) -> bool:
"""Update a similar artist's iTunes ID (for backfill)"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
UPDATE similar_artists
SET similar_artist_itunes_id = ?
WHERE id = ?
""", (itunes_id, similar_artist_id))
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error updating similar artist iTunes ID: {e}")
return False
def update_similar_artist_deezer_id(self, similar_artist_id: int, deezer_id: str) -> bool:
"""Update a similar artist's Deezer ID (for backfill)"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
UPDATE similar_artists
SET similar_artist_deezer_id = ?
WHERE id = ?
""", (deezer_id, similar_artist_id))
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error updating similar artist Deezer ID: {e}")
return False
def update_similar_artist_metadata(self, similar_artist_id: int, image_url: str = None,
genres: list = None, popularity: int = None) -> bool:
"""Cache artist metadata (image, genres, popularity) to avoid repeated API calls"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
genres_json = json.dumps(genres) if genres else None
cursor.execute("""
UPDATE similar_artists
SET image_url = ?, genres = ?, popularity = ?, metadata_updated_at = CURRENT_TIMESTAMP
WHERE id = ?
""", (image_url, genres_json, popularity or 0, similar_artist_id))
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error updating similar artist metadata: {e}")
return False
def update_similar_artist_metadata_by_external_id(self, external_id: str, source: str = 'spotify',
image_url: str = None, genres: list = None,
popularity: int = None) -> bool:
"""Cache artist metadata by Spotify or iTunes ID (updates all rows for that artist)"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
genres_json = json.dumps(genres) if genres else None
if source == 'spotify':
where_clause = "similar_artist_spotify_id = ?"
elif source == 'deezer':
where_clause = "similar_artist_deezer_id = ?"
else:
where_clause = "similar_artist_itunes_id = ?"
cursor.execute(f"""
UPDATE similar_artists
SET image_url = ?, genres = ?, popularity = ?, metadata_updated_at = CURRENT_TIMESTAMP
WHERE {where_clause}
""", (image_url, genres_json, popularity or 0, external_id))
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error updating similar artist metadata by external ID: {e}")
return False
def has_fresh_similar_artists(self, source_artist_id: str, days_threshold: int = 30, require_itunes: bool = True, require_spotify: bool = False, profile_id: int = 1) -> bool:
"""
Check if we have cached similar artists that are still fresh (<days_threshold old).
Also checks that similar artists have the required provider IDs.
Args:
source_artist_id: The source artist ID to check
days_threshold: Maximum age in days to consider fresh
require_itunes: If True, also requires iTunes IDs to be present (for seamless provider switching)
require_spotify: If True, also requires Spotify IDs to be present (for Spotify discovery)
profile_id: Profile to check freshness for
Returns True if we have recent data with required IDs, False if data is stale, missing, or incomplete.
"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
SELECT COUNT(*) as count, MAX(last_updated) as last_updated
FROM similar_artists
WHERE source_artist_id = ? AND profile_id = ?
""", (source_artist_id, profile_id))
row = cursor.fetchone()
if not row or row['count'] == 0:
# No similar artists cached
return False
# Check if data is fresh
last_updated = datetime.fromisoformat(row['last_updated'])
days_since_update = (datetime.now() - last_updated).total_seconds() / 86400 # seconds to days
if days_since_update >= days_threshold:
return False
# Check if we have iTunes IDs (for seamless provider switching)
if require_itunes:
cursor.execute("""
SELECT COUNT(*) as total,
SUM(CASE WHEN similar_artist_itunes_id IS NOT NULL AND similar_artist_itunes_id != '' THEN 1 ELSE 0 END) as has_itunes
FROM similar_artists
WHERE source_artist_id = ? AND profile_id = ?
""", (source_artist_id, profile_id))
id_row = cursor.fetchone()
if id_row and id_row['total'] > 0:
# If less than 50% have iTunes IDs, consider stale and refetch
itunes_ratio = id_row['has_itunes'] / id_row['total']
if itunes_ratio < 0.5:
logger.debug(f"Similar artists for {source_artist_id} missing iTunes IDs ({id_row['has_itunes']}/{id_row['total']}), will refetch")
return False
# Check if we have Spotify IDs (for Spotify discovery)
if require_spotify:
cursor.execute("""
SELECT COUNT(*) as total,
SUM(CASE WHEN similar_artist_spotify_id IS NOT NULL AND similar_artist_spotify_id != '' THEN 1 ELSE 0 END) as has_spotify
FROM similar_artists
WHERE source_artist_id = ? AND profile_id = ?
""", (source_artist_id, profile_id))
id_row = cursor.fetchone()
if id_row and id_row['total'] > 0:
# If less than 50% have Spotify IDs, consider stale and refetch
spotify_ratio = id_row['has_spotify'] / id_row['total']
if spotify_ratio < 0.5:
logger.debug(f"Similar artists for {source_artist_id} missing Spotify IDs ({id_row['has_spotify']}/{id_row['total']}), will refetch")
return False
return True
except Exception as e:
logger.error(f"Error checking similar artists freshness: {e}")
return False # Default to re-fetching on error
def get_top_similar_artists(self, limit: int = 50, profile_id: int = 1) -> List[SimilarArtist]:
"""Get top similar artists excluding watchlist artists, with cycling support"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
SELECT
MAX(sa.id) as id,
MAX(sa.source_artist_id) as source_artist_id,
MAX(sa.similar_artist_spotify_id) as similar_artist_spotify_id,
MAX(sa.similar_artist_itunes_id) as similar_artist_itunes_id,
MAX(sa.similar_artist_deezer_id) as similar_artist_deezer_id,
sa.similar_artist_name,
AVG(sa.similarity_rank) as similarity_rank,
SUM(sa.occurrence_count) as occurrence_count,
MAX(sa.last_updated) as last_updated,
MAX(sa.image_url) as image_url,
MAX(sa.genres) as genres,
MAX(sa.popularity) as popularity
FROM similar_artists sa
LEFT JOIN watchlist_artists wa ON (
(sa.similar_artist_spotify_id IS NOT NULL AND sa.similar_artist_spotify_id = wa.spotify_artist_id)
OR (sa.similar_artist_itunes_id IS NOT NULL AND sa.similar_artist_itunes_id = wa.itunes_artist_id)
OR (sa.similar_artist_deezer_id IS NOT NULL AND sa.similar_artist_deezer_id = wa.deezer_artist_id)
OR LOWER(sa.similar_artist_name) = LOWER(wa.artist_name)
) AND wa.profile_id = ?
WHERE wa.id IS NULL AND sa.profile_id = ?
GROUP BY sa.similar_artist_name
ORDER BY
CASE WHEN MAX(sa.last_featured) IS NULL THEN 0 ELSE 1 END,
MAX(sa.last_featured) ASC,
occurrence_count DESC,
similarity_rank ASC
LIMIT ?
""", (profile_id, profile_id, limit))
rows = cursor.fetchall()
results = []
for row in rows:
genres_raw = row['genres'] if 'genres' in row.keys() else None
try:
genres_list = json.loads(genres_raw) if genres_raw else None
except (json.JSONDecodeError, TypeError):
genres_list = None
results.append(SimilarArtist(
id=row['id'],
source_artist_id=row['source_artist_id'],
similar_artist_spotify_id=row['similar_artist_spotify_id'],
similar_artist_itunes_id=row['similar_artist_itunes_id'] if 'similar_artist_itunes_id' in row.keys() else None,
similar_artist_deezer_id=row['similar_artist_deezer_id'] if 'similar_artist_deezer_id' in row.keys() else None,
similar_artist_name=row['similar_artist_name'],
similarity_rank=int(row['similarity_rank']),
occurrence_count=row['occurrence_count'],
last_updated=datetime.fromisoformat(row['last_updated']),
image_url=row['image_url'] if 'image_url' in row.keys() else None,
genres=genres_list,
popularity=row['popularity'] if 'popularity' in row.keys() else 0,
))
return results
except Exception as e:
logger.error(f"Error getting top similar artists: {e}")
return []
def mark_artists_featured(self, artist_names: List[str]):
"""Update last_featured timestamp for artists shown in the hero slider"""
if not artist_names:
return
try:
with self._get_connection() as conn:
cursor = conn.cursor()
placeholders = ','.join('?' for _ in artist_names)
cursor.execute(f"""
UPDATE similar_artists
SET last_featured = CURRENT_TIMESTAMP
WHERE similar_artist_name IN ({placeholders})
""", artist_names)
conn.commit()
except Exception as e:
logger.error(f"Error marking artists as featured: {e}")
def add_to_discovery_pool(self, track_data: Dict[str, Any], source: str = 'spotify', profile_id: int = 1) -> bool:
"""Add a track to the discovery pool (supports both Spotify and iTunes sources)"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Check if track already exists based on source (scoped to profile)
if source == 'spotify' and track_data.get('spotify_track_id'):
cursor.execute("SELECT COUNT(*) as count FROM discovery_pool WHERE spotify_track_id = ? AND source = 'spotify' AND profile_id = ?",
(track_data['spotify_track_id'], profile_id))
elif source == 'itunes' and track_data.get('itunes_track_id'):
cursor.execute("SELECT COUNT(*) as count FROM discovery_pool WHERE itunes_track_id = ? AND source = 'itunes' AND profile_id = ?",
(track_data['itunes_track_id'], profile_id))
elif source == 'deezer' and track_data.get('deezer_track_id'):
cursor.execute("SELECT COUNT(*) as count FROM discovery_pool WHERE deezer_track_id = ? AND source = 'deezer' AND profile_id = ?",
(track_data['deezer_track_id'], profile_id))
else:
# Fallback check by track name and artist
cursor.execute("SELECT COUNT(*) as count FROM discovery_pool WHERE track_name = ? AND artist_name = ? AND source = ? AND profile_id = ?",
(track_data['track_name'], track_data['artist_name'], source, profile_id))
if cursor.fetchone()['count'] > 0:
return True # Already in pool
# Get artist genres if available
artist_genres = track_data.get('artist_genres')
artist_genres_json = json.dumps(artist_genres) if artist_genres else None
cursor.execute("""
INSERT INTO discovery_pool
(spotify_track_id, spotify_album_id, spotify_artist_id,
itunes_track_id, itunes_album_id, itunes_artist_id,
deezer_track_id, deezer_album_id, deezer_artist_id,
source, track_name, artist_name, album_name, album_cover_url,
duration_ms, popularity, release_date, is_new_release, track_data_json, artist_genres, added_date, profile_id)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, CURRENT_TIMESTAMP, ?)
""", (
track_data.get('spotify_track_id'),
track_data.get('spotify_album_id'),
track_data.get('spotify_artist_id'),
track_data.get('itunes_track_id'),
track_data.get('itunes_album_id'),
track_data.get('itunes_artist_id'),
track_data.get('deezer_track_id'),
track_data.get('deezer_album_id'),
track_data.get('deezer_artist_id'),
source,
track_data['track_name'],
track_data['artist_name'],
track_data['album_name'],
track_data.get('album_cover_url'),
track_data['duration_ms'],
track_data.get('popularity', 0),
track_data['release_date'],
track_data.get('is_new_release', False),
json.dumps(track_data['track_data_json']),
artist_genres_json,
profile_id
))
conn.commit()
return True
except Exception as e:
logger.error(f"Error adding to discovery pool: {e}")
return False
def rotate_discovery_pool(self, max_tracks: int = 2000, remove_count: int = 500, profile_id: int = 1):
"""Remove oldest tracks from discovery pool if it exceeds max_tracks"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Check current count for this profile
cursor.execute("SELECT COUNT(*) as count FROM discovery_pool WHERE profile_id = ?", (profile_id,))
current_count = cursor.fetchone()['count']
if current_count > max_tracks:
# Remove oldest tracks for this profile
cursor.execute("""
DELETE FROM discovery_pool
WHERE id IN (
SELECT id FROM discovery_pool
WHERE profile_id = ?
ORDER BY added_date ASC
LIMIT ?
)
""", (profile_id, remove_count))
conn.commit()
logger.info(f"Removed {remove_count} oldest tracks from discovery pool")
except Exception as e:
logger.error(f"Error rotating discovery pool: {e}")
def get_discovery_pool_tracks(self, limit: int = 100, new_releases_only: bool = False, source: Optional[str] = None, profile_id: int = 1) -> List[DiscoveryTrack]:
"""Get tracks from discovery pool, optionally filtered by source ('spotify' or 'itunes')"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Build query with optional source filter
where_clauses = ["profile_id = ?"]
params = [profile_id]
if new_releases_only:
where_clauses.append("is_new_release = 1")
if source:
where_clauses.append("source = ?")
params.append(source)
where_sql = f"WHERE {' AND '.join(where_clauses)}" if where_clauses else ""
params.append(limit)
cursor.execute(f"""
SELECT * FROM discovery_pool
{where_sql}
ORDER BY added_date DESC
LIMIT ?
""", params)
rows = cursor.fetchall()
row_keys = rows[0].keys() if rows else []
return [DiscoveryTrack(
id=row['id'],
spotify_track_id=row['spotify_track_id'],
spotify_album_id=row['spotify_album_id'],
spotify_artist_id=row['spotify_artist_id'],
itunes_track_id=row['itunes_track_id'] if 'itunes_track_id' in row_keys else None,
itunes_album_id=row['itunes_album_id'] if 'itunes_album_id' in row_keys else None,
itunes_artist_id=row['itunes_artist_id'] if 'itunes_artist_id' in row_keys else None,
deezer_track_id=row['deezer_track_id'] if 'deezer_track_id' in row_keys else None,
deezer_album_id=row['deezer_album_id'] if 'deezer_album_id' in row_keys else None,
deezer_artist_id=row['deezer_artist_id'] if 'deezer_artist_id' in row_keys else None,
source=row['source'] if 'source' in row_keys else 'spotify',
track_name=row['track_name'],
artist_name=row['artist_name'],
album_name=row['album_name'],
album_cover_url=row['album_cover_url'],
duration_ms=row['duration_ms'],
popularity=row['popularity'],
release_date=row['release_date'],
is_new_release=bool(row['is_new_release']),
track_data_json=row['track_data_json'],
added_date=datetime.fromisoformat(row['added_date'])
) for row in rows]
except Exception as e:
logger.error(f"Error getting discovery pool tracks: {e}")
return []
def cache_discovery_recent_album(self, album_data: Dict[str, Any], source: str = 'spotify', profile_id: int = 1) -> bool:
"""Cache a recent album for the discover page (supports both Spotify and iTunes sources)"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
INSERT OR REPLACE INTO discovery_recent_albums
(album_spotify_id, album_itunes_id, album_deezer_id,
artist_spotify_id, artist_itunes_id, artist_deezer_id, source,
album_name, artist_name, album_cover_url, release_date, album_type, cached_date, profile_id)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, CURRENT_TIMESTAMP, ?)
""", (
album_data.get('album_spotify_id'),
album_data.get('album_itunes_id'),
album_data.get('album_deezer_id'),
album_data.get('artist_spotify_id'),
album_data.get('artist_itunes_id'),
album_data.get('artist_deezer_id'),
source,
album_data['album_name'],
album_data['artist_name'],
album_data.get('album_cover_url'),
album_data['release_date'],
album_data.get('album_type', 'album'),
profile_id
))
conn.commit()
return True
except Exception as e:
logger.error(f"Error caching discovery recent album: {e}")
return False
def get_discovery_recent_albums(self, limit: int = 10, source: Optional[str] = None, profile_id: int = 1) -> List[Dict[str, Any]]:
"""Get cached recent albums for discover page, optionally filtered by source"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
if source:
cursor.execute("""
SELECT * FROM discovery_recent_albums
WHERE source = ? AND profile_id = ?
ORDER BY release_date DESC
LIMIT ?
""", (source, profile_id, limit))
else:
cursor.execute("""
SELECT * FROM discovery_recent_albums
WHERE profile_id = ?
ORDER BY release_date DESC
LIMIT ?
""", (profile_id, limit))
rows = cursor.fetchall()
row_keys = rows[0].keys() if rows else []
return [{
'album_spotify_id': row['album_spotify_id'],
'album_itunes_id': row['album_itunes_id'] if 'album_itunes_id' in row_keys else None,
'album_deezer_id': row['album_deezer_id'] if 'album_deezer_id' in row_keys else None,
'album_name': row['album_name'],
'artist_name': row['artist_name'],
'artist_spotify_id': row['artist_spotify_id'],
'artist_itunes_id': row['artist_itunes_id'] if 'artist_itunes_id' in row_keys else None,
'artist_deezer_id': row['artist_deezer_id'] if 'artist_deezer_id' in row_keys else None,
'album_cover_url': row['album_cover_url'],
'release_date': row['release_date'],
'album_type': row['album_type'],
'source': row['source'] if 'source' in row_keys else 'spotify'
} for row in rows]
except Exception as e:
logger.error(f"Error getting discovery recent albums: {e}")
return []
def clear_discovery_recent_albums(self, profile_id: int = 1) -> bool:
"""Clear cached recent albums for a profile"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("DELETE FROM discovery_recent_albums WHERE profile_id = ?", (profile_id,))
conn.commit()
return True
except Exception as e:
logger.error(f"Error clearing discovery recent albums: {e}")
return False
def save_curated_playlist(self, playlist_type: str, track_ids: List[str], profile_id: int = 1) -> bool:
"""Save a curated playlist selection (stays same until next discovery pool update)"""
try:
import json
with self._get_connection() as conn:
cursor = conn.cursor()
# Delete existing for this profile+type, then insert
cursor.execute("DELETE FROM discovery_curated_playlists WHERE playlist_type = ? AND profile_id = ?",
(playlist_type, profile_id))
cursor.execute("""
INSERT INTO discovery_curated_playlists
(playlist_type, track_ids_json, curated_date, profile_id)
VALUES (?, ?, CURRENT_TIMESTAMP, ?)
""", (playlist_type, json.dumps(track_ids), profile_id))
conn.commit()
return True
except Exception as e:
logger.error(f"Error saving curated playlist {playlist_type}: {e}")
return False
def get_curated_playlist(self, playlist_type: str, profile_id: int = 1) -> Optional[List[str]]:
"""Get saved curated playlist track IDs for the given profile"""
try:
import json
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
SELECT track_ids_json FROM discovery_curated_playlists
WHERE playlist_type = ? AND profile_id = ?
""", (playlist_type, profile_id))
row = cursor.fetchone()
if row:
return json.loads(row['track_ids_json'])
return None
except Exception as e:
logger.error(f"Error getting curated playlist {playlist_type}: {e}")
return None
def should_populate_discovery_pool(self, hours_threshold: int = 24, profile_id: int = 1) -> bool:
"""Check if discovery pool should be populated (hasn't been updated in X hours)"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
SELECT last_populated_timestamp
FROM discovery_pool_metadata
WHERE profile_id = ?
""", (profile_id,))
row = cursor.fetchone()
if not row:
# Never populated before
return True
last_populated = datetime.fromisoformat(row['last_populated_timestamp'])
hours_since_update = (datetime.now() - last_populated).total_seconds() / 3600
return hours_since_update >= hours_threshold
except Exception as e:
logger.error(f"Error checking discovery pool timestamp: {e}")
return True # Default to allowing population on error
def update_discovery_pool_timestamp(self, track_count: int, profile_id: int = 1) -> bool:
"""Update the last populated timestamp and track count"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
INSERT INTO discovery_pool_metadata
(profile_id, last_populated_timestamp, track_count, updated_at)
VALUES (?, ?, ?, CURRENT_TIMESTAMP)
ON CONFLICT(profile_id) DO UPDATE SET
last_populated_timestamp = excluded.last_populated_timestamp,
track_count = excluded.track_count,
updated_at = CURRENT_TIMESTAMP
""", (profile_id, datetime.now().isoformat(), track_count))
conn.commit()
return True
except Exception as e:
logger.error(f"Error updating discovery pool timestamp: {e}")
return False
def cleanup_old_discovery_tracks(self, days_threshold: int = 365) -> int:
"""Remove tracks from discovery pool older than X days. Returns count of deleted tracks."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Delete tracks older than threshold
cursor.execute("""
DELETE FROM discovery_pool
WHERE added_date < datetime('now', '-' || ? || ' days')
""", (days_threshold,))
deleted_count = cursor.rowcount
conn.commit()
if deleted_count > 0:
logger.info(f"Cleaned up {deleted_count} discovery tracks older than {days_threshold} days")
return deleted_count
except Exception as e:
logger.error(f"Error cleaning up old discovery tracks: {e}")
return 0
def add_recent_release(self, watchlist_artist_id: int, album_data: Dict[str, Any], profile_id: int = 1) -> bool:
"""Add a recent release to the recent_releases table"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
INSERT OR IGNORE INTO recent_releases
(watchlist_artist_id, album_spotify_id, album_name, release_date, album_cover_url, track_count, added_date, profile_id)
VALUES (?, ?, ?, ?, ?, ?, CURRENT_TIMESTAMP, ?)
""", (
watchlist_artist_id,
album_data['album_spotify_id'],
album_data['album_name'],
album_data['release_date'],
album_data.get('album_cover_url'),
album_data.get('track_count', 0),
profile_id
))
conn.commit()
return True
except Exception as e:
logger.error(f"Error adding recent release: {e}")
return False
def get_recent_releases(self, limit: int = 50, profile_id: int = 1) -> List[RecentRelease]:
"""Get recent releases from watchlist artists for the given profile"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
SELECT * FROM recent_releases
WHERE profile_id = ?
ORDER BY release_date DESC, added_date DESC
LIMIT ?
""", (profile_id, limit))
rows = cursor.fetchall()
return [RecentRelease(
id=row['id'],
watchlist_artist_id=row['watchlist_artist_id'],
album_spotify_id=row['album_spotify_id'],
album_itunes_id=row['album_itunes_id'] if 'album_itunes_id' in row.keys() else None,
album_deezer_id=row['album_deezer_id'] if 'album_deezer_id' in row.keys() else None,
source=row['source'] if 'source' in row.keys() else 'spotify',
album_name=row['album_name'],
release_date=row['release_date'],
album_cover_url=row['album_cover_url'],
track_count=row['track_count'],
added_date=datetime.fromisoformat(row['added_date'])
) for row in rows]
except Exception as e:
logger.error(f"Error getting recent releases: {e}")
return []
def get_database_info(self) -> Dict[str, Any]:
"""Get comprehensive database information for all servers (legacy method)"""
try:
stats = self.get_statistics()
# Get database file size
db_size = self.database_path.stat().st_size if self.database_path.exists() else 0
db_size_mb = db_size / (1024 * 1024)
# Get last update time (most recent updated_at timestamp)
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT MAX(updated_at) as last_update
FROM (
SELECT updated_at FROM artists
UNION ALL
SELECT updated_at FROM albums
UNION ALL
SELECT updated_at FROM tracks
)
""")
result = cursor.fetchone()
last_update = result['last_update'] if result and result['last_update'] else None
# Get last full refresh
last_full_refresh = self.get_last_full_refresh()
return {
**stats,
'database_size_mb': round(db_size_mb, 2),
'database_path': str(self.database_path),
'last_update': last_update,
'last_full_refresh': last_full_refresh
}
except Exception as e:
logger.error(f"Error getting database info: {e}")
return {
'artists': 0,
'albums': 0,
'tracks': 0,
'database_size_mb': 0.0,
'database_path': str(self.database_path),
'last_update': None,
'last_full_refresh': None
}
def get_database_info_for_server(self, server_source: str = None) -> Dict[str, Any]:
"""Get comprehensive database information filtered by server source"""
try:
# Import here to avoid circular imports
from config.settings import config_manager
# If no server specified, use active server
if server_source is None:
server_source = config_manager.get_active_media_server()
stats = self.get_statistics_for_server(server_source)
# Get database file size (always total, not server-specific)
db_size = self.database_path.stat().st_size if self.database_path.exists() else 0
db_size_mb = db_size / (1024 * 1024)
# Get last update time for this server
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT MAX(updated_at) as last_update
FROM (
SELECT updated_at FROM artists WHERE server_source = ?
UNION ALL
SELECT updated_at FROM albums WHERE server_source = ?
UNION ALL
SELECT updated_at FROM tracks WHERE server_source = ?
)
""", (server_source, server_source, server_source))
result = cursor.fetchone()
last_update = result['last_update'] if result and result['last_update'] else None
# Get last full refresh (global setting, not server-specific)
last_full_refresh = self.get_last_full_refresh()
return {
**stats,
'database_size_mb': round(db_size_mb, 2),
'database_path': str(self.database_path),
'last_update': last_update,
'last_full_refresh': last_full_refresh,
'server_source': server_source
}
except Exception as e:
logger.error(f"Error getting database info for {server_source}: {e}")
return {
'artists': 0,
'albums': 0,
'tracks': 0,
'database_size_mb': 0.0,
'database_path': str(self.database_path),
'last_update': None,
'last_full_refresh': None,
'server_source': server_source
}
def get_library_artists(self, search_query: str = "", letter: str = "", page: int = 1, limit: int = 50, watchlist_filter: str = "all", profile_id: int = 1) -> Dict[str, Any]:
"""
Get artists for the library page with search, filtering, and pagination
Args:
search_query: Search term to filter artists by name
letter: Filter by first letter (a-z, #, or "" for all)
page: Page number (1-based)
limit: Number of results per page
watchlist_filter: Filter by watchlist status ("all", "watched", "unwatched")
Returns:
Dict containing artists list, pagination info, and total count
"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Build WHERE clause
where_conditions = []
params = []
if search_query:
where_conditions.append("LOWER(name) LIKE LOWER(?)")
params.append(f"%{search_query}%")
if letter and letter != "all":
if letter == "#":
# Numbers and special characters
where_conditions.append("SUBSTR(UPPER(name), 1, 1) NOT GLOB '[A-Z]'")
else:
# Specific letter
where_conditions.append("UPPER(SUBSTR(name, 1, 1)) = UPPER(?)")
params.append(letter)
# Get active server for filtering
from config.settings import config_manager
active_server = config_manager.get_active_media_server()
# Add active server filter to where conditions
where_conditions.append("a.server_source = ?")
params.append(active_server)
where_clause = " AND ".join(where_conditions) if where_conditions else "1=1"
# Pre-fetch watchlist data for this profile (small table, single fast query)
cursor.execute("SELECT spotify_artist_id, itunes_artist_id, LOWER(artist_name) as name_lower FROM watchlist_artists WHERE profile_id = ?", (profile_id,))
watchlist_rows = cursor.fetchall()
wl_spotify = {r['spotify_artist_id'] for r in watchlist_rows if r['spotify_artist_id']}
wl_itunes = {r['itunes_artist_id'] for r in watchlist_rows if r['itunes_artist_id']}
wl_names = {r['name_lower'] for r in watchlist_rows if r['name_lower']}
# Apply watchlist filter as WHERE conditions using IN clauses
if watchlist_filter in ("watched", "unwatched"):
match_parts = []
match_params = []
if wl_spotify:
match_parts.append(f"(a.spotify_artist_id IS NOT NULL AND a.spotify_artist_id IN ({','.join('?' * len(wl_spotify))}))")
match_params.extend(wl_spotify)
if wl_itunes:
match_parts.append(f"(a.itunes_artist_id IS NOT NULL AND a.itunes_artist_id IN ({','.join('?' * len(wl_itunes))}))")
match_params.extend(wl_itunes)
if wl_names:
match_parts.append(f"LOWER(a.name) IN ({','.join('?' * len(wl_names))})")
match_params.extend(wl_names)
if match_parts:
combined = ' OR '.join(match_parts)
if watchlist_filter == "watched":
where_clause += f" AND ({combined})"
else:
where_clause += f" AND NOT ({combined})"
params.extend(match_params)
elif watchlist_filter == "watched":
# Empty watchlist, no artists can match
where_clause += " AND 0"
# Step 1: Fast count query — no joins, just filter canonical artists
count_query = f"""
SELECT COUNT(*) as total_count
FROM artists a
WHERE {where_clause}
AND a.id = (SELECT MIN(a2.id) FROM artists a2
WHERE a2.name = a.name AND a2.server_source = a.server_source)
"""
cursor.execute(count_query, params)
total_count = cursor.fetchone()['total_count']
# Step 2: Get paginated artist rows (no album/track joins — fast)
offset = (page - 1) * limit
artists_query = f"""
SELECT
a.id,
a.name,
a.thumb_url,
a.genres,
a.musicbrainz_id,
a.spotify_artist_id,
a.itunes_artist_id,
a.deezer_id,
a.audiodb_id,
a.lastfm_url,
a.genius_url,
a.tidal_id,
a.qobuz_id,
a.soul_id,
a.server_source
FROM artists a
WHERE {where_clause}
AND a.id = (SELECT MIN(a2.id) FROM artists a2
WHERE a2.name = a.name AND a2.server_source = a.server_source)
ORDER BY a.name COLLATE NOCASE
LIMIT ? OFFSET ?
"""
query_params = params + [limit, offset]
cursor.execute(artists_query, query_params)
artist_rows = cursor.fetchall()
# Step 3: Batch-fetch album/track counts only for the 75 artists on this page
artist_ids_on_page = [row['id'] for row in artist_rows]
counts_map = {}
if artist_ids_on_page:
# Get all artist IDs that share names with the page artists (for dedup merging)
name_pairs = [(row['name'], row['server_source']) for row in artist_rows]
# Build counts query using artist IDs directly
# Get all artist IDs sharing names with page artists
id_placeholders = ','.join(['?'] * len(artist_ids_on_page))
cursor.execute(f"""
SELECT id, name, server_source FROM artists
WHERE id IN ({id_placeholders})
""", artist_ids_on_page)
page_info = cursor.fetchall()
# Find all related artist IDs (same name+server) for count merging
or_clauses = []
or_params = []
for pi in page_info:
or_clauses.append("(ar.name = ? AND ar.server_source = ?)")
or_params.extend([pi['name'], pi['server_source']])
cursor.execute(f"""
SELECT
ar.name as artist_name, ar.server_source as artist_source,
COUNT(DISTINCT al.id) as album_count,
COUNT(DISTINCT t.id) as track_count
FROM artists ar
LEFT JOIN albums al ON al.artist_id = ar.id
LEFT JOIN tracks t ON t.album_id = al.id
WHERE {' OR '.join(or_clauses)}
GROUP BY ar.name, ar.server_source
""", or_params)
# Map back to canonical IDs
name_to_canonical = {(pi['name'], pi['server_source']): pi['id'] for pi in page_info}
for crow in cursor.fetchall():
cid = name_to_canonical.get((crow['artist_name'], crow['artist_source']))
if cid:
counts_map[cid] = (crow['album_count'], crow['track_count'])
rows = artist_rows
# Convert to artist objects
artists = []
for row in rows:
# Parse genres from GROUP_CONCAT result
genres_str = row['genres'] or ''
genres = []
if genres_str:
# Split by comma and clean up duplicates
genre_set = set()
for genre in genres_str.split(','):
if genre and genre.strip():
genre_set.update(g.strip() for g in genre.split(',') if g.strip())
genres = list(genre_set)
artist = DatabaseArtist(
id=row['id'],
name=row['name'],
thumb_url=row['thumb_url'] if row['thumb_url'] else None,
genres=genres
)
# Determine watchlist status via set lookups
is_watched = (
(row['spotify_artist_id'] and row['spotify_artist_id'] in wl_spotify)
or (row['itunes_artist_id'] and row['itunes_artist_id'] in wl_itunes)
or (row['name'] and row['name'].lower() in wl_names)
)
# Add stats
artist_data = {
'id': artist.id,
'name': artist.name,
'image_url': artist.thumb_url,
'genres': artist.genres,
'musicbrainz_id': row['musicbrainz_id'],
'spotify_artist_id': row['spotify_artist_id'],
'itunes_artist_id': row['itunes_artist_id'],
'deezer_id': row['deezer_id'],
'audiodb_id': row['audiodb_id'],
'lastfm_url': row['lastfm_url'],
'genius_url': row['genius_url'],
'tidal_id': row['tidal_id'],
'qobuz_id': row['qobuz_id'],
'soul_id': row['soul_id'],
'album_count': counts_map.get(row['id'], (0, 0))[0],
'track_count': counts_map.get(row['id'], (0, 0))[1],
'is_watched': bool(is_watched)
}
artists.append(artist_data)
# Calculate pagination info
total_pages = (total_count + limit - 1) // limit
has_prev = page > 1
has_next = page < total_pages
return {
'artists': artists,
'pagination': {
'page': page,
'limit': limit,
'total_count': total_count,
'total_pages': total_pages,
'has_prev': has_prev,
'has_next': has_next
}
}
except Exception as e:
logger.error(f"Error getting library artists: {e}")
return {
'artists': [],
'pagination': {
'page': 1,
'limit': limit,
'total_count': 0,
'total_pages': 0,
'has_prev': False,
'has_next': False
}
}
def get_artist_discography(self, artist_id) -> Dict[str, Any]:
"""
Get complete artist information and their releases from the database.
This will be combined with Spotify data for the full discography view.
Args:
artist_id: The artist ID from the database (string or int)
Returns:
Dict containing artist info and their owned releases
"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Get artist information
cursor.execute("""
SELECT
id, name, thumb_url, genres, server_source,
musicbrainz_id, deezer_id, audiodb_id,
spotify_artist_id, itunes_artist_id, lastfm_url, genius_url,
tidal_id, qobuz_id, soul_id,
lastfm_listeners, lastfm_playcount, lastfm_tags, lastfm_bio
FROM artists
WHERE id = ?
""", (artist_id,))
artist_row = cursor.fetchone()
if not artist_row:
return {
'success': False,
'error': f'Artist with ID {artist_id} not found'
}
# Parse genres
genres_str = artist_row['genres'] or ''
genres = []
if genres_str:
# Try to parse as JSON first (new format)
try:
import json
parsed_genres = json.loads(genres_str)
if isinstance(parsed_genres, list):
genres = parsed_genres
else:
genres = [str(parsed_genres)]
except (json.JSONDecodeError, ValueError):
# Fall back to comma-separated format (old format)
genre_set = set()
for genre in genres_str.split(','):
if genre and genre.strip():
genre_set.add(genre.strip())
genres = list(genre_set)
# Get artist's albums with track counts and completion
# Include albums from ALL artists with the same name (fixes duplicate artist issue)
# Group by artist_id+title+year to merge Navidrome split albums (same artist,
# same album split into multiple DB entries) WITHOUT merging across different artists
cursor.execute("""
SELECT
MIN(a.id) as id,
a.title,
a.year,
SUM(a.track_count) as track_count,
MAX(a.thumb_url) as thumb_url,
MAX(a.musicbrainz_release_id) as musicbrainz_release_id,
(SELECT COUNT(*) FROM tracks t WHERE t.album_id IN (
SELECT a2.id FROM albums a2
WHERE a2.artist_id = a.artist_id
AND a2.title = a.title
AND COALESCE(a2.year, '') = COALESCE(a.year, '')
)) as owned_tracks
FROM albums a
WHERE a.artist_id IN (
SELECT id FROM artists
WHERE name = (SELECT name FROM artists WHERE id = ?)
AND server_source = (SELECT server_source FROM artists WHERE id = ?)
)
GROUP BY a.artist_id, a.title, a.year
ORDER BY a.year DESC, a.title
""", (artist_id, artist_id))
album_rows = cursor.fetchall()
# Process albums and categorize by type
albums = []
eps = []
singles = []
# Get total stats for the artist (including all artists with same name)
cursor.execute("""
SELECT
COUNT(*) as album_count,
(SELECT COUNT(*) FROM tracks WHERE album_id IN (
SELECT id FROM albums WHERE artist_id IN (
SELECT id FROM artists
WHERE name = (SELECT name FROM artists WHERE id = ?)
AND server_source = (SELECT server_source FROM artists WHERE id = ?)
)
)) as track_count
FROM albums
WHERE artist_id IN (
SELECT id FROM artists
WHERE name = (SELECT name FROM artists WHERE id = ?)
AND server_source = (SELECT server_source FROM artists WHERE id = ?)
)
""", (artist_id, artist_id, artist_id, artist_id))
stats_row = cursor.fetchone()
album_count = stats_row['album_count'] if stats_row else 0
track_count = stats_row['track_count'] if stats_row else 0
for album_row in album_rows:
# Calculate completion percentage
expected_tracks = album_row['track_count'] or 1
owned_tracks = album_row['owned_tracks'] or 0
completion_percentage = min(100, round((owned_tracks / expected_tracks) * 100))
album_data = {
'id': album_row['id'],
'title': album_row['title'],
'year': album_row['year'],
'image_url': album_row['thumb_url'],
'owned': True, # All albums in our DB are owned
'track_count': album_row['track_count'],
'owned_tracks': owned_tracks,
'musicbrainz_release_id': album_row['musicbrainz_release_id'],
'track_completion': completion_percentage
}
# Categorize based on actual track count and title patterns
# Use actual owned tracks, fallback to expected track count, then to 0
actual_track_count = owned_tracks or album_row['track_count'] or 0
title_lower = album_row['title'].lower()
# Check for single indicators in title
single_indicators = ['single', ' - single', '(single)']
is_single_by_title = any(indicator in title_lower for indicator in single_indicators)
# Check for EP indicators in title
ep_indicators = ['ep', ' - ep', '(ep)', 'extended play']
is_ep_by_title = any(indicator in title_lower for indicator in ep_indicators)
# Categorization logic - be more conservative about singles
# Only treat as single if explicitly labeled as single AND has few tracks
if is_single_by_title and actual_track_count <= 3:
singles.append(album_data)
elif is_ep_by_title or (4 <= actual_track_count <= 7):
eps.append(album_data)
else:
# Default to album for most releases, especially if track count is unknown
albums.append(album_data)
# Fix image URLs if needed
artist_image_url = artist_row['thumb_url']
if artist_image_url and artist_image_url.startswith('/library/'):
# This will be fixed in the API layer
pass
return {
'success': True,
'artist': {
'id': artist_row['id'],
'name': artist_row['name'],
'image_url': artist_image_url,
'genres': genres,
'server_source': artist_row['server_source'],
'musicbrainz_id': artist_row['musicbrainz_id'],
'deezer_id': artist_row['deezer_id'],
'audiodb_id': artist_row['audiodb_id'],
'spotify_artist_id': artist_row['spotify_artist_id'],
'itunes_artist_id': artist_row['itunes_artist_id'],
'lastfm_url': artist_row['lastfm_url'],
'genius_url': artist_row['genius_url'],
'tidal_id': artist_row['tidal_id'],
'qobuz_id': artist_row['qobuz_id'],
'soul_id': artist_row['soul_id'],
'lastfm_listeners': artist_row['lastfm_listeners'],
'lastfm_playcount': artist_row['lastfm_playcount'],
'lastfm_tags': artist_row['lastfm_tags'],
'lastfm_bio': artist_row['lastfm_bio'],
'album_count': album_count,
'track_count': track_count
},
'owned_releases': {
'albums': albums,
'eps': eps,
'singles': singles
}
}
except Exception as e:
logger.error(f"Error getting artist discography for ID {artist_id}: {e}")
return {
'success': False,
'error': str(e)
}
# ==================== Enhanced Library Management Methods ====================
# Field whitelists for safe updates
ARTIST_EDITABLE_FIELDS = {'name', 'genres', 'summary', 'style', 'mood', 'label'}
ALBUM_EDITABLE_FIELDS = {'title', 'year', 'genres', 'style', 'mood', 'label', 'explicit', 'record_type', 'track_count'}
TRACK_EDITABLE_FIELDS = {'title', 'track_number', 'bpm', 'explicit', 'style', 'mood'}
def get_artist_full_detail(self, artist_id) -> Dict[str, Any]:
"""
Get complete artist information with ALL columns, all albums with ALL columns,
and all tracks per album with ALL columns. For the enhanced library management view.
"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Get artist with all columns
cursor.execute("SELECT * FROM artists WHERE id = ?", (artist_id,))
artist_row = cursor.fetchone()
if not artist_row:
return {'success': False, 'error': f'Artist with ID {artist_id} not found'}
artist_name = artist_row['name']
server_source = artist_row['server_source']
# Parse artist data
artist_data = dict(artist_row)
# Parse genres JSON
if artist_data.get('genres'):
try:
parsed = json.loads(artist_data['genres'])
artist_data['genres'] = parsed if isinstance(parsed, list) else [str(parsed)]
except (json.JSONDecodeError, ValueError):
artist_data['genres'] = [g.strip() for g in artist_data['genres'].split(',') if g.strip()]
else:
artist_data['genres'] = []
# Get all album IDs for this artist (including same-name artists on same server)
cursor.execute("""
SELECT id FROM artists
WHERE name = ? AND server_source = ?
""", (artist_name, server_source))
artist_ids = [row['id'] for row in cursor.fetchall()]
# Get all albums with all columns
placeholders = ','.join('?' * len(artist_ids))
cursor.execute(f"""
SELECT * FROM albums
WHERE artist_id IN ({placeholders})
ORDER BY year DESC, title
""", artist_ids)
album_rows = cursor.fetchall()
albums = []
for album_row in album_rows:
album_data = dict(album_row)
# Parse album genres
if album_data.get('genres'):
try:
parsed = json.loads(album_data['genres'])
album_data['genres'] = parsed if isinstance(parsed, list) else [str(parsed)]
except (json.JSONDecodeError, ValueError):
album_data['genres'] = [g.strip() for g in album_data['genres'].split(',') if g.strip()]
else:
album_data['genres'] = []
# Get all tracks for this album with all columns
cursor.execute("""
SELECT * FROM tracks
WHERE album_id = ?
ORDER BY track_number, title
""", (album_data['id'],))
track_rows = cursor.fetchall()
album_data['tracks'] = [dict(tr) for tr in track_rows]
# Determine record type from data if not set
if not album_data.get('record_type'):
track_count = len(album_data['tracks']) or album_data.get('track_count') or 0
title_lower = (album_data.get('title') or '').lower()
if any(ind in title_lower for ind in ['single', ' - single', '(single)']) and track_count <= 3:
album_data['record_type'] = 'single'
elif any(ind in title_lower for ind in ['ep', ' - ep', '(ep)', 'extended play']) or (4 <= track_count <= 7):
album_data['record_type'] = 'ep'
else:
album_data['record_type'] = 'album'
albums.append(album_data)
return {
'success': True,
'artist': artist_data,
'albums': albums
}
except Exception as e:
logger.error(f"Error getting artist full detail for ID {artist_id}: {e}")
return {'success': False, 'error': str(e)}
def update_artist_fields(self, artist_id, updates: Dict[str, Any]) -> Dict[str, Any]:
"""Update artist metadata fields. Only whitelisted fields are accepted."""
valid_updates = {k: v for k, v in updates.items() if k in self.ARTIST_EDITABLE_FIELDS}
if not valid_updates:
return {'success': False, 'error': 'No valid fields to update'}
# Serialize genres to JSON if present
if 'genres' in valid_updates:
if isinstance(valid_updates['genres'], list):
valid_updates['genres'] = json.dumps(valid_updates['genres'])
try:
with self._get_connection() as conn:
cursor = conn.cursor()
set_clause = ', '.join(f'{k} = ?' for k in valid_updates)
values = list(valid_updates.values()) + [artist_id]
cursor.execute(f"UPDATE artists SET {set_clause}, updated_at = CURRENT_TIMESTAMP WHERE id = ?", values)
conn.commit()
if cursor.rowcount == 0:
return {'success': False, 'error': f'Artist {artist_id} not found'}
return {'success': True, 'updated_fields': list(valid_updates.keys())}
except Exception as e:
logger.error(f"Error updating artist {artist_id}: {e}")
return {'success': False, 'error': str(e)}
def update_album_fields(self, album_id, updates: Dict[str, Any]) -> Dict[str, Any]:
"""Update album metadata fields. Only whitelisted fields are accepted."""
valid_updates = {k: v for k, v in updates.items() if k in self.ALBUM_EDITABLE_FIELDS}
if not valid_updates:
return {'success': False, 'error': 'No valid fields to update'}
if 'genres' in valid_updates:
if isinstance(valid_updates['genres'], list):
valid_updates['genres'] = json.dumps(valid_updates['genres'])
try:
with self._get_connection() as conn:
cursor = conn.cursor()
set_clause = ', '.join(f'{k} = ?' for k in valid_updates)
values = list(valid_updates.values()) + [album_id]
cursor.execute(f"UPDATE albums SET {set_clause}, updated_at = CURRENT_TIMESTAMP WHERE id = ?", values)
conn.commit()
if cursor.rowcount == 0:
return {'success': False, 'error': f'Album {album_id} not found'}
return {'success': True, 'updated_fields': list(valid_updates.keys())}
except Exception as e:
logger.error(f"Error updating album {album_id}: {e}")
return {'success': False, 'error': str(e)}
def update_track_fields(self, track_id, updates: Dict[str, Any]) -> Dict[str, Any]:
"""Update track metadata fields. Only whitelisted fields are accepted."""
valid_updates = {k: v for k, v in updates.items() if k in self.TRACK_EDITABLE_FIELDS}
if not valid_updates:
return {'success': False, 'error': 'No valid fields to update'}
try:
with self._get_connection() as conn:
cursor = conn.cursor()
set_clause = ', '.join(f'{k} = ?' for k in valid_updates)
values = list(valid_updates.values()) + [track_id]
cursor.execute(f"UPDATE tracks SET {set_clause}, updated_at = CURRENT_TIMESTAMP WHERE id = ?", values)
conn.commit()
if cursor.rowcount == 0:
return {'success': False, 'error': f'Track {track_id} not found'}
return {'success': True, 'updated_fields': list(valid_updates.keys())}
except Exception as e:
logger.error(f"Error updating track {track_id}: {e}")
return {'success': False, 'error': str(e)}
def batch_update_tracks(self, track_ids: List[str], updates: Dict[str, Any]) -> Dict[str, Any]:
"""Batch update multiple tracks with the same field values."""
valid_updates = {k: v for k, v in updates.items() if k in self.TRACK_EDITABLE_FIELDS}
if not valid_updates:
return {'success': False, 'error': 'No valid fields to update'}
if not track_ids:
return {'success': False, 'error': 'No track IDs provided'}
try:
with self._get_connection() as conn:
cursor = conn.cursor()
set_clause = ', '.join(f'{k} = ?' for k in valid_updates)
placeholders = ','.join('?' * len(track_ids))
values = list(valid_updates.values()) + list(track_ids)
cursor.execute(
f"UPDATE tracks SET {set_clause}, updated_at = CURRENT_TIMESTAMP WHERE id IN ({placeholders})",
values
)
conn.commit()
return {'success': True, 'updated_count': cursor.rowcount, 'updated_fields': list(valid_updates.keys())}
except Exception as e:
logger.error(f"Error batch updating tracks: {e}")
return {'success': False, 'error': str(e)}
# ==================== Discovery Match Cache Methods ====================
def get_discovery_cache_match(self, normalized_title: str, normalized_artist: str, provider: str) -> Optional[Dict]:
"""Look up a cached discovery match. Returns the matched_data dict or None.
Also bumps last_used_at and use_count on hit."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT matched_data_json, match_confidence FROM discovery_match_cache
WHERE normalized_title = ? AND normalized_artist = ? AND provider = ?
""", (normalized_title, normalized_artist, provider))
row = cursor.fetchone()
if row:
# Bump usage stats
cursor.execute("""
UPDATE discovery_match_cache
SET last_used_at = CURRENT_TIMESTAMP, use_count = use_count + 1
WHERE normalized_title = ? AND normalized_artist = ? AND provider = ?
""", (normalized_title, normalized_artist, provider))
conn.commit()
return json.loads(row['matched_data_json'])
return None
except Exception as e:
logger.error(f"Error reading discovery cache: {e}")
return None
def save_discovery_cache_match(self, normalized_title: str, normalized_artist: str,
provider: str, confidence: float, matched_data: Dict,
original_title: str = None, original_artist: str = None) -> bool:
"""Save a discovery match to cache. Uses INSERT OR REPLACE for upsert."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("""
INSERT OR REPLACE INTO discovery_match_cache
(normalized_title, normalized_artist, provider, match_confidence,
matched_data_json, original_title, original_artist,
created_at, last_used_at, use_count)
VALUES (?, ?, ?, ?, ?, ?, ?, CURRENT_TIMESTAMP, CURRENT_TIMESTAMP, 1)
""", (normalized_title, normalized_artist, provider, confidence,
json.dumps(matched_data), original_title, original_artist))
conn.commit()
return True
except Exception as e:
logger.error(f"Error saving discovery cache: {e}")
return False
# ==================== Sync Match Cache ====================
def read_sync_match_cache(self, spotify_track_id: str, server_source: str) -> Optional[Dict]:
"""Read a cached sync match. Returns {server_track_id, server_track_title, confidence} or None.
Also bumps last_used_at and use_count on hit."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT server_track_id, server_track_title, confidence FROM sync_match_cache
WHERE spotify_track_id = ? AND server_source = ?
""", (spotify_track_id, server_source))
row = cursor.fetchone()
if row:
cursor.execute("""
UPDATE sync_match_cache
SET last_used_at = CURRENT_TIMESTAMP, use_count = use_count + 1
WHERE spotify_track_id = ? AND server_source = ?
""", (spotify_track_id, server_source))
conn.commit()
return {
'server_track_id': row['server_track_id'],
'server_track_title': row['server_track_title'],
'confidence': row['confidence'],
}
return None
except Exception as e:
logger.error(f"Error reading sync match cache: {e}")
return None
def save_sync_match_cache(self, spotify_track_id: str, normalized_title: str,
normalized_artist: str, server_source: str,
server_track_id, server_track_title: str,
confidence: float) -> bool:
"""Save a sync match to cache. Uses INSERT OR REPLACE for upsert."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("""
INSERT OR REPLACE INTO sync_match_cache
(spotify_track_id, normalized_title, normalized_artist, server_source,
server_track_id, server_track_title, confidence,
created_at, last_used_at, use_count)
VALUES (?, ?, ?, ?, ?, ?, ?, CURRENT_TIMESTAMP, CURRENT_TIMESTAMP, 1)
""", (spotify_track_id, normalized_title, normalized_artist, server_source,
server_track_id, server_track_title, confidence))
conn.commit()
return True
except Exception as e:
logger.error(f"Error saving sync match cache: {e}")
return False
def invalidate_sync_match_cache(self, server_source: str = None) -> int:
"""Clear sync match cache entries. If server_source given, only clear that server's entries."""
try:
conn = self._get_connection()
cursor = conn.cursor()
if server_source:
cursor.execute("DELETE FROM sync_match_cache WHERE server_source = ?", (server_source,))
else:
cursor.execute("DELETE FROM sync_match_cache")
conn.commit()
return cursor.rowcount
except Exception as e:
logger.error(f"Error invalidating sync match cache: {e}")
return 0
# ==================== Discovery Pool Methods ====================
def get_discovery_pool_matched(self, limit: int = 500) -> list:
"""Get all cached discovery matches, ordered by most recently used."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT id, original_title, original_artist, normalized_title, normalized_artist,
provider, match_confidence, matched_data_json, use_count, last_used_at, created_at
FROM discovery_match_cache
ORDER BY last_used_at DESC
LIMIT ?
""", (limit,))
results = []
for row in cursor.fetchall():
try:
matched_data = json.loads(row['matched_data_json'])
except (json.JSONDecodeError, TypeError):
matched_data = {}
results.append({
'id': row['id'],
'original_title': row['original_title'] or row['normalized_title'],
'original_artist': row['original_artist'] or row['normalized_artist'],
'provider': row['provider'],
'confidence': row['match_confidence'],
'matched_data': matched_data,
'use_count': row['use_count'],
'last_used_at': row['last_used_at'],
'created_at': row['created_at'],
})
return results
except Exception as e:
logger.error(f"Error getting discovery pool matched: {e}")
return []
def get_discovery_pool_failed(self, profile_id: int = None, playlist_id: int = None) -> list:
"""Get all tracks where discovery was attempted but failed."""
try:
conn = self._get_connection()
cursor = conn.cursor()
query = """
SELECT mpt.id, mpt.track_name, mpt.artist_name, mpt.album_name,
mpt.playlist_id, mp.name as playlist_name
FROM mirrored_playlist_tracks mpt
JOIN mirrored_playlists mp ON mpt.playlist_id = mp.id
WHERE mpt.extra_data LIKE '%"discovery_attempted": true%'
AND mpt.extra_data NOT LIKE '%"discovered": true%'
"""
params = []
if playlist_id:
query += " AND mpt.playlist_id = ?"
params.append(playlist_id)
elif profile_id:
query += " AND mp.profile_id = ?"
params.append(profile_id)
query += " ORDER BY mp.name, mpt.track_name"
cursor.execute(query, params)
return [dict(row) for row in cursor.fetchall()]
except Exception as e:
logger.error(f"Error getting discovery pool failed: {e}")
return []
def delete_discovery_cache_entry(self, entry_id: int) -> bool:
"""Delete a single entry from the discovery match cache."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("DELETE FROM discovery_match_cache WHERE id = ?", (entry_id,))
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error deleting discovery cache entry: {e}")
return False
def get_discovery_pool_stats(self, profile_id: int = None) -> dict:
"""Get counts for matched and failed discovery tracks."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("SELECT COUNT(*) as cnt FROM discovery_match_cache")
matched = cursor.fetchone()['cnt']
query = """
SELECT COUNT(*) as cnt FROM mirrored_playlist_tracks mpt
JOIN mirrored_playlists mp ON mpt.playlist_id = mp.id
WHERE mpt.extra_data LIKE '%"discovery_attempted": true%'
AND mpt.extra_data NOT LIKE '%"discovered": true%'
"""
params = []
if profile_id:
query += " AND mp.profile_id = ?"
params.append(profile_id)
cursor.execute(query, params)
failed = cursor.fetchone()['cnt']
return {'matched': matched, 'failed': failed}
except Exception as e:
logger.error(f"Error getting discovery pool stats: {e}")
return {'matched': 0, 'failed': 0}
# ==================== Retag Tool Methods ====================
def add_retag_group(self, group_type: str, artist_name: str, album_name: str,
image_url: str = None, spotify_album_id: str = None,
itunes_album_id: str = None, total_tracks: int = 1,
release_date: str = None) -> Optional[int]:
"""Insert a retag group and return its ID."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("""
INSERT INTO retag_groups (group_type, artist_name, album_name, image_url,
spotify_album_id, itunes_album_id, total_tracks, release_date)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)
""", (group_type, artist_name, album_name, image_url,
spotify_album_id, itunes_album_id, total_tracks, release_date))
conn.commit()
return cursor.lastrowid
except Exception as e:
logger.error(f"Error adding retag group: {e}")
return None
def add_retag_track(self, group_id: int, track_number: int, disc_number: int,
title: str, file_path: str, file_format: str = None,
spotify_track_id: str = None, itunes_track_id: str = None) -> Optional[int]:
"""Insert a retag track record and return its ID."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("""
INSERT INTO retag_tracks (group_id, track_number, disc_number, title,
file_path, file_format, spotify_track_id, itunes_track_id)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)
""", (group_id, track_number, disc_number, title, file_path,
file_format, spotify_track_id, itunes_track_id))
conn.commit()
return cursor.lastrowid
except Exception as e:
logger.error(f"Error adding retag track: {e}")
return None
def get_retag_groups(self) -> List[Dict[str, Any]]:
"""Return all retag groups ordered by artist_name, created_at DESC."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT g.*, COUNT(t.id) as track_count
FROM retag_groups g
LEFT JOIN retag_tracks t ON t.group_id = g.id
GROUP BY g.id
ORDER BY g.artist_name ASC, g.created_at DESC
""")
columns = [desc[0] for desc in cursor.description]
return [dict(zip(columns, row)) for row in cursor.fetchall()]
except Exception as e:
logger.error(f"Error getting retag groups: {e}")
return []
def get_retag_tracks(self, group_id: int) -> List[Dict[str, Any]]:
"""Return all tracks for a given group_id ordered by disc_number, track_number."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT * FROM retag_tracks
WHERE group_id = ?
ORDER BY disc_number ASC, track_number ASC
""", (group_id,))
columns = [desc[0] for desc in cursor.description]
return [dict(zip(columns, row)) for row in cursor.fetchall()]
except Exception as e:
logger.error(f"Error getting retag tracks: {e}")
return []
def get_retag_stats(self) -> Dict[str, int]:
"""Return retag statistics: groups, tracks, artists counts."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("SELECT COUNT(*) FROM retag_groups")
groups = cursor.fetchone()[0]
cursor.execute("SELECT COUNT(*) FROM retag_tracks")
tracks = cursor.fetchone()[0]
cursor.execute("SELECT COUNT(DISTINCT artist_name) FROM retag_groups")
artists = cursor.fetchone()[0]
return {"groups": groups, "tracks": tracks, "artists": artists}
except Exception as e:
logger.error(f"Error getting retag stats: {e}")
return {"groups": 0, "tracks": 0, "artists": 0}
def find_retag_group(self, artist_name: str, album_name: str) -> Optional[int]:
"""Find an existing retag group by artist + album name. Returns group ID or None."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute(
"SELECT id FROM retag_groups WHERE artist_name = ? AND album_name = ?",
(artist_name, album_name)
)
row = cursor.fetchone()
return row[0] if row else None
except Exception as e:
logger.error(f"Error finding retag group: {e}")
return None
def retag_track_exists(self, group_id: int, file_path: str) -> bool:
"""Check if a retag track already exists for a group + file path."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute(
"SELECT 1 FROM retag_tracks WHERE group_id = ? AND file_path = ?",
(group_id, file_path)
)
return cursor.fetchone() is not None
except Exception as e:
logger.error(f"Error checking retag track existence: {e}")
return False
def update_retag_track_path(self, track_id: int, new_file_path: str) -> bool:
"""Update file_path for a retag track after re-tag move."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute(
"UPDATE retag_tracks SET file_path = ? WHERE id = ?",
(new_file_path, track_id)
)
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error updating retag track path: {e}")
return False
def update_retag_group(self, group_id: int, **kwargs) -> bool:
"""Update retag group fields. Accepts keyword args for columns to update."""
allowed = {'group_type', 'artist_name', 'album_name', 'image_url',
'spotify_album_id', 'itunes_album_id', 'total_tracks', 'release_date'}
updates = {k: v for k, v in kwargs.items() if k in allowed}
if not updates:
return False
try:
conn = self._get_connection()
cursor = conn.cursor()
set_clause = ", ".join(f"{k} = ?" for k in updates)
values = list(updates.values()) + [group_id]
cursor.execute(f"UPDATE retag_groups SET {set_clause} WHERE id = ?", values)
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error updating retag group: {e}")
return False
def trim_retag_groups(self, max_groups: int = 100):
"""Remove oldest retag groups if count exceeds max_groups."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("SELECT COUNT(*) FROM retag_groups")
count = cursor.fetchone()[0]
if count <= max_groups:
return
excess = count - max_groups
cursor.execute(
"SELECT id FROM retag_groups ORDER BY created_at ASC LIMIT ?", (excess,)
)
old_ids = [row[0] for row in cursor.fetchall()]
for gid in old_ids:
cursor.execute("DELETE FROM retag_tracks WHERE group_id = ?", (gid,))
cursor.execute("DELETE FROM retag_groups WHERE id = ?", (gid,))
conn.commit()
logger.info(f"Trimmed {len(old_ids)} oldest retag groups (cap: {max_groups})")
except Exception as e:
logger.error(f"Error trimming retag groups: {e}")
def delete_retag_group(self, group_id: int) -> bool:
"""Delete a retag group and its tracks (CASCADE)."""
try:
conn = self._get_connection()
cursor = conn.cursor()
# Manually delete tracks first since SQLite CASCADE requires PRAGMA foreign_keys=ON
cursor.execute("DELETE FROM retag_tracks WHERE group_id = ?", (group_id,))
cursor.execute("DELETE FROM retag_groups WHERE id = ?", (group_id,))
conn.commit()
return True
except Exception as e:
logger.error(f"Error deleting retag group: {e}")
return False
def delete_all_retag_groups(self) -> int:
"""Delete all retag groups and tracks. Returns count deleted."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("SELECT COUNT(*) FROM retag_groups")
count = cursor.fetchone()[0]
cursor.execute("DELETE FROM retag_tracks")
cursor.execute("DELETE FROM retag_groups")
conn.commit()
return count
except Exception as e:
logger.error(f"Error clearing all retag groups: {e}")
return 0
# ── Full-row API query methods (return dicts, not dataclasses) ────────
def api_get_artist(self, artist_id: int) -> Optional[Dict[str, Any]]:
"""Get artist by ID with ALL columns as a dict."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("SELECT * FROM artists WHERE id = ?", (artist_id,))
row = cursor.fetchone()
return dict(row) if row else None
except Exception as e:
logger.error(f"API: Error getting artist {artist_id}: {e}")
return None
def api_get_album(self, album_id: int) -> Optional[Dict[str, Any]]:
"""Get album by ID with ALL columns as a dict."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("SELECT * FROM albums WHERE id = ?", (album_id,))
row = cursor.fetchone()
return dict(row) if row else None
except Exception as e:
logger.error(f"API: Error getting album {album_id}: {e}")
return None
def api_get_track(self, track_id: int) -> Optional[Dict[str, Any]]:
"""Get track by ID with ALL columns as a dict, plus artist_name and album_title."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT t.*, a.name as artist_name, al.title as album_title
FROM tracks t
LEFT JOIN artists a ON t.artist_id = a.id
LEFT JOIN albums al ON t.album_id = al.id
WHERE t.id = ?
""", (track_id,))
row = cursor.fetchone()
return dict(row) if row else None
except Exception as e:
logger.error(f"API: Error getting track {track_id}: {e}")
return None
def api_get_albums_by_artist(self, artist_id: int) -> List[Dict[str, Any]]:
"""Get all albums for an artist with ALL columns."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute(
"SELECT * FROM albums WHERE artist_id = ? ORDER BY year, title",
(artist_id,),
)
return [dict(row) for row in cursor.fetchall()]
except Exception as e:
logger.error(f"API: Error getting albums for artist {artist_id}: {e}")
return []
def api_get_tracks_by_album(self, album_id: int) -> List[Dict[str, Any]]:
"""Get all tracks for an album with ALL columns, plus artist_name."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT t.*, a.name as artist_name
FROM tracks t
LEFT JOIN artists a ON t.artist_id = a.id
WHERE t.album_id = ?
ORDER BY t.track_number, t.title
""", (album_id,))
return [dict(row) for row in cursor.fetchall()]
except Exception as e:
logger.error(f"API: Error getting tracks for album {album_id}: {e}")
return []
def api_get_tracks_by_ids(self, track_ids: List[int]) -> List[Dict[str, Any]]:
"""Get multiple tracks by ID with ALL columns, plus artist_name and album_title."""
if not track_ids:
return []
try:
conn = self._get_connection()
cursor = conn.cursor()
placeholders = ",".join("?" * len(track_ids))
cursor.execute(f"""
SELECT t.*, a.name as artist_name, al.title as album_title
FROM tracks t
LEFT JOIN artists a ON t.artist_id = a.id
LEFT JOIN albums al ON t.album_id = al.id
WHERE t.id IN ({placeholders})
""", track_ids)
return [dict(row) for row in cursor.fetchall()]
except Exception as e:
logger.error(f"API: Error getting tracks by IDs: {e}")
return []
def api_lookup_by_external_id(self, table: str, provider: str, external_id: str) -> Optional[Dict[str, Any]]:
"""Look up an entity by external provider ID.
Args:
table: 'artists', 'albums', or 'tracks'
provider: 'spotify', 'musicbrainz', 'itunes', 'deezer', 'audiodb',
'tidal', 'qobuz', 'genius' (genius: artists/tracks only)
"""
column_map = {
"artists": {
"spotify": "spotify_artist_id",
"musicbrainz": "musicbrainz_id",
"itunes": "itunes_artist_id",
"deezer": "deezer_id",
"audiodb": "audiodb_id",
"tidal": "tidal_id",
"qobuz": "qobuz_id",
"genius": "genius_id",
},
"albums": {
"spotify": "spotify_album_id",
"musicbrainz": "musicbrainz_release_id",
"itunes": "itunes_album_id",
"deezer": "deezer_id",
"audiodb": "audiodb_id",
"tidal": "tidal_id",
"qobuz": "qobuz_id",
},
"tracks": {
"spotify": "spotify_track_id",
"musicbrainz": "musicbrainz_recording_id",
"itunes": "itunes_track_id",
"deezer": "deezer_id",
"audiodb": "audiodb_id",
"tidal": "tidal_id",
"qobuz": "qobuz_id",
"genius": "genius_id",
},
}
if table not in column_map or provider not in column_map[table]:
return None
column = column_map[table][provider]
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute(f"SELECT * FROM {table} WHERE {column} = ?", (external_id,))
row = cursor.fetchone()
return dict(row) if row else None
except Exception as e:
logger.error(f"API: External lookup {table}.{column}={external_id}: {e}")
return None
def api_get_genres(self, table: str = "artists") -> List[Dict[str, Any]]:
"""Get all unique genres with counts from the given table."""
if table not in ("artists", "albums"):
return []
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute(f"SELECT genres FROM {table}")
genre_counts: Dict[str, int] = {}
for row in cursor.fetchall():
raw = row["genres"]
if raw:
try:
genres = json.loads(raw) if isinstance(raw, str) else raw
if isinstance(genres, list):
for g in genres:
g = g.strip() if isinstance(g, str) else str(g)
if g:
genre_counts[g] = genre_counts.get(g, 0) + 1
except (json.JSONDecodeError, TypeError):
pass
return sorted(
[{"name": k, "count": v} for k, v in genre_counts.items()],
key=lambda x: x["count"],
reverse=True,
)
except Exception as e:
logger.error(f"API: Error getting genres from {table}: {e}")
return []
# ── Library History ─────────────────────────────────────────────────
def add_library_history_entry(self, event_type, title, artist_name=None, album_name=None,
quality=None, server_source=None, file_path=None, thumb_url=None):
"""Record a download or import event to the library history table."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("""
INSERT INTO library_history (event_type, title, artist_name, album_name,
quality, server_source, file_path, thumb_url)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)
""", (event_type, title, artist_name, album_name, quality, server_source, file_path, thumb_url))
conn.commit()
return True
except Exception as e:
logger.debug(f"Error adding library history entry: {e}")
return False
def get_library_history(self, event_type=None, page=1, limit=50):
"""Query library history with optional type filter and pagination.
Returns (entries_list, total_count).
"""
try:
conn = self._get_connection()
cursor = conn.cursor()
where = "WHERE event_type = ?" if event_type else ""
params = [event_type] if event_type else []
cursor.execute(f"SELECT COUNT(*) as cnt FROM library_history {where}", params)
total = cursor.fetchone()['cnt']
offset = (page - 1) * limit
cursor.execute(f"""
SELECT * FROM library_history {where}
ORDER BY created_at DESC
LIMIT ? OFFSET ?
""", params + [limit, offset])
entries = [dict(row) for row in cursor.fetchall()]
return entries, total
except Exception as e:
logger.error(f"Error querying library history: {e}")
return [], 0
def get_library_history_stats(self):
"""Return counts per event_type: {downloads: int, imports: int}."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("SELECT event_type, COUNT(*) as cnt FROM library_history GROUP BY event_type")
stats = {'downloads': 0, 'imports': 0}
for row in cursor.fetchall():
if row['event_type'] == 'download':
stats['downloads'] = row['cnt']
elif row['event_type'] == 'import':
stats['imports'] = row['cnt']
return stats
except Exception as e:
logger.debug(f"Error getting library history stats: {e}")
return {'downloads': 0, 'imports': 0}
# ── Sync History ──────────────────────────────────────────────
def add_sync_history_entry(self, batch_id, playlist_id, playlist_name, source, sync_type,
tracks_json, artist_context=None, album_context=None,
thumb_url=None, total_tracks=0, is_album_download=False,
playlist_folder_mode=False):
"""Record a new sync operation to sync_history."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("""
INSERT INTO sync_history (batch_id, playlist_id, playlist_name, source, sync_type,
tracks_json, artist_context, album_context, thumb_url, total_tracks,
is_album_download, playlist_folder_mode)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
""", (batch_id, playlist_id, playlist_name, source, sync_type,
tracks_json, artist_context, album_context, thumb_url, total_tracks,
int(is_album_download), int(playlist_folder_mode)))
conn.commit()
# Cap at 100 entries
cursor.execute("""
DELETE FROM sync_history WHERE id NOT IN (
SELECT id FROM sync_history ORDER BY started_at DESC LIMIT 100
)
""")
conn.commit()
return True
except Exception as e:
logger.debug(f"Error adding sync history entry: {e}")
return False
def update_sync_history_completion(self, batch_id, tracks_found=0, tracks_downloaded=0, tracks_failed=0):
"""Update a sync_history entry with completion stats."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("""
UPDATE sync_history SET tracks_found = ?, tracks_downloaded = ?,
tracks_failed = ?, completed_at = CURRENT_TIMESTAMP
WHERE batch_id = ?
""", (tracks_found, tracks_downloaded, tracks_failed, batch_id))
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.debug(f"Error updating sync history completion: {e}")
return False
def refresh_sync_history_entry(self, entry_id, tracks_found=0, tracks_downloaded=0, tracks_failed=0):
"""Update an existing sync_history entry with new stats and reset timestamps to move it to the top."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("""
UPDATE sync_history SET tracks_found = ?, tracks_downloaded = ?,
tracks_failed = ?, started_at = CURRENT_TIMESTAMP,
completed_at = CURRENT_TIMESTAMP
WHERE id = ?
""", (tracks_found, tracks_downloaded, tracks_failed, entry_id))
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.debug(f"Error refreshing sync history entry: {e}")
return False
def get_sync_history(self, source=None, page=1, limit=20):
"""Return (entries, total) for sync_history, newest first. Full tracks_json excluded from list."""
try:
conn = self._get_connection()
cursor = conn.cursor()
where = "WHERE source = ?" if source else ""
params = [source] if source else []
cursor.execute(f"SELECT COUNT(*) as cnt FROM sync_history {where}", params)
total = cursor.fetchone()['cnt']
offset = (page - 1) * limit
cursor.execute(f"""
SELECT id, batch_id, playlist_id, playlist_name, source, sync_type,
artist_context, album_context, thumb_url, total_tracks,
tracks_found, tracks_downloaded, tracks_failed,
is_album_download, playlist_folder_mode, started_at, completed_at
FROM sync_history {where}
ORDER BY started_at DESC
LIMIT ? OFFSET ?
""", params + [limit, offset])
entries = [dict(row) for row in cursor.fetchall()]
return entries, total
except Exception as e:
logger.error(f"Error querying sync history: {e}")
return [], 0
def get_latest_sync_history_by_playlist(self, playlist_id):
"""Return the most recent sync_history row for a given playlist_id."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT * FROM sync_history
WHERE playlist_id = ?
ORDER BY started_at DESC LIMIT 1
""", (playlist_id,))
row = cursor.fetchone()
return dict(row) if row else None
except Exception as e:
logger.debug(f"Error getting latest sync history by playlist: {e}")
return None
def get_sync_history_entry(self, entry_id):
"""Return a single sync_history row with full tracks_json (for re-trigger)."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("SELECT * FROM sync_history WHERE id = ?", (entry_id,))
row = cursor.fetchone()
return dict(row) if row else None
except Exception as e:
logger.error(f"Error getting sync history entry: {e}")
return None
def delete_sync_history_entry(self, entry_id):
"""Delete a single sync_history entry."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("DELETE FROM sync_history WHERE id = ?", (entry_id,))
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.debug(f"Error deleting sync history entry: {e}")
return False
def get_sync_history_stats(self):
"""Return counts grouped by source."""
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute("SELECT source, COUNT(*) as cnt FROM sync_history GROUP BY source")
return {row['source']: row['cnt'] for row in cursor.fetchall()}
except Exception as e:
logger.debug(f"Error getting sync history stats: {e}")
return {}
def api_get_recently_added(self, entity_type: str = "albums", limit: int = 50) -> List[Dict[str, Any]]:
"""Get recently added entities, ordered by created_at DESC."""
table = {"artists": "artists", "albums": "albums", "tracks": "tracks"}.get(entity_type)
if not table:
return []
try:
conn = self._get_connection()
cursor = conn.cursor()
cursor.execute(f"SELECT * FROM {table} ORDER BY created_at DESC LIMIT ?", (limit,))
return [dict(row) for row in cursor.fetchall()]
except Exception as e:
logger.error(f"API: Error getting recently added {entity_type}: {e}")
return []
def api_list_albums(self, search: str = "", artist_id: int = None,
year: int = None, page: int = 1, limit: int = 50) -> Dict[str, Any]:
"""List/search albums with pagination, returning full rows."""
try:
conn = self._get_connection()
cursor = conn.cursor()
where_parts = []
params: list = []
if search:
where_parts.append("LOWER(al.title) LIKE LOWER(?)")
params.append(f"%{search}%")
if artist_id is not None:
where_parts.append("al.artist_id = ?")
params.append(artist_id)
if year is not None:
where_parts.append("al.year = ?")
params.append(year)
where_clause = " AND ".join(where_parts) if where_parts else "1=1"
# Count
cursor.execute(f"SELECT COUNT(*) as cnt FROM albums al WHERE {where_clause}", params)
total = cursor.fetchone()["cnt"]
# Fetch page
offset = (page - 1) * limit
cursor.execute(
f"""SELECT al.*, a.name as artist_name
FROM albums al
LEFT JOIN artists a ON al.artist_id = a.id
WHERE {where_clause}
ORDER BY al.title COLLATE NOCASE
LIMIT ? OFFSET ?""",
params + [limit, offset],
)
albums = [dict(row) for row in cursor.fetchall()]
return {"albums": albums, "total": total}
except Exception as e:
logger.error(f"API: Error listing albums: {e}")
return {"albums": [], "total": 0}
# ── Mirrored Playlists ───────────────────────────────────────────────
def mirror_playlist(self, source: str, source_playlist_id: str, name: str,
tracks: List[Dict], profile_id: int = 1, **kwargs) -> Optional[int]:
"""Upsert a mirrored playlist and replace all its tracks."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Upsert the playlist row
cursor.execute("""
INSERT INTO mirrored_playlists
(source, source_playlist_id, name, description, owner, image_url, track_count, profile_id, updated_at)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, CURRENT_TIMESTAMP)
ON CONFLICT(source, source_playlist_id, profile_id) DO UPDATE SET
name = excluded.name,
description = excluded.description,
owner = excluded.owner,
image_url = excluded.image_url,
track_count = excluded.track_count,
updated_at = CURRENT_TIMESTAMP
""", (
source, source_playlist_id, name,
kwargs.get('description'), kwargs.get('owner'),
kwargs.get('image_url'), len(tracks), profile_id
))
playlist_id = cursor.execute(
"SELECT id FROM mirrored_playlists WHERE source=? AND source_playlist_id=? AND profile_id=?",
(source, source_playlist_id, profile_id)
).fetchone()['id']
# Replace all tracks
cursor.execute("DELETE FROM mirrored_playlist_tracks WHERE playlist_id=?", (playlist_id,))
for i, t in enumerate(tracks):
extra = t.get('extra_data')
if extra and not isinstance(extra, str):
extra = json.dumps(extra)
cursor.execute("""
INSERT INTO mirrored_playlist_tracks
(playlist_id, position, track_name, artist_name, album_name, duration_ms, image_url, source_track_id, extra_data)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
""", (
playlist_id, i + 1,
t.get('track_name', ''), t.get('artist_name', ''),
t.get('album_name', ''), t.get('duration_ms', 0),
t.get('image_url'), t.get('source_track_id'), extra
))
conn.commit()
logger.info(f"Mirrored playlist '{name}' ({source}) with {len(tracks)} tracks")
return playlist_id
except Exception as e:
logger.error(f"Error mirroring playlist: {e}")
return None
def get_mirrored_playlists(self, profile_id: int = 1) -> List[Dict]:
"""Return all mirrored playlists for a profile, newest first."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
SELECT * FROM mirrored_playlists
WHERE profile_id = ?
ORDER BY updated_at DESC
""", (profile_id,))
return [dict(row) for row in cursor.fetchall()]
except Exception as e:
logger.error(f"Error getting mirrored playlists: {e}")
return []
def get_mirrored_playlist(self, playlist_id: int) -> Optional[Dict]:
"""Return a single mirrored playlist by id."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("SELECT * FROM mirrored_playlists WHERE id = ?", (playlist_id,))
row = cursor.fetchone()
return dict(row) if row else None
except Exception as e:
logger.error(f"Error getting mirrored playlist: {e}")
return None
def get_mirrored_playlist_tracks(self, playlist_id: int) -> List[Dict]:
"""Return all tracks for a mirrored playlist ordered by position."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
SELECT * FROM mirrored_playlist_tracks
WHERE playlist_id = ?
ORDER BY position
""", (playlist_id,))
return [dict(row) for row in cursor.fetchall()]
except Exception as e:
logger.error(f"Error getting mirrored playlist tracks: {e}")
return []
def update_mirrored_track_extra_data(self, track_id: int, extra_data_dict: dict) -> bool:
"""Merge new data into a mirrored track's extra_data JSON field."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute(
"SELECT extra_data FROM mirrored_playlist_tracks WHERE id = ?",
(track_id,)
)
row = cursor.fetchone()
if not row:
return False
existing = {}
if row['extra_data']:
try:
existing = json.loads(row['extra_data'])
except (json.JSONDecodeError, TypeError):
pass
existing.update(extra_data_dict)
cursor.execute(
"UPDATE mirrored_playlist_tracks SET extra_data = ? WHERE id = ?",
(json.dumps(existing), track_id)
)
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error updating mirrored track extra_data: {e}")
return False
def get_mirrored_tracks_extra_data_map(self, playlist_id: int) -> dict:
"""Return {source_track_id: extra_data_json_string} for a playlist.
Used to preserve discovery data across refreshes."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
SELECT source_track_id, extra_data FROM mirrored_playlist_tracks
WHERE playlist_id = ? AND source_track_id IS NOT NULL AND extra_data IS NOT NULL
""", (playlist_id,))
return {row['source_track_id']: row['extra_data'] for row in cursor.fetchall()}
except Exception as e:
logger.error(f"Error getting extra_data map: {e}")
return {}
def clear_mirrored_playlist_discovery(self, playlist_id: int) -> int:
"""Clear extra_data for all tracks in a mirrored playlist (resets discovery)."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute(
"UPDATE mirrored_playlist_tracks SET extra_data = NULL WHERE playlist_id = ?",
(playlist_id,)
)
conn.commit()
return cursor.rowcount
except Exception as e:
logger.error(f"Error clearing mirrored playlist discovery: {e}")
return 0
def get_mirrored_playlist_discovery_counts(self, playlist_id: int) -> tuple:
"""Return (discovered_count, total_count) for a mirrored playlist."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute(
"SELECT COUNT(*) as total FROM mirrored_playlist_tracks WHERE playlist_id = ?",
(playlist_id,)
)
total = cursor.fetchone()['total']
cursor.execute(
"SELECT COUNT(*) as discovered FROM mirrored_playlist_tracks WHERE playlist_id = ? AND extra_data LIKE '%\"discovered\": true%'",
(playlist_id,)
)
discovered = cursor.fetchone()['discovered']
return (discovered, total)
except Exception as e:
logger.error(f"Error getting mirrored playlist discovery counts: {e}")
return (0, 0)
def delete_mirrored_playlist(self, playlist_id: int) -> bool:
"""Delete a mirrored playlist and its tracks (CASCADE)."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("DELETE FROM mirrored_playlists WHERE id = ?", (playlist_id,))
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error deleting mirrored playlist: {e}")
return False
# ===========================
# AUTOMATIONS CRUD
# ===========================
def create_automation(self, name: str, trigger_type: str, trigger_config: str,
action_type: str, action_config: str, profile_id: int = 1,
notify_type: str = None, notify_config: str = '{}',
then_actions: str = '[]', group_name: str = None):
"""Create a new automation. Returns the new automation ID or None."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
INSERT INTO automations (name, trigger_type, trigger_config, action_type, action_config, profile_id, notify_type, notify_config, then_actions, group_name)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
""", (name, trigger_type, trigger_config, action_type, action_config, profile_id, notify_type, notify_config, then_actions, group_name))
conn.commit()
return cursor.lastrowid
except Exception as e:
logger.error(f"Error creating automation: {e}")
return None
def get_automations(self, profile_id: int = 1):
"""Get all automations for a profile (includes system automations regardless of profile)."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
SELECT * FROM automations WHERE profile_id = ? OR is_system = 1 ORDER BY is_system DESC, created_at DESC
""", (profile_id,))
rows = cursor.fetchall()
return [dict(row) for row in rows]
except Exception as e:
logger.error(f"Error getting automations: {e}")
return []
def get_system_automation_by_action(self, action_type: str):
"""Get a system automation by its action_type. Returns dict or None."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("SELECT * FROM automations WHERE is_system = 1 AND action_type = ?", (action_type,))
row = cursor.fetchone()
return dict(row) if row else None
except Exception as e:
logger.error(f"Error getting system automation for {action_type}: {e}")
return None
def get_automation(self, automation_id: int):
"""Get a single automation by ID."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("SELECT * FROM automations WHERE id = ?", (automation_id,))
row = cursor.fetchone()
return dict(row) if row else None
except Exception as e:
logger.error(f"Error getting automation {automation_id}: {e}")
return None
def update_automation(self, automation_id: int, **kwargs) -> bool:
"""Update automation fields."""
allowed = {'name', 'enabled', 'trigger_type', 'trigger_config', 'action_type', 'action_config', 'next_run', 'notify_type', 'notify_config', 'last_result', 'is_system', 'then_actions', 'group_name'}
updates = {k: v for k, v in kwargs.items() if k in allowed}
if not updates:
return False
try:
with self._get_connection() as conn:
cursor = conn.cursor()
set_clause = ', '.join(f"{k} = ?" for k in updates)
values = list(updates.values()) + [automation_id]
cursor.execute(
f"UPDATE automations SET {set_clause}, updated_at = CURRENT_TIMESTAMP WHERE id = ?",
values
)
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error updating automation {automation_id}: {e}")
return False
def delete_automation(self, automation_id: int) -> bool:
"""Delete an automation. System automations cannot be deleted."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("SELECT is_system FROM automations WHERE id = ?", (automation_id,))
row = cursor.fetchone()
if row and row['is_system']:
logger.warning(f"Attempted to delete system automation {automation_id}")
return False
cursor.execute("DELETE FROM automations WHERE id = ?", (automation_id,))
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error deleting automation {automation_id}: {e}")
return False
def toggle_automation(self, automation_id: int) -> bool:
"""Toggle the enabled state of an automation. Returns True on success."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute(
"UPDATE automations SET enabled = CASE WHEN enabled = 1 THEN 0 ELSE 1 END, updated_at = CURRENT_TIMESTAMP WHERE id = ?",
(automation_id,)
)
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error toggling automation {automation_id}: {e}")
return False
def update_automation_run(self, automation_id: int, next_run=None, error=None, last_result=None) -> bool:
"""Record a run: set last_run=now, increment run_count, optionally set next_run, last_error, last_result."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
UPDATE automations
SET last_run = CURRENT_TIMESTAMP,
run_count = run_count + 1,
next_run = ?,
last_error = ?,
last_result = ?,
updated_at = CURRENT_TIMESTAMP
WHERE id = ?
""", (next_run, error, last_result, automation_id))
conn.commit()
return cursor.rowcount > 0
except Exception as e:
logger.error(f"Error updating automation run {automation_id}: {e}")
return False
def insert_automation_run_history(self, automation_id, started_at, finished_at,
duration_seconds, status, summary=None,
result_json=None, log_lines=None):
"""Insert a run history entry and enforce 100-row retention cap per automation."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
INSERT INTO automation_run_history
(automation_id, started_at, finished_at, duration_seconds, status, summary, result_json, log_lines)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)
""", (automation_id, started_at, finished_at, duration_seconds,
status, summary, result_json, log_lines))
# Retention: keep only the newest 100 rows per automation
cursor.execute("""
DELETE FROM automation_run_history
WHERE automation_id = ? AND id NOT IN (
SELECT id FROM automation_run_history
WHERE automation_id = ?
ORDER BY id DESC LIMIT 100
)
""", (automation_id, automation_id))
conn.commit()
return True
except Exception as e:
logger.error(f"Error inserting automation run history for {automation_id}: {e}")
return False
def get_automation_run_history(self, automation_id, limit=50, offset=0):
"""Get run history for an automation, newest first."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute(
"SELECT COUNT(*) FROM automation_run_history WHERE automation_id = ?",
(automation_id,))
total = cursor.fetchone()[0]
cursor.execute("""
SELECT id, automation_id, started_at, finished_at, duration_seconds,
status, summary, result_json, log_lines
FROM automation_run_history
WHERE automation_id = ?
ORDER BY id DESC
LIMIT ? OFFSET ?
""", (automation_id, limit, offset))
cols = [d[0] for d in cursor.description]
rows = [dict(zip(cols, row)) for row in cursor.fetchall()]
return {'history': rows, 'total': total}
except Exception as e:
logger.error(f"Error getting automation run history for {automation_id}: {e}")
return {'history': [], 'total': 0}
def clear_automation_run_history(self, automation_id=None):
"""Clear run history for a specific automation or all automations."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
if automation_id:
cursor.execute("DELETE FROM automation_run_history WHERE automation_id = ?",
(automation_id,))
else:
cursor.execute("DELETE FROM automation_run_history")
conn.commit()
return cursor.rowcount
except Exception as e:
logger.error(f"Error clearing automation run history: {e}")
return 0
def get_radio_tracks(self, track_id, limit=20, exclude_ids=None) -> Dict[str, Any]:
"""Find similar tracks for radio mode auto-play queue.
Strategy (each tier capped to ensure diversity):
1. Same artist, different albums (max 30% of limit)
2. Same genre — from album genres + artist genres (other artists)
3. Same mood / style — from album + artist metadata
4. Random library tracks (fallback)
Args:
track_id: The seed track ID.
limit: Maximum number of tracks to return.
exclude_ids: Optional list of track IDs to exclude.
Returns:
dict with ``success``, ``tracks`` list.
"""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
# Resolve the seed track and its album / artist
cursor.execute("""
SELECT t.id, t.artist_id, t.album_id,
al.genres AS album_genres,
al.mood AS album_mood,
al.style AS album_style,
ar.name AS artist_name,
ar.genres AS artist_genres,
ar.mood AS artist_mood,
ar.style AS artist_style
FROM tracks t
JOIN albums al ON al.id = t.album_id
JOIN artists ar ON ar.id = t.artist_id
WHERE t.id = ?
""", (track_id,))
seed = cursor.fetchone()
if not seed:
return {'success': False, 'error': f'Track {track_id} not found'}
seed = dict(seed)
artist_name = seed['artist_name']
# Build the set of IDs to exclude (seed + caller-supplied)
excluded = {str(track_id)}
if exclude_ids:
excluded.update(str(eid) for eid in exclude_ids)
collected: list[dict] = []
seen_ids: set[str] = set(excluded)
def _exclude_placeholders():
return ','.join('?' * len(seen_ids))
def _exclude_values():
return list(seen_ids)
_track_select = """
SELECT t.id, t.title, t.track_number, t.duration,
t.file_path, t.bitrate,
t.album_id, t.artist_id,
al.title AS album,
COALESCE(al.thumb_url, ar.thumb_url) AS image_url,
ar.name AS artist
FROM tracks t
JOIN albums al ON al.id = t.album_id
JOIN artists ar ON ar.id = t.artist_id
"""
# Only return tracks that have actual files on disk
_file_filter = "t.file_path IS NOT NULL AND t.file_path != ''"
def _collect(rows, cap=None):
"""Append rows to collected. Stop at cap or limit."""
target = min(limit, (len(collected) + cap)) if cap else limit
for row in rows:
r = dict(row)
rid = str(r['id'])
if rid not in seen_ids:
seen_ids.add(rid)
collected.append(r)
if len(collected) >= target:
return True
return len(collected) >= limit
def _parse_tags(raw_val):
"""Parse a JSON array or comma-separated string into a list."""
if not raw_val:
return []
try:
parsed = json.loads(raw_val)
return parsed if isinstance(parsed, list) else [str(parsed)]
except (json.JSONDecodeError, ValueError):
return [t.strip() for t in raw_val.split(',') if t.strip()]
# --- 1. Same artist, different albums (capped at 30% of limit) ---
same_artist_cap = max(5, limit * 3 // 10)
cursor.execute(f"""
{_track_select}
WHERE {_file_filter} AND ar.name = ? AND t.album_id != ? AND t.id NOT IN ({_exclude_placeholders()})
ORDER BY RANDOM()
LIMIT ?
""", [artist_name, seed['album_id']] + _exclude_values() + [same_artist_cap])
_collect(cursor.fetchall(), cap=same_artist_cap)
if len(collected) >= limit:
return {'success': True, 'tracks': collected}
# --- 2. Same genre (album genres + artist genres, other artists) ---
genre_list = _parse_tags(seed.get('album_genres'))
artist_genre_list = _parse_tags(seed.get('artist_genres'))
all_genres = list(dict.fromkeys(genre_list + artist_genre_list)) # dedupe, preserve order
if all_genres:
genre_conditions = ' OR '.join(
['al.genres LIKE ?' for _ in all_genres] +
['ar.genres LIKE ?' for _ in all_genres]
)
genre_params = [f'%{g}%' for g in all_genres] * 2
cursor.execute(f"""
{_track_select}
WHERE {_file_filter} AND ({genre_conditions})
AND ar.name != ?
AND t.id NOT IN ({_exclude_placeholders()})
ORDER BY RANDOM()
LIMIT ?
""", genre_params + [artist_name] + _exclude_values() + [limit - len(collected)])
if _collect(cursor.fetchall()):
return {'success': True, 'tracks': collected}
# --- 3. Same mood / style (album + artist level) ---
for field_name in ('mood', 'style'):
album_tags = _parse_tags(seed.get(f'album_{field_name}'))
artist_tags = _parse_tags(seed.get(f'artist_{field_name}'))
all_tags = list(dict.fromkeys(album_tags + artist_tags))
if all_tags:
tag_conditions = ' OR '.join(
[f'al.{field_name} LIKE ?' for _ in all_tags] +
[f'ar.{field_name} LIKE ?' for _ in all_tags]
)
tag_params = [f'%{t}%' for t in all_tags] * 2
cursor.execute(f"""
{_track_select}
WHERE {_file_filter} AND ({tag_conditions})
AND ar.name != ?
AND t.id NOT IN ({_exclude_placeholders()})
ORDER BY RANDOM()
LIMIT ?
""", tag_params + [artist_name] + _exclude_values() + [limit - len(collected)])
if _collect(cursor.fetchall()):
return {'success': True, 'tracks': collected}
# --- 4. Random library tracks ---
if len(collected) < limit:
cursor.execute(f"""
{_track_select}
WHERE {_file_filter} AND t.id NOT IN ({_exclude_placeholders()})
ORDER BY RANDOM()
LIMIT ?
""", _exclude_values() + [limit - len(collected)])
_collect(cursor.fetchall())
return {'success': True, 'tracks': collected}
except Exception as e:
logger.error(f"Error getting radio tracks for track {track_id}: {e}")
return {'success': False, 'error': str(e)}
# ── Library Issues CRUD ──
def create_issue(self, profile_id: int, entity_type: str, entity_id: str,
category: str, title: str, description: str = '',
snapshot_data: Dict = None, priority: str = 'normal') -> Dict[str, Any]:
"""Create a new library issue report."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
INSERT INTO library_issues
(profile_id, entity_type, entity_id, category, title, description,
snapshot_data, priority)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)
""", (profile_id, entity_type, entity_id, category, title, description,
json.dumps(snapshot_data or {}), priority))
conn.commit()
return {'success': True, 'id': cursor.lastrowid}
except Exception as e:
logger.error(f"Error creating issue: {e}")
return {'success': False, 'error': str(e)}
def get_issues(self, profile_id: int = None, status: str = None,
category: str = None, entity_type: str = None,
limit: int = 100, offset: int = 0,
is_admin: bool = False) -> Dict[str, Any]:
"""Get issues with optional filters. Non-admin only sees own issues."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
conditions = []
params = []
if not is_admin and profile_id:
conditions.append("i.profile_id = ?")
params.append(profile_id)
if status:
conditions.append("i.status = ?")
params.append(status)
if category:
conditions.append("i.category = ?")
params.append(category)
if entity_type:
conditions.append("i.entity_type = ?")
params.append(entity_type)
where = f"WHERE {' AND '.join(conditions)}" if conditions else ""
# Count total
cursor.execute(f"SELECT COUNT(*) FROM library_issues i {where}", params)
total = cursor.fetchone()[0]
# Fetch issues with reporter profile info
cursor.execute(f"""
SELECT i.*, p.name as reporter_name, p.avatar_color as reporter_color,
p.avatar_url as reporter_avatar
FROM library_issues i
LEFT JOIN profiles p ON i.profile_id = p.id
{where}
ORDER BY
CASE i.status WHEN 'open' THEN 0 WHEN 'in_progress' THEN 1 ELSE 2 END,
CASE i.priority WHEN 'high' THEN 0 WHEN 'normal' THEN 1 ELSE 2 END,
i.created_at DESC
LIMIT ? OFFSET ?
""", params + [limit, offset])
issues = []
for row in cursor.fetchall():
issue = dict(row)
try:
issue['snapshot_data'] = json.loads(issue.get('snapshot_data', '{}'))
except (json.JSONDecodeError, TypeError):
issue['snapshot_data'] = {}
issues.append(issue)
return {'success': True, 'issues': issues, 'total': total}
except Exception as e:
logger.error(f"Error getting issues: {e}")
return {'success': False, 'error': str(e), 'issues': [], 'total': 0}
def get_issue(self, issue_id: int) -> Optional[Dict[str, Any]]:
"""Get a single issue by ID with reporter info."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
SELECT i.*, p.name as reporter_name, p.avatar_color as reporter_color,
p.avatar_url as reporter_avatar
FROM library_issues i
LEFT JOIN profiles p ON i.profile_id = p.id
WHERE i.id = ?
""", (issue_id,))
row = cursor.fetchone()
if not row:
return None
issue = dict(row)
try:
issue['snapshot_data'] = json.loads(issue.get('snapshot_data', '{}'))
except (json.JSONDecodeError, TypeError):
issue['snapshot_data'] = {}
return issue
except Exception as e:
logger.error(f"Error getting issue {issue_id}: {e}")
return None
def update_issue(self, issue_id: int, updates: Dict[str, Any]) -> Dict[str, Any]:
"""Update an issue (admin response, status change, etc.)."""
allowed_fields = {'status', 'priority', 'admin_response', 'resolved_by', 'resolved_at',
'title', 'description', 'category'}
valid = {k: v for k, v in updates.items() if k in allowed_fields}
if not valid:
return {'success': False, 'error': 'No valid fields to update'}
try:
with self._get_connection() as conn:
cursor = conn.cursor()
set_clause = ', '.join(f'{k} = ?' for k in valid)
values = list(valid.values()) + [issue_id]
cursor.execute(
f"UPDATE library_issues SET {set_clause}, updated_at = CURRENT_TIMESTAMP WHERE id = ?",
values
)
conn.commit()
if cursor.rowcount == 0:
return {'success': False, 'error': 'Issue not found'}
return {'success': True}
except Exception as e:
logger.error(f"Error updating issue {issue_id}: {e}")
return {'success': False, 'error': str(e)}
def delete_issue(self, issue_id: int) -> Dict[str, Any]:
"""Delete an issue (admin only)."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
cursor.execute("DELETE FROM library_issues WHERE id = ?", (issue_id,))
conn.commit()
if cursor.rowcount == 0:
return {'success': False, 'error': 'Issue not found'}
return {'success': True}
except Exception as e:
logger.error(f"Error deleting issue {issue_id}: {e}")
return {'success': False, 'error': str(e)}
def get_issue_counts(self, is_admin: bool = False, profile_id: int = None) -> Dict[str, int]:
"""Get issue counts by status for badge display."""
try:
with self._get_connection() as conn:
cursor = conn.cursor()
profile_filter = ""
params = []
if not is_admin and profile_id:
profile_filter = "WHERE profile_id = ?"
params = [profile_id]
cursor.execute(f"""
SELECT status, COUNT(*) as count
FROM library_issues
{profile_filter}
GROUP BY status
""", params)
counts = {'open': 0, 'in_progress': 0, 'resolved': 0, 'dismissed': 0, 'total': 0}
for row in cursor.fetchall():
counts[row['status']] = row['count']
counts['total'] += row['count']
return counts
except Exception as e:
logger.error(f"Error getting issue counts: {e}")
return {'open': 0, 'in_progress': 0, 'resolved': 0, 'dismissed': 0, 'total': 0}
# Thread-safe singleton pattern for database access
_database_instances: Dict[int, MusicDatabase] = {} # Thread ID -> Database instance
_database_lock = threading.Lock()
def get_database(database_path: str = None) -> MusicDatabase:
"""Get thread-local database instance
Args:
database_path: Path to database file. If None or default path, uses DATABASE_PATH env var
or defaults to "database/music_library.db". Custom paths are used as-is.
"""
import os
# Use env var if path is None OR if it's the default path
# This ensures Docker containers use the correct mounted volume location
if database_path is None or database_path == "database/music_library.db":
database_path = os.environ.get('DATABASE_PATH', 'database/music_library.db')
thread_id = threading.get_ident()
with _database_lock:
if thread_id not in _database_instances:
_database_instances[thread_id] = MusicDatabase(database_path)
return _database_instances[thread_id]
def close_database():
"""Close database instances (safe to call from any thread)"""
global _database_instances
with _database_lock:
# Close all database instances
for thread_id, db_instance in list(_database_instances.items()):
try:
db_instance.close()
except Exception as e:
# Ignore threading errors during shutdown
pass
_database_instances.clear()
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