Clarify similar-artist freshness and backfill
Freshness is now age-only, and scan-time backfill runs separately without Spotify-auth gating or retired iTunes compatibility flags.
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8382b8e247
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3 changed files with 28 additions and 47 deletions
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@ -1255,8 +1255,7 @@ class WatchlistScanner:
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if scan_state is not None:
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scan_state['current_phase'] = 'fetching_similar_artists'
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artist_profile_id = getattr(artist, 'profile_id', profile_id)
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spotify_authenticated = self.spotify_client and self.spotify_client.is_spotify_authenticated()
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if self.database.has_fresh_similar_artists(source_artist_id, days_threshold=30, require_spotify=spotify_authenticated, profile_id=artist_profile_id):
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if self.database.has_fresh_similar_artists(source_artist_id, days_threshold=30, profile_id=artist_profile_id):
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logger.info("Similar artists for %s are cached and fresh (profile %s)", artist.artist_name, artist_profile_id)
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self._backfill_similar_artists_fallback_ids(source_artist_id, profile_id=artist_profile_id)
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else:
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@ -2325,10 +2324,6 @@ class WatchlistScanner:
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logger.error("Error backfilling similar artists IDs: %s", e)
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return 0
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def _backfill_similar_artists_itunes_ids(self, source_artist_id: str, profile_id: int = 1) -> int:
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"""Backward-compatible alias for the provider-priority backfill path."""
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return self._backfill_similar_artists_fallback_ids(source_artist_id, profile_id=profile_id)
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def update_similar_artists(
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self,
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watchlist_artist: WatchlistArtist,
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@ -3631,8 +3626,8 @@ class WatchlistScanner:
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except Exception as e:
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logger.debug(f"Error building BYLT for {played_artist.get('name', '?')}: {e}")
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# Also save without suffix for backward compatibility (use active source)
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active_source = 'spotify' if spotify_available else fallback_source
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# Also save without suffix for backward compatibility (use first active source).
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active_source = sources_to_process[0]
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release_radar_key = f'release_radar_{active_source}'
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discovery_weekly_key = f'discovery_weekly_{active_source}'
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@ -7473,19 +7473,16 @@ class MusicDatabase:
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logger.error(f"Error updating similar artist metadata by external ID: {e}")
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return False
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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:
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def has_fresh_similar_artists(self, source_artist_id: str, days_threshold: int = 30, profile_id: int = 1) -> bool:
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"""
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Check if we have cached similar artists that are still fresh (<days_threshold old).
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Also checks that similar artists have the required provider IDs.
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Args:
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source_artist_id: The source artist ID to check
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days_threshold: Maximum age in days to consider fresh
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require_itunes: If True, also requires iTunes IDs to be present (for seamless provider switching)
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require_spotify: If True, also requires Spotify IDs to be present (for Spotify discovery)
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profile_id: Profile to check freshness for
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Returns True if we have recent data with required IDs, False if data is stale, missing, or incomplete.
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Returns True if we have recent data, False if data is stale or missing.
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"""
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try:
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with self._get_connection() as conn:
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@ -7510,40 +7507,6 @@ class MusicDatabase:
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if days_since_update >= days_threshold:
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return False
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# Check if we have iTunes IDs (for seamless provider switching)
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if require_itunes:
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cursor.execute("""
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SELECT COUNT(*) as total,
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SUM(CASE WHEN similar_artist_itunes_id IS NOT NULL AND similar_artist_itunes_id != '' THEN 1 ELSE 0 END) as has_itunes
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FROM similar_artists
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WHERE source_artist_id = ? AND profile_id = ?
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""", (source_artist_id, profile_id))
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id_row = cursor.fetchone()
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if id_row and id_row['total'] > 0:
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# If less than 50% have iTunes IDs, consider stale and refetch
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itunes_ratio = id_row['has_itunes'] / id_row['total']
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if itunes_ratio < 0.5:
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logger.debug(f"Similar artists for {source_artist_id} missing iTunes IDs ({id_row['has_itunes']}/{id_row['total']}), will refetch")
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return False
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# Check if we have Spotify IDs (for Spotify discovery)
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if require_spotify:
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cursor.execute("""
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SELECT COUNT(*) as total,
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SUM(CASE WHEN similar_artist_spotify_id IS NOT NULL AND similar_artist_spotify_id != '' THEN 1 ELSE 0 END) as has_spotify
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FROM similar_artists
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WHERE source_artist_id = ? AND profile_id = ?
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""", (source_artist_id, profile_id))
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id_row = cursor.fetchone()
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if id_row and id_row['total'] > 0:
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# If less than 50% have Spotify IDs, consider stale and refetch
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spotify_ratio = id_row['has_spotify'] / id_row['total']
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if spotify_ratio < 0.5:
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logger.debug(f"Similar artists for {source_artist_id} missing Spotify IDs ({id_row['has_spotify']}/{id_row['total']}), will refetch")
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return False
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return True
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except Exception as e:
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@ -1105,6 +1105,29 @@ def test_curate_discovery_playlists_uses_source_priority_for_recent_albums(monke
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assert any(key == "discovery_weekly_deezer" for key, _ in saved_playlists)
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def test_has_fresh_similar_artists_uses_age_only(tmp_path):
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from datetime import datetime
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from database.music_database import MusicDatabase
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db = MusicDatabase(str(tmp_path / "music.db"))
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db.add_or_update_similar_artist(
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source_artist_id="source-1",
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similar_artist_name="Similar Artist",
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similar_artist_itunes_id="it-artist",
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similar_artist_deezer_id="dz-artist",
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profile_id=1,
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)
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with db._get_connection() as conn:
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conn.execute(
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"UPDATE similar_artists SET last_updated = ? WHERE source_artist_id = ? AND profile_id = ?",
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(datetime.now().isoformat(), "source-1", 1),
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)
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conn.commit()
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assert db.has_fresh_similar_artists("source-1", days_threshold=30, profile_id=1) is True
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def test_match_to_spotify_uses_strict_lookup():
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spotify_client = _FakeSpotifyClient(
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search_results=[types.SimpleNamespace(id="fallback-id", name="Artist One")]
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