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Bug 1 (main.py): _generate_hybrid_daily_mix was slicing songs[:30] before
passing to _process_recommendations. Since _is_duplicate() both checks AND
adds to self.processed_songs, later playlists with overlapping genres would
have all 30 of their songs already flagged as duplicates -> 0 songs added.
Fix: return the full pool so _process_recommendations can iterate past
duplicates and still fill max_songs=30.
Bug 2 (listenbrainz.py): get_created_for_you_playlists() was filtering for
top-level 'id' and 'name' keys, but the ListenBrainz API returns JSPF format
where each playlist is wrapped as {"playlist": {"title": ..., "identifier": ...}}.
No playlists ever passed the filter -> always 0 playlists found.
Fix: validate against the correct nested structure.
- Rewrote _process_recommendations with per-playlist dedup (Set), up to 3 download rounds, similar-song check, and a 5x candidate pool so every playlist can independently reach max_songs even when earlier playlists already consumed popular tracks. - Fixed AudioMuse prompt loop: now accumulates unique songs across prompt variants instead of overwriting with each attempt, ensuring the full songs_per_mix quota is filled from variant results.
Added optional mbid parameter to search_song method for MusicBrainz ID lookup.
Added a buffer to the number of LLM songs requested to account for version mismatches and download failures.
Added filtering for unexpected playlists returned by AI.
Updated the default value for PERF_DOWNLOAD_DELAY from 6 to 10 seconds.
Updated performance parameters for download and post-scan delays.
Update env variables
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