Fase 1: Populate BPM in sample_metadata.db (283/511 samples from filenames)
Fase 2: DB-aware sample selection (_pick_best_db) with BPM±5 and key matching
Fase 3: Auto-warp samples to project tempo via warp_clip_to_bpm
Fase 4: Connect pattern_library engines (BassPatterns, ChordProgressions, MelodyGenerator)
Fase 5: Harmonic coherence — detect key from drumloop and transpose MIDI
Fase 6: SentimientoLatino2025 + reggaeton3 integrated — 616 samples, 19 clean categories
New files:
- engines/bpm_key_parser.py — robust BPM+key parser for filenames
- engines/populate_bpm_from_filenames.py — DB population script
- engines/recategorize_samples.py — category normalization (19 categories)
Modified:
- score_renderer.py — DB selection, auto-warp, engine patterns, key detection, 18 categories
- ai_loop.py — SYSTEM_PROMPT with full category list
