014e636889
- section-energy: track activity matrix + volume/velocity multipliers per section - smart-chords: ChordEngine with voice leading, inversions, 4 emotion modes - hook-melody: melody engine with hook/stabs/smooth styles, call-and-response - mix-calibration: Calibrator module (LUFS volumes, HPF/LPF, stereo, sends, master) - transitions-fx: FX track with risers/impacts/sweeps at section boundaries - sidechain: MIDI CC11 bass ducking on kick hits via DrumLoopAnalyzer - presets-pack: role-aware plugin presets (Serum/Decapitator/Omnisphere per role) Full SDD pipeline (propose→spec→design→tasks→apply→verify) for all 7 changes. 302/302 tests passing.
50 lines
1.4 KiB
Python
50 lines
1.4 KiB
Python
import json, hashlib, os
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# Load our sample index
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idx = json.load(open('data/sample_index.json'))
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samples = idx['samples']
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# Build MD5 → sample map
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md5_map = {}
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for s in samples:
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h = s.get('file_hash', '')
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if h:
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md5_map[h] = s
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# Ableton drumloop paths
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ableton_dir = r"C:\ProgramData\Ableton\Live 12 Suite\Resources\MIDI Remote Scripts\libreria\reggaeton\drumloops"
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ableton_samples = [
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"100bpm filtrado drumloop.wav",
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"90bpm reggaeton antiguo drumloop.wav",
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"94bpm reggaeton antiguo 2 drumloop.wav",
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"100bpm_gata-only_drumloop.wav",
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"98bpm yera drumloop.wav",
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"98bpm nachogflow drumloop.wav",
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"90bpm reggaeton antiguo 3 drumloop.wav",
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]
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print("Matching Ableton samples to our library:\n")
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for name in ableton_samples:
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path = os.path.join(ableton_dir, name)
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if not os.path.exists(path):
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print(f" NOT FOUND: {name}")
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continue
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# Compute MD5
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h = hashlib.md5()
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with open(path, 'rb') as f:
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for chunk in iter(lambda: f.read(8192), b''):
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h.update(chunk)
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md5 = h.hexdigest()
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# Lookup in index
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match = md5_map.get(md5)
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if match:
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print(f" {name}")
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print(f" -> {match['original_name']}")
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print(f" MD5: {md5}")
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print(f" Path: {match['original_path']}")
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else:
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print(f" {name} -> NO MATCH (md5={md5})")
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print()
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