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- Konzept/, didaktik_geografie/, didaktik_simulation/, v2-modules/, v2-platform/ - 12 code-workspace-Files - STATUS-*.md - viele M/D/R-Änderungen an bereits getrackten Files - .gitignore verstärkt: **/.humaninput/, **/secret_keys.txt Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
117 lines
4.5 KiB
Python
117 lines
4.5 KiB
Python
#!/usr/bin/env python3
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"""
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Regeneriert alle MP3s, deren Text sich gegenueber audio-texts.json.bak-pre-christo-kill
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geaendert hat ODER deren Text einen Aussprache-Map-Key enthaelt (= braucht neue Aussprache).
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Logik:
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1) Diff zwischen current und .bak-pre-christo-kill -> 'changed'
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2) Eintraege mit Aussprache-Map-Treffern ('Montafon', 'Brandner', ...) -> 'pron'
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3) Vereinigung -> regen-Liste
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Voice-Routing wie regenerate-mission-audios.py.
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Cache (audio-durations.json) wird fuer regenerierte Eintraege geloescht.
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Usage:
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python regenerate-changed-audios.py --dry # zeigt nur Liste
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python regenerate-changed-audios.py # regeneriert wirklich
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"""
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import json, os, sys, subprocess, tempfile, shutil, time
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KEY = os.environ.get('ELEVENLABS_API_KEY') or 'sk_8e21b8c2723d95fc581953c1d0fff9af3e1298faa378a651'
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REPO = 'C:/xampp/htdocs/geograsim/App/sims/heli'
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OUT_DIR = REPO + '/sounds/radio'
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TEXTS_FILE = REPO + '/scripts/audio-texts.json'
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BAK = TEXTS_FILE + '.bak-pre-christo-kill'
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MAP_FILE = REPO + '/data/aussprache-map.json'
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DUR_FILE = REPO + '/data/audio-durations.json'
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VOICE_SARAH = 'EXAVITQu4vr4xnSDxMaL'
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VOICE_BELLA = 'hpp4J3VqNfWAUOO0d1Us'
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def voice_for(aid):
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if aid.startswith('r_mission_intro_') or aid.startswith('r_mission_start_') or aid.startswith('r_tower_'):
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return VOICE_SARAH, 'Sarah'
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return VOICE_BELLA, 'Bella'
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def apply_pron(text, mapping):
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for k in sorted(mapping.keys(), key=len, reverse=True):
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text = text.replace(k, mapping[k])
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return text
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def generate(aid, text, voice_id):
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out = OUT_DIR + '/' + aid + '.mp3'
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if os.path.exists(out):
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shutil.copy(out, out + '.bak-pre-christo-kill')
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body = json.dumps({
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'text': text,
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'model_id': 'eleven_multilingual_v2',
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'voice_settings': {'stability': 0.55, 'similarity_boost': 0.75, 'style': 0.1, 'use_speaker_boost': True}
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}, ensure_ascii=False)
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with tempfile.NamedTemporaryFile(mode='w', encoding='utf-8', suffix='.json', delete=False) as f:
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f.write(body); bpath = f.name
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r = subprocess.run(['curl','-sS','-w','%{http_code}','-o',out,
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'-X','POST','https://api.elevenlabs.io/v1/text-to-speech/' + voice_id,
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'-H','xi-api-key: ' + KEY,
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'-H','Content-Type: application/json; charset=utf-8',
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'--data-binary','@' + bpath], capture_output=True, text=True, timeout=120)
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os.unlink(bpath)
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if r.stdout.strip() == '200':
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return 'ok', os.path.getsize(out)
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return 'err-' + r.stdout, 0
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def main():
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if not os.path.exists(BAK):
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print('FEHLER: ' + BAK + ' nicht vorhanden.')
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sys.exit(2)
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current = json.load(open(TEXTS_FILE, 'r', encoding='utf-8'))
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bak = json.load(open(BAK, 'r', encoding='utf-8'))
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pron = json.load(open(MAP_FILE, 'r', encoding='utf-8'))['pronunciations']
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durs = json.load(open(DUR_FILE, 'r', encoding='utf-8'))
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pron_keys = list(pron.keys())
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changed, pron_only = [], []
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for aid, txt in current.items():
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if aid.startswith('_'): continue
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if not isinstance(txt, str): continue
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old = bak.get(aid, '')
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if txt != old:
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changed.append(aid)
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elif any(k in txt for k in pron_keys):
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pron_only.append(aid)
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to_regen = changed + pron_only
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print(f'Diff-changed: {len(changed)}')
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print(f'Pron-Map-only: {len(pron_only)} ({", ".join(pron_only) if pron_only else "-"})')
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print(f'Total Regen: {len(to_regen)}')
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if '--dry' in sys.argv:
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print('\n--dry-run, keine Audios generiert.')
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return
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print(f'\nStarte Regen ({len(to_regen)} MP3s)...')
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t0 = time.time()
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ok, fail = 0, 0
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for i, aid in enumerate(to_regen, 1):
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text = current[aid]
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tts = apply_pron(text, pron)
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voice, label = voice_for(aid)
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status, size = generate(aid, tts, voice)
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elapsed = time.time() - t0
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eta = (elapsed / i) * (len(to_regen) - i) if i > 0 else 0
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if status == 'ok':
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print(f' [{i:3d}/{len(to_regen)}] OK {aid:42s} {size//1024:>4}K [{label}] ETA {eta:.0f}s')
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ok += 1
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durs['durations'].pop(aid, None)
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else:
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print(f' [{i:3d}/{len(to_regen)}] ERR {aid:42s} {status}')
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fail += 1
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# Zwischenspeicherung jedes 20. Mal
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if i % 20 == 0:
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json.dump(durs, open(DUR_FILE, 'w', encoding='utf-8'), indent=2, ensure_ascii=False)
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json.dump(durs, open(DUR_FILE, 'w', encoding='utf-8'), indent=2, ensure_ascii=False)
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print(f'\nFertig: {ok} OK, {fail} Fehler, {time.time()-t0:.0f}s gesamt')
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if __name__ == '__main__':
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main()
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