tts-voice-creator-clone-and.../core/presets.py
mARTin-B78 c7a1e35539 Security audit, modular refactor, and container-name field
Security fixes:
- Block /proc /sys /dev /run /boot in /api/browse-dirs (path traversal)
- Verify yt-dlp output stays inside TEMP_DIR before registration
- Remove Access-Control-Allow-Origin: * from /api/proxy-audio
- TTL-based temp file registry (default 2h) to prevent disk fill

Performance:
- Cache settings + routing rules in memory (mtime-checked); eliminates
  per-request disk reads on every TTS call

UI:
- Add container name (optional) field to Docker stack TTS/STT engine
  cards (Qwen3 Voice Clone, Voice Design, Custom Voice, Streaming,
  NVIDIA Magpie, Parakeet) — enables Stop/Start/Restart buttons on
  all engine cards, matching the existing Other Local TTS/STT cards

Refactor — backend:
- server.py: 5560 lines → 43-line entry point
- core/ package: constants, registry, validation, docker_client,
  config, routing, audio, voice, presets, tts_helpers
- routes/ package: admin, settings, library, stt, sources, docker,
  tts, conversation (FastAPI APIRouter modules)
- Dockerfile + docker-compose.yml updated to include core/ and routes/

Refactor — frontend:
- static/app.js: 8744 lines → 16 modules in static/js/
  utils, voice-inspector, voice-sources, integrations, routing,
  settings, voice-clone, voice-library, tts-preview, benchmark,
  stt, init, engines, ai-backends, generation, conversation
- static/loader.js updated to load modules sequentially

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-29 12:13:07 +02:00

96 lines
4.3 KiB
Python

"""Voice design presets: load, save, slug helpers."""
from __future__ import annotations
import json
import re
from core.constants import CONFIG_DIR, DESIGN_PRESETS_FILE
_DEFAULT_DESIGN_PRESETS = {
"EN_M_Young_Energetic": {
"description": "Young adult male voice, clear English, bright and energetic, moderately high pitch, quick but controlled speaking rate, confident and friendly, suitable for tutorials or streaming.",
"sample_text": "Hey everyone, welcome back. Today we are going to move quickly, keep it clear, and make this setup feel easy.",
"language": "English",
"gender": "M",
},
"EN_F_Warm_Narrator": {
"description": "Adult female English narrator, warm and smooth, medium pitch, calm pace, gentle emotion, clear articulation, suited for audiobooks and voice assistant responses.",
"sample_text": "The room grew quiet as the morning light touched the window, and for a moment everything felt simple and kind.",
"language": "English",
"gender": "F",
},
"DE_M_Elderly_Documentary": {
"description": "Aeltere maennliche deutsche Stimme, tief und resonant, langsam und gelassen, klar artikuliert, ruhig und dokumentarisch, mit serioeser und vertrauensvoller Praesenz.",
"sample_text": "Seit vielen Jahren beobachten wir diesen Ort, seine Geschichte und die Menschen, die ihn mit Leben fuellen.",
"language": "German",
"gender": "M",
},
"DE_F_Young_Friendly": {
"description": "Junge weibliche deutsche Stimme, hell und freundlich, natuerliche Sprechgeschwindigkeit, klare Aussprache, leicht optimistisch und nahbar, passend fuer Assistenten und kurze Erklaerungen.",
"sample_text": "Hallo, schoen dass du da bist. Ich zeige dir kurz, wie alles funktioniert, Schritt fuer Schritt.",
"language": "German",
"gender": "F",
},
"EN_N_Old_Wise_Assistant": {
"description": "Older neutral English voice, gentle and wise, slightly low pitch, slow measured pace, soothing tone, very clear pronunciation, calm personality for guidance and reflective narration.",
"sample_text": "Take a slow breath. We will look at the facts carefully, choose the next step, and keep moving.",
"language": "English",
"gender": "N",
},
}
def _slug_voice_design_name(name: str) -> str:
slug = re.sub(r"[^A-Za-z0-9_.-]+", "_", name.strip()).strip("._-")
return slug or "VoiceDesign"
def _load_design_presets() -> dict:
presets = dict(_DEFAULT_DESIGN_PRESETS)
if DESIGN_PRESETS_FILE.exists():
try:
saved = json.loads(DESIGN_PRESETS_FILE.read_text())
if isinstance(saved, dict):
for name, preset in saved.items():
if isinstance(preset, dict):
presets[_slug_voice_design_name(str(name))] = {
"description": str(preset.get("description", "")),
"sample_text": str(preset.get("sample_text", preset.get("text", ""))),
"language": str(preset.get("language", "Auto")),
"gender": str(preset.get("gender", "N")),
}
except Exception:
pass
return presets
def _save_design_presets(presets: dict) -> None:
cleaned = {}
for name, preset in presets.items():
if not isinstance(preset, dict):
continue
key = _slug_voice_design_name(str(name))
cleaned[key] = {
"description": str(preset.get("description", "")),
"sample_text": str(preset.get("sample_text", preset.get("text", ""))),
"language": str(preset.get("language", "Auto")),
"gender": str(preset.get("gender", "N")),
}
CONFIG_DIR.mkdir(parents=True, exist_ok=True)
DESIGN_PRESETS_FILE.write_text(json.dumps(cleaned, indent=2))
def _virtual_voice_id(name: str) -> str:
return f"vd_{_slug_voice_design_name(name)}"
def _resolve_virtual_voice(voice: str) -> tuple[str, dict] | None:
if not voice.startswith("vd_"):
return None
wanted = _slug_voice_design_name(voice[3:])
presets = _load_design_presets()
for name, preset in presets.items():
if _slug_voice_design_name(name) == wanted:
return name, preset
return None