mARTin-B78
db6302f99d
- Add VERSION file (1.1.0) at repo root
- core/constants.py: expose __version__ read from VERSION file
- routes/admin.py: GET /api/version endpoint returns {version}
- Settings → About: display "v1.1.0" next to app name via /api/version fetch
- CHANGELOG.md: full rewrite following Keep a Changelog + Semantic Versioning
- [Unreleased] staging section at top
- [1.1.0] 2026-05-29 — security, perf, refactor, UX changes from this session
- [1.0.0] 2026-05-28 — all pre-session features documented
- Compare links at bottom pointing to GitHub
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
133 lines
6.7 KiB
Python
133 lines
6.7 KiB
Python
"""Boot-time defaults, path constants, in-memory log buffer, and routing log."""
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from __future__ import annotations
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import logging
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import os
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import shutil
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from datetime import datetime, timezone
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from pathlib import Path
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# ── Version ───────────────────────────────────────────────────────────────────
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def _read_version() -> str:
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v_file = Path(__file__).parent.parent / "VERSION"
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try:
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return v_file.read_text().strip()
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except Exception:
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return "0.0.0"
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__version__: str = _read_version()
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# ── Boot-time defaults ────────────────────────────────────────────────────────
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_VOICES_DIR_DEFAULT = os.environ.get("VOICES_DIR", "/voices")
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_OUTPUT_DIR_DEFAULT = os.environ.get("OUTPUT_DIR", "/voices/active_voices")
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_WHISPER_DEFAULT = os.environ.get("WHISPER_URL", "http://host.docker.internal:8010")
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_TTS_DEFAULT = os.environ.get("TTS_URL", "http://host.docker.internal:8020")
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_TTS_STREAM_DEFAULT = os.environ.get("TTS_STREAM_URL", "http://host.docker.internal:8023")
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_CUSTOMVOICE_DEFAULT = os.environ.get("CUSTOMVOICE_URL", "http://host.docker.internal:8022")
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_VOICE_DESIGN_DEFAULT = os.environ.get("VOICE_DESIGN_URL", "http://host.docker.internal:8021")
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_NVIDIA_ROUTER_DEFAULT = os.environ.get("NVIDIA_SPEECH_ROUTER_URL", "http://host.docker.internal:8090")
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_NVIDIA_TTS_DEFAULT = os.environ.get("NVIDIA_MAGPIE_TTS_URL", "http://host.docker.internal:8091")
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_NVIDIA_ASR_DEFAULT = os.environ.get("NVIDIA_PARAKEET_ASR_URL", "http://host.docker.internal:8092")
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_NVIDIA_CLONE_DEFAULT = os.environ.get("NVIDIA_TTS_CLONE_URL", "http://host.docker.internal:8093")
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_NVIDIA_ZEROSHOT_DEFAULT = os.environ.get("NVIDIA_ZEROSHOT_TTS_URL", _NVIDIA_CLONE_DEFAULT)
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_NVIDIA_FLOW_DEFAULT = os.environ.get("NVIDIA_FLOW_TTS_URL", "http://host.docker.internal:8094")
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_FASTER_WHISPER_DEFAULT = os.environ.get("FASTER_WHISPER_URL", "http://host.docker.internal:8000")
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_WHISPER_CPP_DEFAULT = os.environ.get("WHISPER_CPP_URL", "http://host.docker.internal:8085")
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_GROQ_STT_ENDPOINT = "https://api.groq.com/openai/v1"
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_KOKORO_DEFAULT = os.environ.get("KOKORO_URL", "http://host.docker.internal:8880/v1")
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_VIBEVOICE_DEFAULT = os.environ.get("VIBEVOICE_URL", "http://192.168.178.8:8027")
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_XTTS_DEFAULT = os.environ.get("XTTS_URL", "http://host.docker.internal:8024")
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_TTS_CONTAINER = os.environ.get("TTS_CONTAINER_NAME", "faster-qwen3-tts")
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_TTS_CONTAINERS_RAW = os.environ.get("TTS_CONTAINER_NAMES", "") # comma-separated override
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_VOICE_DESIGN_MODEL = os.environ.get("VOICE_DESIGN_MODEL", "Qwen3-TTS-12Hz-1.7B-VoiceDesign")
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_VOICE_TARGET_DBFS = float(os.environ.get("VOICE_TARGET_DBFS", "-20.0"))
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_VOICE_PEAK_DBFS = float(os.environ.get("VOICE_PEAK_DBFS", "-1.0"))
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_MAX_UPLOAD_BYTES = int(os.environ.get("MAX_UPLOAD_MB", "1024")) * 1024 * 1024
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_MAX_PICTURE_BYTES = int(os.environ.get("MAX_PICTURE_MB", "10")) * 1024 * 1024
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_MAX_SOUND_BYTES = int(os.environ.get("MAX_SOUND_MB", "25")) * 1024 * 1024
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_MAX_TTS_OUTPUT_SECONDS = float(os.environ.get("MAX_TTS_OUTPUT_SECONDS", "30"))
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_STT_REQUEST_TIMEOUT = float(os.environ.get("STT_REQUEST_TIMEOUT", os.environ.get("REQUEST_TIMEOUT", "900")))
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_BENCHMARK_TEXT = os.environ.get("VOICE_BENCHMARK_TEXT", "This is a short realtime voice benchmark.")
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_BENCHMARK_SENTENCES = [
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("short", _BENCHMARK_TEXT),
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("medium", "The quick brown fox jumps over the lazy dog near the river bank."),
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(
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"long",
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"Artificial intelligence is transforming the way we interact with technology. "
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"From voice assistants to autonomous vehicles, machine learning models are becoming "
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"an integral part of everyday life.",
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),
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]
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_ALLOW_PRIVATE_DOWNLOADS = os.environ.get("ALLOW_PRIVATE_DOWNLOADS", "").lower() in {"1", "true", "yes"}
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# ── Config dir calculation ────────────────────────────────────────────────────
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logger = logging.getLogger("uvicorn.error")
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def _default_config_dir() -> Path:
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env_dir = os.environ.get("CONFIG_DIR")
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if env_dir:
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return Path(env_dir)
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current = Path("/home/app/.config/tts-voice-creator")
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legacy = Path("/home/app/.config/voice-clone-factory")
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if legacy.exists():
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legacy.mkdir(parents=True, exist_ok=True)
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if current.exists():
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for name in ("settings.json", "voice_design_presets.json", "tts_routes.json"):
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src, dst = current / name, legacy / name
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if src.exists() and not dst.exists():
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try:
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shutil.copy2(src, dst)
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except Exception as exc:
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logger.warning("Could not migrate config %s to mounted config dir: %s", name, exc)
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return legacy
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return current
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CONFIG_DIR = _default_config_dir()
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CONFIG_FILE = CONFIG_DIR / "settings.json"
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DESIGN_PRESETS_FILE = CONFIG_DIR / "voice_design_presets.json"
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TTS_ROUTES_FILE = CONFIG_DIR / "tts_routes.json"
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# ── Static dir ────────────────────────────────────────────────────────────────
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STATIC_DIR = Path(__file__).parent.parent / "static"
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STATIC_DIR.mkdir(exist_ok=True)
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# ── In-memory log buffer ───────────────────────────────────────────────────────
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_LOG_BUFFER_MAX = 400
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_log_buffer: list[dict] = []
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class _BufferHandler(logging.Handler):
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def emit(self, record: logging.LogRecord) -> None:
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try:
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_log_buffer.insert(0, {
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"ts": datetime.fromtimestamp(record.created, tz=timezone.utc).isoformat(),
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"level": record.levelname,
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"name": record.name,
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"msg": record.getMessage(),
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})
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del _log_buffer[_LOG_BUFFER_MAX:]
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except Exception:
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pass
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# ── Routing log ───────────────────────────────────────────────────────────────
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_ROUTING_LOG_MAX = int(os.environ.get("TTS_ROUTING_LOG_MAX", "120"))
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_routing_log: list[dict] = []
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def _routing_log_add(**entry) -> None:
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item = {
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"ts": datetime.now(timezone.utc).isoformat(),
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**entry,
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}
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_routing_log.insert(0, item)
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del _routing_log[_ROUTING_LOG_MAX:]
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