56e637a300
- faster-whisper, Qwen3-ASR, gateway 각 컴포넌트별 Python venv 분리 - 기본언어 한국어(ko) - 처리내역 탭: 목록/상세/원본파일 재생/삭제 - 백엔드별 동적 모델 드랍다운 - /history, /uploads API 추가 - 기존 인스턴스(port 18100) 보존, 신규 port 18101 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
66 lines
1.9 KiB
Python
66 lines
1.9 KiB
Python
from __future__ import annotations
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import os
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from pathlib import Path
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from typing import Optional
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def env_str(name: str, default: str = "") -> str:
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return os.getenv(name, default)
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def env_int(name: str, default: int) -> int:
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raw = os.getenv(name)
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if raw is None or raw == "":
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return default
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return int(raw)
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def env_float(name: str, default: float) -> float:
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raw = os.getenv(name)
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if raw is None or raw == "":
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return default
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return float(raw)
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def env_bool(name: str, default: bool = False) -> bool:
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raw = os.getenv(name)
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if raw is None:
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return default
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return raw.strip().lower() in {"1", "true", "yes", "on"}
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ASR_BASE_DIR = Path(env_str("ASR_BASE_DIR", "/srv/asr"))
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MODEL_CACHE = Path(env_str("WHISPER_CACHE_DIR", str(ASR_BASE_DIR / "models-cache")))
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UPLOAD_DIR = ASR_BASE_DIR / "uploads"
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RESULT_DIR = ASR_BASE_DIR / "results"
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CUSTOM_MODEL_DIR = ASR_BASE_DIR / "custom-models"
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DEVICE = env_str("ASR_DEVICE", "cuda")
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COMPUTE_TYPE = env_str("ASR_COMPUTE_TYPE", "float16")
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DEFAULT_BACKEND = env_str("DEFAULT_BACKEND", "faster-whisper")
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DEFAULT_MODEL = env_str("DEFAULT_MODEL", "large-v3")
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DEFAULT_LANGUAGE = env_str("DEFAULT_LANGUAGE", "ko")
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FASTER_WHISPER_URL = env_str("FASTER_WHISPER_URL", "http://127.0.0.1:8001")
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QWEN3_URL = env_str("QWEN3_URL", "http://127.0.0.1:8004")
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PYANNOTE_HF_TOKEN = env_str("PYANNOTE_HF_TOKEN", "")
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def ensure_runtime_dirs() -> None:
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for p in [ASR_BASE_DIR, MODEL_CACHE, UPLOAD_DIR, RESULT_DIR, CUSTOM_MODEL_DIR]:
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p.mkdir(parents=True, exist_ok=True)
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def resolve_custom_model_path(custom_model_path: Optional[str]) -> Optional[str]:
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if not custom_model_path:
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return None
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raw = custom_model_path.strip()
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if not raw:
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return None
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candidate = Path(raw)
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if candidate.is_absolute():
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return str(candidate)
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return str((CUSTOM_MODEL_DIR / candidate).resolve())
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