# -*- coding: utf-8 -*- """开发/部署入口:uv run main.py(或 python main.py) 启动前自动完成环境初始化(无需手动 export): 1. 读取 backend/.env(阿里云密钥、端口、MQTT 等,见 app/config.py) 2. 本地资源收进 backend/ 内,不依赖其他项目: TORCH_HOME -> backend/.torch-cache (silero VAD) NLTK_DATA -> backend/nltk_data (标点/分词数据) 3. 网络直连:SSL_CERT_FILE(certifi)、NO_PROXY(绕过系统代理直达阿里云) 4. 默认开启 s2s 实时语音栈(.env 设 DPM_S2S_ENABLED=0 可关闭) 对应 uvicorn 命令:uvicorn app.main:app --host 0.0.0.0 --port 10085 """ import os from pathlib import Path BACKEND_DIR = Path(__file__).resolve().parent def _load_dotenv(path: Path): """极简 .env 解析:KEY=VALUE,支持 # 注释与引号(与 app/config.py 一致)""" if not path.exists(): return for raw in path.read_text("utf-8").splitlines(): line = raw.strip() if not line or line.startswith("#") or "=" not in line: continue key, _, value = line.partition("=") key = key.strip() value = value.strip().strip('"').strip("'") if key and key not in os.environ: os.environ[key] = value def prepare_env(): """进程环境初始化 —— 必须在 import app.config / torch 之前调用。""" # 1) 项目内 .env 优先(已有环境变量不覆盖) _load_dotenv(BACKEND_DIR / ".env") # 2) 本地模型/数据缓存全部收进 backend/(部署时随目录整体拷贝即可) os.environ.setdefault("TORCH_HOME", str(BACKEND_DIR / ".torch-cache")) os.environ.setdefault("NLTK_DATA", str(BACKEND_DIR / "nltk_data")) # 3) 网络直连(绕过 macOS 系统 SOCKS 代理;TLS 用 certifi 证书) os.environ.setdefault("NO_PROXY", "*") os.environ.setdefault("no_proxy", "*") try: import certifi os.environ.setdefault("SSL_CERT_FILE", certifi.where()) except Exception: pass # 4) 默认开启 s2s 实时语音栈(.env 的 DPM_S2S_ENABLED=0 优先生效) os.environ.setdefault("DPM_S2S_ENABLED", "1") prepare_env() import uvicorn # noqa: E402 from app.config import settings # noqa: E402 def main(): s2s = "on" if settings.S2S_ENABLED else "off" print("=" * 64) print(f" DPM 后端 : http://{settings.HOST}:{settings.PORT}") print(f" s2s 语音栈 : {s2s}" + (f" (ws://{settings.S2S_HOST}:{settings.S2S_PORT}/v1/realtime)" if settings.S2S_ENABLED else "")) print(f" 模型 : ASR={settings.S2S_STT_MODEL} LLM={settings.S2S_LLM_MODEL} TTS={settings.S2S_TTS_MODEL} ({settings.S2S_TTS_VOICE})") print(f" 本地资源 : TORCH_HOME={os.environ.get('TORCH_HOME')}") print(f" NLTK_DATA={os.environ.get('NLTK_DATA')}") print("=" * 64) uvicorn.run("app.main:app", host=settings.HOST, port=settings.PORT, reload=False) if __name__ == "__main__": main()