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DPM/backend/main.py
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# -*- 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_FILEcertifi)、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()