e857828fe5
- Introduce a new `.env.example` file for environment variable setup, including `PUBLIC_IP`, `TURN_SECRET`, and `TURN_URLS` for WebRTC TURN server configuration. - Update `docker-compose.yaml` to support TURN server deployment with necessary environment variables and commands. - Enhance backend configuration and routes to include WebRTC ICE server settings, allowing for STUN/TURN server integration. - Implement a new service for managing WebRTC ICE server configurations, providing credentials for TURN when configured. - Modify frontend API to fetch ICE server configurations dynamically, improving support for cross-network voice preview.
61 lines
1.6 KiB
Python
61 lines
1.6 KiB
Python
"""FastAPI 入口。挂载路由,放行前端跨域,启动时建表。
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启动: uv run --with-requirements requirements.txt uvicorn app:app --reload --port 8000
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路由分组(对齐 dograh 的 routes/ 结构):
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/health 健康检查
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/api/assistants 助手 CRUD
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/api/interface-definitions 接口定义
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/api/model-resources 模型资源 CRUD
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/ws/voice WebRTC 输出(浏览器)
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/ws/stream WS 输出(裸音频流)
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/api/webrtc/ice-servers WebRTC STUN/TURN 配置
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"""
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from contextlib import asynccontextmanager
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import config
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import uvicorn
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from db.session import init_db
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from routes import (
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assistants,
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health,
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knowledge_bases,
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model_registry,
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node_types,
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voice_webrtc,
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voice_ws,
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)
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@asynccontextmanager
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async def lifespan(_app: FastAPI):
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await init_db() # MVP:启动建表;表稳定后切 alembic
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yield
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app = FastAPI(title="AI Video Assistant 平台 - 后端", lifespan=lifespan)
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app.add_middleware(
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CORSMiddleware,
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allow_origins=config.CORS_ORIGINS,
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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app.include_router(health.router)
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app.include_router(assistants.router)
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app.include_router(knowledge_bases.router)
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app.include_router(model_registry.router)
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app.include_router(node_types.router)
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app.include_router(voice_webrtc.router)
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app.include_router(voice_ws.router)
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if __name__ == "__main__":
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uvicorn.run("app:app", host=config.HOST, port=config.PORT, reload=True)
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