42cab2a6ef
Add pipecat-based backend with WebRTC/WS voice routes, Next.js frontend, and Docker Compose orchestration. Co-authored-by: Cursor <cursoragent@cursor.com>
49 lines
1.3 KiB
Python
49 lines
1.3 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: 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/credentials 模型凭证 CRUD(key 打码)
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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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"""
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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 assistants, credentials, health, voice_webrtc, voice_ws
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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(credentials.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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