admin
2dc984401d
Implement C.1 stdio MCP server CRUD, encrypted environment secrets, command digest approval, connection tests, lifecycle recovery, and dynamic tool registration. Add the standalone frontend configuration center, contracts, regression tests, and development documentation.
58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
from contextlib import asynccontextmanager
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from fastapi import FastAPI
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from fastapi.exceptions import RequestValidationError
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from fastapi.middleware.cors import CORSMiddleware
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from starlette.exceptions import HTTPException as StarletteHttpException
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from app.config import get_settings
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from app.container import container
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from app.errors import ApiError, api_error_handler, http_error_handler, validation_error_handler
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from app.routes import router as api_router
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from app.schemas import HealthResponse, ServiceStatusResponse
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settings = get_settings()
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@asynccontextmanager
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async def lifespan(_: FastAPI):
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yield
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# 第三方 MCP Server 必须跟随 AI Core 退出，不能遗留孤儿进程。
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container.plugins.shutdown()
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container.mcp_servers.shutdown()
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app = FastAPI(
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title=settings.name,
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version=settings.version,
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description="AI 笔记软件的本地 AI Core 与 Agent Core 服务。",
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lifespan=lifespan,
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)
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["http://127.0.0.1:5173", "http://localhost:5173"],
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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.add_exception_handler(ApiError, api_error_handler)
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app.add_exception_handler(RequestValidationError, validation_error_handler)
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app.add_exception_handler(StarletteHttpException, http_error_handler)
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app.include_router(api_router)
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@app.get("/health", response_model=HealthResponse, tags=["System"])
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async def health() -> HealthResponse:
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return HealthResponse()
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@app.get("/api/status", response_model=ServiceStatusResponse, tags=["System"])
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async def service_status() -> ServiceStatusResponse:
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return ServiceStatusResponse(
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name=settings.name,
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version=settings.version,
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environment=settings.environment,
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)
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