109 lines
4.7 KiB
Python
109 lines
4.7 KiB
Python
"""FastAPI 应用入口"""
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import asyncio
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from contextlib import asynccontextmanager
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from fastapi import Depends, FastAPI
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from loguru import logger
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from app.api.agent import router
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from app.api.conversations import router as conversation_router
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from app.api.files import UploadSizeLimit
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from app.api.files import limits_router as file_limits_router
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from app.api.files import router as file_router
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from app.api.materials import router as material_router
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from app.core.auth import get_current_user
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from app.core.exceptions import register_exception_handlers
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from app.core.logging import setup_logging
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@asynccontextmanager
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async def lifespan(application: FastAPI):
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setup_logging()
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from app.agent.screen_agent import get_screen_agent
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from app.clients.decision import close_decision_engine
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from app.clients.mcp import start_mcp_servers, stop_mcp_servers
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from app.clients.user_center import close_user_center
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from app.datafiles.insights import generate_insights, insights_enabled
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from app.datafiles.service import DataFileService
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from app.datafiles.storage import open_data_file_store
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from app.observability.tracing import flush_tracing
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from app.processor.graph import build_graph
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from app.services.agent import AgentService
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from app.services.material_mongo import warm_material_cache
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from app.services.persistence import open_persistence
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# 按配置选择 MongoDB 或进程内存，会话记录与图检查点使用同一种存储
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persistence = await open_persistence()
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application.state.conversation_store = persistence.store
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mcp_processes = []
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sweeper = None
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data_files = None
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try:
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# 数据文件的元数据和会话记录用同一种存储；启动时先清理一遍过期目录，之后每小时一次
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data_files = DataFileService(
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await open_data_file_store(persistence.db),
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persistence.store,
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insights=generate_insights if insights_enabled() else None,
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)
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application.state.data_file_service = data_files
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sweeper = asyncio.create_task(data_files.run_sweeper())
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# 物料目录启动时载入内存，动作校验与前端接口共用，避免重复查询数据库
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await warm_material_cache(persistence.db)
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# 拉起 mcp_servers.json 中由应用管理的服务；单个服务失败只记录，用到它的请求执行时报错
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mcp_processes = await start_mcp_servers()
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# 提前拉取 MCP 工具并组装 agent，问题在启动时暴露；失败只记录，首个请求会重试
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try:
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await get_screen_agent()
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except Exception as error:
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logger.opt(exception=error).error("screen agent 预先组装失败")
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application.state.agent_service = AgentService(
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build_graph(persistence.checkpointer), persistence.store, data_files
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)
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yield
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finally:
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if sweeper is not None:
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sweeper.cancel()
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if data_files is not None:
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await data_files.aclose()
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# 共享客户端只在应用退出时关闭，追踪刷新放到线程避免阻塞事件循环
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try:
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await stop_mcp_servers(mcp_processes)
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finally:
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try:
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await persistence.close()
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finally:
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try:
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await close_decision_engine()
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finally:
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try:
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await close_user_center()
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finally:
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try:
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await asyncio.to_thread(flush_tracing)
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finally:
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await logger.complete()
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def create_app() -> FastAPI:
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application = FastAPI(title="Screen Agent API", lifespan=lifespan)
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# 统一处理请求校验、HTTP 错误和未捕获异常
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register_exception_handlers(application)
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# 统一 /api 前缀，方便前端代理和反向代理只配置一条规则
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# 会话和 agent 接口需登录，物料目录是全局公开数据
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authenticated = [Depends(get_current_user)]
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application.include_router(router, prefix="/api", dependencies=authenticated)
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application.include_router(
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conversation_router, prefix="/api", dependencies=authenticated
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)
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# 上传限制无需登录；要先于 /files/{file_id} 注册，否则会被当成文件 ID
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application.include_router(file_limits_router, prefix="/api")
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application.include_router(file_router, prefix="/api", dependencies=authenticated)
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# 上传在读请求体之前先按 Content-Length 检查大小
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application.add_middleware(UploadSizeLimit, path=f"/api{file_router.prefix}")
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application.include_router(material_router, prefix="/api")
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return application
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app = create_app()
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