cfc/cfc-langgraph/app/main.py

import os
import time
import asyncio
import logging
from fastapi import FastAPI, Request
from app.api import health, recommend, chat, analyze, tongue, adapter, report_parse, meal, logs, audio, innate_portrait, self_check, knowledge_base, portrait, article_quiz, indicator_classify
from app import monitoring
from src.app import router as questionnaire_router
from app.middleware import RequestLogMiddleware

logger = logging.getLogger(__name__)

app = FastAPI(title="cfc-langgraph", version="0.3.0")

# 注册请求日志中间件（纯 ASGI，避免 BaseHTTPMiddleware 消费 body 导致单 worker 死锁）
app.add_middleware(RequestLogMiddleware)

app.include_router(health.router)
app.include_router(recommend.router)
app.include_router(chat.router)
app.include_router(analyze.router)
app.include_router(tongue.router)
app.include_router(adapter.router)
app.include_router(monitoring.router)
app.include_router(questionnaire_router)
app.include_router(report_parse.router)
app.include_router(meal.router)
app.include_router(audio.router)
app.include_router(logs.router)
app.include_router(innate_portrait.router)
app.include_router(self_check.router)
app.include_router(self_check.router)
app.include_router(knowledge_base.router)
app.include_router(portrait.router)
app.include_router(article_quiz.router)
app.include_router(indicator_classify.router)


@app.on_event("startup")
async def startup():
    from app.config import settings
    from app.log_config import setup_logging

    json_logs = os.getenv("JSON_LOGS", "false").lower() == "true"
    setup_logging(level=settings.log_level, json_format=json_logs)

    # 初始化 faster-whisper STT 模型
    from app.audio.transcriber import init_model
    init_model()

    if os.getenv("LANGCHAIN_TRACING_V2", "").lower() == "true":
        logger.info(
            "LangSmith 已启用: project=%s, api_key=%s...",
            settings.langchain_project,
            settings.langchain_api_key[:8] if settings.langchain_api_key else "none",
        )

    from app.rag.retriever import RagRetriever
    retriever = RagRetriever()
    await retriever.initialize()

    # 初始化 LangGraph checkpointer（必须在运行中的事件循环内创建 AsyncSqliteSaver）
    from app.checkpointer import init_checkpointer
    await init_checkpointer()

    async def schedule_kb_sync():
        # 首次同步延迟 120s，让 healthcheck 先通过，避免 worker 刚启动就被阻塞
        await asyncio.sleep(120)
        while True:
            try:
                from app.tasks.knowledge_sync import sync_knowledge_base
                await sync_knowledge_base()
            except Exception as e:
                logger.warning("知识库同步失败: %s", e)
            await asyncio.sleep(3600)

    asyncio.create_task(schedule_kb_sync())
    logger.info("知识库定时同步已启动 (首次延迟 120s，间隔 3600s)")


@app.on_event("shutdown")
async def shutdown():
    from app.tools.java_client import JavaClient
    client = JavaClient()
    await client.close()