- Removed multiple failed document entries from `documents.json`. - Added a new document entry with updated metadata and changed the index name to `regulations_dense_1024_v2`. - Updated architecture documentation to reflect changes in the Milvus collection name. - Adjusted requirements by removing the sqlalchemy dependency. - Modified test cases to align with new document structure and naming conventions. - Introduced a new test file for Milvus vector index runtime recovery and error handling. - Updated assertions in various test files to ensure compatibility with the new schema.
121 lines
3.2 KiB
Python
121 lines
3.2 KiB
Python
"""FastAPI application entrypoint."""
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from contextlib import asynccontextmanager
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from fastapi import FastAPI, Request
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from fastapi.encoders import jsonable_encoder
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import JSONResponse
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from loguru import logger
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from app.api.models import ErrorResponse
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from app.api.routes import api_router
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from app.config.logging import setup_logging
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from app.config.settings import settings
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from app.shared.bootstrap import cleanup_runtime_dependencies, preload_runtime_dependencies
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from app.shared.errors import VectorStoreSchemaError
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# Keep module behavior explicit so the backend flow stays easy to audit.
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setup_logging(level="INFO" if not settings.debug else "DEBUG")
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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"""Application lifecycle hooks."""
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logger.info(f"启动 {settings.app_name} v{settings.app_version}")
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logger.info(f"调试模式: {settings.debug}")
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logger.info("预加载LLM客户端...")
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preload_runtime_dependencies()
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yield
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logger.info("应用关闭,执行清理...")
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cleanup_runtime_dependencies()
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app = FastAPI(
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title=settings.app_name,
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description=(
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"AI+合规智能中枢 - 法律法规文档解析入库功能\n\n"
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"支持PDF/DOCX文档解析、智能分块、向量嵌入、Milvus存储"
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),
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version=settings.app_version,
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lifespan=lifespan,
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docs_url="/docs",
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redoc_url="/redoc",
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)
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app.add_middleware(
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CORSMiddleware,
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allow_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(api_router, prefix="/api/v1")
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@app.exception_handler(VectorStoreSchemaError)
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async def vector_store_schema_exception_handler(request: Request, exc: VectorStoreSchemaError):
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"""Return a stable JSON response for vector store schema/runtime errors."""
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logger.error(f"向量库 schema 异常: {exc}")
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return JSONResponse(
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status_code=500,
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content=jsonable_encoder(
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ErrorResponse(
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error="VectorStoreSchemaError",
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message=str(exc),
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)
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),
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)
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@app.exception_handler(Exception)
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async def global_exception_handler(request: Request, exc: Exception):
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"""Global exception handler."""
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logger.error(f"未处理的异常: {exc}")
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return JSONResponse(
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status_code=500,
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content=jsonable_encoder(
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ErrorResponse(
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error="InternalServerError",
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message=str(exc),
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)
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),
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)
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@app.get("/health", tags=["health"])
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async def health_check():
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"""Health check endpoint."""
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return {
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"status": "healthy",
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"app": settings.app_name,
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"version": settings.app_version,
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}
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@app.get("/", tags=["root"])
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async def root():
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"""Root endpoint."""
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return {
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"message": f"Welcome to {settings.app_name}",
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"version": settings.app_version,
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"docs": "/docs",
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"health": "/health",
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}
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(
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"app.api.main:app",
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host=settings.api_host,
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port=settings.api_port,
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reload=settings.debug,
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log_level="info",
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)
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