98 lines
3.2 KiB
Python
Executable File
98 lines
3.2 KiB
Python
Executable File
from contextlib import asynccontextmanager
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.staticfiles import StaticFiles
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from fastapi.responses import FileResponse
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from api.routes import router as api_router
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from api.kg_routes import router as kg_router
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from api.reasoning_routes import router as reasoning_router
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from api.rag_v10_routes import router as v10_router
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from api.advanced_rag_routes import router as advanced_rag_router
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from api.raptor_routes import router as raptor_router
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from api.temporal_routes import router as temporal_router
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from api.kg_rag_routes import router as kg_rag_router # 方案A: KG-RAG融合
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from api.species_routes import router as species_router # 物种查询路由
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from api.methodology_routes import router as methodology_router
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from api.kb_qa_routes import router as kb_qa_router
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from api.v15_graph_qa_routes import router as v15_graph_qa_router
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from api.v15_agentic_qa_routes import router as v15_agentic_qa_router
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from src.rag.project_config import PROJECT_ROOT
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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yield
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app = FastAPI(
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title="Gene Family RAG System",
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description="纯净版RAG系统 - 为bbav20311项目提供知识检索支持",
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version="1.0.0",
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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=["*"],
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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.include_router(kg_router, prefix="/api/v1")
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app.include_router(reasoning_router, prefix="/api/v1")
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app.include_router(v10_router, prefix="/api/v1")
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app.include_router(advanced_rag_router, prefix="/api/v1")
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app.include_router(raptor_router, prefix="/api/v1")
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app.include_router(temporal_router, prefix="/api/v1")
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app.include_router(kg_rag_router, prefix="/api/v1") # 方案A: KG-RAG融合
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app.include_router(species_router, prefix="/api/v1") # 物种查询路由
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app.include_router(methodology_router, prefix="/api/v1")
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app.include_router(kb_qa_router, prefix="/api/v1") # V15 SRT SQLite知识库QA
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app.include_router(v15_graph_qa_router, prefix="/api/v1") # V15 Neo4j Graph QA
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app.include_router(v15_agentic_qa_router, prefix="/api/v1") # V15 Agentic QA
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# 静态文件服务
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app.mount("/static", StaticFiles(directory=str(PROJECT_ROOT / "static")), name="static")
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@app.get("/")
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async def root():
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return FileResponse(str(PROJECT_ROOT / "static" / "index.html"))
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@app.get("/health")
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async def health_check():
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return {"status": "healthy"}
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# 监控指标端点
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from fastapi import Request
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import time
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# 简单的请求计数器
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request_count = 0
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request_times = []
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@app.middleware("http")
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async def add_metrics(request: Request, call_next):
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global request_count
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start_time = time.time()
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request_count += 1
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response = await call_next(request)
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process_time = time.time() - start_time
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request_times.append(process_time)
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if len(request_times) > 1000:
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request_times.pop(0)
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return response
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@app.get("/metrics")
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async def metrics():
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"""Prometheus监控指标"""
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avg_time = sum(request_times) / len(request_times) if request_times else 0
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return {
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"request_count": request_count,
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"avg_response_time": avg_time,
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"status": "healthy"
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}
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