85 lines
2.5 KiB
Python
85 lines
2.5 KiB
Python
"""
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武侠三部曲 GraphRAG — FastAPI 后端
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端点:
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GET /api/health — 健康检查（含 Neo4j 连通性）
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GET /api/stats — 图谱节点/关系统计
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POST /api/import — 触发数据导入（一次性操作）
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POST /api/chat — 知识问答（Text-to-Cypher + LLM 回答）
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"""
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from fastapi import FastAPI, HTTPException
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from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel
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from graph_query import get_driver, get_graph_stats
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from graph_builder import build_all_graphs
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from llm_router import answer_question
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import uvicorn
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app = FastAPI(title="武侠三部曲 GraphRAG API", version="1.1.0")
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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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# ── Models ────────────────────────────────────────────────
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class ChatRequest(BaseModel):
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question: str
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class ImportRequest(BaseModel):
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clear: bool = False # True = 先清空图谱再重新导入
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novels: list[str] | None = None # 默认导入 dtslz/ldj/tlbb
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# ── Endpoints ─────────────────────────────────────────────
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@app.get("/api/health")
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def health():
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driver = get_driver()
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try:
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driver.verify_connectivity()
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return {"status": "ok", "neo4j": "connected"}
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except Exception as e:
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raise HTTPException(status_code=503, detail=f"Neo4j 连接失败: {e}")
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@app.get("/api/stats")
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def stats():
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try:
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return get_graph_stats()
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except Exception as e:
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raise HTTPException(status_code=503, detail=str(e))
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@app.post("/api/import")
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def import_data(req: ImportRequest = ImportRequest()):
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"""导入小说数据到 Neo4j（耗时约 1-3 分钟，请勿重复调用）"""
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driver = get_driver()
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try:
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build_all_graphs(driver, novels=req.novels, clear=req.clear)
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stats = get_graph_stats()
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return {"status": "ok", "stats": stats}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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@app.post("/api/chat")
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def chat(req: ChatRequest):
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if not req.question.strip():
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raise HTTPException(status_code=400, detail="问题不能为空")
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return answer_question(req.question)
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if __name__ == "__main__":
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uvicorn.run("app:app", host="0.0.0.0", port=8000, reload=True)
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