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import uuid
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import uvicorn # 导入 uvicorn
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from fastapi import FastAPI, HTTPException, Depends, Form
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from sqlalchemy.orm import Session
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from starlette.responses import JSONResponse
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from starlette.staticfiles import StaticFiles
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from Model.biModel import *
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from Text2Sql.Util.PostgreSQLUtil import PostgreSQLUtil
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from Text2Sql.Util.SaveToExcel import save_to_excel
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from Text2Sql.Util.VannaUtil import VannaUtil
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# 初始化 FastAPI
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app = FastAPI()
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# 配置静态文件目录
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app.mount("/static", StaticFiles(directory="static"), name="static")
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@app.get("/")
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def read_root():
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return {"message": "Welcome to Vanna AI SQL !"}
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# 创建记录
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@app.post("/questions/", response_model=TBIQuestionCreate)
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def create_question(question: TBIQuestionCreate, db: Session = Depends(get_db)):
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db_question = TBIQuestion(**question.dict())
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db.add(db_question)
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db.commit()
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db.refresh(db_question)
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return db_question
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# 读取记录
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@app.get("/questions/{question_id}", response_model=TBIQuestionCreate)
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def read_question(question_id: int, db: Session = Depends(get_db)):
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db_question = db.query(TBIQuestion).filter(TBIQuestion.id == question_id).first()
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if db_question is None:
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raise HTTPException(status_code=404, detail="Question not found")
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return db_question
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# 更新记录
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@app.put("/questions/{question_id}", response_model=TBIQuestionCreate)
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def update_question(question_id: int, question: TBIQuestionUpdate, db: Session = Depends(get_db)):
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db_question = db.query(TBIQuestion).filter(TBIQuestion.id == question_id).first()
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if db_question is None:
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raise HTTPException(status_code=404, detail="Question not found")
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for key, value in question.dict().items():
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if value is not None:
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setattr(db_question, key, value)
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db.commit()
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db.refresh(db_question)
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return db_question
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# 删除记录
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@app.delete("/questions/{question_id}")
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def delete_question(question_id: int, db: Session = Depends(get_db)):
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db_question = db.query(TBIQuestion).filter(TBIQuestion.id == question_id).first()
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if db_question is None:
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raise HTTPException(status_code=404, detail="Question not found")
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db.delete(db_question)
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db.commit()
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return {"message": "Question deleted successfully"}
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# 通过语义生成Excel
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# http://10.10.21.20:8000/questions/get_excel
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# 参数：question
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@app.post("/questions/get_excel")
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def get_excel(question: str = Form(...)):
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vn = VannaUtil()
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# 指定学段
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# question = '''
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# 查询:
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# 1、发布时间是2024年度
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# 2、每个学段，每个科目，上传课程数量，按由多到少排序
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# 3、字段名: 学段,科目,排名,课程数量
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# '''
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common_prompt = '''
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返回的信息要求：
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1、行政区划为NULL 或者是空字符的不参加统计
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2、目标数据库是Postgresql 16
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'''
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question = question + common_prompt
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# 获取完整 SQL
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sql = vn.generate_sql(question)
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print("生成的查询 SQL:\n", sql)
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# 执行SQL查询
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with PostgreSQLUtil() as db:
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_data = db.execute_query(sql)
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print(_data)
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# 在static目录下，生成一个guid号的临时文件
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uuidStr = str(uuid.uuid4())
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filename = f"static/{uuidStr}.xlsx"
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save_to_excel(_data, filename)
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# 返回静态文件URL
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return {"success": True, "message": "Excel文件生成成功", "download_url": f"/static/{uuidStr}.xlsx"}
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# 确保直接运行脚本时启动 FastAPI 应用
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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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