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Browse files- Dockerfile +15 -0
- app.py +79 -0
- requirements.txt +5 -0
Dockerfile
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# Usa una imagen base de Python
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FROM python:3.9
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# Establece el directorio de trabajo
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WORKDIR /code
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# Copia los archivos necesarios al contenedor
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COPY ./requirements.txt /code/requirements.txt
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RUN pip install --no-cache-dir -r /code/requirements.txt
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COPY . .
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RUN chmod -R 777 /code
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# Comando para ejecutar la aplicación
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CMD ["python", "app.py"]
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app.py
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from pydantic import BaseModel
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from fastapi import FastAPI, HTTPException, Depends
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from fastapi.middleware.cors import CORSMiddleware
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from sqlalchemy import create_engine, text
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from sqlalchemy.orm import sessionmaker, declarative_base
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import uvicorn
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import os
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from dotenv import load_dotenv
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load_dotenv() # Carga las variables de entorno desde el archivo .env
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DATABASE_URL = os.getenv("DB_URI")
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# Configurar SQLAlchemy
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engine = create_engine(DATABASE_URL)
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SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
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Base = declarative_base()
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# CORS
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app = FastAPI()
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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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# Modelo para recibir consultas SQL
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class SQLQuery(BaseModel):
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query: str
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# Dependencia para obtener la sesión de la base de datos
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def get_db():
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db = SessionLocal()
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try:
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yield db
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finally:
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db.close()
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@app.post(
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"/execute",
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summary="Ejecutar consulta SQL",
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description="Ejecuta una consulta SQL en la base de datos MySQL",
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)
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def execute_query(sql_query: SQLQuery, db=Depends(get_db)):
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try:
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result = db.execute(text(sql_query.query))
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if result.returns_rows:
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rows = result.fetchall()
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columns = result.keys()
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results = [dict(zip(columns, row)) for row in rows]
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return {"results": results}
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db.commit()
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return {"message": "Consulta ejecutada exitosamente"}
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except Exception as e:
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db.rollback()
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raise HTTPException(status_code=400, detail=str(e))
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@app.get(
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"/list_tables",
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summary="Listar todas las tablas",
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description="Lista todas las tablas de la base de datos",
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)
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def list_tables(db=Depends(get_db)):
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try:
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result = db.execute(text("SHOW TABLES;"))
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tables = [row[0] for row in result.fetchall()]
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return {"tables": tables}
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except Exception as e:
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raise HTTPException(status_code=400, detail=str(e))
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if __name__ == "__main__":
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uvicorn.run(app, host="localhost", port=7860)
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requirements.txt
ADDED
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@@ -0,0 +1,5 @@
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fastapi
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uvicorn
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python-dotenv
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mysqlclient
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sqlalchemy
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