mirror of
https://github.com/marcogll/telegram_new_socias.git
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fec578bd7c
This commit introduces Docker and Docker Compose to containerize the application and orchestrate it with a MySQL database. Key changes include: - Added a `Dockerfile` to create a container for the Python bot. - Created a `docker-compose.yml` file to manage the bot and MySQL services. - Added a `modules/database.py` module to handle database connections and logging with SQLAlchemy. - Integrated request logging into all command handlers. - Updated `requirements.txt` with necessary dependencies for MySQL. - Updated `.env` and `.gitignore` to manage database credentials securely. - Updated `Readme.md` with instructions on how to run the application using Docker Compose.
65 lines
2.2 KiB
Python
65 lines
2.2 KiB
Python
import os
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from sqlalchemy import create_engine, Column, Integer, String, DateTime, MetaData, Table
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from sqlalchemy.orm import sessionmaker
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from sqlalchemy.ext.declarative import declarative_base
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from datetime import datetime
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import logging
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# Configuración de logging
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
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# Obtener la URL de la base de datos desde las variables de entorno
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DATABASE_URL = os.getenv("DATABASE_URL", "mysql+mysqlconnector://user:password@db:3306/vanessa_logs")
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# Crear el motor de la base de datos
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engine = create_engine(DATABASE_URL)
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metadata = MetaData()
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# Base para los modelos declarativos
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Base = declarative_base()
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# Clase que mapea a la tabla de logs
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class RequestLog(Base):
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__tablename__ = 'request_logs'
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id = Column(Integer, primary_key=True)
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telegram_id = Column(String(50))
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username = Column(String(100))
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command = Column(String(100))
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message = Column(String(500))
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created_at = Column(DateTime, default=datetime.utcnow)
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# Función para inicializar la base de datos
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def init_db():
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try:
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logging.info("Inicializando la base de datos y creando tablas si no existen...")
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Base.metadata.create_all(bind=engine)
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logging.info("Tablas verificadas/creadas correctamente.")
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except Exception as e:
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logging.error(f"Error al inicializar la base de datos: {e}")
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raise
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# Crear una sesión para interactuar con la base de datos
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SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
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# Función para registrar una solicitud en la base de datos
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def log_request(telegram_id, username, command, message):
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db_session = SessionLocal()
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try:
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log_entry = RequestLog(
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telegram_id=str(telegram_id),
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username=username,
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command=command,
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message=message
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)
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db_session.add(log_entry)
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db_session.commit()
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logging.info(f"Log guardado: {command} de {username}")
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except Exception as e:
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logging.error(f"Error al guardar el log: {e}")
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db_session.rollback()
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finally:
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db_session.close()
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# Inicializar la base de datos al arrancar el módulo
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init_db()
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