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feat: Dockerize application and add MySQL logging
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.
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@@ -2,11 +2,14 @@ import os
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import requests
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from telegram import Update
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from telegram.ext import ContextTypes, ConversationHandler, CommandHandler, MessageHandler, filters
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from modules.database import log_request
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# Estado
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ESPERANDO_ARCHIVO = 1
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async def start_print(update: Update, context: ContextTypes.DEFAULT_TYPE) -> int:
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user = update.effective_user
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log_request(user.id, user.username, "print", update.message.text)
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await update.message.reply_text("🖨️ **Servicio de Impresión**\n\nPor favor, envíame el archivo (PDF, DOCX o Imagen) que deseas imprimir/enviar.")
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return ESPERANDO_ARCHIVO
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