egutierrez
b4ca0cf600
- Removed unused security module and updated import paths. - Enhanced OpenAI client with streaming capabilities for chat completions. - Added new backend API endpoints for health check (ping). - Established a new FastAPI application with CORS configuration. - Created a new Appshell component for the frontend with navigation links. - Integrated SVG icons and improved styling for the Appshell component. - Implemented memory management for conversation history using PostgreSQL. - Developed abstract classes for AI agents and models, with OpenAI integration. - Added encryption utilities for secure data handling.
48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
# entrypoint/init_db.py
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from src.base import Base
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from src.ConexionSql.Postgres_conexion import PostgresConexion # Asegúrate de tener esta clase implementada correctamente
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from src.Credenciales.postgres_credencial import PostgresCredencial # Asegúrate de tener esta clase implementada correctamente
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from src.Credenciales.postgres_credencial_mmr import PostgresCredencialModel
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from src.ApiKeys.openai_apikey_mmr import OpenAICredencialModel
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from src.Llms.Modelos.Openai_model_mmr import ModeloOpenAIConfigModel
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from dotenv import load_dotenv
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import os
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from entrypoint import ENV_PATH
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# Ruta específica al archivo .env
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dotenv_path = ENV_PATH
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# Cargar el archivo
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load_dotenv(dotenv_path)
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titulo = os.getenv('DB_TITLE')
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usuario = os.getenv('DB_USER')
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passwrd = os.getenv('DB_PASSWORD')
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host = os.getenv('DB_HOST')
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port = os.getenv('DB_PORT')
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db_name = os.getenv('DB_NAME')
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db_credencial = PostgresCredencial(
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titulo=titulo,
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user=usuario,
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password=passwrd,
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host=host,
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port=port,
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dbname=db_name
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)
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def init_db():
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# Crear engine desde la clase de conexión PostgreSQL
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conexion = PostgresConexion(db_credencial)
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engine = conexion.engine # Recuperamos el engine directamente
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print("Creando tablas...")
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Base.metadata.create_all(engine)
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print("¡Listo!") |