- Updated LoggerDB to remove all active sinks on initialization.
- Added a new PostgresCredencial setup in notas_mmr.py for database connection.
- Replaced print statements with logger calls for better logging in notas_mmr.py.
- Introduced new FastAPI endpoints for various chart types (bar, line, pie, scatter).
- Created Editor_biblioteca.css for styling the rich text editor.
- Implemented Editor_Test.tsx to test the rich text editor functionality.
- Removed prueba_cliente_mcp.py as it was no longer needed.
- Updated prueba_loop_agente.py to integrate MCPServerRunner for managing server instances.
- Modified prueba_mcp.py to implement a new structure for starting and stopping MCP servers.
- Enhanced AgenteAI class to support multiple MCP blocks execution.
- Improved MCPClient with timeout handling for tool calls.
- Added new sandbox files for children's stories.
- Created a simple ERP system with a main entry point.
- Added unit tests for the ERP system.
- Implemented MCPServerRunner to manage server processes.
- Developed server_files.py to handle file operations securely within a sandbox environment.
- Introduced ElementoWeb and Navegador classes for web scraping functionalities.
- Enhanced Scrapper and Tab classes for better interaction with web pages.
- Added `text_manager.py` to handle the creation of text libraries via FastAPI.
- Introduced database connection management in `conexion.py` using PostgreSQL credentials from environment variables.
- Created abstract base class `EmbedderABC` in `Base_Embedder.py` for embedding models.
- Developed `OpenAIEmbedder` class to generate embeddings using OpenAI's API.
- Implemented `OpenAIEmbedderModel` and repository pattern for managing OpenAI embedders in `Openai_embedder_mmr.py`.
- Established `Biblioteca` class for managing text libraries and their associated notes in `biblioteca.py`.
- Created SQLAlchemy models and mappers for `Biblioteca` and `Nota` in `biblioteca_mmr.py` and `notas_biblioteca_mmr.py`.
- Added functionality for dynamic table generation for notes associated with libraries.
- Included comprehensive methods for adding, retrieving, and managing notes and libraries in their respective repositories.
- 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.
- Implemented OpenAICredencial class for managing OpenAI API keys.
- Created OpenAICredencialModel and OpenAICredencialMapper for SQLAlchemy integration.
- Developed OpenAICredencialRepo for CRUD operations on OpenAI credentials.
- Established OpenAICliente class for interacting with OpenAI API.
- Introduced PostgresCredencial class for managing PostgreSQL connection details.
- Created PostgresCredencialModel and PostgresCredencialMapper for SQLAlchemy integration.
- Developed PostgresCredencialRepo for CRUD operations on PostgreSQL credentials.
- Added base connection class and PostgreSQL connection implementation.
- Included environment variable loading for sensitive data management.
egutierrez