- Added Appshell component with responsive navbar and main content area
- Integrated ColorSchemeToggle for light/dark mode switching
- Created Welcome component with styled title and introductory text
- Developed ChatPage for LLM interaction with WebSocket support
- Implemented Biblioteca for managing notes with rich text editor
- Added LoginPage for user authentication with error handling
- Introduced MessageList and MessageBubble components for chat messages
- Styled components with CSS modules for consistent design
- Added WebSocket endpoint for real-time chat interactions.
- Refactored ChatPage component to utilize WebSocket for sending and receiving messages.
- Updated chat service to handle streaming responses from the LLM agent.
- Introduced error handling for WebSocket connections and message processing.
- Modified Editor_Test to include AppShellWithMenu for better layout.
- Adjusted file path in generar_tree.py for correct directory structure.
- Created llm_chat_endpoint_v1.py and llm_chat_srvc.py for handling chat requests and responses.
- Established logging for WebSocket interactions and errors.
feat: Implement LlamadorAPI component for API interaction with dynamic request handling
feat: Create MetodoSelect component for selecting HTTP methods with visual feedback
feat: Add VisualizacionesRandom component to display various charts using ECharts
feat: Develop custom 404 Error page with holographic shader effect
feat: Create HoloShader component for dynamic background effects on 404 page
style: Add CSS styles for Appshell layout and navigation
feat: Build Appshell component to manage application layout and navigation
feat: Add ColorSchemeToggle component for switching between light and dark themes
feat: Create Plantilla component as a template for future pages
style: Define styles for Welcome component
feat: Implement Welcome component with introductory text and links
feat: Develop HomePage component to serve as the main entry point of the application
feat: Create Biblioteca component for managing notes and libraries with rich text editor
feat: Add Editor_Test component for testing rich text editor functionality
style: Define styles for the rich text editor in Biblioteca
- 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 `echarts` and `echarts-for-react` dependencies to the project.
- Created new pages for visualizations: `VisualizacionesRandom` and `Camara_noir`.
- Implemented `CanvasDisplay`, `ControlPanel`, `CaptureGrid`, `GridConfigPanel`, and `FrameCard` components for camera functionality.
- Integrated WebSocket for real-time image capture in `useCamaraNoir` hook.
- Developed FastAPI backend with endpoints for various chart data (bar, line, pie, scatter).
- Updated routing to include new analytics paths for visualizations.
- Modified submenu links to reflect new analytics options.
- 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.
- Added new directories for Llms and Security components under src.
- Moved existing files into their respective directories for better organization.
- Updated file paths in imports to reflect the new structure.
- Replaced favicon.svg with a new version and updated its import path in index.html.
- Created a new LogoIcon component for the favicon with customizable colors.
- Added main and submenu link data files for navigation.
- Removed unused favicon.svg from public directory.
- Updated theme colors for a refreshed UI look.
- 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.
- Introduced a new page for API consultation (`Consulta_API`) with a form to send requests.
- Added routing for the new page and a 404 error page.
- Created a `MetodoSelect` component for selecting HTTP methods.
- Implemented a `MiBoton` component for a customizable button.
- Updated the `HomePage` layout to include a sidebar (`DoubleNavbar`) and main content area.
- Enhanced the `Welcome` component with a new greeting and description.
- Added a holographic shader background to the 404 error page.
- Updated dependencies in `yarn.lock` for new components and features.
- Styled the sidebar and main content for better user experience.
- 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