- Added a function to check for a running instance of the application before initializing PLCDataStreamer, providing faster feedback to the user.
- Improved the graceful shutdown process to ensure proper cleanup of resources and instance locks.
- Updated the main execution flow to include early instance checks and handle potential runtime errors more gracefully.
- Modified system_state.json to set "should_connect" to true and updated the active datasets.
- Increased time_window in plot_definitions.json from 10 to 60.
- Added external_path function in config_manager.py to handle paths for records and logs, ensuring compatibility with both development and PyInstaller executable environments.
- Updated PLCDataStreamer to use the new get_csv_directory_path method for retrieving the records directory.
- Refactored main.py to include get_records_directory function for consistent records directory path retrieval.
- Modified system_state.json to set should_connect to false and updated last_update timestamp.
- Introduced ConsoleLogsDisplay component to replace EventsDisplay for showing console logs.
- Implemented log export feature to download console logs as a text file.
- Updated API to fetch console logs from the backend.
- Modified DashboardContent to load and display console logs instead of events.
- Adjusted UI elements for better user experience with logs.
- Added new endpoint in the backend to retrieve recent console logs.
- Updated system state and configuration files accordingly.
- Added DataAvailabilityBar component to visualize data segments on the timeline.
- Integrated DataAvailabilityBar into TimePointSelector and ChartjsHistoricalPlot components.
- Updated PlotHistoricalSession to fetch data segments from the backend.
- Modified API to include endpoint for retrieving historical data segments.
- Refactored date formatting to use 'en-US' locale for consistency.
- Removed reset zoom functionality and associated UI elements from ChartjsHistoricalPlot.
- Se creó el archivo PERFORMANCE_MONITORING.md que detalla el sistema de monitoreo de rendimiento en tiempo real, incluyendo métricas, logs y APIs de monitoreo.
- Se desarrolló el archivo PRIORITY_SYSTEM.md que describe la arquitectura de prioridades para asegurar que el recording de CSV tenga máxima prioridad.
- Se implementó el PerformanceMonitor en core/performance_monitor.py para registrar métricas de rendimiento, incluyendo tiempos de lectura, uso de CPU y errores.
- Se creó el PriorityThreadManager en core/priority_manager.py para gestionar la prioridad de los hilos y asegurar que las operaciones de recording no sean interrumpidas.
- Se implementó un sistema de logging rotativo en core/rotating_logger.py que permite la rotación automática de archivos de log y limpieza de archivos antiguos.
- Introduced a new TimePointSelector component to allow users to select a specific date and time using a date picker and a slider.
- Integrated the TimePointSelector into the PlotHistoricalSession component for enhanced time navigation.
- Implemented state management for central time and time range in PlotHistoricalSession.
- Added API endpoint to fetch available date range for historical data.
- Updated ChartjsHistoricalPlot to improve data processing and logging.
- Enhanced error handling and logging in the backend for better debugging.
- Updated frontend dependencies, including the addition of react-datepicker.
- Deleted PlotRealtimeViewer.jsx and PlotTableManager.jsx components to streamline the codebase.
- Removed associated imports and references in Dashboard.jsx.
- Cleaned up unused TabCoordinationDemo component.
- Updated main.py to serve SIDEL.png from the public folder.
- Removed obsolete test scripts related to configuration reload, endpoint testing, header validation, and symbol loading.
- Introduced `useCoordinatedConnection` and `useCoordinatedPolling` hooks to manage data fetching and state synchronization between tabs.
- Refactored `DatasetCompleteManager`, `PlotRealtimeViewer`, and `VariableSelectorWidget` components to utilize SSE and polling for live data updates.
- Added `TabCoordinationDemo` component to visualize tab coordination status and leadership.
- Updated `Dashboard` to leverage coordinated polling for status updates, improving performance and reducing redundant connections.
- Enhanced `TabCoordinator` utility to manage leadership and data broadcasting between tabs effectively.
- Enhanced session ID generation to include browser tab identifiers, allowing multiple instances of the same plot in different tabs.
- Updated PlotManager to manage sessions more effectively, including cleanup of inactive sessions.
- Modified frontend components to handle dynamic session IDs and ensure independent operation across tabs.
- Added new API endpoints for retrieving sessions by plot ID and manual cleanup of inactive sessions.
- Improved error handling and logging for better debugging and user experience.
- Se añadieron múltiples eventos de inicio de aplicación, activación de datasets y creación de sesiones de gráficos en el archivo application_events.json.
- Se mejoró la función get_historical_data en main.py con un manejo de errores más robusto y mensajes de depuración detallados.
- Se actualizó el estado del sistema en system_state.json para reflejar los cambios en los datasets activos y la última actualización.
- Se documentaron las mejoras en la Memoria de Evolución, destacando la implementación de la carga de datos históricos y la validación de encabezados CSV.
- Updated dataset_variables.json to include new variables and adjust configurations.
- Modified plot_variables.json to add visualization settings for new variables.
- Enhanced ConfigManager to support expansion of symbolic variables, improving variable management.
- Updated PLCClient to handle additional memory types for variable reading.
- Refactored VariableSelectorWidget to utilize expanded dataset variables for better selection.
- Added new API endpoint to retrieve expanded dataset variables.
- Adjusted system_state.json to reflect changes in active datasets and last update timestamp.
- Implemented a new utility class `SymbolLoader` to parse Siemens ASC symbol files and save the output in JSON format.
- Created a `SymbolProcessor` class to handle symbol-based variable processing, including loading symbols and expanding configurations.
- Developed frontend components `FilePathWidget` and `SymbolSelectorWidget` for file selection and symbol selection respectively.
- Added API endpoints for loading symbols and browsing files.
- Introduced test scripts for validating the symbol loader and endpoint functionality.
- Added sample ASC and JSON files for testing purposes.
- Updated dataset definitions to use a sampling interval of 0.5 seconds.
- Changed plot definitions to reduce the time window to 25 seconds and added a new plot for "Brix".
- Removed deprecated variable configurations from plot variables.
- Refactored ConfigManager to load datasets and variables from new array format, eliminating legacy save methods.
- Updated PLCDataStreamer and PlotManager to reflect changes in dataset and plot management, removing automatic save calls.
- Enhanced ChartjsPlot component to handle variable configurations and session management more efficiently.
- Improved PlotRealtimeSession to ensure backend commands are verified before applying local state changes.
- Adjusted system state to reflect active datasets and connection status.
- Updated JSON schema for plot variables to improve clarity and structure.
- Modified UI schema for dataset variables to enhance user experience and layout.
- Revamped plot definitions UI schema for better organization and usability.
- Enhanced dataset manager to support filtered variable configuration based on selected datasets.
- Implemented a unified JSON manager for streamlined CRUD operations on configuration files.
- Improved error handling and validation for JSON schema loading and configuration management.
- Updated main application logic to utilize new JSON and schema managers for configuration operations.
- Added validation for dataset definitions and PLC configuration schemas.
- Changed dataset_variables schema from object to array format, adding dataset_id property.
- Updated plc schema by removing cleanup_interval_hours and max_hours properties, and added sampling_interval to udp_config.
- Modified plot_variables schema from object to array format, adding plot_id property.
- Enhanced UI schemas for dataset definitions and variables, improving layout and descriptions.
- Updated PLC configuration UI schema to reflect changes in the underlying schema.
- Improved error handling and logging in the ConfigManager for better diagnostics.
- Added helper methods in PLCClient for reconnection status and connection info.
- Unified API endpoints for configuration management, allowing direct file access and validation against schemas.
- Introduced a validation script for schema compliance checks.
Miguel