- Introduced a mechanism to track and save the visibility state of datasets in the Chart.js historical plot component.
- Implemented functions to save, restore, and apply dataset visibility states during chart updates and creations.
- Modified the legend click behavior to update the visibility state in the dataset visibility map.
- Updated system state JSON to reflect changes in active datasets and last update timestamp.
- Added `isSimplePlot` prop to toggle simple plot mode for faster navigation.
- Introduced `isFullscreen` prop to enable fullscreen mode for a compact layout.
- Implemented chart resizing on fullscreen toggle.
- Updated dataset configuration to respect simple plot settings.
- Modified chart controls to hide/show based on fullscreen state.
- Added fullscreen modal with navigation controls in PlotHistoricalSession.
- Updated system state JSON to reflect changes in active datasets and last update timestamp.
- Updated PlotHistoricalSession to handle time range changes.
- Modified TimePointSelector to include a new range input for selecting time range in seconds.
- Implemented state management for the new range input and synchronized it with time changes.
- Added apply changes button to confirm both time and range adjustments.
- Improved logging for better debugging and tracking of changes.
- 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.
- Updated the dataset variables UI schema to support two configuration types: manual and symbol-based.
- Implemented a new DatasetVariableSymbolWidget for symbol selection with auto-fill capabilities.
- Modified the DatasetManager to handle the new schema structure and UI layout.
- Integrated the new widget into the DatasetVariablesRJSF component for improved user experience.
- Updated the SymbolSelectorWidget to support callbacks for symbol selection.
- Refactored the FormTable component to utilize the new allWidgets import for better widget management.
- Added error handling and loading states for improved user feedback during data fetching.
- 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 CollapsiblePlotChart to display correct variable count.
- Added getPlotVariables helper function to retrieve plot variables based on plot ID.
- Enhanced PlotManager to log plot data loading and adjust dependencies for useEffect.
- Refactored handleControlClick in PlotRealtimeSession to use useCallback and maintain session state during refresh.
- Implemented logic to restart active plots after configuration refresh in PlotRealtimeSession.
- Removed unused DashboardNew component to streamline codebase.
- Updated system_state.json to reflect changes in active datasets and last update timestamp.
- Deleted validate_schema.py as it is no longer needed for schema validation.
Miguel