- Refactored performance monitoring initialization for better readability.
- Added critical validation to ensure buffered data matches current dataset variables, preventing CSV corruption.
- Implemented logging for data inconsistencies and buffer clearing during variable modifications.
- Improved error handling and logging during CSV flushing and dataset reading.
- Enhanced UDP streaming error handling and logging.
- Updated threading management for CSV flushing and dataset streaming.
- Added comprehensive performance metrics recording for dataset reads and writes.
feat: Localize historical plot management components
- Integrated i18n support in PlotHistoricalManager, PlotHistoricalSession, and TimePointSelector components.
- Translated various UI strings related to historical plots, time selection, and console logs into English, Spanish, and Italian.
- Improved user experience by providing localized messages for actions and statuses.
fix: Update system state configuration
- Changed `should_connect` to true and added active datasets to the system state.
- Updated the last update timestamp and specified the path for PlotJuggler.
- Changed sampling interval for "Fast" dataset from 0.1 to 0.5 seconds.
- Updated variable definitions for "Fast" dataset, including renaming and modifying properties for AUX Blink and M50 variables.
- Adjusted plot definitions to reduce time window from 36 to 10 seconds.
- Enhanced plot variables to ensure correct labeling and enablement of variables.
- Increased inter-read delay in PLCClient for improved stability and added batch reading functionality to optimize variable reads.
- Implemented asynchronous CSV writing system in DataStreamer to reduce I/O operations and improve performance.
- Updated ChartjsPlot component to modify refresh rates for real-time data handling.
- Adjusted system state to disable automatic connection and clear active datasets.
- 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 `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.
- 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 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.
- 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