- Updated time_window in plot_definitions.json from 60 to 37 seconds to improve data continuity.
- Compensated for frontend processing delays by adjusting lastPushedX timestamp in ChartjsPlot.jsx.
- Enhanced logging for better visibility into data continuity issues, including filtering and ingestion logs.
- Modified system_state.json to reorder active datasets and updated last_update timestamp.
- Added comprehensive documentation in GAP_FIX_SOLUTION.md detailing the problem, root cause, solution, benefits, and testing procedures.
- Added `use_optimized_reading` parameter to dataset definitions for per-dataset control over reading methods.
- Updated JSON schema and UI schema to include the new parameter with appropriate descriptions and defaults.
- Modified `ConfigManager`, `PLCClient`, and `PLCDataStreamer` to handle the new optimization setting.
- Enhanced batch reading logic to prioritize dataset-specific settings over global configurations.
- Improved logging to indicate which reading method is being used for each dataset.
- Created comprehensive tests to validate the new functionality and ensure backward compatibility.
- Added documentation detailing the new feature, its benefits, and usage examples.
- 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.
- 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.
- Changed the sampling interval for the "Fast" dataset from 1 to 0.1 for finer granularity.
- Adjusted the Chart.js plot configuration by setting the delay to 0 for real-time updates.
- Removed "Test" from the active datasets in the system state and updated the last update timestamp.
- Implemented reusable ImportExportButtons component for handling JSON file import/export across various components.
- Enhanced PlotManager, Dashboard, and DatasetManager to support importing and exporting configurations and variables.
- Added validation for JSON structure during import to ensure data integrity.
- Updated dataset_variables.json to include new variable UR29_max.
- Modified system_state.json to reorder active datasets and update last_update timestamp.
- 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 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.
- Added line tension, stepped lines, point radius, and point hover radius to plot definitions.
- Updated plot variables to include labels for better clarity.
- Modified plot definitions schema to accommodate new visual style properties.
- Enhanced UI schema to support new configuration options in the settings panel.
- Improved ChartjsPlot component to utilize new visual style properties for rendering.
- Implemented refresh functionality for plot configuration in PlotRealtimeSession.
- Updated VariableSelectorWidget to remove unnecessary required attribute.
- Adjusted system state 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.
- 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