- Added CsvViewer component to display CSV data with pagination support.
- Integrated API call to fetch CSV data with pagination.
- Enhanced user experience with sticky headers and improved scrolling.
- Implemented search functionality to filter displayed data.
- Added export feature to download current page data as CSV.
- Updated CsvFileBrowser to include a button for viewing CSV files.
- Improved UI with responsive design and better styling for controls.
- Fixed scrolling issues by reverting to traditional Chakra UI table syntax.
- Updated system state to reflect changes in connection settings.
- Updated PLCClient to retrieve and report actual CPU cycle time using SZL methods.
- Renamed `cycle_time_ms` to `comm_time_ms` to clarify that it represents communication latency.
- Added detailed cycle time statistics (current, min, max) to the PLC status response.
- Modified Dashboard component to display new cycle time information alongside communication time.
- Documented the new implementation and troubleshooting steps for SZL access in the CPU Cycle Time Implementation Guide.
- Enhanced handleRefresh to process dataset variables more efficiently.
- Updated useEffect hooks to manage initial loading and refresh triggers separately.
- Removed auto-refresh on focus to streamline user experience.
- Adjusted loading state display logic to only show during initial load.
- Improved StatusBar component layout and responsiveness with flex properties.
- Ensured consistent minimum heights for card elements to enhance UI stability.
- Simplified conditional rendering for performance data and error states.
- Updated plot definition for DAR_Brix to disable stacking and increase time window from 60 to 120 seconds.
- Changed variable name from "Blink" to "HMI_Instrument.CTS306.PVFiltered" in plot variables configuration.
- Removed console logs related to pending time changes in PlotHistoricalSession component for cleaner code.
- Enhanced VariableSelectorWidget with debug options and improved SSE connection handling.
- Removed unnecessary debug logs from various components including Tooltip, AllWidgets, and TestWidget.
- Implemented automatic reconnection logic for SSE in useCoordinatedSSE hook.
- Added periodic ping messages in stream_variables function to maintain SSE connection.
- Updated system state to enable connection and include active datasets.
- Added a Popover component to provide information about Backend & Tabs status.
- Improved layout and styling of the System Status section, including connection status indicators.
- Updated PLC connection buttons for better user experience.
- Refactored CPU Status and UDP Streaming cards for consistency and clarity.
- Adjusted performance metrics display with improved loading states and error handling.
- Updated last_update timestamp in system_state.json for accurate tracking.
- Implemented `get_cpu_status` method in PLCClient to fetch current CPU state, cycle time, and additional CPU info.
- Created a new API endpoint `/api/plc/status` to serve CPU status data.
- Updated frontend to load and display CPU status in the Dashboard, including state and cycle time.
- Added error handling for CPU status retrieval in the frontend.
- Updated plot_variables.json to include new variables with proper configurations.
- Modified ConfigManager to ensure expanded and fallback variables retain their names.
- Improved VariableSelectorWidget to handle undefined properties gracefully, displaying 'UNKNOWN' or 'N/A' where applicable.
- Refactored main.py to utilize the proper expansion method for symbolic variables when retrieving dataset variables.
- Updated system_state.json with the latest timestamp for last_update.
- Updated backend manager status with new timestamps and process IDs.
- Modified dataset variables JSON to ensure consistent configuration types and added a new symbolic variable.
- Enhanced dataset variables schema to enforce configuration type and prevent additional properties.
- Adjusted UI schema for dataset variables to improve layout and visibility of fields.
- Refactored config manager to handle expanded dataset variables for PLC communication.
- Updated PLC data streamer and core streamer to utilize expanded dataset variables.
- Simplified DatasetVariableSymbolWidget and SymbolSelectorWidget components, improving toast notifications and layout.
- Removed unnecessary symbol expansion logic from Dashboard component.
- Updated system state JSON with new last update timestamp and added PlotJuggler path.
- Removed the range display box from PlotHistoricalSession for a cleaner layout.
- Updated TimePointSelector to support fullscreen mode with a more compact design.
- Integrated a Popover for date and time selection in fullscreen mode.
- Enhanced the DataAvailabilityBar and slider functionality for better user experience.
- Added responsive styling adjustments for both normal and fullscreen modes.
- Updated system state with the latest last_update timestamp.
- Updated LayoutObjectFieldTemplate to ensure consistent alignment of grid items with a minimum height and flex properties.
- Improved TooltipFieldTemplate to center-align switch and checkbox widgets, enhancing overall layout consistency.
- Refined CheckboxWidget and SwitchWidget styles for better alignment and text handling, ensuring labels do not overflow and maintain a single line.
- Integrated TooltipFieldTemplate into PlotHistoricalManager, PlotManager, and Dashboard components to provide contextual tooltips for form fields.
- Updated templates in various forms to include the new TooltipFieldTemplate alongside the existing LayoutObjectFieldTemplate.
- Enhanced TooltipFieldTemplate with theme-aware colors and improved styling for better readability.
- Adjusted system state to enable connection and updated the last update timestamp.
- Implemented test client for Playwright MCP Server in `test-server.js`
- Created global automation script for Playwright MCP-like functionality in `playwright-mcp-global.js`
- Configured Playwright settings in `playwright.config.js`
- Added quick start script for testing setup in `quick-start.sh`
- Developed initial setup script for Playwright MCP configuration in `setup.js`
- Created basic connectivity and configuration tests in `tests/basic.spec.js` and `tests/configuration.spec.js`
- Implemented dashboard and plotting tests in `tests/dashboard.spec.js` and `tests/plotting.spec.js`
- Added data streaming feature tests in `tests/streaming.spec.js`
- Changed records_directory in plc_config.json to an absolute path.
- Enhanced plc.schema.json to allow absolute and relative paths for records_directory and symbols_path with path-browser widget.
- Updated ui schema to reflect changes in records_directory and symbols_path with appropriate help texts.
- Modified ConfigManager to handle symbols_path in PLC configuration updates.
- Added functionality in PLCDataStreamer and schema_manager to manage symbols_path.
- Implemented Load Symbols button in PLCConfigManager and Dashboard components to load symbols from ASC files.
- Created new PathBrowserWidget for browsing files and directories, supporting both absolute and relative paths.
- Added SimpleFilePathWidget for simplified file path selection.
- Introduced DirectoryBrowserWidget for directory selection.
- Updated main.py to handle loading symbols from ASC files and browsing directories.
- Changed memory area identifiers in dataset_variables.json and related schemas from lowercase to uppercase (e.g., "db" to "DB").
- Added new plot definition for "CTS306 Conductivimeter" in plot_definitions.json.
- Updated plot_variables.json to include new variables for "HMI_Instrument.QTM306.PVFiltered" and "HMI_Instrument.QTM307.PVFiltered".
- Enhanced dataset-variables.schema.json to enforce required fields based on area and type.
- Improved ui schema for dataset variables to provide clearer guidance on field usage.
- Updated PLC client to utilize new snap7.type module and improved error handling.
- Added support for new data types (DWORD) in PlcDataTypeWidget.
- Updated Dashboard.jsx to reflect changes in memory area identifiers and improve default configurations.
- Upgraded python-snap7 dependency to version 2.0.2 for enhanced functionality.
- Modified system_state.json to reflect changes in connection status and last update timestamp.
- Implemented optimized batch reading logic in optimized_batch_reader.py to support new area mappings.
- Added VSCode configuration files for improved development experience.
- Introduced ConditionalObjectFieldTemplate.jsx for dynamic field visibility based on PLC-specific logic.
- Updated dataset definitions in `dataset_definitions.json` to change prefix for DAR and removed unused datasets.
- Modified dataset variables in `dataset_variables.json` to update variable names and added a new variable for CTS306_PEW.
- Simplified plot definitions in `plot_definitions.json` by removing old plots and updating the DAR plot configuration.
- Enhanced `main.py` to include system tray functionality using pystray, allowing users to manage the application from the tray.
- Updated `requirements.txt` to include dependencies for system tray support.
- Adjusted `system_state.json` to reflect changes in active datasets and removed references to obsolete datasets.
- Changed the default time window in plot_definitions.json from 37 to 20 seconds.
- Updated the PlotRealtimeSession component to reflect the new default time window of 10 seconds instead of 60 seconds in multiple instances.
- Modified the time window input field to have a placeholder of 10 and adjusted the parsing logic to handle empty values.
- Updated system_state.json to reflect the latest timestamp and reordered active datasets.
- Added application_events.json to log significant application events, including application startup and CSV recording status.
- Created a new system_state.json file to track the last state of the application with relevant flags and timestamps.
- 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.
- Implemented a new method `_get_disk_usage_safe` in `PLCDataStreamer` to safely retrieve disk usage information using `psutil` and `shutil` with fallbacks for different scenarios.
- Updated the disk usage calculation logic to handle potential errors and log warnings when disk usage retrieval fails.
- Modified the `system_state.json` to reorder active datasets and add a new `plotjuggler_path` entry.
- Added a comprehensive test script `test_disk_space.py` to validate the disk space calculation functionality via the API.
- Modified backend_manager.status to reflect updated timestamps and status.
- Refactored backmanager.py for improved readability and consistency in logging.
- Enhanced instance_manager.py to ensure robust backend instance checks and process management.
- Updated main.py to streamline backend instance verification and improve error handling.
- Adjusted main.spec to consolidate analysis for the main application and backend manager.
- Added a new spec file for comprehensive build configuration.
- Updated system_state.json with new timestamps and dataset order.
- Improved rotating_logger.py to enhance log file cleanup messages.
- Added backmanager.py to monitor backend health and restart if necessary.
- Introduced backend_manager.status to track the state of the backend.
- Updated system_state.json to reflect changes in active datasets.
- Modified rotating_logger.py for improved log messages.
- Enhanced main.spec to support separate executables for main application and backend manager.
- Created backmanager.spec and backmanager_config.json for backend manager configuration.
- Added build_all.bat for streamlined build process.
- Added InstanceManager class for managing backend instances.
- Introduced double HTTP health checks with configurable intervals.
- Implemented PID-based verification and cleanup of stale processes.
- Enhanced instance initialization and cleanup processes.
- Updated main.py to utilize the new instance management system.
- Modified system_state.json to reflect changes in active datasets and last update timestamp.
- Deleted legacy route handling in main_cleanup_notes.py.
- Updated system_state.json to reorder active datasets and add PlotJuggler path.
- Removed outdated DB1001 specific value verification test (test_db1001_specific_values.py).
- Removed PlotJuggler path detection test (test_plotjuggler_search.py).
- Removed system_state.json path handling test (test_system_state_paths.py).
- Added new tests for PlotJuggler and system state path handling in .tests directory.
- Introduced a comprehensive user guide for the frontend dashboard tabs in help.md.
- Implemented `test_simple_read_multi_vars.py` to validate read_multi_vars functionality with detailed logging and error handling.
- Created `test_snap7v2_comprehensive.py` for extensive testing of snap7 v2, covering various PLC variable types, performance comparisons, data consistency checks, and stress testing.
- Integrated existing backend components and optimized reading methods, with comprehensive reporting and logging features.
- 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.
- Introduced `test_optimized_reader.py` to validate the functionality and configuration of `OptimizedBatchReader`.
- Created `test_pe_pa_fixed.py` to test the corrected PE/PA reading functionality using appropriate Snap7 area codes.
- Developed `test_real_plc.py` to assess the performance of optimized batch reading against legacy methods with actual PLC configurations.
- Implemented `test_simple_validation.py` for a final validation of core functionalities, ensuring correct implementation of PE/PA area codes and batch reading.
- 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.
- Added OptimizedBatchReader class to handle batch reading of PLC variables using snap7's read_multi_vars function.
- Introduced automatic chunking to respect S7 PDU limits, allowing for efficient handling of large variable lists.
- Replaced the existing read_variables_batch method in PLCClient with the new optimized implementation.
- Updated system_state.json to reflect the latest last_update timestamp.
- Removed commented-out code related to the previous batch reading method.
- 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.
- 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.
Miguel