- 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.
- 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- Removed outdated DB1001 specific value verification test (test_db1001_specific_values.py).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.
- 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.
Miguel