- Implemented ExportWindow class for exporting data and graphs in various formats (JSON, XML, PDF).
- Integrated ExportManager to handle export logic.
- Added export option in the main application menu.
- Enhanced user interface with data summary and export options.
- Included error handling and success messages for export operations.
- Updated dependencies in the lock file to include reportlab and lxml for PDF generation.
- Deleted test scripts for dose tracking, UI functionality, dynamic data, edit functionality, and final workflow.
- Removed the `add_medicine_dose` method from the DataManager class as it is no longer needed.
- Implemented `test_dose_parsing_simple.py` to validate the dose parsing workflow.
- Created `test_dose_save.py` to verify the saving functionality of dose tracking.
- Added `test_dose_save_simple.py` for programmatic testing of dose saving without UI interaction.
- Developed `test_final_workflow.py` to test the complete dose tracking workflow, ensuring doses are preserved during edits.
- Enhanced `conftest.py` with a mock pathology manager for testing.
- Updated `test_data_manager.py` to include pathology manager in DataManager tests and ensure compatibility with new features.
- Implemented MedicineManagementWindow for adding, editing, and removing medicines.
- Created MedicineManager to handle medicine configurations, including loading and saving to JSON.
- Updated UIManager to dynamically generate medicine-related UI components based on the MedicineManager.
- Enhanced test suite with mock objects for MedicineManager to ensure proper functionality in DataManager tests.
- Added validation for medicine input fields in the UI.
- Introduced default medicine configurations for initial setup.
- Fixed dose calculation logic in `_calculate_daily_dose` to correctly parse timestamps with multiple colons.
- Added comprehensive test cases for various dose formats and edge cases in `test_dose_calculation.py`.
- Enhanced graph legend to display individual medicines with average dosages and track medicines without dose data.
- Updated legend styling and positioning for better readability and organization.
- Created new tests for enhanced legend functionality, including handling of medicines with and without data.
- Improved mocking for matplotlib components in tests to prevent TypeErrors.
- Renamed `initialize_csv` to `_initialize_csv_file` in `DataManager` for better clarity.
- Updated method calls in `GraphManager` from `_create_toggle_controls` to `_create_chart_toggles` and `_on_toggle_changed` to `_handle_toggle_changed`.
- Changed method names in `MedTrackerApp` from `on_closing` to `handle_window_closing`, `add_entry` to `add_new_entry`, and `load_data` to `refresh_data_display`.
- Adjusted corresponding test method names in `TestMedTrackerApp` to reflect the new method names.
- Updated `UIManager` method names from `setup_icon` to `setup_application_icon` and adjusted related tests accordingly.
- Implement migration script to add quetiapine and quetiapine_doses columns to existing CSV data.
- Update DataManager to include quetiapine and quetiapine_doses in data handling.
- Modify MedTrackerApp to manage quetiapine entries and doses.
- Enhance UIManager to include quetiapine in the user interface for medication selection and display.
- Update tests to cover new quetiapine functionality, including sample data and DataManager tests.
- Added a new migration script to introduce dose tracking columns in the CSV.
- Updated DataManager to handle new dose tracking columns and methods for adding doses.
- Enhanced MedTrackerApp to support dose entry and display for each medicine.
- Modified UIManager to create a scrollable input frame with dose tracking elements.
- Implemented tests for delete functionality, dose tracking, edit functionality, and scrollable input.
- Updated existing tests to ensure compatibility with the new CSV format and dose tracking features.
