🐛 fix(RawDataWorker.py): fix typo in theta key name in the output dict
✨ feat(RawDataWorker.py): save the result of the calculation in a file located in the output_path
The run method now has a docstring that explains what it does. The typo in the theta key name in the output dict has been fixed. The result of the calculation is now saved in a file located in the output_path. This improves the functionality of the RawDataWorker class.
🚀 feat(MainWindow.py): add support for calculating advanced data in a separate thread
🚀 feat(AdvancedDataWorker.py): add worker to calculate advanced data in a thread
The `get_advanced_data` function was added to calculate advanced data from the discrete data. The `process_advanced_data` function was added to the `MainWindow` class to start a thread to calculate the advanced data. The `AdvancedDataWorker` class was added to calculate the advanced data in a separate thread. This allows the application to be more responsive and not freeze while the advanced data is being calculated.
✨ feat(data_processing.py): remove deprecated get_discrete_vertices2 method and rename get_discrete_vertices3 to get_discrete_vertices. Simplify get_discrete_vertices method by removing the selection of the discretisation method from the settings and always using the Z0-Zi < DeltaZ method. This improves code readability and maintainability.
✨ feat(input.py): remove deprecated result_file_path and bruteforce_discretization_result attributes from ScannedObject class. Add old_delta, old_discrete, and old_discrete_type attributes to cache the results of the get_discrete_vertices method. This improves performance by avoiding unnecessary recomputations of the discretized vertices.
✨ feat(MainWindow.py): add support for selecting a layer to display discrete graphs for. Add two new graph types: "Coupe de la couche" and "Difference entre le rayon de chaque points
🔧 fix(ui): change tab index to display the correct tab on startup
✨ feat(ui): add label and combobox to select layer to display
🔧 fix(worker): add discretisation_value parameter to PreProcessWorker constructor
✨ feat(math): add get_true_teta_from_x_y, get_difference_from_mean_value, and get_distance_between_two_vertices functions
The UI fix changes the tab index to display the correct tab on startup. The new label and combobox allow the user to select the layer to display. The worker fix adds a discretisation_value parameter to the PreProcessWorker constructor. The new math functions are get_true_teta_from_x_y, get_difference_from_mean_value, and get_distance_between_two_vertices. These functions are useful for calculating teta, differences from mean values, and distances between vertices.
✨ feat(gui): add an about window to the GUI to display information about the software
The INRAE logo has been added to the GUI as a resource. An about window has been added to the GUI to display information about the software such as the description, authors, and version. The about window can be accessed via the "A propos de ce logiciel" menu item.
✨ feat(MainWindow.py): add functionality to save graph settings when the number of graphs is changed
The bug was caused by the fact that the graph settings were not being saved when the number of graphs was changed. This was fixed by adding code to save the graph settings when the number of graphs is changed. The new functionality allows the user to change the number of graphs and have the graph settings saved.
✨ feat(MainWindow.ui): add a label and a spinbox to display the number of graphs selected
The graph_type_changed method is added to handle changes in the graph type selection. It updates the number of graphs selected and displays it in the newly added spinbox. The label is also added to display the text "Nombre de graphes :".
feat(MainWindow.py): add 'has_changed' and 'old_discretisation_value' variables to track changes in the discretisation value selector and avoid unnecessary computations
fix(MainWindow.py): set status message when rendering graphs to inform the user of the process
