✨ feat(data_processing.py): add function to calculate morphological indicators from discrete data
The variable name teta_diffs was changed to theta_diffs to improve semantics. A new function was added to calculate morphological indicators from discrete data. The function calculates Tortuosity, Volume, Surface, Mean radius, Standard deviation of radius, Sigma r tot, MI_l, and MI_p.
🔥 refactor(input.py): remove unused result_file_path parameter from ScannedObject constructor and from_xyz_file method
✨ feat(input.py): add encoding parameter to open method in from_obj_file and from_xyz_file methods
The result_file_path parameter was not being used in the ScannedObject constructor and from_xyz_file method, so it was removed to simplify the code. The encoding parameter was added to the open method in the from_obj_file and from_xyz_file methods to ensure that the files are opened with the correct encoding.
🐛 fix(output.py): add utf-8 encoding when writing to output file
✨ feat(output.py): remove unused import and function argument, improve code readability
The fix adds the utf-8 encoding when writing to the output file to avoid encoding issues. The feat removes the unused import and function argument to improve code readability. The function format_data now only takes the necessary arguments and the unused import is removed.
🐛 fix(main_window.py): fix typo in function name
✨ feat(main_window.py): add persistence to pre-processed data
The fix corrects a typo in the function name get_true_theta_from_x_y. The feat adds persistence to the pre-processed data by storing the raw data, discrete data, and advanced data in the main window. This avoids re-computation of the data when switching between tabs.
🎨 style(MainWindow.ui): add export_advanced_metrics button to the UI
🎨 style(UI_MainWindow.py): add export_advanced_metrics button to the UI
🎨 style(ressources_rc.py): update the resource file
🐛 fix(data_extraction.py): fix typo in function name get_mean_teta to get_mean_theta
The changes add a new button to the UI named "export_advanced_metrics" which allows the user to export variables. The resource file is updated to reflect the changes. The typo in the function name get_mean_teta is fixed to get_mean_theta.
🚀 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
