Djalim Simaila
16f43c2126
✨ feat(MainWindow.py): add functionality to export advanced data to a text file 🚀 feat(MainWindow.py): add button to export advanced data to a text file 🚀 feat(MainWindow.ui): update labels for Volume and Surface to include units The keys in the dict returned by the get_advanced_data function were updated to be more descriptive. The export_advanced_data function was added to the MainWindow class to allow the user to export the advanced data to a text file. A button was added to the GUI to allow the user to export the advanced data. The labels for Volume and Surface were updated to include the units of measurement. 🎨 style(UI_MainWindow.py): rename tab_5 to parameters and tab_6 to values for better semantics The names of the tabs have been changed to better reflect their contents. The tab previously named tab_5 is now named parameters, and the tab previously named tab_6 is now named values. This improves the readability and maintainability of the code. 🎨 style(UI_MainWindow.py): rename tab_6 to values and tab to graph_pane_1, tab_2 to graph_pane_2, tab_3 to graph_pane_3, and tab_4 to graph_pane_4 for better semantics This commit only renames the tabs in the UI_MainWindow.py file to improve the semantics of the code. The tab_6 is renamed to values, and tab, tab_2, tab_3, and tab_4 are renamed to graph_pane_1, graph_pane_2, graph_pane_3, and graph_pane_4, respectively. 🔨 refactor(UI_MainWindow.py): update labels for volume and surface to include units The labels for volume and surface have been updated to include the units of measurement in millimeters. The tab names for the settings and graph panes have also been updated to improve readability and consistency with the naming conventions. 🔨 refactor(AdvancedDataWorker.py): update keys in the dict returned by the function to be more explicit 🔨 refactor(position_manipulation.py): remove unnecessary computation of the center of gravity in the verticalise function The keys in the dict returned by the AdvancedDataWorker function have been updated to be more explicit. The keys 'Volume' and 'Surface' have been updated to 'Volume en mm3' and 'Surface en mm2' respectively to indicate the units of measurement. In the position_manipulation.py file, the computation of the center of gravity in the verticalise function was unnecessary and has been removed to improve performance.
577 lines
26 KiB
Python
577 lines
26 KiB
Python
"""
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Created on Mon Apr 24 2023
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@name: MainWindow.py
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@desc: Main window of the application
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@auth: Djalim Simaila
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@e-mail: djalim.simaila@inrae.fr
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"""
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import os
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from PyQt5 import QtWidgets
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from PyQt5.QtCore import QThread
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from PyQt5.QtWidgets import QFileDialog, QWidget
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from utils.files.input import ScannedObject
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from utils.files.output import format_data, save_output_file
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from utils.gui.pyqt.main_window.Workers.AdvancedDataWorker import AdvancedDataWorker
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from utils.gui.pyqt.settings.Settings import Settings
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from utils.gui.pyqt.about.AboutThis import AboutThis
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from utils.math.data_extraction import get_mean, get_radius_from_x_y, get_true_theta_from_x_y
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from utils.settings.SettingManager import SettingManager
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from utils.graph2D.visplot_render import cross_section, render2D
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from utils.graph3D.visplot_render import render3D
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from utils.gui.pyqt.main_window.UI_MainWindow import Ui_MainWindow
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from utils.gui.pyqt.main_window.Workers.DiscreteDataWorker import DiscreteDataProcessWorker
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from utils.gui.pyqt.main_window.Workers.PreProcessWorker import PreProcessWorker
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from utils.gui.pyqt.main_window.Workers.RawDataWorker import RawDataProcessWorker
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from utils.gui.pyqt.error_popup.ErrorPopup import ErrorPopup
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class MainWindow(QtWidgets.QMainWindow, Ui_MainWindow):
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"""
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Main window of the application, it contains all the UI elements
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"""
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def __init__(self, parent=None):
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super(MainWindow, self).__init__(parent)
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# Persist variable to avoid re-computation
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self.obj = None
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self.raw_data= None
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self.discrete_data = None
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self.advanced_data = None
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# Retrieve the UI
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self.setupUi(self)
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# Setup buttons listeners
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self.start_analyse_button.clicked.connect(self.start_preprocess)
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self.input_file_choose_btn.clicked.connect(self.select_file)
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self.output_folder_choose_btn.clicked.connect(self.select_folder)
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self.show_graph_checkbox.stateChanged.connect(self.toggle_graphs)
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self.actionOuvrir_un_fichier.triggered.connect(self.select_file)
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self.actionSauvegarder_le_model_redress.triggered.connect(self.save_model)
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self.actionPr_f_rennces.triggered.connect(self.show_settings)
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self.actionQuitter.triggered.connect(self.close)
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self.actionQ_propos_de_ce_logiciel.triggered.connect(self.show_about)
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self.export_advanced_metrics.clicked.connect(self.export_advanced_data)
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# add default layer combobox value and setup the listenerr when index change
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self.layer_ComboBox.addItems(['Aucune couche'])
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self.layer_ComboBox.currentIndexChanged.connect(self.layer_changed)
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# Prepare available graph type list for the slots combobox
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self.graph_type = [
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"Aucun",
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"Mesh3D",
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"Coupe XZ",
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"Coupe YZ",
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"Evolution du rayon moyen",
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"Difference entre le rayon moyen et la moyenne des rayons",
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"Coupe de la couche",
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"Difference entre le rayon de chaque points et le rayon moyen de la couche"
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]
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# put all slots combo boxes in a list for conveniance
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self.combo_boxes = [
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self.slot0ComboBox,
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self.slot1ComboBox,
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self.slot2ComboBox,
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self.slot3ComboBox,
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self.slot4ComboBox,
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self.slot5ComboBox,
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self.slot6ComboBox,
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self.slot7ComboBox,
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self.slot8ComboBox,
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self.slot9ComboBox,
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self.slot10ComboBox
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]
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# Setup all combo boxes with values and listener
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for combo_box in self.combo_boxes:
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combo_box.addItems(self.graph_type)
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combo_box.currentIndexChanged.connect(self.graph_type_changed)
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# put all slots in a list for conveniance and store their state in a string
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self.slots = [
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[self.slot0,"Aucun"],
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[self.slot1,"Aucun"],
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[self.slot2,"Aucun"],
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[self.slot3,"Aucun"],
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[self.slot4,"Aucun"],
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[self.slot5,"Aucun"],
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[self.slot6,"Aucun"],
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[self.slot7,"Aucun"],
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[self.slot8,"Aucun"],
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[self.slot9,"Aucun"],
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[self.slot10,"Aucun"]
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]
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# Retrieve the slot previous value from the settings
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for slot_nb,slot in enumerate(self.slots):
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slot[1] = SettingManager.get_instance().get_last_graph(slot_nb)
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self.combo_boxes[slot_nb].setCurrentText(slot[1])
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# Graph number indicator
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self.graph_nb =0
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self.graph_type_changed()
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# Construct sub windows
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self.settings_window = Settings()
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self.about_window = AboutThis()
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# Variable to check if parametters has changed to avoid re-computation
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self.has_changed = True
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self.old_discretisation_value = None
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# Task counter and task number, used to know when the analysis
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# is considered finished
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# Current tasks are
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# - process raw data
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# - process discrete data
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# - process morphological indicators (advanced data)
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self.completed_tasks = 0
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self.total_tasks = 3
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###############################################################################
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# #
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# #
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# Input/Setting Management #
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# #
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# #
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###############################################################################
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def select_file(self):
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"""
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Open a file dialog to select the input file,
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if the folder_path is empty, it fills it with the files folder.
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"""
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file = QFileDialog.getOpenFileName()[0]
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self.input_file_path.setPlainText(file)
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self.output_file_prefix.setText(os.path.splitext(os.path.basename(file))[0])
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if self.output_folder_path.toPlainText() is None or self.output_folder_path.toPlainText() == "":
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self.output_folder_path.setPlainText(os.path.dirname(file))
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self.has_changed = True
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def select_folder(self):
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"""
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Open a file dialog to select the output folder
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"""
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self.output_folder_path.setPlainText(QFileDialog.getExistingDirectory())
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self.has_changed = True
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def check_input_file(self):
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"""
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Check if the input file is valid by checking:
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- if it exists
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- if its extension is .obj
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"""
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if not os.path.isfile(self.input_file_path.toPlainText()) :
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ErrorPopup("Fichier d'entrée invalide: Aucun fichier selectionné, ou le fichier n'existe pas",
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button_label="Choisir un fichier d'entrée",
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button_callback=self.select_file).show_popup()
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return False
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if os.path.splitext(self.input_file_path.toPlainText())[1].lower() != ".obj":
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ErrorPopup("Fichier d'entrée invalide: l'extension du fichier est incorrecte ",
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button_label="Choisir un fichier d'entrée",
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button_callback=self.select_file).show_popup()
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return False
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return True
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def check_output_folder(self):
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"""
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Check if the output folder is valid by cheking if it exists.
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"""
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if not os.path.isdir(self.output_folder_path.toPlainText()):
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ErrorPopup("Dossier de sortie invalide",
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button_label="Choisir un dossier de sortie",
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button_callback=self.select_folder).show_popup()
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return False
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return True
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###############################################################################
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# #
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# #
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# Data Processing #
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# #
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# #
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###############################################################################
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def start_preprocess(self):
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"""
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Start the analyse, create the thread and connect the signals.
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"""
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if not self.check_input_file():
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return
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if not self.check_output_folder():
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return
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self.clear_graphs()
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self.completed_tasks = 0
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if not self.has_changed and self.old_discretisation_value == self.discretisation_value_selector.value():
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self.completed_tasks = self.total_tasks -1
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self.finish_analyse()
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return
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self.has_changed = False
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self.old_discretisation_value = self.discretisation_value_selector.value()
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# Create the thread to run the analyse
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self.preprocess_thread = QThread()
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self.preprocess_worker = PreProcessWorker("PreProcessWorker",
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self.input_file_path.toPlainText(),
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self.discretisation_value_selector.value())
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self.preprocess_worker.moveToThread(self.preprocess_thread)
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# Connect the signals
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# Start
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self.preprocess_thread.started.connect(self.preprocess_worker.run)
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# Progress
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self.preprocess_worker.status.connect(self.set_status)
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self.preprocess_worker.progress.connect(self.update_progress_bar)
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self.preprocess_worker.processed_obj.connect(self.set_obj)
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self.preprocess_worker.processed_obj.connect(self.process_raw_data)
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self.preprocess_worker.processed_obj.connect(self.process_discrete_data)
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# Finished
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self.preprocess_worker.finished.connect(self.preprocess_thread.quit)
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self.preprocess_worker.finished.connect(self.preprocess_worker.deleteLater)
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self.preprocess_thread.finished.connect(self.preprocess_thread.deleteLater)
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# Start the thread
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self.preprocess_thread.start()
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self.start_analyse_button.setEnabled(False)
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def process_raw_data(self, obj:ScannedObject):
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"""
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Start the analyse, create the thread and connect the signals.
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"""
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self.processrawdata_thread = QThread()
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self.processraw_worker = RawDataProcessWorker("RawDataProcessWorker",
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obj,
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self.output_folder_path.toPlainText(),
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self.output_file_prefix.text(),
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self.discretisation_value_selector.value())
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self.processraw_worker.moveToThread(self.processrawdata_thread)
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# Connect the signals
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# Start
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self.processrawdata_thread.started.connect(self.processraw_worker.run)
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# Progress
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self.processraw_worker.status.connect(self.set_status)
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self.processraw_worker.progress.connect(self.update_progress_bar)
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self.processraw_worker.processedData.connect(self.set_raw_data)
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# Finished
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self.processraw_worker.finished.connect(self.finish_analyse)
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self.processraw_worker.finished.connect(self.processrawdata_thread.quit)
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self.processraw_worker.finished.connect(self.processraw_worker.deleteLater)
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self.processrawdata_thread.finished.connect(self.processrawdata_thread.deleteLater)
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# Start the thread
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self.processrawdata_thread.start()
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def process_discrete_data(self, obj:ScannedObject):
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"""
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Start the analyse, create the thread and connect the signals.
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"""
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self.processdiscrete_thread = QThread()
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self.processdiscrete_worker = DiscreteDataProcessWorker("DiscreteDataProcessWorker",
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obj,
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self.output_folder_path.toPlainText(),
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self.output_file_prefix.text(),
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self.discretisation_value_selector.value())
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self.processdiscrete_worker.moveToThread(self.processdiscrete_thread)
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# Connect the signals
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# Start
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self.processdiscrete_thread.started.connect(self.processdiscrete_worker.run)
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# Progress
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self.processdiscrete_worker.status.connect(self.set_status)
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self.processdiscrete_worker.progress.connect(self.update_progress_bar)
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self.processdiscrete_worker.processedData.connect(self.set_discrete_data)
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self.processdiscrete_worker.processedData.connect(self.process_advanced_data)
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# Finished
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self.processdiscrete_worker.finished.connect(self.finish_analyse)
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self.processdiscrete_worker.finished.connect(self.processdiscrete_thread.quit)
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self.processdiscrete_worker.finished.connect(self.processdiscrete_worker.deleteLater)
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self.processdiscrete_thread.finished.connect(self.processdiscrete_thread.deleteLater)
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# Start the thread
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self.processdiscrete_thread.start()
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def process_advanced_data(self, discrete_data:dict):
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"""
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Start the analyse, create the thread and connect the signals.
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"""
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self.advanced_data_thread = QThread()
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self.advanced_data_worker = AdvancedDataWorker("AdvancedDataProcessWorker",
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discrete_data)
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self.advanced_data_worker.moveToThread(self.advanced_data_thread)
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# Connect the signals
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# Start
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self.advanced_data_thread.started.connect(self.advanced_data_worker.run)
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# Progress
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self.advanced_data_worker.status.connect(self.set_status)
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self.advanced_data_worker.progress.connect(self.update_progress_bar)
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self.advanced_data_worker.processedData.connect(self.set_advanced_data)
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# Finished
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self.advanced_data_worker.finished.connect(self.finish_analyse)
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self.advanced_data_worker.finished.connect(self.advanced_data_thread.quit)
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self.advanced_data_worker.finished.connect(self.advanced_data_worker.deleteLater)
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self.advanced_data_thread.finished.connect(self.advanced_data_thread.deleteLater)
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# Start the thread
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self.advanced_data_thread.start()
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def set_obj(self,obj:ScannedObject):
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"""
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Persists the pre-processed obj
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"""
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self.obj = obj
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def set_discrete_data(self,discrete_data:dict):
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"""
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Persists the calculated discrete data
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"""
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self.discrete_data = discrete_data
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layer = [str(i) for i in range(len(discrete_data["X moy (en mm)"]))]
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layer.insert(0,"Aucune couche")
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self.layer_ComboBox.currentIndexChanged.disconnect(self.layer_changed)
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self.layer_ComboBox.clear()
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self.layer_ComboBox.addItems(layer)
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self.layer_ComboBox.currentIndexChanged.connect(self.layer_changed)
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def set_raw_data(self,raw_data:dict):
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"""
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Persists the calculated raw data
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"""
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self.raw_data = raw_data
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def set_advanced_data(self,advanced_data:dict):
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"""
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Persists the calculated raw data and show the values
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"""
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self.advanced_data = advanced_data
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self.tortuosity.setValue(advanced_data["Tortuosité"])
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self.volume.setValue(advanced_data["Volume en mm3"])
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self.surface.setValue(advanced_data["Surface en mm2"])
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self.mean_r_mean.setValue(advanced_data["Moyenne des rayons moyens"])
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self.sigma_r_mean.setValue(advanced_data["Ecart-type des rayons moyens"])
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self.sigma_r_tot.setValue(advanced_data["Sigma r tot"])
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self.MI_l.setValue(advanced_data["MI_l"])
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self.MI_p.setValue(advanced_data["MI_p"])
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def export_advanced_data(self):
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"""
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Export the advanced data to a file
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"""
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if self.advanced_data is None:
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ErrorPopup("Aucune analyse effectuée. Aucune donnée à exporter").show_popup()
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return
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file_path = QFileDialog.getSaveFileName(self,
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"Exporter les indicateurs morphologiques",
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"./",
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"Fichier texte (*.txt)")
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advanced_data = {key : [round(value,6),] for key,value in self.advanced_data.items()}
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string_data = format_data(advanced_data,"\t")
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save_output_file(file_path[0],string_data)
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def save_model(self):
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"""
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Save the model to a file
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"""
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if self.obj is None:
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ErrorPopup("Aucune analyse effectuée. Aucun modèle à sauvegarder").show_popup()
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return
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file_path = QFileDialog.getSaveFileName(self,
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"Sauvegarder le modèle",
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"./",
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"Fichier OBJ (*.obj)")
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self.obj.export_obj(file_path[0])
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###############################################################################
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# #
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# #
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# Graphs management #
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# #
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# #
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###############################################################################
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def toggle_graphs(self):
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"""
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Show or hide the graphs
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"""
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if self.show_graph_checkbox.isChecked():
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self.Graphs.show()
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else:
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self.Graphs.hide()
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def renderGraphs(self,obj:ScannedObject,raw_data:dict,discrete_data:dict):
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"""
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Render the graphs
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:param obj: The scanned object
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:param raw_data: The raw data
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:param discrete_data: The discrete data
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"""
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if not self.show_graph_checkbox.isChecked():
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return
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self.set_status("Rendering graphs... this may take a moment")
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for slot in self.slots:
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current_slot = slot[0]
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graph_type = slot[1]
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if graph_type == "Mesh3D":
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current_slot.addWidget(render3D(obj,False).native)
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if graph_type == "Coupe XZ":
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current_slot.addWidget(cross_section(obj.get_x(),
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obj.get_z(),
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"Coupe XZ",
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"X (en mm)",
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"Z (en mm)",
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False).native)
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if graph_type == "Coupe YZ":
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current_slot.addWidget(cross_section(obj.get_y(),
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obj.get_z(),
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"Coupe YZ",
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"Y (en mm)",
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"Z (en mm)",
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False).native)
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if graph_type == "Evolution du rayon moyen":
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current_slot.addWidget(render2D(list(zip(discrete_data['Rayon moyen (en mm)'],discrete_data['Z moy (en mm)'])),
|
|
"Evolution du rayon moyen en fonction de Z",
|
|
"Rayon moyen (en mm)",
|
|
"Z (en mm)",
|
|
False).native)
|
|
if graph_type == "Difference entre le rayon moyen et la moyenne des rayons":
|
|
r_mean= get_mean(discrete_data['Rayon moyen (en mm)'])
|
|
current_slot.addWidget(render2D(list(zip(discrete_data['Rayon moyen (en mm)']-r_mean,discrete_data['Z moy (en mm)'])),
|
|
"Difference entre le rayon moyen et la moyenne en fonction de Z",
|
|
"Rayon moyen (en mm)",
|
|
"Z (en mm)",
|
|
False).native)
|
|
self.set_status("Graphs rendered!")
|
|
|
|
def renderDiscreteGraphs(self,obj:ScannedObject,raw_data:dict,discrete_data:dict):
|
|
"""
|
|
"""
|
|
if self.layer_ComboBox.currentText() == 'Aucune couche':
|
|
return
|
|
layer_nb = int(self.layer_ComboBox.currentText())
|
|
discretisation_value = self.discretisation_value_selector.value()
|
|
|
|
self.interval_size.setValue(self.discrete_data["Discretisation(en mm)"][layer_nb])
|
|
self.x_mean.setValue(self.discrete_data["X moy (en mm)"][layer_nb])
|
|
self.y_mean.setValue(self.discrete_data["Y moy (en mm)"][layer_nb])
|
|
self.z_mean.setValue(self.discrete_data["Z moy (en mm)"][layer_nb])
|
|
self.r_mean.setValue(self.discrete_data["Rayon moyen (en mm)"][layer_nb])
|
|
self.sigma_r.setValue(self.discrete_data["Rayon ecart type (en mm)"][layer_nb])
|
|
|
|
if not self.show_graph_checkbox.isChecked():
|
|
return
|
|
self.set_status("Renderingc discretes graphs... this may take a moment")
|
|
for slot in self.slots:
|
|
current_slot = slot[0]
|
|
graph_type = slot[1]
|
|
if graph_type == "Coupe de la couche":
|
|
self.clear_slot(current_slot)
|
|
vertices = obj.get_discrete_vertices(discretisation_value)[layer_nb]
|
|
current_slot.addWidget(cross_section([x for x,y,z in vertices],
|
|
[y for x,y,z in vertices],
|
|
"Coupe de la couche",
|
|
"X en mm",
|
|
"Y en mm",
|
|
False).native)
|
|
if graph_type == "Difference entre le rayon de chaque points et le rayon moyen de la couche":
|
|
self.clear_slot(current_slot)
|
|
vertices = obj.get_discrete_vertices(discretisation_value)[layer_nb]
|
|
x_mean = discrete_data["X moy (en mm)"][layer_nb]
|
|
y_mean = discrete_data["Y moy (en mm)"][layer_nb]
|
|
r_mean = discrete_data["Rayon moyen (en mm)"][layer_nb]
|
|
rs = [get_radius_from_x_y(x,y,x_mean,y_mean) for x,y,z in vertices]
|
|
θs = [get_true_theta_from_x_y(x,y,x_mean,y_mean) for x,y,z in vertices]
|
|
min_θ = min(θs)
|
|
current_slot.addWidget(cross_section([θ-min_θ for θ in θs],
|
|
[r-r_mean for r in rs],
|
|
"Difference entre le rayon de chaque points et le rayon moyen de la couche",
|
|
"Theta en rad",
|
|
"r - <r> en mm",
|
|
False).native)
|
|
self.set_status("Graphs rendered!")
|
|
|
|
def clear_slot(self,slot):
|
|
for i in reversed(range(slot.count())):
|
|
slot.itemAt(i).widget().setParent(None)
|
|
|
|
def clear_graphs(self):
|
|
"""
|
|
Clear the graphs
|
|
"""
|
|
if not self.show_graph_checkbox.isChecked():
|
|
return
|
|
for slot,_ in self.slots:
|
|
self.clear_slot(slot)
|
|
|
|
###############################################################################
|
|
# #
|
|
# #
|
|
# User interface updates #
|
|
# #
|
|
# #
|
|
###############################################################################
|
|
|
|
def finish_analyse(self):
|
|
"""
|
|
Finish the analyse
|
|
"""
|
|
self.completed_tasks += 1
|
|
if self.completed_tasks == self.total_tasks:
|
|
self.status_text.setText("Done")
|
|
self.analyse_progress_bar.setValue(100)
|
|
self.renderGraphs(self.obj,self.raw_data,self.discrete_data)
|
|
self.renderDiscreteGraphs(self.obj,self.raw_data,self.discrete_data)
|
|
self.start_analyse_button.setEnabled(True)
|
|
self.SettingsTab.setCurrentIndex(1)
|
|
|
|
def update_progress_bar(self, value):
|
|
"""
|
|
Update the progress bar
|
|
"""
|
|
self.analyse_progress_bar.setValue(value)
|
|
|
|
def set_status(self, status:str):
|
|
"""
|
|
Set the status of the analyse
|
|
"""
|
|
self.status_text.setText(status)
|
|
|
|
def show_settings(self):
|
|
"""
|
|
Show the settings window
|
|
"""
|
|
self.settings_window.show()
|
|
|
|
def show_about(self):
|
|
"""
|
|
Show the about window
|
|
"""
|
|
self.about_window.show()
|
|
|
|
def graph_type_changed(self):
|
|
"""
|
|
Update the number of graphs
|
|
"""
|
|
self.graph_nb = 0
|
|
for combo_box in self.combo_boxes:
|
|
if combo_box.currentIndex() != 0:
|
|
self.graph_nb += 1
|
|
self.graph_nb_spinbox.setValue(self.graph_nb)
|
|
|
|
settings = SettingManager.get_instance()
|
|
for count,_ in enumerate(self.slots):
|
|
self.slots[count][1] = self.combo_boxes[count].currentText()
|
|
settings.set_last_graph(count,self.slots[count][1])
|
|
|
|
if self.obj is None or self.discrete_data is None or self.raw_data is None:
|
|
return
|
|
else:
|
|
self.clear_graphs()
|
|
self.renderGraphs(self.obj,self.raw_data,self.discrete_data)
|
|
self.renderDiscreteGraphs(self.obj,self.raw_data,self.discrete_data)
|
|
|
|
def layer_changed(self):
|
|
if self.obj is None or self.discrete_data is None or self.raw_data is None:
|
|
return
|
|
else:
|
|
self.renderDiscreteGraphs(self.obj,self.raw_data,self.discrete_data) |