spacr.gui_core — spacr 0.5.0 documentation

# Source code for spacr.gui_core

    import os, traceback, ctypes, csv, re, platform
    import tkinter as tk
    from tkinter import ttk
    from tkinter import filedialog
    from multiprocessing import Process, Value, Queue, set_start_method
    from tkinter import ttk
    import matplotlib
    from matplotlib.figure import Figure
    from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
    import numpy as np
    import psutil
    import GPUtil
    from collections import deque
    import tracemalloc

    try:
        ctypes.windll.shcore.SetProcessDpiAwareness(True)
    except AttributeError:
        pass

    from .gui_elements import spacrProgressBar, spacrButton, spacrFrame, spacrDropdownMenu , spacrSlider, set_dark_style

    # Define global variables

    q = None

    console_output = None

    parent_frame = None

    vars_dict = None

    canvas = None

    canvas_widget = None

    scrollable_frame = None

    progress_label = None

    fig_queue = None

    figures = None

    figure_index = None

    progress_bar = None

    usage_bars = None

    index_control = None

    thread_control = {"run_thread": None, "stop_requested": False}

    def toggle_settings(button_scrollable_frame):
        global vars_dict
        from .settings import categories
        from .gui_utils import hide_all_settings
        if vars_dict is None:
            raise ValueError("vars_dict is not initialized.")

        active_categories = set()

        def toggle_category(settings):
            for setting in settings:
                if setting in vars_dict:
                    label, widget, _, frame = vars_dict[setting]
                    if widget.grid_info():
                        label.grid_remove()
                        widget.grid_remove()
                        frame.grid_remove()
                    else:
                        label.grid()
                        widget.grid()
                        frame.grid()

        def on_category_select(selected_category):
            if selected_category == "Select Category":
                return
            if selected_category in categories:
                toggle_category(categories[selected_category])
                if selected_category in active_categories:
                    active_categories.remove(selected_category)
                else:
                    active_categories.add(selected_category)
            category_dropdown.update_styles(active_categories)
            category_var.set("Select Category")

        category_var = tk.StringVar()
        non_empty_categories = [category for category, settings in categories.items() if any(setting in vars_dict for setting in settings)]
        category_dropdown = spacrDropdownMenu(button_scrollable_frame.scrollable_frame, category_var, non_empty_categories, command=on_category_select)
        category_dropdown.grid(row=0, column=4, sticky="ew", pady=2, padx=2)
        vars_dict = hide_all_settings(vars_dict, categories)

    def display_figure(fig):
        global canvas, canvas_widget

        from .gui_elements import save_figure_as_format, modify_figure

        # Apply the dark style to the context menu
        style_out = set_dark_style(ttk.Style())
        bg_color = style_out['bg_color']
        fg_color = style_out['fg_color']

        # Initialize the scale factor for zooming
        scale_factor = 1.0

        # Save the original x and y limits of the first axis (assuming all axes have the same limits)
        original_xlim = [ax.get_xlim() for ax in fig.get_axes()]
        original_ylim = [ax.get_ylim() for ax in fig.get_axes()]

        # Clear previous canvas content
        if canvas:
            canvas.get_tk_widget().destroy()

        # Create a new canvas for the figure
        new_canvas = FigureCanvasTkAgg(fig, master=canvas_widget.master)
        new_canvas.draw()
        new_canvas.get_tk_widget().grid(row=0, column=0, sticky="nsew")

        # Update the global canvas and canvas_widget references
        canvas = new_canvas
        canvas_widget = new_canvas.get_tk_widget()
        canvas_widget.configure(bg=bg_color)

        # Create the context menu
        context_menu = tk.Menu(canvas_widget, tearoff=0, bg=bg_color, fg=fg_color)
        context_menu.add_command(label="Save Figure as PDF", command=lambda: save_figure_as_format(fig, 'pdf'))
        context_menu.add_command(label="Save Figure as PNG", command=lambda: save_figure_as_format(fig, 'png'))
        context_menu.add_command(label="Modify Figure", command=lambda: modify_figure(fig))
        context_menu.add_command(label="Reset Zoom", command=lambda: reset_zoom(fig))  # Add Reset Zoom option

        def reset_zoom(fig):
            global scale_factor
            scale_factor = 1.0  # Reset the scale factor

            for i, ax in enumerate(fig.get_axes()):
                ax.set_xlim(original_xlim[i])
                ax.set_ylim(original_ylim[i])
            fig.canvas.draw_idle()

        def on_right_click(event):
            context_menu.post(event.x_root, event.y_root)

        def on_hover(event):
            widget_width = event.widget.winfo_width()
            x_position = event.x

            if x_position < widget_width / 2:
                canvas_widget.config(cursor="hand2")
            else:
                canvas_widget.config(cursor="hand2")

        def on_leave(event):
            canvas_widget.config(cursor="arrow")

        def flash_feedback(side):
            flash = tk.Toplevel(canvas_widget.master)
            flash.overrideredirect(True)
            flash_width = int(canvas_widget.winfo_width() / 2)
            flash_height = canvas_widget.winfo_height()
            flash.configure(bg='white')
            flash.attributes('-alpha', 0.9)

            if side == "left":
                flash.geometry(f"{flash_width}x{flash_height}+{canvas_widget.winfo_rootx()}+{canvas_widget.winfo_rooty()}")
            else:
                flash.geometry(f"{flash_width}x{flash_height}+{canvas_widget.winfo_rootx() + flash_width}+{canvas_widget.winfo_rooty()}")

            flash.lift()

            # Ensure the flash covers the correct area only
            flash.update_idletasks()
            flash.after(100, flash.destroy)

        def on_click(event):
            widget_width = event.widget.winfo_width()
            x_position = event.x

            if x_position < widget_width / 2:
                #flash_feedback("left")
                show_previous_figure()
            else:
                #flash_feedback("right")
                show_next_figure()

        def zoom_test(event):
            if event.num == 4:  # Scroll up
                print("zoom in")
            elif event.num == 5: # Scroll down
                print("zoom out")

        def zoom(event):
            # Fixed zoom factors (adjust these if you want faster or slower zoom)
            zoom_in_factor = 0.9   # When zooming in, ranges shrink by 10%
            zoom_out_factor = 1.1  # When zooming out, ranges increase by 10%

            # Determine the zoom direction based on the scroll event
            if event.num == 4 or (hasattr(event, 'delta') and event.delta > 0):  # Scroll up = zoom in
                factor = zoom_in_factor
            elif event.num == 5 or (hasattr(event, 'delta') and event.delta < 0): # Scroll down = zoom out
                factor = zoom_out_factor
            else:
                return  # No recognized scroll direction

            for ax in canvas.figure.get_axes():
                # Get the current mouse position in pixel coordinates
                mouse_x, mouse_y = event.x, event.y

                # Convert pixel coordinates to data coordinates
                inv = ax.transData.inverted()
                data_x, data_y = inv.transform((mouse_x, mouse_y))

                # Get the current axis limits
                xlim = ax.get_xlim()
                ylim = ax.get_ylim()

                # Calculate the zooming range around the cursor position
                x_range = (xlim[1] - xlim[0]) * factor
                y_range = (ylim[1] - ylim[0]) * factor

                # Adjust the limits while keeping the mouse position fixed
                ax.set_xlim([data_x - (data_x - xlim[0]) * factor, data_x + (xlim[1] - data_x) * factor])
                ax.set_ylim([data_y - (data_y - ylim[0]) * factor, data_y + (ylim[1] - data_y) * factor])

            # Redraw the figure efficiently
            canvas.draw_idle()

        # Bind events for hover, click interactions, and zoom
        canvas_widget.bind("<Motion>", on_hover)
        canvas_widget.bind("<Leave>", on_leave)
        canvas_widget.bind("<Button-1>", on_click)
        canvas_widget.bind("<Button-3>", on_right_click)

        # Detect the operating system and bind the appropriate mouse wheel events
        current_os = platform.system()

        if current_os == "Windows":
            canvas_widget.bind("<MouseWheel>", zoom)  # Windows
        elif current_os == "Darwin":
            canvas_widget.bind("<MouseWheel>", zoom)
            canvas_widget.bind("<Button-4>", zoom)  # Scroll up
            canvas_widget.bind("<Button-5>", zoom)  # Scroll down
        elif current_os == "Linux":
            canvas_widget.bind("<Button-4>", zoom)  # Linux Scroll up
            canvas_widget.bind("<Button-5>", zoom)  # Linux Scroll down

        process_fig_queue()

    def clear_unused_figures():
        global figures, figure_index

        lower_bound = max(0, figure_index - 20)
        upper_bound = min(len(figures), figure_index + 20)
        # Clear figures outside of the +/- 20 range
        figures = deque([fig for i, fig in enumerate(figures) if lower_bound <= i <= upper_bound])
        # Update the figure index after clearing
        figure_index = min(max(figure_index, 0), len(figures) - 1)

    def show_previous_figure():
        from .gui_elements import standardize_figure
        global figure_index, figures, fig_queue, index_control

        if figure_index is not None and figure_index > 0:
            figure_index -= 1
            index_control.set(figure_index)
            figures[figure_index] = standardize_figure(figures[figure_index])
            display_figure(figures[figure_index])

            #clear_unused_figures()

    def show_next_figure():
        from .gui_elements import standardize_figure
        global figure_index, figures, fig_queue, index_control
        if figure_index is not None and figure_index < len(figures) - 1:
            figure_index += 1
            index_control.set(figure_index)
            index_control.set_to(len(figures) - 1)
            figures[figure_index] = standardize_figure(figures[figure_index])
            display_figure(figures[figure_index])
            #clear_unused_figures()

        elif figure_index == len(figures) - 1 and not fig_queue.empty():
            fig = fig_queue.get_nowait()
            figures.append(fig)
            figure_index += 1
            index_control.set(figure_index)
            index_control.set_to(len(figures) - 1)
            display_figure(fig)

    def process_fig_queue():
        global canvas, fig_queue, canvas_widget, parent_frame, uppdate_frequency, figures, figure_index, index_control
        from .gui_elements import standardize_figure

        try:
            while not fig_queue.empty():
                fig = fig_queue.get_nowait()
                if fig is None:
                    print("Warning: Retrieved a None figure from fig_queue.")
                    continue

                # Standardize the figure appearance before adding it
                fig = standardize_figure(fig)
                figures.append(fig)

                # OPTIONAL: Cap the size of the figures deque at 100
                MAX_FIGURES = 100
                while len(figures) > MAX_FIGURES:
                    # Discard the oldest figure
                    old_fig = figures.popleft()
                    # If needed, you could also close the figure to free memory:
                    matplotlib.pyplot.close(old_fig)

                # Update slider maximum
                index_control.set_to(len(figures) - 1)

                # If no figure has been displayed yet
                if figure_index == -1:
                    figure_index = 0
                    display_figure(figures[figure_index])
                    index_control.set(figure_index)

        except Exception as e:
            print("Exception in process_fig_queue:", e)
            traceback.print_exc()

        finally:
            # Schedule process_fig_queue() to run again
            after_id = canvas_widget.after(uppdate_frequency, process_fig_queue)
            parent_frame.after_tasks.append(after_id)

    def update_figure(value):
        from .gui_elements import standardize_figure
        global figure_index, figures, index_control

        # Convert the value to an integer
        index = int(value)

        # Check if the index is valid
        if 0 <= index < len(figures):
            figure_index = index
            figures[figure_index] = standardize_figure(figures[figure_index])
            display_figure(figures[figure_index])
            index_control.set(figure_index)
            print("update_figure called with value:", figure_index)
            index_control.set_to(len(figures) - 1)

    def setup_plot_section(vertical_container, settings_type):
        global canvas, canvas_widget, figures, figure_index, index_control
        from .gui_utils import display_media_in_plot_frame

        style_out = set_dark_style(ttk.Style())
        bg = style_out['bg_color']
        fg = style_out['fg_color']

        # Initialize deque for storing figures and the current index
        figures = deque()
        figure_index = -1  # Start with no figure displayed

        # Create a frame for the plot section
        plot_frame = tk.Frame(vertical_container)
        plot_frame.configure(bg=bg)
        vertical_container.add(plot_frame, stretch="always")

        # Clear the plot_frame (optional)
        for widget in plot_frame.winfo_children():
            widget.destroy()

        # Create a figure and plot (initial figure)
        figure = Figure(figsize=(30, 4), dpi=100)
        plot = figure.add_subplot(111)
        plot.plot([], [])
        plot.axis('off')

        if settings_type == 'map_barcodes':
            current_dir = os.path.dirname(__file__)
            resources_path = os.path.join(current_dir, 'resources', 'icons')
            gif_path = os.path.join(resources_path, 'dna_matrix.mp4')
            display_media_in_plot_frame(gif_path, plot_frame)

            canvas = FigureCanvasTkAgg(figure, master=plot_frame)
            canvas.get_tk_widget().configure(cursor='arrow', highlightthickness=0)
            canvas_widget = canvas.get_tk_widget()
            return canvas, canvas_widget

        canvas = FigureCanvasTkAgg(figure, master=plot_frame)
        canvas.get_tk_widget().configure(cursor='arrow', highlightthickness=0)
        canvas_widget = canvas.get_tk_widget()
        canvas_widget.grid(row=0, column=0, sticky="nsew")
        plot_frame.grid_rowconfigure(0, weight=1)
        plot_frame.grid_columnconfigure(0, weight=1)
        canvas.draw()
        canvas.figure = figure
        figure.patch.set_facecolor(bg)
        plot.set_facecolor(bg)
        containers = [plot_frame]

        # Create slider
        control_frame = tk.Frame(plot_frame, height=15*2,  bg=bg)
        control_frame.grid(row=1, column=0, sticky="ew", padx=10, pady=5)
        control_frame.grid_propagate(False)

        index_control = spacrSlider(control_frame, from_=0, to=0, value=0, thickness=2, knob_radius=10,
                                    position="center", show_index=True, command=update_figure)

        index_control.grid(row=0, column=0, sticky="ew")
        control_frame.grid_columnconfigure(0, weight=1)

        widgets = [canvas_widget, index_control]
        style = ttk.Style(vertical_container)
        _ = set_dark_style(style, containers=containers, widgets=widgets)

        # Now ensure the first figure is displayed and recognized:
        figures.append(figure)
        figure_index = 0
        display_figure(figures[figure_index])
        index_control.set_to(len(figures) - 1)   # Slider max = 0 in this case, since there's only one figure
        index_control.set(figure_index)          # Set slider to 0 to indicate the first figure

        return canvas, canvas_widget

    def set_globals(thread_control_var, q_var, console_output_var, parent_frame_var, vars_dict_var, canvas_var, canvas_widget_var, scrollable_frame_var, fig_queue_var, progress_bar_var, usage_bars_var):
        global thread_control, q, console_output, parent_frame, vars_dict, canvas, canvas_widget, scrollable_frame, fig_queue, progress_bar, usage_bars
        thread_control = thread_control_var
        q = q_var
        console_output = console_output_var
        parent_frame = parent_frame_var
        vars_dict = vars_dict_var
        canvas = canvas_var
        canvas_widget = canvas_widget_var
        scrollable_frame = scrollable_frame_var
        fig_queue = fig_queue_var
        #figures = figures_var
        #figure_index = figure_index_var
        #index_control = index_control_var
        progress_bar = progress_bar_var
        usage_bars = usage_bars_var

    def import_settings(settings_type='mask'):
        global vars_dict, scrollable_frame, button_scrollable_frame

        from .gui_utils import convert_settings_dict_for_gui, hide_all_settings
        from .settings import generate_fields, set_default_settings_preprocess_generate_masks, get_measure_crop_settings, set_default_train_test_model
        from .settings import set_default_generate_barecode_mapping, set_default_umap_image_settings, get_analyze_recruitment_default_settings
        from .settings import get_default_generate_activation_map_settings, get_analyze_plaque_settings

        def read_settings_from_csv(csv_file_path):
            settings = {}
            with open(csv_file_path, newline='') as csvfile:
                reader = csv.DictReader(csvfile)
                for row in reader:
                    key = row['Key']
                    value = row['Value']
                    settings[key] = value
            return settings

        def update_settings_from_csv(variables, csv_settings):
            new_settings = variables.copy()  # Start with a copy of the original settings
            for key, value in csv_settings.items():
                if key in new_settings:
                    # Get the variable type and options from the original settings
                    var_type, options, _ = new_settings[key]
                    # Update the default value with the CSV value, keeping the type and options unchanged
                    new_settings[key] = (var_type, options, value)
            return new_settings

        csv_file_path = filedialog.askopenfilename(filetypes=[("CSV files", "*.csv")])

        if not csv_file_path:  # If no file is selected, return early
            return

        #vars_dict = hide_all_settings(vars_dict, categories=None)
        csv_settings = read_settings_from_csv(csv_file_path)
        if settings_type == 'mask':
            settings = set_default_settings_preprocess_generate_masks(settings={})
        elif settings_type == 'measure':
            settings = get_measure_crop_settings(settings={})
        elif settings_type == 'classify':
            settings = set_default_train_test_model(settings={})
        elif settings_type == 'sequencing':
            settings = set_default_generate_barecode_mapping(settings={})
        elif settings_type == 'umap':
            settings = set_default_umap_image_settings(settings={})
        elif settings_type == 'recruitment':
            settings = get_analyze_recruitment_default_settings(settings={})
        elif settings_type == 'activation':
            settings = get_default_generate_activation_map_settings(settings={})
        elif settings_type == 'analyze_plaques':
            settings = get_analyze_plaque_settings(settings={})
        elif settings_type == 'convert':
            settings = {}
        else:
            raise ValueError(f"Invalid settings type: {settings_type}")

        variables = convert_settings_dict_for_gui(settings)
        new_settings = update_settings_from_csv(variables, csv_settings)
        vars_dict = generate_fields(new_settings, scrollable_frame)
        vars_dict = hide_all_settings(vars_dict, categories=None)

    def setup_settings_panel(vertical_container, settings_type='mask'):
        global vars_dict, scrollable_frame
        from .settings import get_identify_masks_finetune_default_settings, set_default_analyze_screen, set_default_settings_preprocess_generate_masks
        from .settings import get_measure_crop_settings, deep_spacr_defaults, set_default_generate_barecode_mapping, set_default_umap_image_settings
        from .settings import get_map_barcodes_default_settings, get_analyze_recruitment_default_settings, get_check_cellpose_models_default_settings, get_analyze_plaque_settings
        from .settings import generate_fields, get_perform_regression_default_settings, get_train_cellpose_default_settings, get_default_generate_activation_map_settings
        from .gui_utils import convert_settings_dict_for_gui
        from .gui_elements import set_element_size

        size_dict = set_element_size()
        settings_width = size_dict['settings_width']

        # Create a PanedWindow for the settings panel
        settings_paned_window = tk.PanedWindow(vertical_container, orient=tk.HORIZONTAL, width=size_dict['settings_width'])
        vertical_container.add(settings_paned_window, stretch="always")

        settings_frame = tk.Frame(settings_paned_window, width=settings_width)
        settings_frame.pack_propagate(False)  # Prevent the frame from resizing based on its children

        settings_paned_window.add(settings_frame)

        scrollable_frame = spacrFrame(settings_frame)
        scrollable_frame.grid(row=1, column=0, sticky="nsew")
        settings_frame.grid_rowconfigure(1, weight=1)
        settings_frame.grid_columnconfigure(0, weight=1)

        if settings_type == 'mask':
            settings = set_default_settings_preprocess_generate_masks(settings={})
        elif settings_type == 'measure':
            settings = get_measure_crop_settings(settings={})
        elif settings_type == 'classify':
            settings = deep_spacr_defaults(settings={})
        elif settings_type == 'umap':
            settings = set_default_umap_image_settings(settings={})
        elif settings_type == 'train_cellpose':
            settings = get_train_cellpose_default_settings(settings={})
        elif settings_type == 'ml_analyze':
            settings = set_default_analyze_screen(settings={})
        elif settings_type == 'cellpose_masks':
            settings = get_identify_masks_finetune_default_settings(settings={})
        elif settings_type == 'cellpose_all':
            settings = get_check_cellpose_models_default_settings(settings={})
        elif settings_type == 'map_barcodes':
            settings = set_default_generate_barecode_mapping(settings={})
        elif settings_type == 'regression':
            settings = get_perform_regression_default_settings(settings={})
        elif settings_type == 'recruitment':
            settings = get_analyze_recruitment_default_settings(settings={})
        elif settings_type == 'activation':
            settings = get_default_generate_activation_map_settings(settings={})
        elif settings_type == 'analyze_plaques':
            settings = get_analyze_plaque_settings(settings={})
        elif settings_type == 'convert':
            settings = {'src':'path to images'}
        else:
            raise ValueError(f"Invalid settings type: {settings_type}")

        variables = convert_settings_dict_for_gui(settings)
        vars_dict = generate_fields(variables, scrollable_frame)

        containers = [settings_frame]
        widgets = [scrollable_frame]

        style = ttk.Style(vertical_container)
        _ = set_dark_style(style, containers=containers, widgets=widgets)

        print("Settings panel setup complete")
        return scrollable_frame, vars_dict

    def setup_console(vertical_container):
        global console_output
        from .gui_elements import set_dark_style

        # Apply dark style and get style output
        style = ttk.Style()
        style_out = set_dark_style(style)

        # Create a frame for the console section
        console_frame = tk.Frame(vertical_container, bg=style_out['bg_color'])
        vertical_container.add(console_frame, stretch="always")

        # Create a thicker frame at the top for the hover effect
        top_border = tk.Frame(console_frame, height=5, bg=style_out['bg_color'])
        top_border.grid(row=0, column=0, sticky="ew", pady=(0, 2))

        # Create the scrollable frame (which is a Text widget) with white text
        family = style_out['font_family']
        font_size = style_out['font_size']
        font_loader = style_out['font_loader']
        console_output = tk.Text(console_frame, bg=style_out['bg_color'], fg=style_out['fg_color'], font=font_loader.get_font(size=font_size), bd=0, highlightthickness=0)

        console_output.grid(row=1, column=0, sticky="nsew")  # Use grid for console_output

        # Configure the grid to allow expansion
        console_frame.grid_rowconfigure(1, weight=1)
        console_frame.grid_columnconfigure(0, weight=1)

        def on_enter(event):
            top_border.config(bg=style_out['active_color'])

        def on_leave(event):
            top_border.config(bg=style_out['bg_color'])

        #def on_enter_key(event):
        #    user_input = console_output.get("1.0", "end-1c").strip()  # Get the user input from the console
        #    if user_input:
        #        # Print the user input with the (user) tag
        #        console_output.insert("end", f"\n(user): {user_input}\n")
        #
        #        # Get the AI response from the chatbot
        #        response = chatbot.ask_question(user_input)
        #
        #        # Print the AI response with the (ai) tag
        #        console_output.insert("end", f"(ai): {response}\n")
        #
        #        console_output.see("end")  # Scroll to the end
        #        #console_output.delete("1.0", "end")  # Clear the input field
        #    return "break"  # Prevent the default behavior of inserting a new line

        console_output.bind("<Enter>", on_enter)
        console_output.bind("<Leave>", on_leave)

        #console_output.bind("<Return>", on_enter_key)

        return console_output, console_frame

    def setup_button_section(horizontal_container, settings_type='mask', run=True, abort=True, download=True, import_btn=True):
        global thread_control, parent_frame, button_frame, button_scrollable_frame, run_button, abort_button, download_dataset_button, import_button, q, fig_queue, vars_dict, progress_bar
        from .gui_utils import download_hug_dataset
        from .gui_elements import set_element_size

        size_dict = set_element_size()
        button_section_height = size_dict['panel_height']
        button_frame = tk.Frame(horizontal_container, height=button_section_height)

        horizontal_container.add(button_frame, stretch="always", sticky="nsew")
        button_scrollable_frame = spacrFrame(button_frame, scrollbar=False)
        button_scrollable_frame.grid(row=1, column=0, sticky="nsew")
        widgets = [button_scrollable_frame.scrollable_frame]

        btn_col = 0
        btn_row = 0

        if run:
            run_button = spacrButton(button_scrollable_frame.scrollable_frame, text="run", command=lambda: start_process(q, fig_queue, settings_type), show_text=False, size=size_dict['btn_size'], animation=False)
            run_button.grid(row=btn_row, column=btn_col, pady=5, padx=5, sticky='ew')
            widgets.append(run_button)
            btn_col += 1

        if abort and settings_type in ['mask', 'measure', 'classify', 'sequencing', 'umap', 'map_barcodes']:
            abort_button = spacrButton(button_scrollable_frame.scrollable_frame, text="abort", command=lambda: initiate_abort(), show_text=False, size=size_dict['btn_size'], animation=False)
            abort_button.grid(row=btn_row, column=btn_col, pady=5, padx=5, sticky='ew')
            widgets.append(abort_button)
            btn_col += 1

        if download and settings_type in ['mask']:
            download_dataset_button = spacrButton(button_scrollable_frame.scrollable_frame, text="download", command=lambda: download_hug_dataset(q, vars_dict), show_text=False, size=size_dict['btn_size'], animation=False)
            download_dataset_button.grid(row=btn_row, column=btn_col, pady=5, padx=5, sticky='ew')
            widgets.append(download_dataset_button)
            btn_col += 1

        if import_btn:
            import_button = spacrButton(button_scrollable_frame.scrollable_frame, text="settings", command=lambda: import_settings(settings_type), show_text=False, size=size_dict['btn_size'], animation=False)
            import_button.grid(row=btn_row, column=btn_col, pady=5, padx=5, sticky='ew')
            widgets.append(import_button)
            btn_row += 1

        btn_row += 1
        # Add the batch progress bar
        progress_bar = spacrProgressBar(button_scrollable_frame.scrollable_frame, orient='horizontal', mode='determinate')
        progress_bar.grid(row=btn_row, column=0, columnspan=7, pady=5, padx=5, sticky='ew')
        progress_bar.set_label_position()  # Set the label position after grid placement
        widgets.append(progress_bar)

        if vars_dict is not None:
            toggle_settings(button_scrollable_frame)

        style = ttk.Style(horizontal_container)
        _ = set_dark_style(style, containers=[button_frame], widgets=widgets)

        return button_scrollable_frame, btn_col

    def setup_usage_panel(horizontal_container, btn_col, uppdate_frequency):
        global usage_bars
        from .gui_elements import set_dark_style, set_element_size

        usg_col = 1

        def update_usage(ram_bar, vram_bar, gpu_bar, usage_bars, parent_frame):
            # Update RAM usage
            ram_usage = psutil.virtual_memory().percent
            ram_bar['value'] = ram_usage

            # Update GPU and VRAM usage
            gpus = GPUtil.getGPUs()
            if gpus:
                gpu = gpus[0]
                vram_usage = gpu.memoryUtil * 100
                gpu_usage = gpu.load * 100
                vram_bar['value'] = vram_usage
                gpu_bar['value'] = gpu_usage

            # Update CPU usage for each core
            cpu_percentages = psutil.cpu_percent(percpu=True)
            for bar, usage in zip(usage_bars[3:], cpu_percentages):
                bar['value'] = usage

            # Schedule the function to run again after 1000 ms (1 second)
            parent_frame.after(uppdate_frequency, update_usage, ram_bar, vram_bar, gpu_bar, usage_bars, parent_frame)

        size_dict = set_element_size()
        usage_panel_height = size_dict['panel_height']
        usage_frame = tk.Frame(horizontal_container, height=usage_panel_height)
        horizontal_container.add(usage_frame)

        usage_frame.grid_rowconfigure(0, weight=0)
        usage_frame.grid_rowconfigure(1, weight=1)
        usage_frame.grid_columnconfigure(0, weight=1)
        usage_frame.grid_columnconfigure(1, weight=1)

        usage_scrollable_frame = spacrFrame(usage_frame, scrollbar=False)
        usage_scrollable_frame.grid(row=1, column=0, sticky="nsew", columnspan=2)
        widgets = [usage_scrollable_frame.scrollable_frame]

        usage_bars = []
        max_elements_per_column = 5
        row = 0
        col = 0

        # Initialize RAM, VRAM, and GPU bars as None
        ram_bar, vram_bar, gpu_bar = None, None, None

        # Configure the style for the label
        style = ttk.Style()
        style_out = set_dark_style(style)
        font_loader = style_out['font_loader']
        font_size = style_out['font_size'] - 2
        style.configure("usage.TLabel", font=font_loader.get_font(size=font_size), foreground=style_out['fg_color'])

        # Try adding RAM bar
        try:
            ram_info = psutil.virtual_memory()
            ram_label_text = f"RAM"
            label = tk.Label(usage_scrollable_frame.scrollable_frame,text=ram_label_text,anchor='w',font=font_loader.get_font(size=font_size),bg=style_out['bg_color'],fg=style_out['fg_color'])
            label.grid(row=row, column=2 * col, pady=5, padx=5, sticky='w')
            ram_bar = spacrProgressBar(usage_scrollable_frame.scrollable_frame, orient='horizontal', mode='determinate', length=size_dict['bar_size'], label=False)
            ram_bar.grid(row=row, column=2 * col + 1, pady=5, padx=5, sticky='ew')
            widgets.append(label)
            widgets.append(ram_bar)
            usage_bars.append(ram_bar)
            row += 1
        except Exception as e:
            print(f"Could not add RAM usage bar: {e}")

        # Try adding VRAM and GPU usage bars
        try:
            gpus = GPUtil.getGPUs()
            if gpus:
                gpu = gpus[0]
                vram_label_text = f"VRAM"
                label = tk.Label(usage_scrollable_frame.scrollable_frame,text=vram_label_text,anchor='w',font=font_loader.get_font(size=font_size),bg=style_out['bg_color'],fg=style_out['fg_color'])
                label.grid(row=row, column=2 * col, pady=5, padx=5, sticky='w')
                vram_bar = spacrProgressBar(usage_scrollable_frame.scrollable_frame, orient='horizontal', mode='determinate', length=size_dict['bar_size'], label=False)
                vram_bar.grid(row=row, column=2 * col + 1, pady=5, padx=5, sticky='ew')
                widgets.append(label)
                widgets.append(vram_bar)
                usage_bars.append(vram_bar)
                row += 1

                gpu_label_text = f"GPU"
                label = tk.Label(usage_scrollable_frame.scrollable_frame,text=gpu_label_text,anchor='w',font=font_loader.get_font(size=font_size),bg=style_out['bg_color'],fg=style_out['fg_color'])
                label.grid(row=row, column=2 * col, pady=5, padx=5, sticky='w')
                gpu_bar = spacrProgressBar(usage_scrollable_frame.scrollable_frame, orient='horizontal', mode='determinate', length=size_dict['bar_size'], label=False)
                gpu_bar.grid(row=row, column=2 * col + 1, pady=5, padx=5, sticky='ew')
                widgets.append(label)
                widgets.append(gpu_bar)
                usage_bars.append(gpu_bar)
                row += 1
        except Exception as e:
            print(f"Could not add VRAM or GPU usage bars: {e}")

        # Add CPU core usage bars
        try:
            cpu_cores = psutil.cpu_count(logical=True)
            cpu_freq = psutil.cpu_freq()

            for core in range(cpu_cores):
                if row > 0 and row % max_elements_per_column == 0:
                    col += 1
                    row = 0

                label = tk.Label(usage_scrollable_frame.scrollable_frame,text=f"C{core+1}",anchor='w',font=font_loader.get_font(size=font_size),bg=style_out['bg_color'],fg=style_out['fg_color'])
                label.grid(row=row, column=2 * col, pady=2, padx=5, sticky='w')
                bar = spacrProgressBar(usage_scrollable_frame.scrollable_frame, orient='horizontal', mode='determinate', length=size_dict['bar_size'], label=False)
                bar.grid(row=row, column=2 * col + 1, pady=2, padx=5, sticky='ew')
                widgets.append(label)
                widgets.append(bar)
                usage_bars.append(bar)
                row += 1
        except Exception as e:
            print(f"Could not add CPU core usage bars: {e}")

        style = ttk.Style(horizontal_container)
        _ = set_dark_style(style, containers=[usage_frame], widgets=widgets)

        if ram_bar is None:
            ram_bar = spacrProgressBar(usage_scrollable_frame.scrollable_frame, orient='horizontal', mode='determinate', length=size_dict['bar_size'], label=False)
        if vram_bar is None:
            vram_bar = spacrProgressBar(usage_scrollable_frame.scrollable_frame, orient='horizontal', mode='determinate', length=size_dict['bar_size'], label=False)
        if gpu_bar is None:
            gpu_bar = spacrProgressBar(usage_scrollable_frame.scrollable_frame, orient='horizontal', mode='determinate', length=size_dict['bar_size'], label=False)

        update_usage(ram_bar, vram_bar, gpu_bar, usage_bars, usage_frame)
        return usage_scrollable_frame, usage_bars, usg_col

    def initiate_abort():
        global thread_control, q, parent_frame
        if thread_control.get("run_thread") is not None:
            try:
                #q.put("Aborting processes...")
                thread_control.get("run_thread").terminate()
                thread_control["run_thread"] = None
                q.put("Processes aborted.")
            except Exception as e:
                q.put(f"Error aborting process: {e}")

        thread_control = {"run_thread": None, "stop_requested": False}

    def check_src_folders_files(settings, settings_type, q):
        """
        Checks if 'src' is a key in the settings dictionary and if it exists as a valid path.
        If 'src' is a list, iterates through the list and checks each path.
        If any path is missing, prompts the user to edit or remove invalid paths.
        """

        request_stop = False

        def _folder_has_images(folder_path, image_extensions = {".png", ".jpg", ".jpeg", ".bmp", ".gif", ".tiff", ".tif", ".webp", ".npy", ".npz", "nd2", "czi", "lif"}):
            """Check if a folder contains any image files."""
            return any(file.lower().endswith(tuple(image_extensions)) for file in os.listdir(folder_path))

        def _has_folder(parent_folder, sub_folder="measure"):
            """Check if a specific sub-folder exists inside the given folder."""
            return os.path.isdir(os.path.join(parent_folder, sub_folder))

        from .utils import normalize_src_path, generate_image_path_map

        settings['src'] = normalize_src_path(settings['src'])

        src_value = settings.get("src")

        # **Skip if 'src' is missing**
        if src_value is None:
            return request_stop

        # Convert single string src to a list for uniform handling
        if isinstance(src_value, str):
            src_list = [src_value]
        elif isinstance(src_value, list):
            src_list = src_value
        else:
            request_stop = True
            return request_stop  # Ensure early exit

        # Identify missing paths
        missing_paths = {i: path for i, path in enumerate(src_list) if not os.path.exists(path)}

        if missing_paths:
            q.put(f'Error: The following paths are missing: {missing_paths}')
            request_stop = True
            return request_stop  # Ensure early exit

        conditions = [True]  # Initialize conditions list

        for path in src_list:  # Fixed: Use src_list instead of src_value
            if settings_type == 'mask':
                if settings['consolidate']:
                    image_map = generate_image_path_map(path)
                    if len(image_map) > 0:
                        request_stop = False
                        return request_stop
                    else:
                        q.put(f"Error: Missing subfolders with images for: {path}")
                        request_stop = True
                        return request_stop
                else:
                    pictures_continue = _folder_has_images(path)
                    folder_chan_continue = _has_folder(path, "1")
                    folder_stack_continue = _has_folder(path, "stack")
                    folder_npz_continue = _has_folder(path, "norm_channel_stack")

                    if not pictures_continue:
                        if not any([folder_chan_continue, folder_stack_continue, folder_npz_continue]):
                            if not folder_chan_continue:
                                q.put(f"Error: Missing channel folder in folder: {path}")

                            if not folder_stack_continue:
                                q.put(f"Error: Missing stack folder in folder: {path}")

                            if not folder_npz_continue:
                                q.put(f"Error: Missing norm_channel_stack folder in folder: {path}")
                            else:
                                q.put(f"Error: No images in folder: {path}")

                    #q.put(f"path:{path}")
                    #q.put(f"pictures_continue:{pictures_continue}, folder_chan_continue:{folder_chan_continue}, folder_stack_continue:{folder_stack_continue}, folder_npz_continue:{folder_npz_continue}")

                    conditions = [pictures_continue, folder_chan_continue, folder_stack_continue, folder_npz_continue]

            if settings_type == 'measure':
                if not os.path.basename(path) == 'merged':
                    path = os.path.join(path, "merged")
                npy_continue = _folder_has_images(path, image_extensions={".npy"})
                conditions = [npy_continue]

            #if settings_type == 'recruitment':
            #    if not os.path.basename(path) == 'measurements':
            #        path = os.path.join(path, "measurements")
            #    db_continue = _folder_has_images(path, image_extensions={".db"})
            #    conditions = [db_continue]

            #if settings_type == 'umap':
            #    if not os.path.basename(path) == 'measurements':
            #        path = os.path.join(path, "measurements")
            #    db_continue = _folder_has_images(path, image_extensions={".db"})
            #    conditions = [db_continue]

            #if settings_type == 'analyze_plaques':
            #    if not os.path.basename(path) == 'measurements':
            #        path = os.path.join(path, "measurements")
            #    db_continue = _folder_has_images(path, image_extensions={".db"})
            #    conditions = [db_continue]

            #if settings_type == 'map_barcodes':
            #    if not os.path.basename(path) == 'measurements':
            #        path = os.path.join(path, "measurements")
            #    db_continue = _folder_has_images(path, image_extensions={".db"})
            #    conditions = [db_continue]

            #if settings_type == 'regression':
            #    if not os.path.basename(path) == 'measurements':
            #        path = os.path.join(path, "measurements")
            #    db_continue = _folder_has_images(path, image_extensions={".db"})
            #    conditions = [db_continue]

            #if settings_type == 'classify':
            #    if not os.path.basename(path) == 'measurements':
            #        path = os.path.join(path, "measurements")
            #    db_continue = _folder_has_images(path, image_extensions={".db"})
            #    conditions = [db_continue]

            #if settings_type == 'analyze_plaques':
            #    if not os.path.basename(path) == 'measurements':
            #        path = os.path.join(path, "measurements")
            #    db_continue = _folder_has_images(path, image_extensions={".db"})
            #    conditions = [db_continue]

        if not any(conditions):
            q.put(f"Error: The following path(s) is missing images or folders: {path}")
            request_stop = True

        return request_stop

    def start_process(q=None, fig_queue=None, settings_type='mask'):
        global thread_control, vars_dict, parent_frame
        from .settings import check_settings, expected_types
        from .gui_utils import run_function_gui, set_cpu_affinity, initialize_cuda, display_gif_in_plot_frame, print_widget_structure

        if q is None:
            q = Queue()
        if fig_queue is None:
            fig_queue = Queue()
        try:
            settings, errors = check_settings(vars_dict, expected_types, q)

            if len(errors) > 0:
                return

            if check_src_folders_files(settings, settings_type, q):
                return

        except ValueError as e:
            q.put(f"Error: {e}")
            return

        if isinstance(thread_control, dict) and thread_control.get("run_thread") is not None:
            initiate_abort()

        stop_requested = Value('i', 0)
        thread_control["stop_requested"] = stop_requested

        # Initialize CUDA in the main process
        initialize_cuda()

        process_args = (settings_type, settings, q, fig_queue, stop_requested)
        if settings_type in ['mask', 'umap', 'measure', 'simulation', 'sequencing', 'classify', 'analyze_plaques',
                             'cellpose_dataset', 'train_cellpose', 'ml_analyze', 'cellpose_masks', 'cellpose_all',
                             'map_barcodes', 'regression', 'recruitment', 'cellpose_compare', 'vision_scores',
                             'vision_dataset', 'convert']:

            # Start the process
            process = Process(target=run_function_gui, args=process_args)
            process.start()

            # Set CPU affinity if necessary
            set_cpu_affinity(process)

            # Store the process in thread_control for future reference
            thread_control["run_thread"] = process

        else:
            q.put(f"Error: Unknown settings type '{settings_type}'")
            return

    def process_console_queue():
        global q, console_output, parent_frame, progress_bar, process_console_queue

        # Initialize function attribute if it doesn't exist
        if not hasattr(process_console_queue, "completed_tasks"):
            process_console_queue.completed_tasks = []
        if not hasattr(process_console_queue, "current_maximum"):
            process_console_queue.current_maximum = None

        ansi_escape_pattern = re.compile(r'\x1B\[[0-?]*[ -/]*[@-~]')

        spacing = 5

        # **Configure styles for different message types**
        console_output.tag_configure("error", foreground="red", spacing3 = spacing)
        console_output.tag_configure("warning", foreground="orange", spacing3 = spacing)
        console_output.tag_configure("normal", foreground="white", spacing3 = spacing)

        while not q.empty():
            message = q.get_nowait()
            clean_message = ansi_escape_pattern.sub('', message)

            # **Detect Error Messages (Red)**
            if clean_message.startswith("Error:"):
                console_output.insert(tk.END, clean_message + "\n", "error")
                console_output.see(tk.END)
                #print("Run aborted due to error:", clean_message)  # Debug message
                #return  # **Exit immediately to stop further execution**

            # **Detect Warning Messages (Orange)**
            elif clean_message.startswith("Warning:"):
                console_output.insert(tk.END, clean_message + "\n", "warning")

            # **Process Progress Messages Normally**
            elif clean_message.startswith("Progress:"):
                try:
                    # Extract the progress information
                    match = re.search(r'Progress: (\d+)/(\d+), operation_type: ([\w\s]*),(.*)', clean_message)

                    if match:
                        current_progress = int(match.group(1))
                        total_progress = int(match.group(2))
                        operation_type = match.group(3).strip()
                        additional_info = match.group(4).strip()  # Capture everything after operation_type

                        # Check if the maximum value has changed
                        if process_console_queue.current_maximum != total_progress:
                            process_console_queue.current_maximum = total_progress
                            process_console_queue.completed_tasks = []

                        # Add the task to the completed set
                        process_console_queue.completed_tasks.append(current_progress)

                        # Calculate the unique progress count
                        unique_progress_count = len(np.unique(process_console_queue.completed_tasks))

                        # Update the progress bar
                        if progress_bar:
                            progress_bar['maximum'] = total_progress
                            progress_bar['value'] = unique_progress_count

                        # Store operation type and additional info
                        if operation_type:
                            progress_bar.operation_type = operation_type
                            progress_bar.additional_info = additional_info

                        # Update the progress label
                        if progress_bar.progress_label:
                            progress_bar.update_label()

                        # Clear completed tasks when progress is complete
                        if unique_progress_count >= total_progress:
                            process_console_queue.completed_tasks.clear()

                except Exception as e:
                    print(f"Error parsing progress message: {e}")

            # **Insert Normal Messages with Extra Line Spacing**
            else:
                console_output.insert(tk.END, clean_message + "\n", "normal")

            console_output.see(tk.END)

        # **Continue processing if no error was detected**
        after_id = console_output.after(uppdate_frequency, process_console_queue)
        parent_frame.after_tasks.append(after_id)

    def process_console_queue_v2():
        global q, console_output, parent_frame, progress_bar, process_console_queue

        # Initialize function attribute if it doesn't exist
        if not hasattr(process_console_queue, "completed_tasks"):
            process_console_queue.completed_tasks = []
        if not hasattr(process_console_queue, "current_maximum"):
            process_console_queue.current_maximum = None

        ansi_escape_pattern = re.compile(r'\x1B\[[0-?]*[ -/]*[@-~]')

        while not q.empty():
            message = q.get_nowait()
            clean_message = ansi_escape_pattern.sub('', message)

            # **Abort Execution if an Error Message is Detected**
            if clean_message.startswith("Error:"):
                console_output.insert(tk.END, clean_message + "\n", "error")
                console_output.see(tk.END)
                print("Run aborted due to error:", clean_message)  # Debug message
                return  # **Exit immediately to stop further execution**

            # Check if the message contains progress information
            if clean_message.startswith("Progress:"):
                try:
                    # Extract the progress information
                    match = re.search(r'Progress: (\d+)/(\d+), operation_type: ([\w\s]*),(.*)', clean_message)

                    if match:
                        current_progress = int(match.group(1))
                        total_progress = int(match.group(2))
                        operation_type = match.group(3).strip()
                        additional_info = match.group(4).strip()  # Capture everything after operation_type

                        # Check if the maximum value has changed
                        if process_console_queue.current_maximum != total_progress:
                            process_console_queue.current_maximum = total_progress
                            process_console_queue.completed_tasks = []

                        # Add the task to the completed set
                        process_console_queue.completed_tasks.append(current_progress)

                        # Calculate the unique progress count
                        unique_progress_count = len(np.unique(process_console_queue.completed_tasks))

                        # Update the progress bar
                        if progress_bar:
                            progress_bar['maximum'] = total_progress
                            progress_bar['value'] = unique_progress_count

                        # Store operation type and additional info
                        if operation_type:
                            progress_bar.operation_type = operation_type
                            progress_bar.additional_info = additional_info

                        # Update the progress label
                        if progress_bar.progress_label:
                            progress_bar.update_label()

                        # Clear completed tasks when progress is complete
                        if unique_progress_count >= total_progress:
                            process_console_queue.completed_tasks.clear()

                except Exception as e:
                    print(f"Error parsing progress message: {e}")

            else:
                # Insert non-progress messages into the console
                console_output.insert(tk.END, clean_message + "\n")
                console_output.see(tk.END)

        # **Continue processing if no error was detected**
        after_id = console_output.after(uppdate_frequency, process_console_queue)
        parent_frame.after_tasks.append(after_id)

    def main_thread_update_function(root, q, fig_queue, canvas_widget):
        global uppdate_frequency
        try:
            while not q.empty():
                message = q.get_nowait()
        except Exception as e:
            print(f"Error updating GUI canvas: {e}")
        finally:
            root.after(uppdate_frequency, lambda: main_thread_update_function(root, q, fig_queue, canvas_widget))

    def cleanup_previous_instance():
        """
        Cleans up resources from the previous application instance.
        """
        global parent_frame, usage_bars, figures, figure_index, thread_control, canvas, q, fig_queue

        # 1. Destroy all widgets in the parent frame
        if parent_frame is not None:
            for widget in parent_frame.winfo_children():
                try:
                    widget.destroy()
                except Exception as e:
                    print(f"Error destroying widget: {e}")
            parent_frame.update_idletasks()
            parent_frame = None

        # 2. Cancel all pending `after` tasks
        if parent_frame is not None:
            parent_window = parent_frame.winfo_toplevel()
            if hasattr(parent_window, 'after_tasks'):
                for after_id in parent_window.after_tasks:
                    parent_window.after_cancel(after_id)
                parent_window.after_tasks = []

        # 3. Clear global queues
        if q is not None:
            while not q.empty():
                q.get()
            q = None

        if fig_queue is not None:
            while not fig_queue.empty():
                fig_queue.get()
            fig_queue = None

        # 4. Stop and reset global thread control
        if thread_control is not None:
            thread_control['stop'] = True
            #thread_control = None

        # 5. Reset usage bars, figures, and indices
        usage_bars = []
        figures = deque()
        figure_index = -1

        # 6. Clear canvas or other visualizations
        if canvas is not None:
            try:
                if hasattr(canvas, 'figure'):  # Check if it's a FigureCanvasTkAgg
                    canvas.figure.clear()  # Clear the Matplotlib figure
                    canvas.get_tk_widget().destroy()  # Destroy the Tkinter widget
                else:
                    # Assume it's a standard Tkinter Canvas
                    canvas.delete("all")
            except Exception as e:
                print(f"Error clearing canvas: {e}")
            canvas = None

        print("Previous instance cleaned up successfully.")

    def initiate_root(parent, settings_type='mask'):
        """
        Initializes the root window and sets up the GUI components based on the specified settings type.

        Args:
            parent (tkinter.Tk or tkinter.Toplevel): The parent window for the GUI.
            settings_type (str, optional): The type of settings to be displayed in the GUI. Defaults to 'mask'.

        Returns:
            tuple: A tuple containing the parent frame and the dictionary of variables used in the GUI.
        """

        global q, fig_queue, thread_control, parent_frame, scrollable_frame, button_frame, vars_dict, canvas, canvas_widget, button_scrollable_frame, progress_bar, uppdate_frequency, figures, figure_index, index_control, usage_bars

        # Clean up any previous instance
        cleanup_previous_instance()

        from .gui_utils import setup_frame
        from .gui_elements import create_menu_bar
        from .settings import descriptions
        #from .openai import Chatbot

        uppdate_frequency = 500
        num_cores = os.cpu_count()

        #chatbot = Chatbot(api_key="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")

        # Start tracemalloc and initialize global variables
        tracemalloc.start()

        set_start_method('spawn', force=True)
        #set_start_method('forkserver', force=True)
        print("Initializing root with settings_type:", settings_type)

        # Initialize global variables
        figures = deque()
        figure_index = -1

        parent_frame = parent

        if not isinstance(parent_frame, (tk.Tk, tk.Toplevel)):
            parent_window = parent_frame.winfo_toplevel()
        else:
            parent_window = parent_frame

        parent_window.update_idletasks()

        if not hasattr(parent_window, 'after_tasks'):
            parent_window.after_tasks = []

        q = Queue()
        fig_queue = Queue()
        parent_frame, vertical_container, horizontal_container, settings_container = setup_frame(parent_frame)

        if settings_type == 'annotate':
            from .app_annotate import initiate_annotation_app
            initiate_annotation_app(horizontal_container)
        elif settings_type == 'make_masks':
            from .app_make_masks import initiate_make_mask_app
            initiate_make_mask_app(horizontal_container)
        else:
            scrollable_frame, vars_dict = setup_settings_panel(settings_container, settings_type)
            print('setup_settings_panel')
            canvas, canvas_widget = setup_plot_section(vertical_container, settings_type)
            console_output, _ = setup_console(vertical_container) #, chatbot)
            button_scrollable_frame, btn_col = setup_button_section(horizontal_container, settings_type)

            if num_cores > 12:
                _, usage_bars, btn_col = setup_usage_panel(horizontal_container, btn_col, uppdate_frequency)
            else:
                usage_bars = []

            set_globals(thread_control, q, console_output, parent_frame, vars_dict, canvas, canvas_widget, scrollable_frame, fig_queue, progress_bar, usage_bars)
            description_text = descriptions.get(settings_type, "No description available for this module.")

            q.put(f"Console")
            q.put(f" ")
            q.put(description_text)

            process_console_queue()
            process_fig_queue()
            create_menu_bar(parent)
            after_id = parent_window.after(uppdate_frequency, lambda: main_thread_update_function(parent_window, q, fig_queue, canvas_widget))
            parent_window.after_tasks.append(after_id)

        print("Root initialization complete")
        return parent_frame, vars_dict