Source code for gui_styling

"""Functions for GUI styling.

In addition to the layout file, these functions focus on the style
of the elements composing the GUI.

AUTHOR:
Timothy Cote, ANL, Fall 2019.
"""

import os
from typing import Any, Dict, Tuple, Optional


# ============================================================= #
#                          Window Scaling                       #
# ============================================================= #
def get_icon() -> 'bytes':
    """Returns the icon for display in the dock."""

    icon_img = b'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'
    return icon_img


def pad(left: int, right: int, top: int, bottom: int) -> Tuple[Tuple[int, int], Tuple[int, int]]:
    """Set padding of element.

    Args:
    left: Left padding.
    right: Right padding.
    top: Top padding.
    bottom: Bottom padding.

    Returns
    ----------
    padding: The padding format for PySimpleGUI/Tkinter
    """

    padding = ((left, right), (top, bottom))
    return padding


# ============================================================= #
#                  Window and Element Defaults                  #
# ============================================================= #
class WindowStyle(object):
    """The WindowStyle class sets the styling
    of the window and most elements.

    Attributes:
        DEF_BACKGROUND: The theme background color.
        fonts: The dictionary of font styles.
        DEF_FONT: The default body text font.
        window_height: Window height.
        window_width: Window width.
        tab_size: The tab size.
        small_tab_size: The small tab size."""

    def __init__(self, theme_background_color: str) -> None:
        """Initialize the style of the window."""

        # ---------  Theme & Scaling  --------- #
        self.DEF_BACKGROUND = theme_background_color

        # ---------  self.Fonts and test  --------- #
        self.fonts = {
            'title': ('Times New Roman', '24', 'bold'),
            'bold heading': ('Times New Roman', '18', 'bold'),
            'body': ('Times New Roman', '16'),
            'heading': ('Times New Roman', '18'),
            'tab': ('Times New Roman', '16')}
        self.DEF_FONT = self.fonts['body']
        self.window_width = 1190
        self.window_height = 800
        self.tab_size = (self.window_width, self.window_height - 25)
        self.small_tab_size = (self.window_width, self.window_height - 50)

    # ---------  Individual Element Styling --------- #
    def styles(self, key: str, default_folder: Optional[str] = None) -> Dict:
        """The styles within the GUI.

        Args:
            key: The key for a PySimpleGUI element.
            default_folder: The default folder to browse as defined by defaults.txt.

        Returns:
            key_style: A dictionary of the key-value pairs
                for a specific type of element given
                by 'key'."""

        # Input size
        inp_pad = ((0, 0), (0, 10))
        inp_wid = (5, 1)

        # Fonts
        T_f = self.fonts["title"]
        bH_f = self.fonts["bold heading"]

        python_dir = os.path.dirname(__file__)
        spinner_gif = f'{python_dir}/spinner.gif'
        background_img =  f'{python_dir}/background.gif'
        theme_background = self.DEF_BACKGROUND
        B_f = self.fonts['body']

        def home_style(key: str, val: Dict) -> Dict:
            """The styles within the home tab of the GUI.

                Args:
                    key: The key for a PySimpleGUI element.
                    val: The dictionary of the style with which to update key.

                Returns:
                    key_style: A dictionary of the key-value pairs
                        for a specific type of element given
                        by 'key'."""

            # __________________ Home  ______________ #
            # Browse Button elements
            if key == '__Browser_Browse__':
                val.update(pad=pad(164, 0, 10, 0), target='__Browser_Path__')
            # Button elements
            elif key == '__Browser_Set__':
                val.update(pad=pad(10, 0, 10, 0))
            elif key == '__Browser_Reset__':
                val.update(pad=pad(10, 0, 10, 0))
            # Input elements
            elif key == '__Browser_Path__':
                val.update(pad=pad(16, 0, 10, 0), size=(30, 1))
            # Text elements
            elif key == 'home_title':
                val.update(pad=pad(226, 0, 70, 5), font=T_f)
            elif key == 'home_version':
                val.update(pad=((326, 0), (0, 0)), font=bH_f)
            elif key == 'home_authors':
                val.update(pad=((219, 0), (0, 0)))
            elif key == 'home_readme':
                val.update(pad=((215, 0), (5, 5)), size=(42, 16),
                           font=B_f, background_color='#e4eaf5')
            elif key == 'home_contact':
                val.update(pad=pad(235, 0, 20, 40))
            return val

        def REC_style(key, val) -> Dict:
            """The styles within the reconstruction tab of the GUI.

            Args:
                key: The key for a PySimpleGUI element.
                val: The dictionary of the style with which to update key.

            Returns:
                key_style: A dictionary of the key-value pairs
                    for a specific type of element given
                    by 'key'."""

            # Invisible
            if key == '__REC_Stack_Stage__':
                val.update(visible=False, enable_events=True)
            if key == '__REC_FLS1_Staging__':
                val.update(visible=False, enable_events=True)
            if key == '__REC_FLS2_Staging__':
                val.update(visible=False, enable_events=True)
            # Browse Buttons
            elif key == '__REC_Load_Stack__':
                val.update(target='__REC_Stack_Stage__',
                           pad=((5, 0), (5, 0)), disabled=True)
            elif key == '__REC_Load_FLS1__':
                val.update(target='__REC_FLS1_Staging__', pad=((10, 0), (5, 0)),
                           disabled=True)
            elif key == '__REC_Load_FLS2__':
                val.update(target='__REC_FLS2_Staging__', pad=((10, 0), (5, 0)),
                           disabled=True)
            elif key == '__REC_Image_Dir_Browse__':
                val.update(target='__REC_Image_Dir_Path__',
                           pad=((5, 0), (7, 0)), initial_folder=default_folder)
            # Button Element
            elif key == '__REC_Set_FLS__':
                val.update(pad=((130, 0), (2, 5)), disabled=True,
                           metadata={'State': 'Def'})
            elif key == '__REC_Reset_FLS__':
                val.update(pad=((5, 0), (2, 5)), disabled=True)
            elif key == '__REC_Mask__':
                val.update(pad=((50, 0), (4, 4)), disabled=True,
                           metadata={'Set': 'Confirm Region', 'Def': 'Select Region',
                                     'State': 'Def'})
            elif key == '__REC_Erase_Mask__':
                val.update(disabled=True, pad=((10, 0), (4, 4)))
            elif key == '__REC_Run_TIE__':
                val.update(enable_events=True, disabled=True, pad=((12, 0), (10, 0)))
            elif key == '__REC_Save_TIE__':
                val.update(enable_events=True, disabled=True, pad=((10, 0), (8, 0)))
            elif key == '__REC_Set_Img_Dir__':
                val.update(pad=((3, 0), (7, 0)), metadata={'State': 'Def'})
            elif key == '__REC_Reset_Img_Dir__':
                val.update(pad=((3, 0), (7, 0)))
            # Combobox Element
            elif key == '__REC_FLS_Combo__':
                val.update(enable_events=True, default_value='Two', size=(5, 1),
                           readonly=True, disabled=True, pad=((3, 0), (10, 0)),
                           metadata={'Set': 'Two', 'Def': 'Two', 'State': 'Def'})
            elif key == '__REC_TFS_Combo__':
                val.update(enable_events=True, default_value='Unflip/Flip', size=(12, 1),
                           readonly=True, disabled=True, pad=((0, 0), (10, 0)),
                           metadata={'Set': 'Unflip/Flip', 'Def': 'Unflip/Flip',
                                     'State': 'Def'})
            elif key == '__REC_Def_Combo__':
                val.update(size=(12, 1), disabled=True,
                           default_value='None', pad=((8, 0), (8, 0)))
            elif key == '__REC_Derivative__':
                val.update(size=(16, 1), disabled=True,
                           default_value='Central Diff.', pad=((8, 0), (5, 0)))
            elif key == '__REC_Colorwheel__':
                val.update(size=(6, 1), disabled=True,
                           default_value='HSV', pad=((8, 0), (7, 0)))
            elif key == '__REC_Arrow_Color__':
                val.update(size=(3, 1), disabled=True,
                           default_value='On', pad=((0, 0), (7, 0))),
            # Checkbox Element
            elif key == '__REC_Symmetrize__':
                val.update(default=False, pad=((0, 0), (7, 0)))

            # Graph
            elif key == '__REC_Graph__':
                val.update(background_color='#808080', pad=pad(0, 0, 4, 0),
                           enable_events=True, drag_submits=True,
                           metadata={'size': (672, 672)})
            elif key == '__REC_Colorwheel_Graph__':
                val.update(background_color=theme_background,
                           pad=pad(5, 0, 4, 0), enable_events=True)

            # Image elements
            elif key == '__REC_FLS_Spinner__':
                val.update(filename=background_img, background_color=theme_background, pad=((5, 124), (0, 0)), size=(30, 30),
                           metadata={'Set': spinner_gif, 'Def': background_img,
                                     'State': 'Def'})
            elif key == '__REC_PYTIE_Spinner__':
                val.update(filename=background_img, background_color=theme_background, pad=((5, 5), (27, 0)),
                           metadata={'Set': spinner_gif, 'Def': background_img,
                                     'State': 'Def'})
            # Input field element
            elif key == '__REC_Stack__':
                val.update(size=(24, 1), use_readonly_for_disable=True,
                           disabled=True, pad=((0, 0), (5, 0)),
                           disabled_readonly_background_color='#A7A7A7',
                           metadata={'Set': 'None', 'Def': 'None',
                                     'State': 'Def'})
            elif key == '__REC_FLS1__':
                val.update(enable_events=True, use_readonly_for_disable=True,
                           disabled=True, size=(24, 1), pad=((10, 0), (5, 0)),
                           disabled_readonly_background_color='#A7A7A7',
                           metadata={'Set': 'None', 'Def': 'None', 'State': 'Def'})
            elif key == '__REC_FLS2__':
                val.update(enable_events=True, use_readonly_for_disable=True,
                           disabled=True, size=(24, 1), pad=((10, 0), (5, 0)),
                           disabled_readonly_background_color='#A7A7A7',
                           metadata={'Set': 'None', 'Def': 'None', 'State': 'Def'})
            elif key == '__REC_M_Volt__':
                val.update(size=(4, 1), enable_events=True, pad=((25, 0), (10, 0)),
                           font="Times 36", justification='right',
                           use_readonly_for_disable=True,
                           disabled_readonly_background_color='#A7A7A7')
            elif key == '__REC_transform_rot__':
                val.update(pad=(5, 5), size=(4, 1), disabled=True,
                           use_readonly_for_disable=True,
                           disabled_readonly_background_color='#A7A7A7')
            elif key == '__REC_transform_x__':
                val.update(pad=(5, 5), size=(4, 1), disabled=True,
                           use_readonly_for_disable=True,
                           disabled_readonly_background_color='#A7A7A7')
            elif key == '__REC_transform_y__':
                val.update(pad=(5, 5), size=(4, 1), disabled=True,
                           use_readonly_for_disable=True,
                           disabled_readonly_background_color='#A7A7A7')
            elif key == '__REC_Mask_Size__':
                val.update(disabled=True, enable_events=True,
                           pad=((30, 0), (0, 0)), size=(4, 1),
                           justification='right',
                           use_readonly_for_disable=True,
                           disabled_readonly_background_color='#A7A7A7')
            elif key == '__REC_QC_Input__':
                val.update(pad=((8, 0), (7, 0)), disabled=True,
                           size=(6, 1), justification='right',
                           use_readonly_for_disable=True,
                           disabled_readonly_background_color='#A7A7A7')
            elif key == '__REC_Arrow_Num__':
                val.update(justification='right', disabled=True,
                           use_readonly_for_disable=True,
                           disabled_readonly_background_color='#A7A7A7',
                           size=(3, 1), pad=((0, 0), (7, 0)))
            elif key == '__REC_Arrow_Len__':
                val.update(justification='right', disabled=True,
                           use_readonly_for_disable=True,
                           disabled_readonly_background_color='#A7A7A7',
                           size=(3, 1), pad=((0, 0), (7, 0)))
            elif key == '__REC_Arrow_Wid__':
                val.update(justification='right', disabled=True,
                           use_readonly_for_disable=True,
                           disabled_readonly_background_color='#A7A7A7',
                           size=(3, 1), pad=((0, 0), (7, 0)))
            elif key == '__REC_Image_Dir_Path__':
                val.update(size=(35, 1), pad=((2, 0), (7, 0)),
                           use_readonly_for_disable=True,
                           disabled_readonly_background_color='#A7A7A7')
            elif key == '__REC_Image__':
                val.update(background_color=theme_background, enable_events=True,
                           justification='center',
                           pad=((38, 0), (5, 0)), font='Times 20', size=(67, 1),
                           metadata={'Set': 'None', 'Def': 'None',
                                     'State': 'Def'})
            # Listbox element
            elif key == '__REC_Image_List__':
                val.update(default_values='Stack', select_mode='LISTBOX_SELECT_MODE_SINGLE',
                           size=(16, 5), no_scrollbar=True, disabled=True,
                           enable_events=True, pad=((9, 0), (7, 7)))
            elif key == '__REC_Def_List__':
                val.update(select_mode=None, size=(16, 3),
                           no_scrollbar=True, pad=((19, 0), (7, 7)),
                           metadata={'length': 1})
            # Radio element
            elif key == '__REC_Square_Region__':
                val.update(default=True, disabled=True, enable_events=True)
            elif key == '__REC_Rectangle_Region__':
                val.update(disabled=True, enable_events=True)
            # Slider element
            elif key == '__REC_Slider__':
                val.update(size=(40, 20), disable_number_display=True, pad=((10, 8), (80, 0)),
                           disabled=True, enable_events=True, orientation='vertical',
                           default_value=0, metadata={'slider_range': (0, 0)})
            elif key == '__REC_Image_Slider__':
                val.update(range=(0, 7), disable_number_display=True,
                           pad=((0, 0), (1, 0)), size=(7, 16),
                           enable_events=True, orientation='vertical',
                           default_value=7, metadata={'slider_range': (0, 7)})
            elif key == '__REC_Defocus_Slider__':
                val.update(range=(0, 0), disable_number_display=True,
                           pad=((0, 0), (1, 0)), size=(4, 16),
                           enable_events=True, orientation='vertical',
                           default_value=0, metadata={'slider_range': (0, 0)})
            # Text element
            elif key == '__REC_FLS1_Text__':
                val.update(pad=((5, 0), (5, 0)),
                           metadata={'Both': 'Both FLS', 'Single': '1 FLS',
                                     'Two': "Unflip FLS"})
            elif key == '__REC_FLS2_Text__':
                val.update(pad=((5, 0), (5, 0)),
                           metadata={'Both': '', 'Single': '',
                                     'Two': "Flip FLS"})
            return val

        # Check if key a part of tab
        # For correct key, return its style
        key_style = dict(key=key)
        if key.startswith("home"):
            key_style = home_style(key, key_style)
        elif key.startswith("__REC"):
            key_style = REC_style(key, key_style)
        return key_style