""" Icon grid drawing. """ import logging from dataclasses import dataclass from pathlib import Path from typing import Optional, Union import numpy as np from colour import Color from svgwrite import Drawing from svgwrite.shapes import Rect from map_machine.icon import Icon, Shape, ShapeExtractor, ShapeSpecification from map_machine.scheme import NodeMatcher, Scheme from map_machine.workspace import workspace __author__ = "Sergey Vartanov" __email__ = "me@enzet.ru" @dataclass class IconCollection: """ Collection of icons. """ icons: list[Icon] @classmethod def from_scheme( cls, scheme: Scheme, extractor: ShapeExtractor, background_color: Color = Color("white"), color: Color = Color("black"), add_unused: bool = False, add_all: bool = False, ) -> "IconCollection": """ Collect all possible icon combinations in grid. :param scheme: tag specification :param extractor: shape extractor for icon creation :param background_color: background color :param color: icon color :param add_unused: create icons from shapes that have no corresponding tags :param add_all: create icons from all possible shapes including parts """ icons: list[Icon] = [] def add() -> Icon: """Construct icon and add it to the list.""" specifications: list[ShapeSpecification] = [ scheme.get_shape_specification(x, extractor) for x in current_set ] constructed_icon: Icon = Icon(specifications) constructed_icon.recolor(color, white=background_color) if constructed_icon not in icons: icons.append(constructed_icon) return constructed_icon current_set: list[Union[str, dict[str, str]]] for matcher in scheme.node_matchers: matcher: NodeMatcher if matcher.shapes: current_set = matcher.shapes add() if matcher.add_shapes: current_set = matcher.add_shapes add() if not matcher.over_icon: continue if matcher.under_icon: for icon_id in matcher.under_icon: current_set = [icon_id] + matcher.over_icon add() if not (matcher.under_icon and matcher.with_icon): continue for icon_id in matcher.under_icon: for icon_2_id in matcher.with_icon: current_set: list[str] = ( [icon_id] + [icon_2_id] + matcher.over_icon ) add() for icon_2_id in matcher.with_icon: for icon_3_id in matcher.with_icon: current_set = ( [icon_id] + [icon_2_id] + [icon_3_id] + matcher.over_icon ) if ( icon_2_id != icon_3_id and icon_2_id != icon_id and icon_3_id != icon_id ): add() specified_ids: set[str] = set() for icon in icons: specified_ids |= set(icon.get_shape_ids()) if add_unused: for shape_id in extractor.shapes.keys() - specified_ids: shape: Shape = extractor.get_shape(shape_id) if shape.is_part: continue icon: Icon = Icon([ShapeSpecification(shape)]) icon.recolor(color) icons.append(icon) if add_all: for shape_id in extractor.shapes.keys(): shape: Shape = extractor.get_shape(shape_id) icon: Icon = Icon([ShapeSpecification(shape)]) icon.recolor(color) icons.append(icon) return cls(icons) def draw_icons( self, output_directory: Path, by_name: bool = False, color: Optional[Color] = None, outline: bool = False, outline_opacity: float = 1.0, ) -> None: """ :param output_directory: path to the directory to store individual SVG files for icons :param by_name: use names instead of identifiers :param color: fill color :param outline: if true, draw outline beneath the icon :param outline_opacity: opacity of the outline """ if by_name: def get_file_name(x: Icon) -> str: """Generate human-readable file name.""" return f"Röntgen {' + '.join(x.get_names())}.svg" else: def get_file_name(x: Icon) -> str: """Generate file name with unique identifier.""" return f"{'___'.join(x.get_shape_ids())}.svg" for icon in self.icons: icon.draw_to_file( output_directory / get_file_name(icon), color=color, outline=outline, outline_opacity=outline_opacity, ) def draw_grid( self, file_name: Path, columns: int = 16, step: float = 24, background_color: Color = Color("white"), ) -> None: """ Draw icons in the form of table. :param file_name: output SVG file name :param columns: number of columns in grid :param step: horizontal and vertical distance between icons in grid :param background_color: background color """ point: np.ndarray = np.array((step / 2, step / 2)) width: float = step * columns height: int = int(int(len(self.icons) / (width / step) + 1) * step) svg: Drawing = Drawing(str(file_name), (width, height)) svg.add(svg.rect((0, 0), (width, height), fill=background_color.hex)) for icon in self.icons: icon: Icon rectangle: Rect = svg.rect( point - np.array((10, 10)), (20, 20), fill=background_color.hex ) svg.add(rectangle) icon.draw(svg, point) point += np.array((step, 0)) if point[0] > width - 8: point[0] = step / 2 point += np.array((0, step)) height += step with file_name.open("w") as output_file: svg.write(output_file) def __len__(self) -> int: return len(self.icons) def sort(self) -> None: """Sort icon list.""" self.icons = sorted(self.icons) def draw_icons() -> None: """ Draw all possible icon shapes combinations as grid in one SVG file and as individual SVG files. """ scheme: Scheme = Scheme(workspace.DEFAULT_SCHEME_PATH) extractor: ShapeExtractor = ShapeExtractor( workspace.ICONS_PATH, workspace.ICONS_CONFIG_PATH ) collection: IconCollection = IconCollection.from_scheme( scheme, extractor, add_all=True ) icon_grid_path: Path = workspace.get_icon_grid_path() collection.draw_grid(icon_grid_path) logging.info(f"Icon grid is written to {icon_grid_path}.") icons_by_id_path: Path = workspace.get_icons_by_id_path() icons_by_name_path: Path = workspace.get_icons_by_name_path() collection.draw_icons(icons_by_id_path) collection.draw_icons(icons_by_name_path, by_name=True) logging.info( f"Icons are written to {icons_by_name_path} and {icons_by_id_path}." )