""" Icon grid drawing. """ from dataclasses import dataclass from pathlib import Path from typing import List, Set import numpy as np from colour import Color from svgwrite import Drawing from roentgen.icon import Icon, ShapeExtractor, ShapeSpecification from roentgen.scheme import Scheme __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 ) -> "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 """ icons: List[Icon] = [] def add() -> None: """ Construct icon and add it to the list. """ specifications = [ ShapeSpecification.from_structure(x, extractor, scheme) 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) for matcher in scheme.node_matchers: 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: icon = Icon([ShapeSpecification(extractor.get_shape(shape_id))]) icon.recolor(color) icons.append(icon) return cls(icons) def draw_icons(self, output_directory: Path, by_name: bool = False): """ :param output_directory: path to the directory to store individual SVG files for icons """ if by_name: def get_file_name(x): return f"Röntgen {' + '.join(x.get_names())}.svg" else: def get_file_name(x): return f"{'___'.join(x.get_shape_ids())}.svg" for icon in self.icons: icon.draw_to_file(output_directory / get_file_name(icon)) def draw_grid( self, file_name: Path, columns: int = 16, step: float = 24, background_color: Color = Color("white"), ): """ 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.array = 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 = 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)