mirror of
https://github.com/enzet/map-machine.git
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300 lines
9.2 KiB
Python
300 lines
9.2 KiB
Python
"""Point: node representation on the map."""
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import logging
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from typing import Optional
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import numpy as np
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import svgwrite
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from colour import Color
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from map_machine.drawing import draw_text
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from map_machine.map_configuration import LabelMode
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from map_machine.osm.osm_reader import Tagged
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from map_machine.pictogram.icon import Icon, IconSet
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from map_machine.text import Label
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__author__ = "Sergey Vartanov"
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__email__ = "me@enzet.ru"
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class Occupied:
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"""
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Structure that remembers places of the canvas occupied by elements (icons,
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texts, shapes).
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"""
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def __init__(self, width: int, height: int, overlap: int) -> None:
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self.matrix = np.full((int(width), int(height)), False, dtype=bool)
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try:
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self.matrix = np.full((int(width), int(height)), False, dtype=bool)
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except Exception:
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logging.fatal(
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"Failed to allocate a matrix required by overlap algorithm. "
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"Try to use smallest area or try --overlap=0 options."
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)
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exit(1)
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self.width: float = width
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self.height: float = height
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self.overlap: int = overlap
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def check(self, point: np.ndarray) -> bool:
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"""Check whether point is already occupied by other elements."""
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if 0.0 <= point[0] < self.width and 0.0 <= point[1] < self.height:
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return self.matrix[point[0], point[1]]
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return True
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def register(self, point: np.ndarray) -> None:
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"""Register that point is occupied by an element."""
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if 0.0 <= point[0] < self.width and 0.0 <= point[1] < self.height:
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self.matrix[point[0], point[1]] = True
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assert self.matrix[point[0], point[1]]
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class Point(Tagged):
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"""
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Object on the map with no dimensional attributes.
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It may have icons and labels.
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"""
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def __init__(
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self,
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icon_set: IconSet,
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labels: list[Label],
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tags: dict[str, str],
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processed: set[str],
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point: np.ndarray,
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priority: float = 0.0,
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is_for_node: bool = True,
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draw_outline: bool = True,
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add_tooltips: bool = False,
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) -> None:
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super().__init__(tags)
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assert point is not None
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self.icon_set: IconSet = icon_set
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self.labels: list[Label] = labels
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self.processed: set[str] = processed
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self.point: np.ndarray = point
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self.priority: float = priority
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self.layer: float = 0.0
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self.is_for_node: bool = is_for_node
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self.draw_outline: bool = draw_outline
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self.add_tooltips: bool = add_tooltips
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self.y: float = 0.0
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self.main_icon_painted: bool = False
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def draw_main_shapes(
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self, svg: svgwrite.Drawing, occupied: Optional[Occupied] = None
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) -> None:
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"""Draw main shape for one node."""
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keys_left = [x for x in self.tags.keys() if x not in self.processed]
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if (
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self.icon_set.main_icon.is_default()
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and not self.icon_set.extra_icons
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and (not keys_left or not self.is_for_node)
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):
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return
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position: np.ndarray = self.point + np.array((0.0, self.y))
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tags: Optional[dict[str, str]] = (
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self.tags if self.add_tooltips else None
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)
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self.main_icon_painted: bool = self.draw_point_shape(
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svg,
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self.icon_set.main_icon,
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self.icon_set.default_icon,
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position,
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occupied,
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tags=tags,
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)
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if self.main_icon_painted:
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self.y += 16.0
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def draw_extra_shapes(
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self, svg: svgwrite.Drawing, occupied: Optional[Occupied] = None
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) -> None:
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"""Draw secondary shapes."""
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if not self.icon_set.extra_icons or not self.main_icon_painted:
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return
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is_place_for_extra: bool = True
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if occupied:
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left: float = -(len(self.icon_set.extra_icons) - 1.0) * 8.0
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for _ in self.icon_set.extra_icons:
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point: np.ndarray = np.array(
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(int(self.point[0] + left), int(self.point[1] + self.y))
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)
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if occupied.check(point):
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is_place_for_extra = False
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break
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left += 16.0
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if is_place_for_extra:
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left: float = -(len(self.icon_set.extra_icons) - 1.0) * 8.0
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for icon in self.icon_set.extra_icons:
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point: np.ndarray = self.point + np.array((left, self.y))
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self.draw_point_shape(svg, icon, None, point, occupied=occupied)
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left += 16.0
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if self.icon_set.extra_icons:
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self.y += 16.0
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def draw_point_shape(
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self,
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svg: svgwrite.Drawing,
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icon: Icon,
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default_icon: Optional[Icon],
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position: np.ndarray,
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occupied: Optional[Occupied],
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tags: Optional[dict[str, str]] = None,
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) -> bool:
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"""Draw one combined icon and its outline."""
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# Down-cast floats to integers to make icons pixel-perfect.
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position: np.ndarray = np.array((int(position[0]), int(position[1])))
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icon_to_draw: Icon = icon
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is_painted: bool = True
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if occupied and occupied.check(position):
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if default_icon:
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icon_to_draw = default_icon
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is_painted = False
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else:
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return False
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if self.draw_outline:
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icon_to_draw.draw(svg, position, outline=True)
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icon_to_draw.draw(svg, position, tags=tags)
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if occupied and is_painted:
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overlap: int = occupied.overlap
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for i in range(-overlap, overlap):
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for j in range(-overlap, overlap):
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occupied.register(
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np.array((position[0] + i, position[1] + j))
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)
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return is_painted
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def draw_texts(
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self,
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svg: svgwrite.Drawing,
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occupied: Optional[Occupied] = None,
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label_mode: LabelMode = LabelMode.MAIN,
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) -> None:
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"""Draw all labels."""
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labels: list[Label]
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if label_mode == LabelMode.MAIN:
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labels = self.labels[:1]
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elif label_mode == LabelMode.ALL:
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labels = self.labels
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else:
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return
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for label in labels:
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text = label.text
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text = text.replace(""", '"')
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text = text.replace("&", "&")
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text = text[:26] + ("..." if len(text) > 26 else "")
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point = self.point + np.array((0.0, self.y + 2.0))
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self.draw_text(
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svg,
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text,
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point,
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occupied,
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label.fill,
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label.size,
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label.out_fill,
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)
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def draw_text(
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self,
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svg: svgwrite.Drawing,
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text: str,
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point: np.ndarray,
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occupied: Optional[Occupied],
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fill: Color,
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size: float,
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out_fill: Color,
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out_opacity: float = 0.5,
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out_fill_2: Optional[Color] = None,
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out_opacity_2: float = 1.0,
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is_debug: bool = False,
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) -> None:
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"""
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Drawing text.
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###### ### outline 2
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#------# --- outline 1
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#| Text |#
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#------#
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######
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"""
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length: int = len(text) * 6 # FIXME
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if occupied:
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is_occupied: bool = False
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for i in range(-int(length / 2.0), int(length / 2.0)):
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text_position: np.ndarray = np.array(
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(int(point[0] + i), int(point[1] - 4.0))
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)
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if occupied.check(text_position):
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is_occupied = True
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break
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if is_occupied:
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return
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for i in range(-int(length / 2.0), int(length / 2.0)):
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for j in range(-12, 5):
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occupied.register(
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np.array((int(point[0] + i), int(point[1] + j)))
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)
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if is_debug:
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svg.add(svg.rect((point[0] + i, point[1] + j), (1, 1)))
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if out_fill_2:
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draw_text(
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svg,
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text,
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point,
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size,
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fill=out_fill_2,
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stroke_width=5.0,
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stroke=out_fill_2,
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opacity=out_opacity_2,
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)
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if out_fill:
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draw_text(
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svg,
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text,
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point,
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size,
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fill,
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stroke_width=3.0,
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stroke=out_fill,
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opacity=out_opacity,
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)
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draw_text(svg, text, point, size, fill)
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self.y += 11
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def get_size(self) -> np.ndarray:
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"""
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Get width and height of the point visual representation if there is
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space for all elements.
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"""
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icon_size: int = 16
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width: int = icon_size * (
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1 + max(2, len(self.icon_set.extra_icons) - 1)
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)
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height: int = icon_size * (
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1 + np.ceil(len(self.icon_set.extra_icons) / 3.0)
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)
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if len(self.labels):
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height += 4 + 11 * len(self.labels)
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return np.array((width, height))
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