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#!/usr/bin/env python3
"""Generate map images from map files"""
import argparse
import pathlib
import os
from typing import Sequence, Tuple
import yaml
import cv2
import numpy
MAP_ROOT = pathlib.Path(os.getcwd())
TILES_DIR = MAP_ROOT / '../assets/tiles'
SHOW_MAP = False
Row = Sequence[str]
Tiles = Sequence[Row]
def get_tile_path(tile: str) -> pathlib.Path:
"""Return the corresponding image file name for a tile"""
return TILES_DIR / f'{tile.lower().replace(" ", "_")}.png'
def is_connected_to(tiles: Tiles,
x: int,
y: int,
kind=None) -> Tuple[bool, bool, bool, bool]:
is_kind = lambda tile: tile == kind if kind else tile != 'neutral'
row = tiles[y]
left = x > 0 and is_kind(row[x - 1])
right = x < len(row) - 1 and is_kind(row[x + 1])
above = y > 0 and is_kind(tiles[y - 1][x])
below = y < len(tiles) - 1 and is_kind(tiles[y + 1][x])
return left, right, above, below
def count_connections(left:bool , right:bool, above:bool, below:bool) -> int:
return len([b for b in [left, right, above, below] if b is True])
def find_street_tile(tiles: Tiles, x: int, y: int):
# find street continuations
left, right, above, below = is_connected_to(tiles, x, y, kind='street')
connections = count_connections(left, right, above, below)
if connections == 0:
# This street is not connected to another street ->
# check any other non neutral tiles
left, right, above, below = is_connected_to(tiles, x, y, kind=None)
connections = count_connections(left, right, above, below)
# This street is not connected to anything. Seams odd!
# Use a 4 way street
if connections == 0:
tile_img = cv2.imread(str(get_tile_path('street_4')))
# straight lines
elif connections == 1 or (connections == 2 and ((left and right) or
(above and below))):
tile_img = cv2.imread(str(get_tile_path('street')))
if above or below:
tile_img = numpy.rot90(tile_img)
# elbow
elif connections == 2:
# normal orientation above and right
tile_img = cv2.imread(str(get_tile_path('street_2')))
if right and below:
tile_img = numpy.rot90(tile_img, 3)
elif left and below:
tile_img = numpy.rot90(tile_img, 2)
elif above and left:
tile_img = numpy.rot90(tile_img)
elif connections == 3:
# normal orientation left above right
tile_img = cv2.imread(str(get_tile_path('street_3')))
if above and right and below:
tile_img = numpy.rot90(tile_img, 3)
elif left and below and right:
tile_img = numpy.rot90(tile_img, 2)
elif below and left and above:
tile_img = numpy.rot90(tile_img)
elif connections == 4:
tile_img = cv2.imread(str(get_tile_path('street_4')))
return tile_img
def find_wall_tile(tiles: Sequence[Sequence[str]], x: int, y: int):
# find wall continuations
left, right, above, below = is_connected_to(tiles, x, y, kind='wall')
connections = count_connections(left, right, above, below)
if connections == 0:
# This wall is not connected to another wall ->
# check any other non neutral tiles
left, right, above, below = is_connected_to(tiles, x, y, kind=None)
connections = count_connections(left, right, above, below)
# This wall is not connected to anything. Seams odd!
# Use default horizontal wall
if connections == 0:
tile_img = cv2.imread(str(get_tile_path('wall')))
# straight walls
elif connections == 1 or (connections == 2 and ((left and right) or
(above and below))):
if above or below:
tile_img = cv2.imread(str(get_tile_path('wall_h')))
else:
tile_img = cv2.imread(str(get_tile_path('wall')))
# elbow
elif connections == 2:
if above:
tile_img = cv2.imread(str(get_tile_path('wall_elbow_up')))
else:
tile_img = cv2.imread(str(get_tile_path('wall_elbow_down')))
if left:
tile_img = cv2.flip(tile_img, 1)
elif connections == 3 or connections == 4:
# We don't have wall tiles for those structures yet use default vertical wall
tile_img = cv2.imread(str(get_tile_path('wall')))
return tile_img
def find_gate_tile(tiles: Sequence[Sequence[str]], x: int, y: int):
# find wall continuations
left, right, above, below = is_connected_to(tiles, x, y, kind='wall')
connections = count_connections(left, right, above, below)
if connections == 0:
# This gate is not connected to a wall -> check towers next
left, right, above, below = is_connected_to(tiles, x, y, kind='tower')
connections = count_connections(left, right, above, below)
if connections == 0:
# If the gate is not connected to any fortification structure use default tile
return cv2.imread(str(get_tile_path('gate')))
# straight gates are the only special gates we have
if connections == 2 and ((left and right) or (above and below)):
if above or below:
tile_img = cv2.imread(str(get_tile_path('gate')))
else:
tile_img = cv2.imread(str(get_tile_path('gate_wall_h')))
else:
tile_img = cv2.imread(str(get_tile_path('gate')))
return tile_img
def generate_img(map_path: pathlib.Path):
"""Generate a image from a map file"""
with open(map_path, 'r') as map_file:
map_definition = yaml.full_load(map_file)
# remove the trailing new line
map_string = map_definition['map'][:-1]
# ensure that all keys are actually strings
symbols = {str(k): v for k, v in map_definition['symbols'].items()}
# build up tiles
tiles = []
for line in map_string.splitlines():
row = []
for symbol in line:
tile = "neutral"
if symbol != ' ':
if symbol not in symbols:
print(f'WARNING unknown symbol "{symbol}"')
else:
tile = symbols[symbol]
row.append(tile)
tiles.append(row)
rows_imgs = []
for y, row in enumerate(tiles):
tile_imgs = []
for x, tile in enumerate(row):
# find the right street and rotation
if tile == 'street':
tile_img = find_street_tile(tiles, x, y)
elif tile == 'wall':
tile_img = find_wall_tile(tiles, x, y)
elif tile == 'gate':
tile_img = find_gate_tile(tiles, x, y)
else:
tile_img = cv2.imread(str(get_tile_path(tile)))
tile_imgs.append(tile_img)
row_img = cv2.hconcat(tile_imgs)
rows_imgs.append(row_img)
map_img = cv2.vconcat(rows_imgs)
if SHOW_MAP:
cv2.imshow(f'{map_path.stem}.png', map_img)
cv2.waitKey(0)
cv2.imwrite(f'{map_path.stem}.png', map_img)
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description='generate latex standalone cards')
parser.add_argument('map_input',
help='map file or directory containing map files')
parser.add_argument('--map-root', help='path to the map root directory')
parser.add_argument('--show-map',
help='show the generated map',
action='store_true')
args = parser.parse_args()
if args.map_root:
MAP_ROOT = pathlib.Path(args.latex_root)
TILES_DIR = MAP_ROOT / '../assets/tiles'
if args.show_map:
SHOW_MAP = True
map_path = pathlib.Path(args.map_input)
map_files = [map_path]
if map_path.is_dir():
map_files = map_path.glob('*.yml')
for m in map_files:
generate_img(m)
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