Inteligentna_smieciarka/map.py

import pygame as pg
import random
from request import Request


STRAIGHT_IMG = pg.image.load("Tiles/Straight.jpg")
STRAIGHT_VERTICAL = pg.transform.scale(STRAIGHT_IMG, (50, 50))
STRAIGHT_HORIZONTAL = pg.transform.rotate(STRAIGHT_VERTICAL, 270)
BASE_IMG = pg.image.load("Tiles/Base.jpg")
BASE = pg.transform.scale(BASE_IMG, (50, 50))
BEND_IMG = pg.image.load("Tiles/Bend.jpg")
BEND1 = pg.transform.scale(BEND_IMG, (50, 50))
BEND2 = pg.transform.rotate(BEND1, 90)
BEND3 = pg.transform.rotate(pg.transform.flip(pg.transform.rotate(BEND1, 180), True, True), 180)
BEND4 = pg.transform.rotate(BEND1, -90)
INTERSECTION_IMG = pg.image.load("Tiles/Intersection.jpg")
INTERSECTION = pg.transform.scale(INTERSECTION_IMG, (50, 50))
JUNCTION_IMG = pg.image.load("Tiles/Junction.jpg")
JUNCTION_SOUTH = pg.transform.scale(JUNCTION_IMG, (50, 50))
JUNCTION_NORTH = pg.transform.rotate(pg.transform.flip(JUNCTION_SOUTH, True, False), 180)
JUNCTION_EAST = pg.transform.rotate(JUNCTION_SOUTH, -90)
JUNCTION_WEST = pg.transform.rotate(JUNCTION_SOUTH, 90)
END_IMG = pg.image.load("Tiles/End.jpg")
END1 = pg.transform.flip(pg.transform.rotate(pg.transform.scale(END_IMG, (50, 50)), 180), False, True)
END2 = pg.transform.rotate(END1, 90)
DIRT_IMG = pg.image.load("Tiles/dirt.jpg")
DIRT = pg.transform.scale(DIRT_IMG, (50, 50))
GRASS_IMG = pg.image.load("Tiles/grass.png")
GRASS = pg.transform.scale(GRASS_IMG, (50, 50))
SAND_IMG = pg.image.load("Tiles/sand.jpeg")
SAND = pg.transform.scale(SAND_IMG, (50, 50))
COBBLE_IMG = pg.image.load("Tiles/cobble.jpeg")
COBBLE = pg.transform.scale(COBBLE_IMG, (50, 50))


def randomize_map():  # tworzenie mapy z losowymi polami
    request_list = []
    field_array_1 = []
    field_array_2 = []
    imgpath_array = [[0 for x in range(16)] for x in range(16)]
    field_priority = []
    map_array = [['b',  'sh', 'sh', 'sh', 'sh', 'jw', 'sh', 'sh', 'sh', 'sh', 'jw', 'sh', 'sh', 'sh', 'b3', 'g'],
                 ['sv',  'g',  'g',  'g',  'g', 'sv',  'g',  'g',  'g',  'g', 'sv',  'g',  'g',  'g', 'sv', 'g'],
                 ['sv',  'g',  'g',  'g',  'g', 'sv',  'g',  'g',  'g',  'g', 'sv',  'g', 'gr',  'g', 'sv', 'g'],
                 ['js', 'sh', 'sh', 'sh', 'sh',  'i', 'sh', 'sh', 'sh', 'sh', 'jn',  'g', 'gr',  'g', 'sv', 'g'],
                 ['sv',  'g',  'g',  'g',  'g', 'sv',  'g',  'g',  'g',  'g', 'sv',  'g', 'gr',  'g', 'sv', 'g'],
                 ['sv',  'g', 'gr', 'gr',  'g', 'sv',  'g',  'g',  'g',  'g', 'sv',  'g',  'g',  'g', 'sv', 'g'],
                 ['sv',  'g', 'gr', 'gr',  'g', 'js', 'sh', 'sh', 'sh', 'sh',  'i', 'sh', 'sh', 'sh', 'jn', 'g'],
                 ['sv',  'g',  'g',  'g',  'g', 'sv',  'g',  'g',  'g',  'g', 'sv',  'g',  'g',  'g', 'sv', 'g'],
                 ['b1', 'sh', 'jw', 'sh', 'sh', 'jn',  'g', 'gr', 'gr',  'g', 'sv',  'g', 'gr',  'g', 'sv', 'g'],
                 ['g',   'g', 'sv',  'g',  'g', 'sv',  'g', 'gr', 'gr',  'g', 'sv',  'g',  'g',  'g', 'sv', 'g'],
                 ['gr',  'g', 'sv',  'g',  'g', 'sv',  'g', 'gr', 'gr',  'g', 'js', 'sh', 'sh', 'sh', 'jn', 'g'],
                 ['gr',  'g', 'sv',  'g',  'g', 'sv',  'g',  'g',  'g',  'g', 'sv',  'g',  'g',  'g', 'sv', 'g'],
                 ['gr',  'g', 'js', 'sh', 'sh',  'i', 'sh', 'sh', 'sh', 'sh', 'jn',  'g', 'gr',  'g', 'sv', 'g'],
                 ['gr',  'g', 'sv',  'g',  'g', 'sv',  'g', ' g',  'g',  'g', 'sv',  'g', 'gr',  'g', 'sv', 'g'],
                 ['gr',  'g', 'sv',  'g',  'g', 'sv',  'g',  'g',  'g',  'g', 'sv',  'g',  'g',  'g', 'sv', 'g'],
                 ['gr',  'g', 'b1', 'sh', 'sh', 'je', 'sh', 'sh', 'sh', 'sh', 'je', 'sh', 'sh', 'sh', 'b4', 'g'],
                 ]

    for i in range(16):
        temp_priority = []
        for j in range(16):
            if map_array[i][j] == 'b':
                field_array_2.append(BASE)
                temp_priority.append(1)
            elif map_array[i][j] == 'b3':
                field_array_2.append(BEND3)
                temp_priority.append(1)
            elif map_array[i][j] == 'b4':
                field_array_2.append(BEND4)
                temp_priority.append(1)
            elif map_array[i][j] == 'b1':
                field_array_2.append(BEND1)
                temp_priority.append(1)
            elif map_array[i][j] == 'sh':
                field_array_2.append(STRAIGHT_VERTICAL)
                temp_priority.append(1)
            elif map_array[i][j] == 'sv':
                field_array_2.append(STRAIGHT_HORIZONTAL)
                temp_priority.append(1)
            elif map_array[i][j] == 'i':
                field_array_2.append(INTERSECTION)
                temp_priority.append(1)
            elif map_array[i][j] == 'je':
                field_array_2.append(JUNCTION_EAST)
                temp_priority.append(1)
            elif map_array[i][j] == 'jw':
                field_array_2.append(JUNCTION_WEST)
                temp_priority.append(1)
            elif map_array[i][j] == 'js':
                field_array_2.append(JUNCTION_SOUTH)
                temp_priority.append(1)
            elif map_array[i][j] == 'jn':
                field_array_2.append(JUNCTION_NORTH)
                temp_priority.append(1)
            elif map_array[i][j] == 'gr':
                field_array_2.append(BASE)
                temp_priority.append(1000)
            else:
                prob = random.uniform(0, 100)
                if 0 <= prob <= 20:
                    garbage_type = random.choice(['glass', 'mixed', 'paper', 'plastic'])
                    garbage_image_number = random.randrange(1, 100)
                    GARBAGE_IMG = pg.image.load(
                        f"./model_training/test_dataset/{garbage_type}/{garbage_type} ({str(garbage_image_number)}).jpg")
                    GARBAGE = pg.transform.scale(GARBAGE_IMG, (50, 50))
                    field_array_2.append(GARBAGE)
                    imgpath_array[i][j] = (
                        f"./model_training/test_dataset/{garbage_type}/{garbage_type} ({str(garbage_image_number)}).jpg")

                    temp_priority.append(100)
                    request_list.append(Request(
                        i * 50, j * 50,  # lokacja
                        random.randint(0, 3),  # typ śmieci
                        random.random(),  # objętość śmieci
                        random.randint(0, 30),  # ostatni odbiór
                        random.randint(0, 1),  # czy opłacone w terminie
                        random.random() * 10,  # intensywność odoru
                        random.random() * 50  # waga śmieci
                    ))
                else:
                    field_array_2.append(BASE)
                    temp_priority.append(1000)
        field_array_1.append(field_array_2)
        field_array_2 = []
        field_priority.append(temp_priority)
    return field_array_1, field_priority, request_list, imgpath_array