Sztuczna_Inteligencja_2020/main.py

import secrets
import sys
from random import randrange

from src.decisionTree import *

from src.SubprojectMaksymilianKierski.PlateRecognition import use_model_to_predict, text_speech

if __name__ == "__main__":
    # SETUP
    pygame.init()
    clock = pygame.time.Clock()
    graphics = Graphics()
    waiter = Waiter(graphics)
    tree = DecisionTree()

    # init functions
    graphics.drawBackground(waiter.matrix)
    graphics.update(waiter)

    goal = None
    path = ''

    go = 0
    while True:

        for event in pygame.event.get():
            # rabbit.check(waiter.matrix, waiter.X, waiter.Y)
            if event.type == pygame.QUIT:
                pygame.quit()
                sys.exit()
                break

            if event.type == pygame.KEYDOWN:
                if event.key == pygame.K_ESCAPE:
                    pygame.quit()
                    sys.exit()
                    break

                if event.key == pygame.K_s:
                    tree.TasksList('check', [10, 3])
                    tree.TasksList('eat', [5, 12])
                    tree.TasksList('order', [12, 4])
                    tree.TasksList('goToBar', [10, 10])
                    tree.TasksList('check', [3, 4])
                    tree.TasksList('eat', [10, 5])
                    tree.print()

                if event.key == pygame.K_m:

                    tabPos = [[1, 2], [1, 5], [1, 8], [5, 4], [5, 8], [8, 2], [8, 5], [8, 8], [12, 3], [12, 7]]
                    rand = randrange(8)

                    if not [waiter.X, waiter.Y] in tabPos or go == 0:
                        if [waiter.X, waiter.Y] in tabPos:
                            model = 'waiter_' + waiter.direction
                            graphics.clear(waiter.X, waiter.Y - 1)
                        # save_dataset()
                        x = tabPos[rand][0]
                        y = tabPos[rand][1]

                        goal = (x, y)
                        path = waiter.findPath(goal)
                        path = waiter.translatePath(path)

                        go = 1
                    else:
                        predict = use_model_to_predict('test-{}'.format(rand))

                        if predict == 1:
                            predict = 'EMPTY'
                        else:
                            predict = 'FOOD'

                        text_speech('arialnarrow.ttf', 25, predict, (255, 255, 255), (0, 128, 0),
                                    (waiter.X * 50 + 25), (waiter.Y * 50 - 25), False, False, screen=graphics.screen)
                        pygame.display.flip()
                        go = 0
                if event.key == pygame.K_r:
                    temp = False
                    while not temp:
                        x = secrets.randbelow(graphics.width)
                        y = secrets.randbelow(graphics.height)
                        print(x, y)

                        if waiter.matrix.matrix[x][y].walk_through == 1:
                            temp = True

                    goal = (x, y)
                    path = waiter.findPath(goal)
                    path = waiter.translatePath(path)

        if path != '':
            nextStep = path[0]
            path = path[1:]
            waiter.travel(nextStep, graphics)

        pygame.display.flip()
        clock.tick(graphics.fps)