Sztuczna_Inteligencja_2020/main.py
Marcin Dobrowolski 9f44a715cf gówno
2020-06-08 18:09:09 +02:00

172 lines
5.6 KiB
Python

import secrets
import sys
from random import randrange
from src.decisionTree import *
from src.SubprojectMaksymilianKierski.PlateRecognition import use_model_to_predict, text_speech
# Marcin Dobrowolski
from src.SubprojectMarcinDobrowolski.suggestionDecisionTree import *
from src.SubprojectMarcinDobrowolski.utility import generateTestData, generateTestExample
from src.guest import *
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)
# AStar
goal = None
path = ''
#Dominik
check = 0
queue = []
# Marcin Dobrowolski
suggestionTreeRoot = SuggestionTree.buildTree(trainingData)
newGuests = []
actions = []
# Maksymilian
go = 0
rand = 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', [2,3])
tree.TasksList('eat', [9, 6])
tree.TasksList('order', [4, 8])
tree.TasksList('goToBar', [11, 4])
tree.TasksList('check', [2, 9])
tree.TasksList('eat', [1, 1])
queue = tree.ReturnQueueList()
tree.print()
check = 1
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]]
if not [waiter.X, waiter.Y] in tabPos or go == 0:
if [waiter.X, waiter.Y] in tabPos:
model = 'waiter_' + waiter.direction
for x in range(-1, 2):
waiterX = waiter.X + (x * 0.1)
print(waiterX)
graphics.clear(waiterX, waiter.Y - 1)
rand = randrange(9)
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
# Marcin Dobrowolski
if event.key == pygame.K_0:
newGuests.append(Guest(graphics))
# Marcin Dobrowolski
if event.key == pygame.K_1:
guest = newGuests[0]
goal = [0, 0]
if guest.cord[0] == 2 or guest.cord[1] == 9:
goal[0] = guest.cord[0] - 1
goal[1] = guest.cord[1]
else:
goal[0] = guest.cord[0] + 1
goal[1] = guest.cord[1]
actions.append(('takeOrder', goal))
print(actions)
# AStar
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)
# Dominik
if check == 1:
task = queue.pop(0)
goal = (task[2][0], task[2][1])
print(goal)
path = waiter.findPath(goal)
print(path)
path = waiter.translatePath(path)
print(path)
check = 0
if len(queue) != 0 and check == 0 and path == '':
check = 1
# AStar
if path == '' and actions:
print('Goal: {}'.format(actions[0][1]))
path = waiter.findPath(actions[0][1])
print('Path: {}'.format(path))
path = waiter.translatePath(path)
print('Translated path: {}'.format(path))
if path != '':
nextStep = path[0]
path = path[1:]
waiter.travel(nextStep, graphics)
if path == '':
action = actions.pop(0)
if action[0] == 'takeOrder':
guest = newGuests.pop(0)
waiter.takeOrder(suggestionTreeRoot, guest)
graphics.clearGuest(guest)
tables.append(guest.cord)
pygame.display.flip()
clock.tick(graphics.fps)