1st part AStar implementation
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src/__pycache__/__init__.cpython-38.pyc
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src/__pycache__/__init__.cpython-38.pyc
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src/__pycache__/graphics.cpython-38.pyc
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src/__pycache__/graphics.cpython-38.pyc
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src/__pycache__/matrix.cpython-38.pyc
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src/__pycache__/matrix.cpython-38.pyc
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src/__pycache__/tile.cpython-38.pyc
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src/__pycache__/tile.cpython-38.pyc
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src/__pycache__/waiter.cpython-38.pyc
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src/__pycache__/waiter.cpython-38.pyc
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@ -4,16 +4,16 @@ import pygame
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class Graphics:
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def __init__(self):
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self.image = {
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'floor': pygame.image.load('../resources/images/floor.jpg'),
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'wall': pygame.image.load('../resources/images/wall.png'), #
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'bar': pygame.image.load('../resources/images/table3.png'), #
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'bar_floor': pygame.image.load('../resources/images/waiter.png'),
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'table': pygame.image.load('../resources/images/table3.png'),
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'waiter': pygame.image.load('../resources/images/waiter.png'),
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'chair_front': pygame.image.load('../resources/images/chair-front.png'), #
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'chair_back': pygame.image.load('../resources/images/chair-back.png'), #
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'chair_left': pygame.image.load('../resources/images/chair-left.png'), #
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'chair_right': pygame.image.load('../resources/images/chair-right.png') #
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'floor': pygame.image.load('/Users/marcindobrowolski/Desktop/Python/Sztuczna_Inteligencja_2020/resources/images/floor.jpg'),
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'wall': pygame.image.load('/Users/marcindobrowolski/Desktop/Python/Sztuczna_Inteligencja_2020/resources/images/wall.png'), #
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'bar': pygame.image.load('/Users/marcindobrowolski/Desktop/Python/Sztuczna_Inteligencja_2020/resources/images/table3.png'), #
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'bar_floor': pygame.image.load('/Users/marcindobrowolski/Desktop/Python/Sztuczna_Inteligencja_2020/resources/images/waiter.png'),
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'table': pygame.image.load('/Users/marcindobrowolski/Desktop/Python/Sztuczna_Inteligencja_2020/resources/images/table3.png'),
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'waiter': pygame.image.load('/Users/marcindobrowolski/Desktop/Python/Sztuczna_Inteligencja_2020/resources/images/waiter.png'),
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'chair_front': pygame.image.load('/Users/marcindobrowolski/Desktop/Python/Sztuczna_Inteligencja_2020/resources/images/chair-front.png'), #
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'chair_back': pygame.image.load('/Users/marcindobrowolski/Desktop/Python/Sztuczna_Inteligencja_2020/resources/images/chair-back.png'), #
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'chair_left': pygame.image.load('/Users/marcindobrowolski/Desktop/Python/Sztuczna_Inteligencja_2020/resources/images/chair-left.png'), #
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'chair_right': pygame.image.load('/Users/marcindobrowolski/Desktop/Python/Sztuczna_Inteligencja_2020/resources/images/chair-right.png') #
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}
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self.block_size = 50
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self.height = 15
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@ -1,4 +1,4 @@
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from src.tile import Tile
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from .tile import Tile
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class Matrix:
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@ -13,10 +13,11 @@ class Matrix:
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for x in range(graphics.width):
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for y in range(graphics.height):
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self.matrix[x][y] = Tile(type_='floor')
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self.matrix[x][y] = Tile('floor', x, y)
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def set_default_restaurant(self, graphics):
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lines = [line.rstrip('\n') for line in open('../resources/simulations/simulation_1.txt')]
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lines = [line.rstrip('\n') for line in open(
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'/Users/marcindobrowolski/Desktop/Python/Sztuczna_Inteligencja_2020/resources/simulations/simulation_1.txt')]
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symbols = {
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'_': 'floor',
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'W': 'wall',
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@ -33,7 +34,7 @@ class Matrix:
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for x in range(graphics.width):
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for y in range(graphics.height):
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sign = lines[y][x]
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self.matrix[x][y] = Tile(symbols[sign])
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self.matrix[x][y] = Tile(symbols[sign], x, y)
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def get_type(self, x, y):
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return self.matrix[x][y].type
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16
src/tile.py
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src/tile.py
@ -1,6 +1,6 @@
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# TILE
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class Tile:
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def __init__(self, type_):
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def __init__(self, type_, x, y):
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self.type = type_
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if self.type == 'wall':
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@ -15,3 +15,17 @@ class Tile:
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self.action_required = 0
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# Atrybuty niezbedne dla A*
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self.position = (x, y)
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self.parent = None
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self.totalCost = 0 # Koszt totalny czyli dystans do wierzcholka startowego + heurystyka
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self.startCost = 0 # Dystans do wierzcholka startowego
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# Dystant do wierzcholka koncowego oszacowany za pomoca funkcji heurystyki
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self.heuristic = 0
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# Operator porownywania pol
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def __eq__(self, other):
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return True if (self.position == other.position) else False
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# dodanie atrybutu x i y do klasy Tile
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@ -1,6 +1,6 @@
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import pygame
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from src.matrix import Matrix
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from .matrix import Matrix
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# WAITER
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@ -11,6 +11,7 @@ class Waiter(pygame.sprite.Sprite):
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self.Y = 0
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self.frame = 0
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self.matrix = Matrix(graphics=graphics)
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self.direction = 'E'
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# Borders
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def move(self, x, y, graphics):
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@ -21,12 +22,92 @@ class Waiter(pygame.sprite.Sprite):
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def update(self, event, graphics):
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if event.type == pygame.KEYDOWN:
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if event.key == pygame.K_LEFT:
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self.move(-1, 0, graphics)
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if event.key == pygame.K_RIGHT:
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self.move(1, 0, graphics)
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if self.direction == 'N':
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self.direction = 'W'
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elif self.direction == 'S':
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self.direction = 'E'
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elif self.direction == 'E':
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self.direction = 'N'
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elif self.direction == 'W':
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self.direction = 'S'
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if event.key == pygame.K_LEFT:
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if self.direction == 'N':
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self.direction = 'E'
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elif self.direction == 'S':
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self.direction = 'W'
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elif self.direction == 'E':
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self.direction = 'S'
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elif self.direction == 'W':
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self.direction = 'N'
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if event.key == pygame.K_UP:
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self.move(0, -1, graphics)
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if event.key == pygame.K_DOWN:
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if self.direction == 'N':
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self.move(0, 1, graphics)
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if self.direction == 'S':
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self.move(0, -1, graphics)
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if self.direction == 'E':
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self.move(1, 0, graphics)
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if self.direction == 'W':
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self.move(-1, 0, graphics)
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print(self.X, self.Y)
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# AStar
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def findPath(self, goal):
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#Stworzenie startowego i koncowego wierzcholka
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startNode = self.matrix.matrix[self.X][self.Y]
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goalNode = self.matrix.matrix[goal[0]][goal[1]]
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#Inicjalizacja list
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openList = []
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closedList = []
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openList.append(startNode)
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while len(openList) > 0:
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openList.sort(key=tile.totalCost)
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currentNode = openList.pop(0)
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closedList.append(currentNode)
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if currentNode == goalNode:
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pass
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#Tutaj odbywac sie bedzie budowanie sciezki gdy algorytm osiagnie cel
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children = []
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if currentNode.X >= 0:
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if currentNode.Y + 1 < len(self.matrix.matrix[0]):
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if self.matrix.matrix[currentNode.X][currentNode.Y + 1].walk_through == 1:
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children.append(self.matrix.matrix[currentNode.X][currentNode.Y + 1])
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if currentNode.Y - 1 >= 0:
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if self.matrix.matrix[currentNode.X][currentNode.Y - 1].walk_through == 1:
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children.append(self.matrix.matrix[currentNode.X][currentNode.Y - 1])
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if currentNode.X + 1 < len(self.matrix.matrix):
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if currentNode.Y + 1 < len(self.matrix.matrix[0]):
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if self.matrix.matrix[currentNode.X + 1][currentNode.Y + 1].walk_through == 1:
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children.append(self.matrix.matrix[currentNode.X + 1][currentNode.Y + 1])
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if currentNode.Y - 1 >= 0:
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if self.matrix.matrix[currentNode.X + 1][currentNode.Y - 1].walk_through == 1:
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children.append(self.matrix.matrix[currentNode.X + 1][currentNode.Y - 1])
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if currentNode.Y >= 0:
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if self.matrix.matrix[currentNode.X + 1][currentNode.Y].walk_through == 1:
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children.append(self.matrix.matrix[currentNode.X + 1][currentNode.Y])
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if currentNode.X - 1 >= 0:
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if currentNode.Y + 1 < len(self.matrix.matrix[0]):
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if self.matrix.matrix[currentNode.X - 1][currentNode.Y + 1].walk_through == 1:
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children.append(self.matrix.matrix[currentNode.X - 1][currentNode.Y + 1])
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if currentNode.Y - 1 >= 0:
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if self.matrix.matrix[currentNode.X - 1][currentNode.Y - 1].walk_through == 1:
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children.append(self.matrix.matrix[currentNode.X - 1][currentNode.Y - 1])
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if currentNode.Y >= 0:
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if self.matrix.matrix[currentNode.X - 1][currentNode.Y].walk_through == 1:
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children.append(self.matrix.matrix[currentNode.X - 1][currentNode.Y])
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for child in children:
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if child in closedList:
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continue
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