Projekt_Si/classes/data/klient.py
2024-05-26 11:50:42 +02:00

202 lines
8.5 KiB
Python

import pygame
from classes.cell import Cell
import prefs
import random
import heapq
from collections import deque
class Klient:
def __init__(self,x,y,cells):
self.sprite = pygame.image.load("sprites/klient.png").convert_alpha()
self.sprite = pygame.transform.scale(self.sprite, (prefs.CELL_SIZE, prefs.CELL_SIZE))
self.current_cell = cells[x][y]
self.current_x = x
self.current_y = y
# self.imie = imie
# self.nazwisko = nazwisko
# self.wiek = wiek
przyStoliku = False
self.stolik = None
# self.rachunek = Rachunek(random.randint(1,1000))
# self.ulubiony_posilek = ulubiony_posilek
# self.restrykcje_dietowe = restrykcje_dietowe
self.cells = cells
self.X = x
self.Y = y
self.last_move_time = pygame.time.get_ticks()
self.last_interact_time = pygame.time.get_ticks()
self.last_update_time = pygame.time.get_ticks()
self.direction = 0
self.directionPOM = 0
self.xPOM = x
self.yPOM = y
self.g_scores = {}
self.textures = [
pygame.image.load("sprites/klient.png").convert_alpha(),
pygame.image.load("sprites/klient.png").convert_alpha(),
pygame.image.load("sprites/klient.png").convert_alpha(),
pygame.image.load("sprites/klient.png").convert_alpha()
]
def update(self, surface):
surface.blit(self.sprite, (self.current_cell.X * prefs.CELL_SIZE,
self.current_cell.Y * prefs.CELL_SIZE))
def moveto(self,x,y):
if not self.cells[x][y].blocking_movement:
self.current_cell = self.cells[x][y]
self.moved=True
self.last_move_time=pygame.time.get_ticks()
print("Agent moved to x,y: ",x,y)
else:
print("Agent cannot move to this direction")
def move_direction(self):
if self.direction == 0 and pygame.time.get_ticks()-self.last_move_time > 125 and self.current_cell.Y < prefs.GRID_SIZE-1 and not self.cells[self.current_cell.X][self.current_cell.Y+1].blocking_movement:
self.current_cell = self.cells[self.current_cell.X][self.current_cell.Y+1]
self.moved=True
self.last_move_time=pygame.time.get_ticks()
if self.direction == 1 and pygame.time.get_ticks()-self.last_move_time > 125 and self.current_cell.X > 0 and not self.cells[self.current_cell.X-1][self.current_cell.Y].blocking_movement:
self.current_cell = self.cells[self.current_cell.X-1][self.current_cell.Y]
self.moved=True
self.last_move_time=pygame.time.get_ticks()
if self.direction == 2 and pygame.time.get_ticks()-self.last_move_time > 125 and self.current_cell.Y > 0 and not self.cells[self.current_cell.X][self.current_cell.Y-1].blocking_movement:
self.current_cell = self.cells[self.current_cell.X][self.current_cell.Y-1]
self.moved=True
self.last_move_time=pygame.time.get_ticks()
if self.direction == 3 and pygame.time.get_ticks()-self.last_move_time > 125 and self.current_cell.X < prefs.GRID_SIZE-1 and not self.cells[self.current_cell.X+1][self.current_cell.Y].blocking_movement:
self.current_cell = self.cells[self.current_cell.X+1][self.current_cell.Y]
self.moved=True
self.last_move_time=pygame.time.get_ticks()
def rotate_left(self):
if pygame.time.get_ticks()-self.last_move_time > 125:
self.direction +=1
if self.direction==4:
self.direction=0
self.sprite = self.textures[self.direction]
self.sprite = pygame.transform.scale(self.sprite, (prefs.CELL_SIZE, prefs.CELL_SIZE))
self.last_move_time=pygame.time.get_ticks()
print(self.direction)
def rotate_right(self):
if pygame.time.get_ticks()-self.last_move_time > 125:
self.direction-=1
if self.direction==-1:
self.direction=3
self.sprite = self.textures[self.direction]
self.sprite = pygame.transform.scale(self.sprite, (prefs.CELL_SIZE, prefs.CELL_SIZE))
self.last_move_time=pygame.time.get_ticks()
print(self.direction)
def zloz_zamowienie(self,zamowienie,stolik):
if self.stolik is None:
self.stolik = stolik
stolik.przypisz_kelner(stolik.kelner)
self.rachunek.dodaj_zamowienie(zamowienie)
print(f"Klinet {self.imie} {self.nazwisko} zlozyl zamowienie przy stoliku {stolik.numer_stolika} i przyjal je kelner {stolik.kelner.numer_pracowniczy}.")
else:
print("Klient ma juz przypisany stolik.")
def __str__(self):
return f"Klient: {self.imie} {self.nazwisko} {self.wiek}, ulubione Danie: {self.ulubiony_posilek}, restrykcje diet: {self.restrykcje_dietowe}"
def get_possible_moves(self):
possible_moves = []
if self.directionPOM == 0: # Patrzy w dół
possible_moves.append((0, 'left'))
possible_moves.append((0, 'right'))
if self.yPOM < prefs.GRID_SIZE - 1 and not self.cells[self.xPOM][self.yPOM + 1].blocking_movement:
possible_moves.append((self.directionPOM, 'forward'))
elif self.directionPOM == 1: # Patrzy w lewo
possible_moves.append((1, 'left'))
possible_moves.append((1, 'right'))
if self.xPOM > 0 and not self.cells[self.xPOM - 1][self.yPOM].blocking_movement:
possible_moves.append((self.directionPOM, 'forward'))
elif self.directionPOM == 2: # Patrzy w górę
possible_moves.append((2, 'left'))
possible_moves.append((2, 'right'))
if self.yPOM > 0 and not self.cells[self.xPOM][self.yPOM - 1].blocking_movement:
possible_moves.append((self.directionPOM, 'forward'))
elif self.directionPOM == 3: # Patrzy w prawo
possible_moves.append((3, 'left'))
possible_moves.append((3, 'right'))
if self.xPOM < prefs.GRID_SIZE - 1 and not self.cells[self.xPOM + 1][self.yPOM].blocking_movement:
possible_moves.append((self.directionPOM, 'forward'))
return possible_moves
def calculate_priority(self, el):
return el[0]
def bfs2(self, target_x, target_y):
visited = set()
self.directionPOM = self.direction
start_state = (self.current_cell.X, self.current_cell.Y, self.directionPOM)
#print(start_state)
queue = []
heapq.heappush(queue, (0,(start_state, [], 0)))
while queue:
_, que = heapq.heappop(queue)
state, actions, gscore = que
self.xPOM, self.yPOM, self.directionPOM = state
if self.xPOM == target_x and self.yPOM == target_y:
return actions
if (self.xPOM, self.yPOM, self.directionPOM) in visited:
continue
visited.add((self.xPOM, self.yPOM, self.directionPOM))
possible_moves = self.get_possible_moves()
for new_direction, action in possible_moves:
new_x, new_y = self.xPOM, self.yPOM
new_actions = actions + [action]
if action == 'left':
new_direction = (self.directionPOM + 1) % 4
elif action == 'right':
new_direction = (self.directionPOM - 1) % 4
else: # forward
if self.directionPOM == 0:
new_y += 1
elif self.directionPOM == 1:
new_x -= 1
elif self.directionPOM == 2:
new_y -= 1
else: # direction == 3
new_x += 1
if 0 <= new_x < prefs.GRID_SIZE and 0 <= new_y < prefs.GRID_SIZE \
and not self.cells[new_x][new_y].blocking_movement:
new_state = (new_x, new_y, new_direction)
if (action == 'left' or action == 'right') :
gscore = gscore + 1
else:
gscore = gscore + self.cells[new_x][new_y].waga
f_score = gscore + self.heuristic((new_x,new_y), (target_x,target_y))
heapq.heappush(queue, (f_score, (new_state, new_actions, gscore)))
return []
def heuristic(self, current, target):
# Manhattan distance heuristic
dx = abs(current[0] - target[0])
dy = abs(current[1] - target[1])
return dx + dy