InteligentnySaper/classes/ai.py
2022-06-08 22:23:59 +02:00

125 lines
3.9 KiB
Python

from math import dist, sqrt
import pygame
from classes import minesweeper, system, bfs
from random import randrange
class AI:
window:system.Window
current_map:minesweeper.Map
saper:minesweeper.Minesweeper
the_way:list
#jak True to można się poruszać strzałkami, jak False sam się porusza
user_controlled=False
def __init__(self, window, current_map, saper):
self.window = window
self.current_map = current_map
self.saper = saper
#co ma zrobić tylko na początku
def ready(self):
self.saper.set_map(self.current_map)
self.bfs()
#co ma robić przy każdym FPS'ie
def updateFPS(self):
pass
#co ma zrobić przy każdym ruchu <------------------------- najważniejsze
def updateTile(self, model):
#aktualne pola (do debugu)
sensor = self.saper.sensor()
#print(sensor[0])
#print(sensor[1])
#print(sensor[2])
#print("-------")
#podniesienie bomby jeśli jest jakaś na tym polu
self.saper.pick_up(model)
#poruszenie się
if self.user_controlled:
self.minesweeper_controls()
return
self.way_controls()
def minesweeper_controls(self):
keys = pygame.key.get_pressed()
if keys[pygame.K_DOWN]:
self.saper.move(0)
elif keys[pygame.K_UP]:
self.saper.move(180)
elif keys[pygame.K_LEFT]:
self.saper.move(270)
elif keys[pygame.K_RIGHT]:
self.saper.move(90)
def chaos_controls(self):
dir = randrange(4)
if dir==0:
self.saper.rotate("N")
elif dir==1:
self.saper.rotate("S")
elif dir==2:
self.saper.rotate("W")
elif dir==3:
self.saper.rotate("E")
self.saper.move()
def way_controls(self):
if type(self.the_way) is list and len(self.the_way)>0:
way = self.the_way.pop(0)
if way=="move":
self.saper.move()
elif way=="left" or way=="right":
self.saper.rotate(way)
else:
self.saper.rotate(way)
self.saper.move()
elif len(self.current_map.encounters)!=0:
self.bfs()
def bfs(self):
def mojafunkcja(ileczasu, jakdaleko, jaktrudno, jakciezko):
return ((200-ileczasu)+(200-jakdaleko*10))-jaktrudno*jakciezko
def fitness(x, y, z, w): #funkcja do ewaluacji
ans = mojafunkcja(x, y, z, w)
return abs(ans-400)
dists = [] # how long way is to all encounters from start([0, 0])
ranked = []
for encounter in self.current_map.encounters:
dists.append(abs(self.saper.position_x - encounter.position_x) + abs(self.saper.position_y - encounter.position_y))
for a in self.current_map.mines:
ranked.append((fitness(a.explosion_timer, (abs(self.saper.position_x - encounter.position_x) + abs(self.saper.position_y - encounter.position_y)), a.difficulty, a.weight), a))
ranked.sort() #posortowana lista najlepszych wyborów dla min
if ranked:
print(ranked[0][0])
indx = ranked[0][1].position_x
indy = ranked[0][1].position_y
else:
ind = dists.index(min(dists))
indx = self.current_map.encounters[ind].position_x
indy = self.current_map.encounters[ind].position_y
goal_state = [indx, indy]
print(f'We go to {goal_state}')
find_path = bfs.BFS(self.saper, self.window)
tmp = find_path.graphsearch([], [], bfs.BFS.successor, goal_state)
#print(f'tmp = {tmp}')
if tmp is None:
raise Exception("Error, path does not exist")
else:
self.the_way = tmp