import pygame
from state_space_search import is_border, is_obstacle

class Agent:
    def __init__(self, istate, image_path, grid_size):
        self.istate = istate
        self.x, self.y, self.direction = istate 
        self.grid_size = grid_size
        self.image= pygame.image.load(image_path)
        self.image = pygame.transform.scale(self.image, (grid_size, grid_size))
        self._food = 0
        
    def draw(self, screen, grid_size):
        # Obróć obrazek zgodnie z kierunkiem
        if self.direction == 'E':
            self.image= pygame.image.load('images/agent4.png')
        elif self.direction == 'S':
            self.image= pygame.image.load('images/agent1.png')
        elif self.direction == 'W':
            self.image= pygame.image.load('images/agent3.png')
        else:  # direction == 'N'
            self.image= pygame.image.load('images/agent2.png')
        self.image = pygame.transform.scale(self.image, (grid_size, grid_size))
        screen.blit(self.image, (self.x * self.grid_size, self.y * self.grid_size))

    def handle_event(self, event, max_x, max_y, animals, obstacles):
        if event.type == pygame.KEYDOWN:
            if event.key == pygame.K_UP:
                self.move('Go Forward', max_x, max_y, obstacles, animals)
            elif event.key == pygame.K_LEFT:
                self.move('Turn Left', max_x, max_y, obstacles, animals)
            elif event.key == pygame.K_RIGHT:
                self.move('Turn Right', max_x, max_y, obstacles, animals)

    def move(self, action, max_x, max_y, obstacles, animals, goal):
        if action == 'Go Forward':
            new_x, new_y = self.x, self.y
            if self.direction == 'N':
                new_y -= 1
            elif self.direction == 'E':
                new_x += 1
            elif self.direction == 'S':
                new_y += 1
            elif self.direction == 'W':
                new_x -= 1
            
            # Sprawdź, czy nowe położenie mieści się w granicach kraty i nie jest przeszkodą
            if is_border(new_x, new_y, max_x, max_y) and not(is_obstacle(new_x, new_y, obstacles)):
                self.x, self.y = new_x, new_y
                
        elif action == 'Turn Left':
            self.direction = {'N': 'W', 'W': 'S', 'S': 'E', 'E': 'N'}[self.direction]

        elif action == 'Turn Right':
            self.direction = {'N': 'E', 'E': 'S', 'S': 'W', 'W': 'N'}[self.direction]
        
        self.istate = (self.x, self.y, self.direction) 
        feed_animal(self, animals, goal)
        take_food(self)

def feed_animal(self, animals, goal): 
    goal_x, goal_y = goal
    if self.x == goal_x and self.y == goal_y:
        for animal in animals:
            if animal.x == goal_x and animal.y == goal_y:
                if animal.getting_hungry() < self._food :
                    self._food -= animal._feed
                    animal._feed = 0
                    print(animal.name, "fed with", animal.food)
                    print("Current food level: ", self._food)
                else:
                    animal._feed -= self._food
                    self._food = 0
                    print(animal.name, "fed with", animal.food)
                    print("Current food level: ", self._food)

def take_food(self):
    house_x = 3
    house_y = 1
    if self.x == house_x and self.y == house_y:
        if self._food == 0:
            self._food = 25
            print("Agent took food and current food level is", self._food)