import random
import pygame
import sys

sys.path.append('./Animals')
from animals import create_animals, draw_Animals
from agent import Agent
from enclosure import create_enclosures, draw_enclosures, draw_gates
from spawner import Spawner
from state_space_search import graphsearch, generate_cost_map
from terrain_obstacle import create_obstacles, draw_Terrain_Obstacles
from constants import Constants, init_pygame
from draw import draw_goal, draw_grid, draw_house
from season import draw_background
from night import change_time
from genetics import genetic_algorithm

const = Constants()
init_pygame(const)
pygame.display.set_caption("Mini Zoo")

obstacles = set()
animals_position = set()
terrain_obstacles_position = set()

Animals = create_animals()
Enclosures = create_enclosures()
Terrain_Obstacles = create_obstacles()

def spawn_all_animals():
    for Animal in Animals:
        spawner1 = Spawner(Animal)
        spawner1.spawn_animal(obstacles, animals_position, Enclosures)

def spawn_obstacles():
    for terrain_obstacle in Terrain_Obstacles:
        spawner2 = Spawner(terrain_obstacle)
        spawner2.spawn_terrain_obstacles(obstacles, animals_position, terrain_obstacles_position, const.GRID_WIDTH, const.GRID_HEIGHT)

def generate_obstacles():
    for en in Enclosures:
        # Pobierz współrzędne bramy
        gate_x, gate_y = en.gate1
        gate_x -= 1
        gate_y -= 1

        gate_x2, gate_y2 = en.gate2
        gate_x2 -= 1
        gate_y2 -= 1
        
        # Dodaj lewy brzeg prostokąta
        for y in range(en.y1, en.y2 + 1):
            if (en.x1, y) != (gate_x, gate_y) and (en.x1, y) != (gate_x2, gate_y2):
                obstacles.add((en.x1, y))

        # Dodaj prawy brzeg prostokąta
        for y in range(en.y1, en.y2 + 1):
            if (en.x2, y) != (gate_x, gate_y) and (en.x2, y) != (gate_x2, gate_y2):
                obstacles.add((en.x2, y))

        # Dodaj górny brzeg prostokąta
        for x in range(en.x1+1, en.x2):
            if (x, en.y1) != (gate_x, gate_y) and (x, en.y1) != (gate_x2, gate_y2):
                obstacles.add((x, en.y1))

        # Dodaj dolny brzeg prostokąta
        for x in range(en.x1+1, en.x2):
            if (x, en.y2) != (gate_x, gate_y) and (x, en.y2) != (gate_x2, gate_y2):
                obstacles.add((x, en.y2))

    return obstacles

def main():
    initial_state = (0, 0, 'S')
    agent = Agent(initial_state, 'images/agent1.png', const.GRID_SIZE)
    
    obstacles = generate_obstacles()
    actions = []
    clock = pygame.time.Clock()
    spawned = False
    route = False

    # # Lista zawierająca klatki do odwiedzenia
    # enclosures_to_visit = Enclosures.copy()
    # current_enclosure_index = -1  # Indeks bieżącej klatki
    # actions_to_compare_list = []  # Lista zawierająca ścieżki do porównania
    # goals_to_compare_list = list()  # Lista zawierająca cele do porównania

    while True:
        for event in pygame.event.get():
            if event.type == pygame.QUIT:
                pygame.quit()
                sys.exit()
            agent.handle_event(event, const.GRID_WIDTH, const.GRID_HEIGHT, Animals, obstacles,const)

        change_time(const)
        draw_background(const)
        draw_enclosures(Enclosures, const)
        draw_gates(Enclosures, const)
        draw_house(const)
  
        if not spawned:
            spawn_all_animals()
            spawn_obstacles()
            cost_map = generate_cost_map(Animals, Terrain_Obstacles)
            for animal in Animals:
                # animal._feed = 0
                animal._feed = random.randint(0, 10)
            spawned = True
        
        if not route:
            animals = [(animal.x, animal.y) for animal in Animals]
            best_route = genetic_algorithm(animals)
            route = True
            
        draw_Animals(Animals, const)
        draw_Terrain_Obstacles(Terrain_Obstacles, const)
        agent.draw(const)
        pygame.display.flip()
        clock.tick(10)

        if actions:
            action = actions.pop(0)
            agent.move(action, const.GRID_WIDTH, const.GRID_HEIGHT, obstacles, Animals, goal,const)
            pygame.time.wait(200)
        else:
            if agent._dryfood > 1 and agent._wetfood > 1 : 
                # if not goals_to_compare_list:
                #     current_enclosure_index = (current_enclosure_index + 1) % len(enclosures_to_visit)
                #     current_enclosure = enclosures_to_visit[current_enclosure_index] 

                #     for animal in current_enclosure.animals:
                #         goal = (animal.x, animal.y)
                #         goals_to_compare_list.append(goal)

                #         actions_to_compare = graphsearch(agent.istate, goal, const.GRID_WIDTH, const.GRID_HEIGHT, obstacles, cost_map)    
                #         actions_to_compare_list.append((actions_to_compare, goal))

                # chosen_path_and_goal = min(actions_to_compare_list, key=lambda x: len(x[0]))
                # goal = chosen_path_and_goal[1]  
                # draw_goal(const, goal)

                # # Usuń wybrany element z listy
                # actions_to_compare_list.remove(chosen_path_and_goal)
                # goals_to_compare_list.remove(goal)
                goal = best_route.pop(0)
                best_route.append(goal)
                draw_goal(const, goal)

                actions, cost = graphsearch(agent.istate, goal, const.GRID_WIDTH, const.GRID_HEIGHT, obstacles, cost_map)

            else:
                goal = (3,1)
                draw_goal(const, goal)
                actions, cost = graphsearch(agent.istate, goal, const.GRID_WIDTH, const.GRID_HEIGHT, obstacles, cost_map)

if __name__ == "__main__":
    main()