import math
import random

class Player:
    def __init__(self, bando):
        # bando puedes ser X o O
        self.bando = bando

    # Asegurar que cada jugador haga su jugada
    def get_move(delf, game):
        pass

class RandomPcPlayer(Player):
    def __init__(self, bando):
        super().__init__(bando)

    def get_move(self, game):
        square = random.choice(game.available_moves())
        return square

class HumanPlayer(Player):
    def __init__(self, bando):
        super().__init__(bando)

    def get_move(self, game):
        valid_square = False
        val = None
        while not valid_square:
            square = input('Turno [' + self.bando + ']. Ingresa una jugada (1-9):')
            # Validar entrada
            try:
                val = int(square)
                val -= 1
                if val not in game.available_moves():
                    raise ValueError
                valid_square = True
            except ValueError:
                print('Movimiento no valido. Intenta otra vez.')
        return val

class GeniusPcPlayer(Player):
    def __init__(self, bando):
        super().__init__(bando)

    def get_move(self, game):
        if len(game.available_moves()) == 9:
            square = random.choice(game.available_moves())
        else:
            square = self.minimax(game, self.bando)['position']
        return square
   
    def minimax(self, state, player):
        max_player = self.bando
        other_player = 'O' if player == 'X' else 'X'
       
        if state.current_winner == other_player:
            return {'position':None,
                    'score': 1 * (state.num_empty_squares() + 1) if other_player == max_player else -1 * (
                        state.num_empty_squares() + 1)
                    }
        elif not state.empty_squares():
            return {'position': None, 'score': 0}
        
        if player == max_player:
            best = {'position': None, 'score': -math.inf}
        else:
            best = {'position': None, 'score': math.inf}
        
        for possible_move in state.available_moves():
            state.make_move(possible_move, player)
            sim_score = self.minimax(state, other_player)

            state.board[possible_move] = ' '
            state.current_winner = None
            sim_score['position'] = possible_move

            if player == max_player:
                if sim_score['score'] > best['score']:
                    best = sim_score
            else:
                if sim_score['score'] < best['score']:
                    best = sim_score

        return best