backgammon/bot.py

from cup import Cup
import tensorflow as tf
from network import Network
import numpy as np
from board import Board
import random

class Bot:

    def __init__(self, sym):
        self.cup = Cup()
        self.sym = sym
        self.graph = tf.Graph()
        with self.graph.as_default():
            self.session = tf.Session()
            self.network = Network(self.session)
            

    def roll(self):
        print("{} rolled: ".format(self.sym))
        roll = self.cup.roll()
        print(roll)
        return roll
        

    def switch(self,cur):
        return -1 if cur == 1 else 1

    def get_session(self):
        return self.session
        
    def get_sym(self):
        return self.sym

    def get_network(self):
        return self.network

    def make_move(self, board, sym, roll):
        # print(Board.pretty(board))
        legal_moves = Board.calculate_legal_states(board, sym, roll)
        legal_list = list(legal_moves)
        lol = []
        for move in legal_list:
            lol.append(self.network.eval_state(np.array(move).reshape(1,26)))
        print("Found the best state, being:", np.array(lol).argmax())
        return [legal_list[np.array(lol).argmax()], max(lol)]
        
#        return random.choice(list(legal_moves))