343 lines
14 KiB
Python
343 lines
14 KiB
Python
import random
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import copy
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import math
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import asyncio
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from .fourInARowDraw import DrawFourInARow
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from funcs import logThis
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AIScores = {
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"middle": 3,
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"two in a row": 10,
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"three in a row": 50,
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"enemy two in a row": -35,
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"enemy three in a row": -200,
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"enemy win": -10000,
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"win": 10000,
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"avoid losing": 100
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}
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rowCount = 6
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columnCount = 7
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easy = True
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class FourInARow():
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def __init__(self,bot):
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self.bot = bot
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self.draw = DrawFourInARow(bot)
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# Starts the game
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def fourInARowStart(self, channel, user, opponent):
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game = self.bot.database["4 in a row games"].find_one({"_id":channel})
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if game == None:
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if opponent in ["1","2","3","4","5"]:
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difficulty = int(opponent)
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diffText = " with difficulty "+opponent
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opponent = "Gwendolyn"
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elif opponent.lower() == "gwendolyn":
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difficulty = 3
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diffText = " with difficulty 3"
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opponent = "Gwendolyn"
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else:
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try:
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int(opponent)
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return "That difficulty doesn't exist", False, False, False, False
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except:
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# Opponent is another player
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opponent = self.bot.funcs.getID(opponent)
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if opponent != None:
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difficulty = 5
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diffText = ""
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else:
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return "I can't find that user", False, False, False, False
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if user == opponent:
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return "You can't play against yourself", False, False, False, False
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board = [ [ 0 for i in range(columnCount) ] for j in range(rowCount) ]
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players = [user,opponent]
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random.shuffle(players)
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newGame = {"_id":channel,"board": board,"winner":0,"win direction":"",
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"win coordinates":[0,0],"players":players,"turn":0,"difficulty":difficulty}
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self.bot.database["4 in a row games"].insert_one(newGame)
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self.draw.drawImage(channel)
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gwendoTurn = False
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if players[0] == "Gwendolyn":
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gwendoTurn = True
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return "Started game against "+self.bot.funcs.getName(opponent)+diffText+". It's "+self.bot.funcs.getName(players[0])+"'s turn", True, False, False, gwendoTurn
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else:
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return "There's already a 4 in a row game going on in this channel", False, False, False, False
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# Places a piece at the lowest available point in a specific column
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def placePiece(self, channel : str,player : int,column : int):
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game = self.bot.database["4 in a row games"].find_one({"_id":channel})
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if game != None:
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board = game["board"]
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board = self.placeOnBoard(board,player,column)
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if board != None:
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self.bot.database["4 in a row games"].update_one({"_id":channel},{"$set":{"board":board}})
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turn = (game["turn"]+1)%2
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self.bot.database["4 in a row games"].update_one({"_id":channel},{"$set":{"turn":turn}})
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logThis("Checking for win")
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won, winDirection, winCoordinates = self.isWon(board)
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if won != 0:
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gameWon = True
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self.bot.database["4 in a row games"].update_one({"_id":channel},{"$set":{"winner":won}})
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self.bot.database["4 in a row games"].update_one({"_id":channel},{"$set":{"win direction":winDirection}})
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self.bot.database["4 in a row games"].update_one({"_id":channel},
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{"$set":{"win coordinates":winCoordinates}})
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message = self.bot.funcs.getName(game["players"][won-1])+" placed a piece in column "+str(column+1)+" and won."
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winAmount = int(game["difficulty"])**2+5
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if game["players"][won-1] != "Gwendolyn":
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message += " Adding "+str(winAmount)+" GwendoBucks to their account."
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elif 0 not in board[0]:
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gameWon = True
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message = "It's a draw!"
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else:
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gameWon = False
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message = self.bot.funcs.getName(game["players"][player-1])+" placed a piece in column "+str(column+1)+". It's now "+self.bot.funcs.getName(game["players"][turn])+"'s turn."
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gwendoTurn = False
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if game["players"][turn] == "Gwendolyn":
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logThis("It's Gwendolyn's turn")
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gwendoTurn = True
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self.draw.drawImage(channel)
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return message, True, True, gameWon, gwendoTurn
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else:
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return "There isn't any room in that column", True, True, False, False
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else:
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return "There's no game in this channel", False, False, False, False
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# Returns a board where a piece has been placed in the column
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def placeOnBoard(self,board,player,column):
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placementx, placementy = -1, column
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for x in range(len(board)):
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if board[x][column] == 0:
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placementx = x
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board[placementx][placementy] = player
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if placementx == -1:
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return None
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else:
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return board
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# Parses command
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def parseFourInARow(self, command, channel, user):
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commands = command.split()
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if command == "" or command == " ":
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return "I didn't get that. Use \"!fourinarow start [opponent]\" to start a game. To play against the computer, use difficulty 1 through 5 as the [opponent].", False, False, False, False
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elif commands[0] == "start":
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# Starting a game
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if len(commands) == 1: # if the commands is "!fourinarow start", the opponent is Gwendolyn
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commands.append("3")
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return self.fourInARowStart(channel,user,commands[1]) # commands[1] is the opponent
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# Stopping the game
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elif commands[0] == "stop":
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game = self.bot.database["4 in a row games"].find_one({"_id":channel})
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if user in game["players"]:
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return "Ending game.", False, False, True, False
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else:
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return "You can't end a game where you're not a player.", False, False, False, False
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# Placing manually
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elif commands[0] == "place":
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try:
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return self.placePiece(channel,int(commands[1]),int(commands[2])-1)
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except:
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return "I didn't get that. To place a piece use \"!fourinarow place [player number] [column]\" or press the corresponding message-reaction beneath the board.", False, False, False, False
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else:
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return "I didn't get that. Use \"!fourinarow start [opponent]\" to start a game. To play against the computer, use difficulty 1 through 5 as the [opponent].", False, False, False, False
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# Checks if someone has won the game and returns the winner
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def isWon(self, board):
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won = 0
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winDirection = ""
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winCoordinates = [0,0]
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for row in range(len(board)):
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for place in range(len(board[row])):
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if won == 0:
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piecePlayer = board[row][place]
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if piecePlayer != 0:
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# Checks horizontal
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if place <= columnCount-4:
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pieces = [board[row][place+1],board[row][place+2],board[row][place+3]]
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else:
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pieces = [0]
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if all(x == piecePlayer for x in pieces):
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won = piecePlayer
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winDirection = "h"
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winCoordinates = [row,place]
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# Checks vertical
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if row <= rowCount-4:
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pieces = [board[row+1][place],board[row+2][place],board[row+3][place]]
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else:
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pieces = [0]
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if all(x == piecePlayer for x in pieces):
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won = piecePlayer
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winDirection = "v"
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winCoordinates = [row,place]
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# Checks right diagonal
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if row <= rowCount-4 and place <= columnCount-4:
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pieces = [board[row+1][place+1],board[row+2][place+2],board[row+3][place+3]]
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else:
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pieces = [0]
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if all(x == piecePlayer for x in pieces):
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won = piecePlayer
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winDirection = "r"
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winCoordinates = [row,place]
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# Checks left diagonal
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if row <= rowCount-4 and place >= 3:
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pieces = [board[row+1][place-1],board[row+2][place-2],board[row+3][place-3]]
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else:
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pieces = [0]
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if all(x == piecePlayer for x in pieces):
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won = piecePlayer
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winDirection = "l"
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winCoordinates = [row,place]
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return won, winDirection, winCoordinates
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# Plays as the AI
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async def fourInARowAI(self, channel):
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logThis("Figuring out best move")
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game = self.bot.database["4 in a row games"].find_one({"_id":channel})
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board = game["board"]
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player = game["players"].index("Gwendolyn")+1
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difficulty = game["difficulty"]
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scores = [-math.inf,-math.inf,-math.inf,-math.inf,-math.inf,-math.inf,-math.inf]
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for column in range(0,columnCount):
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testBoard = copy.deepcopy(board)
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testBoard = self.placeOnBoard(testBoard,player,column)
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if testBoard != None:
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scores[column] = await self.minimax(testBoard,difficulty,player%2+1,player,-math.inf,math.inf,False)
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logThis("Best score for column "+str(column)+" is "+str(scores[column]))
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possibleScores = scores.copy()
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while (min(possibleScores) <= (max(possibleScores) - max(possibleScores)/10)) and len(possibleScores) != 1:
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possibleScores.remove(min(possibleScores))
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highest_score = random.choice(possibleScores)
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indices = [i for i, x in enumerate(scores) if x == highest_score]
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placement = random.choice(indices)
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return self.placePiece(channel,player,placement)
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# Calculates points for a board
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def AICalcPoints(self,board,player):
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score = 0
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otherPlayer = player%2+1
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# Adds points for middle placement
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# Checks horizontal
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for row in range(rowCount):
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if board[row][3] == player:
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score += AIScores["middle"]
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rowArray = [int(i) for i in list(board[row])]
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for place in range(columnCount-3):
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window = rowArray[place:place+4]
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score += self.evaluateWindow(window,player,otherPlayer)
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# Checks Vertical
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for column in range(columnCount):
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columnArray = [int(i[column]) for i in list(board)]
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for place in range(rowCount-3):
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window = columnArray[place:place+4]
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score += self.evaluateWindow(window,player,otherPlayer)
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# Checks right diagonal
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for row in range(rowCount-3):
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for place in range(columnCount-3):
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window = [board[row][place],board[row+1][place+1],board[row+2][place+2],board[row+3][place+3]]
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score += self.evaluateWindow(window,player,otherPlayer)
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for place in range(3,columnCount):
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window = [board[row][place],board[row+1][place-1],board[row+2][place-2],board[row+3][place-3]]
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score += self.evaluateWindow(window,player,otherPlayer)
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## Checks if anyone has won
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#won = isWon(board)[0]
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## Add points if AI wins
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#if won == player:
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# score += AIScores["win"]
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return score
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def evaluateWindow(self, window,player,otherPlayer):
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if window.count(player) == 4:
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return AIScores["win"]
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elif window.count(player) == 3 and window.count(0) == 1:
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return AIScores["three in a row"]
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elif window.count(player) == 2 and window.count(0) == 2:
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return AIScores["two in a row"]
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elif window.count(otherPlayer) == 4:
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return AIScores["enemy win"]
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else:
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return 0
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async def minimax(self, board, depth, player , originalPlayer, alpha, beta, maximizingPlayer):
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#terminal = ((0 not in board[0]) or (isWon(board)[0] != 0))
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terminal = 0 not in board[0]
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points = self.AICalcPoints(board,originalPlayer)
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# The depth is how many moves ahead the computer checks. This value is the difficulty.
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if depth == 0 or terminal or (points > 5000 or points < -6000):
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return points
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if maximizingPlayer:
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value = -math.inf
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for column in range(0,columnCount):
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testBoard = copy.deepcopy(board)
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testBoard = self.placeOnBoard(testBoard,player,column)
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if testBoard != None:
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evaluation = await self.minimax(testBoard,depth-1,player%2+1,originalPlayer,alpha,beta,False)
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if evaluation < -9000: evaluation += AIScores["avoid losing"]
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value = max(value,evaluation)
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alpha = max(alpha,evaluation)
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if beta <= alpha: break
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return value
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else:
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value = math.inf
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for column in range(0,columnCount):
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testBoard = copy.deepcopy(board)
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testBoard = self.placeOnBoard(testBoard,player,column)
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if testBoard != None:
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evaluation = await self.minimax(testBoard,depth-1,player%2+1,originalPlayer,alpha,beta,True)
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if evaluation < -9000: evaluation += AIScores["avoid losing"]
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value = min(value,evaluation)
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beta = min(beta,evaluation)
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if beta <= alpha: break
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return value
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