Even more converting to slash commands

This commit is contained in:
NikolajDanger
2021-03-29 17:01:01 +02:00
parent 232f97d0c8
commit e8c7fb95e5
22 changed files with 487 additions and 191 deletions

350
funcs/games/connectFour.py Normal file
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@ -0,0 +1,350 @@
import random
import copy
import math
from .connectFourDraw import drawConnectFour
from funcs import logThis
AIScores = {
"middle": 3,
"two in a row": 10,
"three in a row": 50,
"enemy two in a row": -35,
"enemy three in a row": -200,
"enemy win": -10000,
"win": 10000,
"avoid losing": 100
}
rowCount = 6
columnCount = 7
easy = True
class connectFour():
def __init__(self,bot):
self.bot = bot
self.draw = drawConnectFour(bot)
# Starts the game
def connectFourStart(self, channel, user, opponent):
game = self.bot.database["connect 4 games"].find_one({"_id":channel})
if game == None:
if opponent in ["1","2","3","4","5"]:
difficulty = int(opponent)
diffText = " with difficulty "+opponent
opponent = "Gwendolyn"
elif opponent.lower() == "gwendolyn":
difficulty = 3
diffText = " with difficulty 3"
opponent = "Gwendolyn"
else:
try:
int(opponent)
return "That difficulty doesn't exist", False, False, False, False
except:
# Opponent is another player
opponent = self.bot.funcs.getID(opponent)
if opponent != None:
difficulty = 5
diffText = ""
else:
return "I can't find that user", False, False, False, False
if user == opponent:
return "You can't play against yourself", False, False, False, False
board = [ [ 0 for i in range(columnCount) ] for j in range(rowCount) ]
players = [user,opponent]
random.shuffle(players)
newGame = {"_id":channel,"board": board,"winner":0,"win direction":"",
"win coordinates":[0,0],"players":players,"turn":0,"difficulty":difficulty}
self.bot.database["connect 4 games"].insert_one(newGame)
self.draw.drawImage(channel)
gwendoTurn = False
if players[0] == "Gwendolyn":
gwendoTurn = True
return "Started game against "+self.bot.funcs.getName(opponent)+diffText+". It's "+self.bot.funcs.getName(players[0])+"'s turn", True, False, False, gwendoTurn
else:
return "There's already a connect 4 game going on in this channel", False, False, False, False
# Places a piece at the lowest available point in a specific column
def placePiece(self, channel : str,player : int,column : int):
game = self.bot.database["connect 4 games"].find_one({"_id":channel})
if game != None:
board = game["board"]
board = self.placeOnBoard(board,player,column)
if board != None:
self.bot.database["connect 4 games"].update_one({"_id":channel},{"$set":{"board":board}})
turn = (game["turn"]+1)%2
self.bot.database["connect 4 games"].update_one({"_id":channel},{"$set":{"turn":turn}})
logThis("Checking for win")
won, winDirection, winCoordinates = self.isWon(board)
if won != 0:
gameWon = True
self.bot.database["connect 4 games"].update_one({"_id":channel},{"$set":{"winner":won}})
self.bot.database["connect 4 games"].update_one({"_id":channel},{"$set":{"win direction":winDirection}})
self.bot.database["connect 4 games"].update_one({"_id":channel},
{"$set":{"win coordinates":winCoordinates}})
message = self.bot.funcs.getName(game["players"][won-1])+" placed a piece in column "+str(column+1)+" and won."
winAmount = int(game["difficulty"])**2+5
if game["players"][won-1] != "Gwendolyn":
message += " Adding "+str(winAmount)+" GwendoBucks to their account."
elif 0 not in board[0]:
gameWon = True
message = "It's a draw!"
else:
gameWon = False
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."
gwendoTurn = False
if game["players"][turn] == "Gwendolyn":
logThis("It's Gwendolyn's turn")
gwendoTurn = True
self.draw.drawImage(channel)
return message, True, True, gameWon, gwendoTurn
else:
return "There isn't any room in that column", True, True, False, False
else:
return "There's no game in this channel", False, False, False, False
# Returns a board where a piece has been placed in the column
def placeOnBoard(self,board,player,column):
placementx, placementy = -1, column
for x, line in enumerate(board):
if line[column] == 0:
placementx = x
board[placementx][placementy] = player
if placementx == -1:
return None
else:
return board
# Parses command
def parseconnectFour(self, command, channel, user):
commands = command.split()
if command == "" or command == " ":
return "I didn't get that. Use \"!connectFour start [opponent]\" to start a game. To play against the computer, use difficulty 1 through 5 as the [opponent].", False, False, False, False
elif commands[0] == "start":
# Starting a game
if len(commands) == 1: # if the commands is "!connectFour start", the opponent is Gwendolyn
commands.append("3")
return self.connectFourStart(channel,user,commands[1]) # commands[1] is the opponent
# Stopping the game
elif commands[0] == "stop":
game = self.bot.database["connect 4 games"].find_one({"_id":channel})
if user in game["players"]:
return "Ending game.", False, False, True, False
else:
return "You can't end a game where you're not a player.", False, False, False, False
# Placing manually
elif commands[0] == "place":
if len(commands) == 2:
game = self.bot.database["connect 4 games"].find_one({"_id":channel})
turn = game["turn"]
if user == game["players"][turn]:
piece = turn + 1
else:
logThis("It wasn't their turn")
return "It's not your turn!", False, False, False, False
column = int(commands[1])-1
else:
column = int(commands[2])-1
piece = int(commands[1])
return self.placePiece(channel, piece, column)
else:
return "I didn't get that. Use \"!connectFour start [opponent]\" to start a game. To play against the computer, use difficulty 1 through 5 as the [opponent].", False, False, False, False
# Checks if someone has won the game and returns the winner
def isWon(self, board):
won = 0
winDirection = ""
winCoordinates = [0,0]
for row in range(rowCount):
for place in range(columnCount):
if won == 0:
piecePlayer = board[row][place]
if piecePlayer != 0:
# Checks horizontal
if place <= columnCount-4:
pieces = [board[row][place+1],board[row][place+2],board[row][place+3]]
else:
pieces = [0]
if all(x == piecePlayer for x in pieces):
won = piecePlayer
winDirection = "h"
winCoordinates = [row,place]
# Checks vertical
if row <= rowCount-4:
pieces = [board[row+1][place],board[row+2][place],board[row+3][place]]
else:
pieces = [0]
if all(x == piecePlayer for x in pieces):
won = piecePlayer
winDirection = "v"
winCoordinates = [row,place]
# Checks right diagonal
if row <= rowCount-4 and place <= columnCount-4:
pieces = [board[row+1][place+1],board[row+2][place+2],board[row+3][place+3]]
else:
pieces = [0]
if all(x == piecePlayer for x in pieces):
won = piecePlayer
winDirection = "r"
winCoordinates = [row,place]
# Checks left diagonal
if row <= rowCount-4 and place >= 3:
pieces = [board[row+1][place-1],board[row+2][place-2],board[row+3][place-3]]
else:
pieces = [0]
if all(x == piecePlayer for x in pieces):
won = piecePlayer
winDirection = "l"
winCoordinates = [row,place]
return won, winDirection, winCoordinates
# Plays as the AI
async def connectFourAI(self, channel):
logThis("Figuring out best move")
game = self.bot.database["connect 4 games"].find_one({"_id":channel})
board = game["board"]
player = game["players"].index("Gwendolyn")+1
difficulty = game["difficulty"]
scores = [-math.inf,-math.inf,-math.inf,-math.inf,-math.inf,-math.inf,-math.inf]
for column in range(0,columnCount):
testBoard = copy.deepcopy(board)
testBoard = self.placeOnBoard(testBoard,player,column)
if testBoard != None:
scores[column] = await self.minimax(testBoard,difficulty,player%2+1,player,-math.inf,math.inf,False)
logThis("Best score for column "+str(column)+" is "+str(scores[column]))
possibleScores = scores.copy()
while (min(possibleScores) <= (max(possibleScores) - max(possibleScores)/10)) and len(possibleScores) != 1:
possibleScores.remove(min(possibleScores))
highest_score = random.choice(possibleScores)
indices = [i for i, x in enumerate(scores) if x == highest_score]
placement = random.choice(indices)
return self.placePiece(channel,player,placement)
# Calculates points for a board
def AICalcPoints(self,board,player):
score = 0
otherPlayer = player%2+1
# Adds points for middle placement
# Checks horizontal
for row in range(rowCount):
if board[row][3] == player:
score += AIScores["middle"]
rowArray = [int(i) for i in list(board[row])]
for place in range(columnCount-3):
window = rowArray[place:place+4]
score += self.evaluateWindow(window,player,otherPlayer)
# Checks Vertical
for column in range(columnCount):
columnArray = [int(i[column]) for i in list(board)]
for place in range(rowCount-3):
window = columnArray[place:place+4]
score += self.evaluateWindow(window,player,otherPlayer)
# Checks right diagonal
for row in range(rowCount-3):
for place in range(columnCount-3):
window = [board[row][place],board[row+1][place+1],board[row+2][place+2],board[row+3][place+3]]
score += self.evaluateWindow(window,player,otherPlayer)
for place in range(3,columnCount):
window = [board[row][place],board[row+1][place-1],board[row+2][place-2],board[row+3][place-3]]
score += self.evaluateWindow(window,player,otherPlayer)
## Checks if anyone has won
#won = isWon(board)[0]
## Add points if AI wins
#if won == player:
# score += AIScores["win"]
return score
def evaluateWindow(self, window,player,otherPlayer):
if window.count(player) == 4:
return AIScores["win"]
elif window.count(player) == 3 and window.count(0) == 1:
return AIScores["three in a row"]
elif window.count(player) == 2 and window.count(0) == 2:
return AIScores["two in a row"]
elif window.count(otherPlayer) == 4:
return AIScores["enemy win"]
else:
return 0
async def minimax(self, board, depth, player , originalPlayer, alpha, beta, maximizingPlayer):
#terminal = ((0 not in board[0]) or (isWon(board)[0] != 0))
terminal = 0 not in board[0]
points = self.AICalcPoints(board,originalPlayer)
# The depth is how many moves ahead the computer checks. This value is the difficulty.
if depth == 0 or terminal or (points > 5000 or points < -6000):
return points
if maximizingPlayer:
value = -math.inf
for column in range(0,columnCount):
testBoard = copy.deepcopy(board)
testBoard = self.placeOnBoard(testBoard,player,column)
if testBoard != None:
evaluation = await self.minimax(testBoard,depth-1,player%2+1,originalPlayer,alpha,beta,False)
if evaluation < -9000: evaluation += AIScores["avoid losing"]
value = max(value,evaluation)
alpha = max(alpha,evaluation)
if beta <= alpha: break
return value
else:
value = math.inf
for column in range(0,columnCount):
testBoard = copy.deepcopy(board)
testBoard = self.placeOnBoard(testBoard,player,column)
if testBoard != None:
evaluation = await self.minimax(testBoard,depth-1,player%2+1,originalPlayer,alpha,beta,True)
if evaluation < -9000: evaluation += AIScores["avoid losing"]
value = min(value,evaluation)
beta = min(beta,evaluation)
if beta <= alpha: break
return value