-
Notifications
You must be signed in to change notification settings - Fork 0
/
Interface.py
263 lines (236 loc) · 9.61 KB
/
Interface.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
import sys
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
import PolicyValueFn
import Board
import Agent
import numpy as np
import torch
from Timer import timer
from DataStorage import dataProcessor
from RolloutFn import randomRolloutFn,minMaxRolloutFn
class GUI(QWidget):
def __init__(self, agent, boardSize=15, numberForWin=5, agentFirst = 0):
super(GUI, self).__init__()
self.S = boardSize
self.numberForWin = numberForWin
self.agentFirst = agentFirst
self.W = 700
self.B = 50
self.d = self.W / (self.S - 1)
self.gap = 0.4 * self.d
self.Board = Board.Board(boardSize, numberForWin)
self.Board.init()
self.win = 0
self.agent = agent
#if str(self.agent)=="SearchAgent Instance":
# self.Board.setFeatureUpdate(True)
#else:
# self.Board.setFeatureUpdate(False)
self.Restart = QPushButton("Restart", self)
self.ShowValue = QPushButton("ShowValue",self)
self.RandomSelfplay = QPushButton("RandomVisualize",self)
self.RandomSearchPlay = QPushButton("SearchPlayVisualize",self)
self.Restart.clicked.connect(self.OnRestart)
self.ShowValue.clicked.connect(self.OnShowValue)
self.RandomSelfplay.clicked.connect(self.OnRandomSelfplay)
self.RandomSearchPlay.clicked.connect(self.OnRandomSearchPlay)
self.value = 1
self.isShowValue = 1
self.Visualization = 0
self.policy = {}
self.searchPlayData = None
self.selfplayData = None
#self.RestartVisualRun = QPushButton("RestartVisual", self)
#self.RestartVisualRun.clicked.connect(self.OnRestartVisual)
self.initUI()
def posToTopleft(self, pos):
return self.B + pos[0] * self.d - self.gap, self.B + pos[1] * self.d - self.gap
def CoordinateTopos(self, x, y):
return int((x - self.B) / self.d + 0.5), int((y - self.B) / self.d + 0.5)
def paintEvent(self, e):
qp = QPainter()
qp.begin(self)
self.drawBackground(qp)
c = 0
if self.isShowValue:
for action, pro in self.policy.items():
TL = self.posToTopleft(action)
blue = QColor(183, 234, 255)
qp.setPen(blue)
qp.setBrush(blue)
rec = QRect(TL[0], TL[1], int(2 * self.gap + 0.5), int(2 * self.gap + 0.5))
qp.setPen(Qt.black)
qp.drawEllipse(rec)
qp.setFont(QFont('SimHei', int(80/self.Board.getSize())))
qp.drawText(int(TL[0]+self.gap/2+0.5),int(TL[1]+self.gap+0.5),"%.2f"%pro)
num = 1
for action in self.Board.actions:
TL = self.posToTopleft(action)
qp.setPen(Qt.black)
qp.setBrush(Qt.black if c == 1 else Qt.white)
rec = QRect(TL[0], TL[1], int(2 * self.gap + 0.5), int(2 * self.gap + 0.5))
qp.drawEllipse(rec)
qp.setPen(Qt.black if c == 0 else Qt.white)
qp.setFont(QFont('Arial',int(160/self.Board.getSize())))
if num>=100:
qp.drawText(int(TL[0]+self.gap/4+0.5),int(TL[1]+self.gap*1.2+0.5),"%d" %num)
elif num>=10 :
qp.drawText(int(TL[0] + self.gap/2+0.5), int(TL[1] + self.gap*1.2 + 0.5), "%d" %num)
else :
qp.drawText(int(TL[0] + self.gap/1.4 + 0.5), int(TL[1] + self.gap * 1.2 + 0.5), "%d" % num)
num +=1
c = 1 - c
if self.isShowValue and not self.Visualization and len(self.Board.actions)>0:
last = self.Board.actions[-1]
TL = self.posToTopleft(last)
gold = QColor(255,255,0)
qp.setPen(QPen(gold,5))
qp.setBrush(Qt.black if c==0 else Qt.white)
rec = QRect(TL[0], TL[1], int(2 * self.gap + 0.5), int(2 * self.gap + 0.5))
qp.drawEllipse(rec)
if c==self.agentFirst:
qp.setPen(Qt.black)
qp.setFont(QFont('SimHei', int(80/self.Board.getSize())))
qp.drawText(int(TL[0] +self.gap/2+ 0.5), int(TL[1] + self.gap + 0.5), "%.2f" % self.policy[last])
qp.end()
def mousePressEvent(self, e):
if self.win:
return
pos = self.CoordinateTopos(e.x(), e.y())
# QMessageBox.information(self, '框名', "(%d,%d)" %(pos[0],pos[1]))
if (pos[0] < 0) or (pos[0] >= self.S) or (pos[1] < 0) or (pos[1] >= self.S) or (
pos not in self.Board.getAvailableActions()):
return
else:
self.down(pos)
self.update()
self.repaint()
self.run()
def initUI(self):
self.resize(1200, 800)
self.move(30, 80)
self.setWindowTitle('Chess Board')
self.show()
self.Restart.setGeometry(QRect(900, 100, 200, 100))
self.ShowValue.setGeometry(QRect(900,250,200,100))
self.RandomSelfplay.setGeometry(QRect(900,400,200,100))
self.RandomSearchPlay.setGeometry(QRect(900,550,200,100))
#self.RestartVisualRun.setGeometry(QRect(900, 600, 200, 100))
if self.agentFirst:
self.run()
def drawBackground(self, qp):
pen = QPen(Qt.black, 2, Qt.SolidLine)
qp.setPen(pen)
s = np.linspace(0, self.W, self.S)
for i in range(self.S):
qp.drawLine(s[i] + self.B, self.B, s[i] + self.B, self.W + self.B)
qp.drawLine(self.B, s[i] + self.B, self.W + self.B, s[i] + self.B)
def down(self, pos):
self.Board.takeAction(pos)
self.update()
if self.Board.isFinish():
self.win = 1
QMessageBox.information(self, 'result', "agent 0 win!" if self.Board.getWinner() == 0 else "agent 1 win!")
def run(self):
if self.win:
return 0
#print(f"In the view of {self.Board.getCurrentPlayer()}: {self.Board.approxScore()}")
action = self.agent.getAction(self.Board)
self.policy = self.agent.getActionProPair()
self.down(action)
#print(f"In the view of {self.Board.getCurrentPlayer()}: {self.Board.approxScore()}")
def clear(self):
self.Board.init()
self.win = 0
self.policy = {}
self.update()
def showPlay(self, play):
for action in play:
self.Board.takeAction(action)
def OnRestart(self):
self.Visualization = 0
self.clear()
if self.agentFirst:
self.run()
def OnShowValue(self):
self.isShowValue = 1 - self.isShowValue
self.update()
self.repaint()
def OnRandomSelfplay(self):
self.Visualization = 1
if self.selfplayData == None:
self.selfplayData = dataProcessor.getLastestSelfplay()
index = np.random.randint(0,len(self.selfplayData))
play = self.selfplayData[index]
self.clear()
self.showPlay(play)
print(play)
self.update()
self.win = 1
def OnRandomSearchPlay(self):
self.Visualization = 1
if self.searchPlayData is None:
self.searchPlayData = dataProcessor.getLastestSearchPlay()
index = np.random.randint(0,len(self.searchPlayData))
play = self.searchPlayData[index]
print(play)
self.clear()
self.showPlay(play)
self.update()
self.win = 1
def OnLoadActionSequence(self):
self.Visualization = 1
if self.actionSequence is None:
self.actionSequence = dataProcessor.loadActionSequence()
index = np.random.randint(0,len(self.actionSequence))
play = self.actionSequence[index]
print(play)
self.clear()
self.showPlay(play)
self.update()
self.win = 1
#def OnRestartVisual(self):
# self.Board.init()
# self.agent.init()
# self.agent2.init()
# self.visualizeRun(self.agent1, self.agent2)
#def visualizeRun(self, agent0, agent1):
# self.Board.init()
# agentMap = {0: agent0, 1: agent1}
# while not self.Board.isFinish():
# agent = agentMap[self.Board.getCurrentPlayer()]
# action = agent.getAction(self.Board)
# if action in self.Board.getAvailableActions():
# self.down(action)
# winner = self.Board.getWinner()
# agent0.finish(winner == 0)
# agent1.finish(winner == 1)
# return agentMap[winner]
def IntelligenceAgent(args, modelID=None):
if modelID is None:
model = PolicyValueFn.PolicyValueFn(args).to(args.device)
else:
model = dataProcessor.loadNetwork(args, modelID)
if args.rolloutMode == 'network':
agent = Agent.IntelligentAgent(args.numOfIterations, model, None, 0)
elif args.rolloutMode == 'minmax':
agent = Agent.IntelligentAgent(args.numOfIterations, model, minMaxRolloutFn(1), 1)
elif args.rolloutMode == 'random':
agent = Agent.IntelligentAgent(args.numOfIterations, model, randomRolloutFn(30), 1)
elif args.rolloutMode == 'mix_minmax':
agent = Agent.IntelligentAgent(args.numOfIterations, model, minMaxRolloutFn(1), args.balance)
elif args.rolloutMode == 'mix_random':
agent = Agent.IntelligentAgent(args.numOfIterations, model, randomRolloutFn(30), args.balance)
else:
agent = Agent.IntelligentAgent(args.numOfIterations, model, None, 1)
return agent
def NetworkAgent(args, modelID=None):
model = dataProcessor.loadNetwork(args, modelID)
agent = Agent.NetWorkAgent(model)
return agent
def Play(args, agent):
app = QApplication(sys.argv)
gui = GUI(agent, boardSize=args.size, numberForWin=args.numberForWin, agentFirst=args.agentFirst)
sys.exit(app.exec_())