-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathmain.py
262 lines (224 loc) · 11.9 KB
/
main.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
from typing import List
import json.encoder
import threading as THREAD ## 多執行緒模組 ##
import os as OS ## 調用操作系統命令，來達成建立文件，刪除文件，查詢文件的模組 ##
import time as TIME
import pprint as PPRINT
import jieba_fast as JIEBA
import keyboard as KEYBOARD
import msvcrt as MSVCRT
import sys as SYS
## 語音轉文字模組 ##
import speech_recognition as SPEECH_RECOGNIZE
from PyQt5 import QtWidgets
from Util.command import Command
from Util.condition import Condition, NumberCondition, PinyionCondition, SimilarCondition, SimpleCondition, SynonymCondition, TranslateCondition
from Util.model import Model
from Interface.mainGame import GameMainUi
class CommandActivater():
def __init__(self, command:Command, executeTime=1) -> None:
self._command = command
self._executeTime = executeTime
pass
def command( self ) -> Command:
return self._command
def executeTime( self ) -> int:
return self._executeTime
def setTimes( self, times ):
self._executeTime = times
class SpeechSensor():
def __init__(self):
pass
def speechToText(self):
recorder = SPEECH_RECOGNIZE.Recognizer()
recorder.energy_threshold = 500
with SPEECH_RECOGNIZE.Microphone() as source:
print('請說話：')
#r.adjust_for_ambient_noise(source, duration=0.5)
recorder.dynamic_energy_threshold = True
try:
audio = recorder.listen( source, timeout=2, phrase_time_limit=2)
#audio = r.listen(source)
text = recorder.recognize_google(audio, language='zh-tw')
flag = 0
temp = ''
"""for i in range(len(text)):
if(i >= 1):
if(is_number(text[i]) and not(is_number(text[i-1])) and text[i-1] != ' ' and flag == 0):
temp += ' '
flag = 1
temp += text[i]"""
# print("Transcription:"+temp)
return text
except SPEECH_RECOGNIZE.UnknownValueError:
print("無法辨識")
return None
except SPEECH_RECOGNIZE.WaitTimeoutError:
print("超過時間")
return None
class SpeechRecognizeAgent(THREAD.Thread):
def __init__(self) -> None:
THREAD.Thread.__init__(self)
self._working = True
self._counter = 0
self._model = Model()
self._conditions:List[Condition] = [NumberCondition(), SimpleCondition(), SynonymCondition(), SimilarCondition(), PinyionCondition(), TranslateCondition()]
self._sensor = SpeechSensor()
self._nowStatus = "隨時"
# ------------- Jieba 載入自訂義詞庫 -------------
JIEBA.set_dictionary( "resources/dict.txt.big" )
JIEBA.load_userdict( "resources/customDict.txt" )
for keyWord in self._model.getKeyWordSet():
JIEBA.add_word( keyWord, Model.KEY_WORD_WEIGHT )
# self.doAction()
def run(self):
# 判斷是否在工作
while( self._working == True ):
# 偵測是否結束
if MSVCRT.kbhit() or KEYBOARD.is_pressed('q'):
print("程式結束")
return
self.doAction()
TIME.sleep(1)
def doAction( self ):
print( "目前狀態 -------------------------> " , self._nowStatus )
# 取得語音指令
textSpeech = "攻擊6次"
if( textSpeech == None ):
return
print( "語音輸入：" + textSpeech )
tokenTexts = JIEBA.lcut(textSpeech, cut_all=False, HMM=False)
print( "結疤分詞：", str(tokenTexts) )
# 移除停止詞
self._model.removeStopWords( tokenTexts )
print( "停止詞移除後：" + str(tokenTexts) )
pinyinToken:List[str] = PinyionCondition.GeneratePinyinList( tokenTexts )
englishToken:List[str] = TranslateCondition.GenerateEnglishList( tokenTexts )
# 初始化 Command
countable = False # 可量化 Flag
commandList: List[CommandActivater] = [] # 指令串列
tempActivator = None
# ========================================================================================================
for tokenIndex, token in enumerate(tokenTexts):
command = None # 指令
executeTime = 1 # 量詞
# 每種判斷取出
for condition in self._conditions:
# 取出目前狀態可以判斷的指令
statusCommand = self._model.getCommandsByStatus( self._nowStatus )
if( statusCommand == None ):
print( "未知狀態" )
return
# ------------------------------------------------------
# 數字判斷
if( isinstance(condition, NumberCondition) ):
if( countable == True ):
executeTime = condition.execute( token )
# ------------------------------------------------------
# 拼音判斷
elif( isinstance(condition, PinyionCondition) ):
command = condition.execute( statusCommand, token, pinyinToken[ tokenIndex ] )
# 加入至相似詞裡
if( command != None ):
command.addSimilarWord( token )
JIEBA.add_word( token, Model.KEY_WORD_WEIGHT )
# ------------------------------------------------------
# 翻譯判斷
elif( isinstance(condition, TranslateCondition) ):
command = condition.execute( statusCommand, token, englishToken[ tokenIndex ] )
# 加入至同義詞裡
if( command != None ):
command.addSynonymWord( token )
JIEBA.add_word( token, Model.KEY_WORD_WEIGHT )
# ------------------------------------------------------
# 其他
else:
command = condition.execute( statusCommand, token )
# ------------------------------------------------------
# 設定次數
if( executeTime > 1 and tempActivator != None ):
tempActivator.setTimes( executeTime )
# tokenTexts.remove( token ) # 移除已經判斷過的字
# 有找到指令
elif( command != None ):
print( "搜尋結果： (" + condition.getConditionName() + ") 最相近的字串: ", command.getChineseName() )
tempActivator = CommandActivater( command ) # 待執行指令暫存
commandList.append( tempActivator ) # 待執行的指令串列
self._nowStatus = command.nextStatus( self._nowStatus ) # 取出下個狀態
countable = command.countable() # 判斷此指令是否可數
# tokenTexts.remove( token ) # 移除已經判斷過的字
break
for cm in commandList:
print( "指令：{command} 執行 {time} 次".format(command=cm.command().getChineseName(), time=cm.executeTime()) )
# ========================================================================================================
# countable = False # 可量化 Flag
# parameterList: List[CommandActivater] = [] # 指令串列
# tempActivator = None
# for tokenIndex, token in enumerate(tokenTexts):
# parameter = None
# executeTime = 1 # 量詞
# # 每種判斷取出
# for condition in self._conditions:
# # 取出目前狀態可以判斷的指令
# statusParameter = self._model.getParameterByStatus( self._nowStatus )
# if( statusParameter == None ):
# print( "未知狀態" )
# return
# # ------------------------------------------------------
# # 數字判斷
# if( isinstance(condition, NumberCondition) ):
# if( countable == True ):
# executeTime = condition.execute( token )
# # ------------------------------------------------------
# # 拼音判斷
# elif( isinstance(condition, PinyionCondition) ):
# parameter = condition.execute( statusParameter, token, pinyinToken[ tokenIndex ] )
# # 加入至相似詞裡
# if( parameter != None ):
# parameter.addSimilarWord( token )
# JIEBA.add_word( token, Model.KEY_WORD_WEIGHT )
# # ------------------------------------------------------
# # 翻譯判斷
# elif( isinstance(condition, TranslateCondition) ):
# parameter = condition.execute( statusParameter, token, englishToken[ tokenIndex ] )
# # 加入至同義詞裡
# if( parameter != None ):
# parameter.addSynonymWord( token )
# JIEBA.add_word( token, Model.KEY_WORD_WEIGHT )
# # ------------------------------------------------------
# # 其他
# else:
# parameter = condition.execute( statusParameter, token )
# # ------------------------------------------------------
# # 設定次數
# if( executeTime > 1 and tempActivator != None ):
# tempActivator.setTimes( executeTime )
# # tokenTexts.remove( token ) # 移除已經判斷過的字
# # 有找到指令
# elif( parameter != None ):
# print( "搜尋結果： (" + condition.getConditionName() + ") 最相近的字串: ", parameter.getChineseName() )
# tempActivator = CommandActivater( parameter ) # 待執行指令暫存
# parameterList.append( tempActivator ) # 待執行的指令串列
# self._nowStatus = parameter.nextStatus( self._nowStatus ) # 取出下個狀態
# countable = parameter.countable() # 判斷此指令是否可數
# # tokenTexts.remove( token ) # 移除已經判斷過的字
# print( "目前狀態：" , self._nowStatus )
# break
# for pm in parameterList:
# print( "參數：{command} 執行 {time} 次".format(command=pm.command().getChineseName(), time=pm.executeTime()) )
# self._model.saveDataToFile()
if __name__ == "__main__":
def run_app():
# for synset in WORD_NET.synsets("car"):
# print(synset.definition())
# Initial
agent = SpeechRecognizeAgent()
agent.start()
app = QtWidgets.QApplication( SYS.argv )
window = GameMainUi()
window.show()
app.exec_()
try:
run_app()
except Exception as e:
print("main crashed. Error: %s", e.with_traceback())