def callSentenceGen(reply,k):
with codecs.open("strarf_serif.txt","rb","utf-8") as f:
srctxt=[]
for line in f:
srctxt.append(line)
srctxt.append(u"EOS")
modelgen=trigramModelGenerator.modelgenerator()
gen=modelgen.GeneratorForUnigram(self.itemlist)
SS=modelgen.SpaceSaving(gen,k)
freq1=trigramModelGenerator.generateModel(srctxt)
keyword1=keywordext.extraction(reply.text,freq1)
sentenceGen=sentenceGenerator.sentenceGenerator(freq1)
sentence=sentenceGen.generateSentence(keyword1)
return sentence
def callSentenceGen_com(reply,k):
#with codecs.open("strarf_serif.txt","rb","utf-8") as f:
#with codecs.open("Japanese.0304.text.non-mentions.txt","rb","utf-8") as f:
with codecs.open("strarf_serif.txt","rb","utf-8") as f:
srctxt=[]
for line in f:
srctxt.append(line)
srctxt.append(u"EOS")
bytesrctxt=" ".join(srctxt)
freq1=trigramModelGenerator.generateModel(srctxt)
cpickler.topickle(freq1)
keyword1=keywordext.extraction(reply,freq1)
sentenceGen=sentenceGenerator.sentenceGenerator(freq1)
sentence=sentenceGen.generateSentence(keyword1)
return sentence
def testSentenceGenerator(self):
freq1={u"テスト":{u"foo":{u"foo":1}},u"foo":{u"foo":{u"foo":1}}}
keyword=u"テスト"
sentenceGen=sentenceGenerator.sentenceGenerator(freq1,keyword)
sentence=sentenceGen.generateSentence()
self.assertEqual(len(sentence),12)
self.assertEqual(sentence[0],u"テスト")
self.assertEqual(sentence[1],u"foo")
self.assertEqual(sentence[2],u"foo")
self.assertEqual(sentence[3],u"foo")
self.assertEqual(sentence[4],u"foo")
self.assertEqual(sentence[5],u"foo")
self.assertEqual(sentence[6],u"foo")
self.assertEqual(sentence[7],u"foo")
self.assertEqual(sentence[8],u"foo")
self.assertEqual(sentence[9],u"foo")
def callSentenceGen_pickle(reply,modelpath): freq1=cpickler.frompickle(modelpath) keyword1=keywordext.extraction(reply.text,freq1) sentenceGen=sentenceGenerator.sentenceGenerator(freq1) sentence=sentenceGen.generateSentence(keyword1) return sentence
def testBigram1(self):
freq1={u"テスト":{u"テスト":{u"テスト":1}}}
keyword=u"テスト"
sentenceGen=sentenceGenerator.sentenceGenerator(freq1,keyword)
bigramResult=sentenceGen.bigram(keyword)
self.assertEqual(bigramResult,u"テスト")
def testNoWord2(self):
freq1={u"あーてすてす":{u"foo":{u"bar":1}}}
keyword=u"あーてすてす"
sentenceGen=sentenceGenerator.sentenceGenerator(freq1,keyword)
sentence=sentenceGen.generateSentence()
self.assertIn("Error2",sentence)
for id in range(0, 9):
botList.append(algaeChatbot(id))
#segment
seg = segment()
#database
dbMgr.initConnect("35.236.188.139", "root", "threesththreesththreesth", "threesth")
#deepAI
deepAI = deepAIMgr()
#sentaence
sentenceMgr = []
for id in range(0, 9):
sentenceMgr.append(sentenceGenerator(id))
#algae
algaeDeviceList = []
algaeDeviceList.append(algaeATT('muCg1jZhIZY6s961aJ03rcxk', '4LpvkqOyciVeG0lqFyC6yXg4gvel80JLErW6hK70'))
algaeDeviceList.append(algaeATT('1yIBQapqIvJmKpAEX2IJKgc5', '4O8qd506sCJMW1VeVvE41lqDtwntCIz2YZsuALS'))
algaeDeviceList.append(algaeATT('xlvfKg52QzsAmJn7XSVqBvSF', '4PwZsM3RGJzuG0lqFzagjYK8CgDnIdpanumy2PJ1'))
algaeDeviceList.append(algaeATT('q35bNns5XPEqJ5DbgwvsRW3Z', '4UzyyY2mPXm1i0ByXzX1LF5QyCjwD1KTl58BSr8A'))
algaeDeviceList.append(algaeATT('XNQ90OLBUmEzHZh0Iv8rC64r', '4JovjWsPB5kfW1VeVnTQWPHUB7Si8qDwUwAAyeE'))
algaeDeviceList.append(algaeATT('4qcN9roOwWQHHYwKEPJrlbpf', '4NKhlbNfSs5qW1VeVzQz7VQSyS45L17EnqiSFzo2'))
algaeDeviceList.append(algaeATT('O4xQniLbfzOWRxJC2UyP4q50', '4QKgrGvpJOobW1VeVq8gmj9S5M4KJqhMwUrDKy8'))
algaeDeviceList.append(algaeATT('QLyIkkOBVvieLmVYsBNjL2M4', '4NnFth5L5d0aW1VeVyYynXw2dJGu71ID5sQngmb'))
algaeDeviceList.append(algaeATT('sJFbVrGQKSahaUsKW3CisEHh', '4Smr2oddHVhUW1VeVvw4J7KVnqezCGYgFiuXso6'))
time.sleep(3)
for id in range(0, 9):
def callSentenceGen_pickle(self,reply): keyword1=keywordext.extraction(reply,self.freq1) sentenceGen=sentenceGenerator.sentenceGenerator(self.freq1) sentence=sentenceGen.generateSentence(keyword1) return sentence
