63 lines
1.5 KiB
Python
63 lines
1.5 KiB
Python
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import dataset
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import random
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async def rec(self, m):
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prew = self.db['prew']
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noch = self.db['noun']
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beg = self.db['beg']
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end = self.db['end']
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pre = ''
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words = m.split(' ')
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if words[0] == 'admin':
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return
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for w in words:
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if pre == '':
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beg.insert(dict(word=w))
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else:
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prew.insert(dict(pre=pre, pro=w))
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pre = w
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noch.insert(dict(word=w))
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end.insert(dict(word=pre))
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async def getNoun(self, words):
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nouns = [i['word'] for i in self.db['noun'].find()]
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out = {}
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for i in words:
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out[i] = nouns.count(i)
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return min(out, key=out.get)
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async def genOut(self, noun):
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prew = self.db['prew']
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beg = [ i['word'] for i in self.db['beg'].find() ]
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end = [ i['word'] for i in self.db['end'].find() ]
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nouns = [i['word'] for i in self.db['noun'].find()]
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iter=0
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out = [noun]
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while (out[0] not in beg or nouns.count(out[0])-1 > iter * self.enmul) and iter < 7:
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out = [ random.choice(list(prew.find(pro=out[0])))['pre'] ] + out
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iter += 1
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iter = 0
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while (out[-1] not in end or nouns.count(out[-1])-1 > iter * self.enmul) and iter < 7:
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out.append(random.choice(list(prew.find(pre=out[-1])))['pro'])
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iter += 1
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return out
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async def filter(self, c, n, m):
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if m[:5] == 'kim: ':
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m = m[5:]
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await rec(self, m)
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words = m.split(' ')
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if words[0] == 'admin':
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return
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await self.message(c, ' '.join(await genOut(self, await getNoun(self, words))))
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async def init(self):
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self.db = dataset.connect('sqlite:///database.db')
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self.enmul = 1
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self.raw['nlp'] = filter
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