min/modules/nlp.py

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import dataset
import random
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async def rec(self, m):
prew = self.db['prew']
noch = self.db['noun']
beg = self.db['beg']
end = self.db['end']
pre = ''
words = m.split(' ')
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if words[0] == 'admin':
return
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for w in words:
if pre == '':
beg.insert(dict(word=w))
else:
prew.insert(dict(pre=pre, pro=w))
pre = w
noch.insert(dict(word=w))
end.insert(dict(word=pre))
async def getNoun(self, words):
nouns = [i['word'] for i in self.db['noun'].find()]
out = {}
for i in words:
out[i] = nouns.count(i)
return min(out, key=out.get)
async def genOut(self, noun):
prew = self.db['prew']
beg = [ i['word'] for i in self.db['beg'].find() ]
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
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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try:
out = [ random.choice(list(prew.find(pro=out[0])))['pre'] ] + out
except IndexError:
iter += 69
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iter += 1
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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try:
out.append(random.choice(list(prew.find(pre=out[-1])))['pro'])
except IndexError:
iter += 69
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iter += 1
return out
async def filter(self, c, n, m):
if m[:5] == 'kim: ':
m = m[5:]
await rec(self, m)
words = m.split(' ')
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if words[0] == 'admin':
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):
self.db = dataset.connect('sqlite:///database.db')
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self.enmul = 1
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self.raw['nlp'] = filter