117 lines
3.2 KiB
Python
117 lines
3.2 KiB
Python
from bot import *
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import dataset
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import random
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import time
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async def rec(self, m):
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prew = shared.db['prew']
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noch = shared.db['noun']
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beg = shared.db['beg']
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end = shared.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_ignore(dict(pre=pre, pro=w),['id'])
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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, c):
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if c in shared.cstate:
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oldnoun = shared.cstate[c]
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else:
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oldnoun = None
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shared.db['remsg'].insert_ignore(dict(noun=oldnoun,msg=' '.join(words)),['id'])
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nouns = [i['word'] for i in shared.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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noun = min(out, key=out.get)
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conversation = shared.db['conver']
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if oldnoun != None:
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print("adding", [oldnoun,noun])
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conversation.insert_ignore(dict(pre=oldnoun,pro=noun),['id'])
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nextnoun = [i['pro'] for i in conversation.find(pre=noun)]
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print("nextnoun:",nextnoun)
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if len(nextnoun) > 0:
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noun = random.choice(nextnoun)
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shared.cstate[c] = noun
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return noun
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async def genOut(self, noun):
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oldresponses = [i['msg'] for i in shared.db['remsg'].find(noun=noun)]
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if len(oldresponses) > 0:
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return random.choice(oldresponses).split(' ')
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prew = shared.db['prew']
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beg = [ i['word'] for i in shared.db['beg'].find() ]
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end = [ i['word'] for i in shared.db['end'].find() ]
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nouns = [i['word'] for i in shared.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 * shared.enmul) and iter < 7:
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try:
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out = [ random.choice(list(prew.find(pro=out[0])))['pre'] ] + out
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except IndexError:
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iter += 69
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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 * shared.enmul) and iter < 7:
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try:
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out.append(random.choice(list(prew.find(pre=out[-1])))['pro'])
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except IndexError:
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iter += 69
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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 c in shared.qtime and shared.qtime[c] > time.time():
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return
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if m[:len(shared.prefix)] == shared.prefix:
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m = m[len(shared.prefix):]
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await go(self, c, n, m)
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elif m[:len(self.nickname)+1] == self.nickname+' ':
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m = m[len(self.nickname)+1:]
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await go(self, c, n, m)
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elif '#' not in c and n != self.nickname:
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await go(self, c, n, m)
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else:
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if len(m.split(' ')) > 1:
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if shared.learntime + shared.learndelay < time.time():
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await rec(self, m)
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shared.learntime = time.time()
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async def go(self, c, n, m):
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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, c))))
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async def init(self):
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shared.qtime = {}
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shared.learntime = 0
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# delay between grabbing random messages and passively
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# learning.
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shared.learndelay = 1
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# sentance ending weight, lower means longer sentances,
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# higher means shorter sentances. this will need to slowly
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# get larger as the database grows
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shared.enmul = 6
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shared.rawm['nlp'] = filter
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shared.cstate = {}
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