from bot import * import dataset, random, time, re def get(l, i): try: if i <= len(l) and i >= 0: return l[i] else: return "" except IndexError: return "" async def rec(self, m): prew = shared.db["prew"] noch = shared.db["noun"] beg = shared.db["beg"] end = shared.db["end"] words = m.split() if words[0] == "admin" or len(words) < 2: return beg.insert(dict(word=words[0])) end.insert(dict(word=words[-1])) for w in range(len(words)): if w > 0: prew.insert_ignore( dict( pre3=get(words, w - 3), pre2=get(words, w - 2), pre=get(words, w - 1), pro=get(words, w), pro2=get(words, w + 1), pro3=get(words, w + 2), ), ["id"], ) noch.insert(dict(word=w)) async def getNoun(self, words, c): if c in shared.cstate: oldnoun = shared.cstate[c] else: oldnoun = None nouns = shared.db["noun"] out = {} for i in words: out[i] = nouns.count(word=i) noun = min(out, key=out.get) conversation = shared.db["conver"] if oldnoun != None: print("adding", [oldnoun, noun]) conversation.insert_ignore(dict(pre=oldnoun, pro=noun), ["id"]) nextnoun = [i["pro"] for i in conversation.find(pre=noun)] print("nextnoun:", nextnoun) if len(nextnoun) > 0: noun = random.choice(nextnoun) shared.cstate[c] = noun return noun async def genOut(self, noun): prew = shared.db["prew"] beg = shared.db["beg"] end = shared.db["end"] nouns = shared.db["noun"] iter = 0 coun = 0 out = [noun] while ( beg.find_one(word=out[0]) is None or beg.count(word=out[0]) - 1 > iter * shared.enmul ) and iter < shared.maxiter: try: out = [ random.choice(list(prew.find(pro=out[0], pro2=out[1], pro3=out[2])))[ "pre" ] ] + out except IndexError: try: out = [ random.choice(list(prew.find(pro=out[0], pro2=out[1])))["pre"] ] + out except IndexError: try: out = [random.choice(list(prew.find(pro=out[0])))["pre"]] + out except IndexError: iter += 69 iter += 1 coun += 1 iter = 0 while ( end.find_one(word=out[-1]) is None or end.count(word=out[-1]) - 1 > iter * shared.enmul ) and iter < shared.maxiter: try: out.append( random.choice(list(prew.find(pre3=out[-3], pre2=out[-2], pre=out[-1])))[ "pro" ] ) except IndexError: try: out.append( random.choice(list(prew.find(pre2=out[-2], pre=out[-1])))["pro"] ) except IndexError: try: out.append(random.choice(list(prew.find(pre=out[-1])))["pro"]) except IndexError: iter += 69 iter += 1 coun += 1 if coun <= 4: shared.enmul -= 0.1 elif coun >= shared.maxiter: shared.enmul += 0.1 return out async def filter(self, c, n, m): if c in shared.qtime and shared.qtime[c] > time.time(): return if m[: len(shared.prefix)] == shared.prefix: m = m[len(shared.prefix) :] await go(self, c, n, m) elif m[: len(self.nickname) + 1] == self.nickname + " ": m = m[len(self.nickname) + 1 :] await go(self, c, n, m) elif "#" not in c and n != self.nickname: await go(self, c, n, m) else: if len(m.split()) > 1: if shared.learntime + shared.learndelay < time.time(): await rec(self, m) shared.learntime = time.time() async def go(self, c, n, m): await rec(self, m) words = re.sub(r"([\.,\?!])", r" \1", m).split() if words[0] == "admin": return msg = re.sub( r" ([\.,\?!])", r"\1", " ".join(await genOut(self, await getNoun(self, words, c))), ) if msg[-1] == "\x01" and msg[0] != "\x01": msg = msg[:-1] await self.message(c, msg) async def init(self): shared.qtime = {} shared.learntime = 0 # delay between grabbing random messages and passively # learning. shared.learndelay = 1 # sentance ending weight, lower means longer sentances, # higher means shorter sentances. this will need to slowly # get larger as the database grows shared.enmul = 2 shared.maxiter = 14 shared.rawm["nlp"] = filter shared.cstate = {}