def for_everyone(self, status):
text_lower = status["text"].lower()
text = ENTITIES.sub("", status["text"])
sentence = G.wakati(text)
self.learn(sentence, status["in_reply_to_status_id"])
level = 0
if status["in_reply_to_screen_name"] == None:
level += 1
elif status["in_reply_to_screen_name"] == self.screen_name:
level += 2
if re.search("@" + self.screen_name.lower() + "[^\w_]", text_lower):
level += 2
if level >= 1:
action = self.voluntary(text)
if action:
return action(status)
if level >= 2:
self.talked.append(status["user"]["screen_name"])
if level >= 4:
action = self.pattern(text)
if action:
return action(status)
return self.reply(status, G.format_words(random.choice(G.generate(self.markov_table, self.assoc_table, sentence, N=8, P=50, first=0.5, extra=6))[0], conversation=True).format(name=status["user"]["name"]))
return Return(IOZero)
def learn(self, sentence, in_reply_to_status_id):
self.markov_table.update(sentence)
if in_reply_to_status_id:
G.update_association(self.assoc_table,
G.wakati(ENTITIES.sub("", self.api.showStatus(id=in_reply_to_status_id)["text"])),
sentence)
