class TestTwitter(TestCase):
def setUp(self):
self.twitter = Twitter(consumer_key=config.CONSUMER_KEY, consumer_secret=config.CONSUMER_SECRET,
access_token_key=config.ACCESS_TOKEN, access_token_secret=config.ACCESS_TOKEN_SECRET)
def test_is_include_symbol(self):
eq_(self.twitter._is_include_symbol('hogehoge'), False)
eq_(self.twitter._is_include_symbol('hogehoge #fuga'), True)
eq_(self.twitter._is_include_symbol('hogehoge http://www.google.com'), True)
eq_(self.twitter._is_include_symbol('このまま眠りつづけて死ぬ #nemuritsuzuketeshinu'), True)
def setUp(self):
self.twitter = Twitter(consumer_key=config.CONSUMER_KEY, consumer_secret=config.CONSUMER_SECRET,
access_token_key=config.ACCESS_TOKEN, access_token_secret=config.ACCESS_TOKEN_SECRET)
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import logging
from twitter_manager import Twitter
from semantics import Semantics
from sentence import Sentence
import config as config
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.DEBUG)
if __name__ == '__main__':
# update mimicry model tweet
twitter = Twitter(consumer_key=config.CONSUMER_KEY, consumer_secret=config.CONSUMER_SECRET,
access_token_key=config.ACCESS_TOKEN, access_token_secret=config.ACCESS_TOKEN_SECRET)
twitter.update_status(config.MIMICRY_MODEL)
# setup natural language recognition env.
message = twitter.get_latest_status_text(config.MIMICRY_MODEL)
if message is None:
logging.error("Mimicry target's tweet is None.")
exit()
semantics = Semantics()
similar_words = semantics.get_similar_words(message)
train_posts = twitter.get_all_status_text()
sentence = Sentence()
sentence.learn(train_posts)
generated_message = sentence.generate(similar_words)
twitter.post(generated_message)
