def update():
"""Tweet!"""
with open('history.txt', 'rb') as hf:
history = json.loads(hf.read())['history']
tweet = ''
while True:
tweet = brains.new_tweet(
filter(None, map(tools.tidy, tools.sentence_corpus(history)))
)
if len(tweet) <= 140:
break
# Connect.
api = twitter.Api(
os.environ['CONSUMER_KEY'],
os.environ['CONSUMER_SECRET'],
os.environ['ACCESS_TOKEN'],
os.environ['ACCESS_TOKEN_SECRET'],
cache=None,
)
# Post away!
api.PostUpdate(tweet)
time.sleep(12 * 60 * 60)
return tweet
def test_corpus_to_sentences():
"""Converts a corpus of tweets to a corpus of sentences."""
tweets = ["Hello, how're you? I'm great. Good.", "beer", "Gone fishing?"]
assert tools.sentence_corpus(tweets) == ["Hello, how're you", "I'm great", "Good", "beer", "Gone fishing"]
