Python Markov.make_db示例

def main(params, tracklist):
    # twitter info
    consumer_key = params.get('twitter', 'consumer_key')
    consumer_secret = params.get('twitter', 'consumer_secret')
    access_token = params.get('twitter', 'access_token')
    access_token_secret = params.get('twitter', 'access_secret')

    # auth & api
    auth = tweepy.auth.OAuthHandler(consumer_key, consumer_secret)
    auth.set_access_token(access_token, access_token_secret)
    api = tweepy.API(auth)

    # markov
    corpus = params.get('markov', 'corpus')
    is_pickled = params.getboolean('markov', 'pickled')
    m = Markov(corpus)
    if is_pickled:
        m.load_db()
    else:
        m.make_db()

    # listener
    print 'Starting listener for "{}"...'.format(', '.join(tracklist))
    listener = Listener(m, is_pickled, api=api)
    stream = tweepy.Stream(auth, listener)
    stream.filter(track=tracklist)

示例#2

显示文件

文件： twit.py 项目： Battleroid/anangrybot

def main(params):
    consumer_key = params.get('twitter', 'consumer_key')
    consumer_secret = params.get('twitter', 'consumer_secret')
    access_token = params.get('twitter', 'access_token')
    access_token_secret = params.get('twitter', 'access_secret')

    auth = tweepy.auth.OAuthHandler(consumer_key, consumer_secret)
    auth.set_access_token(access_token, access_token_secret)
    api = tweepy.API(auth)

    corpus = params.get('markov', 'corpus')
    is_pickled = params.getboolean('markov', 'pickled')
    m = Markov(corpus)
    if is_pickled:
        m.load_db()
    else:
        m.make_db()

    text = m.gen(climit=140)
    api.update_status(text)