def main():
query = sys.argv[1]
since, until = sys.argv[2].split("..")
client = TwitterClient(consumer_key=settings.CONSUMER_KEY,
consumer_secret=settings.CONSUMER_SECRET,
access_token_key=settings.ACCESS_TOKEN_KEY,
access_token_secret=settings.ACCESS_TOKEN_SECRET)
result = client.search(query, since, until)
words = sum(
[nagisa.extract(r.text, extract_postags=["名詞"]).words for r in result],
[])
lower_query = query.lower()
without_num = [
w for w in words if not w.isdigit() and not w.lower() == lower_query
]
cloud = WordCloud(background_color="white",
contour_width=5,
contour_color="royalblue").generate(
" ".join(without_num))
plt.figure()
plt.imshow(cloud, interpolation="bilinear")
plt.axis("off")
plt.show()
access_token_secret=environ.get('TWITTER_ACCESS_TOKEN_SECRET', ''),
count_per_search=100
)
db = Db(
environ.get('MONGODB_DATABASE', 'tweet_classify'),
environ.get('MONGODB_TERMS_COLLECTION', 'terms'),
environ.get('MONGODB_TWEETS_COLLECTION', 'tweets'),
environ.get('MONGODB_HOST', 'localhost'),
int(environ.get('MONGODB_PORT', '27017'))
)
get_logger('worker').info('fetching required terms')
total, terms = db.terms(since=datetime.now() - timedelta(minutes=int(environ.get('FETCHER_CRON_INTERVAL', 10))))
get_logger('worker').debug('Total of terms: %d' % total)
for term in terms:
get_logger('worker').debug('term: %s' % term)
get_logger('worker').debug('fetching tweets for %s...' % term['term'])
tweets = twitter_client.search(term['term'], term.get('lastTweetId'))
get_logger('worker').debug("%d tweets founded" % len(tweets))
db.insert_tweet([tweet.AsDict() for tweet in tweets])
if len(tweets) > 0:
db.update_term(term, tweets[0])
rabbitmq.publish_updated_term(term, tweets[0])
rabbitmq.publish_finished_message()