def main():
logger.info("Starting interventions retweeting (pid %s)" % os.getpid())
twitter_stream = TwitterStream(domain="stream.twitter.com", app=1)
db.init_db()
while 1:
for tag_date, tag in TAGS:
retweets = 0
while tag_date == datetime.datetime.now().date():
try:
for status in twitter_stream.stream.statuses.filter(track=tag):
sleep(5)
tweet_id = status.get("id_str")
retweet_ids = [tweet.tweet_id for tweet in db.session.query(ReTweet).all()]
if tweet_id in retweet_ids:
continue
screen_name = status.get("user").get("screen_name")
# Retweet 10 first
if retweets < 5:
reTweet(tweet_id)
logger.info("Retweeted: %s" % tweet_id)
retweets += 1
# Retweet 50 if not BOT
elif retweets <= 16 and screen_name not in BOTS:
reTweet(tweet_id)
logger.info("Retweeted: %s" % tweet_id)
retweets += 1
# Favorite tweet
favorite(tweet_id)
if tag_date != datetime.datetime.now().date():
break
except:
print "Stream connection timeout, restarting..."
def main():
try:
first_sleep = randrange(INITIAL_SLEEP_MAX)
logger.info('Starting retweet script, but first sleeping %d minutes'
% first_sleep)
sleep(60*first_sleep)
# Get tweets
tweets = getTweets(config.TWEET_LIKES,
result_type='mixed')
# Analyze tweets
analyzed = []
db.init_db()
retweets = [tweet.tweet_id for
tweet in db.session.query(ReTweet).all()]
for tweet in tweets:
if tweet.get('id_str') not in retweets:
analyzed.append((analysis.sentiment(tweet.get('text')),
tweet.get('id_str')
)
)
analyzed = sorted(analyzed, key=itemgetter(0), reverse=True)
# Retweet the most positive tweets
retweet_count = randrange(RETWEET_COUNT_MAX)
logger.info('Retweeting %d tweets' % retweet_count)
for i in range(retweet_count):
tweet = analyzed[i]
reTweet(tweet[1])
new_retweet = ReTweet()
new_retweet.tweet_id = tweet[1]
new_retweet.sentiment = tweet[0]
new_retweet.retweet_date = datetime.datetime.now()
db.session.add(new_retweet)
db.session.commit()
sleep_time = randrange(TWEET_SLEEP_MAX)
logger.info(
'Retweeting %d/%d tweet_id: %s, with sentiment %s and sleeping'
' for %d minutes' % (i+1,
retweet_count,
analyzed[0][1],
analyzed[0][0],
sleep_time))
sleep(60*sleep_time)
except Exception, err:
logger.error('%s: %s' % (Exception, err))
