def get_tweets(query, result_type, max_tweets):
# Search the Twitter API for the given title
twitter_client = Twitter(CONFIG['twitter'])
tweet_data = twitter_client.search(
"\"%s\" movie -download -stream -#nw -#nowwatching -RT" % (query, ),
result_type=result_type,
count=max_tweets)
if DEBUG:
print "Retrieved %d tweets (with result type %s)." % (len(tweet_data),
result_type)
# if DEBUG:
# print json.dumps(tweet_data[0], sort_keys=True, indent=4, separators=(',', ': '))
# Build simple Twitter objects
tweets = map(Tweet, tweet_data)
# Add a filtered version of the tweet text
pattern = re.compile(query.replace(" ", " ?"), re.I)
for tweet in tweets:
tweet.sentiment = get_cached_tweet_sentiment(tweet.id)
tweet.filtered_text = pattern.sub('', tweet.text)
return tweets
def add_tweetstream(body):
# convert the query to a search query string
s = Twitter.search(body["query"])
twitter.TweetStream(station_id=body["station_id"],
stream_query=str(s)).put()
return body
def add_tweetstream(body):
# convert the query to a search query string
s = Twitter.search( body["query"] )
twitter.TweetStream(station_id = body["station_id"],
stream_query = str(s) ).put()
return body
def refresh_tweetstream(tweetstream_key):
log.info("refreshing tweetstream %s" % tweetstream_key)
# the stream to update
stream = twitter.TweetStream.get_by_urlsafe(tweetstream_key)
# refresh the query
s = Twitter.search(qs=stream.stream_query) # based on the query string
s.fetch(process_tweets, {"stream-key": tweetstream_key})
def refresh_tweetstream( tweetstream_key ):
log.info("refreshing tweetstream %s" % tweetstream_key )
# the stream to update
stream = twitter.TweetStream.get_by_urlsafe(tweetstream_key)
# refresh the query
s = Twitter.search( qs = stream.stream_query ) # based on the query string
s.fetch(process_tweets, {"stream-key":tweetstream_key})
def get_tweets(query, result_type, max_tweets):
# Search the Twitter API for the given title
twitter_client = Twitter(CONFIG['twitter'])
tweet_data = twitter_client.search("\"%s\" movie -download -stream -#nw -#nowwatching -RT" % (query,), result_type=result_type, count=max_tweets)
if DEBUG: print "Retrieved %d tweets (with result type %s)." % (len(tweet_data), result_type)
# if DEBUG:
# print json.dumps(tweet_data[0], sort_keys=True, indent=4, separators=(',', ': '))
# Build simple Twitter objects
tweets = map(Tweet, tweet_data)
# Add a filtered version of the tweet text
pattern = re.compile(query.replace(" ", " ?"), re.I)
for tweet in tweets:
tweet.sentiment = get_cached_tweet_sentiment(tweet.id)
tweet.filtered_text = pattern.sub('', tweet.text)
return tweets
