cursor.close() self.connection.commit() except Exception as inst: print type(inst) # the exception instance print inst.args # arguments stored in .args print inst # __str__ allows args to printed directly if not self.queue.empty(): self.classifier = self.queue.get() return False # force a restart of the stream else: return True def on_error(self, status): print status if __name__ == '__main__': query_set = dict() query_set['keyword'] = ['obama', 'usa'] query_set['user'] = ['326698989', '326802887', '314575095', '16573941', '15033883'] queue = Queue.Queue() trainer = AdaptiveTweetClassifierTrainer(queue) l = TweetStreamListener(trainer, queue) auth = OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET) auth.set_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET) stream = Stream(auth, l) while True: stream.filter(follow=query_set['user'], track=query_set['keyword']) query_set = trainer.get_query_set() print "Model loading"