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"
