def home():
if request.method == 'GET':
# render homepage template
return render_template('boot.html')
else:
# grab POST form data
data = request.form
# parse as JSON
jsondata = json.dumps(data, separators=(',', ':'))
if 'topic' in jsondata:
# load data into dictionary
new_data = json.loads(jsondata)
# create random number for this graph
new_data['rand'] = str(int(random.random() * 999999999))
# connect to twitter
auth = OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
auth.set_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET)
api = tweepy.API(auth)
# get the tweets
tweets = stream.gather_tweets(
api, auth, keyword=new_data['topic'][0],
limit=int(new_data['limit'][0]))
# Create analyzer
analyzer = Analyzer(tweets, new_data['topic'][0])
analyzer.save_sentiment_data(int(new_data['rand']))
# render results page
return redirect((url_for('log', data=json.dumps(new_data),
mode='debug')))
elif 'username' in jsondata:
# load data into dictionary
new_data = json.loads(jsondata)
# create random number for this graph
new_data['rand'] = str(int(random.random() * 999999999))
# connect to twitter
auth = OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
auth.set_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET)
api = tweepy.API(auth)
# get the tweets
tweets = stream.gather_tweets(
api, auth, username=new_data['username'][0], limit=50)
# Create analyzer
analyzer = Analyzer(tweets, new_data['username'][0])
analyzer.save_sentiment_data(int(new_data['rand']))
return redirect((url_for('log', data=json.dumps(new_data),
mode='debug')))
print(tweet.text.encode('utf-8'))
tweets.append(tweet._json)
count += 1
if count > limit:
break
return tweets
elif keyword:
l = StdOutListener()
stream = Stream(auth, l)
global lim
lim = limit
stream.filter(track=[keyword])
with open('tweet_stream.pickle', 'rb') as f:
return pickle.load(f)
else:
raise ValueError('Invalid Arguments. username and keyword both' +
'can\'t be None')
if __name__ == '__main__':
s = 'baltimore'
auth = OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
auth.set_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET)
api = tweepy.API(auth)
# tweets = gather_tweets(username=s) # last 30 tweets
tweets = gather_tweets(keyword=s, limit=30)
# Create analyzer
analyzer = Analyzer(tweets, s)
avg = analyzer.calc_sentiment()
#keywrds = analyzer.get_keywords()
analyzer.save_sentiment_data()