def resultbot():
print(request.method)
form = BotForm(request.form)
(tweets, y) = getTweets(int(request.form['time']))
#acc = accuracy_score(lr_predict_table(tweets),y)
if 'file' not in request.files:
yp = lr_predict_table(tweets, request.form['algo'],
request.form['language'])
else:
file = request.files['file']
if file.filename == '':
yp = lr_predict_table(tweets, request.form['algo'],
request.form['language'])
elif file and allowed_file(file.filename):
yp = model_predict_table(tweets)
else:
yp = lr_predict_table(tweets, request.form['algo'],
request.form['language'])
#yp = lr_predict_table(tweets)
i = 0
right_prediction = 0
array = []
for p in y:
if str(p) == str(yp[i]):
right_prediction = right_prediction + 1
else:
array.append([str(p), str(yp[i])])
i = i + 1
precision = (right_prediction / len(y))
precision = ("{0:.2f}".format(precision))
#return str(type(y)) + str(type(yp))
#return str(right_prediction/len(y)) + str(yp) + str(y) + str(right_prediction) + str(len(y)) + str(array) + str(yp[0])
return render_template('botresult.html', form=form, precision=precision)
def process(query):
print 'start process'
Tree = lambda: defaultdict(Tree)
id = 0
results = {}
for item in twitter.getTweets(query):
tree = Tree()
hashtag = item['name']
tweets = item['tweets']
tree['name'] = hashtag
tree['id'] = id
tmp = {}
for link in item['links']:
link = link.decode("utf-8")
tmp[link] = tmp.get(link, 0) + 1
tree['links'] = sorted(tmp.iteritems(), key=itemgetter(1), reverse=True)
sentiments = [sentiment(item.encode("utf-8")) for item in tweets]
tree['score'] = sum(sentiments)/math.sqrt(len(sentiments))
results[hashtag] = tree
id += 1
#convert the graph
graph = Tree()
graph['nodes'], graph['links'] = [], []
i = 0
for hashtag, value in results.iteritems():
graph['nodes'].append({'name': value['name'], 'score': value['score']})
for link, score in value['links']:
graph['links'].append( {'source': results[link]['id'], 'target': value['id'], 'count': score})
i += 1
f = open('../data/graph.json', 'w')
f.write(json.dumps(graph))
return graph
def search_tweets():
query = request.json['query']
tweets = getTweets(query)
predictions = predict_sentiment(tweets)
predictions = [
sentiments[prediction.index(max(prediction))]
for prediction in predictions
]
sentiment_counts = {'negative': 0, 'neutral': 0, 'positive': 0}
for sentiment in predictions:
sentiment_counts[sentiment] += 1
return jsonify({'results': sentiment_counts}), 200
def user():
user_ip = request.environ['REMOTE_ADDR'] if request.environ.get(
'HTTP_X_FORWARDED_FOR'
) is None else request.environ['HTTP_X_FORWARDED_FOR']
if user_ip not in session:
flash("Please login before entering the user page.")
return redirect(url_for('login'))
changeUsernameError = False
tweets = []
if request.method == 'POST' and 'newUsername' in request.form:
oldUsername = session[user_ip]
newUsername, password = request.form['newUsername'].strip(
), request.form['password'].strip()
if dbFuncs.validate(
oldUsername, password
) and newUsername != '' and dbFuncs.isNewUsername(newUsername):
dbFuncs.changeUsername(oldUsername, newUsername)
session[user_ip] = newUsername
else:
changeUsernameError = True
elif request.method == 'POST' and 'hashtag' in request.form:
hashtag = request.form['hashtag'].strip()
if any(punc in hashtag for punc in
' `~!@#$%^&*()_-+={}[]|\:;<,>.?/\'\"') or hashtag == '':
return render_template('user.html',
twitterError=True,
tweets=[],
changeUsernameError=False,
username=session[user_ip])
tweets = twitter.getTweets(hashtag, consumer_key, consumer_secret,
token_key, token_secret)
return render_template('user.html',
twitterError=False,
tweets=tweets,
changeUsernameError=changeUsernameError,
username=session[user_ip])
def get(self, handle):
results = '{"items" :' + getTweets(handle, "", "") + '}'
return json.loads(results)
def result():
if request.method == 'POST':
handle = request.form['handle']
tweets = getTweets(handle)
return (tweet)