def login(request):
"""
Author: @niger
Check uni and password against oath library and then add user data to User table
"""
import oauth
from roary.models import User
uni = request.POST.get('uni', '')
password = request.POST.get('password', '')
import sync
#sync.google_music("*****@*****.**","naomipurnell")
data = oauth.login(uni, password)
if data:
user = User(uni=data['uni'],
department=data['dept'],
dorm=data['dorm'])
user.save()
request.session['uni'] = uni
return redirect(
'/index'
) # Generic 200 response, replace with actual response later
else:
return redirect('/index?success=fail')
from tweepy.streaming import StreamListener
from tweepy import Stream
from oauth import login
class StdOutListener(StreamListener):
""" This listener handles tweets that are received from the stream.
This is a basic listener that just prints received tweets to stdout."""
def on_data(self, data):
print(data['text'])
return True
def on_error(self, status):
print(status)
if __name__ == '__main__':
l = StdOutListener()
auth = login()[0]
set_auth = login()[1]
stream = Stream(auth, l)
stream.filter(track=['basketball']).text
from oauth import login
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
from datetime import date
import csv
import tweepy
analyzer = SentimentIntensityAnalyzer()
api = login()[2]
screen_name = "realDonaldTrump"
today = date.today()
#timeline = api.user_timeline(screen_name=screen_name,count=1000)
count = 1
#TODO: Make this more functional so we can get sentiment analysis by users last few tweets. Turn this into a "what type of tweeter are you website or something like that
fields = [
'Number', 'Tweet Text', 'Negative Score', 'Positive Score',
'Retweet Count', 'Like Count'
]
print("Now gathering tweet data for %s..." % screen_name)
with open('%s-%s-sentimentanalysis.csv' % (today, screen_name), 'w') as stats:
stats_writer = csv.writer(stats)
stats_writer.writerow(fields)
page_list = []
for page in tweepy.Cursor(api.user_timeline, count=200,
def connect():
#log.debug("Logging in...")
r = oauth.login()
return r