def index(request):
clips = Clips_Adaptor()
tweets = clips.search_tweets()
#TODO: create template file and pull HTML out of here
response = '''
<html>
<head>
<title>Tweets</title>
</head>
<body>
<ol>
%s
</ol>
</body>
</html>
''' % '\n'.join(['<li>%s</li>' % tweet.text for tweet in tweets])
return HttpResponse(response)
def results(request):
'''
Renders the results page
'''
if request.method == "GET":
clips = Clips_Adaptor()
mongodb = Mongo_Service()
name = request.GET.__getitem__("artistname")
## If no input given, stay on search page
if name == "":
context = RequestContext(request,{
})
return render_to_response('CelebResults/index.html', context)
## Search tweets in mongo
tweets = mongodb.search_tweets(name)
## If none found, search twitter
if len(tweets) == 0:
tweets = clips.search_tweets(name)
coords = []
for tweet in tweets:
tweet["text"]=tweet["text"].encode('ascii','ignore')
tweet["text"]=tweet["text"].replace('"','')
try:
curr_coords = tweet["coordinates"]
if curr_coords["type"] == 'Point':
coords.append(curr_coords["coordinates"])
except:
coords.append([-200,-200])
print coords
## Score the tweets with sentiment analysis
scores = clips.get_sentiment(tweets)
context = RequestContext(request, {'tweets':tweets, 'scores': scores, 'coordinates': coords})
return render_to_response('CelebResults/results.html', context)