def tableAppend(request):
username = sharedLib.getUserName(request)
data={}
data['user']=username
data['DataFrame']=DataFrame
data['gmtTime']=withGMT(username)
return render(request, 'flow/usecase_templates/tweetDisplayTable.html', data)
def getPieChart(request):
username = sharedLib.getUserName(request)
sentiments = final_df['Sentiments'].astype(str).value_counts()
fig = {"data": [{"labels": sentiments.index ,"values": sentiments.values,"type": "pie"}]}
py.plot(fig, filename=sharedLib.getFilePath('twitterSentiment', username)+'pie', auto_open=False)
data={}
data['user']=username
data['pieImage']='pieChart'
return render(request,'flow/usecase_templates/twitterPieChart.html', data)
def displayHashTag(request):
username = sharedLib.getUserName(request)
#api=twitterAuth()
worldwide_trends=api.trends_place(1)
trandingHashtag=[tweets['name'] for tweets in worldwide_trends[0]['trends']]
filteredHashTag=[]
for hashTag in trandingHashtag:
if(hashTag.startswith('#') and bool(re.match('[a-zA-Z0-9_]+$',hashTag.split('#')[-1]))):
filteredHashTag.append(hashTag)
elif(bool(re.match('[a-zA-Z0-9_]+$',hashTag))):
filteredHashTag.append(hashTag)
data={'user':username,'filteredHashTag':filteredHashTag}
return JsonResponse(data)
def tweetSentiment(request):
print("inside tweetSentiment*********")
username = sharedLib.getUserName(request)
hashtag=None
selectedhashtag = request.GET.get('hashtag')
userEntered=request.GET.get('enterHash')
print("selectedhashtag= ",selectedhashtag)
print("userEntered = ",userEntered)
if(userEntered!=''):
hashtag=userEntered
else:
hashtag=selectedhashtag
#api=twitterAuth()
df = pd.DataFrame()
text = []
user=[]
tweetTime=[]
# if(hashtag.startswith('#')):
# hashtag='https://api.twitter.com/1.1/search/tweets.json?q=%23'+hashtag.split('#')[-1]
# print("hashtag.startswith('#')= ",hashtag.startswith('#'))
# print("hashtag ********** =",hashtag)
for tweet in tweepy.Cursor(api.search, q=hashtag,lang='en').items(200):
text.append(tweet.text)
user.append(tweet.user.screen_name)
tweetTime.append(tweet.created_at)
if(len(text)!=0):
try:
df['text']=text
df['user']=user
df['createdAt']=tweetTime
words = set(nltk.corpus.words.words())
stopword_set = set(stopwords.words("english"))
refinedTweets=[]
for tweet in df['text']:
refinedWords=[]
for word in tweet.split(' '):
word=re.sub(r'[|!|.|:|+|?|,|-|*|%|/]','',word)
if(bool(re.match('[a-zA-Z_]+$',word)) and not word.startswith('RT') and word in words and not word in stopword_set and len(word)!=1):
refinedWords.append(word)
refinedTweets.append(' '.join(refinedWords))
df['refinedTweets']=refinedTweets
global final_df
final_df = pd.DataFrame()
final_user=[]
final_text=[]
final_time=[]
text_sentiment=[]
for i in range(df.shape[0]):
if(len(df['refinedTweets'][i])!=0):
score,sentiment=sentiment_textblob(df['refinedTweets'][i])
final_user.append(df['user'][i])
final_text.append(df['text'][i])
final_time.append(df['createdAt'][i])
text_sentiment.append(sentiment)
final_df['User']=final_user
final_df['Tweets']=final_text
final_df['CreatedAt']=final_time
final_df['Sentiments']=text_sentiment
global DataFrame
DataFrame=[]
DataFrame.append(list(final_df.columns))
for i in range(final_df.shape[0]):
DataFrame.append(list(final_df.iloc[i]))
data={}
data['user']=username
#data['DataFrame']=DataFrame
data['gmtTime']=withGMT(username)
data['error']='false'
#return render(request, 'flow/usecase_templates/tweetTable.html', data)
return JsonResponse(data)
except:
data={}
data['user']=username
data['gmtTime']=withGMT(username)
data['error']='True'
data['errorMsg']=str(sys.exc_info())
return JsonResponse(data)
elif(len(text)==0):
data={}
data['user']=username
data['gmtTime']=withGMT(username)
data['error']='True'
data['errorMsg']="The given <b>"+hashtag+"</b> Hashtag or word contains only Non-English Tweets so, can't do analysis."
#return render(request, 'flow/usecase_templates/twitter.html', data)
return JsonResponse(data)
def twitterInit(request):
username = sharedLib.getUserName(request)
# print(sys.exc_info()[1])
data={'user':username,'gmtTime':withGMT(username)}
return render(request, 'flow/usecase_templates/twitter.html', data)
def pieChart(request):
username = sharedLib.getUserName(request)
graphPath=sharedLib.getFilePath('twitterSentiment', username)+'pie.html'
print("graphPath= ",graphPath)
return render(request,graphPath)