def getSentiment():
print('in server getSentiment')
vQueries = request.args.get("Queries")
print(vQueries)
vQueryTerms = []
for x in vQueries.split(';'):
vQueryTerms.append(x.strip())
print(vQueryTerms)
vTweetCount = request.args.get("TweetCount")
print(vTweetCount)
vTimeout = request.args.get("Timeout")
print(vTimeout)
vFilename = request.args.get("Filename")
vFilename = str(vFilename) + ".csv"
print(vFilename)
print('fetching tweets...')
ft.streamTweets(vQueryTerms, vFilename, vTweetCount, vTimeout)
print('all tweets fetched!!!')
print('processing tweets...')
pt.processTweets(vFilename)
print('all tweets processed!!!')
df = pd.read_csv(os.path.join(tmpFilePath, vFilename), header=None)
print("analyzing sentiment...")
df = sa.analyzeSentiment(df)
# print(df)
msg = {
'mnb_pos_count': int((df[4] == 4).sum()),
'mnb_neg_count': int((df[4] == 0).sum()),
'mnb_tweets': (df.groupby([4], as_index=True).apply(lambda x: x[[0, 1]].to_dict('r')).reset_index().rename(columns={0: 'Data'}).to_json(orient='records')),
'svm_pos_count': int((df[3] == 4).sum()),
'svm_neg_count': int((df[3] == 0).sum()),
'svm_tweets': (df.groupby([3], as_index=True).apply(lambda x: x[[0, 1]].to_dict('r')).reset_index().rename(columns={0: 'Data'}).to_json(orient='records')),
'lr_pos_count': int((df[5] == 4).sum()),
'lr_neg_count': int((df[5] == 0).sum()),
'lr_tweets': (df.groupby([5], as_index=True).apply(lambda x: x[[0, 1]].to_dict('r')).reset_index().rename(columns={0: 'Data'}).to_json(orient='records'))
}
print('removing file : ' + str(vFilename))
os.remove(os.path.join(tmpFilePath, vFilename))
return jsonify(msg)
def TwELEC():
# Fetch form values
# and replace the default values
if request.method == 'POST':
mandatory_keywords=request.form['mkw'].split(" ")
try:
passd=request.form['mdp']
if passd != s_password:
return(render_template("error.html",cause="Echec authentification"))
except KeyError:
return(render_template("error.html",cause="Echec authentification"))
try:
optional_keywords=request.form['okw'].split(" ")
except KeyError:
optional_keywords=[]
try:
hours_before=request.form['hbf']
if hours_before == '':
hours_before=-1
else:
try:
hours_before=int(hours_before)
except ValueError:
hours_before=-1
except KeyError:
hours_before=-1
try:
max_search_hits=request.form['shts']
if max_search_hits == '':
max_search_hits=35
else:
try:
max_search_hits=int(max_search_hits)
except ValueError:
max_search_hits=35
except KeyError:
max_search_hits=35
else:
return(render_template("error.html",cause="Wrong method"))
createDB.createDB()
fetchTweets.fetchTweets(a_token,
a_secret,
c_key,
c_secret,
session_name,
mandatory_keywords,
optional_keywords,
hours_before,
language_string,
hits_page_size,
max_search_hits)
processTweets.processTweets()
return(displayToStr.displayToStr())
# Maximum number of search hits
# may be more depending on
# next multiple of hits_page_size
max_search_hits=35
# Keys to access the twitter API
c_key = ''
c_secret = ''
a_token = ''
a_secret = ''
#####################################################
createDB.createDB()
fetchTweets.fetchTweets(a_token,
a_secret,
c_key,
c_secret,
session_name,
mandatory_keywords,
optional_keywords,
hours_before,
language_string,
hits_page_size,
max_search_hits)
processTweets.processTweets()
displayToHTML.displayToHTML()
