def table_cluster():
if request.data:
username = json.loads(request.data).get('username')
try:
if session['username'] == username:
modelcluster = Model()
result = modelcluster.select_cluster()
data = {}
data.setdefault('data', result)
modelcluster.close_connection()
return jsonify(data)
else:
return redirect(url_for('login'))
except Exception as error:
print(error)
return redirect(url_for('login'))
else:
return redirect(url_for('login'))
def delete_keyword():
if request.data:
username = json.loads(request.data).get('username')
keyword = json.loads(request.data).get('keyword')
try:
if session['username'] == username:
modeltwitter = Model()
result = modeltwitter.delete_keyword_twitter(keyword)
data = {}
data.setdefault('succes', True)
modeltwitter.close_connection()
return jsonify(data)
else:
return redirect(url_for('login'))
except Exception as error:
print(error)
return redirect(url_for('login'))
else:
return redirect(url_for('login'))
def edit_kbba():
if request.data:
username = json.loads(request.data).get('username')
alay_before = json.loads(request.data).get('alay_before')
alay_after = json.loads(request.data).get('alay_after')
baku_before = json.loads(request.data).get('baku_before')
baku_after = json.loads(request.data).get('baku_after')
try:
if session['username'] == username:
modelkbba = Model()
result = modelkbba.edit_kbba(alay_after, baku_after,
alay_before, baku_before)
modelkbba.close_connection()
return jsonify(result)
else:
return redirect(url_for('login'))
except Exception as error:
print(error)
return redirect(url_for('login'))
else:
return redirect(url_for('login'))
def visualitation():
if 'username' not in session:
return redirect(url_for('login'))
modeltraining = Model()
list_keyword = modeltraining.select_model_keyword()
modeltraining.close_connection()
return render_template('admin/pages/visualitation.html',
keyword=list_keyword,
username=session['username'])
def training():
if 'username' not in session:
return redirect(url_for('login'))
if chache[session['username']]['statustraining'] == 0 and session[
'process_training']:
session['process_training'].remove(1)
session.modified = True
modellabel = Model()
emoticon = modellabel.select_label()
modellabel.close_connection()
return render_template('admin/pages/training.html',
username=session['username'],
training=session['process_training'],
emoticon=emoticon)
def check_min_max_tweet():
if request.data:
username = json.loads(request.data).get('username')
keyword = json.loads(request.data).get('keyword')
try:
if session['username'] == username:
modeltwitter = Model()
dict_result = modeltwitter.select_min_max_tweet(keyword)
modeltwitter.close_connection()
return jsonify(dict_result)
else:
return redirect(url_for('login'))
except Exception as error:
print(error)
return redirect(url_for('login'))
else:
return redirect(url_for('login'))
def table_preprocessing_keyword():
if request.data:
username = json.loads(request.data).get('username')
keyword = json.loads(request.data).get('keyword')
try:
if session['username'] == username:
modeltwitter = Model()
data_preprocessing = modeltwitter.select_keyword_not_preprocessing(
keyword)
modeltwitter.close_connection()
# backgroundprocess_preprocessing(keyword, data_preprocessing, username)
worker = threading.Thread(
target=backgroundprocess_preprocessing,
args=(
keyword,
data_preprocessing,
username,
))
worker.daemon = True
worker.start()
chache[session['username']]['statuspreprocessing'] = 1
data = {}
data['statuspreprocessing'] = chache[
session['username']]['statuspreprocessing']
session['process_preprocessing'].append(1)
session.modified = True
return jsonify(data)
else:
return redirect(url_for('login'))
except Exception as error:
print(error)
return redirect(url_for('login'))
else:
return redirect(url_for('login'))
def delete_label():
if request.data:
username = json.loads(request.data).get('username')
id_label = json.loads(request.data).get('id_label')
try:
if session['username'] == username:
modellabel = Model()
result = modellabel.delete_label(id_label)
modellabel.close_connection()
return jsonify(result)
else:
return redirect(url_for('login'))
except Exception as error:
print(error)
return redirect(url_for('login'))
else:
return redirect(url_for('login'))
def delete_stopword():
if request.data:
username = json.loads(request.data).get('username')
word = json.loads(request.data).get('word')
try:
if session['username'] == username:
modelstopword = Model()
result = modelstopword.delete_stopword(word)
modelstopword.close_connection()
return jsonify(result)
else:
return redirect(url_for('login'))
except Exception as error:
print(error)
return redirect(url_for('login'))
else:
return redirect(url_for('login'))
def backgroundprocess_preprocessing(keyword, data_preprocessing, username):
model = Model()
tfidf = TfIdf(model)
preprocessing = Preprocessing(model)
list_id_tweet = []
list_tweet_stemming = []
list_tfidf = []
try:
model.delete_clustered(keyword)
for data_tweet in data_preprocessing:
id_tweet, tweet_stemming = background_preprocessing(
data_tweet, keyword, preprocessing, model)
list_id_tweet.append(id_tweet)
list_tweet_stemming.append(tweet_stemming)
tfidf.word_idf(list_tweet_stemming, keyword)
list_idf = model.select_idf(keyword)
for index, tweet_steming in enumerate(list_tweet_stemming):
id_tweet = list_id_tweet[index]
tweet_tfidf = tfidf.tf_idf(
preprocessing.tokennizing(tweet_steming), keyword, list_idf)
model.update_tfidf(id_tweet, keyword, tweet_tfidf)
list_tfidf.append({'id': id_tweet, 'tfidf': tweet_tfidf})
data = sorted(list_tfidf, key=lambda k: k['id'])
model.update_vocab_config(data, keyword)
except Exception as error:
print(error)
finally:
chache[username]['statuspreprocessing'] = 0
model.close_connection()
def delete_kbba():
if request.data:
username = json.loads(request.data).get('username')
alay = json.loads(request.data).get('alay')
baku = json.loads(request.data).get('baku')
try:
if session['username'] == username:
modelkbba = Model()
result = modelkbba.delete_kbba(alay, baku)
modelkbba.close_connection()
return jsonify(result)
else:
return redirect(url_for('login'))
except Exception as error:
print(error)
return redirect(url_for('login'))
else:
return redirect(url_for('login'))
def visualitation_show():
if request.data:
username = json.loads(request.data).get('username')
keyword = json.loads(request.data).get('keyword')
try:
if session['username'] == username:
modelcluster = Model()
data = modelcluster.select_cluster_plot(keyword)
modelcluster.close_connection()
return jsonify(data)
else:
return redirect(url_for('login'))
except Exception as error:
print(error)
return redirect(url_for('login'))
else:
return redirect(url_for('login'))
def index():
modeltraining = Model()
list_keyword = modeltraining.select_model_keyword()
modeltraining.close_connection()
return render_template('index.html', keyword=list_keyword)
