def introduction():
if g.user == None:
return redirect(url_for('login'))
if request.method == 'GET':
example_index = request.args.get('example', default=0, type=int)
create_table_from_csv(example_index)
json_object = get_db_data_json(example_index)
json_dataset = yaml.safe_load(json_object)["records"]
dataset_stat = dataset_pre_analysis(json_dataset)
dataset_face = dataset_preprocess(json_dataset, dataset_stat)
db.session.add(
User_Action('user made dataset selection {}'.format(example_index),
session['user_id']))
db.session.add(User_Action('user at intro page',
session['user_id'])) #log data
db.session.commit()
return render_template(
'introduction.html',
json_data=json_object,
dataset_face=dataset_face,
example=str(example_index),
title='Introduction') #render next page with passing json object
else:
return 'Invalid Data'
def cluster():
if g.user == None:
return redirect(url_for('login'))
if request.method == 'GET':
example_index = request.args.get('example', default=0, type=int)
k_value = request.args.get('k', default=2, type=int)
unmapped = request.args.getlist('unmapped')
unmapped_list = [str(x) for x in unmapped]
unmapped_list = unmapped_list[0].split(',')
# print('--------')
# print(k_value)
json_object = get_db_data_json(example_index)
json_dataset = yaml.safe_load(json_object)["records"]
dataset_stat = dataset_pre_analysis(json_dataset)
dataset_face = dataset_preprocess(json_dataset, dataset_stat)
# dataset_array, centroids, labels = clustering(k_value, json_dataset)
dataset_array, centroids, labels = clustering(k_value, dataset_face,
unmapped_list)
if example_index == 2 and k_value == 4:
f = open('example2.json', )
data = json.load(f)
json_cluster = json.dumps(data)
# print('--------')
f.close()
else:
json_cluster = json4cluster(dataset_array, centroids, labels,
example_index, dataset_face)
# with open('cluster.json', 'w') as outfile:
# json.dump(json_cluster , outfile)
db.session.add(
User_Action(
'user at cluster page with k value {} and unmapped features {}'
.format(k_value,
unmapped_list), session['user_id'])) #log data
db.session.commit()
return render_template('cluster2.html',
example=str(example_index),
json_data=json_object,
dataset_face=dataset_face,
centroids=centroids,
k=k_value,
json_cluster=json_cluster,
title='Automatic Clustering')
else:
return 'Invalid Data'
def compare():
if g.user == None:
return redirect(url_for('login'))
if request.method == 'GET':
example_index = request.args.get('example', default=0, type=int)
json_object = get_db_data_json(example_index)
json_dataset = yaml.safe_load(json_object)["records"]
dataset_stat = dataset_pre_analysis(json_dataset)
dataset_face = dataset_preprocess(json_dataset, dataset_stat)
db.session.add(User_Action('user at compare page',
session['user_id'])) #log data
db.session.commit()
return render_template('compare.html',
example=str(example_index),
json_data=json_object,
dataset_face=dataset_face,
title='Smilarity Comparison')
else:
return 'Invalid Data'
def feature_map():
if g.user == None:
return redirect(url_for('login'))
if request.method == 'GET':
example_index = request.args.get('example', default=0, type=int)
create_table_from_csv(example_index)
json_object = get_db_data_json(example_index)
json_dataset = yaml.safe_load(json_object)["records"]
dataset_stat = dataset_pre_analysis(json_dataset)
dataset_face = dataset_preprocess(json_dataset, dataset_stat)
db.session.add(
User_Action('user at feature mapping page',
session['user_id'])) #log data
db.session.commit()
return render_template('feature_map.html',
json_data=json_object,
dataset_face=dataset_face,
example=str(example_index),
title='Make Your Emoji')
else:
return 'Invalid Data'