def submit_ranking():
# get the username and their dataset
username = request.form['username']
number_counter = int(request.form['number_counter'])
if number_counter < len(NUMBERS):
# get the ranking the user submitted
ranking = np.fromstring(request.form['rankingResult'], sep=',', dtype=np.int)
new_number = NUMBERS[number_counter]
number_counter += 1
return render_template("query_ranking_tutorial.html", username=username, numbers_unranked=[new_number],
numbers_ranked=ranking, number_counter=number_counter)
else:
# update the tutorial stats of the user
utils_users.update_tutorial_status('ranking', username)
# get the user's status on the tutorials
tutorial_status = utils_users.get_tutorial_status(username)
return render_template("navi_tutorial.html", username=username, pairwise_fin=tutorial_status[0],
clustering_fin=tutorial_status[1], ranking_fin=tutorial_status[2])
def choose_pairwise():
# get current user
username = request.form['username']
# find out whether user clicked left or right button (0=left, 1=right)
winner = request.form['winner']
number_clicked = request.form['number_clicked']
number_counter = int(request.form['number_counter'])
button_type = request.form['buttonType']
if number_counter < len(NUMBERS) and button_type == 'next':
# sort according to what user did last round
if number_clicked == "1":
number1 = winner
number2 = NUMBERS[number_counter]
else:
number1 = NUMBERS[number_counter]
number2 = winner
number_counter += 1
return render_template("query_pairwise_tutorial_traffic.html",
username=username,
number1=number1,
number2=number2,
number_counter=number_counter,
number_clicked=number_clicked,
side_clicked=number_clicked)
else:
# update the tutorial stats of the user
utils_users.update_tutorial_status('pairwise', username)
# get the user's status on the tutorials
tutorial_status = utils_users.get_tutorial_status(username)
return render_template("navi_tutorial_traffic.html",
username=username,
pairwise_fin=tutorial_status[0],
clustering_fin=tutorial_status[1],
ranking_fin=tutorial_status[2])
def submit_clustering_tutorial():
# get the username and their dataset
username = request.form['username']
number_counter = int(request.form['number_counter'])
if number_counter < len(NUMBERS):
# get the clusters the user submitted
top_number = [int(request.form['top-cluster'])]
good_numbers = np.fromstring(request.form['good-cluster'],
sep=',',
dtype=int)
bad_numbers = np.fromstring(request.form['bad-cluster'],
sep=',',
dtype=int)
new_number = NUMBERS[number_counter]
number_counter += 1
# save
return render_template('query_clustering_tutorial.html',
username=username,
numbers_unranked=[new_number],
top_number=top_number,
good_numbers=good_numbers,
bad_numbers=bad_numbers,
number_counter=number_counter)
else:
# update the tutorial stats of the user
utils_users.update_tutorial_status('clustering', username)
# get the user's status on the tutorials
tutorial_status = utils_users.get_tutorial_status(username)
return render_template("navi_tutorial.html",
username=username,
pairwise_fin=tutorial_status[0],
clustering_fin=tutorial_status[1],
ranking_fin=tutorial_status[2])