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])