def start_survey(username):
# get the resulting jobs
user_status = utils_users.get_user_status(username)
win_idx_pair = user_status['dataset pairwise'].comparisons[-1, 0]
win_pair = user_status['dataset pairwise'].datapoints[win_idx_pair]
win_pair = utils_jobs.job_array_to_job_dict(win_pair)
win_pair['ID'] = 'pairwise'
win_idx_clust = user_status['logs clustering'][-1][0][0]
win_clust = user_status['dataset clustering'].datapoints[win_idx_clust]
win_clust = utils_jobs.job_array_to_job_dict(win_clust)
win_clust['ID'] = 'clustering'
win_idx_rank = user_status['logs ranking'][-1][0]
win_rank = user_status['dataset ranking'].datapoints[win_idx_rank]
win_rank = utils_jobs.job_array_to_job_dict(win_rank)
win_rank['ID'] = 'ranking'
# shuffle the results
winners = [win_pair, win_clust, win_rank]
winners = np.random.permutation(winners)
return render_template('survey.html', username=username, winners=winners)
def start_survey(username):
# get the resulting traffic
user_status = utils_users.get_user_status(username)
win_idx_pair = user_status['dataset pairwise'].comparisons[-1, 0]
win_pair = -1 * user_status['dataset pairwise'].datapoints[win_idx_pair]
win_idx_rank = user_status['logs ranking'][-1][0]
win_rank = -1 * user_status['dataset ranking'].datapoints[win_idx_rank]
# shuffle the results
order = np.random.permutation([0, 1])
winner_ids = np.array([win_idx_pair, win_idx_rank])[order]
winners = np.array([win_pair, win_rank])[order]
# get the object abbreviations
obj_names = data_traffic.get_objective_names()
obj_abbrev = data_traffic.get_objective_abbrev()
return render_template('survey_traffic.html',
username=username,
winners=winners,
winner_ids=winner_ids,
obj_names=obj_names,
obj_abbrev=obj_abbrev)
def register_user():
username = request.form['username']
# if the input is not OK, set username to None and return
if not re.match('^\w+$', username):
return render_template('index.html', username='******')
# check if user exists already and completed the survey
user_status = utils_users.get_user_status(username)
if len(user_status['survey results']) > 0:
return render_template('index.html', username='******')
utils_users.register_user(username)
return render_template("persona_tutorial.html", username=username)
def get_next_start_jobs(username):
# get the user's stats
user_status = utils_users.get_user_status(username)
experiment_index = np.sum([
user_status[k] for k in [
'experiment pairwise',
'experiment clustering',
'experiment ranking',
]
])
if experiment_index < 3:
job_idx = user_status['order start jobs'][experiment_index]
start_job_indices = specs_jobs.START_JOB_INDICES[job_idx]
start_jobs = get_jobs()[start_job_indices]
else:
start_jobs = None
return start_jobs