def get_network_viz_data():
counts = stats.get_questionnaire_counts()
viz_data = []
for qid, s in counts.items():
area_info = {
'name': QUESTIONNAIRES_BY_ID[qid]['name'],
'total': s['learn'] + s['explain'] + s['connect'] + s['do']
}
area_info.update(skills_to_percentages(s))
viz_data.append(area_info)
viz_data = sorted(viz_data, key=lambda area_info: area_info['total'],
reverse=True)
return viz_data
def get_network_viz_data():
counts = stats.get_questionnaire_counts()
viz_data = []
for qid, s in counts.items():
area_info = {
'name': QUESTIONNAIRES_BY_ID[qid]['name'],
'total': s['learn'] + s['explain'] + s['connect'] + s['do']
}
area_info.update(skills_to_percentages(s))
viz_data.append(area_info)
viz_data = sorted(viz_data,
key=lambda area_info: area_info['total'],
reverse=True)
return viz_data
def render_user_profile(userid=None, **kwargs):
if userid is None:
user = current_user
else:
user = User.query_in_deployment().filter_by(id=userid).first_or_404()
area_scores = user.get_area_scores()
kwargs['user'] = user
overview_data = {}
viz_data = []
kwargs['overview_data'] = overview_data
for qid, score_info in area_scores.items():
score = score_info['max_score']
if score is not None:
# Update overview data.
if score not in overview_data:
overview_data[score] = []
overview_data[score].append(QUESTIONNAIRES_BY_ID[qid])
# Update visualization data.
# TODO: This is very similar to the treemap code in
# views.network, consider refactoring.
s = score_info['skills']
area_info = {
'name': QUESTIONNAIRES_BY_ID[qid]['name'],
'questionnaire_id': qid,
'total': s['learn'] + s['explain'] + s['connect'] + s['do']
}
area_info.update(skills_to_percentages(s))
viz_data.append(area_info)
kwargs['viz_data'] = sorted(
viz_data,
key=lambda area_info: area_info['total'],
reverse=True
)
if user.program is not None:
kwargs['program'] = PROGRAM_TYPES[user.program]
return render_template('user-profile.html', **kwargs)
def render_user_profile(userid=None, **kwargs):
if userid is None:
user = current_user
else:
user = User.query_in_deployment().filter_by(id=userid).first_or_404()
area_scores = user.get_area_scores()
kwargs['user'] = user
overview_data = {}
viz_data = []
kwargs['overview_data'] = overview_data
for qid, score_info in area_scores.items():
score = score_info['max_score']
if score is not None:
# Update overview data.
if score not in overview_data:
overview_data[score] = []
overview_data[score].append(QUESTIONNAIRES_BY_ID[qid])
# Update visualization data.
# TODO: This is very similar to the treemap code in
# views.network, consider refactoring.
s = score_info['skills']
area_info = {
'name': QUESTIONNAIRES_BY_ID[qid]['name'],
'questionnaire_id': qid,
'total': s['learn'] + s['explain'] + s['connect'] + s['do']
}
area_info.update(skills_to_percentages(s))
viz_data.append(area_info)
kwargs['viz_data'] = sorted(viz_data,
key=lambda area_info: area_info['total'],
reverse=True)
return render_template('user-profile.html', **kwargs)
