def get_object(self):
# Because we're serializing data from both Elasticsearch and MySQL into
# the same JSON object, we have to pass both sources of data in a dict
# to our custom course metadata serializer.
return {
'es_data': RosterEntry.get_course_metadata(self.course_id),
'engagement_ranges': ModuleEngagementMetricRanges.objects.filter(course_id=self.course_id)
}
def get_object(self):
# Because we're serializing data from both Elasticsearch and MySQL into
# the same JSON object, we have to pass both sources of data in a dict
# to our custom course metadata serializer.
return {
'es_data': RosterEntry.get_course_metadata(self.course_id),
'engagement_ranges': ModuleEngagementMetricRanges.objects.filter(course_id=self.course_id)
}
def get_queryset(self):
"""
Fetches the user list and last updated from elasticsearch returned returned
as a an array of dicts with fields "learner" and "last_updated".
"""
self._validate_query_params()
query_params = self.request.QUERY_PARAMS
order_by = query_params.get('order_by')
sort_order = query_params.get('sort_order')
sort_policies = [{'order_by': order_by, 'sort_order': sort_order}]
# Ordering by problem_attempts_per_completed can be ambiguous because
# values could be infinite (e.g. divide by zero) if no problems were completed.
# Instead, secondary sorting by attempt_ratio_order will produce a sensible ordering.
if order_by == 'problem_attempts_per_completed':
sort_policies.append({
'order_by':
'attempt_ratio_order',
'sort_order':
'asc' if sort_order == 'desc' else 'desc'
})
params = {
'segments':
split_query_argument(query_params.get('segments')),
'ignore_segments':
split_query_argument(query_params.get('ignore_segments')),
'cohort':
query_params.get('cohort'),
'enrollment_mode':
query_params.get('enrollment_mode'),
'text_search':
query_params.get('text_search'),
'sort_policies':
sort_policies,
}
# Remove None values from `params` so that we don't overwrite default
# parameter values in `get_users_in_course`.
params = {key: val for key, val in params.items() if val is not None}
try:
return RosterEntry.get_users_in_course(self.course_id, **params)
except ValueError as e:
raise ParameterValueError(e.message)
def get_queryset(self):
"""
Fetches the user list and last updated from elasticsearch returned returned
as a an array of dicts with fields "learner" and "last_updated".
"""
self._validate_query_params()
query_params = self.request.QUERY_PARAMS
order_by = query_params.get('order_by')
sort_order = query_params.get('sort_order')
sort_policies = [{
'order_by': order_by,
'sort_order': sort_order
}]
# Ordering by problem_attempts_per_completed can be ambiguous because
# values could be infinite (e.g. divide by zero) if no problems were completed.
# Instead, secondary sorting by attempt_ratio_order will produce a sensible ordering.
if order_by == 'problem_attempts_per_completed':
sort_policies.append({
'order_by': 'attempt_ratio_order',
'sort_order': 'asc' if sort_order == 'desc' else 'desc'
})
params = {
'segments': split_query_argument(query_params.get('segments')),
'ignore_segments': split_query_argument(query_params.get('ignore_segments')),
'cohort': query_params.get('cohort'),
'enrollment_mode': query_params.get('enrollment_mode'),
'text_search': query_params.get('text_search'),
'sort_policies': sort_policies,
}
# Remove None values from `params` so that we don't overwrite default
# parameter values in `get_users_in_course`.
params = {key: val for key, val in params.items() if val is not None}
try:
return RosterEntry.get_users_in_course(self.course_id, **params)
except ValueError as e:
raise ParameterValueError(e.message)
def get_queryset(self):
return RosterEntry.get_course_user(self.course_id, self.username)
def get_queryset(self):
return RosterEntry.get_course_user(self.course_id, self.username)