def get_cohort_per_filters():
benchmark = get_benchmarker('cohort get_students_per_filters')
benchmark('begin')
params = request.get_json()
filters = get_param(params, 'filters', [])
if not filters:
raise BadRequestError('API requires \'filters\'')
include_students = to_bool(get_param(params, 'includeStudents'))
include_students = True if include_students is None else include_students
order_by = get_param(params, 'orderBy', None)
offset = get_param(params, 'offset', 0)
limit = get_param(params, 'limit', 50)
filter_keys = list(map(lambda f: f['key'], filters))
if is_unauthorized_search(filter_keys, order_by):
raise ForbiddenRequestError(
'You are unauthorized to access student data managed by other departments'
)
benchmark('begin phantom cohort query')
cohort = CohortFilter.construct_phantom_cohort(
filters=filters,
order_by=order_by,
offset=int(offset),
limit=int(limit),
include_alerts_for_user_id=current_user.get_id(),
include_profiles=True,
include_students=include_students,
)
_decorate_cohort(cohort)
benchmark('end')
return tolerant_jsonify(cohort)
def download_csv_per_filters():
benchmark = get_benchmarker('cohort download_csv_per_filters')
benchmark('begin')
filters = get_param(request.get_json(), 'filters', [])
if not filters:
raise BadRequestError('API requires \'filters\'')
filter_keys = list(map(lambda f: f['key'], filters))
if is_unauthorized_search(filter_keys):
raise ForbiddenRequestError(
'You are unauthorized to access student data managed by other departments'
)
cohort = CohortFilter.construct_phantom_cohort(
filters=filters,
offset=0,
limit=None,
include_profiles=False,
include_sids=True,
include_students=False,
)
return response_with_students_csv_download(sids=cohort['sids'],
benchmark=benchmark)