def export_group_analytics(group_obj, assessment_and_quiz_data):
# print "Enter 'group name(case sensitive)' OR 'id': "
# group_name_or_id = raw_input()
# group_obj = Group.get_group_name_id(group_name_or_id, get_obj=True)
# if not group_obj:
# raise ValueError('\nSorry. Request could not be visited. \
# \nGroup/Course, matching argument entered "' + group_name_or_id + '" does not exists!!')
# group_users = group_obj.author_set
# Previously, above was implementation strategy. Now we are using counter users instead of group's author_set,
# because we do wanted to gather all data irrespective of student enrollment.
group_users = Counter.get_group_counters(group_obj._id).distinct('user_id')
# group_users is a list of integer user ids
#print group_users
# CSV file name-convention: schoolcode-course-name-datetimestamp.csv
try:
group_name = slugify(group_obj['name'])
except Exception, e:
# print e
group_name = str(group_obj['_id'])
def export_group_analytics(group_obj, assessment_and_quiz_data):
# print "Enter 'group name(case sensitive)' OR 'id': "
# group_name_or_id = raw_input()
# group_obj = Group.get_group_name_id(group_name_or_id, get_obj=True)
# if not group_obj:
# raise ValueError('\nSorry. Request could not be visited. \
# \nGroup/Course, matching argument entered "' + group_name_or_id + '" does not exists!!')
# group_users = group_obj.author_set
# Previously, above was implementation strategy. Now we are using counter users instead of group's author_set,
# because we do wanted to gather all data irrespective of student enrollment.
group_users = Counter.get_group_counters(group_obj._id).distinct('user_id')
# group_users is a list of integer user ids
# print group_users
# CSV file name-convention: schoolcode-course-name-datetimestamp.csv
try:
group_name = slugify(group_obj['name'])
except Exception, e:
# print e
group_name = str(group_obj['_id'])
