cd746bf8e5
This commit adds the non-courseware lms/djangoapps and lms/lib. These keys are now objects with a limited interface, and the particular internal representation is managed by the data storage layer (the modulestore). For the LMS, there should be no outward-facing changes to the system. The keys are, for now, a change to internal representation only. For Studio, the new serialized form of the keys is used in urls, to allow for further migration in the future. Co-Author: Andy Armstrong <andya@edx.org> Co-Author: Christina Roberts <christina@edx.org> Co-Author: David Baumgold <db@edx.org> Co-Author: Diana Huang <dkh@edx.org> Co-Author: Don Mitchell <dmitchell@edx.org> Co-Author: Julia Hansbrough <julia@edx.org> Co-Author: Nimisha Asthagiri <nasthagiri@edx.org> Co-Author: Sarina Canelake <sarina@edx.org> [LMS-2370]
94 lines
3.8 KiB
Python
94 lines
3.8 KiB
Python
""" Tests for analytics.distributions """
|
|
|
|
from django.test import TestCase
|
|
from nose.tools import raises
|
|
from student.models import CourseEnrollment
|
|
from student.tests.factories import UserFactory
|
|
from xmodule.modulestore.locations import SlashSeparatedCourseKey
|
|
|
|
from analytics.distributions import profile_distribution, AVAILABLE_PROFILE_FEATURES
|
|
|
|
|
|
class TestAnalyticsDistributions(TestCase):
|
|
'''Test analytics distribution gathering.'''
|
|
|
|
def setUp(self):
|
|
self.course_id = SlashSeparatedCourseKey('robot', 'course', 'id')
|
|
|
|
self.users = [UserFactory(
|
|
profile__gender=['m', 'f', 'o'][i % 3],
|
|
profile__year_of_birth=i + 1930
|
|
) for i in xrange(30)]
|
|
|
|
self.ces = [CourseEnrollment.enroll(user, self.course_id)
|
|
for user in self.users]
|
|
|
|
@raises(ValueError)
|
|
def test_profile_distribution_bad_feature(self):
|
|
feature = 'robot-not-a-real-feature'
|
|
self.assertNotIn(feature, AVAILABLE_PROFILE_FEATURES)
|
|
profile_distribution(self.course_id, feature)
|
|
|
|
def test_profile_distribution_easy_choice(self):
|
|
feature = 'gender'
|
|
self.assertIn(feature, AVAILABLE_PROFILE_FEATURES)
|
|
distribution = profile_distribution(self.course_id, feature)
|
|
self.assertEqual(distribution.type, 'EASY_CHOICE')
|
|
self.assertEqual(distribution.data['no_data'], 0)
|
|
self.assertEqual(distribution.data['m'], len(self.users) / 3)
|
|
self.assertEqual(distribution.choices_display_names['m'], 'Male')
|
|
|
|
def test_profile_distribution_open_choice(self):
|
|
feature = 'year_of_birth'
|
|
self.assertIn(feature, AVAILABLE_PROFILE_FEATURES)
|
|
distribution = profile_distribution(self.course_id, feature)
|
|
print distribution
|
|
self.assertEqual(distribution.type, 'OPEN_CHOICE')
|
|
self.assertTrue(hasattr(distribution, 'choices_display_names'))
|
|
self.assertEqual(distribution.choices_display_names, None)
|
|
self.assertNotIn('no_data', distribution.data)
|
|
self.assertEqual(distribution.data[1930], 1)
|
|
|
|
|
|
class TestAnalyticsDistributionsNoData(TestCase):
|
|
'''Test analytics distribution gathering.'''
|
|
|
|
def setUp(self):
|
|
self.course_id = SlashSeparatedCourseKey('robot', 'course', 'id')
|
|
|
|
self.users = [UserFactory(
|
|
profile__year_of_birth=i + 1930,
|
|
) for i in xrange(5)]
|
|
|
|
self.nodata_users = [UserFactory(
|
|
profile__year_of_birth=None,
|
|
profile__gender=[None, ''][i % 2]
|
|
) for i in xrange(4)]
|
|
|
|
self.users += self.nodata_users
|
|
|
|
self.ces = tuple(CourseEnrollment.enroll(user, self.course_id)
|
|
for user in self.users)
|
|
|
|
def test_profile_distribution_easy_choice_nodata(self):
|
|
feature = 'gender'
|
|
self.assertIn(feature, AVAILABLE_PROFILE_FEATURES)
|
|
distribution = profile_distribution(self.course_id, feature)
|
|
print distribution
|
|
self.assertEqual(distribution.type, 'EASY_CHOICE')
|
|
self.assertTrue(hasattr(distribution, 'choices_display_names'))
|
|
self.assertNotEqual(distribution.choices_display_names, None)
|
|
self.assertIn('no_data', distribution.data)
|
|
self.assertEqual(distribution.data['no_data'], len(self.nodata_users))
|
|
|
|
def test_profile_distribution_open_choice_nodata(self):
|
|
feature = 'year_of_birth'
|
|
self.assertIn(feature, AVAILABLE_PROFILE_FEATURES)
|
|
distribution = profile_distribution(self.course_id, feature)
|
|
print distribution
|
|
self.assertEqual(distribution.type, 'OPEN_CHOICE')
|
|
self.assertTrue(hasattr(distribution, 'choices_display_names'))
|
|
self.assertEqual(distribution.choices_display_names, None)
|
|
self.assertIn('no_data', distribution.data)
|
|
self.assertEqual(distribution.data['no_data'], len(self.nodata_users))
|