def test_load_existing(self):
course_id = self.course_enrollments[0].course_id
assert CourseDailyMetrics.objects.count() == 0
cdm, created = pipeline_cdm.CourseDailyMetricsLoader(course_id).load()
assert cdm and created
assert CourseDailyMetrics.objects.count() == 1
cdm2, created2 = pipeline_cdm.CourseDailyMetricsLoader(course_id).load()
assert cdm2 and not created2
assert cdm2.id == cdm.id
assert CourseDailyMetrics.objects.count() == 1
def test_load_existing(self, monkeypatch):
with mock.patch.dict('figures.helpers.settings.FEATURES',
{'FIGURES_IS_MULTISITE': False}):
course_id = self.course_enrollments[0].course_id
assert CourseDailyMetrics.objects.count() == 0
cdm, created = pipeline_cdm.CourseDailyMetricsLoader(
course_id).load()
assert cdm and created
assert CourseDailyMetrics.objects.count() == 1
cdm2, created2 = pipeline_cdm.CourseDailyMetricsLoader(
course_id).load()
assert cdm2 and not created2
assert cdm2.id == cdm.id
assert CourseDailyMetrics.objects.count() == 1
def test_load(self, monkeypatch):
course_id = "course-v1:certs-appsembler+001+2019"
def get_data(self, date_for):
return {
'average_progress':
1.0,
'num_learners_completed':
2,
'enrollment_count':
3,
'average_days_to_complete':
0.0,
'course_id':
CourseLocator(u'certs-appsembler', u'001', u'2019', None,
None),
'date_for':
date_for,
'active_learners_today':
0
}
with mock.patch.dict('figures.helpers.settings.FEATURES',
{'FIGURES_IS_MULTISITE': False}):
monkeypatch.setattr(
figures.pipeline.course_daily_metrics.CourseDailyMetricsLoader,
'get_data', get_data)
cdm, created = pipeline_cdm.CourseDailyMetricsLoader(
course_id).load()
assert cdm and created
def seed_course_daily_metrics_for_course(course_id):
end_date = LAST_DAY
start_date = days_from(end_date, -DAYS_BACK)
for dt in rrule(DAILY, dtstart=start_date, until=end_date):
if VERBOSE:
print('populating day {} for course {}'.format(dt, course_id))
cdm, created = pipeline_cdm.CourseDailyMetricsLoader(course_id).load(
date_for=dt, force_update=True)
def test_average_progress_yesterday_or_prior(self, monkeypatch, days_back,
expected_val):
monkeypatch.setattr(figures.pipeline.course_daily_metrics,
'bulk_calculate_course_progress_data',
lambda **_kwargs: dict(average_progress=1))
course_id = self.course_enrollments[0].course_id
date_for = datetime.datetime.today().date() - relativedelta(
days=days_back)
cdm, created = pipeline_cdm.CourseDailyMetricsLoader(course_id).load(
date_for=date_for)
assert cdm.average_progress == expected_val
def test_load_invalid_data(self, monkeypatch, average_progress):
course_id = self.course_enrollments[0].course_id
monkeypatch.setattr(figures.pipeline.course_daily_metrics,
'bulk_calculate_course_progress_data',
lambda **_kwargs: dict(average_progress=average_progress))
with pytest.raises(ValidationError) as execinfo:
assert CourseDailyMetrics.objects.count() == 0
cdm, created = pipeline_cdm.CourseDailyMetricsLoader(course_id).load()
assert CourseDailyMetrics.objects.count() == 0
assert 'average_progress' in execinfo.value.message_dict
def test_load_invalid_data(self, monkeypatch, average_progress):
def mock_get_average_progress(course_id, date_for, course_enrollments):
return average_progress
course_id = self.course_enrollments[0].course_id
monkeypatch.setattr(
figures.pipeline.course_daily_metrics,
'get_average_progress',
mock_get_average_progress)
with pytest.raises(ValidationError) as execinfo:
assert CourseDailyMetrics.objects.count() == 0
cdm, created = pipeline_cdm.CourseDailyMetricsLoader(course_id).load()
assert CourseDailyMetrics.objects.count() == 0
assert 'average_progress' in execinfo.value.message_dict
def test_load(self, monkeypatch):
# pick a course, any course (we'll just pick the first, but doesn't matter which)
if OPENEDX_RELEASE == GINKGO:
course_id = self.course_enrollments[0].course_id
else:
course_id = self.course_enrollments[0].course.id
def get_data(self, date_for):
return {
'average_progress': 1.0,
'num_learners_completed': 2,
'enrollment_count': 3,
'average_days_to_complete': 0.0,
'course_id': course_id,
'date_for': date_for,
'active_learners_today': 0}
monkeypatch.setattr(
figures.pipeline.course_daily_metrics.CourseDailyMetricsLoader,
'get_data', get_data)
cdm, created = pipeline_cdm.CourseDailyMetricsLoader(course_id).load()
assert cdm and created
def test_load(self):
course_id = self.course_enrollments[0].course_id
results = pipeline_cdm.CourseDailyMetricsLoader(course_id).load()
assert results
