def test_latest_previous_record(self):
course_overview = CourseOverviewFactory()
# Create a set of records with non-continuous dates
dates = [
datetime.date(2019, 10, 1),
datetime.date(2019, 10, 2),
datetime.date(2019, 10, 5),
datetime.date(2019, 10, 29),
datetime.date(2019, 11, 3),
]
for rec_date in dates:
cdms = CourseDailyMetricsFactory(site=self.site,
course_id = course_overview.id,
date_for=rec_date)
rec = CourseDailyMetrics.latest_previous_record(
site=self.site,
course_id=course_overview.id)
assert rec.date_for == dates[-1]
rec2 = CourseDailyMetrics.latest_previous_record(
site=self.site,
course_id=course_overview.id,
date_for=dates[-1])
assert rec2.date_for == dates[-2]
rec3 = CourseDailyMetrics.latest_previous_record(
site=self.site,
course_id=course_overview.id,
date_for=dates[0])
assert not rec3
def test_with_invalid_average_progress(self, average_progress):
"""
Apparently Django models don't validate automatically on save
"""
assert average_progress < 0 or average_progress > 1
rec = dict(site=self.site,
date_for=datetime.date(2018, 2, 2),
course_id='course-v1:SomeOrg+ABC01+2121',
enrollment_count=11,
active_learners_today=1,
average_progress=average_progress,
average_days_to_complete=5,
num_learners_completed=10)
obj = CourseDailyMetrics(**rec)
with pytest.raises(ValidationError) as execinfo:
obj.clean_fields()
assert 'average_progress' in execinfo.value.message_dict
def cdm_test_data(db, settings):
"""Build CourseDailyMetrics data to test certificate counts
"""
our_site = SiteFactory()
mock_today = date(year=2020, month=6, day=7)
last_month = mock_today - relativedelta(months=1)
courses = [CourseOverviewFactory() for i in range(2)]
# Create data for previous month. Just need one record
# purpose is to make sure it is not included in our production code request
prev_month_cdm = [
CourseDailyMetrics(site=our_site,
course_id=str(courses[0].id),
date_for=last_month)
]
# Create data for our current month
curr_month_cdm = []
cdm_data = [
dict(day=1, course_id=str(courses[0].id), num_learners_completed=1),
dict(day=6, course_id=str(courses[0].id), num_learners_completed=10),
dict(day=1, course_id=str(courses[1].id), num_learners_completed=2),
dict(day=6, course_id=str(courses[1].id), num_learners_completed=20),
]
expected_cert_count = 30
for rec in cdm_data:
date_for = date(year=mock_today.year,
month=mock_today.month,
day=rec['day'])
cdm = CourseDailyMetricsFactory(
site=our_site,
course_id=rec['course_id'],
date_for=date_for,
num_learners_completed=rec['num_learners_completed'])
curr_month_cdm.append(cdm)
if organizations_support_sites():
settings.FEATURES['FIGURES_IS_MULTISITE'] = True
our_org = OrganizationFactory(sites=[our_site])
for course in courses:
OrganizationCourseFactory(organization=our_org,
course_id=str(course.id))
return dict(
mock_today=mock_today,
our_site=our_site,
courses=courses,
prev_month_cdm=prev_month_cdm,
curr_month_cdm=curr_month_cdm,
expected_cert_count=expected_cert_count,
)