def _csm_scores(self):
"""
Lazily queries and returns all the scores stored in the user
state (in CSM) for the course, while caching the result.
"""
scorable_locations = [block_key for block_key in self.course_structure if possibly_scored(block_key)]
return ScoresClient.create_for_locations(self.course.id, self.student.id, scorable_locations)
def _csm_scores(self):
"""
Lazily queries and returns all the scores stored in the user
state (in CSM) for the course, while caching the result.
"""
scorable_locations = [block_key for block_key in self.course_structure if possibly_scored(block_key)]
return ScoresClient.create_for_locations(self.course.id, self.student.id, scorable_locations)
def _prefetch_scores(self, course_structure, course):
"""
Returns the prefetched scores for the given student and course.
"""
if not self._scores_client:
scorable_locations = [block_key for block_key in course_structure if possibly_scored(block_key)]
self._scores_client = ScoresClient.create_for_locations(
course.id, self.student.id, scorable_locations
)
self._submissions_scores = submissions_api.get_scores(
unicode(course.id), anonymous_id_for_user(self.student, course.id)
)
def test_possibly_scored(self):
course_key = CourseLocator(u'org', u'course', u'run')
for block_type in self.possibly_scored_block_types:
usage_key = BlockUsageLocator(course_key, block_type,
'mock_block_id')
self.assertTrue(scores.possibly_scored(usage_key))
def test_possibly_scored(self):
course_key = CourseLocator(u'org', u'course', u'run')
for block_type in self.possibly_scored_block_types:
usage_key = BlockUsageLocator(course_key, block_type, 'mock_block_id')
self.assertTrue(scores.possibly_scored(usage_key))
