def test_grade_data_serializer__assessment(self, has_criteria):
"""Base serialization behavior, with and without criteria"""
input_data = MagicMock()
if has_criteria:
input_data.criteria = [Mock(points=123), Mock(points=11), Mock(points=22)]
data = GradeDataSerializer(input_data).data
expected_value = {
"score": ScoreField().to_representation(input_data.score),
"overallFeedback": str(input_data.feedback),
}
if has_criteria:
expected_value["criteria"] = [
AssessmentCriteriaSerializer(criterion).data
for criterion in input_data.criteria
]
else:
expected_value["criteria"] = []
assert data == expected_value
def test_field(self):
"""Base serialization behavior for ScoreField"""
data = {"pointsEarned": 20, "pointsPossible": 40}
representation = ScoreField().to_representation(data)
assert representation == data
def test_field_missing(self, missing_field):
"""Missing fields should just be ignored"""
value = {"pointsEarned": 30, "pointsPossible": 50}
del value[missing_field]
assert ScoreField().to_representation(value) == value
def test_field_no_values(self):
"""An empty dict passed to the field should return None"""
assert ScoreField().to_representation({}) is None