def _validate_assessment_examples(rubric_dict, assessments): """ Validate assessment training examples. Args: rubric_dict (dict): The serialized rubric model. assessments (list of dict): List of assessment dictionaries. Returns: tuple (is_valid, msg) where is_valid is a boolean indicating whether the assessment is semantically valid and msg describes any validation errors found. """ for asmnt in assessments: if asmnt['name'] == 'student-training': examples = convert_training_examples_list_to_dict(asmnt['examples']) # Delegate to the student training API to validate the # examples against the rubric. errors = validate_training_examples(rubric_dict, examples) if errors: return False, "\n".join(errors) return True, u''
def validate_assessment_examples(rubric_dict, assessments, _): """ Validate assessment training examples. Args: rubric_dict (dict): The serialized rubric model. assessments (list of dict): List of assessment dictionaries. _ (function): The service function used to get the appropriate i18n text Returns: tuple (is_valid, msg) where is_valid is a boolean indicating whether the assessment is semantically valid and msg describes any validation errors found. """ for asmnt in assessments: if asmnt['name'] == 'student-training': examples = convert_training_examples_list_to_dict( asmnt['examples']) # Must have at least one training example if len(examples) == 0: return False, _( u"Learner training must have at least one training example." ) # Delegate to the student training API to validate the # examples against the rubric. errors = validate_training_examples(rubric_dict, examples) if errors: return False, "; ".join(errors) return True, u''
def validate_assessment_examples(rubric_dict, assessments, _): """ Validate assessment training examples. Args: rubric_dict (dict): The serialized rubric model. assessments (list of dict): List of assessment dictionaries. _ (function): The service function used to get the appropriate i18n text Returns: tuple (is_valid, msg) where is_valid is a boolean indicating whether the assessment is semantically valid and msg describes any validation errors found. """ for asmnt in assessments: if asmnt['name'] == 'student-training': examples = convert_training_examples_list_to_dict(asmnt['examples']) # Must have at least one training example if len(examples) == 0: return False, _( u"Learner training must have at least one training example." ) # Delegate to the student training API to validate the # examples against the rubric. errors = validate_training_examples(rubric_dict, examples) if errors: return False, "; ".join(errors) return True, u''
def test_validate_training_examples(self, data): errors = training_api.validate_training_examples( data['rubric'], data['examples']) msg = u"Expected errors {} but got {}".format(data['errors'], errors) self.assertItemsEqual(errors, data['errors'], msg=msg)
def test_validate_training_examples(self, data): errors = training_api.validate_training_examples( data['rubric'], data['examples'] ) msg = u"Expected errors {} but got {}".format(data['errors'], errors) self.assertItemsEqual(errors, data['errors'], msg=msg)