def validate(self, value, row_number=None, source=''): errors = [] ## iterate list of values and use the concept validation on each one validate_concept = DataTypeFactory().get_instance('concept') for v in value: val = v.strip() errors += validate_concept.validate(val, row_number) return errors
def validate(self, value, row_number=None, source=''): errors = [] ## iterate list of values and use the concept validation on each one validate_concept = DataTypeFactory().get_instance('concept') for v in value: val = v.strip() errors += validate_concept.validate(val, row_number) return errors
def validate(self, value, row_number=None, source="", node=None, nodeid=None): errors = [] # iterate list of values and use the concept validation on each one if value is not None: validate_concept = DataTypeFactory().get_instance("concept") for v in value: val = v.strip() errors += validate_concept.validate(val, row_number) return errors