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