return update
def _check_type(validator, types, instance, schema):
"""
Callback to check data type. Skips over null values.
"""
if instance is None:
errors = []
else:
errors = asdf_schema.validate_type(validator, types,
instance, schema)
return errors
validator_callbacks = HashableDict(asdf_schema.YAML_VALIDATORS)
validator_callbacks.update({'type': _check_type})
validator_context = AsdfFile()
validator_resolver = validator_context.resolver
def _check_value(value, schema):
"""
Perform the actual validation.
"""
if value is None:
if schema.get('fits_required'):
name = schema.get("fits_keyword") or schema.get("fits_hdu")
raise jsonschema.ValidationError("%s is a required value"
% name)
item,
subschema,
path=index,
schema_path=index,
):
yield error
def _fits_type(validator, items, instance, schema):
if instance in ('N/A', '#TODO', '', None):
return
return validators._validators.type_draft4(validator, items, instance,
schema)
FITS_VALIDATORS = HashableDict(asdf_schema.YAML_VALIDATORS)
FITS_VALIDATORS.update({
'fits_keyword': _fits_element_writer,
'ndim': _fits_array_writer,
'max_ndim': _fits_array_writer,
'datatype': _fits_array_writer,
'items': _fits_item_recurse,
'properties': _fits_comment_section_handler,
'type': _fits_type
})
META_SCHEMA_PATH = os.path.abspath(
os.path.join(os.path.dirname(__file__), 'metaschema'))
FITS_SCHEMA_URL_MAPPING = resolver.Resolver(