def _update_metadata(
cls,
metadata: metadata_base.DataMetadata,
resource_id: metadata_base.SelectorSegment,
) -> metadata_base.DataMetadata:
resource_metadata = dict(metadata.query((resource_id, )))
if "structural_type" not in resource_metadata or not issubclass(
resource_metadata["structural_type"], container.DataFrame):
raise TypeError(
'The Dataset resource is not a DataFrame, but "{type}".'.
format(type=resource_metadata.get("structural_type", None), ))
resource_metadata.update(
{
"schema": metadata_base.CONTAINER_SCHEMA_VERSION,
}, )
new_metadata = metadata_base.DataMetadata(resource_metadata)
new_metadata = metadata.copy_to(new_metadata, (resource_id, ))
# Resource is not anymore an entry point.
new_metadata = new_metadata.remove_semantic_type(
(),
"https://metadata.datadrivendiscovery.org/types/DatasetEntryPoint")
return new_metadata
def _update_metadata(
self, metadata: metadata_base.DataMetadata,
resource_id: metadata_base.SelectorSegment
) -> metadata_base.DataMetadata:
resource_metadata = dict(metadata.query((resource_id, )))
if 'structural_type' not in resource_metadata or not issubclass(
resource_metadata['structural_type'], container.DataFrame):
raise TypeError(
"The Dataset resource is not a DataFrame, but \"{type}\".".
format(type=resource_metadata.get('structural_type', None), ))
resource_metadata.update(
{
'schema': metadata_base.CONTAINER_SCHEMA_VERSION,
}, )
new_metadata = metadata_base.DataMetadata(resource_metadata)
new_metadata = metadata.copy_to(new_metadata, (resource_id, ))
# Resource is not anymore an entry point.
new_metadata = new_metadata.remove_semantic_type(
(),
'https://metadata.datadrivendiscovery.org/types/DatasetEntryPoint')
return new_metadata
