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