iter_list_data_lake_datasets ¶

iter_list_data_lake_datasets(
    instance_id: UUID,
    namespace: DataLakeNamespaceName,
    *,
    config_overrides: Optional[SupplyChainClientConfig] = None,
    next_token: Optional[DataLakeDatasetNextToken] = None,
    max_results: Optional[DataLakeDatasetMaxResults] = None,
) -> Iterator[DataLakeDataset]

Source code in docs_src/capo_supplychain/_services/supply_chain.py

def iter_list_data_lake_datasets(
    self,
    instance_id: "capo_supplychain.types.uuid.UUID",
    namespace: "capo_supplychain.types.data_lake_namespace_name.DataLakeNamespaceName",
    *,
    config_overrides: Optional[SupplyChainClientConfig] = None,
    next_token: Optional[
        "capo_supplychain.types.data_lake_dataset_next_token.DataLakeDatasetNextToken"
    ] = None,
    max_results: Optional[
        "capo_supplychain.types.data_lake_dataset_max_results.DataLakeDatasetMaxResults"
    ] = None,
) -> "Iterator[capo_supplychain.types.data_lake_dataset.DataLakeDataset]":
    _token = next_token
    while True:
        _response = self.list_data_lake_datasets(
            instance_id,
            namespace,
            config_overrides=config_overrides,
            next_token=_token,
            max_results=max_results,
        )
        _page = _resolve_path(_response, ("datasets",))
        for _item in _page or []:
            yield _item
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break