list_datasets async ¶

async def list_datasets(
    self,
    *,
    config_overrides: Optional[AsyncfinspacedataClientConfig] = None,
    next_token: Optional[
        "capo_finspace_data.types.pagination_token.PaginationToken"
    ] = None,
    max_results: Optional[
        "capo_finspace_data.types.result_limit.ResultLimit"
    ] = None,
) -> "capo_finspace_data.types.list_datasets_response.ListDatasetsResponse":
    """<p>Lists all of the active Datasets that a user has access to.</p>

    Args:
        next_token: <p>A token that indicates where a results page should begin.</p>
        max_results: <p>The maximum number of results per page.</p>

    Raises:
        capo_finspace_data.errors.conflict_exception.ConflictException: <p>The request conflicts with an existing resource.</p>
        capo_finspace_data.errors.internal_server_exception.InternalServerException: <p>The request processing has failed because of an unknown error, exception or failure.</p>
        capo_finspace_data.errors.resource_not_found_exception.ResourceNotFoundException: <p>One or more resources can't be found.</p>
        capo_finspace_data.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_finspace_data.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by an AWS service.</p>
        capo_finspace_data.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_finspace_data.types.list_datasets_request.ListDatasetsRequest]",
    ) -> AsyncOperationResponse[
        "capo_finspace_data.types.list_datasets_response.ListDatasetsResponse"
    ]:
        import capo_finspace_data._operations.aws_habanero_public_api.list_datasets

        (
            output,
            http_response,
        ) = await capo_finspace_data._operations.aws_habanero_public_api.list_datasets.async_list_datasets(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_finspace_data.types.list_datasets_response.ListDatasetsResponse",
    ) -> dict[str, Any]:
        import capo_finspace_data.types.list_datasets_response

        return capo_finspace_data.types.list_datasets_response.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("ListDatasets", redact_output=_redact_output),
    )
    input_: capo_finspace_data.types.list_datasets_request.ListDatasetsRequest = {}
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output