describe_release_label ¶

def describe_release_label(
    self,
    *,
    config_overrides: Optional[EMRClientConfig] = None,
    release_label: Optional["capo_emr.types.string.String"] = None,
    next_token: Optional["capo_emr.types.string.String"] = None,
    max_results: Optional[
        "capo_emr.types.max_results_number.MaxResultsNumber"
    ] = None,
) -> "capo_emr.types.describe_release_label_output.DescribeReleaseLabelOutput":
    """<p>Provides Amazon EMR release label details, such as the releases available the Region where the API request is run, and the available applications for a specific Amazon EMR release label. Can also list Amazon EMR releases that support a specified version of Spark.</p>

    Args:
        release_label: <p>The target release label to be described.</p>
        next_token: <p>The pagination token. Reserved for future use. Currently set to null.</p>
        max_results: <p>Reserved for future use. Currently set to null.</p>

    Raises:
        capo_emr.errors.internal_server_exception.InternalServerException: <p>This exception occurs when there is an internal failure in the Amazon EMR service.</p>
        capo_emr.errors.invalid_request_exception.InvalidRequestException: <p>This exception occurs when there is something wrong with user input.</p>
        capo_emr.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_emr.types.describe_release_label_input.DescribeReleaseLabelInput]",
    ) -> OperationResponse[
        "capo_emr.types.describe_release_label_output.DescribeReleaseLabelOutput"
    ]:
        import capo_emr._operations.elastic_map_reduce.describe_release_label

        output, http_response = (
            capo_emr._operations.elastic_map_reduce.describe_release_label.describe_release_label(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeReleaseLabel")
    )
    input_: capo_emr.types.describe_release_label_input.DescribeReleaseLabelInput = {}
    if release_label is not None:
        input_["release_label"] = release_label
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output