describe_application_operation ¶

def describe_application_operation(
    self,
    application_name: "capo_kinesis_analytics_v2.types.application_name.ApplicationName",
    operation_id: "capo_kinesis_analytics_v2.types.operation_id.OperationId",
    *,
    config_overrides: Optional[KinesisAnalyticsV2ClientConfig] = None,
) -> "capo_kinesis_analytics_v2.types.describe_application_operation_response.DescribeApplicationOperationResponse":
    """<p>Provides a detailed description of a specified application operation. To see a list of all the operations of an application, invoke the <a>ListApplicationOperations</a> operation.</p> <note> <p>This operation is supported only for Managed Service for Apache Flink.</p> </note>

    Raises:
        capo_kinesis_analytics_v2.errors.invalid_argument_exception.InvalidArgumentException: <p>The specified input parameter value is not valid.</p>
        capo_kinesis_analytics_v2.errors.resource_not_found_exception.ResourceNotFoundException: <p>Specified application can't be found.</p>
        capo_kinesis_analytics_v2.errors.unsupported_operation_exception.UnsupportedOperationException: <p>The request was rejected because a specified parameter is not supported or a specified resource is not valid for this operation. </p>
        capo_kinesis_analytics_v2.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_kinesis_analytics_v2.types.describe_application_operation_request.DescribeApplicationOperationRequest]",
    ) -> OperationResponse[
        "capo_kinesis_analytics_v2.types.describe_application_operation_response.DescribeApplicationOperationResponse"
    ]:
        import capo_kinesis_analytics_v2._operations.kinesis_analytics_20180523.describe_application_operation

        output, http_response = (
            capo_kinesis_analytics_v2._operations.kinesis_analytics_20180523.describe_application_operation.describe_application_operation(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeApplicationOperation")
    )
    input_: capo_kinesis_analytics_v2.types.describe_application_operation_request.DescribeApplicationOperationRequest = {
        "application_name": application_name,
        "operation_id": operation_id,
    }

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