list_application_operations ¶

def list_application_operations(
    self,
    application_name: "capo_kinesis_analytics_v2.types.application_name.ApplicationName",
    *,
    config_overrides: Optional[KinesisAnalyticsV2ClientConfig] = None,
    limit: Optional[
        "capo_kinesis_analytics_v2.types.list_application_operations_input_limit.ListApplicationOperationsInputLimit"
    ] = None,
    next_token: Optional[
        "capo_kinesis_analytics_v2.types.next_token.NextToken"
    ] = None,
    operation: Optional[
        "capo_kinesis_analytics_v2.types.operation.Operation"
    ] = None,
    operation_status: Optional[
        "capo_kinesis_analytics_v2.types.operation_status.OperationStatus"
    ] = None,
) -> "capo_kinesis_analytics_v2.types.list_application_operations_response.ListApplicationOperationsResponse":
    """<p>Lists all the operations performed for the specified application such as UpdateApplication, StartApplication etc. The response also includes a summary of the operation.</p> <p>To get the complete description of a specific operation, invoke the <a>DescribeApplicationOperation</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.list_application_operations_request.ListApplicationOperationsRequest]",
    ) -> OperationResponse[
        "capo_kinesis_analytics_v2.types.list_application_operations_response.ListApplicationOperationsResponse"
    ]:
        import capo_kinesis_analytics_v2._operations.kinesis_analytics_20180523.list_application_operations

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListApplicationOperations")
    )
    input_: capo_kinesis_analytics_v2.types.list_application_operations_request.ListApplicationOperationsRequest = {
        "application_name": application_name
    }
    if limit is not None:
        input_["limit"] = limit
    if next_token is not None:
        input_["next_token"] = next_token
    if operation is not None:
        input_["operation"] = operation
    if operation_status is not None:
        input_["operation_status"] = operation_status

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