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list_application_operations async

list_application_operations(
    application_name: ApplicationName,
    *,
    config_overrides: Optional[AsyncKinesisAnalyticsV2ClientConfig] = None,
    limit: Optional[ListApplicationOperationsInputLimit] = None,
    next_token: Optional[NextToken] = None,
    operation: Optional[Operation] = None,
    operation_status: Optional[OperationStatus] = None,
) -> ListApplicationOperationsResponse

Lists all the operations performed for the specified application such as UpdateApplication, StartApplication etc. The response also includes a summary of the operation.

To get the complete description of a specific operation, invoke the DescribeApplicationOperation operation.

This operation is supported only for Managed Service for Apache Flink.

Raises:

Source code in docs_src/capo_kinesis_analytics_v2/_services/async_kinesis_analytics_v2.py
async def list_application_operations(
    self,
    application_name: "capo_kinesis_analytics_v2.types.application_name.ApplicationName",
    *,
    config_overrides: Optional[AsyncKinesisAnalyticsV2ClientConfig] = 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.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_kinesis_analytics_v2.types.list_application_operations_request.ListApplicationOperationsRequest]",
    ) -> AsyncOperationResponse[
        "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,
        ) = await capo_kinesis_analytics_v2._operations.kinesis_analytics_20180523.list_application_operations.async_list_application_operations(
            req.options, req.input
        )
        return AsyncOperationResponse(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 = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output