add_application_input_processing_configuration ¶

def add_application_input_processing_configuration(
    self,
    application_name: "capo_kinesis_analytics_v2.types.application_name.ApplicationName",
    current_application_version_id: "capo_kinesis_analytics_v2.types.application_version_id.ApplicationVersionId",
    input_id: "capo_kinesis_analytics_v2.types.id.Id",
    input_processing_configuration: "capo_kinesis_analytics_v2.types.input_processing_configuration.InputProcessingConfiguration",
    *,
    config_overrides: Optional[KinesisAnalyticsV2ClientConfig] = None,
) -> "capo_kinesis_analytics_v2.types.add_application_input_processing_configuration_response.AddApplicationInputProcessingConfigurationResponse":
    """<p>Adds an <a>InputProcessingConfiguration</a> to a SQL-based Kinesis Data Analytics application. An input processor pre-processes records on the input stream before the application's SQL code executes. Currently, the only input processor available is <a href="https://docs.aws.amazon.com/lambda/">Amazon Lambda</a>.</p>

    Args:
        application_name: <p>The name of the application to which you want to add the input processing configuration.</p>
        current_application_version_id: <p>The version of the application to which you want to add the input processing configuration. You can use the <a>DescribeApplication</a> operation to get the current application version. If the version specified is not the current version, the <code>ConcurrentModificationException</code> is returned.</p>
        input_id: <p>The ID of the input configuration to add the input processing configuration to. You can get a list of the input IDs for an application using the <a>DescribeApplication</a> operation.</p>
        input_processing_configuration: <p>The <a>InputProcessingConfiguration</a> to add to the application.</p>

    Raises:
        capo_kinesis_analytics_v2.errors.concurrent_modification_exception.ConcurrentModificationException: <p>Exception thrown as a result of concurrent modifications to an application. This error can be the result of attempting to modify an application without using the current application ID.</p>
        capo_kinesis_analytics_v2.errors.invalid_argument_exception.InvalidArgumentException: <p>The specified input parameter value is not valid.</p>
        capo_kinesis_analytics_v2.errors.invalid_request_exception.InvalidRequestException: <p>The request JSON is not valid for the operation.</p>
        capo_kinesis_analytics_v2.errors.resource_in_use_exception.ResourceInUseException: <p>The application is not available for this operation.</p>
        capo_kinesis_analytics_v2.errors.resource_not_found_exception.ResourceNotFoundException: <p>Specified application can't be found.</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.add_application_input_processing_configuration_request.AddApplicationInputProcessingConfigurationRequest]",
    ) -> OperationResponse[
        "capo_kinesis_analytics_v2.types.add_application_input_processing_configuration_response.AddApplicationInputProcessingConfigurationResponse"
    ]:
        import capo_kinesis_analytics_v2._operations.kinesis_analytics_20180523.add_application_input_processing_configuration

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

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("AddApplicationInputProcessingConfiguration"),
    )
    input_: capo_kinesis_analytics_v2.types.add_application_input_processing_configuration_request.AddApplicationInputProcessingConfigurationRequest = {
        "application_name": application_name,
        "current_application_version_id": current_application_version_id,
        "input_id": input_id,
        "input_processing_configuration": input_processing_configuration,
    }

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