update_accelerator_attributes ¶

def update_accelerator_attributes(
    self,
    accelerator_arn: "capo_global_accelerator.types.generic_string.GenericString",
    *,
    config_overrides: Optional[GlobalAcceleratorClientConfig] = None,
    flow_logs_enabled: Optional[
        "capo_global_accelerator.types.generic_boolean.GenericBoolean"
    ] = None,
    flow_logs_s3_bucket: Optional[
        "capo_global_accelerator.types.generic_string.GenericString"
    ] = None,
    flow_logs_s3_prefix: Optional[
        "capo_global_accelerator.types.generic_string.GenericString"
    ] = None,
) -> "capo_global_accelerator.types.update_accelerator_attributes_response.UpdateAcceleratorAttributesResponse":
    """<p>Update the attributes for an accelerator. </p>

    Args:
        accelerator_arn: <p>The Amazon Resource Name (ARN) of the accelerator that you want to update.</p>
        flow_logs_enabled: <p>Update whether flow logs are enabled. The default value is false. If the value is true, <code>FlowLogsS3Bucket</code> and <code>FlowLogsS3Prefix</code> must be specified.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/global-accelerator/latest/dg/monitoring-global-accelerator.flow-logs.html">Flow Logs</a> in the <i>Global Accelerator Developer Guide</i>.</p>
        flow_logs_s3_bucket: <p>The name of the Amazon S3 bucket for the flow logs. Attribute is required if <code>FlowLogsEnabled</code> is <code>true</code>. The bucket must exist and have a bucket policy that grants Global Accelerator permission to write to the bucket.</p>
        flow_logs_s3_prefix: <p>Update the prefix for the location in the Amazon S3 bucket for the flow logs. Attribute is required if <code>FlowLogsEnabled</code> is <code>true</code>. </p> <p>If you specify slash (/) for the S3 bucket prefix, the log file bucket folder structure will include a double slash (//), like the following:</p> <p>s3-bucket_name//AWSLogs/aws_account_id</p>

    Raises:
        capo_global_accelerator.errors.accelerator_not_found_exception.AcceleratorNotFoundException: <p>The accelerator that you specified doesn't exist.</p>
        capo_global_accelerator.errors.access_denied_exception.AccessDeniedException: <p>You don't have access permission.</p>
        capo_global_accelerator.errors.internal_service_error_exception.InternalServiceErrorException: <p>There was an internal error for Global Accelerator.</p>
        capo_global_accelerator.errors.invalid_argument_exception.InvalidArgumentException: <p>An argument that you specified is invalid.</p>
        capo_global_accelerator.errors.transaction_in_progress_exception.TransactionInProgressException: <p>There's already a transaction in progress. Another transaction can't be processed.</p>
        capo_global_accelerator.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_global_accelerator.types.update_accelerator_attributes_request.UpdateAcceleratorAttributesRequest]",
    ) -> OperationResponse[
        "capo_global_accelerator.types.update_accelerator_attributes_response.UpdateAcceleratorAttributesResponse"
    ]:
        import capo_global_accelerator._operations.global_accelerator_v20180706.update_accelerator_attributes

        output, http_response = (
            capo_global_accelerator._operations.global_accelerator_v20180706.update_accelerator_attributes.update_accelerator_attributes(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateAcceleratorAttributes")
    )
    input_: capo_global_accelerator.types.update_accelerator_attributes_request.UpdateAcceleratorAttributesRequest = {
        "accelerator_arn": accelerator_arn
    }
    if flow_logs_enabled is not None:
        input_["flow_logs_enabled"] = flow_logs_enabled
    if flow_logs_s3_bucket is not None:
        input_["flow_logs_s3_bucket"] = flow_logs_s3_bucket
    if flow_logs_s3_prefix is not None:
        input_["flow_logs_s3_prefix"] = flow_logs_s3_prefix

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