async def tag_resource(
self,
resource_arn: "capo_backup_gateway.types.resource_arn.ResourceArn",
tags: "capo_backup_gateway.types.tags.Tags",
*,
config_overrides: Optional[AsyncBackupGatewayClientConfig] = None,
) -> "capo_backup_gateway.types.tag_resource_output.TagResourceOutput":
"""<p>Tag the resource.</p>
Args:
resource_arn: <p>The Amazon Resource Name (ARN) of the resource to tag.</p>
tags: <p>A list of tags to assign to the resource.</p>
Raises:
capo_backup_gateway.errors.internal_server_exception.InternalServerException: <p>The operation did not succeed because an internal error occurred. Try again later.</p>
capo_backup_gateway.errors.throttling_exception.ThrottlingException: <p>TPS has been limited to protect against intentional or unintentional high request volumes.</p>
capo_backup_gateway.errors.validation_exception.ValidationException: <p>The operation did not succeed because a validation error occurred.</p>
capo_backup_gateway.errors.resource_not_found_exception.ResourceNotFoundException: <p>A resource that is required for the action wasn't found.</p>
capo_backup_gateway.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
async def _handler(
req: "AsyncOperationRequest[capo_backup_gateway.types.tag_resource_input.TagResourceInput]",
) -> AsyncOperationResponse[
"capo_backup_gateway.types.tag_resource_output.TagResourceOutput"
]:
import capo_backup_gateway._operations.backup_on_premises_v20210101.tag_resource
(
output,
http_response,
) = await capo_backup_gateway._operations.backup_on_premises_v20210101.tag_resource.async_tag_resource(
req.options, req.input
)
return AsyncOperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("TagResource")
)
input_: capo_backup_gateway.types.tag_resource_input.TagResourceInput = {
"resource_arn": resource_arn,
"tags": tags,
}
response = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output