async def tag_resource(
self,
resource_arn: "capo_ivschat.types.resource_arn.ResourceArn",
tags: "capo_ivschat.types.tags.Tags",
*,
config_overrides: Optional[AsyncivschatClientConfig] = None,
) -> "capo_ivschat.types.tag_resource_response.TagResourceResponse":
"""<p>Adds or updates tags for the AWS resource with the specified ARN.</p>
Args:
resource_arn: <p>The ARN of the resource to be tagged. The ARN must be URL-encoded.</p>
tags: <p>Array of tags to be added or updated. Array of maps, each of the form <code>string:string (key:value)</code>. See <a href="https://docs.aws.amazon.com/tag-editor/latest/userguide/best-practices-and-strats.html">Best practices and strategies</a> in <i>Tagging Amazon Web Services Resources and Tag Editor</i> for details, including restrictions that apply to tags and "Tag naming limits and requirements"; Amazon IVS Chat has no constraints beyond what is documented there.</p>
Raises:
capo_ivschat.errors.internal_server_exception.InternalServerException: <p/>
capo_ivschat.errors.resource_not_found_exception.ResourceNotFoundException: <p/>
capo_ivschat.errors.validation_exception.ValidationException: <p/>
capo_ivschat.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
async def _handler(
req: "AsyncOperationRequest[capo_ivschat.types.tag_resource_request.TagResourceRequest]",
) -> AsyncOperationResponse[
"capo_ivschat.types.tag_resource_response.TagResourceResponse"
]:
import capo_ivschat._operations.amazon_interactive_video_service_chat.tag_resource
(
output,
http_response,
) = await capo_ivschat._operations.amazon_interactive_video_service_chat.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_ivschat.types.tag_resource_request.TagResourceRequest = {
"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