def tag_resource(
self,
resource_arn: "capo_appintegrations.types.arn.Arn",
tags: "capo_appintegrations.types.tag_map.TagMap",
*,
config_overrides: Optional[AppIntegrationsClientConfig] = None,
) -> "capo_appintegrations.types.tag_resource_response.TagResourceResponse":
"""<p>Adds the specified tags to the specified resource.</p>
Args:
resource_arn: <p>The Amazon Resource Name (ARN) of the resource.</p>
tags: <p>The tags used to organize, track, or control access for this resource. For example, { "tags": {"key1":"value1", "key2":"value2"} }.</p>
Raises:
capo_appintegrations.errors.internal_service_error.InternalServiceError: <p>Request processing failed due to an error or failure with the service.</p>
capo_appintegrations.errors.invalid_request_exception.InvalidRequestException: <p>The request is not valid. </p>
capo_appintegrations.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
capo_appintegrations.errors.throttling_exception.ThrottlingException: <p>The throttling limit has been exceeded.</p>
capo_appintegrations.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_appintegrations.types.tag_resource_request.TagResourceRequest]",
) -> OperationResponse[
"capo_appintegrations.types.tag_resource_response.TagResourceResponse"
]:
import capo_appintegrations._operations.amazon_app_integration_service.tag_resource
output, http_response = (
capo_appintegrations._operations.amazon_app_integration_service.tag_resource.tag_resource(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("TagResource")
)
input_: capo_appintegrations.types.tag_resource_request.TagResourceRequest = {
"resource_arn": resource_arn,
"tags": tags,
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output