Adds to or modifies the tags of the given resource. Tags are metadata that can be used to manage a resource.
Parameters:
-
resource_arn
(AmazonResourceName)
–
The Amazon Resource Name (ARN) of the resource to which you want to add or update tags.
-
tags
(TagList)
–
The tags you want to modify or add to the resource.
Raises:
Source code in docs_src/capo_codeconnections/_services/code_connections.py
| def tag_resource(
self,
resource_arn: "capo_codeconnections.types.amazon_resource_name.AmazonResourceName",
tags: "capo_codeconnections.types.tag_list.TagList",
*,
config_overrides: Optional[CodeConnectionsClientConfig] = None,
) -> "capo_codeconnections.types.tag_resource_output.TagResourceOutput":
"""<p>Adds to or modifies the tags of the given resource. Tags are metadata that can be used to manage a resource.</p>
Args:
resource_arn: <p>The Amazon Resource Name (ARN) of the resource to which you want to add or update tags.</p>
tags: <p>The tags you want to modify or add to the resource.</p>
Raises:
capo_codeconnections.errors.limit_exceeded_exception.LimitExceededException: <p>Exceeded the maximum limit for connections.</p>
capo_codeconnections.errors.resource_not_found_exception.ResourceNotFoundException: <p>Resource not found. Verify the connection resource ARN and try again.</p>
capo_codeconnections.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_codeconnections.types.tag_resource_input.TagResourceInput]",
) -> OperationResponse[
"capo_codeconnections.types.tag_resource_output.TagResourceOutput"
]:
import capo_codeconnections._operations.code_connections_20231201.tag_resource
output, http_response = (
capo_codeconnections._operations.code_connections_20231201.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_codeconnections.types.tag_resource_input.TagResourceInput = {
"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
|