Add tags to a CloudFront resource. For more information, see Tagging a distribution in the Amazon CloudFront Developer Guide.
Parameters:
-
resource
(ResourceARN)
–
An ARN of a CloudFront resource.
-
tags
(Tags)
–
A complex type that contains zero or more Tag elements.
Raises:
Source code in docs_src/capo_cloudfront/_services/cloud_front.py
| def tag_resource(
self,
resource: "capo_cloudfront.types.resource_arn.ResourceARN",
tags: "capo_cloudfront.types.tags.Tags",
*,
config_overrides: Optional[CloudFrontClientConfig] = None,
) -> None:
"""<p>Add tags to a CloudFront resource. For more information, see <a href="https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/tagging.html">Tagging a distribution</a> in the <i>Amazon CloudFront Developer Guide</i>.</p>
Args:
resource: <p>An ARN of a CloudFront resource.</p>
tags: <p>A complex type that contains zero or more <code>Tag</code> elements.</p>
Raises:
capo_cloudfront.errors.access_denied.AccessDenied: <p>Access denied.</p>
capo_cloudfront.errors.invalid_argument.InvalidArgument: <p>An argument is invalid.</p>
capo_cloudfront.errors.invalid_tagging.InvalidTagging: <p>The tagging specified is not valid.</p>
capo_cloudfront.errors.no_such_resource.NoSuchResource: <p>A resource that was specified is not valid.</p>
capo_cloudfront.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_cloudfront.types.tag_resource_request.TagResourceRequest]",
) -> OperationResponse[None]:
import capo_cloudfront._operations.cloudfront2020_05_31.tag_resource
output, http_response = (
capo_cloudfront._operations.cloudfront2020_05_31.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_cloudfront.types.tag_resource_request.TagResourceRequest = {
"resource": resource,
"tags": tags,
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|