Removes a tag from a rescore execution plan. A rescore execution plan is an Amazon Kendra Intelligent Ranking resource used for provisioning the Rescore operation.
Parameters:
-
resource_arn
(AmazonResourceName)
–
The Amazon Resource Name (ARN) of the rescore execution plan to remove the tag.
-
tag_keys
(TagKeyList)
–
A list of tag keys to remove from the rescore execution plan. If a tag key does not exist on the resource, it is ignored.
Raises:
-
AccessDeniedException
–
You don’t have sufficient access to perform this action. Please ensure you have the required permission policies and user accounts and try again.
-
InternalServerException
–
An issue occurred with the internal server used for your Amazon Kendra Intelligent Ranking service. Please wait a few minutes and try again, or contact Support for help.
-
ResourceUnavailableException
–
The resource you want to use is unavailable. Please check you have provided the correct resource information and try again.
-
ThrottlingException
–
The request was denied due to request throttling. Please reduce the number of requests and try again.
-
ValidationException
–
The input fails to satisfy the constraints set by the Amazon Kendra Intelligent Ranking service. Please provide the correct input and try again.
-
UnknownServiceError
–
The service returned an error code this client does not model.
Source code in docs_src/capo_kendra_ranking/_services/async_kendra_ranking.py
| async def untag_resource(
self,
resource_arn: "capo_kendra_ranking.types.amazon_resource_name.AmazonResourceName",
tag_keys: "capo_kendra_ranking.types.tag_key_list.TagKeyList",
*,
config_overrides: Optional[AsyncKendraRankingClientConfig] = None,
) -> "capo_kendra_ranking.types.untag_resource_response.UntagResourceResponse":
"""<p>Removes a tag from a rescore execution plan. A rescore execution plan is an Amazon Kendra Intelligent Ranking resource used for provisioning the <code>Rescore</code> operation.</p>
Args:
resource_arn: <p>The Amazon Resource Name (ARN) of the rescore execution plan to remove the tag.</p>
tag_keys: <p>A list of tag keys to remove from the rescore execution plan. If a tag key does not exist on the resource, it is ignored.</p>
Raises:
capo_kendra_ranking.errors.access_denied_exception.AccessDeniedException: <p>You don’t have sufficient access to perform this action. Please ensure you have the required permission policies and user accounts and try again.</p>
capo_kendra_ranking.errors.internal_server_exception.InternalServerException: <p>An issue occurred with the internal server used for your Amazon Kendra Intelligent Ranking service. Please wait a few minutes and try again, or contact <a href="http://aws.amazon.com/contact-us/">Support</a> for help.</p>
capo_kendra_ranking.errors.resource_unavailable_exception.ResourceUnavailableException: <p>The resource you want to use is unavailable. Please check you have provided the correct resource information and try again.</p>
capo_kendra_ranking.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling. Please reduce the number of requests and try again.</p>
capo_kendra_ranking.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints set by the Amazon Kendra Intelligent Ranking service. Please provide the correct input and try again.</p>
capo_kendra_ranking.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
async def _handler(
req: "AsyncOperationRequest[capo_kendra_ranking.types.untag_resource_request.UntagResourceRequest]",
) -> AsyncOperationResponse[
"capo_kendra_ranking.types.untag_resource_response.UntagResourceResponse"
]:
import capo_kendra_ranking._operations.aws_kendra_reranking_frontend_service.untag_resource
(
output,
http_response,
) = await capo_kendra_ranking._operations.aws_kendra_reranking_frontend_service.untag_resource.async_untag_resource(
req.options, req.input
)
return AsyncOperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("UntagResource")
)
input_: capo_kendra_ranking.types.untag_resource_request.UntagResourceRequest = {
"resource_arn": resource_arn,
"tag_keys": tag_keys,
}
response = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output
|