async def untag_resource(
self,
resource_arn: "capo_forecast.types.arn.Arn",
tag_keys: "capo_forecast.types.tag_keys.TagKeys",
*,
config_overrides: Optional[AsyncforecastClientConfig] = None,
) -> "capo_forecast.types.untag_resource_response.UntagResourceResponse":
"""<p>Deletes the specified tags from a resource.</p>
Args:
resource_arn: <p>The Amazon Resource Name (ARN) that identifies the resource for which to list the tags. </p>
tag_keys: <p>The keys of the tags to be removed.</p>
Raises:
capo_forecast.errors.invalid_input_exception.InvalidInputException: <p>We can't process the request because it includes an invalid value or a value that exceeds the valid range.</p>
capo_forecast.errors.resource_not_found_exception.ResourceNotFoundException: <p>We can't find a resource with that Amazon Resource Name (ARN). Check the ARN and try again.</p>
capo_forecast.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
async def _handler(
req: "AsyncOperationRequest[capo_forecast.types.untag_resource_request.UntagResourceRequest]",
) -> AsyncOperationResponse[
"capo_forecast.types.untag_resource_response.UntagResourceResponse"
]:
import capo_forecast._operations.amazon_forecast.untag_resource
(
output,
http_response,
) = await capo_forecast._operations.amazon_forecast.untag_resource.async_untag_resource(
req.options, req.input
)
return AsyncOperationResponse(output=output, response=http_response)
def _redact_input(
input_: "capo_forecast.types.untag_resource_request.UntagResourceRequest",
) -> dict[str, Any]:
import capo_forecast.types.untag_resource_request
return capo_forecast.types.untag_resource_request.redact_sensitive(input_)
interceptors_, options_ = self.operation_options(
config_overrides,
OperationLogging("UntagResource", redact_input=_redact_input),
)
input_: capo_forecast.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