Removes tags from S3 Files resources.
Parameters:
-
resource_id
(ResourceId)
–
The ID or Amazon Resource Name (ARN) of the resource to remove tags from.
-
tag_keys
(TagKeys)
–
An array of tag keys to remove from the resource.
Raises:
Source code in docs_src/capo_s3files/_services/s3_files.py
| def untag_resource(
self,
resource_id: "capo_s3files.types.resource_id.ResourceId",
tag_keys: "capo_s3files.types.tag_keys.TagKeys",
*,
config_overrides: Optional[S3FilesClientConfig] = None,
) -> None:
"""<p>Removes tags from S3 Files resources.</p>
Args:
resource_id: <p>The ID or Amazon Resource Name (ARN) of the resource to remove tags from.</p>
tag_keys: <p>An array of tag keys to remove from the resource.</p>
Raises:
capo_s3files.errors.throttling_exception.ThrottlingException: <p>The request was throttled. Retry your request using exponential backoff.</p>
capo_s3files.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</p>
capo_s3files.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found. Verify that the resource exists and that you have permission to access it.</p>
capo_s3files.errors.validation_exception.ValidationException: <p>The input parameters are not valid. Check the parameter values and try again.</p>
capo_s3files.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_s3files.types.untag_resource_request.UntagResourceRequest]",
) -> OperationResponse[None]:
import capo_s3files._operations.s3_files.untag_resource
output, http_response = (
capo_s3files._operations.s3_files.untag_resource.untag_resource(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("UntagResource")
)
input_: capo_s3files.types.untag_resource_request.UntagResourceRequest = {
"resource_id": resource_id,
"tag_keys": tag_keys,
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|