untag_resource ¶

def untag_resource(
    self,
    resource_arn: "capo_neptune_graph.types.arn.Arn",
    tag_keys: "capo_neptune_graph.types.tag_key_list.TagKeyList",
    *,
    config_overrides: Optional[NeptuneGraphClientConfig] = None,
) -> "capo_neptune_graph.types.untag_resource_output.UntagResourceOutput":
    """<p>Removes the specified tags from the specified resource.</p>

    Args:
        resource_arn: <p>ARN of the resource whose tag needs to be removed.</p>
        tag_keys: <p>Tag keys for the tags to be removed.</p>

    Raises:
        capo_neptune_graph.errors.internal_server_exception.InternalServerException: <p>A failure occurred on the server.</p>
        capo_neptune_graph.errors.resource_not_found_exception.ResourceNotFoundException: <p>A specified resource could not be located.</p>
        capo_neptune_graph.errors.throttling_exception.ThrottlingException: <p>The exception was interrupted by throttling.</p>
        capo_neptune_graph.errors.validation_exception.ValidationException: <p>A resource could not be validated.</p>
        capo_neptune_graph.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_neptune_graph.types.untag_resource_input.UntagResourceInput]",
    ) -> OperationResponse[
        "capo_neptune_graph.types.untag_resource_output.UntagResourceOutput"
    ]:
        import capo_neptune_graph._operations.amazon_neptune_graph.untag_resource

        output, http_response = (
            capo_neptune_graph._operations.amazon_neptune_graph.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_neptune_graph.types.untag_resource_input.UntagResourceInput = {
        "resource_arn": resource_arn,
        "tag_keys": tag_keys,
    }

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output