untag_resource async ¶

async def untag_resource(
    self,
    resource_arn: "capo_cleanroomsml.types.taggable_arn.TaggableArn",
    tag_keys: "capo_cleanroomsml.types.tag_keys.TagKeys",
    *,
    config_overrides: Optional[AsyncCleanRoomsMLClientConfig] = None,
) -> "capo_cleanroomsml.types.untag_resource_response.UntagResourceResponse":
    """<p>Removes metadata tags from a specified resource.</p>

    Args:
        resource_arn: <p>The Amazon Resource Name (ARN) of the resource that you want to remove tags from.</p>
        tag_keys: <p>The key values of tags that you want to remove.</p>

    Raises:
        capo_cleanroomsml.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_cleanroomsml.errors.resource_not_found_exception.ResourceNotFoundException: <p>The resource you are requesting does not exist.</p>
        capo_cleanroomsml.errors.validation_exception.ValidationException: <p>The request parameters for this request are incorrect.</p>
        capo_cleanroomsml.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_cleanroomsml.types.untag_resource_request.UntagResourceRequest]",
    ) -> AsyncOperationResponse[
        "capo_cleanroomsml.types.untag_resource_response.UntagResourceResponse"
    ]:
        import capo_cleanroomsml._operations.aws_stark_control_service.untag_resource

        (
            output,
            http_response,
        ) = await capo_cleanroomsml._operations.aws_stark_control_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_cleanroomsml.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