untag_resource ¶

def untag_resource(
    self,
    resource_arn: str,
    tag_keys: "capo_grafana.types.tag_keys.TagKeys",
    *,
    config_overrides: Optional[grafanaClientConfig] = None,
) -> "capo_grafana.types.untag_resource_response.UntagResourceResponse":
    """<p>The <code>UntagResource</code> operation removes the association of the tag with the Amazon Managed Grafana resource. </p>

    Args:
        resource_arn: <p>The ARN of the resource the tag association is removed from. </p>
        tag_keys: <p>The key values of the tag to be removed from the resource.</p>

    Raises:
        capo_grafana.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient permissions to perform this action. </p>
        capo_grafana.errors.internal_server_exception.InternalServerException: <p>Unexpected error while processing the request. Retry the request.</p>
        capo_grafana.errors.resource_not_found_exception.ResourceNotFoundException: <p>The request references a resource that does not exist.</p>
        capo_grafana.errors.throttling_exception.ThrottlingException: <p>The request was denied because of request throttling. Retry the request.</p>
        capo_grafana.errors.validation_exception.ValidationException: <p>The value of a parameter in the request caused an error.</p>
        capo_grafana.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_grafana.types.untag_resource_request.UntagResourceRequest]",
    ) -> OperationResponse[
        "capo_grafana.types.untag_resource_response.UntagResourceResponse"
    ]:
        import capo_grafana._operations.aws_grafana_control_plane.untag_resource

        output, http_response = (
            capo_grafana._operations.aws_grafana_control_plane.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_grafana.types.untag_resource_request.UntagResourceRequest = {
        "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