Bug 1785513: fix describe for HPA

pkg/helpers/describe/deployments.go

@@ -18,7 +18,6 @@ import (
 	"k8s.io/kubectl/pkg/describe"
 	"k8s.io/kubectl/pkg/describe/versioned"
 	"k8s.io/kubectl/pkg/scheme"
-	"k8s.io/kubernetes/pkg/apis/autoscaling"
 
 	"github.com/openshift/api/apps"
 	appsv1 "github.com/openshift/api/apps/v1"
@@ -340,59 +339,17 @@ func printAutoscalingInfo(res []schema.GroupResource, namespace, name string, kc
 
 	for _, hpa := range scaledBy {
 		fmt.Fprintf(w, "Autoscaling:\tbetween %d and %d replicas", *hpa.Spec.MinReplicas, hpa.Spec.MaxReplicas)
-		// TODO: Replace this with external HPA
-		legacyHpa := &autoscaling.HorizontalPodAutoscaler{}
-		if err := scheme.Scheme.Convert(&hpa, legacyHpa, nil); err != nil {
-			panic(err)
-		}
-		targetDescriptions := formatHPATargets(legacyHpa)
-		if len(targetDescriptions) == 1 {
-			fmt.Fprintf(w, " targeting %s\n", targetDescriptions[0])
+		if hpa.Spec.TargetCPUUtilizationPercentage != nil {
+			fmt.Fprintf(w, " targeting %d%% CPU over all the pods\n", *hpa.Spec.TargetCPUUtilizationPercentage)
 		} else {
-			fmt.Fprintf(w, "\n")
-			for _, description := range targetDescriptions {
-				// NB(directxman12): we should *not* use the wording "triggered at" here.
-				// The HPA is *not* threshold-based.  Rather, it "aims" for a particular load,
-				// quasi-constantly scaling the replica count by the ratio of current to target.
-				fmt.Fprintf(w, "\t  targeting %s\n", description)
-			}
+			fmt.Fprint(w, " (default autoscaling policy)\n")
 		}
 		// TODO: Print a warning in case of multiple hpas.
 		// Related oc status PR: https://github.com/openshift/origin/pull/7799
 		break
 	}
 }
 
-// formatHPATargets formats a list of HPA targets in human readable form.  It functions similarly to the
-// upstream describer and printer, except that it doesn't include status information, so it's more compact.
-func formatHPATargets(hpa *autoscaling.HorizontalPodAutoscaler) []string {
-	descriptions := make([]string, len(hpa.Spec.Metrics))
-	for i, metricSpec := range hpa.Spec.Metrics {
-		switch metricSpec.Type {
-		case autoscaling.PodsMetricSourceType:
-			descriptions[i] = fmt.Sprintf("%s %s average per pod", metricSpec.Pods.Target.AverageValue.String(), metricSpec.Pods.Metric.Name)
-		case autoscaling.ObjectMetricSourceType:
-			// TODO: it'd probably be more accurate if we put the group in here too,
-			// but it might be a bit to verbose to read at a glance
-			// TODO: we might want to use the resource name here instead of the kind?
-			targetObjDesc := fmt.Sprintf("%s %s", metricSpec.Object.Target.Type, metricSpec.Object.Metric.Name)
-			descriptions[i] = fmt.Sprintf("%s %s on %s", metricSpec.Object.Target.Value.String(), metricSpec.Object.Metric.Name, targetObjDesc)
-		case autoscaling.ResourceMetricSourceType:
-			if metricSpec.Resource.Target.AverageValue != nil {
-				descriptions[i] = fmt.Sprintf("%s %s average per pod", metricSpec.Resource.Target.AverageValue.String(), metricSpec.Resource.Name)
-			} else if metricSpec.Resource.Target.AverageUtilization != nil {
-				descriptions[i] = fmt.Sprintf("%d%% %s average per pod", *metricSpec.Resource.Target.AverageUtilization, metricSpec.Resource.Name)
-			} else {
-				descriptions[i] = "<unset resource metric>"
-			}
-		default:
-			descriptions[i] = "<unknown metric type>"
-		}
-	}
-
-	return descriptions
-}
-
 func printDeploymentRc(deployment *corev1.ReplicationController, kubeClient kubernetes.Interface, w io.Writer, header string, verbose bool) error {
 	if len(header) > 0 {
 		fmt.Fprintf(w, "%v:\n", header)