- containerResource:
      container: containerValue
      name: nameValue
      target:
        averageUtilization: 4
        averageValue: "0"
        type: typeValue
        value: "0"
    external:
      metric:
        name: nameValue
        selector:
          matchExpressions:
          - key: keyValue
            operator: operatorValue
            values:
            - valuesValue
          matchLabels:

          },
          "target": {
            "type": "typeValue",
            "value": "0",
            "averageValue": "0",
            "averageUtilization": 4
          },
          "metric": {
            "name": "nameValue",
            "selector": {
              "matchLabels": {
                "matchLabelsKey": "matchLabelsValue"
              },
              "matchExpressions": [
                {

          },
          "target": {
            "type": "typeValue",
            "value": "0",
            "averageValue": "0",
            "averageUtilization": 4
          },
          "metric": {
            "name": "nameValue",
            "selector": {
              "matchLabels": {
                "matchLabelsKey": "matchLabelsValue"
              },
              "matchExpressions": [
                {

  - containerResource:
      container: containerValue
      name: nameValue
      target:
        averageUtilization: 4
        averageValue: "0"
        type: typeValue
        value: "0"
    external:
      metric:
        name: nameValue
        selector:
          matchExpressions:
          - key: keyValue
            operator: operatorValue
            values:
            - valuesValue
          matchLabels:

	"istio.io/istio/pkg/test/util/retry"
)

// PromDiff compares a query with labels to a query of the same metric without labels, and notes the closest matching
// metric.
func PromDiff(t test.Failer, prom prometheus.Instance, cluster cluster.Cluster, query prometheus.Query) {
	t.Helper()
	unlabelled := prometheus.Query{Metric: query.Metric}
	v, _ := prom.Query(cluster, unlabelled)
	if v == nil {
		t.Logf("no metrics found for %v", unlabelled)

}

// ExternalMetricStatus indicates the current value of a global metric
// not associated with any Kubernetes object.
message ExternalMetricStatus {
  // metricName is the name of a metric used for autoscaling in
  // metric system.
  optional string metricName = 1;

  // metricSelector is used to identify a specific time series
  // within a given metric.
  // +optional

}

// ExternalMetricStatus indicates the current value of a global metric
// not associated with any Kubernetes object.
message ExternalMetricStatus {
  // metricName is the name of a metric used for autoscaling in
  // metric system.
  optional string metricName = 1;

  // metricSelector is used to identify a specific time series
  // within a given metric.
  // +optional

			t.Fatal("Metric specified as objectMetric but metric.singleObject is nil.")
		}
		outReplicas, outUsage, outTimestamp, err = replicaCalc.GetObjectPerPodMetricReplicas(tc.currentReplicas, tc.metric.perPodTargetUsage, tc.metric.name, testNamespace, tc.metric.singleObject, nil)
	case externalMetric:
		if tc.metric.selector == nil {
			t.Fatal("Metric specified as externalMetric but metric.selector is nil.")
		}
		if tc.metric.targetUsage <= 0 {

package metrics

import (
	"context"
	"time"

	autoscaling "k8s.io/api/autoscaling/v2"
	v1 "k8s.io/api/core/v1"
	"k8s.io/apimachinery/pkg/labels"
)

// PodMetric contains pod metric value (the metric values are expected to be the metric as a milli-value)
type PodMetric struct {
	Timestamp time.Time
	Window    time.Duration
	Value     int64
}

// PodMetricsInfo contains pod metrics as a map from pod names to PodMetricsInfo

package v2

// ExternalMetricStatusApplyConfiguration represents an declarative configuration of the ExternalMetricStatus type for use
// with apply.
type ExternalMetricStatusApplyConfiguration struct {
	Metric  *MetricIdentifierApplyConfiguration  `json:"metric,omitempty"`
	Current *MetricValueStatusApplyConfiguration `json:"current,omitempty"`
}