// TopologyKey is the key of node labels. Nodes that have a label with this key
  // and identical values are considered to be in the same topology.
  // We consider each <key, value> as a "bucket", and try to put balanced number
  // of pods into each bucket.
  // We define a domain as a particular instance of a topology.
  // Also, we define an eligible domain as a domain whose nodes meet the requirements of

			"histogram_quantile(0.500000, sum(rate(istio_request_duration_milliseconds_bucket{destination_workload=~\"details.*\", destination_workload_namespace=~\".*\",reporter=\"destination\"}[1m0s])) by (le))": prometheus_model.Vector{ // nolint: lll
				&prometheus_model.Sample{Value: 2.5},
			},

          },

              "datasource": {
                "type": "prometheus",
                "uid": "${datasource}"
              },
              "expr": "histogram_quantile(0.5, sum(rate(pilot_proxy_convergence_time_bucket[1m])) by (le))",
              "format": "time_series",
              "intervalFactor": 1,
              "legendFormat": "p50 ",
              "refId": "A"
            },
            {

            "uid": "${datasource}"
          },
          "expr": "(histogram_quantile(0.50, sum(irate(istio_request_duration_milliseconds_bucket{reporter=~\"$qrep\",destination_service=~\"$service\"}[1m])) by (le)) / 1000) or histogram_quantile(0.50, sum(irate(istio_request_duration_seconds_bucket{reporter=~\"$qrep\",destination_service=~\"$service\"}[1m])) by (le))",
          "format": "time_series",
          "interval": "",

"expr": "histogram_quantile(0.5, sum(rate(pilot_proxy_convergence_time_bucket[1m])) by (le))", "format": "time_series", "intervalFactor": 1, "legendFormat": "p50 ", "refId": "A" }, { "expr": "histogram_quantile(0.9, sum(rate(pilot_proxy_convergence_time_bucket[1m])) by (le))", "format": "time_series", "intervalFactor": 1, "legendFormat": "p90", "refId": "B" }, { "expr": "histogram_quantile(0.99, sum(rate(pilot_proxy_convergence_time_bucket[1m])) by (le))", "format": "time_series", "intervalFactor": 1, "legendFormat":...

          },
          "expr": "(histogram_quantile(0.50, sum(irate(istio_request_duration_milliseconds_bucket{reporter=~\"$qrep\",destination_workload=~\"$workload\", destination_workload_namespace=~\"$namespace\"}[1m])) by (le)) / 1000) or histogram_quantile(0.50, sum(irate(istio_request_duration_seconds_bucket{reporter=~\"$qrep\",destination_workload=~\"$workload\", destination_workload_namespace=~\"$namespace\"}[1m])) by (le))",

	return sm, nil
}

func getLatency(promAPI promv1.API, workloadName, workloadNamespace string, duration time.Duration, quantile float64) (time.Duration, error) {
	latencyQuery := fmt.Sprintf(`histogram_quantile(%f, sum(rate(%s_bucket{%s=~"%s.*", %s=~"%s.*",reporter="destination"}[%s])) by (le))`,
		quantile, reqDur, destWorkloadLabel, workloadName, destWorkloadNamespaceLabel, workloadNamespace, duration)

	letency, err := vectorValue(promAPI, latencyQuery)