"datasource": {
            "type": "prometheus",
            "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))",

            "type": "prometheus",
            "uid": "${datasource}"
          },

			"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"
                     },

            },
            {
               "datasource": {
                  "type": "prometheus",
                  "uid": "$datasource"
               },

  irate(query):
    'irate(%s[$__rate_interval])' % query,
  rate(query):
    'rate(%s[$__rate_interval])' % query,
  round(query, by=0.01):
    'round(%s, %s)' % [query, by],
  quantile(quantile, query):
    'histogram_quantile(%s, %s)' %[quantile, query],
  labels(metric_name, labels):
    // One can nest locals.
    // Every local ends with a semi-colon.
    local prom_labels = std.join(',',
      std.map(
        function(k)

	}

	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)