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)

local q = g.query.prometheus;

local query = import './lib-query.libsonnet';
local sum = query.sum;
local rate = query.rate;
local irate = query.irate;
local labels = query.labels;
local round = query.round;
local quantile = query.quantile;

local variables = import './variables.libsonnet';

{
  queries(names):
    local containerLabels = { container: names.container, pod: '~' + names.pod };
    local appLabels = { app: names.app };

	}

	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)

                     "intervalFactor": 2,
                     "legendFormat": "{{cluster}} - {{namespace}} - {{name}} - mean\n"
                  }
               ],
               "title": "Workqueue Waiting Duration Quantile",
               "type": "timeseries"
            },
            {
               "datasource": {
                  "type": "datasource",
                  "uid": "-- Mixed --"
               },

        `inference_output_type` for full integer quantized models. This allows
        users to modify the model input and output type to integer types
        (`tf.int8`, `tf.uint8`) instead of defaulting to float type
        (`tf.float32`).
*   NNAPI
    *   Adds NNAPI Delegation support for requantization use cases by converting
        the operation into a dequantize-quantize pair.

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  // Mutually exclusive with TargetAverageValue.
  // +optional
  optional k8s.io.apimachinery.pkg.api.resource.Quantity targetValue = 3;

  // targetAverageValue is the target per-pod value of global metric (as a quantity).
  // Mutually exclusive with TargetValue.
  // +optional
  optional k8s.io.apimachinery.pkg.api.resource.Quantity targetAverageValue = 4;
}

  // Mutually exclusive with TargetAverageValue.
  // +optional
  optional k8s.io.apimachinery.pkg.api.resource.Quantity targetValue = 3;

  // targetAverageValue is the target per-pod value of global metric (as a quantity).
  // Mutually exclusive with TargetValue.
  // +optional
  optional k8s.io.apimachinery.pkg.api.resource.Quantity targetAverageValue = 4;
}

option go_package = "k8s.io/apimachinery/pkg/api/resource";

// Quantity is a fixed-point representation of a number.
// It provides convenient marshaling/unmarshaling in JSON and YAML,
// in addition to String() and AsInt64() accessors.
//
// The serialization format is:
//
// ```
// <quantity>        ::= <signedNumber><suffix>
//
// 	(Note that <suffix> may be empty, from the "" case in <decimalSI>.)

  optional string type = 1;

  // value is the target value of the metric (as a quantity).
  // +optional
  optional k8s.io.apimachinery.pkg.api.resource.Quantity value = 2;

  // averageValue is the target value of the average of the
  // metric across all relevant pods (as a quantity)
  // +optional
  optional k8s.io.apimachinery.pkg.api.resource.Quantity averageValue = 3;