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/*
* Copyright 2013-2020 The Kamon Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package kamon.newrelic.metrics
import com.newrelic.telemetry.Attributes
import com.newrelic.telemetry.metrics.{Gauge, Metric, Summary}
import kamon.metric.Distribution.Bucket
import kamon.metric.MetricSnapshot.Distributions
import kamon.metric.{Distribution, DynamicRange, MeasurementUnit, MetricSnapshot}
import kamon.newrelic.AttributeBuddy._
import kamon.tag.TagSet
import org.slf4j.LoggerFactory
object NewRelicDistributionMetrics {
private val percentilesToReport = Seq(50d, 75d, 90d, 95d, 99d, 99.9d)
private val logger = LoggerFactory.getLogger(getClass)
def apply(start: Long, end: Long, dist: MetricSnapshot.Distributions, sourceMetricType: String): Seq[Metric] = {
logger.debug("name: {} ; numberOfInstruments: {}", dist.name, dist.instruments.size)
val baseAttributes = buildBaseAttributes(dist, sourceMetricType)
dist.instruments.flatMap { inst =>
val tags: TagSet = inst.tags
val instrumentBaseAttributes: Attributes = addTagsFromTagSets(Seq(tags), baseAttributes.copy())
val distValue: Distribution = inst.value
// Skip buckets - do not implement for now
val buckets: Seq[Bucket] = distValue.buckets
val summary: Summary = buildSummary(start, end, dist, instrumentBaseAttributes, distValue)
val percentiles: scala.Seq[_root_.com.newrelic.telemetry.metrics.Metric] = makePercentiles(dist.name, end, distValue, instrumentBaseAttributes)
percentiles :+ summary
}
}
private def buildSummary(start: Long, end: Long, dist: Distributions, instrumentBaseAttributes: Attributes, distValue: Distribution) = {
val count: Long = distValue.count
val sum: Long = distValue.sum
val min: Long = distValue.min
val max: Long = distValue.max
new Summary(dist.name + ".summary", count.toInt, sum, min, max, start, end, instrumentBaseAttributes)
}
private def makePercentiles(name: String, end: Long, distValue: Distribution, instrumentBaseAttributes: Attributes): Seq[Metric] = {
percentilesToReport
.map(rank => distValue.percentile(rank))
.filter(percentileValue => percentileValue != null)
.map { percentile =>
val attributes: Attributes = instrumentBaseAttributes.copy()
.put("percentile", percentile.rank)
new Gauge(name + ".percentiles", percentile.value, end, attributes)
}
}
private def buildBaseAttributes(dist: Distributions, sourceMetricType: String): Attributes = {
val dynamicRange: DynamicRange = dist.settings.dynamicRange
val lowestDiscernibleValue = dynamicRange.lowestDiscernibleValue
val highestTrackableValue = dynamicRange.highestTrackableValue
val significantValueDigits = dynamicRange.significantValueDigits
val unit: MeasurementUnit = dist.settings.unit
val magnitude: MeasurementUnit.Magnitude = unit.magnitude
val dimension: MeasurementUnit.Dimension = unit.dimension
new Attributes()
.put("description", dist.description)
.put("sourceMetricType", sourceMetricType)
.put("lowestDiscernibleValue", lowestDiscernibleValue)
.put("highestTrackableValue", highestTrackableValue)
.put("significantValueDigits", significantValueDigits)
.put("magnitude.name", magnitude.name)
.put("magnitude.scaleFactor", magnitude.scaleFactor)
.put("dimension", dimension.name)
}
}