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package kamon
package metric
import java.time.Duration
import java.util.concurrent.ScheduledThreadPoolExecutor
import java.util.concurrent.atomic.AtomicReference
import com.typesafe.config.{Config, ConfigFactory}
import com.typesafe.scalalogging.Logger
import kamon.metric.instrument._
import kamon.util.MeasurementUnit
import scala.collection.concurrent.TrieMap
/*
Kamon.metrics.histogram("http.latency").withMeasurementUnit(Time.Microseconds)
Histogram.create("http.latency", Time.Milliseconds)
val histogram = Histogram.builder("http.latency")
.tag("method", "get")
.build()
val actorMetrics = MetricGroup("method" -> "get")
val actorMetrics = MetricGroup.builder()
.tag("method", "get")
.build()
actorMetrics.histogram(
Options for a Histogram:
- MeasurementUnit
- Dynamic Range
HistogramConfig.forLatency().inMicroseconds()
Kamon.metrics.histogram("http.latency").withoutTags()
Kamon.metrics.histogram("http.latency").withTag("method", "get")
Kamon.metrics.histogram("http.latency", Tag.of("color", "blue"), Tag.of("color", "blue"))
Kamon.histogram(named("http.latency").withTag("path", path))
Kamon.counter(named("http.latency").withTag("path", path))
val group = Kamon.metrics.group(tags = Map("path" -> "/my-system/user/test-actor"))
val processingTime = group.histogram("processing-time")
def histogram(name: String): Histogram =
histogram(name, MeasurementUnit.none)
def histogram(name: String, unit: MeasurementUnit): Histogram =
histogram(name, unit, Map.empty)
def histogram(name: String, unit: MeasurementUnit, tags: Map[String, String]): Histogram =
histogram(name, unit, tags, DynamicRange.Default)
*/
trait MetricLookup {
def histogram(name: String): Histogram =
histogram(name, MeasurementUnit.none)
def histogram(name: String, unit: MeasurementUnit): Histogram =
histogram(name, unit, Map.empty)
def histogram(name: String, unit: MeasurementUnit, tags: Map[String, String]): Histogram =
histogram(name, unit, tags, None)
def histogram(name: String, unit: MeasurementUnit, tags: Map[String, String], dynamicRange: DynamicRange): Histogram =
histogram(name, unit, tags, Some(dynamicRange))
def histogram(name: String, unit: MeasurementUnit, tags: Map[String, String], dynamicRange: Option[DynamicRange]): Histogram
}
class Registry(initialConfig: Config) extends RegistrySnapshotGenerator {
private val logger = Logger(classOf[Registry])
private val metrics = TrieMap.empty[String, MetricEntry]
private val instrumentFactory = new AtomicReference[InstrumentFactory]()
reconfigure(initialConfig)
def reconfigure(config: Config): Unit = synchronized {
instrumentFactory.set(InstrumentFactory.fromConfig(config))
}
def histogram(name: String, unit: MeasurementUnit, tags: Map[String, String], dynamicRange: Option[DynamicRange]): Histogram =
lookupInstrument(name, unit, tags, InstrumentType.Histogram, instrumentFactory.get().buildHistogram(dynamicRange))
def counter(name: String, unit: MeasurementUnit, tags: Map[String, String]): Counter =
lookupInstrument(name, unit, tags, InstrumentType.Counter, instrumentFactory.get().buildCounter)
def gauge(name: String, unit: MeasurementUnit, tags: Map[String, String]): Gauge =
lookupInstrument(name, unit, tags, InstrumentType.Gauge, instrumentFactory.get().buildGauge)
def minMaxCounter(name: String, unit: MeasurementUnit, tags: Map[String, String], dynamicRange: Option[DynamicRange], sampleInterval: Option[Duration]): MinMaxCounter =
lookupInstrument(name, unit, tags, InstrumentType.MinMaxCounter, instrumentFactory.get().buildMinMaxCounter(dynamicRange, sampleInterval))
override def snapshot(): RegistrySnapshot = synchronized {
var histograms = Seq.empty[DistributionSnapshot]
var mmCounters = Seq.empty[DistributionSnapshot]
var counters = Seq.empty[SingleValueSnapshot]
var gauges = Seq.empty[SingleValueSnapshot]
for {
metricEntry <- metrics.values
instrument <- metricEntry.instruments.values
} {
metricEntry.instrumentType match {
case InstrumentType.Histogram => histograms = histograms :+ instrument.asInstanceOf[SnapshotableHistogram].snapshot()
case InstrumentType.MinMaxCounter => mmCounters = mmCounters :+ instrument.asInstanceOf[SnapshotableMinMaxCounter].snapshot()
case InstrumentType.Gauge => gauges = gauges :+ instrument.asInstanceOf[SnapshotableGauge].snapshot()
case InstrumentType.Counter => counters = counters :+ instrument.asInstanceOf[SnapshotableCounter].snapshot()
}
}
RegistrySnapshot(histograms, mmCounters, gauges, counters)
}
private def lookupInstrument[T](name: String, measurementUnit: MeasurementUnit, tags: Map[String, String],
instrumentType: InstrumentType, builder: (String, Map[String, String], MeasurementUnit) => T): T = {
val entry = metrics.atomicGetOrElseUpdate(name, MetricEntry(instrumentType, measurementUnit, TrieMap.empty))
if(entry.instrumentType != instrumentType)
sys.error(s"Tried to use metric [$name] as a [${instrumentType.name}] but it is already defined as [${entry.instrumentType.name}] ")
if(entry.unit != measurementUnit)
logger.warn("Ignoring attempt to use measurement unit [{}] on metric [name={}, tags={}], the metric uses [{}]",
measurementUnit.magnitude.name, name, tags.prettyPrint(), entry.unit.magnitude.name)
entry.instruments.getOrElseUpdate(tags, builder(name, tags, measurementUnit)).asInstanceOf[T]
}
private case class InstrumentType(name: String)
private object InstrumentType {
val Histogram = InstrumentType("Histogram")
val MinMaxCounter = InstrumentType("MinMaxCounter")
val Counter = InstrumentType("Counter")
val Gauge = InstrumentType("Gauge")
}
private case class MetricEntry(instrumentType: InstrumentType, unit: MeasurementUnit, instruments: TrieMap[Map[String, String], Any])
}
//
//
//trait RecorderRegistry {
// def shouldTrack(entity: Entity): Boolean
// def getRecorder(entity: Entity): EntityRecorder
// def removeRecorder(entity: Entity): Boolean
//}
//
//class RecorderRegistryImpl(initialConfig: Config) extends RecorderRegistry {
// private val scheduler = new ScheduledThreadPoolExecutor(1, numberedThreadFactory("kamon.metric.refresh-scheduler"))
// private val instrumentFactory = new AtomicReference[InstrumentFactory]()
// private val entityFilter = new AtomicReference[Filter]()
// private val entities = TrieMap.empty[Entity, EntityRecorder with EntitySnapshotProducer]
//
// reconfigure(initialConfig)
//
//
// override def shouldTrack(entity: Entity): Boolean =
// entityFilter.get().accept(entity)
//
// override def getRecorder(entity: Entity): EntityRecorder =
// entities.atomicGetOrElseUpdate(entity, new DefaultEntityRecorder(entity, instrumentFactory.get(), scheduler))
//
// override def removeRecorder(entity: Entity): Boolean =
// entities.remove(entity).nonEmpty
//
// private[kamon] def reconfigure(config: Config): Unit = synchronized {
// instrumentFactory.set(InstrumentFactory.fromConfig(config))
// entityFilter.set(Filter.fromConfig(config))
//
// val refreshSchedulerPoolSize = config.getInt("kamon.metric.refresh-scheduler-pool-size")
// scheduler.setCorePoolSize(refreshSchedulerPoolSize)
// }
//
// //private[kamon] def diagnosticData
//}
//
//case class RecorderRegistryDiagnostic(entities: Seq[Entity])
//
object Test extends App {
val registry = new Registry(ConfigFactory.load())
println(registry.histogram("test-1", MeasurementUnit.none, Map.empty, Some(DynamicRange.Default)).dynamicRange)
println(registry.histogram("test-2", MeasurementUnit.none, Map.empty, Option(DynamicRange.Fine)).dynamicRange)
println(Kamon.histogram("my-test"))
}
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