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sdk-metrics: add
Aggregator.synchronous and Aggregator.asynchronous
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182
...metrics/src/test/scala/org/typelevel/otel4s/sdk/metrics/aggregation/AggregatorSuite.scala
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| /* | ||
| * Copyright 2024 Typelevel | ||
| * | ||
| * 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 org.typelevel.otel4s.sdk.metrics.aggregation | ||
|
|
||
| import cats.effect.IO | ||
| import cats.effect.std.Random | ||
| import munit.CatsEffectSuite | ||
| import munit.ScalaCheckEffectSuite | ||
| import org.scalacheck.Gen | ||
| import org.scalacheck.effect.PropF | ||
| import org.typelevel.otel4s.sdk.metrics.Aggregation | ||
| import org.typelevel.otel4s.sdk.metrics.InstrumentType | ||
| import org.typelevel.otel4s.sdk.metrics.data.MetricData | ||
| import org.typelevel.otel4s.sdk.metrics.data.MetricPoints | ||
| import org.typelevel.otel4s.sdk.metrics.exemplar.ExemplarFilter | ||
| import org.typelevel.otel4s.sdk.metrics.exemplar.TraceContextLookup | ||
| import org.typelevel.otel4s.sdk.metrics.internal.MetricDescriptor | ||
| import org.typelevel.otel4s.sdk.metrics.scalacheck.Gens | ||
|
|
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| class AggregatorSuite extends CatsEffectSuite with ScalaCheckEffectSuite { | ||
|
|
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| private val synchronousAggregationGen: Gen[Aggregation.Synchronous] = | ||
| Gen.oneOf( | ||
| Gen.const(Aggregation.Default), | ||
| Gen.const(Aggregation.Sum), | ||
| Gen.const(Aggregation.LastValue), | ||
| Gens.bucketBoundaries.map(Aggregation.ExplicitBucketHistogram) | ||
| ) | ||
|
|
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| private val asynchronousAggregationGen: Gen[Aggregation.Asynchronous] = | ||
| Gen.oneOf( | ||
| Gen.const(Aggregation.Default), | ||
| Gen.const(Aggregation.Sum), | ||
| Gen.const(Aggregation.LastValue) | ||
| ) | ||
|
|
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| test("create an aggregator for a synchronous instrument") { | ||
| PropF.forAllF( | ||
| synchronousAggregationGen, | ||
| Gens.synchronousInstrumentDescriptor, | ||
| Gens.telemetryResource, | ||
| Gens.instrumentationScope, | ||
| Gens.aggregationTemporality | ||
| ) { (aggregation, descriptor, resource, scope, temporality) => | ||
| Random.scalaUtilRandom[IO].flatMap { implicit R: Random[IO] => | ||
| val aggregator = Aggregator.synchronous[IO, Long]( | ||
| aggregation, | ||
| descriptor, | ||
| ExemplarFilter.alwaysOn, | ||
| TraceContextLookup.noop | ||
| ) | ||
|
|
||
| val expected = { | ||
| def sum = { | ||
| val monotonic = | ||
| descriptor.instrumentType match { | ||
| case InstrumentType.Counter => true | ||
| case InstrumentType.Histogram => true | ||
| case _ => false | ||
| } | ||
|
|
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| MetricPoints.sum(Vector.empty, monotonic, temporality) | ||
| } | ||
|
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| def lastValue = | ||
| MetricPoints.gauge(Vector.empty) | ||
|
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| def histogram = | ||
| MetricPoints.histogram(Vector.empty, temporality) | ||
|
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| val metricPoints = aggregation match { | ||
| case Aggregation.Default => | ||
| descriptor.instrumentType match { | ||
| case InstrumentType.Counter => sum | ||
| case InstrumentType.UpDownCounter => sum | ||
| case InstrumentType.Histogram => histogram | ||
| } | ||
|
|
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| case Aggregation.Sum => sum | ||
| case Aggregation.LastValue => lastValue | ||
| case Aggregation.ExplicitBucketHistogram(_) => histogram | ||
| } | ||
|
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| MetricData( | ||
| resource = resource, | ||
| scope = scope, | ||
| name = descriptor.name.toString, | ||
| description = descriptor.description, | ||
| unit = descriptor.unit, | ||
| data = metricPoints | ||
| ) | ||
| } | ||
|
|
||
| for { | ||
| result <- aggregator.toMetricData( | ||
| resource, | ||
| scope, | ||
| MetricDescriptor(None, descriptor), | ||
| Vector.empty, | ||
| temporality | ||
| ) | ||
| } yield assertEquals(result, expected) | ||
| } | ||
| } | ||
| } | ||
|
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| test("create an aggregator for an asynchronous instrument") { | ||
| PropF.forAllF( | ||
| asynchronousAggregationGen, | ||
| Gens.asynchronousInstrumentDescriptor, | ||
| Gens.telemetryResource, | ||
| Gens.instrumentationScope, | ||
| Gens.aggregationTemporality | ||
| ) { (aggregation, descriptor, resource, scope, temporality) => | ||
| val aggregator = Aggregator.asynchronous[IO, Long]( | ||
| aggregation, | ||
| descriptor | ||
| ) | ||
|
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| val expected = { | ||
| def sum = { | ||
| val monotonic = | ||
| descriptor.instrumentType match { | ||
| case InstrumentType.ObservableCounter => true | ||
| case _ => false | ||
| } | ||
|
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| MetricPoints.sum(Vector.empty, monotonic, temporality) | ||
| } | ||
|
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| def lastValue = | ||
| MetricPoints.gauge(Vector.empty) | ||
|
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| val metricPoints = aggregation match { | ||
| case Aggregation.Default => | ||
| descriptor.instrumentType match { | ||
| case InstrumentType.ObservableCounter => sum | ||
| case InstrumentType.ObservableUpDownCounter => sum | ||
| case InstrumentType.ObservableGauge => lastValue | ||
| } | ||
|
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| case Aggregation.Sum => sum | ||
| case Aggregation.LastValue => lastValue | ||
| } | ||
|
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| MetricData( | ||
| resource = resource, | ||
| scope = scope, | ||
| name = descriptor.name.toString, | ||
| description = descriptor.description, | ||
| unit = descriptor.unit, | ||
| data = metricPoints | ||
| ) | ||
| } | ||
|
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| for { | ||
| result <- aggregator.toMetricData( | ||
| resource, | ||
| scope, | ||
| MetricDescriptor(None, descriptor), | ||
| Vector.empty, | ||
| temporality | ||
| ) | ||
| } yield assertEquals(result, expected) | ||
| } | ||
| } | ||
|
|
||
| } |
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