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* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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
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* KIND, either express or implied. See the License for the
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package org.apache.brooklyn.policy.enricher;
import static org.testng.Assert.assertEquals;
import org.apache.brooklyn.api.entity.EntityLocal;
import org.apache.brooklyn.api.sensor.AttributeSensor;
import org.apache.brooklyn.api.sensor.Sensor;
import org.apache.brooklyn.core.entity.AbstractApplication;
import org.apache.brooklyn.core.entity.AbstractEntity;
import org.apache.brooklyn.core.entity.Entities;
import org.apache.brooklyn.core.sensor.BasicAttributeSensor;
import org.apache.brooklyn.policy.enricher.RollingTimeWindowMeanEnricher.ConfidenceQualifiedNumber;
import org.testng.annotations.AfterMethod;
import org.testng.annotations.BeforeMethod;
import org.testng.annotations.Test;
@SuppressWarnings("deprecation")
public class RollingTimeWindowMeanEnricherTest {
AbstractApplication app;
EntityLocal producer;
Sensor<Integer> intSensor;
AttributeSensor<Integer> deltaSensor;
AttributeSensor<Double> avgSensor;
RollingTimeWindowMeanEnricher<Integer> averager;
ConfidenceQualifiedNumber average;
private final long timePeriod = 1000;
@BeforeMethod
public void before() {
app = new AbstractApplication() {};
producer = new AbstractEntity(app) {};
Entities.startManagement(app);
intSensor = new BasicAttributeSensor<Integer>(Integer.class, "int sensor");
deltaSensor = new BasicAttributeSensor<Integer>(Integer.class, "delta sensor");
avgSensor = new BasicAttributeSensor<Double>(Double.class, "avg sensor");
producer.enrichers().add(new DeltaEnricher<Integer>(producer, intSensor, deltaSensor));
averager = new RollingTimeWindowMeanEnricher<Integer>(producer, deltaSensor, avgSensor, timePeriod);
producer.enrichers().add(averager);
}
@AfterMethod(alwaysRun=true)
public void tearDown() throws Exception {
if (app != null) Entities.destroyAll(app.getManagementContext());
}
@Test
public void testDefaultAverageWhenEmpty() {
average = averager.getAverage(0);
assertEquals(average.value, 0d);
assertEquals(average.confidence, 0.0d);
}
@Test
public void testNoRecentValuesAverage() {
averager.onEvent(intSensor.newEvent(producer, 10), 0L);
average = averager.getAverage(timePeriod+1000);
assertEquals(average.value, 10d);
assertEquals(average.confidence, 0d);
}
@Test
public void testNoRecentValuesUsesLastForAverage() {
averager.onEvent(intSensor.newEvent(producer, 10), 0L);
averager.onEvent(intSensor.newEvent(producer, 20), 10L);
average = averager.getAverage(timePeriod+1000);
assertEquals(average.value, 20d);
assertEquals(average.confidence, 0d);
}
@Test
public void testSingleValueTimeAverage() {
averager.onEvent(intSensor.newEvent(producer, 10), 1000);
average = averager.getAverage(1000);
assertEquals(average.confidence, 0d);
}
@Test
public void testTwoValueAverageForPeriod() {
averager.onEvent(intSensor.newEvent(producer, 10), 1000);
averager.onEvent(intSensor.newEvent(producer, 10), 2000);
average = averager.getAverage(2000);
assertEquals(average.value, 10 /1d);
assertEquals(average.confidence, 1d);
}
@Test
public void testMonospacedAverage() {
averager.onEvent(intSensor.newEvent(producer, 10), 1000);
averager.onEvent(intSensor.newEvent(producer, 20), 1250);
averager.onEvent(intSensor.newEvent(producer, 30), 1500);
averager.onEvent(intSensor.newEvent(producer, 40), 1750);
averager.onEvent(intSensor.newEvent(producer, 50), 2000);
average = averager.getAverage(2000);
assertEquals(average.value, (20+30+40+50)/4d);
assertEquals(average.confidence, 1d);
}
@Test
public void testWeightedAverage() {
averager.onEvent(intSensor.newEvent(producer, 10), 1000);
averager.onEvent(intSensor.newEvent(producer, 20), 1100);
averager.onEvent(intSensor.newEvent(producer, 30), 1300);
averager.onEvent(intSensor.newEvent(producer, 40), 1600);
averager.onEvent(intSensor.newEvent(producer, 50), 2000);
average = averager.getAverage(2000);
assertEquals(average.value, (20*0.1d)+(30*0.2d)+(40*0.3d)+(50*0.4d));
assertEquals(average.confidence, 1d);
}
@Test
public void testConfidenceDecay() {
averager.onEvent(intSensor.newEvent(producer, 10), 1000);
averager.onEvent(intSensor.newEvent(producer, 20), 1250);
averager.onEvent(intSensor.newEvent(producer, 30), 1500);
averager.onEvent(intSensor.newEvent(producer, 40), 1750);
averager.onEvent(intSensor.newEvent(producer, 50), 2000);
average = averager.getAverage(2250);
assertEquals(average.value, (30+40+50)/3d);
assertEquals(average.confidence, 0.75d);
average = averager.getAverage(2500);
assertEquals(average.value, (40+50)/2d);
assertEquals(average.confidence, 0.5d);
average = averager.getAverage(2750);
assertEquals(average.value, 50d);
assertEquals(average.confidence, 0.25d);
average = averager.getAverage(3000);
assertEquals(average.value, 50d);
assertEquals(average.confidence, 0d);
}
}