2 * ============LICENSE_START=======================================================
3 * Copyright (C) 2016-2018 Ericsson. All rights reserved.
4 * ================================================================================
5 * Licensed under the Apache License, Version 2.0 (the "License");
6 * you may not use this file except in compliance with the License.
7 * You may obtain a copy of the License at
9 * http://www.apache.org/licenses/LICENSE-2.0
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
17 * SPDX-License-Identifier: Apache-2.0
18 * ============LICENSE_END=========================================================
21 package org.onap.policy.apex.examples.adaptive;
23 import static org.junit.Assert.assertEquals;
24 import static org.junit.Assert.assertNotNull;
25 import static org.junit.Assert.assertTrue;
27 import java.io.IOException;
28 import java.util.Random;
30 import org.junit.After;
31 import org.junit.Before;
32 import org.junit.Test;
33 import org.onap.policy.apex.context.impl.schema.java.JavaSchemaHelperParameters;
34 import org.onap.policy.apex.context.parameters.ContextParameterConstants;
35 import org.onap.policy.apex.context.parameters.ContextParameters;
36 import org.onap.policy.apex.context.parameters.SchemaParameters;
37 import org.onap.policy.apex.core.engine.EngineParameters;
38 import org.onap.policy.apex.core.engine.engine.ApexEngine;
39 import org.onap.policy.apex.core.engine.engine.impl.ApexEngineFactory;
40 import org.onap.policy.apex.core.engine.event.EnEvent;
41 import org.onap.policy.apex.examples.adaptive.model.AdaptiveDomainModelFactory;
42 import org.onap.policy.apex.model.basicmodel.concepts.ApexException;
43 import org.onap.policy.apex.model.basicmodel.concepts.AxArtifactKey;
44 import org.onap.policy.apex.model.basicmodel.concepts.AxValidationResult;
45 import org.onap.policy.apex.model.policymodel.concepts.AxPolicyModel;
46 import org.onap.policy.apex.plugins.executor.java.JavaExecutorParameters;
47 import org.onap.policy.apex.plugins.executor.mvel.MvelExecutorParameters;
48 import org.onap.policy.common.parameters.ParameterService;
49 import org.slf4j.ext.XLogger;
50 import org.slf4j.ext.XLoggerFactory;
52 // TODO: Auto-generated Javadoc
54 * Test Auto learning in TSL.
56 * @author John Keeney (John.Keeney@ericsson.com)
58 public class TestAutoLearnTslUseCase {
59 private static final XLogger LOGGER = XLoggerFactory.getXLogger(TestAutoLearnTslUseCase.class);
61 private static final int MAXITERATIONS = 1000;
62 private static final Random rand = new Random(System.currentTimeMillis());
64 private SchemaParameters schemaParameters;
65 private ContextParameters contextParameters;
66 private EngineParameters engineParameters;
72 public void beforeTest() {
73 schemaParameters = new SchemaParameters();
75 schemaParameters.setName(ContextParameterConstants.SCHEMA_GROUP_NAME);
76 schemaParameters.getSchemaHelperParameterMap().put("JAVA", new JavaSchemaHelperParameters());
78 ParameterService.register(schemaParameters);
80 contextParameters = new ContextParameters();
82 contextParameters.setName(ContextParameterConstants.MAIN_GROUP_NAME);
83 contextParameters.getDistributorParameters().setName(ContextParameterConstants.DISTRIBUTOR_GROUP_NAME);
84 contextParameters.getLockManagerParameters().setName(ContextParameterConstants.LOCKING_GROUP_NAME);
85 contextParameters.getPersistorParameters().setName(ContextParameterConstants.PERSISTENCE_GROUP_NAME);
87 ParameterService.register(contextParameters);
88 ParameterService.register(contextParameters.getDistributorParameters());
89 ParameterService.register(contextParameters.getLockManagerParameters());
90 ParameterService.register(contextParameters.getPersistorParameters());
92 engineParameters = new EngineParameters();
93 engineParameters.getExecutorParameterMap().put("MVEL", new MvelExecutorParameters());
94 engineParameters.getExecutorParameterMap().put("JAVA", new JavaExecutorParameters());
95 ParameterService.register(engineParameters);
102 public void afterTest() {
103 ParameterService.deregister(engineParameters);
105 ParameterService.deregister(contextParameters.getDistributorParameters());
106 ParameterService.deregister(contextParameters.getLockManagerParameters());
107 ParameterService.deregister(contextParameters.getPersistorParameters());
108 ParameterService.deregister(contextParameters);
110 ParameterService.deregister(schemaParameters);
114 * Test auto learn tsl.
116 * @throws ApexException the apex exception
117 * @throws InterruptedException the interrupted exception
118 * @throws IOException Signals that an I/O exception has occurred.
121 // once through the long running test below
122 public void testAutoLearnTsl() throws ApexException, InterruptedException, IOException {
123 final AxPolicyModel apexPolicyModel = new AdaptiveDomainModelFactory().getAutoLearnPolicyModel();
124 assertNotNull(apexPolicyModel);
126 final AxValidationResult validationResult = new AxValidationResult();
127 apexPolicyModel.validate(validationResult);
128 assertTrue(validationResult.isValid());
130 final AxArtifactKey key = new AxArtifactKey("AADMApexEngine", "0.0.1");
132 final ApexEngine apexEngine1 = new ApexEngineFactory().createApexEngine(key);
134 final TestApexActionListener listener1 = new TestApexActionListener("TestListener1");
135 apexEngine1.addEventListener("listener", listener1);
136 apexEngine1.updateModel(apexPolicyModel);
138 final EnEvent triggerEvent = apexEngine1.createEvent(new AxArtifactKey("AutoLearnTriggerEvent", "0.0.1"));
139 final double rval = rand.nextGaussian();
140 triggerEvent.put("MonitoredValue", rval);
141 triggerEvent.put("LastMonitoredValue", 0D);
142 LOGGER.info("Triggering policy in Engine 1 with " + triggerEvent);
143 apexEngine1.handleEvent(triggerEvent);
144 final EnEvent result = listener1.getResult();
145 LOGGER.info("Receiving action event {} ", result);
146 assertEquals("ExecutionIDs are different", triggerEvent.getExecutionId(), result.getExecutionId());
147 triggerEvent.clear();
154 * This policy passes, and receives a Double event context filed called "EVCDouble"<br>
155 * The policy tries to keep the value at 50, with a Min -100, Max 100 (These should probably be set using
156 * TaskParameters!)<br>
157 * The policy has 7 Decide Tasks that manipulate the value of this field in unknown ways.<br>
158 * The Decide TSL learns the effect of each task, and then selects the appropriate task to get the value back to
160 * After the value settles close to 50 for a while, the test Rests the value to to random number and then
162 * To plot the results grep stdout debug results for the string "*******", paste into excel and delete non-relevant
165 * @throws ApexException the apex exception
166 * @throws InterruptedException the interrupted exception
167 * @throws IOException Signals that an I/O exception has occurred.
170 public void testAutoLearnTslMain() throws ApexException, InterruptedException, IOException {
172 final double dwant = 50.0;
173 final double toleranceTileJump = 3.0;
175 final AxPolicyModel apexPolicyModel = new AdaptiveDomainModelFactory().getAutoLearnPolicyModel();
176 assertNotNull(apexPolicyModel);
178 final AxValidationResult validationResult = new AxValidationResult();
179 apexPolicyModel.validate(validationResult);
180 assertTrue(validationResult.isValid());
182 final AxArtifactKey key = new AxArtifactKey("AADMApexEngine", "0.0.1");
183 final EngineParameters parameters = new EngineParameters();
184 parameters.getExecutorParameterMap().put("MVEL", new MvelExecutorParameters());
185 parameters.getExecutorParameterMap().put("JAVA", new JavaExecutorParameters());
187 final ApexEngine apexEngine1 = new ApexEngineFactory().createApexEngine(key);
189 final TestApexActionListener listener1 = new TestApexActionListener("TestListener1");
190 apexEngine1.addEventListener("listener1", listener1);
191 apexEngine1.updateModel(apexPolicyModel);
194 final EnEvent triggerEvent = apexEngine1.createEvent(new AxArtifactKey("AutoLearnTriggerEvent", "0.0.1"));
195 assertNotNull(triggerEvent);
196 final double dmin = -100;
197 final double dmax = 100;
199 double rval = (((rand.nextGaussian() + 1) / 2) * (dmax - dmin)) + dmin;
200 triggerEvent.put("MonitoredValue", rval);
201 triggerEvent.put("LastMonitoredValue", 0);
207 for (int iteration = 0; iteration < MAXITERATIONS; iteration++) {
208 // Trigger the policy in engine 1
209 LOGGER.info("Triggering policy in Engine 1 with " + triggerEvent);
210 apexEngine1.handleEvent(triggerEvent);
211 final EnEvent result = listener1.getResult();
212 LOGGER.info("Receiving action event {} ", result);
213 triggerEvent.clear();
215 double val = (Double) result.get("MonitoredValue");
216 final double prevval = (Double) result.get("LastMonitoredValue");
218 triggerEvent.put("MonitoredValue", prevval);
219 triggerEvent.put("LastMonitoredValue", val);
221 avcount = Math.min((avcount + 1), 20); // maintain average of only the last 20 values
222 avval = ((avval * (avcount - 1)) + val) / (avcount);
224 distance = Math.abs(dwant - avval);
225 if (distance < toleranceTileJump) {
226 rval = (((rand.nextGaussian() + 1) / 2) * (dmax - dmin)) + dmin;
228 triggerEvent.put("MonitoredValue", val);
229 LOGGER.info("Iteration " + iteration + ": Average " + avval + " has become closer (" + distance
230 + ") than " + toleranceTileJump + " to " + dwant + " so reseting val:\t\t\t\t\t\t\t\t" + val);
234 LOGGER.info("Iteration " + iteration + ": \tpreval\t" + prevval + "\tval\t" + val + "\tavval\t" + avval);
248 * @param args the arguments
249 * @throws ApexException the apex exception
250 * @throws InterruptedException the interrupted exception
251 * @throws IOException Signals that an I/O exception has occurred.
253 public static void main(final String[] args) throws ApexException, InterruptedException, IOException {
254 new TestAutoLearnTslUseCase().testAutoLearnTslMain();