2 * ============LICENSE_START=======================================================
3 * Copyright (C) 2016-2018 Ericsson. All rights reserved.
4 * Modifications Copyright (C) 2019-2020 Nordix Foundation.
5 * ================================================================================
6 * Licensed under the Apache License, Version 2.0 (the "License");
7 * you may not use this file except in compliance with the License.
8 * You may obtain a copy of the License at
10 * http://www.apache.org/licenses/LICENSE-2.0
12 * Unless required by applicable law or agreed to in writing, software
13 * distributed under the License is distributed on an "AS IS" BASIS,
14 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
15 * See the License for the specific language governing permissions and
16 * limitations under the License.
18 * SPDX-License-Identifier: Apache-2.0
19 * ============LICENSE_END=========================================================
22 package org.onap.policy.apex.examples.adaptive;
24 import static org.awaitility.Awaitility.await;
25 import static org.junit.Assert.assertEquals;
26 import static org.junit.Assert.assertNotNull;
27 import static org.junit.Assert.assertTrue;
29 import java.io.IOException;
30 import java.util.Random;
31 import java.util.concurrent.TimeUnit;
32 import org.junit.After;
33 import org.junit.Before;
34 import org.junit.Test;
35 import org.onap.policy.apex.context.impl.schema.java.JavaSchemaHelperParameters;
36 import org.onap.policy.apex.context.parameters.ContextParameterConstants;
37 import org.onap.policy.apex.context.parameters.ContextParameters;
38 import org.onap.policy.apex.context.parameters.SchemaParameters;
39 import org.onap.policy.apex.core.engine.EngineParameters;
40 import org.onap.policy.apex.core.engine.engine.ApexEngine;
41 import org.onap.policy.apex.core.engine.engine.impl.ApexEngineFactory;
42 import org.onap.policy.apex.core.engine.event.EnEvent;
43 import org.onap.policy.apex.examples.adaptive.model.AdaptiveDomainModelFactory;
44 import org.onap.policy.apex.model.basicmodel.concepts.ApexException;
45 import org.onap.policy.apex.model.basicmodel.concepts.AxArtifactKey;
46 import org.onap.policy.apex.model.basicmodel.concepts.AxValidationResult;
47 import org.onap.policy.apex.model.enginemodel.concepts.AxEngineState;
48 import org.onap.policy.apex.model.policymodel.concepts.AxPolicyModel;
49 import org.onap.policy.apex.plugins.executor.java.JavaExecutorParameters;
50 import org.onap.policy.apex.plugins.executor.mvel.MvelExecutorParameters;
51 import org.onap.policy.common.parameters.ParameterService;
52 import org.slf4j.ext.XLogger;
53 import org.slf4j.ext.XLoggerFactory;
55 // TODO: Auto-generated Javadoc
57 * Test Auto learning in TSL.
59 * @author John Keeney (John.Keeney@ericsson.com)
61 public class AutoLearnTslUseCaseTest {
62 private static final XLogger LOGGER = XLoggerFactory.getXLogger(AutoLearnTslUseCaseTest.class);
64 private static final int MAXITERATIONS = 1000;
65 private static final Random rand = new Random(System.currentTimeMillis());
67 private SchemaParameters schemaParameters;
68 private ContextParameters contextParameters;
69 private EngineParameters engineParameters;
75 public void beforeTest() {
76 schemaParameters = new SchemaParameters();
78 schemaParameters.setName(ContextParameterConstants.SCHEMA_GROUP_NAME);
79 schemaParameters.getSchemaHelperParameterMap().put("JAVA", new JavaSchemaHelperParameters());
81 ParameterService.register(schemaParameters);
83 contextParameters = new ContextParameters();
85 contextParameters.setName(ContextParameterConstants.MAIN_GROUP_NAME);
86 contextParameters.getDistributorParameters().setName(ContextParameterConstants.DISTRIBUTOR_GROUP_NAME);
87 contextParameters.getLockManagerParameters().setName(ContextParameterConstants.LOCKING_GROUP_NAME);
88 contextParameters.getPersistorParameters().setName(ContextParameterConstants.PERSISTENCE_GROUP_NAME);
90 ParameterService.register(contextParameters);
91 ParameterService.register(contextParameters.getDistributorParameters());
92 ParameterService.register(contextParameters.getLockManagerParameters());
93 ParameterService.register(contextParameters.getPersistorParameters());
95 engineParameters = new EngineParameters();
96 engineParameters.getExecutorParameterMap().put("MVEL", new MvelExecutorParameters());
97 engineParameters.getExecutorParameterMap().put("JAVA", new JavaExecutorParameters());
98 ParameterService.register(engineParameters);
105 public void afterTest() {
106 ParameterService.deregister(engineParameters);
108 ParameterService.deregister(contextParameters.getDistributorParameters());
109 ParameterService.deregister(contextParameters.getLockManagerParameters());
110 ParameterService.deregister(contextParameters.getPersistorParameters());
111 ParameterService.deregister(contextParameters);
113 ParameterService.deregister(schemaParameters);
117 * Test auto learn tsl.
119 * @throws ApexException the apex exception
120 * @throws InterruptedException the interrupted exception
121 * @throws IOException Signals that an I/O exception has occurred.
124 // once through the long running test below
125 public void testAutoLearnTsl() throws ApexException, InterruptedException, IOException {
126 final AxPolicyModel apexPolicyModel = new AdaptiveDomainModelFactory().getAutoLearnPolicyModel();
127 assertNotNull(apexPolicyModel);
129 final AxValidationResult validationResult = new AxValidationResult();
130 apexPolicyModel.validate(validationResult);
131 assertTrue(validationResult.isValid());
133 final AxArtifactKey key = new AxArtifactKey("AADMApexEngine", "0.0.1");
135 final ApexEngine apexEngine1 = new ApexEngineFactory().createApexEngine(key);
137 final TestApexActionListener listener1 = new TestApexActionListener("TestListener1");
138 apexEngine1.addEventListener("listener", listener1);
139 apexEngine1.updateModel(apexPolicyModel, false);
141 final EnEvent triggerEvent = apexEngine1.createEvent(new AxArtifactKey("AutoLearnTriggerEvent", "0.0.1"));
142 final double rval = rand.nextGaussian();
143 triggerEvent.put("MonitoredValue", rval);
144 triggerEvent.put("LastMonitoredValue", 0D);
145 LOGGER.info("Triggering policy in Engine 1 with " + triggerEvent);
146 apexEngine1.handleEvent(triggerEvent);
147 final EnEvent result = listener1.getResult();
148 LOGGER.info("Receiving action event {} ", result);
149 assertEquals("ExecutionIDs are different", triggerEvent.getExecutionId(), result.getExecutionId());
150 triggerEvent.clear();
152 await().atLeast(10, TimeUnit.MILLISECONDS).until(() -> triggerEvent.isEmpty() && result.isEmpty());
157 * This policy passes, and receives a Double event context filed called "EVCDouble"<br>
158 * The policy tries to keep the value at 50, with a Min -100, Max 100 (These should probably be set using
159 * TaskParameters!)<br>
160 * The policy has 7 Decide Tasks that manipulate the value of this field in unknown ways.<br>
161 * The Decide TSL learns the effect of each task, and then selects the appropriate task to get the value back to
163 * After the value settles close to 50 for a while, the test Rests the value to to random number and then
165 * To plot the results grep stdout debug results for the string "*******", paste into excel and delete non-relevant
168 * @throws ApexException the apex exception
169 * @throws InterruptedException the interrupted exception
170 * @throws IOException Signals that an I/O exception has occurred.
173 public void testAutoLearnTslMain() throws ApexException, InterruptedException, IOException {
175 final double dwant = 50.0;
176 final double toleranceTileJump = 3.0;
178 final AxPolicyModel apexPolicyModel = new AdaptiveDomainModelFactory().getAutoLearnPolicyModel();
179 assertNotNull(apexPolicyModel);
181 final AxValidationResult validationResult = new AxValidationResult();
182 apexPolicyModel.validate(validationResult);
183 assertTrue(validationResult.isValid());
185 final AxArtifactKey key = new AxArtifactKey("AADMApexEngine", "0.0.1");
186 final EngineParameters parameters = new EngineParameters();
187 parameters.getExecutorParameterMap().put("MVEL", new MvelExecutorParameters());
188 parameters.getExecutorParameterMap().put("JAVA", new JavaExecutorParameters());
190 final ApexEngine apexEngine1 = new ApexEngineFactory().createApexEngine(key);
192 final TestApexActionListener listener1 = new TestApexActionListener("TestListener1");
193 apexEngine1.addEventListener("listener1", listener1);
194 apexEngine1.updateModel(apexPolicyModel, false);
197 final EnEvent triggerEvent = apexEngine1.createEvent(new AxArtifactKey("AutoLearnTriggerEvent", "0.0.1"));
198 assertNotNull(triggerEvent);
199 final double dmin = -100;
200 final double dmax = 100;
202 double rval = (((rand.nextGaussian() + 1) / 2) * (dmax - dmin)) + dmin;
203 triggerEvent.put("MonitoredValue", rval);
204 triggerEvent.put("LastMonitoredValue", 0);
210 for (int iteration = 0; iteration < MAXITERATIONS; iteration++) {
211 // Trigger the policy in engine 1
212 LOGGER.info("Triggering policy in Engine 1 with " + triggerEvent);
213 apexEngine1.handleEvent(triggerEvent);
214 final EnEvent result = listener1.getResult();
215 LOGGER.info("Receiving action event {} ", result);
216 triggerEvent.clear();
218 double val = (Double) result.get("MonitoredValue");
219 final double prevval = (Double) result.get("LastMonitoredValue");
221 triggerEvent.put("MonitoredValue", prevval);
222 triggerEvent.put("LastMonitoredValue", val);
224 avcount = Math.min((avcount + 1), 20); // maintain average of only the last 20 values
225 avval = ((avval * (avcount - 1)) + val) / (avcount);
227 distance = Math.abs(dwant - avval);
228 if (distance < toleranceTileJump) {
229 rval = (((rand.nextGaussian() + 1) / 2) * (dmax - dmin)) + dmin;
231 triggerEvent.put("MonitoredValue", val);
232 LOGGER.info("Iteration " + iteration + ": Average " + avval + " has become closer (" + distance
233 + ") than " + toleranceTileJump + " to " + dwant + " so reseting val:\t\t\t\t\t\t\t\t" + val);
237 LOGGER.info("Iteration " + iteration + ": \tpreval\t" + prevval + "\tval\t" + val + "\tavval\t" + avval);
240 await().atLeast(10, TimeUnit.MILLISECONDS).until(() -> !result.isEmpty());
244 await().atMost(1000, TimeUnit.MILLISECONDS).until(() -> apexEngine1.getState().equals(AxEngineState.STOPPED));
250 * @param args the arguments
251 * @throws ApexException the apex exception
252 * @throws InterruptedException the interrupted exception
253 * @throws IOException Signals that an I/O exception has occurred.
255 public static void main(final String[] args) throws ApexException, InterruptedException, IOException {
256 new AutoLearnTslUseCaseTest().testAutoLearnTslMain();