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;
33 import org.junit.After;
34 import org.junit.Before;
35 import org.junit.Test;
36 import org.onap.policy.apex.context.impl.schema.java.JavaSchemaHelperParameters;
37 import org.onap.policy.apex.context.parameters.ContextParameterConstants;
38 import org.onap.policy.apex.context.parameters.ContextParameters;
39 import org.onap.policy.apex.context.parameters.SchemaParameters;
40 import org.onap.policy.apex.core.engine.EngineParameters;
41 import org.onap.policy.apex.core.engine.engine.ApexEngine;
42 import org.onap.policy.apex.core.engine.engine.impl.ApexEngineFactory;
43 import org.onap.policy.apex.core.engine.event.EnEvent;
44 import org.onap.policy.apex.examples.adaptive.model.AdaptiveDomainModelFactory;
45 import org.onap.policy.apex.model.basicmodel.concepts.ApexException;
46 import org.onap.policy.apex.model.basicmodel.concepts.AxArtifactKey;
47 import org.onap.policy.apex.model.basicmodel.concepts.AxValidationResult;
48 import org.onap.policy.apex.model.enginemodel.concepts.AxEngineState;
49 import org.onap.policy.apex.model.policymodel.concepts.AxPolicyModel;
50 import org.onap.policy.apex.plugins.executor.java.JavaExecutorParameters;
51 import org.onap.policy.apex.plugins.executor.mvel.MvelExecutorParameters;
52 import org.onap.policy.common.parameters.ParameterService;
53 import org.slf4j.ext.XLogger;
54 import org.slf4j.ext.XLoggerFactory;
56 // TODO: Auto-generated Javadoc
58 * Test Auto learning in TSL.
60 * @author John Keeney (John.Keeney@ericsson.com)
62 public class AutoLearnTslUseCaseTest {
63 private static final XLogger LOGGER = XLoggerFactory.getXLogger(AutoLearnTslUseCaseTest.class);
65 private static final int MAXITERATIONS = 1000;
66 private static final Random rand = new Random(System.currentTimeMillis());
68 private SchemaParameters schemaParameters;
69 private ContextParameters contextParameters;
70 private EngineParameters engineParameters;
76 public void beforeTest() {
77 schemaParameters = new SchemaParameters();
79 schemaParameters.setName(ContextParameterConstants.SCHEMA_GROUP_NAME);
80 schemaParameters.getSchemaHelperParameterMap().put("JAVA", new JavaSchemaHelperParameters());
82 ParameterService.register(schemaParameters);
84 contextParameters = new ContextParameters();
86 contextParameters.setName(ContextParameterConstants.MAIN_GROUP_NAME);
87 contextParameters.getDistributorParameters().setName(ContextParameterConstants.DISTRIBUTOR_GROUP_NAME);
88 contextParameters.getLockManagerParameters().setName(ContextParameterConstants.LOCKING_GROUP_NAME);
89 contextParameters.getPersistorParameters().setName(ContextParameterConstants.PERSISTENCE_GROUP_NAME);
91 ParameterService.register(contextParameters);
92 ParameterService.register(contextParameters.getDistributorParameters());
93 ParameterService.register(contextParameters.getLockManagerParameters());
94 ParameterService.register(contextParameters.getPersistorParameters());
96 engineParameters = new EngineParameters();
97 engineParameters.getExecutorParameterMap().put("MVEL", new MvelExecutorParameters());
98 engineParameters.getExecutorParameterMap().put("JAVA", new JavaExecutorParameters());
99 ParameterService.register(engineParameters);
106 public void afterTest() {
107 ParameterService.deregister(engineParameters);
109 ParameterService.deregister(contextParameters.getDistributorParameters());
110 ParameterService.deregister(contextParameters.getLockManagerParameters());
111 ParameterService.deregister(contextParameters.getPersistorParameters());
112 ParameterService.deregister(contextParameters);
114 ParameterService.deregister(schemaParameters);
118 * Test auto learn tsl.
120 * @throws ApexException the apex exception
121 * @throws InterruptedException the interrupted exception
122 * @throws IOException Signals that an I/O exception has occurred.
125 // once through the long running test below
126 public void testAutoLearnTsl() throws ApexException, InterruptedException, IOException {
127 final AxPolicyModel apexPolicyModel = new AdaptiveDomainModelFactory().getAutoLearnPolicyModel();
128 assertNotNull(apexPolicyModel);
130 final AxValidationResult validationResult = new AxValidationResult();
131 apexPolicyModel.validate(validationResult);
132 assertTrue(validationResult.isValid());
134 final AxArtifactKey key = new AxArtifactKey("AADMApexEngine", "0.0.1");
136 final ApexEngine apexEngine1 = new ApexEngineFactory().createApexEngine(key);
138 final TestApexActionListener listener1 = new TestApexActionListener("TestListener1");
139 apexEngine1.addEventListener("listener", listener1);
140 apexEngine1.updateModel(apexPolicyModel, false);
142 final EnEvent triggerEvent = apexEngine1.createEvent(new AxArtifactKey("AutoLearnTriggerEvent", "0.0.1"));
143 final double rval = rand.nextGaussian();
144 triggerEvent.put("MonitoredValue", rval);
145 triggerEvent.put("LastMonitoredValue", 0D);
146 LOGGER.info("Triggering policy in Engine 1 with " + triggerEvent);
147 apexEngine1.handleEvent(triggerEvent);
148 final EnEvent result = listener1.getResult();
149 LOGGER.info("Receiving action event {} ", result);
150 assertEquals("ExecutionIDs are different", triggerEvent.getExecutionId(), result.getExecutionId());
151 triggerEvent.clear();
153 await().atLeast(10, TimeUnit.MILLISECONDS).until(() -> triggerEvent.isEmpty() && result.isEmpty());
158 * This policy passes, and receives a Double event context filed called "EVCDouble"<br>
159 * The policy tries to keep the value at 50, with a Min -100, Max 100 (These should probably be set using
160 * TaskParameters!)<br>
161 * The policy has 7 Decide Tasks that manipulate the value of this field in unknown ways.<br>
162 * The Decide TSL learns the effect of each task, and then selects the appropriate task to get the value back to
164 * After the value settles close to 50 for a while, the test Rests the value to to random number and then
166 * To plot the results grep stdout debug results for the string "*******", paste into excel and delete non-relevant
169 * @throws ApexException the apex exception
170 * @throws InterruptedException the interrupted exception
171 * @throws IOException Signals that an I/O exception has occurred.
174 public void testAutoLearnTslMain() throws ApexException, InterruptedException, IOException {
176 final double dwant = 50.0;
177 final double toleranceTileJump = 3.0;
179 final AxPolicyModel apexPolicyModel = new AdaptiveDomainModelFactory().getAutoLearnPolicyModel();
180 assertNotNull(apexPolicyModel);
182 final AxValidationResult validationResult = new AxValidationResult();
183 apexPolicyModel.validate(validationResult);
184 assertTrue(validationResult.isValid());
186 final AxArtifactKey key = new AxArtifactKey("AADMApexEngine", "0.0.1");
187 final EngineParameters parameters = new EngineParameters();
188 parameters.getExecutorParameterMap().put("MVEL", new MvelExecutorParameters());
189 parameters.getExecutorParameterMap().put("JAVA", new JavaExecutorParameters());
191 final ApexEngine apexEngine1 = new ApexEngineFactory().createApexEngine(key);
193 final TestApexActionListener listener1 = new TestApexActionListener("TestListener1");
194 apexEngine1.addEventListener("listener1", listener1);
195 apexEngine1.updateModel(apexPolicyModel, false);
198 final EnEvent triggerEvent = apexEngine1.createEvent(new AxArtifactKey("AutoLearnTriggerEvent", "0.0.1"));
199 assertNotNull(triggerEvent);
200 final double dmin = -100;
201 final double dmax = 100;
203 double rval = (((rand.nextGaussian() + 1) / 2) * (dmax - dmin)) + dmin;
204 triggerEvent.put("MonitoredValue", rval);
205 triggerEvent.put("LastMonitoredValue", 0);
211 for (int iteration = 0; iteration < MAXITERATIONS; iteration++) {
212 // Trigger the policy in engine 1
213 LOGGER.info("Triggering policy in Engine 1 with " + triggerEvent);
214 apexEngine1.handleEvent(triggerEvent);
215 final EnEvent result = listener1.getResult();
216 LOGGER.info("Receiving action event {} ", result);
217 triggerEvent.clear();
219 double val = (Double) result.get("MonitoredValue");
220 final double prevval = (Double) result.get("LastMonitoredValue");
222 triggerEvent.put("MonitoredValue", prevval);
223 triggerEvent.put("LastMonitoredValue", val);
225 avcount = Math.min((avcount + 1), 20); // maintain average of only the last 20 values
226 avval = ((avval * (avcount - 1)) + val) / (avcount);
228 distance = Math.abs(dwant - avval);
229 if (distance < toleranceTileJump) {
230 rval = (((rand.nextGaussian() + 1) / 2) * (dmax - dmin)) + dmin;
232 triggerEvent.put("MonitoredValue", val);
233 LOGGER.info("Iteration " + iteration + ": Average " + avval + " has become closer (" + distance
234 + ") than " + toleranceTileJump + " to " + dwant + " so reseting val:\t\t\t\t\t\t\t\t" + val);
238 LOGGER.info("Iteration " + iteration + ": \tpreval\t" + prevval + "\tval\t" + val + "\tavval\t" + avval);
241 await().atLeast(10, TimeUnit.MILLISECONDS).until(() -> !result.isEmpty());
245 await().atMost(1000, TimeUnit.MILLISECONDS).until(() -> apexEngine1.getState().equals(AxEngineState.STOPPED));
251 * @param args the arguments
252 * @throws ApexException the apex exception
253 * @throws InterruptedException the interrupted exception
254 * @throws IOException Signals that an I/O exception has occurred.
256 public static void main(final String[] args) throws ApexException, InterruptedException, IOException {
257 new AutoLearnTslUseCaseTest().testAutoLearnTslMain();