forked from elastic/elasticsearch
/
DatafeedManagerTests.java
469 lines (386 loc) · 24.3 KB
/
DatafeedManagerTests.java
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/*
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
* or more contributor license agreements. Licensed under the Elastic License;
* you may not use this file except in compliance with the Elastic License.
*/
package org.elasticsearch.xpack.ml.datafeed;
import org.elasticsearch.Version;
import org.elasticsearch.action.ActionListener;
import org.elasticsearch.client.Client;
import org.elasticsearch.cluster.ClusterChangedEvent;
import org.elasticsearch.cluster.ClusterName;
import org.elasticsearch.cluster.ClusterState;
import org.elasticsearch.cluster.ClusterStateListener;
import org.elasticsearch.cluster.metadata.MetaData;
import org.elasticsearch.cluster.node.DiscoveryNode;
import org.elasticsearch.cluster.node.DiscoveryNodes;
import org.elasticsearch.cluster.service.ClusterService;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.transport.TransportAddress;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.common.util.concurrent.ThreadContext;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.persistent.PersistentTasksCustomMetaData;
import org.elasticsearch.persistent.PersistentTasksCustomMetaData.PersistentTask;
import org.elasticsearch.test.ESTestCase;
import org.elasticsearch.threadpool.ThreadPool;
import org.elasticsearch.xpack.core.ml.action.StartDatafeedAction;
import org.elasticsearch.xpack.core.ml.action.StopDatafeedAction;
import org.elasticsearch.xpack.core.ml.datafeed.DatafeedConfig;
import org.elasticsearch.xpack.core.ml.job.config.AnalysisConfig;
import org.elasticsearch.xpack.core.ml.job.config.DataDescription;
import org.elasticsearch.xpack.core.ml.job.config.Detector;
import org.elasticsearch.xpack.core.ml.job.config.Job;
import org.elasticsearch.xpack.core.ml.job.config.JobState;
import org.elasticsearch.xpack.core.ml.notifications.AuditMessage;
import org.elasticsearch.xpack.core.ml.notifications.AuditorField;
import org.elasticsearch.xpack.ml.MachineLearning;
import org.elasticsearch.xpack.ml.action.TransportStartDatafeedAction.DatafeedTask;
import org.elasticsearch.xpack.ml.action.TransportStartDatafeedActionTests;
import org.elasticsearch.xpack.ml.job.persistence.MockClientBuilder;
import org.elasticsearch.xpack.ml.job.process.autodetect.AutodetectProcessManager;
import org.elasticsearch.xpack.ml.notifications.Auditor;
import org.junit.Before;
import org.mockito.ArgumentCaptor;
import java.net.InetAddress;
import java.util.Collections;
import java.util.Date;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.ScheduledFuture;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.function.Consumer;
import static org.elasticsearch.xpack.ml.action.TransportOpenJobActionTests.addJobTask;
import static org.hamcrest.Matchers.equalTo;
import static org.hamcrest.Matchers.is;
import static org.mockito.Matchers.any;
import static org.mockito.Matchers.anyLong;
import static org.mockito.Matchers.anyString;
import static org.mockito.Matchers.eq;
import static org.mockito.Mockito.doAnswer;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.never;
import static org.mockito.Mockito.spy;
import static org.mockito.Mockito.times;
import static org.mockito.Mockito.verify;
import static org.mockito.Mockito.when;
public class DatafeedManagerTests extends ESTestCase {
private ClusterService clusterService;
private ThreadPool threadPool;
private DatafeedJob datafeedJob;
private DatafeedManager datafeedManager;
private long currentTime = 120000;
private Auditor auditor;
private ArgumentCaptor<ClusterStateListener> capturedClusterStateListener = ArgumentCaptor.forClass(ClusterStateListener.class);
private AtomicBoolean hasOpenAutodetectCommunicator;
@Before
@SuppressWarnings("unchecked")
public void setUpTests() {
Job.Builder job = createDatafeedJob().setCreateTime(new Date());
PersistentTasksCustomMetaData.Builder tasksBuilder = PersistentTasksCustomMetaData.builder();
addJobTask(job.getId(), "node_id", JobState.OPENED, tasksBuilder);
PersistentTasksCustomMetaData tasks = tasksBuilder.build();
DiscoveryNodes nodes = DiscoveryNodes.builder()
.add(new DiscoveryNode("node_name", "node_id", new TransportAddress(InetAddress.getLoopbackAddress(), 9300),
Collections.emptyMap(), Collections.emptySet(), Version.CURRENT))
.build();
ClusterState.Builder cs = ClusterState.builder(new ClusterName("cluster_name"))
.metaData(new MetaData.Builder().putCustom(PersistentTasksCustomMetaData.TYPE, tasks))
.nodes(nodes);
clusterService = mock(ClusterService.class);
when(clusterService.state()).thenReturn(cs.build());
ArgumentCaptor<XContentBuilder> argumentCaptor = ArgumentCaptor.forClass(XContentBuilder.class);
Client client = new MockClientBuilder("foo")
.prepareIndex(AuditorField.NOTIFICATIONS_INDEX, AuditMessage.TYPE.getPreferredName(), "responseId", argumentCaptor)
.build();
DiscoveryNode dNode = mock(DiscoveryNode.class);
when(dNode.getName()).thenReturn("this_node_has_a_name");
when(clusterService.localNode()).thenReturn(dNode);
auditor = mock(Auditor.class);
auditor = mock(Auditor.class);
threadPool = mock(ThreadPool.class);
when(threadPool.getThreadContext()).thenReturn(new ThreadContext(Settings.EMPTY));
ExecutorService executorService = mock(ExecutorService.class);
doAnswer(invocation -> {
((Runnable) invocation.getArguments()[0]).run();
return null;
}).when(executorService).submit(any(Runnable.class));
when(threadPool.executor(MachineLearning.DATAFEED_THREAD_POOL_NAME)).thenReturn(executorService);
when(threadPool.executor(ThreadPool.Names.GENERIC)).thenReturn(executorService);
datafeedJob = mock(DatafeedJob.class);
when(datafeedJob.isRunning()).thenReturn(true);
when(datafeedJob.stop()).thenReturn(true);
when(datafeedJob.getJobId()).thenReturn(job.getId());
DatafeedJobBuilder datafeedJobBuilder = mock(DatafeedJobBuilder.class);
doAnswer(invocationOnMock -> {
@SuppressWarnings("rawtypes")
ActionListener listener = (ActionListener) invocationOnMock.getArguments()[1];
listener.onResponse(datafeedJob);
return null;
}).when(datafeedJobBuilder).build(any(), any());
hasOpenAutodetectCommunicator = new AtomicBoolean(true);
AutodetectProcessManager autodetectProcessManager = mock(AutodetectProcessManager.class);
doAnswer(invocation -> hasOpenAutodetectCommunicator.get()).when(autodetectProcessManager).hasOpenAutodetectCommunicator(anyLong());
datafeedManager = new DatafeedManager(threadPool, client, clusterService, datafeedJobBuilder, () -> currentTime, auditor,
autodetectProcessManager);
verify(clusterService).addListener(capturedClusterStateListener.capture());
}
public void testLookbackOnly_WarnsWhenNoDataIsRetrieved() throws Exception {
when(datafeedJob.runLookBack(0L, 60000L)).thenThrow(new DatafeedJob.EmptyDataCountException(0L));
Consumer<Exception> handler = mockConsumer();
DatafeedTask task = createDatafeedTask("datafeed_id", 0L, 60000L);
datafeedManager.run(task, handler);
verify(threadPool, times(1)).executor(MachineLearning.DATAFEED_THREAD_POOL_NAME);
verify(threadPool, never()).schedule(any(), any(), any());
verify(auditor).warning("job_id", "Datafeed lookback retrieved no data");
}
public void testStart_GivenNewlyCreatedJobLookback() throws Exception {
when(datafeedJob.runLookBack(0L, 60000L)).thenReturn(null);
Consumer<Exception> handler = mockConsumer();
DatafeedTask task = createDatafeedTask("datafeed_id", 0L, 60000L);
datafeedManager.run(task, handler);
verify(threadPool, times(1)).executor(MachineLearning.DATAFEED_THREAD_POOL_NAME);
verify(threadPool, never()).schedule(any(), any(), any());
}
public void testStart_extractionProblem() throws Exception {
when(datafeedJob.runLookBack(0, 60000L)).thenThrow(new DatafeedJob.ExtractionProblemException(0L, new RuntimeException("dummy")));
Consumer<Exception> handler = mockConsumer();
DatafeedTask task = createDatafeedTask("datafeed_id", 0L, 60000L);
datafeedManager.run(task, handler);
verify(threadPool, times(1)).executor(MachineLearning.DATAFEED_THREAD_POOL_NAME);
verify(threadPool, never()).schedule(any(), any(), any());
verify(auditor, times(1)).error(eq("job_id"), anyString());
}
public void testStart_emptyDataCountException() throws Exception {
currentTime = 6000000;
int[] counter = new int[] {0};
doAnswer(invocationOnMock -> {
if (counter[0]++ < 10) {
Runnable r = (Runnable) invocationOnMock.getArguments()[2];
currentTime += 600000;
r.run();
}
return mock(ScheduledFuture.class);
}).when(threadPool).schedule(any(), any(), any());
when(datafeedJob.runLookBack(anyLong(), anyLong())).thenThrow(new DatafeedJob.EmptyDataCountException(0L));
when(datafeedJob.runRealtime()).thenThrow(new DatafeedJob.EmptyDataCountException(0L));
Consumer<Exception> handler = mockConsumer();
DatafeedTask task = createDatafeedTask("datafeed_id", 0L, null);
datafeedManager.run(task, handler);
verify(threadPool, times(11)).schedule(any(), eq(MachineLearning.DATAFEED_THREAD_POOL_NAME), any());
verify(auditor, times(1)).warning(eq("job_id"), anyString());
}
public void testRealTime_GivenStoppingAnalysisProblem() throws Exception {
Exception cause = new RuntimeException("stopping");
when(datafeedJob.runLookBack(anyLong(), anyLong())).thenThrow(new DatafeedJob.AnalysisProblemException(0L, true, cause));
Consumer<Exception> handler = mockConsumer();
StartDatafeedAction.DatafeedParams params = new StartDatafeedAction.DatafeedParams("datafeed_id", 0L);
DatafeedTask task = TransportStartDatafeedActionTests.createDatafeedTask(1, "type", "action", null,
params, datafeedManager);
task = spyDatafeedTask(task);
datafeedManager.run(task, handler);
ArgumentCaptor<DatafeedJob.AnalysisProblemException> analysisProblemCaptor =
ArgumentCaptor.forClass(DatafeedJob.AnalysisProblemException.class);
verify(handler).accept(analysisProblemCaptor.capture());
assertThat(analysisProblemCaptor.getValue().getCause(), equalTo(cause));
verify(auditor).error("job_id", "Datafeed is encountering errors submitting data for analysis: stopping");
assertThat(datafeedManager.isRunning(task.getAllocationId()), is(false));
}
public void testRealTime_GivenNonStoppingAnalysisProblem() throws Exception {
Exception cause = new RuntimeException("non-stopping");
when(datafeedJob.runLookBack(anyLong(), anyLong())).thenThrow(new DatafeedJob.AnalysisProblemException(0L, false, cause));
Consumer<Exception> handler = mockConsumer();
StartDatafeedAction.DatafeedParams params = new StartDatafeedAction.DatafeedParams("datafeed_id", 0L);
DatafeedTask task = TransportStartDatafeedActionTests.createDatafeedTask(1, "type", "action", null,
params, datafeedManager);
task = spyDatafeedTask(task);
datafeedManager.run(task, handler);
verify(auditor).error("job_id", "Datafeed is encountering errors submitting data for analysis: non-stopping");
assertThat(datafeedManager.isRunning(task.getAllocationId()), is(true));
}
public void testStart_GivenNewlyCreatedJobLookBackAndRealtime() throws Exception {
when(datafeedJob.runLookBack(anyLong(), anyLong())).thenReturn(1L);
when(datafeedJob.runRealtime()).thenReturn(1L);
Consumer<Exception> handler = mockConsumer();
boolean cancelled = randomBoolean();
StartDatafeedAction.DatafeedParams params = new StartDatafeedAction.DatafeedParams("datafeed_id", 0L);
DatafeedTask task = TransportStartDatafeedActionTests.createDatafeedTask(1, "type", "action", null,
params, datafeedManager);
task = spyDatafeedTask(task);
datafeedManager.run(task, handler);
verify(threadPool, times(1)).executor(MachineLearning.DATAFEED_THREAD_POOL_NAME);
if (cancelled) {
task.stop("test", StopDatafeedAction.DEFAULT_TIMEOUT);
verify(handler).accept(null);
assertThat(datafeedManager.isRunning(task.getAllocationId()), is(false));
} else {
verify(threadPool, times(1)).schedule(eq(new TimeValue(1)), eq(MachineLearning.DATAFEED_THREAD_POOL_NAME), any());
assertThat(datafeedManager.isRunning(task.getAllocationId()), is(true));
}
}
public void testDatafeedTaskWaitsUntilJobIsOpened() {
PersistentTasksCustomMetaData.Builder tasksBuilder = PersistentTasksCustomMetaData.builder();
addJobTask("job_id", "node_id", JobState.OPENING, tasksBuilder);
ClusterState.Builder cs = ClusterState.builder(clusterService.state())
.metaData(new MetaData.Builder().putCustom(PersistentTasksCustomMetaData.TYPE, tasksBuilder.build()));
when(clusterService.state()).thenReturn(cs.build());
Consumer<Exception> handler = mockConsumer();
DatafeedTask task = createDatafeedTask("datafeed_id", 0L, 60000L);
datafeedManager.run(task, handler);
// Verify datafeed has not started running yet as job is still opening
verify(threadPool, never()).executor(MachineLearning.DATAFEED_THREAD_POOL_NAME);
tasksBuilder = PersistentTasksCustomMetaData.builder();
addJobTask("job_id", "node_id", JobState.OPENING, tasksBuilder);
addJobTask("another_job", "node_id", JobState.OPENED, tasksBuilder);
ClusterState.Builder anotherJobCs = ClusterState.builder(clusterService.state())
.metaData(new MetaData.Builder().putCustom(PersistentTasksCustomMetaData.TYPE, tasksBuilder.build()));
capturedClusterStateListener.getValue().clusterChanged(new ClusterChangedEvent("_source", anotherJobCs.build(), cs.build()));
// Still no run
verify(threadPool, never()).executor(MachineLearning.DATAFEED_THREAD_POOL_NAME);
tasksBuilder = PersistentTasksCustomMetaData.builder();
addJobTask("job_id", "node_id", JobState.OPENED, tasksBuilder);
ClusterState.Builder jobOpenedCs = ClusterState.builder(clusterService.state())
.metaData(new MetaData.Builder().putCustom(PersistentTasksCustomMetaData.TYPE, tasksBuilder.build()));
capturedClusterStateListener.getValue().clusterChanged(
new ClusterChangedEvent("_source", jobOpenedCs.build(), anotherJobCs.build()));
// Now it should run as the job state changed to OPENED
verify(threadPool, times(1)).executor(MachineLearning.DATAFEED_THREAD_POOL_NAME);
}
public void testDatafeedTaskWaitsUntilAutodetectCommunicatorIsOpen() {
hasOpenAutodetectCommunicator.set(false);
PersistentTasksCustomMetaData.Builder tasksBuilder = PersistentTasksCustomMetaData.builder();
addJobTask("job_id", "node_id", JobState.OPENED, tasksBuilder);
ClusterState.Builder cs = ClusterState.builder(clusterService.state())
.metaData(new MetaData.Builder().putCustom(PersistentTasksCustomMetaData.TYPE, tasksBuilder.build()));
when(clusterService.state()).thenReturn(cs.build());
Consumer<Exception> handler = mockConsumer();
DatafeedTask task = createDatafeedTask("datafeed_id", 0L, 60000L);
datafeedManager.run(task, handler);
// Verify datafeed has not started running yet as job doesn't have an open autodetect communicator
verify(threadPool, never()).executor(MachineLearning.DATAFEED_THREAD_POOL_NAME);
tasksBuilder = PersistentTasksCustomMetaData.builder();
addJobTask("job_id", "node_id", JobState.OPENED, tasksBuilder);
addJobTask("another_job", "node_id", JobState.OPENED, tasksBuilder);
ClusterState.Builder anotherJobCs = ClusterState.builder(clusterService.state())
.metaData(new MetaData.Builder().putCustom(PersistentTasksCustomMetaData.TYPE, tasksBuilder.build()));
capturedClusterStateListener.getValue().clusterChanged(new ClusterChangedEvent("_source", anotherJobCs.build(), cs.build()));
// Still no run
verify(threadPool, never()).executor(MachineLearning.DATAFEED_THREAD_POOL_NAME);
hasOpenAutodetectCommunicator.set(true);
capturedClusterStateListener.getValue().clusterChanged(
new ClusterChangedEvent("_source", cs.build(), anotherJobCs.build()));
// Now it should run as the autodetect communicator is open
verify(threadPool, times(1)).executor(MachineLearning.DATAFEED_THREAD_POOL_NAME);
}
public void testDatafeedTaskWaitsUntilJobIsNotStale() {
PersistentTasksCustomMetaData.Builder tasksBuilder = PersistentTasksCustomMetaData.builder();
addJobTask("job_id", "node_id", JobState.OPENED, tasksBuilder, true);
ClusterState.Builder cs = ClusterState.builder(clusterService.state())
.metaData(new MetaData.Builder().putCustom(PersistentTasksCustomMetaData.TYPE, tasksBuilder.build()));
when(clusterService.state()).thenReturn(cs.build());
Consumer<Exception> handler = mockConsumer();
DatafeedTask task = createDatafeedTask("datafeed_id", 0L, 60000L);
datafeedManager.run(task, handler);
// Verify datafeed has not started running yet as job is stale (i.e. even though opened it is part way through relocating)
verify(threadPool, never()).executor(MachineLearning.DATAFEED_THREAD_POOL_NAME);
tasksBuilder = PersistentTasksCustomMetaData.builder();
addJobTask("job_id", "node_id", JobState.OPENED, tasksBuilder, true);
addJobTask("another_job", "node_id", JobState.OPENED, tasksBuilder);
ClusterState.Builder anotherJobCs = ClusterState.builder(clusterService.state())
.metaData(new MetaData.Builder().putCustom(PersistentTasksCustomMetaData.TYPE, tasksBuilder.build()));
capturedClusterStateListener.getValue().clusterChanged(new ClusterChangedEvent("_source", anotherJobCs.build(), cs.build()));
// Still no run
verify(threadPool, never()).executor(MachineLearning.DATAFEED_THREAD_POOL_NAME);
tasksBuilder = PersistentTasksCustomMetaData.builder();
addJobTask("job_id", "node_id", JobState.OPENED, tasksBuilder);
ClusterState.Builder jobOpenedCs = ClusterState.builder(clusterService.state())
.metaData(new MetaData.Builder().putCustom(PersistentTasksCustomMetaData.TYPE, tasksBuilder.build()));
capturedClusterStateListener.getValue().clusterChanged(
new ClusterChangedEvent("_source", jobOpenedCs.build(), anotherJobCs.build()));
// Now it should run as the job state chanded to OPENED
verify(threadPool, times(1)).executor(MachineLearning.DATAFEED_THREAD_POOL_NAME);
}
public void testDatafeedTaskStopsBecauseJobFailedWhileOpening() {
PersistentTasksCustomMetaData.Builder tasksBuilder = PersistentTasksCustomMetaData.builder();
addJobTask("job_id", "node_id", JobState.OPENING, tasksBuilder);
ClusterState.Builder cs = ClusterState.builder(clusterService.state())
.metaData(new MetaData.Builder().putCustom(PersistentTasksCustomMetaData.TYPE, tasksBuilder.build()));
when(clusterService.state()).thenReturn(cs.build());
Consumer<Exception> handler = mockConsumer();
DatafeedTask task = createDatafeedTask("datafeed_id", 0L, 60000L);
datafeedManager.run(task, handler);
// Verify datafeed has not started running yet as job is still opening
verify(threadPool, never()).executor(MachineLearning.DATAFEED_THREAD_POOL_NAME);
tasksBuilder = PersistentTasksCustomMetaData.builder();
addJobTask("job_id", "node_id", JobState.FAILED, tasksBuilder);
ClusterState.Builder updatedCs = ClusterState.builder(clusterService.state())
.metaData(new MetaData.Builder().putCustom(PersistentTasksCustomMetaData.TYPE, tasksBuilder.build()));
capturedClusterStateListener.getValue().clusterChanged(new ClusterChangedEvent("_source", updatedCs.build(), cs.build()));
// Verify task never run and got stopped
verify(threadPool, never()).executor(MachineLearning.DATAFEED_THREAD_POOL_NAME);
verify(task).stop("job_never_opened", TimeValue.timeValueSeconds(20));
}
public void testDatafeedGetsStoppedWhileWaitingForJobToOpen() {
PersistentTasksCustomMetaData.Builder tasksBuilder = PersistentTasksCustomMetaData.builder();
addJobTask("job_id", "node_id", JobState.OPENING, tasksBuilder);
ClusterState.Builder cs = ClusterState.builder(clusterService.state())
.metaData(new MetaData.Builder().putCustom(PersistentTasksCustomMetaData.TYPE, tasksBuilder.build()));
when(clusterService.state()).thenReturn(cs.build());
Consumer<Exception> handler = mockConsumer();
DatafeedTask task = createDatafeedTask("datafeed_id", 0L, 60000L);
datafeedManager.run(task, handler);
// Verify datafeed has not started running yet as job is still opening
verify(threadPool, never()).executor(MachineLearning.DATAFEED_THREAD_POOL_NAME);
// Stop the datafeed
datafeedManager.stopDatafeed(task, "test", StopDatafeedAction.DEFAULT_TIMEOUT);
// Update job state to opened
tasksBuilder = PersistentTasksCustomMetaData.builder();
addJobTask("job_id", "node_id", JobState.OPENED, tasksBuilder);
ClusterState.Builder updatedCs = ClusterState.builder(clusterService.state())
.metaData(new MetaData.Builder().putCustom(PersistentTasksCustomMetaData.TYPE, tasksBuilder.build()));
capturedClusterStateListener.getValue().clusterChanged(new ClusterChangedEvent("_source", cs.build(), updatedCs.build()));
// Verify no datafeed was run
verify(threadPool, never()).executor(MachineLearning.DATAFEED_THREAD_POOL_NAME);
}
public static DatafeedConfig.Builder createDatafeedConfig(String datafeedId, String jobId) {
DatafeedConfig.Builder datafeedConfig = new DatafeedConfig.Builder(datafeedId, jobId);
datafeedConfig.setIndices(Collections.singletonList("myIndex"));
return datafeedConfig;
}
public static Job.Builder createDatafeedJob() {
AnalysisConfig.Builder acBuilder = new AnalysisConfig.Builder(Collections.singletonList(
new Detector.Builder("metric", "field").build()));
acBuilder.setBucketSpan(TimeValue.timeValueHours(1));
acBuilder.setDetectors(Collections.singletonList(new Detector.Builder("metric", "field").build()));
Job.Builder builder = new Job.Builder("job_id");
builder.setAnalysisConfig(acBuilder);
builder.setDataDescription(new DataDescription.Builder());
return builder;
}
private static DatafeedTask createDatafeedTask(String datafeedId, long startTime, Long endTime) {
DatafeedTask task = mock(DatafeedTask.class);
when(task.getDatafeedId()).thenReturn(datafeedId);
when(task.getDatafeedStartTime()).thenReturn(startTime);
when(task.getEndTime()).thenReturn(endTime);
doAnswer(invocationOnMock -> {
@SuppressWarnings("rawtypes")
ActionListener listener = (ActionListener) invocationOnMock.getArguments()[1];
listener.onResponse(mock(PersistentTask.class));
return null;
}).when(task).updatePersistentTaskState(any(), any());
return task;
}
@SuppressWarnings("unchecked")
private Consumer<Exception> mockConsumer() {
return mock(Consumer.class);
}
private DatafeedTask spyDatafeedTask(DatafeedTask task) {
task = spy(task);
doAnswer(invocationOnMock -> {
@SuppressWarnings("rawtypes")
ActionListener listener = (ActionListener) invocationOnMock.getArguments()[1];
listener.onResponse(mock(PersistentTask.class));
return null;
}).when(task).updatePersistentTaskState(any(), any());
return task;
}
}