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Signed-off-by: Kaituo Li <[email protected]>
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src/main/java/org/opensearch/ad/ADEntityProfileRunner.java
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/* | ||
* SPDX-License-Identifier: Apache-2.0 | ||
* | ||
* The OpenSearch Contributors require contributions made to | ||
* this file be licensed under the Apache-2.0 license or a | ||
* compatible open source license. | ||
* | ||
* Modifications Copyright OpenSearch Contributors. See | ||
* GitHub history for details. | ||
*/ | ||
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package org.opensearch.ad; | ||
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import org.opensearch.ad.constant.ADCommonName; | ||
import org.opensearch.ad.model.AnomalyDetector; | ||
import org.opensearch.ad.model.AnomalyResult; | ||
import org.opensearch.ad.settings.ADNumericSetting; | ||
import org.opensearch.ad.transport.ADEntityProfileAction; | ||
import org.opensearch.client.Client; | ||
import org.opensearch.core.xcontent.NamedXContentRegistry; | ||
import org.opensearch.timeseries.AnalysisType; | ||
import org.opensearch.timeseries.EntityProfileRunner; | ||
import org.opensearch.timeseries.util.SecurityClientUtil; | ||
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public class ADEntityProfileRunner extends EntityProfileRunner<ADEntityProfileAction> { | ||
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public ADEntityProfileRunner( | ||
Client client, | ||
SecurityClientUtil clientUtil, | ||
NamedXContentRegistry xContentRegistry, | ||
long requiredSamples | ||
) { | ||
super( | ||
client, | ||
clientUtil, | ||
xContentRegistry, | ||
requiredSamples, | ||
AnomalyDetector::parse, | ||
ADNumericSetting.maxCategoricalFields(), | ||
AnalysisType.AD, | ||
ADEntityProfileAction.INSTANCE, | ||
ADCommonName.ANOMALY_RESULT_INDEX_ALIAS, | ||
AnomalyResult.DETECTOR_ID_FIELD | ||
); | ||
} | ||
} |
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/* | ||
* Copyright OpenSearch Contributors | ||
* SPDX-License-Identifier: Apache-2.0 | ||
*/ | ||
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package org.opensearch.ad; | ||
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import java.time.Instant; | ||
import java.util.List; | ||
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import org.apache.logging.log4j.LogManager; | ||
import org.apache.logging.log4j.Logger; | ||
import org.opensearch.ad.indices.ADIndex; | ||
import org.opensearch.ad.indices.ADIndexManagement; | ||
import org.opensearch.ad.model.ADTask; | ||
import org.opensearch.ad.model.ADTaskType; | ||
import org.opensearch.ad.model.AnomalyResult; | ||
import org.opensearch.ad.rest.handler.ADIndexJobActionHandler; | ||
import org.opensearch.ad.settings.AnomalyDetectorSettings; | ||
import org.opensearch.ad.task.ADTaskCacheManager; | ||
import org.opensearch.ad.task.ADTaskManager; | ||
import org.opensearch.ad.transport.ADProfileAction; | ||
import org.opensearch.ad.transport.AnomalyResultAction; | ||
import org.opensearch.ad.transport.AnomalyResultRequest; | ||
import org.opensearch.common.settings.Settings; | ||
import org.opensearch.core.action.ActionListener; | ||
import org.opensearch.jobscheduler.spi.LockModel; | ||
import org.opensearch.jobscheduler.spi.utils.LockService; | ||
import org.opensearch.timeseries.AnalysisType; | ||
import org.opensearch.timeseries.JobProcessor; | ||
import org.opensearch.timeseries.TimeSeriesAnalyticsPlugin; | ||
import org.opensearch.timeseries.common.exception.EndRunException; | ||
import org.opensearch.timeseries.model.Config; | ||
import org.opensearch.timeseries.model.Job; | ||
import org.opensearch.timeseries.transport.ResultRequest; | ||
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public class ADJobProcessor extends | ||
JobProcessor<ADIndex, ADIndexManagement, ADTaskCacheManager, ADTaskType, ADTask, ADTaskManager, AnomalyResult, ADProfileAction, ExecuteADResultResponseRecorder, ADIndexJobActionHandler> { | ||
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private static final Logger log = LogManager.getLogger(ADJobProcessor.class); | ||
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private static ADJobProcessor INSTANCE; | ||
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public static ADJobProcessor getInstance() { | ||
if (INSTANCE != null) { | ||
return INSTANCE; | ||
} | ||
synchronized (ADJobProcessor.class) { | ||
if (INSTANCE != null) { | ||
return INSTANCE; | ||
} | ||
INSTANCE = new ADJobProcessor(); | ||
return INSTANCE; | ||
} | ||
} | ||
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private ADJobProcessor() { | ||
// Singleton class, use getJobRunnerInstance method instead of constructor | ||
super(AnalysisType.AD, TimeSeriesAnalyticsPlugin.AD_THREAD_POOL_NAME, AnomalyResultAction.INSTANCE); | ||
} | ||
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public void registerSettings(Settings settings) { | ||
super.registerSettings(settings, AnomalyDetectorSettings.AD_MAX_RETRY_FOR_END_RUN_EXCEPTION); | ||
} | ||
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@Override | ||
protected ResultRequest createResultRequest(String configId, long start, long end) { | ||
return new AnomalyResultRequest(configId, start, end); | ||
} | ||
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@Override | ||
protected void validateResultIndexAndRunJob(Job jobParameter, LockService lockService, | ||
LockModel lock, | ||
Instant executionStartTime, | ||
Instant executionEndTime, | ||
String configId, | ||
String user, | ||
List<String> roles, | ||
ExecuteADResultResponseRecorder recorder, | ||
Config detector) { | ||
String resultIndex = jobParameter.getCustomResultIndex(); | ||
if (resultIndex == null) { | ||
runJob(jobParameter, lockService, lock, executionStartTime, executionEndTime, configId, user, roles, recorder, detector); | ||
return; | ||
} | ||
ActionListener<Boolean> listener = ActionListener.wrap(r -> { log.debug("Custom index is valid"); }, e -> { | ||
Exception exception = new EndRunException(configId, e.getMessage(), false); | ||
handleException(jobParameter, lockService, lock, executionStartTime, executionEndTime, exception, recorder, detector); | ||
}); | ||
indexManagement.validateCustomIndexForBackendJob(resultIndex, configId, user, roles, () -> { | ||
listener.onResponse(true); | ||
runJob(jobParameter, lockService, lock, executionStartTime, executionEndTime, configId, user, roles, recorder, detector); | ||
}, listener); | ||
} | ||
} |
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/* | ||
* Copyright OpenSearch Contributors | ||
* SPDX-License-Identifier: Apache-2.0 | ||
*/ | ||
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package org.opensearch.ad; | ||
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import java.util.ArrayList; | ||
import java.util.List; | ||
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import org.apache.logging.log4j.LogManager; | ||
import org.apache.logging.log4j.Logger; | ||
import org.opensearch.ad.model.ADTask; | ||
import org.opensearch.ad.model.ADTaskProfile; | ||
import org.opensearch.ad.transport.ADTaskProfileAction; | ||
import org.opensearch.ad.transport.ADTaskProfileNodeResponse; | ||
import org.opensearch.ad.transport.ADTaskProfileRequest; | ||
import org.opensearch.client.Client; | ||
import org.opensearch.core.action.ActionListener; | ||
import org.opensearch.timeseries.TaskProfileRunner; | ||
import org.opensearch.timeseries.cluster.HashRing; | ||
import org.opensearch.timeseries.model.EntityTaskProfile; | ||
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public class ADTaskProfileRunner implements TaskProfileRunner<ADTask, ADTaskProfile> { | ||
public final Logger logger = LogManager.getLogger(ADTaskProfileRunner.class); | ||
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private final HashRing hashRing; | ||
private final Client client; | ||
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public ADTaskProfileRunner(HashRing hashRing, Client client) { | ||
this.hashRing = hashRing; | ||
this.client = client; | ||
} | ||
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@Override | ||
public void getTaskProfile(ADTask configLevelTask, ActionListener<ADTaskProfile> listener) { | ||
String detectorId = configLevelTask.getConfigId(); | ||
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hashRing.getAllEligibleDataNodesWithKnownVersion(dataNodes -> { | ||
ADTaskProfileRequest adTaskProfileRequest = new ADTaskProfileRequest(detectorId, dataNodes); | ||
client.execute(ADTaskProfileAction.INSTANCE, adTaskProfileRequest, ActionListener.wrap(response -> { | ||
if (response.hasFailures()) { | ||
listener.onFailure(response.failures().get(0)); | ||
return; | ||
} | ||
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List<EntityTaskProfile> adEntityTaskProfiles = new ArrayList<>(); | ||
ADTaskProfile detectorTaskProfile = new ADTaskProfile(configLevelTask); | ||
for (ADTaskProfileNodeResponse node : response.getNodes()) { | ||
ADTaskProfile taskProfile = node.getAdTaskProfile(); | ||
if (taskProfile != null) { | ||
if (taskProfile.getNodeId() != null) { | ||
// HC detector: task profile from coordinating node | ||
// Single entity detector: task profile from worker node | ||
detectorTaskProfile.setTaskId(taskProfile.getTaskId()); | ||
detectorTaskProfile.setShingleSize(taskProfile.getShingleSize()); | ||
detectorTaskProfile.setRcfTotalUpdates(taskProfile.getRcfTotalUpdates()); | ||
detectorTaskProfile.setThresholdModelTrained(taskProfile.getThresholdModelTrained()); | ||
detectorTaskProfile.setThresholdModelTrainingDataSize(taskProfile.getThresholdModelTrainingDataSize()); | ||
detectorTaskProfile.setModelSizeInBytes(taskProfile.getModelSizeInBytes()); | ||
detectorTaskProfile.setNodeId(taskProfile.getNodeId()); | ||
detectorTaskProfile.setTotalEntitiesCount(taskProfile.getTotalEntitiesCount()); | ||
detectorTaskProfile.setDetectorTaskSlots(taskProfile.getDetectorTaskSlots()); | ||
detectorTaskProfile.setPendingEntitiesCount(taskProfile.getPendingEntitiesCount()); | ||
detectorTaskProfile.setRunningEntitiesCount(taskProfile.getRunningEntitiesCount()); | ||
detectorTaskProfile.setRunningEntities(taskProfile.getRunningEntities()); | ||
detectorTaskProfile.setTaskType(taskProfile.getTaskType()); | ||
} | ||
if (taskProfile.getEntityTaskProfiles() != null) { | ||
adEntityTaskProfiles.addAll(taskProfile.getEntityTaskProfiles()); | ||
} | ||
} | ||
} | ||
if (adEntityTaskProfiles != null && adEntityTaskProfiles.size() > 0) { | ||
detectorTaskProfile.setEntityTaskProfiles(adEntityTaskProfiles); | ||
} | ||
listener.onResponse(detectorTaskProfile); | ||
}, e -> { | ||
logger.error("Failed to get task profile for task " + configLevelTask.getTaskId(), e); | ||
listener.onFailure(e); | ||
})); | ||
}, listener); | ||
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} | ||
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} |
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