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Refinement of Forecasting and AD Precision/Recall Improvements
This PR addresses several improvements related to forecasting and anomaly detection (AD) precision/recall. It introduces changes to accommodate forecasting functionality, which is currently disabled as it's not yet released. Additionally, it reverts name changes introduced in a previous PR opensearch-project#1173 due to the unreleased status of forecasting. Changes Made: * Integration of forecasting-related improvements. * Reversion of name changes for compatibility reasons. * Introduce rule based AD. Testing Done: * Verified frontend workflow remains functional: creation, previewing, historical, and real-time detection. * All existing unit and integration tests pass successfully. * Added a new integration test (RuleModelPerfIT) to validate rule-based AD improvements in precision/recall. Next Steps: * Add new AD tests before the 2.15 release to meet coverage requirements. * Conduct backward compatibility tests to ensure compatibility with existing functionality. The merge was attempted earlier to prevent blocking other teammates from submitting their changes. Signed-off-by: Kaituo Li <[email protected]>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,5 +1,7 @@ | ||
| # indirect dependency of opensearch_py. Lower than 2.30 can cause CVE-2024-35195. | ||
| requests>=2.32.0 | ||
| numpy==1.23.0 | ||
| opensearch_py==2.0.0 | ||
| retry==0.9.2 | ||
| scipy==1.10.0 | ||
| urllib3==1.26.18 | ||
| urllib3==1.26.18 |
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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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| @@ -0,0 +1,98 @@ | ||
| /* | ||
| * 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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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,85 @@ | ||
| /* | ||
| * 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.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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