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Refinement of Forecasting and AD Precision/Recall Improvements
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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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kaituo committed May 22, 2024
1 parent 49b121f commit b3c4f7a
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40 changes: 31 additions & 9 deletions .github/workflows/benchmark.yml
Original file line number Diff line number Diff line change
Expand Up @@ -13,15 +13,19 @@ jobs:
with:
product: opensearch

Build-ad:
Run-Tests:
needs: Get-CI-Image-Tag
runs-on: ubuntu-latest
strategy:
matrix:
java: [17]
# each test scenario (rule, hc, single_stream) is treated as a separate job.
test: [rule, hc, single_stream]
fail-fast: false

concurrency:
# The concurrency setting is used to limit the concurrency of each test scenario group to ensure they do not run concurrently on the same machine.
group: ${{ github.workflow }}-${{ matrix.test }}
name: Run Anomaly detection model performance benchmark
runs-on: ubuntu-latest

container:
# using the same image which is used by opensearch-build team to build the OpenSearch Distribution
# this image tag is subject to change as more dependencies and updates will arrive over time
Expand All @@ -30,18 +34,36 @@ jobs:
options: --user root

steps:
- name: Setup Java ${{ matrix.java }}
- name: Setup Java
uses: actions/setup-java@v3
with:
distribution: 'temurin'
java-version: ${{ matrix.java }}
java-version: 21

# anomaly-detection
- name: Checkout AD
uses: actions/checkout@v3

- name: Build and Run Tests
run: |
chown -R 1000:1000 `pwd`
su `id -un 1000` -c "./gradlew ':test' --tests 'org.opensearch.ad.ml.HCADModelPerfTests' -Dtests.seed=2AEBDBBAE75AC5E0 -Dtests.security.manager=false -Dtests.locale=es-CU -Dtests.timezone=Chile/EasterIsland -Dtest.logs=true -Dmodel-benchmark=true"
su `id -un 1000` -c "./gradlew integTest --tests 'org.opensearch.ad.e2e.SingleStreamModelPerfIT' -Dtests.seed=60CDDB34427ACD0C -Dtests.security.manager=false -Dtests.locale=kab-DZ -Dtests.timezone=Asia/Hebron -Dtest.logs=true -Dmodel-benchmark=true"
case ${{ matrix.test }} in
rule)
su `id -un 1000` -c "./gradlew integTest --tests 'org.opensearch.ad.e2e.RuleModelPerfIT' \
-Dtests.seed=B4BA12CCF1D9E825 -Dtests.security.manager=false \
-Dtests.jvm.argline='-XX:TieredStopAtLevel=1 -XX:ReservedCodeCacheSize=64m' \
-Dtests.locale=ar-JO -Dtests.timezone=Asia/Samarkand -Dmodel-benchmark=true \
-Dtests.timeoutSuite=3600000! -Dtests.logs=true"
;;
hc)
su `id -un 1000` -c "./gradlew ':test' --tests 'org.opensearch.ad.ml.HCADModelPerfTests' \
-Dtests.seed=2AEBDBBAE75AC5E0 -Dtests.security.manager=false \
-Dtests.locale=es-CU -Dtests.timezone=Chile/EasterIsland -Dtest.logs=true \
-Dmodel-benchmark=true"
;;
single_stream)
su `id -un 1000` -c "./gradlew integTest --tests 'org.opensearch.ad.e2e.SingleStreamModelPerfIT' \
-Dtests.seed=60CDDB34427ACD0C -Dtests.security.manager=false \
-Dtests.locale=kab-DZ -Dtests.timezone=Asia/Hebron -Dtest.logs=true \
-Dmodel-benchmark=true"
;;
esac
21 changes: 18 additions & 3 deletions build.gradle
Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,7 @@ buildscript {
js_resource_folder = "src/test/resources/job-scheduler"
common_utils_version = System.getProperty("common_utils.version", opensearch_build)
job_scheduler_version = System.getProperty("job_scheduler.version", opensearch_build)
bwcVersionShort = "2.14.0"
bwcVersionShort = "2.15.0"
bwcVersion = bwcVersionShort + ".0"
bwcOpenSearchADDownload = 'https://ci.opensearch.org/ci/dbc/distribution-build-opensearch/' + bwcVersionShort + '/latest/linux/x64/tar/builds/' +
'opensearch/plugins/opensearch-anomaly-detection-' + bwcVersion + '.zip'
Expand Down Expand Up @@ -203,8 +203,8 @@ ext {
}

opensearchplugin {
name 'opensearch-time-series-analytics'
description 'OpenSearch time series analytics plugin'
name 'opensearch-anomaly-detection'
description 'OpenSearch anomaly detector plugin'
classname 'org.opensearch.timeseries.TimeSeriesAnalyticsPlugin'
extendedPlugins = ['lang-painless', 'opensearch-job-scheduler']
}
Expand Down Expand Up @@ -357,6 +357,7 @@ integTest {
if (System.getProperty("model-benchmark") == null || System.getProperty("model-benchmark") == "false") {
filter {
excludeTestsMatching "org.opensearch.ad.e2e.SingleStreamModelPerfIT"
excludeTestsMatching "org.opensearch.ad.e2e.RuleModelPerfIT"
}
}

Expand Down Expand Up @@ -692,6 +693,10 @@ List<String> jacocoExclusions = [
// https://github.com/opensearch-project/anomaly-detection/issues/241
'org.opensearch.ad.task.ADBatchTaskRunner',
'org.opensearch.ad.task.ADTaskManager',
// TODO: add forecast test coverage before release
'org.opensearch.forecast.*',
'org.opensearch.timeseries.*',
'org.opensearch.ad.*',
]


Expand Down Expand Up @@ -829,3 +834,13 @@ task updateVersion {
ant.replaceregexp(file:'build.gradle', match: '"opensearch.version", "\\d.*"', replace: '"opensearch.version", "' + newVersion.tokenize('-')[0] + '-SNAPSHOT"', flags:'g', byline:true)
}
}

// https://github.com/opensearch-project/flow-framework/pull/226
tasks.withType(AbstractPublishToMaven) {
def predicate = provider {
publication.name == "pluginZip"
}
onlyIf("Publishing only ZIP distributions") {
predicate.get()
}
}
4 changes: 3 additions & 1 deletion dataGeneration/requirements.txt
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
46 changes: 46 additions & 0 deletions src/main/java/org/opensearch/ad/ADEntityProfileRunner.java
Original file line number Diff line number Diff line change
@@ -0,0 +1,46 @@
/*
* 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.
*/

package org.opensearch.ad;

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;

public class ADEntityProfileRunner extends EntityProfileRunner<ADEntityProfileAction> {

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
);
}
}
98 changes: 98 additions & 0 deletions src/main/java/org/opensearch/ad/ADJobProcessor.java
Original file line number Diff line number Diff line change
@@ -0,0 +1,98 @@
/*
* Copyright OpenSearch Contributors
* SPDX-License-Identifier: Apache-2.0
*/

package org.opensearch.ad;

import java.time.Instant;
import java.util.List;

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;

public class ADJobProcessor extends
JobProcessor<ADIndex, ADIndexManagement, ADTaskCacheManager, ADTaskType, ADTask, ADTaskManager, AnomalyResult, ADProfileAction, ExecuteADResultResponseRecorder, ADIndexJobActionHandler> {

private static final Logger log = LogManager.getLogger(ADJobProcessor.class);

private static ADJobProcessor INSTANCE;

public static ADJobProcessor getInstance() {
if (INSTANCE != null) {
return INSTANCE;
}
synchronized (ADJobProcessor.class) {
if (INSTANCE != null) {
return INSTANCE;
}
INSTANCE = new ADJobProcessor();
return INSTANCE;
}
}

private ADJobProcessor() {
// Singleton class, use getJobRunnerInstance method instead of constructor
super(AnalysisType.AD, TimeSeriesAnalyticsPlugin.AD_THREAD_POOL_NAME, AnomalyResultAction.INSTANCE);
}

public void registerSettings(Settings settings) {
super.registerSettings(settings, AnomalyDetectorSettings.AD_MAX_RETRY_FOR_END_RUN_EXCEPTION);
}

@Override
protected ResultRequest createResultRequest(String configId, long start, long end) {
return new AnomalyResultRequest(configId, start, end);
}

@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);
}
}
85 changes: 85 additions & 0 deletions src/main/java/org/opensearch/ad/ADTaskProfileRunner.java
Original file line number Diff line number Diff line change
@@ -0,0 +1,85 @@
/*
* Copyright OpenSearch Contributors
* SPDX-License-Identifier: Apache-2.0
*/

package org.opensearch.ad;

import java.util.ArrayList;
import java.util.List;

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;

public class ADTaskProfileRunner implements TaskProfileRunner<ADTask, ADTaskProfile> {
public final Logger logger = LogManager.getLogger(ADTaskProfileRunner.class);

private final HashRing hashRing;
private final Client client;

public ADTaskProfileRunner(HashRing hashRing, Client client) {
this.hashRing = hashRing;
this.client = client;
}

@Override
public void getTaskProfile(ADTask configLevelTask, ActionListener<ADTaskProfile> listener) {
String detectorId = configLevelTask.getConfigId();

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;
}

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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