jihaozh closed pull request #3480: [TE] migrate minute-level and hourly
properties
URL: https://github.com/apache/incubator-pinot/pull/3480
This is a PR merged from a forked repository.
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diff --git
a/thirdeye/thirdeye-pinot/src/main/java/com/linkedin/thirdeye/anomaly/onboard/tasks/FunctionCreationOnboardingTask.java
b/thirdeye/thirdeye-pinot/src/main/java/com/linkedin/thirdeye/anomaly/onboard/tasks/FunctionCreationOnboardingTask.java
index 548e579ae9..f06814bd76 100644
---
a/thirdeye/thirdeye-pinot/src/main/java/com/linkedin/thirdeye/anomaly/onboard/tasks/FunctionCreationOnboardingTask.java
+++
b/thirdeye/thirdeye-pinot/src/main/java/com/linkedin/thirdeye/anomaly/onboard/tasks/FunctionCreationOnboardingTask.java
@@ -324,20 +324,20 @@ protected AnomalyFunctionDTO
getDefaultFunctionSpecByTimeGranularity(TimeGranula
AnomalyFunctionDTO anomalyFunctionSpec = new AnomalyFunctionDTO();
switch (timeGranularity.getUnit()) {
case MINUTES:
- anomalyFunctionSpec.setType("CONFIDENCE_INTERVAL_SIGN_TEST");
+ anomalyFunctionSpec.setType("SIGN_TEST_WRAPPER");
anomalyFunctionSpec.setCron("0 0/15 * * * ? *");
anomalyFunctionSpec.setWindowSize(6);
anomalyFunctionSpec.setWindowUnit(TimeUnit.HOURS);
anomalyFunctionSpec.setFrequency(new TimeGranularity(15,
TimeUnit.MINUTES));
- anomalyFunctionSpec.setProperties("signTestWindowSize=24");
+
anomalyFunctionSpec.setProperties("variables.seasonalPeriod=P7D;module.training=nonparametric.SeasonalSlidingWindowTrainingModule;variables.slidingWindowWidth=8;variables.pattern=UP,DOWN;variables.anomalyRemovalThreshold=0.6,-0.6;module.data=SeasonalDataModule;variables.signTestStepSize=1;variables.pValueThreshold=0.05;function=ConfigurableAnomalyDetectionFunction;module.testingPreprocessors=DummyPreprocessModule;variables.seasonalCount=3;variables.signTestWindowSize=24;module.detection=SignTestDetectionModule;variables.decayRate=0.5;variables.confidenceLevel=0.99;module.trainingPreprocessors=AnomalyRemovalByWeight;variables.trainPadding=PT20M,PT25M");
anomalyFunctionSpec.setRequiresCompletenessCheck(false);
break;
case HOURS:
- anomalyFunctionSpec.setType("REGRESSION_GAUSSIAN_SCAN");
+ anomalyFunctionSpec.setType("REGRESSION_GAUSSIAN_SCAN_WRAPPER");
anomalyFunctionSpec.setCron("0 0 * * * ? *");
anomalyFunctionSpec.setWindowSize(24);
anomalyFunctionSpec.setWindowUnit(TimeUnit.HOURS);
- anomalyFunctionSpec.setProperties("");
+
anomalyFunctionSpec.setProperties("variables.isMajor=false;downgrade.variables.seasonalities=;function=SelfRecoverableAnomalyDetectionFunction;variables.pValueThreshold=0.01;variables.continuumOffset=P60D;module.detection=GaussianScanDetectionModule;variables.anomalyRemovalThreshold=1.0,-1.0;workflow=RegressionWorkflow;module.training=parametric.NullBasisRegressionTrainingModule;variables.seasonalities=HOURLY_SEASONALITY,DAILY_SEASONALITY;module.data=ContinuumDataModule;variables.scanNumSimulations=500;variables.scanTargetNumAnomalies=1;module.trainingPreprocessors=AnomalyRemovalByWeight;variables.scanMaxWindowSize=48;variables.scanMinWindowSize=1;variables.scanStepSize=1;module.testingPreprocessors=DummyPreprocessModule;variables.scanUseBootStrap=true");
anomalyFunctionSpec.setRequiresCompletenessCheck(false);
break;
case DAYS:
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