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Example 26 with RawAnomalyResultDTO

use of com.linkedin.thirdeye.datalayer.dto.RawAnomalyResultDTO in project pinot by linkedin.

the class AnomalyApplicationEndToEndTest method testThirdeyeAnomalyApplication.

@Test(enabled = true)
public void testThirdeyeAnomalyApplication() throws Exception {
    Assert.assertNotNull(daoRegistry.getJobDAO());
    // setup caches and config
    setup();
    Assert.assertNotNull(daoRegistry.getJobDAO());
    // startDataCompletenessChecker
    startDataCompletenessScheduler();
    Thread.sleep(10000);
    int jobSizeDataCompleteness = jobDAO.findAll().size();
    int taskSizeDataCompleteness = taskDAO.findAll().size();
    Assert.assertTrue(jobSizeDataCompleteness == 1);
    Assert.assertTrue(taskSizeDataCompleteness == 2);
    JobDTO jobDTO = jobDAO.findAll().get(0);
    Assert.assertTrue(jobDTO.getJobName().startsWith(TaskType.DATA_COMPLETENESS.toString()));
    List<TaskDTO> taskDTOs = taskDAO.findAll();
    for (TaskDTO taskDTO : taskDTOs) {
        Assert.assertEquals(taskDTO.getTaskType(), TaskType.DATA_COMPLETENESS);
        Assert.assertEquals(taskDTO.getStatus(), TaskStatus.WAITING);
        DataCompletenessTaskInfo taskInfo = (DataCompletenessTaskInfo) TaskInfoFactory.getTaskInfoFromTaskType(taskDTO.getTaskType(), taskDTO.getTaskInfo());
        Assert.assertTrue((taskInfo.getDataCompletenessType() == DataCompletenessType.CHECKER) || (taskInfo.getDataCompletenessType() == DataCompletenessType.CLEANUP));
    }
    // start detection scheduler
    startDetectionScheduler();
    // start alert scheduler
    startAlertScheduler();
    // check for number of entries in tasks and jobs
    Thread.sleep(10000);
    int jobSize1 = jobDAO.findAll().size();
    int taskSize1 = taskDAO.findAll().size();
    Assert.assertTrue(jobSize1 > 0);
    Assert.assertTrue(taskSize1 > 0);
    Thread.sleep(10000);
    int jobSize2 = jobDAO.findAll().size();
    int taskSize2 = taskDAO.findAll().size();
    Assert.assertTrue(jobSize2 > jobSize1);
    Assert.assertTrue(taskSize2 > taskSize1);
    tasks = taskDAO.findAll();
    // check for task type
    int detectionCount = 0;
    int alertCount = 0;
    for (TaskDTO task : tasks) {
        if (task.getTaskType().equals(TaskType.ANOMALY_DETECTION)) {
            detectionCount++;
        } else if (task.getTaskType().equals(TaskType.ALERT)) {
            alertCount++;
        }
    }
    Assert.assertTrue(detectionCount > 0);
    Assert.assertTrue(alertCount > 0);
    // check for task status
    tasks = taskDAO.findAll();
    for (TaskDTO task : tasks) {
        Assert.assertEquals(task.getStatus(), TaskStatus.WAITING);
    }
    // start monitor
    startMonitor();
    // check for monitor tasks
    Thread.sleep(5000);
    tasks = taskDAO.findAll();
    int monitorCount = 0;
    for (TaskDTO task : tasks) {
        if (task.getTaskType().equals(TaskType.MONITOR)) {
            monitorCount++;
        }
    }
    Assert.assertEquals(monitorCount, 2);
    // check for job status
    jobs = jobDAO.findAll();
    for (JobDTO job : jobs) {
        Assert.assertEquals(job.getStatus(), JobStatus.SCHEDULED);
    }
    // start task drivers
    startWorker();
    // check for change in task status to COMPLETED
    Thread.sleep(30000);
    tasks = taskDAO.findAll();
    int completedCount = 0;
    for (TaskDTO task : tasks) {
        if (task.getStatus().equals(TaskStatus.COMPLETED)) {
            completedCount++;
        }
    }
    Assert.assertTrue(completedCount > 0);
    // Raw anomalies of the same function and dimensions should have been merged by the worker, so we
    // check if any raw anomalies present, whose existence means the worker fails the synchronous merge.
    List<RawAnomalyResultDTO> rawAnomalies = rawAnomalyResultDAO.findUnmergedByFunctionId(functionId);
    Assert.assertTrue(rawAnomalies.size() == 0);
    // check merged anomalies
    List<MergedAnomalyResultDTO> mergedAnomalies = mergedAnomalyResultDAO.findByFunctionId(functionId);
    Assert.assertTrue(mergedAnomalies.size() > 0);
    // THE FOLLOWING TEST FAILS OCCASIONALLY DUE TO MACHINE COMPUTATION POWER
    // TODO: Move test away from Thread.sleep
    // check for job status COMPLETED
    //    jobs = jobDAO.findAll();
    //    int completedJobCount = 0;
    //    for (JobDTO job : jobs) {
    //      int attempt = 0;
    //      while (attempt < 3 && !job.getStatus().equals(JobStatus.COMPLETED)) {
    //        LOG.info("Checking job status with attempt : {}", attempt + 1);
    //        Thread.sleep(5_000);
    //        attempt++;
    //      }
    //      if (job.getStatus().equals(JobStatus.COMPLETED)) {
    //        completedJobCount ++;
    //      }
    //    }
    //    Assert.assertTrue(completedJobCount > 0);
    // stop schedulers
    cleanup();
}
Also used : JobDTO(com.linkedin.thirdeye.datalayer.dto.JobDTO) RawAnomalyResultDTO(com.linkedin.thirdeye.datalayer.dto.RawAnomalyResultDTO) MergedAnomalyResultDTO(com.linkedin.thirdeye.datalayer.dto.MergedAnomalyResultDTO) DataCompletenessTaskInfo(com.linkedin.thirdeye.completeness.checker.DataCompletenessTaskInfo) TaskDTO(com.linkedin.thirdeye.datalayer.dto.TaskDTO) Test(org.testng.annotations.Test)

Example 27 with RawAnomalyResultDTO

use of com.linkedin.thirdeye.datalayer.dto.RawAnomalyResultDTO in project pinot by linkedin.

the class AbstractManagerTestBase method getAnomalyResult.

protected RawAnomalyResultDTO getAnomalyResult() {
    RawAnomalyResultDTO anomalyResult = new RawAnomalyResultDTO();
    anomalyResult.setScore(1.1);
    anomalyResult.setStartTime(System.currentTimeMillis());
    anomalyResult.setEndTime(System.currentTimeMillis());
    anomalyResult.setWeight(10.1);
    DimensionMap dimensionMap = new DimensionMap();
    dimensionMap.put("dimensionName", "dimensionValue");
    anomalyResult.setDimensions(dimensionMap);
    anomalyResult.setCreationTimeUtc(System.currentTimeMillis());
    return anomalyResult;
}
Also used : RawAnomalyResultDTO(com.linkedin.thirdeye.datalayer.dto.RawAnomalyResultDTO) DimensionMap(com.linkedin.thirdeye.api.DimensionMap)

Example 28 with RawAnomalyResultDTO

use of com.linkedin.thirdeye.datalayer.dto.RawAnomalyResultDTO in project pinot by linkedin.

the class TestMergedAnomalyResultManager method testMergedResultCRUD.

@Test
public void testMergedResultCRUD() {
    anomalyFunctionDAO.save(function);
    Assert.assertNotNull(function.getId());
    // create anomaly result
    RawAnomalyResultDTO result = getAnomalyResult();
    result.setFunction(function);
    rawAnomalyResultDAO.save(result);
    RawAnomalyResultDTO resultRet = rawAnomalyResultDAO.findById(result.getId());
    Assert.assertEquals(resultRet.getFunction(), function);
    anomalyResultId = result.getId();
    // Let's create merged result
    List<RawAnomalyResultDTO> rawResults = new ArrayList<>();
    rawResults.add(result);
    AnomalyMergeConfig mergeConfig = new AnomalyMergeConfig();
    List<MergedAnomalyResultDTO> mergedResults = AnomalyTimeBasedSummarizer.mergeAnomalies(rawResults, mergeConfig.getMaxMergeDurationLength(), mergeConfig.getSequentialAllowedGap());
    Assert.assertEquals(mergedResults.get(0).getStartTime(), result.getStartTime());
    Assert.assertEquals(mergedResults.get(0).getEndTime(), result.getEndTime());
    Assert.assertEquals(mergedResults.get(0).getAnomalyResults().get(0), result);
    // Let's persist the merged result
    mergedResults.get(0).setDimensions(result.getDimensions());
    mergedAnomalyResultDAO.save(mergedResults.get(0));
    mergedResult = mergedResults.get(0);
    Assert.assertNotNull(mergedResult.getId());
    // verify the merged result
    MergedAnomalyResultDTO mergedResultById = mergedAnomalyResultDAO.findById(mergedResult.getId());
    Assert.assertEquals(mergedResultById.getAnomalyResults(), rawResults);
    Assert.assertEquals(mergedResultById.getAnomalyResults().get(0).getId(), anomalyResultId);
    List<MergedAnomalyResultDTO> mergedResultsByMetricDimensionsTime = mergedAnomalyResultDAO.findByCollectionMetricDimensionsTime(mergedResult.getCollection(), mergedResult.getMetric(), mergedResult.getDimensions().toString(), 0, System.currentTimeMillis(), true);
    Assert.assertEquals(mergedResultsByMetricDimensionsTime.get(0), mergedResult);
}
Also used : RawAnomalyResultDTO(com.linkedin.thirdeye.datalayer.dto.RawAnomalyResultDTO) MergedAnomalyResultDTO(com.linkedin.thirdeye.datalayer.dto.MergedAnomalyResultDTO) ArrayList(java.util.ArrayList) AnomalyMergeConfig(com.linkedin.thirdeye.anomaly.merge.AnomalyMergeConfig) Test(org.testng.annotations.Test)

Example 29 with RawAnomalyResultDTO

use of com.linkedin.thirdeye.datalayer.dto.RawAnomalyResultDTO in project pinot by linkedin.

the class TestAnomalyResultManager method testResultFeedback.

@Test(dependsOnMethods = { "testAnomalyResultCRUD" })
public void testResultFeedback() {
    RawAnomalyResultDTO result = rawAnomalyResultDAO.findById(anomalyResult.getId());
    Assert.assertNotNull(result);
    Assert.assertNull(result.getFeedback());
    AnomalyFeedbackDTO feedback = new AnomalyFeedbackDTO();
    feedback.setComment("this is a good find");
    feedback.setFeedbackType(AnomalyFeedbackType.ANOMALY);
    feedback.setStatus(FeedbackStatus.NEW);
    result.setFeedback(feedback);
    rawAnomalyResultDAO.save(result);
    RawAnomalyResultDTO resultRet = rawAnomalyResultDAO.findById(anomalyResult.getId());
    Assert.assertEquals(resultRet.getId(), result.getId());
    Assert.assertNotNull(resultRet.getFeedback());
    AnomalyFunctionDTO functionSpec = result.getFunction();
    rawAnomalyResultDAO.deleteById(anomalyResult.getId());
    anomalyFunctionDAO.deleteById(functionSpec.getId());
}
Also used : RawAnomalyResultDTO(com.linkedin.thirdeye.datalayer.dto.RawAnomalyResultDTO) AnomalyFeedbackDTO(com.linkedin.thirdeye.datalayer.dto.AnomalyFeedbackDTO) AnomalyFunctionDTO(com.linkedin.thirdeye.datalayer.dto.AnomalyFunctionDTO) Test(org.testng.annotations.Test)

Example 30 with RawAnomalyResultDTO

use of com.linkedin.thirdeye.datalayer.dto.RawAnomalyResultDTO in project pinot by linkedin.

the class TestAnomalyResultManager method testAnomalyResultCRUD.

@Test
public void testAnomalyResultCRUD() {
    anomalyFunctionDAO.save(spec);
    Assert.assertNotNull(spec);
    // create anomaly result
    anomalyResult = getAnomalyResult();
    anomalyResult.setFunction(spec);
    rawAnomalyResultDAO.save(anomalyResult);
    RawAnomalyResultDTO resultRet = rawAnomalyResultDAO.findById(anomalyResult.getId());
    Assert.assertEquals(resultRet.getFunction(), spec);
}
Also used : RawAnomalyResultDTO(com.linkedin.thirdeye.datalayer.dto.RawAnomalyResultDTO) Test(org.testng.annotations.Test)

Aggregations

RawAnomalyResultDTO (com.linkedin.thirdeye.datalayer.dto.RawAnomalyResultDTO)48 ArrayList (java.util.ArrayList)22 AnomalyFunctionDTO (com.linkedin.thirdeye.datalayer.dto.AnomalyFunctionDTO)19 MergedAnomalyResultDTO (com.linkedin.thirdeye.datalayer.dto.MergedAnomalyResultDTO)17 Test (org.testng.annotations.Test)11 DimensionMap (com.linkedin.thirdeye.api.DimensionMap)9 Interval (org.joda.time.Interval)9 DateTime (org.joda.time.DateTime)8 AnomalyDetectionContext (com.linkedin.thirdeye.anomalydetection.context.AnomalyDetectionContext)7 TimeSeries (com.linkedin.thirdeye.anomalydetection.context.TimeSeries)7 AnomalyFeedbackDTO (com.linkedin.thirdeye.datalayer.dto.AnomalyFeedbackDTO)5 HashMap (java.util.HashMap)5 Path (javax.ws.rs.Path)5 MetricTimeSeries (com.linkedin.thirdeye.api.MetricTimeSeries)3 RawAnomalyResultBean (com.linkedin.thirdeye.datalayer.pojo.RawAnomalyResultBean)3 POST (javax.ws.rs.POST)3 Pair (com.linkedin.pinot.pql.parsers.utils.Pair)2 ExpectedTimeSeriesPredictionModel (com.linkedin.thirdeye.anomalydetection.model.prediction.ExpectedTimeSeriesPredictionModel)2 PredictionModel (com.linkedin.thirdeye.anomalydetection.model.prediction.PredictionModel)2 DimensionKey (com.linkedin.thirdeye.api.DimensionKey)2