[backport to 2.x] Bump RCF Version and Fix Default Rules Bug in AnomalyDetector

build.gradle

@@ -126,9 +126,9 @@ dependencies {
     implementation group: 'com.yahoo.datasketches', name: 'memory', version: '0.12.2'
     implementation group: 'commons-lang', name: 'commons-lang', version: '2.6'
     implementation group: 'org.apache.commons', name: 'commons-pool2', version: '2.12.0'
-    implementation 'software.amazon.randomcutforest:randomcutforest-serialization:4.1.0'
-    implementation 'software.amazon.randomcutforest:randomcutforest-parkservices:4.1.0'
-    implementation 'software.amazon.randomcutforest:randomcutforest-core:4.1.0'
+    implementation 'software.amazon.randomcutforest:randomcutforest-serialization:4.2.0'
+    implementation 'software.amazon.randomcutforest:randomcutforest-parkservices:4.2.0'
+    implementation 'software.amazon.randomcutforest:randomcutforest-core:4.2.0'
 
     // we inherit jackson-core from opensearch core
     implementation "com.fasterxml.jackson.core:jackson-databind:2.16.1"
@@ -700,9 +700,6 @@ List<String> jacocoExclusions = [
 
         // TODO: add test coverage (kaituo)
         'org.opensearch.forecast.*',
-        'org.opensearch.timeseries.transport.handler.ResultBulkIndexingHandler',
-        'org.opensearch.timeseries.transport.SingleStreamResultRequest',
-        'org.opensearch.timeseries.rest.handler.IndexJobActionHandler.1',
         'org.opensearch.timeseries.transport.SuggestConfigParamResponse',
         'org.opensearch.timeseries.transport.SuggestConfigParamRequest',
         'org.opensearch.timeseries.ml.MemoryAwareConcurrentHashmap',

src/main/java/org/opensearch/ad/model/AnomalyDetector.java

@@ -233,7 +233,7 @@ public AnomalyDetector(
 
         this.detectorType = isHC(categoryFields) ? MULTI_ENTITY.name() : SINGLE_ENTITY.name();
 
-        this.rules = rules == null ? getDefaultRule() : rules;
+        this.rules = rules == null || rules.isEmpty() ? getDefaultRule() : rules;
     }
 
     /*

src/main/java/org/opensearch/timeseries/JobProcessor.java

@@ -200,7 +200,7 @@ public void process(Job jobParameter, JobExecutionContext context) {
      * @param executionStartTime analysis start time
      * @param executionEndTime analysis end time
      * @param recorder utility to record job execution result
-     * @param detector associated detector accessor
+     * @param config associated config accessor
      */
     public void runJob(
         Job jobParameter,
@@ -209,7 +209,7 @@ public void runJob(
         Instant executionStartTime,
         Instant executionEndTime,
         ExecuteResultResponseRecorderType recorder,
-        Config detector
+        Config config
     ) {
         String configId = jobParameter.getName();
         if (lock == null) {
@@ -222,7 +222,7 @@ public void runJob(
                 "Can't run job due to null lock",
                 false,
                 recorder,
-                detector
+                config
             );
             return;
         }
@@ -243,7 +243,7 @@ public void runJob(
             user,
             roles,
             recorder,
-            detector
+            config
         );
     }
 

src/main/java/org/opensearch/timeseries/ratelimit/ColdStartWorker.java

@@ -163,19 +163,18 @@ protected void executeRequest(FeatureRequest coldStartRequest, ActionListener<Vo
                         );
                         IntermediateResultType result = modelManager.getResult(currentSample, modelState, modelId, config, taskId);
                         resultSaver.saveResult(result, config, coldStartRequest, modelId);
-                    }
 
-                    // only load model to memory for real time analysis that has no task id
-                    if (null == coldStartRequest.getTaskId()) {
-                        boolean hosted = cacheProvider.hostIfPossible(configOptional.get(), modelState);
-                        LOG
-                            .debug(
-                                hosted
-                                    ? new ParameterizedMessage("Loaded model {}.", modelState.getModelId())
-                                    : new ParameterizedMessage("Failed to load model {}.", modelState.getModelId())
-                            );
+                        // only load model to memory for real time analysis that has no task id
+                        if (null == coldStartRequest.getTaskId()) {
+                            boolean hosted = cacheProvider.hostIfPossible(configOptional.get(), modelState);
+                            LOG
+                                .debug(
+                                    hosted
+                                        ? new ParameterizedMessage("Loaded model {}.", modelState.getModelId())
+                                        : new ParameterizedMessage("Failed to load model {}.", modelState.getModelId())
+                                );
+                        }
                     }
-
                 } finally {
                     listener.onResponse(null);
                 }

src/main/java/org/opensearch/timeseries/rest/handler/IndexJobActionHandler.java

@@ -462,7 +462,7 @@ public void stopJob(String configId, TransportService transportService, ActionLi
         }));
     }
 
-    private ActionListener<StopConfigResponse> stopConfigListener(
+    public ActionListener<StopConfigResponse> stopConfigListener(
         String configId,
         TransportService transportService,
         ActionListener<JobResponse> listener

src/main/java/org/opensearch/timeseries/transport/handler/ResultBulkIndexingHandler.java

@@ -145,7 +145,7 @@ public void bulk(String resultIndexOrAlias, List<ResultType> results, String con
         } catch (Exception e) {
             String error = "Failed to bulk index result";
             LOG.error(error, e);
-            listener.onFailure(new TimeSeriesException(error, e));
+            listener.onFailure(new TimeSeriesException(configId, error, e));
         }
     }
 

src/test/java/org/opensearch/ad/e2e/AbstractRuleTestCase.java

@@ -84,7 +84,7 @@ protected String genDetector(String datasetName, int intervalMinutes, int trainT
         if (relative) {
             thresholdType1 = "actual_over_expected_ratio";
             thresholdType2 = "expected_over_actual_ratio";
-            value = 0.3;
+            value = 0.2;
         } else {
             thresholdType1 = "actual_over_expected_margin";
             thresholdType2 = "expected_over_actual_margin";

src/test/java/org/opensearch/ad/e2e/HistoricalRuleModelPerfIT.java

@@ -36,7 +36,7 @@ public void testRule() throws Exception {
             minPrecision.put("Scottsdale", 0.5);
             Map<String, Double> minRecall = new HashMap<>();
             minRecall.put("Phoenix", 0.9);
-            minRecall.put("Scottsdale", 0.6);
+            minRecall.put("Scottsdale", 0.3);
             verifyRule("rule", 10, minPrecision.size(), 1500, minPrecision, minRecall, 20);
         }
     }

src/test/java/org/opensearch/ad/e2e/RealTimeRuleModelPerfIT.java

@@ -36,7 +36,7 @@ public void testRule() throws Exception {
             minPrecision.put("Scottsdale", 0.5);
             Map<String, Double> minRecall = new HashMap<>();
             minRecall.put("Phoenix", 0.9);
-            minRecall.put("Scottsdale", 0.6);
+            minRecall.put("Scottsdale", 0.3);
             verifyRule("rule", 10, minPrecision.size(), 1500, minPrecision, minRecall, 20);
         }
     }

src/test/java/org/opensearch/ad/ml/ADColdStartTests.java

@@ -0,0 +1,63 @@
+/*
+ * Copyright OpenSearch Contributors
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+package org.opensearch.ad.ml;
+
+import java.io.IOException;
+import java.util.ArrayList;
+
+import org.opensearch.ad.model.AnomalyDetector;
+import org.opensearch.test.OpenSearchTestCase;
+import org.opensearch.timeseries.TestHelpers;
+
+import com.amazon.randomcutforest.parkservices.ThresholdedRandomCutForest;
+
+public class ADColdStartTests extends OpenSearchTestCase {
+    private int baseDimensions = 1;
+    private int shingleSize = 8;
+    private int dimensions;
+
+    @Override
+    public void setUp() throws Exception {
+        super.setUp();
+        dimensions = baseDimensions * shingleSize;
+    }
+
+    /**
+     * Test if no explicit rule is provided, we apply 20% rule.
+     * @throws IOException when failing to constructor detector
+     */
+    public void testEmptyRule() throws IOException {
+        AnomalyDetector detector = TestHelpers.AnomalyDetectorBuilder.newInstance(1).setRules(new ArrayList<>()).build();
+        ThresholdedRandomCutForest.Builder builder = new ThresholdedRandomCutForest.Builder<>()
+            .dimensions(dimensions)
+            .shingleSize(shingleSize);
+        ADColdStart.applyRule(builder, detector);
+
+        ThresholdedRandomCutForest forest = builder.build();
+        double[] ignore = forest.getPredictorCorrector().getIgnoreNearExpected();
+
+        // Specify a small delta for floating-point comparison
+        double delta = 1e-6;
+
+        assertArrayEquals("The double arrays are not equal", new double[] { 0, 0, 0.2, 0.2 }, ignore, delta);
+    }
+
+    public void testNullRule() throws IOException {
+        AnomalyDetector detector = TestHelpers.AnomalyDetectorBuilder.newInstance(1).setRules(null).build();
+        ThresholdedRandomCutForest.Builder builder = new ThresholdedRandomCutForest.Builder<>()
+            .dimensions(dimensions)
+            .shingleSize(shingleSize);
+        ADColdStart.applyRule(builder, detector);
+
+        ThresholdedRandomCutForest forest = builder.build();
+        double[] ignore = forest.getPredictorCorrector().getIgnoreNearExpected();
+
+        // Specify a small delta for floating-point comparison
+        double delta = 1e-6;
+
+        assertArrayEquals("The double arrays are not equal", new double[] { 0, 0, 0.2, 0.2 }, ignore, delta);
+    }
+}

src/test/java/org/opensearch/ad/rest/AnomalyDetectorRestApiIT.java

@@ -607,6 +607,19 @@ public void testStatsAnomalyDetector() throws Exception {
             .makeRequest(client(), "GET", TimeSeriesAnalyticsPlugin.LEGACY_AD_BASE + "/stats", ImmutableMap.of(), "", null);
 
         assertEquals("Get stats failed", RestStatus.OK, TestHelpers.restStatus(statsResponse));
+
+        statsResponse = TestHelpers
+            .makeRequest(
+                client(),
+                "GET",
+                TimeSeriesAnalyticsPlugin.LEGACY_AD_BASE
+                    + "/_local/stats/ad_execute_request_count,anomaly_detectors_index_status,ad_hc_execute_request_count,ad_hc_execute_failure_count,ad_execute_failure_count,models_checkpoint_index_status,anomaly_results_index_status",
+                ImmutableMap.of(),
+                "",
+                null
+            );
+
+        assertEquals("Get stats failed", RestStatus.OK, TestHelpers.restStatus(statsResponse));
     }
 
     public void testPreviewAnomalyDetector() throws Exception {

src/test/java/org/opensearch/ad/task/ADTaskManagerTests.java

@@ -61,6 +61,7 @@
 import org.apache.lucene.search.TotalHits;
 import org.mockito.ArgumentCaptor;
 import org.mockito.Captor;
+import org.opensearch.OpenSearchStatusException;
 import org.opensearch.Version;
 import org.opensearch.action.DocWriteRequest;
 import org.opensearch.action.DocWriteResponse;
@@ -104,6 +105,7 @@
 import org.opensearch.core.common.transport.TransportAddress;
 import org.opensearch.core.index.Index;
 import org.opensearch.core.index.shard.ShardId;
+import org.opensearch.core.rest.RestStatus;
 import org.opensearch.core.xcontent.NamedXContentRegistry;
 import org.opensearch.core.xcontent.ToXContent;
 import org.opensearch.index.IndexNotFoundException;
@@ -136,6 +138,7 @@
 import org.opensearch.timeseries.transport.JobResponse;
 import org.opensearch.timeseries.transport.StatsNodeResponse;
 import org.opensearch.timeseries.transport.StatsNodesResponse;
+import org.opensearch.timeseries.transport.StopConfigResponse;
 import org.opensearch.timeseries.util.ClientUtil;
 import org.opensearch.timeseries.util.DiscoveryNodeFilterer;
 import org.opensearch.transport.TransportResponseHandler;
@@ -1544,4 +1547,30 @@ public void testDeleteTaskDocs() {
         verify(adTaskCacheManager, times(1)).addDeletedTask(anyString());
         verify(function, times(1)).execute();
     }
+
+    public void testStopConfigListener_onResponse_failure() {
+        // Arrange
+        String configId = randomAlphaOfLength(5);
+        TransportService transportService = mock(TransportService.class);
+        @SuppressWarnings("unchecked")
+        ActionListener<JobResponse> listener = mock(ActionListener.class);
+
+        // Act
+        ActionListener<StopConfigResponse> stopConfigListener = indexAnomalyDetectorJobActionHandler
+            .stopConfigListener(configId, transportService, listener);
+        StopConfigResponse stopConfigResponse = mock(StopConfigResponse.class);
+        when(stopConfigResponse.success()).thenReturn(false);
+
+        stopConfigListener.onResponse(stopConfigResponse);
+
+        // Assert
+        ArgumentCaptor<OpenSearchStatusException> exceptionCaptor = ArgumentCaptor.forClass(OpenSearchStatusException.class);
+
+        verify(adTaskManager, times(1))
+            .stopLatestRealtimeTask(eq(configId), eq(TaskState.FAILED), exceptionCaptor.capture(), eq(transportService), eq(listener));
+
+        OpenSearchStatusException capturedException = exceptionCaptor.getValue();
+        assertEquals("Failed to delete model", capturedException.getMessage());
+        assertEquals(RestStatus.INTERNAL_SERVER_ERROR, capturedException.status());
+    }
 }