forward port flaky test fix and add forecasting security tests

build.gradle

@@ -339,12 +339,15 @@ integTest {
         filter {
             includeTestsMatching "org.opensearch.ad.rest.*IT"
             includeTestsMatching "org.opensearch.ad.e2e.*IT"
+            includeTestsMatching "org.opensearch.forecast.rest.*IT"
+            includeTestsMatching "org.opensearch.forecast.e2e.*IT"
         }
     }
 
     if (System.getProperty("https") == null || System.getProperty("https") == "false") {
         filter {
             excludeTestsMatching "org.opensearch.ad.rest.SecureADRestIT"
+            excludeTestsMatching "org.opensearch.forecast.rest.SecureForecastRestIT"
         }
     }
 
@@ -468,6 +471,7 @@ task integTestRemote(type: RestIntegTestTask) {
     if (System.getProperty("https") == null || System.getProperty("https") == "false") {
         filter {
             excludeTestsMatching "org.opensearch.ad.rest.SecureADRestIT"
+            excludeTestsMatching "org.opensearch.forecast.rest.SecureForecastRestIT"
         }
     }
 }
@@ -696,10 +700,7 @@ List<String> jacocoExclusions = [
 
         // TODO: add test coverage (kaituo)
         'org.opensearch.forecast.*',
-        'org.opensearch.timeseries.ml.TimeSeriesSingleStreamCheckpointDao',
-        'org.opensearch.timeseries.transport.JobRequest',
         'org.opensearch.timeseries.transport.handler.ResultBulkIndexingHandler',
-        'org.opensearch.timeseries.ml.Inferencer',
         'org.opensearch.timeseries.transport.SingleStreamResultRequest',
         'org.opensearch.timeseries.rest.handler.IndexJobActionHandler.1',
         'org.opensearch.timeseries.transport.SuggestConfigParamResponse',
@@ -727,7 +728,6 @@ List<String> jacocoExclusions = [
         'org.opensearch.timeseries.ratelimit.RateLimitedRequestWorker',
         'org.opensearch.timeseries.util.TimeUtil',
         'org.opensearch.ad.transport.ADHCImputeTransportAction',
-        'org.opensearch.timeseries.ml.RealTimeInferencer',
 ]
 
 

src/main/java/org/opensearch/ad/ml/ADRealTimeInferencer.java

@@ -7,6 +7,8 @@
 
 import static org.opensearch.timeseries.TimeSeriesAnalyticsPlugin.AD_THREAD_POOL_NAME;
 
+import java.time.Clock;
+
 import org.opensearch.ad.caching.ADCacheProvider;
 import org.opensearch.ad.caching.ADPriorityCache;
 import org.opensearch.ad.indices.ADIndex;
@@ -32,7 +34,8 @@ public ADRealTimeInferencer(
         ADColdStartWorker coldStartWorker,
         ADSaveResultStrategy resultWriteWorker,
         ADCacheProvider cache,
-        ThreadPool threadPool
+        ThreadPool threadPool,
+        Clock clock
     ) {
         super(
             modelManager,
@@ -43,7 +46,8 @@ public ADRealTimeInferencer(
             resultWriteWorker,
             cache,
             threadPool,
-            AD_THREAD_POOL_NAME
+            AD_THREAD_POOL_NAME,
+            clock
         );
     }
 

src/main/java/org/opensearch/ad/transport/ADHCImputeTransportAction.java

@@ -31,7 +31,6 @@
 import org.opensearch.timeseries.ml.ModelState;
 import org.opensearch.timeseries.ml.Sample;
 import org.opensearch.timeseries.model.Config;
-import org.opensearch.timeseries.model.IntervalTimeConfiguration;
 import org.opensearch.timeseries.util.ActionListenerExecutor;
 import org.opensearch.transport.TransportService;
 
@@ -129,14 +128,12 @@ protected ADHCImputeNodeResponse nodeOperation(ADHCImputeNodeRequest nodeRequest
                 return;
             }
             Config config = configOptional.get();
-            long windowDelayMillis = ((IntervalTimeConfiguration) config.getWindowDelay()).toDuration().toMillis();
             int featureSize = config.getEnabledFeatureIds().size();
             long dataEndMillis = nodeRequest.getRequest().getDataEndMillis();
             long dataStartMillis = nodeRequest.getRequest().getDataStartMillis();
-            long executionEndTime = dataEndMillis + windowDelayMillis;
             String taskId = nodeRequest.getRequest().getTaskId();
             for (ModelState<ThresholdedRandomCutForest> modelState : cache.get().getAllModels(configId)) {
-                if (shouldProcessModelState(modelState, executionEndTime, clusterService, hashRing)) {
+                if (shouldProcessModelState(modelState, dataEndMillis, clusterService, hashRing)) {
                     double[] nanArray = new double[featureSize];
                     Arrays.fill(nanArray, Double.NaN);
                     adInferencer
@@ -163,8 +160,8 @@ protected ADHCImputeNodeResponse nodeOperation(ADHCImputeNodeRequest nodeRequest
      * Determines whether the model state should be processed based on various conditions.
      *
      * Conditions checked:
-     * - The model's last seen execution end time is not the minimum Instant value.
-     * - The current execution end time is greater than or equal to the model's last seen execution end time,
+     * - The model's last seen data end time is not the minimum Instant value. This means the model hasn't been initialized yet.
+     * - The current data end time is greater than the model's last seen data end time,
      *   indicating that the model state was updated in previous intervals.
      * - The entity associated with the model state is present.
      * - The owning node for real-time processing of the entity, with the same local version, is present in the hash ring.
@@ -175,14 +172,14 @@ protected ADHCImputeNodeResponse nodeOperation(ADHCImputeNodeRequest nodeRequest
      * concurrently (e.g., during tests when multiple threads may operate quickly).
      *
      * @param modelState       The current state of the model.
-     * @param executionEndTime The end time of the current execution interval.
+     * @param dataEndTime      The data end time of current interval.
      * @param clusterService   The service providing information about the current cluster node.
      * @param hashRing         The hash ring used to determine the owning node for real-time processing of entities.
      * @return true if the model state should be processed; otherwise, false.
      */
     private boolean shouldProcessModelState(
         ModelState<ThresholdedRandomCutForest> modelState,
-        long executionEndTime,
+        long dataEndTime,
         ClusterService clusterService,
         HashRing hashRing
     ) {
@@ -194,8 +191,8 @@ private boolean shouldProcessModelState(
         // Check if the model state conditions are met for processing
         // We cannot use last used time as it will be updated whenever we update its priority in CacheBuffer.update when there is a
         // PriorityCache.get.
-        return modelState.getLastSeenExecutionEndTime() != Instant.MIN
-            && executionEndTime >= modelState.getLastSeenExecutionEndTime().toEpochMilli()
+        return modelState.getLastSeenDataEndTime() != Instant.MIN
+            && dataEndTime > modelState.getLastSeenDataEndTime().toEpochMilli()
             && modelState.getEntity().isPresent()
             && owningNode.isPresent()
             && owningNode.get().getId().equals(clusterService.localNode().getId());

src/main/java/org/opensearch/forecast/ml/ForecastRealTimeInferencer.java

@@ -7,6 +7,8 @@
 
 import static org.opensearch.timeseries.TimeSeriesAnalyticsPlugin.FORECAST_THREAD_POOL_NAME;
 
+import java.time.Clock;
+
 import org.opensearch.forecast.caching.ForecastCacheProvider;
 import org.opensearch.forecast.caching.ForecastPriorityCache;
 import org.opensearch.forecast.indices.ForecastIndex;
@@ -32,7 +34,8 @@ public ForecastRealTimeInferencer(
         ForecastColdStartWorker coldStartWorker,
         ForecastSaveResultStrategy resultWriteWorker,
         ForecastCacheProvider cache,
-        ThreadPool threadPool
+        ThreadPool threadPool,
+        Clock clock
     ) {
         super(
             modelManager,
@@ -43,7 +46,8 @@ public ForecastRealTimeInferencer(
             resultWriteWorker,
             cache,
             threadPool,
-            FORECAST_THREAD_POOL_NAME
+            FORECAST_THREAD_POOL_NAME,
+            clock
         );
     }
 

src/main/java/org/opensearch/forecast/rest/RestGetForecasterAction.java

@@ -71,7 +71,6 @@ protected RestChannelConsumer prepareRequest(RestRequest request, NodeClient cli
                 all,
                 RestHandlerUtils.buildEntity(request, forecasterId)
             );
-
             return channel -> client.execute(GetForecasterAction.INSTANCE, getForecasterRequest, new RestToXContentListener<>(channel));
         } catch (IllegalArgumentException e) {
             throw new IllegalArgumentException(Encode.forHtml(e.getMessage()));

src/main/java/org/opensearch/forecast/transport/SearchTopForecastResultTransportAction.java

@@ -467,7 +467,6 @@ private QueryBuilder generateBuildInSubFilter(SearchTopForecastResultRequest req
      */
     private RangeQueryBuilder generateDateFilter(SearchTopForecastResultRequest request, Forecaster forecaster) {
         // forecast from is data end time for forecast
-        // return QueryBuilders.termQuery(CommonName.DATA_END_TIME_FIELD, request.getForecastFrom().toEpochMilli());
         long startInclusive = request.getForecastFrom().toEpochMilli();
         long endExclusive = startInclusive + forecaster.getIntervalInMilliseconds();
         return QueryBuilders.rangeQuery(CommonName.DATA_END_TIME_FIELD).gte(startInclusive).lt(endExclusive);

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

@@ -840,7 +840,8 @@ public PooledObject<LinkedBuffer> wrap(LinkedBuffer obj) {
             adColdstartQueue,
             adSaveResultStrategy,
             adCacheProvider,
-            threadPool
+            threadPool,
+            getClock()
         );
 
         ADCheckpointReadWorker adCheckpointReadQueue = new ADCheckpointReadWorker(
@@ -1230,7 +1231,8 @@ public PooledObject<LinkedBuffer> wrap(LinkedBuffer obj) {
             forecastColdstartQueue,
             forecastSaveResultStrategy,
             forecastCacheProvider,
-            threadPool
+            threadPool,
+            getClock()
         );
 
         ForecastCheckpointReadWorker forecastCheckpointReadQueue = new ForecastCheckpointReadWorker(

src/main/java/org/opensearch/timeseries/caching/PriorityCache.java

@@ -174,7 +174,7 @@ public ModelState<RCFModelType> get(String modelId, Config config) {
                     // reset every 60 intervals
                     return new DoorKeeper(
                         TimeSeriesSettings.DOOR_KEEPER_FOR_CACHE_MAX_INSERTION,
-                        config.getIntervalDuration().multipliedBy(TimeSeriesSettings.DOOR_KEEPER_MAINTENANCE_FREQ),
+                        config.getIntervalDuration().multipliedBy(TimeSeriesSettings.EXPIRING_VALUE_MAINTENANCE_FREQ),
                         clock,
                         TimeSeriesSettings.CACHE_DOOR_KEEPER_COUNT_THRESHOLD
                     );

src/main/java/org/opensearch/timeseries/ml/ModelColdStart.java

@@ -241,7 +241,7 @@ private void coldStart(
                 // reset every 60 intervals
                 return new DoorKeeper(
                     TimeSeriesSettings.DOOR_KEEPER_FOR_COLD_STARTER_MAX_INSERTION,
-                    config.getIntervalDuration().multipliedBy(TimeSeriesSettings.DOOR_KEEPER_MAINTENANCE_FREQ),
+                    config.getIntervalDuration().multipliedBy(TimeSeriesSettings.EXPIRING_VALUE_MAINTENANCE_FREQ),
                     clock,
                     TimeSeriesSettings.COLD_START_DOOR_KEEPER_COUNT_THRESHOLD
                 );
@@ -251,7 +251,7 @@ private void coldStart(
                 logger
                     .info(
                         "Won't retry real-time cold start within {} intervals for model {}",
-                        TimeSeriesSettings.DOOR_KEEPER_MAINTENANCE_FREQ,
+                        TimeSeriesSettings.EXPIRING_VALUE_MAINTENANCE_FREQ,
                         modelId
                     );
                 return;

src/main/java/org/opensearch/timeseries/ml/ModelManager.java

@@ -169,7 +169,7 @@ public <RCFDescriptor extends AnomalyDescriptor> IntermediateResultType score(
             throw e;
         } finally {
             modelState.setLastUsedTime(clock.instant());
-            modelState.setLastSeenExecutionEndTime(clock.instant());
+            modelState.setLastSeenDataEndTime(sample.getDataEndTime());
         }
         return createEmptyResult();
     }

src/main/java/org/opensearch/timeseries/ml/ModelState.java

@@ -36,7 +36,7 @@ public class ModelState<T> implements org.opensearch.timeseries.ExpiringState {
     // time when the ML model was used last time
     protected Instant lastUsedTime;
     protected Instant lastCheckpointTime;
-    protected Instant lastSeenExecutionEndTime;
+    protected Instant lastSeenDataEndTime;
     protected Clock clock;
     protected float priority;
     protected Deque<Sample> samples;
@@ -75,7 +75,7 @@ public ModelState(
         this.priority = priority;
         this.entity = entity;
         this.samples = samples;
-        this.lastSeenExecutionEndTime = Instant.MIN;
+        this.lastSeenDataEndTime = Instant.MIN;
     }
 
     /**
@@ -252,11 +252,11 @@ public Map<String, Object> getModelStateAsMap() {
         };
     }
 
-    public Instant getLastSeenExecutionEndTime() {
-        return lastSeenExecutionEndTime;
+    public Instant getLastSeenDataEndTime() {
+        return lastSeenDataEndTime;
     }
 
-    public void setLastSeenExecutionEndTime(Instant lastSeenExecutionEndTime) {
-        this.lastSeenExecutionEndTime = lastSeenExecutionEndTime;
+    public void setLastSeenDataEndTime(Instant lastSeenExecutionEndTime) {
+        this.lastSeenDataEndTime = lastSeenExecutionEndTime;
     }
 }