Revert "Filter out remote model auto redeployment (opensearch-project…

…#2976)" and related commits (opensearch-project#3104, opensearch-project#3214)

plugin/src/main/java/org/opensearch/ml/autoredeploy/MLModelAutoReDeployer.java

@@ -12,7 +12,6 @@
 import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.List;
-import java.util.Map;
 import java.util.Optional;
 import java.util.Queue;
 import java.util.concurrent.ConcurrentLinkedQueue;
@@ -31,7 +30,6 @@
 import org.opensearch.core.common.Strings;
 import org.opensearch.index.IndexNotFoundException;
 import org.opensearch.index.query.TermsQueryBuilder;
-import org.opensearch.ml.common.FunctionName;
 import org.opensearch.ml.common.MLModel;
 import org.opensearch.ml.common.model.MLModelState;
 import org.opensearch.ml.common.transport.deploy.MLDeployModelAction;
@@ -186,10 +184,6 @@ private void triggerAutoDeployModels(List<String> addedNodes) {
                             modelAutoRedeployArrangements.add(modelAutoRedeployArrangement);
                     });
                 redeployAModel();
-            } else {
-                log.info("Could not find any models in the index, not performing auto reloading!");
-                startCronjobAndClearListener();
-                return;
             }
         }, e -> {
             if (e instanceof IndexNotFoundException) {
@@ -221,7 +215,7 @@ private void triggerUndeployModelsOnDataNodes(List<String> dataNodeIds) {
                     client.execute(MLUndeployModelAction.INSTANCE, undeployModelNodesRequest, undeployModelListener);
                 }
             }
-        }, e -> { log.error("Failed to query need undeploy models, no action will be performed", e); });
+        }, e -> { log.error("Failed to query need undeploy models, no action will be performed"); });
         queryRunningModels(listener);
     }
 
@@ -245,9 +239,7 @@ private void queryRunningModels(ActionListener<SearchResponse> listener) {
         String[] includes = new String[] {
             MLModel.AUTO_REDEPLOY_RETRY_TIMES_FIELD,
             MLModel.PLANNING_WORKER_NODES_FIELD,
-            MLModel.DEPLOY_TO_ALL_NODES_FIELD,
-            MLModel.FUNCTION_NAME_FIELD,
-            MLModel.ALGORITHM_FIELD };
+            MLModel.DEPLOY_TO_ALL_NODES_FIELD };
 
         String[] excludes = new String[] { MLModel.MODEL_CONTENT_FIELD, MLModel.OLD_MODEL_CONTENT_FIELD };
         FetchSourceContext fetchContext = new FetchSourceContext(true, includes, excludes);
@@ -263,34 +255,19 @@ private void queryRunningModels(ActionListener<SearchResponse> listener) {
 
     @SuppressWarnings("unchecked")
     private void triggerModelRedeploy(ModelAutoRedeployArrangement modelAutoRedeployArrangement) {
-        if (modelAutoRedeployArrangement == null) {
-            log.info("No more models in arrangement, skipping the redeployment");
-            startCronjobAndClearListener();
-            return;
-        }
         String modelId = modelAutoRedeployArrangement.getSearchResponse().getId();
         List<String> addedNodes = modelAutoRedeployArrangement.getAddedNodes();
-        Map<String, Object> sourceAsMap = modelAutoRedeployArrangement.getSearchResponse().getSourceAsMap();
-        String functionName = (String) Optional
-            .ofNullable(sourceAsMap.get(MLModel.FUNCTION_NAME_FIELD))
-            .orElse(sourceAsMap.get(MLModel.ALGORITHM_FIELD));
-        if (functionName == null) {
-            log
-                .error(
-                    "Model function_name or algorithm is null, model is not in correct status, please check the model, model id is: {}",
-                    modelId
-                );
-            redeployAModel();
-            return;
-        }
-        if (FunctionName.REMOTE == FunctionName.from(functionName)) {
-            log.info("Skipping redeploying remote model {} as remote model deployment can be done at prediction time.", modelId);
-            redeployAModel();
-            return;
-        }
-        List<String> planningWorkerNodes = (List<String>) sourceAsMap.get(MLModel.PLANNING_WORKER_NODES_FIELD);
-        Integer autoRedeployRetryTimes = (Integer) sourceAsMap.get(MLModel.AUTO_REDEPLOY_RETRY_TIMES_FIELD);
-        Boolean deployToAllNodes = (Boolean) Optional.ofNullable(sourceAsMap.get(MLModel.DEPLOY_TO_ALL_NODES_FIELD)).orElse(false);
+        List<String> planningWorkerNodes = (List<String>) modelAutoRedeployArrangement
+            .getSearchResponse()
+            .getSourceAsMap()
+            .get(MLModel.PLANNING_WORKER_NODES_FIELD);
+        Integer autoRedeployRetryTimes = (Integer) modelAutoRedeployArrangement
+            .getSearchResponse()
+            .getSourceAsMap()
+            .get(MLModel.AUTO_REDEPLOY_RETRY_TIMES_FIELD);
+        Boolean deployToAllNodes = (Boolean) Optional
+            .ofNullable(modelAutoRedeployArrangement.getSearchResponse().getSourceAsMap().get(MLModel.DEPLOY_TO_ALL_NODES_FIELD))
+            .orElse(false);
         // calculate node ids.
         String[] nodeIds = null;
         if (deployToAllNodes || !allowCustomDeploymentPlan) {
@@ -309,7 +286,6 @@ private void triggerModelRedeploy(ModelAutoRedeployArrangement modelAutoRedeploy
                 .info(
                     "Allow custom deployment plan is true and deploy to all nodes is false and added nodes are not in planning worker nodes list, not to auto redeploy the model to the new nodes!"
                 );
-            redeployAModel();
             return;
         }
 

plugin/src/test/java/org/opensearch/ml/autoredeploy/MLModelAutoReDeployerTests.java

@@ -609,34 +609,6 @@ public void test_redeployAModel_with_needRedeployArray_isEmpty() {
         mlModelAutoReDeployer.redeployAModel();
     }
 
-    public void test_buildAutoReloadArrangement_skippingRemoteModel_success() throws Exception {
-        Settings settings = Settings
-            .builder()
-            .put(ML_COMMONS_ONLY_RUN_ON_ML_NODE.getKey(), true)
-            .put(ML_COMMONS_MODEL_AUTO_REDEPLOY_LIFETIME_RETRY_TIMES.getKey(), 3)
-            .put(ML_COMMONS_MODEL_AUTO_REDEPLOY_ENABLE.getKey(), true)
-            .put(ML_COMMONS_ALLOW_CUSTOM_DEPLOYMENT_PLAN.getKey(), false)
-            .build();
-
-        ClusterService clusterService = mock(ClusterService.class);
-        when(clusterService.localNode()).thenReturn(localNode);
-        when(clusterService.getClusterSettings()).thenReturn(getClusterSettings(settings));
-        mockClusterDataNodes(clusterService);
-
-        mlModelAutoReDeployer = spy(
-            new MLModelAutoReDeployer(clusterService, client, settings, mlModelManager, searchRequestBuilderFactory)
-        );
-
-        SearchResponse searchResponse = buildDeployToAllNodesTrueSearchResponse("RemoteModelResult.json");
-        doAnswer(invocation -> {
-            ActionListener<SearchResponse> listener = invocation.getArgument(0);
-            listener.onResponse(searchResponse);
-            return null;
-        }).when(searchRequestBuilder).execute(isA(ActionListener.class));
-        mlModelAutoReDeployer.buildAutoReloadArrangement(addedNodes, clusterManagerNodeId);
-        verify(client, never()).execute(any(MLDeployModelAction.class), any(MLDeployModelRequest.class), any(ActionListener.class));
-    }
-
     private SearchResponse buildDeployToAllNodesTrueSearchResponse(String file) throws Exception {
         MLModel mlModel = buildModelWithJsonFile(file);
         return createResponseWithModel(mlModel);