Revert "Filter out remote model auto redeployment (opensearch-project#2976)" and related commits (opensearch-project#3104, opensearch-project#3214) (opensearch-project#3368)

* Revert "Filter out remote model auto redeployment (opensearch-project#2976)" and related commits (opensearch-project#3104, opensearch-project#3214)

Signed-off-by: Bhavana Goud Ramaram <[email protected]>

Author: rbhavna

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;
@@ -189,7 +187,6 @@ private void triggerAutoDeployModels(List<String> addedNodes) {
             } else {
                 log.info("Could not find any models in the index, not performing auto reloading!");
                 startCronjobAndClearListener();
-                return;
             }
         }, e -> {
             if (e instanceof IndexNotFoundException) {
@@ -245,9 +242,7 @@ 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);
@@ -270,27 +265,17 @@ private void triggerModelRedeploy(ModelAutoRedeployArrangement modelAutoRedeploy
         }
         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) {

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);

plugin/src/test/resources/org/opensearch/ml/autoredeploy/RemoteModelResult.json

@@ -11,4 +11,4 @@
     "all_config": "{\"architectures\":[\"BertModel\"],\"max_position_embeddings\":512,\"model_type\":\"bert\",\"num_attention_heads\":12,\"num_hidden_layers\":6}"
   },
   "url": "https://github.com/opensearch-project/ml-commons/blob/2.x/ml-algorithms/src/test/resources/org/opensearch/ml/engine/algorithms/text_embedding/traced_small_model.zip?raw=true"
-}
+}