Change query clause name to neural_sparse

src/main/java/org/opensearch/neuralsearch/plugin/NeuralSearch.java

@@ -42,7 +42,7 @@
 import org.opensearch.neuralsearch.processor.normalization.ScoreNormalizer;
 import org.opensearch.neuralsearch.query.HybridQueryBuilder;
 import org.opensearch.neuralsearch.query.NeuralQueryBuilder;
-import org.opensearch.neuralsearch.query.SparseEncodingQueryBuilder;
+import org.opensearch.neuralsearch.query.NeuralSparseQueryBuilder;
 import org.opensearch.neuralsearch.search.query.HybridQueryPhaseSearcher;
 import org.opensearch.neuralsearch.util.NeuralSearchClusterUtil;
 import org.opensearch.plugins.ActionPlugin;
@@ -85,7 +85,7 @@
     ) {
         NeuralSearchClusterUtil.instance().initialize(clusterService);
         NeuralQueryBuilder.initialize(clientAccessor);
-        SparseEncodingQueryBuilder.initialize(clientAccessor);
+        NeuralSparseQueryBuilder.initialize(clientAccessor);
         normalizationProcessorWorkflow = new NormalizationProcessorWorkflow(new ScoreNormalizer(), new ScoreCombiner());
         return List.of(clientAccessor);
     }
@@ -95,7 +95,7 @@
         return Arrays.asList(
             new QuerySpec<>(NeuralQueryBuilder.NAME, NeuralQueryBuilder::new, NeuralQueryBuilder::fromXContent),
             new QuerySpec<>(HybridQueryBuilder.NAME, HybridQueryBuilder::new, HybridQueryBuilder::fromXContent),
-            new QuerySpec<>(SparseEncodingQueryBuilder.NAME, SparseEncodingQueryBuilder::new, SparseEncodingQueryBuilder::fromXContent)
+            new QuerySpec<>(NeuralSparseQueryBuilder.NAME, NeuralSparseQueryBuilder::new, NeuralSparseQueryBuilder::fromXContent)
         );
     }
 

src/main/java/org/opensearch/neuralsearch/processor/NLPProcessor.java → src/main/java/org/opensearch/neuralsearch/processor/InferenceProcessor.java

@@ -32,7 +32,7 @@
  * and set the target fields according to the field name map.
  */
 @Log4j2
-public abstract class NLPProcessor extends AbstractProcessor {
+public abstract class InferenceProcessor extends AbstractProcessor {
 
     public static final String MODEL_ID_FIELD = "model_id";
     public static final String FIELD_MAP_FIELD = "field_map";
@@ -51,7 +51,7 @@ public abstract class NLPProcessor extends AbstractProcessor {
 
     private final Environment environment;
 
-    public NLPProcessor(
+    public InferenceProcessor(
         String tag,
         String description,
         String type,
@@ -249,7 +249,7 @@ protected void setVectorFieldsToDocument(IngestDocument ingestDocument, Map<Stri
     @SuppressWarnings({ "unchecked" })
     @VisibleForTesting
     Map<String, Object> buildNLPResult(Map<String, Object> processorMap, List<?> results, Map<String, Object> sourceAndMetadataMap) {
-        NLPProcessor.IndexWrapper indexWrapper = new NLPProcessor.IndexWrapper(0);
+        InferenceProcessor.IndexWrapper indexWrapper = new InferenceProcessor.IndexWrapper(0);
         Map<String, Object> result = new LinkedHashMap<>();
         for (Map.Entry<String, Object> knnMapEntry : processorMap.entrySet()) {
             String knnKey = knnMapEntry.getKey();
@@ -270,7 +270,7 @@ private void putNLPResultToSourceMapForMapType(
         String processorKey,
         Object sourceValue,
         List<?> results,
-        NLPProcessor.IndexWrapper indexWrapper,
+        InferenceProcessor.IndexWrapper indexWrapper,
         Map<String, Object> sourceAndMetadataMap
     ) {
         if (processorKey == null || sourceAndMetadataMap == null || sourceValue == null) return;
@@ -294,7 +294,7 @@ private void putNLPResultToSourceMapForMapType(
     private List<Map<String, Object>> buildNLPResultForListType(
         List<String> sourceValue,
         List<?> results,
-        NLPProcessor.IndexWrapper indexWrapper
+        InferenceProcessor.IndexWrapper indexWrapper
     ) {
         List<Map<String, Object>> keyToResult = new ArrayList<>();
         IntStream.range(0, sourceValue.size())

src/main/java/org/opensearch/neuralsearch/processor/SparseEncodingProcessor.java

@@ -22,7 +22,7 @@
  * and field_map can be used to indicate which fields needs text embedding and the corresponding keys for the sparse encoding results.
  */
 @Log4j2
-public final class SparseEncodingProcessor extends NLPProcessor {
+public final class SparseEncodingProcessor extends InferenceProcessor {
 
     public static final String TYPE = "sparse_encoding";
     public static final String LIST_TYPE_NESTED_MAP_KEY = "sparse_encoding";

src/main/java/org/opensearch/neuralsearch/processor/TextEmbeddingProcessor.java

@@ -21,7 +21,7 @@
  * and field_map can be used to indicate which fields needs text embedding and the corresponding keys for the text embedding results.
  */
 @Log4j2
-public final class TextEmbeddingProcessor extends NLPProcessor {
+public final class TextEmbeddingProcessor extends InferenceProcessor {
 
     public static final String TYPE = "text_embedding";
     public static final String LIST_TYPE_NESTED_MAP_KEY = "knn";

src/main/java/org/opensearch/neuralsearch/query/SparseEncodingQueryBuilder.java → src/main/java/org/opensearch/neuralsearch/query/NeuralSparseQueryBuilder.java

@@ -44,7 +44,7 @@
 import com.google.common.annotations.VisibleForTesting;
 
 /**
- * SparseEncodingQueryBuilder is responsible for handling "sparse_encoding" query types. It uses an ML SPARSE_ENCODING model
+ * SparseEncodingQueryBuilder is responsible for handling "neural_sparse" query types. It uses an ML SPARSE_ENCODING model
  * or SPARSE_TOKENIZE model to produce a Map with String keys and Float values for input text. Then it will be transformed
  * to Lucene FeatureQuery wrapped by Lucene BooleanQuery.
  */
@@ -55,8 +55,8 @@
 @Accessors(chain = true, fluent = true)
 @NoArgsConstructor
 @AllArgsConstructor
-public class SparseEncodingQueryBuilder extends AbstractQueryBuilder<SparseEncodingQueryBuilder> {
-    public static final String NAME = "sparse_encoding";
+public class NeuralSparseQueryBuilder extends AbstractQueryBuilder<NeuralSparseQueryBuilder> {
+    public static final String NAME = "neural_sparse";
     @VisibleForTesting
     static final ParseField QUERY_TEXT_FIELD = new ParseField("query_text");
     @VisibleForTesting
@@ -65,7 +65,7 @@ public class SparseEncodingQueryBuilder extends AbstractQueryBuilder<SparseEncod
     private static MLCommonsClientAccessor ML_CLIENT;
 
     public static void initialize(MLCommonsClientAccessor mlClient) {
-        SparseEncodingQueryBuilder.ML_CLIENT = mlClient;
+        NeuralSparseQueryBuilder.ML_CLIENT = mlClient;
     }
 
     private String fieldName;
@@ -79,7 +79,7 @@ public static void initialize(MLCommonsClientAccessor mlClient) {
      * @param in StreamInput to initialize object from
      * @throws IOException thrown if unable to read from input stream
      */
-    public SparseEncodingQueryBuilder(StreamInput in) throws IOException {
+    public NeuralSparseQueryBuilder(StreamInput in) throws IOException {
         super(in);
         this.fieldName = in.readString();
         this.queryText = in.readString();
@@ -115,8 +115,8 @@ protected void doXContent(XContentBuilder xContentBuilder, Params params) throws
      * @return NeuralQueryBuilder
      * @throws IOException can be thrown by parser
      */
-    public static SparseEncodingQueryBuilder fromXContent(XContentParser parser) throws IOException {
-        SparseEncodingQueryBuilder sparseEncodingQueryBuilder = new SparseEncodingQueryBuilder();
+    public static NeuralSparseQueryBuilder fromXContent(XContentParser parser) throws IOException {
+        NeuralSparseQueryBuilder sparseEncodingQueryBuilder = new NeuralSparseQueryBuilder();
         if (parser.currentToken() != XContentParser.Token.START_OBJECT) {
             throw new ParsingException(parser.getTokenLocation(), "First token of " + NAME + "query must be START_OBJECT");
         }
@@ -150,7 +150,7 @@ public static SparseEncodingQueryBuilder fromXContent(XContentParser parser) thr
         return sparseEncodingQueryBuilder;
     }
 
-    private static void parseQueryParams(XContentParser parser, SparseEncodingQueryBuilder sparseEncodingQueryBuilder) throws IOException {
+    private static void parseQueryParams(XContentParser parser, NeuralSparseQueryBuilder sparseEncodingQueryBuilder) throws IOException {
         XContentParser.Token token;
         String currentFieldName = "";
         while ((token = parser.nextToken()) != XContentParser.Token.END_OBJECT) {
@@ -200,7 +200,7 @@ protected QueryBuilder doRewrite(QueryRewriteContext queryRewriteContext) throws
                 }, actionListener::onFailure)
             ))
         );
-        return new SparseEncodingQueryBuilder().fieldName(fieldName)
+        return new NeuralSparseQueryBuilder().fieldName(fieldName)
             .queryText(queryText)
             .modelId(modelId)
             .queryTokensSupplier(queryTokensSetOnce::get);
@@ -254,7 +254,7 @@ private static void validateQueryTokens(Map<String, Float> queryTokens) {
     }
 
     @Override
-    protected boolean doEquals(SparseEncodingQueryBuilder obj) {
+    protected boolean doEquals(NeuralSparseQueryBuilder obj) {
         if (this == obj) return true;
         if (obj == null || getClass() != obj.getClass()) return false;
         EqualsBuilder equalsBuilder = new EqualsBuilder().append(fieldName, obj.fieldName)

src/test/java/org/opensearch/neuralsearch/query/SparseEncodingQueryBuilderTests.java → src/test/java/org/opensearch/neuralsearch/query/NeuralSparseQueryBuilderTests.java

@@ -11,9 +11,9 @@
 import static org.opensearch.index.query.AbstractQueryBuilder.BOOST_FIELD;
 import static org.opensearch.index.query.AbstractQueryBuilder.NAME_FIELD;
 import static org.opensearch.neuralsearch.TestUtils.xContentBuilderToMap;
-import static org.opensearch.neuralsearch.query.SparseEncodingQueryBuilder.MODEL_ID_FIELD;
-import static org.opensearch.neuralsearch.query.SparseEncodingQueryBuilder.NAME;
-import static org.opensearch.neuralsearch.query.SparseEncodingQueryBuilder.QUERY_TEXT_FIELD;
+import static org.opensearch.neuralsearch.query.NeuralSparseQueryBuilder.MODEL_ID_FIELD;
+import static org.opensearch.neuralsearch.query.NeuralSparseQueryBuilder.NAME;
+import static org.opensearch.neuralsearch.query.NeuralSparseQueryBuilder.QUERY_TEXT_FIELD;
 
 import java.io.IOException;
 import java.util.List;
@@ -42,7 +42,7 @@
 import org.opensearch.neuralsearch.ml.MLCommonsClientAccessor;
 import org.opensearch.test.OpenSearchTestCase;
 
-public class SparseEncodingQueryBuilderTests extends OpenSearchTestCase {
+public class NeuralSparseQueryBuilderTests extends OpenSearchTestCase {
 
     private static final String FIELD_NAME = "testField";
     private static final String QUERY_TEXT = "Hello world!";
@@ -71,7 +71,7 @@ public void testFromXContent_whenBuiltWithQueryText_thenBuildSuccessfully() {
 
         XContentParser contentParser = createParser(xContentBuilder);
         contentParser.nextToken();
-        SparseEncodingQueryBuilder sparseEncodingQueryBuilder = SparseEncodingQueryBuilder.fromXContent(contentParser);
+        NeuralSparseQueryBuilder sparseEncodingQueryBuilder = NeuralSparseQueryBuilder.fromXContent(contentParser);
 
         assertEquals(FIELD_NAME, sparseEncodingQueryBuilder.fieldName());
         assertEquals(QUERY_TEXT, sparseEncodingQueryBuilder.queryText());
@@ -102,7 +102,7 @@ public void testFromXContent_whenBuiltWithOptionals_thenBuildSuccessfully() {
 
         XContentParser contentParser = createParser(xContentBuilder);
         contentParser.nextToken();
-        SparseEncodingQueryBuilder sparseEncodingQueryBuilder = SparseEncodingQueryBuilder.fromXContent(contentParser);
+        NeuralSparseQueryBuilder sparseEncodingQueryBuilder = NeuralSparseQueryBuilder.fromXContent(contentParser);
 
         assertEquals(FIELD_NAME, sparseEncodingQueryBuilder.fieldName());
         assertEquals(QUERY_TEXT, sparseEncodingQueryBuilder.queryText());
@@ -137,7 +137,7 @@ public void testFromXContent_whenBuildWithMultipleRootFields_thenFail() {
 
         XContentParser contentParser = createParser(xContentBuilder);
         contentParser.nextToken();
-        expectThrows(ParsingException.class, () -> SparseEncodingQueryBuilder.fromXContent(contentParser));
+        expectThrows(ParsingException.class, () -> NeuralSparseQueryBuilder.fromXContent(contentParser));
     }
 
     @SneakyThrows
@@ -158,7 +158,7 @@ public void testFromXContent_whenBuildWithMissingQuery_thenFail() {
 
         XContentParser contentParser = createParser(xContentBuilder);
         contentParser.nextToken();
-        expectThrows(IllegalArgumentException.class, () -> SparseEncodingQueryBuilder.fromXContent(contentParser));
+        expectThrows(IllegalArgumentException.class, () -> NeuralSparseQueryBuilder.fromXContent(contentParser));
     }
 
     @SneakyThrows
@@ -179,7 +179,7 @@ public void testFromXContent_whenBuildWithMissingModelId_thenFail() {
 
         XContentParser contentParser = createParser(xContentBuilder);
         contentParser.nextToken();
-        expectThrows(IllegalArgumentException.class, () -> SparseEncodingQueryBuilder.fromXContent(contentParser));
+        expectThrows(IllegalArgumentException.class, () -> NeuralSparseQueryBuilder.fromXContent(contentParser));
     }
 
     @SneakyThrows
@@ -206,13 +206,13 @@ public void testFromXContent_whenBuildWithDuplicateParameters_thenFail() {
 
         XContentParser contentParser = createParser(xContentBuilder);
         contentParser.nextToken();
-        expectThrows(IOException.class, () -> SparseEncodingQueryBuilder.fromXContent(contentParser));
+        expectThrows(IOException.class, () -> NeuralSparseQueryBuilder.fromXContent(contentParser));
     }
 
     @SuppressWarnings("unchecked")
     @SneakyThrows
     public void testToXContent() {
-        SparseEncodingQueryBuilder sparseEncodingQueryBuilder = new SparseEncodingQueryBuilder().fieldName(FIELD_NAME)
+        NeuralSparseQueryBuilder sparseEncodingQueryBuilder = new NeuralSparseQueryBuilder().fieldName(FIELD_NAME)
             .modelId(MODEL_ID)
             .queryText(QUERY_TEXT);
 
@@ -243,7 +243,7 @@ public void testToXContent() {
 
     @SneakyThrows
     public void testStreams() {
-        SparseEncodingQueryBuilder original = new SparseEncodingQueryBuilder();
+        NeuralSparseQueryBuilder original = new NeuralSparseQueryBuilder();
         original.fieldName(FIELD_NAME);
         original.queryText(QUERY_TEXT);
         original.modelId(MODEL_ID);
@@ -260,7 +260,7 @@ public void testStreams() {
             )
         );
 
-        SparseEncodingQueryBuilder copy = new SparseEncodingQueryBuilder(filterStreamInput);
+        NeuralSparseQueryBuilder copy = new NeuralSparseQueryBuilder(filterStreamInput);
         assertEquals(original, copy);
     }
 
@@ -276,54 +276,54 @@ public void testHashAndEquals() {
         String queryName1 = "query-1";
         String queryName2 = "query-2";
 
-        SparseEncodingQueryBuilder sparseEncodingQueryBuilder_baseline = new SparseEncodingQueryBuilder().fieldName(fieldName1)
+        NeuralSparseQueryBuilder sparseEncodingQueryBuilder_baseline = new NeuralSparseQueryBuilder().fieldName(fieldName1)
             .queryText(queryText1)
             .modelId(modelId1)
             .boost(boost1)
             .queryName(queryName1);
 
         // Identical to sparseEncodingQueryBuilder_baseline
-        SparseEncodingQueryBuilder sparseEncodingQueryBuilder_baselineCopy = new SparseEncodingQueryBuilder().fieldName(fieldName1)
+        NeuralSparseQueryBuilder sparseEncodingQueryBuilder_baselineCopy = new NeuralSparseQueryBuilder().fieldName(fieldName1)
             .queryText(queryText1)
             .modelId(modelId1)
             .boost(boost1)
             .queryName(queryName1);
 
         // Identical to sparseEncodingQueryBuilder_baseline except default boost and query name
-        SparseEncodingQueryBuilder sparseEncodingQueryBuilder_defaultBoostAndQueryName = new SparseEncodingQueryBuilder().fieldName(
-            fieldName1
-        ).queryText(queryText1).modelId(modelId1);
+        NeuralSparseQueryBuilder sparseEncodingQueryBuilder_defaultBoostAndQueryName = new NeuralSparseQueryBuilder().fieldName(fieldName1)
+            .queryText(queryText1)
+            .modelId(modelId1);
 
         // Identical to sparseEncodingQueryBuilder_baseline except diff field name
-        SparseEncodingQueryBuilder sparseEncodingQueryBuilder_diffFieldName = new SparseEncodingQueryBuilder().fieldName(fieldName2)
+        NeuralSparseQueryBuilder sparseEncodingQueryBuilder_diffFieldName = new NeuralSparseQueryBuilder().fieldName(fieldName2)
             .queryText(queryText1)
             .modelId(modelId1)
             .boost(boost1)
             .queryName(queryName1);
 
         // Identical to sparseEncodingQueryBuilder_baseline except diff query text
-        SparseEncodingQueryBuilder sparseEncodingQueryBuilder_diffQueryText = new SparseEncodingQueryBuilder().fieldName(fieldName1)
+        NeuralSparseQueryBuilder sparseEncodingQueryBuilder_diffQueryText = new NeuralSparseQueryBuilder().fieldName(fieldName1)
             .queryText(queryText2)
             .modelId(modelId1)
             .boost(boost1)
             .queryName(queryName1);
 
         // Identical to sparseEncodingQueryBuilder_baseline except diff model ID
-        SparseEncodingQueryBuilder sparseEncodingQueryBuilder_diffModelId = new SparseEncodingQueryBuilder().fieldName(fieldName1)
+        NeuralSparseQueryBuilder sparseEncodingQueryBuilder_diffModelId = new NeuralSparseQueryBuilder().fieldName(fieldName1)
             .queryText(queryText1)
             .modelId(modelId2)
             .boost(boost1)
             .queryName(queryName1);
 
         // Identical to sparseEncodingQueryBuilder_baseline except diff boost
-        SparseEncodingQueryBuilder sparseEncodingQueryBuilder_diffBoost = new SparseEncodingQueryBuilder().fieldName(fieldName1)
+        NeuralSparseQueryBuilder sparseEncodingQueryBuilder_diffBoost = new NeuralSparseQueryBuilder().fieldName(fieldName1)
             .queryText(queryText1)
             .modelId(modelId1)
             .boost(boost2)
             .queryName(queryName1);
 
         // Identical to sparseEncodingQueryBuilder_baseline except diff query name
-        SparseEncodingQueryBuilder sparseEncodingQueryBuilder_diffQueryName = new SparseEncodingQueryBuilder().fieldName(fieldName1)
+        NeuralSparseQueryBuilder sparseEncodingQueryBuilder_diffQueryName = new NeuralSparseQueryBuilder().fieldName(fieldName1)
             .queryText(queryText1)
             .modelId(modelId1)
             .boost(boost1)
@@ -356,7 +356,7 @@ public void testHashAndEquals() {
 
     @SneakyThrows
     public void testRewrite_whenQueryTokensSupplierNull_thenSetQueryTokensSupplier() {
-        SparseEncodingQueryBuilder sparseEncodingQueryBuilder = new SparseEncodingQueryBuilder().fieldName(FIELD_NAME)
+        NeuralSparseQueryBuilder sparseEncodingQueryBuilder = new NeuralSparseQueryBuilder().fieldName(FIELD_NAME)
             .queryText(QUERY_TEXT)
             .modelId(MODEL_ID);
         Map<String, Float> expectedMap = Map.of("1", 1f, "2", 2f);
@@ -366,7 +366,7 @@ public void testRewrite_whenQueryTokensSupplierNull_thenSetQueryTokensSupplier()
             listener.onResponse(List.of(Map.of("response", List.of(expectedMap))));
             return null;
         }).when(mlCommonsClientAccessor).inferenceSentencesWithMapResult(any(), any(), any());
-        SparseEncodingQueryBuilder.initialize(mlCommonsClientAccessor);
+        NeuralSparseQueryBuilder.initialize(mlCommonsClientAccessor);
 
         final CountDownLatch inProgressLatch = new CountDownLatch(1);
         QueryRewriteContext queryRewriteContext = mock(QueryRewriteContext.class);
@@ -382,15 +382,15 @@ public void testRewrite_whenQueryTokensSupplierNull_thenSetQueryTokensSupplier()
             return null;
         }).when(queryRewriteContext).registerAsyncAction(any());
 
-        SparseEncodingQueryBuilder queryBuilder = (SparseEncodingQueryBuilder) sparseEncodingQueryBuilder.doRewrite(queryRewriteContext);
+        NeuralSparseQueryBuilder queryBuilder = (NeuralSparseQueryBuilder) sparseEncodingQueryBuilder.doRewrite(queryRewriteContext);
         assertNotNull(queryBuilder.queryTokensSupplier());
         assertTrue(inProgressLatch.await(5, TimeUnit.SECONDS));
         assertEquals(expectedMap, queryBuilder.queryTokensSupplier().get());
     }
 
     @SneakyThrows
     public void testRewrite_whenQueryTokensSupplierSet_thenReturnSelf() {
-        SparseEncodingQueryBuilder sparseEncodingQueryBuilder = new SparseEncodingQueryBuilder().fieldName(FIELD_NAME)
+        NeuralSparseQueryBuilder sparseEncodingQueryBuilder = new NeuralSparseQueryBuilder().fieldName(FIELD_NAME)
             .queryText(QUERY_TEXT)
             .modelId(MODEL_ID)
             .queryTokensSupplier(QUERY_TOKENS_SUPPLIER);