Correct NeuralQueryBuilder doEquals() and doHashCode().

CHANGELOG.md

@@ -27,6 +27,7 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 - Address inconsistent scoring in hybrid query results ([#998](https://github.com/opensearch-project/neural-search/pull/998))
 - Fix bug where ingested document has list of nested objects ([#1040](https://github.com/opensearch-project/neural-search/pull/1040))
 - Fixed document source and score field mismatch in sorted hybrid queries ([#1043](https://github.com/opensearch-project/neural-search/pull/1043))
+- Update NeuralQueryBuilder doEquals() and doHashCode() to cater the missing parameters information ([#1045](https://github.com/opensearch-project/neural-search/pull/1045)).
 - Fix bug where embedding is missing when ingested document has "." in field name, and mismatches fieldMap config ([#1062](https://github.com/opensearch-project/neural-search/pull/1062))
 ### Infrastructure
 ### Documentation

src/main/java/org/opensearch/neuralsearch/common/MinClusterVersionUtil.java

@@ -14,6 +14,7 @@
 import static org.opensearch.knn.index.query.KNNQueryBuilder.MAX_DISTANCE_FIELD;
 import static org.opensearch.knn.index.query.KNNQueryBuilder.MIN_SCORE_FIELD;
 import static org.opensearch.neuralsearch.query.NeuralQueryBuilder.MODEL_ID_FIELD;
+import static org.opensearch.neuralsearch.query.NeuralQueryBuilder.QUERY_IMAGE_FIELD;
 
 /**
  * A util class which holds the logic to determine the min version supported by the request parameters
@@ -22,12 +23,14 @@ public final class MinClusterVersionUtil {
 
     private static final Version MINIMAL_SUPPORTED_VERSION_DEFAULT_MODEL_ID = Version.V_2_11_0;
     private static final Version MINIMAL_SUPPORTED_VERSION_RADIAL_SEARCH = Version.V_2_14_0;
+    private static final Version MINIMAL_SUPPORTED_VERSION_QUERY_IMAGE_FIX = Version.V_2_19_0;
 
     // Note this minimal version will act as a override
     private static final Map<String, Version> MINIMAL_VERSION_NEURAL = ImmutableMap.<String, Version>builder()
         .put(MODEL_ID_FIELD.getPreferredName(), MINIMAL_SUPPORTED_VERSION_DEFAULT_MODEL_ID)
         .put(MAX_DISTANCE_FIELD.getPreferredName(), MINIMAL_SUPPORTED_VERSION_RADIAL_SEARCH)
         .put(MIN_SCORE_FIELD.getPreferredName(), MINIMAL_SUPPORTED_VERSION_RADIAL_SEARCH)
+        .put(QUERY_IMAGE_FIELD.getPreferredName(), MINIMAL_SUPPORTED_VERSION_QUERY_IMAGE_FIX)
         .build();
 
     public static boolean isClusterOnOrAfterMinReqVersionForDefaultModelIdSupport() {

src/main/java/org/opensearch/neuralsearch/query/HybridQueryBuilder.java

@@ -51,8 +51,6 @@ public final class HybridQueryBuilder extends AbstractQueryBuilder<HybridQueryBu
 
     private final List<QueryBuilder> queries = new ArrayList<>();
 
-    private String fieldName;
-
     static final int MAX_NUMBER_OF_SUB_QUERIES = 5;
 
     public HybridQueryBuilder(StreamInput in) throws IOException {
@@ -255,7 +253,6 @@ protected boolean doEquals(HybridQueryBuilder obj) {
             return false;
         }
         EqualsBuilder equalsBuilder = new EqualsBuilder();
-        equalsBuilder.append(fieldName, obj.fieldName);
         equalsBuilder.append(queries, obj.queries);
         return equalsBuilder.isEquals();
     }

src/main/java/org/opensearch/neuralsearch/query/NeuralQueryBuilder.java

@@ -18,14 +18,14 @@
 import static org.opensearch.neuralsearch.processor.TextImageEmbeddingProcessor.INPUT_TEXT;
 
 import java.io.IOException;
+import java.util.Arrays;
 import java.util.HashMap;
 import java.util.Map;
 import java.util.Objects;
 import java.util.function.Supplier;
 
 import org.apache.commons.lang.StringUtils;
 import org.apache.commons.lang.builder.EqualsBuilder;
-import org.apache.commons.lang.builder.HashCodeBuilder;
 import org.apache.lucene.search.Query;
 import org.opensearch.common.SetOnce;
 import org.opensearch.core.ParseField;
@@ -76,8 +76,7 @@
     @VisibleForTesting
     static final ParseField QUERY_TEXT_FIELD = new ParseField("query_text");
 
-    @VisibleForTesting
-    static final ParseField QUERY_IMAGE_FIELD = new ParseField("query_image");
+    public static final ParseField QUERY_IMAGE_FIELD = new ParseField("query_image");
 
     public static final ParseField MODEL_ID_FIELD = new ParseField("model_id");
 
@@ -236,7 +235,16 @@
     public NeuralQueryBuilder(StreamInput in) throws IOException {
         super(in);
         this.fieldName = in.readString();
-        this.queryText = in.readString();
+        // The query image field was introduced since v2.11.0 through the
+        // https://github.com/opensearch-project/neural-search/pull/359 but at that time we didn't add it to
+        // NeuralQueryBuilder(StreamInput in) and doWriteTo(StreamOutput out) function. The fix will be
+        // introduced in v2.19.0 so we need this check for the backward compatibility.
+        if (isClusterOnOrAfterMinReqVersion(QUERY_IMAGE_FIELD.getPreferredName())) {
+            this.queryText = in.readOptionalString();
+            this.queryImage = in.readOptionalString();
+        } else {
+            this.queryText = in.readString();
+        }
         // If cluster version is on or after 2.11 then default model Id support is enabled
         if (isClusterOnOrAfterMinReqVersionForDefaultModelIdSupport()) {
             this.modelId = in.readOptionalString();
@@ -265,7 +273,16 @@
     @Override
     protected void doWriteTo(StreamOutput out) throws IOException {
         out.writeString(this.fieldName);
-        out.writeString(this.queryText);
+        // The query image field was introduced since v2.11.0 through the
+        // https://github.com/opensearch-project/neural-search/pull/359 but at that time we didn't add it to
+        // NeuralQueryBuilder(StreamInput in) and doWriteTo(StreamOutput out) function. The fix will be
+        // introduced in v2.19.0 so we need this check for the backward compatibility.
+        if (isClusterOnOrAfterMinReqVersion(QUERY_IMAGE_FIELD.getPreferredName())) {
+            out.writeOptionalString(this.queryText);
+            out.writeOptionalString(this.queryImage);
+        } else {
+            out.writeString(this.queryText);
+        }
         // If cluster version is on or after 2.11 then default model Id support is enabled
         if (isClusterOnOrAfterMinReqVersionForDefaultModelIdSupport()) {
             out.writeOptionalString(this.modelId);
@@ -285,6 +302,7 @@
         if (isClusterOnOrAfterMinReqVersion(EXPAND_NESTED_FIELD.getPreferredName())) {
             out.writeOptionalBoolean(this.expandNested);
         }
+
         if (isClusterOnOrAfterMinReqVersion(METHOD_PARAMS_FIELD.getPreferredName())) {
             MethodParametersParser.streamOutput(out, methodParameters, MinClusterVersionUtil::isClusterOnOrAfterMinReqVersion);
         }
@@ -295,7 +313,12 @@
     protected void doXContent(XContentBuilder xContentBuilder, Params params) throws IOException {
         xContentBuilder.startObject(NAME);
         xContentBuilder.startObject(fieldName);
-        xContentBuilder.field(QUERY_TEXT_FIELD.getPreferredName(), queryText);
+        if (Objects.nonNull(queryText)) {
+            xContentBuilder.field(QUERY_TEXT_FIELD.getPreferredName(), queryText);
+        }
+        if (Objects.nonNull(queryImage)) {
+            xContentBuilder.field(QUERY_IMAGE_FIELD.getPreferredName(), queryImage);
+        }
         if (Objects.nonNull(modelId)) {
             xContentBuilder.field(MODEL_ID_FIELD.getPreferredName(), modelId);
         }
@@ -501,15 +524,39 @@
         EqualsBuilder equalsBuilder = new EqualsBuilder();
         equalsBuilder.append(fieldName, obj.fieldName);
         equalsBuilder.append(queryText, obj.queryText);
+        equalsBuilder.append(queryImage, obj.queryImage);
         equalsBuilder.append(modelId, obj.modelId);
         equalsBuilder.append(k, obj.k);
+        equalsBuilder.append(maxDistance, obj.maxDistance);
+        equalsBuilder.append(minScore, obj.minScore);
+        equalsBuilder.append(expandNested, obj.expandNested);
+        equalsBuilder.append(getVector(vectorSupplier), getVector(obj.vectorSupplier));
         equalsBuilder.append(filter, obj.filter);
+        equalsBuilder.append(methodParameters, obj.methodParameters);
+        equalsBuilder.append(rescoreContext, obj.rescoreContext);
         return equalsBuilder.isEquals();
     }
 
     @Override
     protected int doHashCode() {
-        return new HashCodeBuilder().append(fieldName).append(queryText).append(modelId).append(k).toHashCode();
+        return Objects.hash(
+            fieldName,
+            queryText,
+            queryImage,
+            modelId,
+            k,
+            maxDistance,
+            minScore,
+            expandNested,
+            Arrays.hashCode(getVector(vectorSupplier)),
+            filter,
+            methodParameters,
+            rescoreContext
+        );
+    }
+
+    private float[] getVector(final Supplier<float[]> vectorSupplier) {
+        return Objects.isNull(vectorSupplier) ? null : vectorSupplier.get();
     }
 
     @Override

src/test/java/org/opensearch/neuralsearch/query/HybridQueryBuilderTests.java

@@ -477,7 +477,6 @@ public void testStreams_whenWrittingToStream_thenSuccessful() {
             .queryText(QUERY_TEXT)
             .modelId(MODEL_ID)
             .k(K)
-            .vectorSupplier(TEST_VECTOR_SUPPLIER)
             .build();
 
         original.add(neuralQueryBuilder);