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NeuralQueryBuilderTests.java
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/*
* Copyright OpenSearch Contributors
* SPDX-License-Identifier: Apache-2.0
*/
package org.opensearch.neuralsearch.query;
import static org.mockito.ArgumentMatchers.any;
import static org.mockito.ArgumentMatchers.argThat;
import static org.mockito.ArgumentMatchers.isA;
import static org.mockito.Mockito.doAnswer;
import static org.mockito.Mockito.mock;
import static org.opensearch.core.xcontent.ToXContent.EMPTY_PARAMS;
import static org.opensearch.index.query.AbstractQueryBuilder.BOOST_FIELD;
import static org.opensearch.index.query.AbstractQueryBuilder.NAME_FIELD;
import static org.opensearch.knn.index.query.KNNQueryBuilder.EXPAND_NESTED_FIELD;
import static org.opensearch.knn.index.query.KNNQueryBuilder.FILTER_FIELD;
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.knn.index.query.KNNQueryBuilder.RESCORE_FIELD;
import static org.opensearch.knn.index.query.KNNQueryBuilder.RESCORE_OVERSAMPLE_FIELD;
import static org.opensearch.neuralsearch.util.TestUtils.DELTA_FOR_FLOATS_ASSERTION;
import static org.opensearch.neuralsearch.util.TestUtils.xContentBuilderToMap;
import static org.opensearch.neuralsearch.query.NeuralQueryBuilder.K_FIELD;
import static org.opensearch.neuralsearch.query.NeuralQueryBuilder.MODEL_ID_FIELD;
import static org.opensearch.neuralsearch.query.NeuralQueryBuilder.NAME;
import static org.opensearch.neuralsearch.query.NeuralQueryBuilder.QUERY_IMAGE_FIELD;
import static org.opensearch.neuralsearch.query.NeuralQueryBuilder.QUERY_TEXT_FIELD;
import java.io.IOException;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.TimeUnit;
import java.util.function.BiConsumer;
import java.util.function.Supplier;
import org.opensearch.Version;
import org.opensearch.transport.client.Client;
import org.opensearch.cluster.service.ClusterService;
import org.opensearch.common.io.stream.BytesStreamOutput;
import org.opensearch.common.xcontent.XContentFactory;
import org.opensearch.core.ParseField;
import org.opensearch.core.action.ActionListener;
import org.opensearch.core.common.ParsingException;
import org.opensearch.core.common.bytes.BytesReference;
import org.opensearch.core.common.io.stream.FilterStreamInput;
import org.opensearch.core.common.io.stream.NamedWriteableAwareStreamInput;
import org.opensearch.core.common.io.stream.NamedWriteableRegistry;
import org.opensearch.core.xcontent.NamedXContentRegistry;
import org.opensearch.core.xcontent.ToXContent;
import org.opensearch.core.xcontent.XContentBuilder;
import org.opensearch.core.xcontent.XContentParser;
import org.opensearch.index.query.MatchAllQueryBuilder;
import org.opensearch.index.query.MatchNoneQueryBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryRewriteContext;
import org.opensearch.index.query.QueryShardContext;
import org.opensearch.knn.index.query.rescore.RescoreContext;
import org.opensearch.neuralsearch.common.MinClusterVersionUtil;
import org.opensearch.neuralsearch.common.VectorUtil;
import org.opensearch.neuralsearch.ml.MLCommonsClientAccessor;
import org.opensearch.neuralsearch.util.NeuralSearchClusterTestUtils;
import org.opensearch.neuralsearch.util.NeuralSearchClusterUtil;
import org.opensearch.test.OpenSearchTestCase;
import lombok.SneakyThrows;
public class NeuralQueryBuilderTests extends OpenSearchTestCase {
private static final String FIELD_NAME = "testField";
private static final String QUERY_TEXT = "Hello world!";
private static final String IMAGE_TEXT = "base641234567890";
private static final String MODEL_ID = "mfgfgdsfgfdgsde";
private static final Integer K = 10;
private static final Float MAX_DISTANCE = 1.0f;
private static final Float MIN_SCORE = 0.985f;
private static final float BOOST = 1.8f;
private static final String QUERY_NAME = "queryName";
private static final Supplier<float[]> TEST_VECTOR_SUPPLIER = () -> new float[10];
private static final QueryBuilder TEST_FILTER = new MatchAllQueryBuilder();
@SneakyThrows
public void testFromXContent_whenBuiltWithDefaults_thenBuildSuccessfully() {
/*
{
"VECTOR_FIELD": {
"query_text": "string",
"query_image": "string",
"model_id": "string",
"k": int
}
}
*/
setUpClusterService(Version.V_2_10_0);
XContentBuilder xContentBuilder = XContentFactory.jsonBuilder()
.startObject()
.startObject(FIELD_NAME)
.field(QUERY_TEXT_FIELD.getPreferredName(), QUERY_TEXT)
.field(MODEL_ID_FIELD.getPreferredName(), MODEL_ID)
.field(K_FIELD.getPreferredName(), K)
.endObject()
.endObject();
XContentParser contentParser = createParser(xContentBuilder);
contentParser.nextToken();
NeuralQueryBuilder neuralQueryBuilder = NeuralQueryBuilder.fromXContent(contentParser);
assertEquals(FIELD_NAME, neuralQueryBuilder.fieldName());
assertEquals(QUERY_TEXT, neuralQueryBuilder.queryText());
assertEquals(MODEL_ID, neuralQueryBuilder.modelId());
assertEquals(K, neuralQueryBuilder.k());
}
@SneakyThrows
public void testFromXContent_withMethodParameters_thenBuildSuccessfully() {
/*
{
"VECTOR_FIELD": {
"query_text": "string",
"query_image": "string",
"model_id": "string",
"k": int
}
}
*/
setUpClusterService(Version.V_2_10_0);
XContentBuilder xContentBuilder = XContentFactory.jsonBuilder()
.startObject()
.startObject(FIELD_NAME)
.field(QUERY_TEXT_FIELD.getPreferredName(), QUERY_TEXT)
.field(MODEL_ID_FIELD.getPreferredName(), MODEL_ID)
.field(K_FIELD.getPreferredName(), K)
.startObject("method_parameters")
.field("ef_search", 1000)
.endObject()
.endObject()
.endObject();
XContentParser contentParser = createParser(xContentBuilder);
contentParser.nextToken();
NeuralQueryBuilder neuralQueryBuilder = NeuralQueryBuilder.fromXContent(contentParser);
assertEquals(Map.of("ef_search", 1000), neuralQueryBuilder.methodParameters());
assertEquals(FIELD_NAME, neuralQueryBuilder.fieldName());
assertEquals(QUERY_TEXT, neuralQueryBuilder.queryText());
assertEquals(MODEL_ID, neuralQueryBuilder.modelId());
assertEquals(K, neuralQueryBuilder.k());
assertNull(neuralQueryBuilder.rescoreContext());
}
@SneakyThrows
public void testFromXContent_withRescoreContext_thenBuildSuccessfully() {
/*
{
"VECTOR_FIELD": {
"query_text": "string",
"query_image": "string",
"model_id": "string",
"k": int,
"rescore": {
"oversample_factor" : int
}
}
}
*/
setUpClusterService(Version.V_2_10_0);
XContentBuilder xContentBuilder = XContentFactory.jsonBuilder()
.startObject()
.startObject(FIELD_NAME)
.field(QUERY_TEXT_FIELD.getPreferredName(), QUERY_TEXT)
.field(MODEL_ID_FIELD.getPreferredName(), MODEL_ID)
.field(K_FIELD.getPreferredName(), K)
.startObject(RESCORE_FIELD.getPreferredName())
.field(RESCORE_OVERSAMPLE_FIELD.getPreferredName(), 1)
.endObject()
.endObject()
.endObject();
XContentParser contentParser = createParser(xContentBuilder);
contentParser.nextToken();
NeuralQueryBuilder neuralQueryBuilder = NeuralQueryBuilder.fromXContent(contentParser);
assertEquals(FIELD_NAME, neuralQueryBuilder.fieldName());
assertEquals(QUERY_TEXT, neuralQueryBuilder.queryText());
assertEquals(MODEL_ID, neuralQueryBuilder.modelId());
assertEquals(K, neuralQueryBuilder.k());
assertEquals(
RescoreContext.getDefault().getOversampleFactor(),
neuralQueryBuilder.rescoreContext().getOversampleFactor(),
DELTA_FOR_FLOATS_ASSERTION
);
assertNull(neuralQueryBuilder.methodParameters());
}
@SneakyThrows
public void testFromXContent_whenBuiltWithOptionals_thenBuildSuccessfully() {
/*
{
"VECTOR_FIELD": {
"query_text": "string",
"model_id": "string",
"k": int,
"boost": 10.0,
"_name": "something",
"expandNestedDocs": true
}
}
*/
setUpClusterService(Version.CURRENT);
XContentBuilder xContentBuilder = XContentFactory.jsonBuilder()
.startObject()
.startObject(FIELD_NAME)
.field(QUERY_TEXT_FIELD.getPreferredName(), QUERY_TEXT)
.field(QUERY_IMAGE_FIELD.getPreferredName(), IMAGE_TEXT)
.field(MODEL_ID_FIELD.getPreferredName(), MODEL_ID)
.field(K_FIELD.getPreferredName(), K)
.field(BOOST_FIELD.getPreferredName(), BOOST)
.field(NAME_FIELD.getPreferredName(), QUERY_NAME)
.field(EXPAND_NESTED_FIELD.getPreferredName(), Boolean.TRUE)
.endObject()
.endObject();
XContentParser contentParser = createParser(xContentBuilder);
contentParser.nextToken();
NeuralQueryBuilder neuralQueryBuilder = NeuralQueryBuilder.fromXContent(contentParser);
assertEquals(FIELD_NAME, neuralQueryBuilder.fieldName());
assertEquals(QUERY_TEXT, neuralQueryBuilder.queryText());
assertEquals(IMAGE_TEXT, neuralQueryBuilder.queryImage());
assertEquals(MODEL_ID, neuralQueryBuilder.modelId());
assertEquals(K, neuralQueryBuilder.k());
assertEquals(BOOST, neuralQueryBuilder.boost(), 0.0);
assertEquals(QUERY_NAME, neuralQueryBuilder.queryName());
assertEquals(Boolean.TRUE, neuralQueryBuilder.expandNested());
}
@SneakyThrows
public void testFromXContent_whenBuiltWithFilter_thenBuildSuccessfully() {
/*
{
"VECTOR_FIELD": {
"query_text": "string",
"model_id": "string",
"k": int,
"boost": 10.0,
"_name": "something",
"filter": {
"match_all": {}
}
}
}
*/
setUpClusterService(Version.CURRENT);
XContentBuilder xContentBuilder = XContentFactory.jsonBuilder()
.startObject()
.startObject(FIELD_NAME)
.field(QUERY_TEXT_FIELD.getPreferredName(), QUERY_TEXT)
.field(MODEL_ID_FIELD.getPreferredName(), MODEL_ID)
.field(K_FIELD.getPreferredName(), K)
.field(BOOST_FIELD.getPreferredName(), BOOST)
.field(NAME_FIELD.getPreferredName(), QUERY_NAME)
.field(FILTER_FIELD.getPreferredName(), TEST_FILTER)
.endObject()
.endObject();
NamedXContentRegistry namedXContentRegistry = new NamedXContentRegistry(
List.of(
new NamedXContentRegistry.Entry(
QueryBuilder.class,
new ParseField(MatchAllQueryBuilder.NAME),
MatchAllQueryBuilder::fromXContent
)
)
);
XContentParser contentParser = createParser(
namedXContentRegistry,
xContentBuilder.contentType().xContent(),
BytesReference.bytes(xContentBuilder)
);
contentParser.nextToken();
NeuralQueryBuilder neuralQueryBuilder = NeuralQueryBuilder.fromXContent(contentParser);
assertEquals(FIELD_NAME, neuralQueryBuilder.fieldName());
assertEquals(QUERY_TEXT, neuralQueryBuilder.queryText());
assertEquals(MODEL_ID, neuralQueryBuilder.modelId());
assertEquals(K, neuralQueryBuilder.k());
assertEquals(BOOST, neuralQueryBuilder.boost(), 0.0);
assertEquals(QUERY_NAME, neuralQueryBuilder.queryName());
assertEquals(TEST_FILTER, neuralQueryBuilder.filter());
}
@SneakyThrows
public void testFromXContent_whenBuildWithMultipleRootFields_thenFail() {
/*
{
"VECTOR_FIELD": {
"query_text": "string",
"model_id": "string",
"k": int,
"boost": 10.0,
"_name": "something",
},
"invalid": 10
}
*/
XContentBuilder xContentBuilder = XContentFactory.jsonBuilder()
.startObject()
.startObject(FIELD_NAME)
.field(QUERY_TEXT_FIELD.getPreferredName(), QUERY_TEXT)
.field(MODEL_ID_FIELD.getPreferredName(), MODEL_ID)
.field(K_FIELD.getPreferredName(), K)
.field(BOOST_FIELD.getPreferredName(), BOOST)
.field(NAME_FIELD.getPreferredName(), QUERY_NAME)
.endObject()
.field("invalid", 10)
.endObject();
XContentParser contentParser = createParser(xContentBuilder);
contentParser.nextToken();
expectThrows(ParsingException.class, () -> NeuralQueryBuilder.fromXContent(contentParser));
}
@SneakyThrows
public void testFromXContent_whenBuildWithMissingParameters_thenFail() {
/*
{
"VECTOR_FIELD": {
}
}
*/
XContentBuilder xContentBuilder = XContentFactory.jsonBuilder().startObject().startObject(FIELD_NAME).endObject().endObject();
XContentParser contentParser = createParser(xContentBuilder);
contentParser.nextToken();
expectThrows(IllegalArgumentException.class, () -> NeuralQueryBuilder.fromXContent(contentParser));
}
@SneakyThrows
public void testFromXContent_whenBuildWithDuplicateParameters_thenFail() {
/*
{
"VECTOR_FIELD": {
"query_text": "string",
"query_text": "string",
"model_id": "string",
"model_id": "string",
"k": int,
"k": int
}
}
*/
XContentBuilder xContentBuilder = XContentFactory.jsonBuilder()
.startObject()
.startObject(FIELD_NAME)
.field(QUERY_TEXT_FIELD.getPreferredName(), QUERY_TEXT)
.field(MODEL_ID_FIELD.getPreferredName(), MODEL_ID)
.field(K_FIELD.getPreferredName(), K)
.field(QUERY_TEXT_FIELD.getPreferredName(), QUERY_TEXT)
.field(MODEL_ID_FIELD.getPreferredName(), MODEL_ID)
.field(K_FIELD.getPreferredName(), K)
.endObject()
.endObject();
XContentParser contentParser = createParser(xContentBuilder);
contentParser.nextToken();
expectThrows(IOException.class, () -> NeuralQueryBuilder.fromXContent(contentParser));
}
@SneakyThrows
public void testFromXContent_whenNoQueryField_thenFail() {
/*
{
"VECTOR_FIELD": {
"model_id": "string",
"model_id": "string",
"k": int,
"k": int
}
}
*/
XContentBuilder xContentBuilder = XContentFactory.jsonBuilder()
.startObject()
.startObject(FIELD_NAME)
.field(MODEL_ID_FIELD.getPreferredName(), MODEL_ID)
.field(K_FIELD.getPreferredName(), K)
.field(MODEL_ID_FIELD.getPreferredName(), MODEL_ID)
.field(K_FIELD.getPreferredName(), K)
.endObject()
.endObject();
XContentParser contentParser = createParser(xContentBuilder);
contentParser.nextToken();
expectThrows(IOException.class, () -> NeuralQueryBuilder.fromXContent(contentParser));
}
@SneakyThrows
public void testFromXContent_whenBuiltWithInvalidFilter_thenFail() {
/*
{
"VECTOR_FIELD": {
"query_text": "string",
"model_id": "string",
"k": int,
"boost": 10.0,
"filter": 12
}
}
*/
XContentBuilder xContentBuilder = XContentFactory.jsonBuilder()
.startObject()
.startObject(FIELD_NAME)
.field(QUERY_TEXT_FIELD.getPreferredName(), QUERY_TEXT)
.field(MODEL_ID_FIELD.getPreferredName(), MODEL_ID)
.field(K_FIELD.getPreferredName(), K)
.field(BOOST_FIELD.getPreferredName(), BOOST)
.field(NAME_FIELD.getPreferredName(), QUERY_NAME)
.field(FILTER_FIELD.getPreferredName(), 12)
.endObject()
.endObject();
XContentParser contentParser = createParser(xContentBuilder);
contentParser.nextToken();
expectThrows(ParsingException.class, () -> NeuralQueryBuilder.fromXContent(contentParser));
}
@SneakyThrows
public void testBuilderInstantiation_whenBuiltWithRequiredFields_thenBuildSuccessfully() {
/*
{
"VECTOR_FIELD": {
"query_text": "string",
"query_image": "string",
"model_id": "string",
"k": int
}
}
*/
NeuralQueryBuilder neuralQueryBuilder = NeuralQueryBuilder.builder().fieldName(FIELD_NAME).queryText(QUERY_TEXT).build();
assertEquals(FIELD_NAME, neuralQueryBuilder.fieldName());
assertEquals(QUERY_TEXT, neuralQueryBuilder.queryText());
}
@SneakyThrows
public void testBuilderInstantiation_whenBuiltWithOptionalFields_thenBuildSuccessfully() {
/*
{
"VECTOR_FIELD": {
"query_text": "string",
"model_id": "string",
"k": int,
"boost": 10.0,
"_name": "something",
"expandNestedDocs": true
}
}
*/
NeuralQueryBuilder neuralQueryBuilder = NeuralQueryBuilder.builder()
.fieldName(FIELD_NAME)
.queryText(QUERY_TEXT)
.queryImage(IMAGE_TEXT)
.modelId(MODEL_ID)
.k(K)
.expandNested(Boolean.TRUE)
.boost(BOOST)
.queryName(QUERY_NAME)
.build();
assertEquals(FIELD_NAME, neuralQueryBuilder.fieldName());
assertEquals(QUERY_TEXT, neuralQueryBuilder.queryText());
assertEquals(IMAGE_TEXT, neuralQueryBuilder.queryImage());
assertEquals(MODEL_ID, neuralQueryBuilder.modelId());
assertEquals(K, neuralQueryBuilder.k());
assertEquals(BOOST, neuralQueryBuilder.boost(), 0.0);
assertEquals(QUERY_NAME, neuralQueryBuilder.queryName());
assertEquals(Boolean.TRUE, neuralQueryBuilder.expandNested());
}
@SneakyThrows
public void testBuilderInstantiation_whenMissingFieldName_thenFail() {
/*
{
null : {
"query_text": "string",
"model_id": "string",
"k": int
}
}
*/
IllegalArgumentException exception = expectThrows(
IllegalArgumentException.class,
() -> NeuralQueryBuilder.builder().queryText(QUERY_TEXT).modelId(MODEL_ID).k(K).build()
);
assertEquals("Field name must be provided for neural query", exception.getMessage());
}
@SneakyThrows
public void testBuilderInstantiation_whenMissingBothQueryTextAndQueryImage_thenFail() {
/*
{
"VECTOR_FIELD": {
"model_id": "string",
"k": int
}
}
*/
IllegalArgumentException exception = expectThrows(
IllegalArgumentException.class,
() -> NeuralQueryBuilder.builder().fieldName(FIELD_NAME).modelId(MODEL_ID).k(K).build()
);
assertEquals("Either query text or image text must be provided for neural query", exception.getMessage());
}
@SuppressWarnings("unchecked")
@SneakyThrows
public void testToXContent() {
NeuralQueryBuilder neuralQueryBuilder = NeuralQueryBuilder.builder()
.fieldName(FIELD_NAME)
.modelId(MODEL_ID)
.queryText(QUERY_TEXT)
.k(K)
.expandNested(Boolean.TRUE)
.filter(TEST_FILTER)
.build();
XContentBuilder builder = XContentFactory.jsonBuilder();
builder = neuralQueryBuilder.toXContent(builder, ToXContent.EMPTY_PARAMS);
Map<String, Object> out = xContentBuilderToMap(builder);
Object outer = out.get(NAME);
if (!(outer instanceof Map)) {
fail("neural does not map to nested object");
}
Map<String, Object> outerMap = (Map<String, Object>) outer;
assertEquals(1, outerMap.size());
assertTrue(outerMap.containsKey(FIELD_NAME));
Object secondInner = outerMap.get(FIELD_NAME);
if (!(secondInner instanceof Map)) {
fail("field name does not map to nested object");
}
Map<String, Object> secondInnerMap = (Map<String, Object>) secondInner;
assertEquals(MODEL_ID, secondInnerMap.get(MODEL_ID_FIELD.getPreferredName()));
assertEquals(QUERY_TEXT, secondInnerMap.get(QUERY_TEXT_FIELD.getPreferredName()));
assertEquals(K, secondInnerMap.get(K_FIELD.getPreferredName()));
assertEquals(Boolean.TRUE, secondInnerMap.get(EXPAND_NESTED_FIELD.getPreferredName()));
XContentBuilder xContentBuilder = XContentFactory.jsonBuilder();
assertEquals(
xContentBuilderToMap(TEST_FILTER.toXContent(xContentBuilder, EMPTY_PARAMS)),
secondInnerMap.get(FILTER_FIELD.getPreferredName())
);
}
@SneakyThrows
public void testStreams_whenClusterServiceWithDifferentVersions() {
setUpClusterService(Version.V_2_10_0);
testStreams();
setUpClusterService(Version.CURRENT);
testStreams();
}
@SneakyThrows
private void testStreams() {
NeuralQueryBuilder original = NeuralQueryBuilder.builder()
.fieldName(FIELD_NAME)
.queryText(QUERY_TEXT)
.modelId(MODEL_ID)
.k(K)
.boost(BOOST)
.queryName(QUERY_NAME)
.filter(TEST_FILTER)
.build();
if (MinClusterVersionUtil.isClusterOnOrAfterMinReqVersion(QUERY_IMAGE_FIELD.getPreferredName())) {
original.queryImage(IMAGE_TEXT);
}
BytesStreamOutput streamOutput = new BytesStreamOutput();
original.writeTo(streamOutput);
FilterStreamInput filterStreamInput = new NamedWriteableAwareStreamInput(
streamOutput.bytes().streamInput(),
new NamedWriteableRegistry(
List.of(new NamedWriteableRegistry.Entry(QueryBuilder.class, MatchAllQueryBuilder.NAME, MatchAllQueryBuilder::new))
)
);
NeuralQueryBuilder copy = new NeuralQueryBuilder(filterStreamInput);
assertEquals(original, copy);
}
public void testHashAndEquals() {
final String fieldName2 = "field 2";
final String queryText2 = "query text 2";
final String queryImage2 = "query image 2";
final String modelId2 = "model-2";
final float boost2 = 3.8f;
final String queryName2 = "query-2";
final int k2 = 2;
final float minScore1 = 1f;
final float minScore2 = 2f;
final float maxDistance1 = 10f;
final float maxDistance2 = 20f;
final Supplier<float[]> vectorSupplier2 = () -> new float[] { 1.f };
final Supplier<float[]> vectorSupplier3 = () -> new float[] { 3.f };
final Map<String, ?> methodParameters2 = Map.of("ef_search", 100);
final Map<String, ?> methodParameters3 = Map.of("ef_search", 101);
final RescoreContext rescoreContext2 = RescoreContext.getDefault();
final RescoreContext rescoreContext3 = RescoreContext.builder().build();
final QueryBuilder filter2 = new MatchNoneQueryBuilder();
final NeuralQueryBuilder neuralQueryBuilder_baseline = getBaselineNeuralQueryBuilder();
// Identical to neuralQueryBuilder_baseline
final NeuralQueryBuilder neuralQueryBuilder_baselineCopy = getBaselineNeuralQueryBuilder();
neuralQueryBuilder_baselineCopy.vectorSupplier(vectorSupplier2);
neuralQueryBuilder_baselineCopy.methodParameters(methodParameters2);
neuralQueryBuilder_baselineCopy.rescoreContext(rescoreContext2);
// Identical to neuralQueryBuilder_baseline except diff field name
final NeuralQueryBuilder neuralQueryBuilder_diffFieldName = getBaselineNeuralQueryBuilder();
neuralQueryBuilder_diffFieldName.fieldName(fieldName2);
// Identical to neuralQueryBuilder_baseline except diff query text
final NeuralQueryBuilder neuralQueryBuilder_diffQueryText = getBaselineNeuralQueryBuilder();
neuralQueryBuilder_diffQueryText.queryText(queryText2);
// Identical to neuralQueryBuilder_baseline except diff image text
final NeuralQueryBuilder neuralQueryBuilder_diffImageText = getBaselineNeuralQueryBuilder();
neuralQueryBuilder_diffImageText.queryImage(queryImage2);
// Identical to neuralQueryBuilder_baseline except diff model ID
final NeuralQueryBuilder neuralQueryBuilder_diffModelId = getBaselineNeuralQueryBuilder();
neuralQueryBuilder_diffModelId.modelId(modelId2);
// Identical to neuralQueryBuilder_baseline except diff k
final NeuralQueryBuilder neuralQueryBuilder_diffK = getBaselineNeuralQueryBuilder();
neuralQueryBuilder_diffK.k(k2);
// Identical to neuralQueryBuilder_baseline except diff maxDistance
final NeuralQueryBuilder neuralQueryBuilder_baseline_withMaxDistance = getBaselineNeuralQueryBuilder();
neuralQueryBuilder_baseline_withMaxDistance.k(null);
neuralQueryBuilder_baseline_withMaxDistance.maxDistance(maxDistance1);
final NeuralQueryBuilder neuralQueryBuilder_diffMaxDistance = getBaselineNeuralQueryBuilder();
neuralQueryBuilder_diffMaxDistance.k(null);
neuralQueryBuilder_diffMaxDistance.maxDistance(maxDistance2);
// Identical to neuralQueryBuilder_baseline except diff minScore
final NeuralQueryBuilder neuralQueryBuilder_baseline_withMinScore = getBaselineNeuralQueryBuilder();
neuralQueryBuilder_baseline_withMinScore.k(null);
neuralQueryBuilder_baseline_withMinScore.minScore(minScore1);
final NeuralQueryBuilder neuralQueryBuilder_diffMinScore = getBaselineNeuralQueryBuilder();
neuralQueryBuilder_diffMinScore.k(null);
neuralQueryBuilder_diffMinScore.minScore(minScore2);
// Identical to neuralQueryBuilder_baseline except for expandNested
final NeuralQueryBuilder neuralQueryBuilder_diffExpandNested = getBaselineNeuralQueryBuilder();
neuralQueryBuilder_diffExpandNested.expandNested(Boolean.FALSE);
// Identical to neuralQueryBuilder_baseline except for vectorSupplier
final NeuralQueryBuilder neuralQueryBuilder_diffVectorSupplier = getBaselineNeuralQueryBuilder();
neuralQueryBuilder_diffVectorSupplier.vectorSupplier(vectorSupplier3);
// Identical to neuralQueryBuilder_baseline except diff boost
final NeuralQueryBuilder neuralQueryBuilder_diffBoost = getBaselineNeuralQueryBuilder();
neuralQueryBuilder_diffBoost.boost(boost2);
// Identical to neuralQueryBuilder_baseline except diff query name
final NeuralQueryBuilder neuralQueryBuilder_diffQueryName = getBaselineNeuralQueryBuilder();
neuralQueryBuilder_diffQueryName.queryName(queryName2);
// Identical to neuralQueryBuilder_baseline except diff filter
final NeuralQueryBuilder neuralQueryBuilder_diffFilter = getBaselineNeuralQueryBuilder();
neuralQueryBuilder_diffFilter.filter(filter2);
// Identical to neuralQueryBuilder_baseline except diff methodParameters
final NeuralQueryBuilder neuralQueryBuilder_diffMethodParameters = getBaselineNeuralQueryBuilder();
neuralQueryBuilder_diffMethodParameters.methodParameters(methodParameters3);
// Identical to neuralQueryBuilder_baseline except diff rescoreContext
final NeuralQueryBuilder neuralQueryBuilder_diffRescoreContext = getBaselineNeuralQueryBuilder();
neuralQueryBuilder_diffRescoreContext.rescoreContext(rescoreContext3);
assertEquals(neuralQueryBuilder_baseline, neuralQueryBuilder_baseline);
assertEquals(neuralQueryBuilder_baseline.hashCode(), neuralQueryBuilder_baseline.hashCode());
assertEquals(neuralQueryBuilder_baseline, neuralQueryBuilder_baselineCopy);
assertEquals(neuralQueryBuilder_baseline.hashCode(), neuralQueryBuilder_baselineCopy.hashCode());
assertNotEquals(neuralQueryBuilder_baseline, neuralQueryBuilder_diffFieldName);
assertNotEquals(neuralQueryBuilder_baseline.hashCode(), neuralQueryBuilder_diffFieldName.hashCode());
assertNotEquals(neuralQueryBuilder_baseline, neuralQueryBuilder_diffQueryText);
assertNotEquals(neuralQueryBuilder_baseline.hashCode(), neuralQueryBuilder_diffQueryText.hashCode());
assertNotEquals(neuralQueryBuilder_baseline, neuralQueryBuilder_diffImageText);
assertNotEquals(neuralQueryBuilder_baseline.hashCode(), neuralQueryBuilder_diffImageText.hashCode());
assertNotEquals(neuralQueryBuilder_baseline, neuralQueryBuilder_diffModelId);
assertNotEquals(neuralQueryBuilder_baseline.hashCode(), neuralQueryBuilder_diffModelId.hashCode());
assertNotEquals(neuralQueryBuilder_baseline, neuralQueryBuilder_diffK);
assertNotEquals(neuralQueryBuilder_baseline.hashCode(), neuralQueryBuilder_diffK.hashCode());
assertNotEquals(neuralQueryBuilder_baseline_withMaxDistance, neuralQueryBuilder_diffMaxDistance);
assertNotEquals(neuralQueryBuilder_baseline_withMaxDistance.hashCode(), neuralQueryBuilder_diffMaxDistance.hashCode());
assertNotEquals(neuralQueryBuilder_baseline_withMinScore, neuralQueryBuilder_diffMinScore);
assertNotEquals(neuralQueryBuilder_baseline_withMinScore.hashCode(), neuralQueryBuilder_diffMinScore.hashCode());
assertNotEquals(neuralQueryBuilder_baseline, neuralQueryBuilder_diffBoost);
assertNotEquals(neuralQueryBuilder_baseline.hashCode(), neuralQueryBuilder_diffBoost.hashCode());
assertNotEquals(neuralQueryBuilder_baseline, neuralQueryBuilder_diffQueryName);
assertNotEquals(neuralQueryBuilder_baseline.hashCode(), neuralQueryBuilder_diffQueryName.hashCode());
assertNotEquals(neuralQueryBuilder_baseline, neuralQueryBuilder_diffFilter);
assertNotEquals(neuralQueryBuilder_baseline.hashCode(), neuralQueryBuilder_diffFilter.hashCode());
assertNotEquals(neuralQueryBuilder_baseline, neuralQueryBuilder_diffMethodParameters);
assertNotEquals(neuralQueryBuilder_baseline.hashCode(), neuralQueryBuilder_diffMethodParameters.hashCode());
assertNotEquals(neuralQueryBuilder_baseline, neuralQueryBuilder_diffRescoreContext);
assertNotEquals(neuralQueryBuilder_baseline.hashCode(), neuralQueryBuilder_diffRescoreContext.hashCode());
}
private NeuralQueryBuilder getBaselineNeuralQueryBuilder() {
final String fieldName1 = "field 1";
final String queryText1 = "query text 1";
final String queryImage1 = "query image 1";
final String modelId1 = "model-1";
final float boost1 = 1.8f;
final String queryName1 = "query-1";
final int k1 = 1;
final Supplier<float[]> vectorSupplier1 = () -> new float[] { 1.f };
final Map<String, ?> methodParameters1 = Map.of("ef_search", 100);
final RescoreContext rescoreContext1 = RescoreContext.getDefault();
final QueryBuilder filter1 = new MatchAllQueryBuilder();
return NeuralQueryBuilder.builder()
.fieldName(fieldName1)
.queryText(queryText1)
.queryImage(queryImage1)
.modelId(modelId1)
.k(k1)
.boost(boost1)
.queryName(queryName1)
.expandNested(Boolean.TRUE)
.vectorSupplier(vectorSupplier1)
.filter(filter1)
.methodParameters(methodParameters1)
.rescoreContext(rescoreContext1)
.build();
}
@SneakyThrows
public void testRewrite_whenVectorSupplierNull_thenSetVectorSupplier() {
NeuralQueryBuilder neuralQueryBuilder = NeuralQueryBuilder.builder()
.fieldName(FIELD_NAME)
.queryText(QUERY_TEXT)
.modelId(MODEL_ID)
.k(K)
.build();
List<Number> expectedVector = Arrays.asList(1.0f, 2.0f, 3.0f, 4.0f, 5.0f);
MLCommonsClientAccessor mlCommonsClientAccessor = mock(MLCommonsClientAccessor.class);
doAnswer(invocation -> {
ActionListener<List<Number>> listener = invocation.getArgument(1);
listener.onResponse(expectedVector);
return null;
}).when(mlCommonsClientAccessor)
.inferenceSentencesMap(argThat(request -> request.getInputObjects() != null), isA(ActionListener.class));
NeuralQueryBuilder.initialize(mlCommonsClientAccessor);
final CountDownLatch inProgressLatch = new CountDownLatch(1);
QueryRewriteContext queryRewriteContext = mock(QueryRewriteContext.class);
doAnswer(invocation -> {
BiConsumer<Client, ActionListener<?>> biConsumer = invocation.getArgument(0);
biConsumer.accept(
null,
ActionListener.wrap(
response -> inProgressLatch.countDown(),
err -> fail("Failed to set vector supplier: " + err.getMessage())
)
);
return null;
}).when(queryRewriteContext).registerAsyncAction(any());
NeuralQueryBuilder queryBuilder = (NeuralQueryBuilder) neuralQueryBuilder.doRewrite(queryRewriteContext);
assertNotNull(queryBuilder.vectorSupplier());
assertTrue(inProgressLatch.await(5, TimeUnit.SECONDS));
assertArrayEquals(VectorUtil.vectorAsListToArray(expectedVector), queryBuilder.vectorSupplier().get(), 0.0f);
}
@SneakyThrows
public void testRewrite_whenVectorSupplierNullAndQueryTextAndImageTextSet_thenSetVectorSupplier() {
NeuralQueryBuilder neuralQueryBuilder = NeuralQueryBuilder.builder()
.fieldName(FIELD_NAME)
.queryText(QUERY_TEXT)
.queryImage(IMAGE_TEXT)
.modelId(MODEL_ID)
.k(K)
.build();
List<Number> expectedVector = Arrays.asList(1.0f, 2.0f, 3.0f, 4.0f, 5.0f);
MLCommonsClientAccessor mlCommonsClientAccessor = mock(MLCommonsClientAccessor.class);
doAnswer(invocation -> {
ActionListener<List<Number>> listener = invocation.getArgument(1);
listener.onResponse(expectedVector);
return null;
}).when(mlCommonsClientAccessor)
.inferenceSentencesMap(argThat(request -> request.getInputObjects() != null), isA(ActionListener.class));
NeuralQueryBuilder.initialize(mlCommonsClientAccessor);
final CountDownLatch inProgressLatch = new CountDownLatch(1);
QueryRewriteContext queryRewriteContext = mock(QueryRewriteContext.class);
doAnswer(invocation -> {
BiConsumer<Client, ActionListener<?>> biConsumer = invocation.getArgument(0);
biConsumer.accept(
null,
ActionListener.wrap(
response -> inProgressLatch.countDown(),
err -> fail("Failed to set vector supplier: " + err.getMessage())
)
);
return null;
}).when(queryRewriteContext).registerAsyncAction(any());
NeuralQueryBuilder queryBuilder = (NeuralQueryBuilder) neuralQueryBuilder.doRewrite(queryRewriteContext);
assertNotNull(queryBuilder.vectorSupplier());
assertTrue(inProgressLatch.await(5, TimeUnit.SECONDS));
assertArrayEquals(VectorUtil.vectorAsListToArray(expectedVector), queryBuilder.vectorSupplier().get(), 0.0f);
}
public void testRewrite_whenVectorNull_thenReturnCopy() {
Supplier<float[]> nullSupplier = () -> null;
NeuralQueryBuilder neuralQueryBuilder = NeuralQueryBuilder.builder()
.fieldName(FIELD_NAME)
.queryText(QUERY_TEXT)
.queryImage(IMAGE_TEXT)
.modelId(MODEL_ID)
.k(K)
.expandNested(Boolean.TRUE)
.vectorSupplier(nullSupplier)
.build();
QueryBuilder queryBuilder = neuralQueryBuilder.doRewrite(null);
assertEquals(neuralQueryBuilder, queryBuilder);
}
public void testRewrite_whenVectorSupplierAndVectorSet_thenReturnKNNQueryBuilder() {
NeuralQueryBuilder neuralQueryBuilder = NeuralQueryBuilder.builder()
.fieldName(FIELD_NAME)
.queryText(QUERY_TEXT)
.queryImage(IMAGE_TEXT)
.modelId(MODEL_ID)
.k(K)
.expandNested(Boolean.TRUE)
.methodParameters(Map.of("ef_search", 100))
.rescoreContext(RescoreContext.getDefault())
.vectorSupplier(TEST_VECTOR_SUPPLIER)
.build();
NeuralKNNQueryBuilder expected = NeuralKNNQueryBuilder.builder()
.k(K)
.fieldName(neuralQueryBuilder.fieldName())
.methodParameters(neuralQueryBuilder.methodParameters())
.rescoreContext(neuralQueryBuilder.rescoreContext())
.vector(TEST_VECTOR_SUPPLIER.get())
.expandNested(Boolean.TRUE)
.build();
QueryBuilder queryBuilder = neuralQueryBuilder.doRewrite(null);
assertEquals(expected, queryBuilder);
}
public void testRewrite_whenFilterSet_thenKNNQueryBuilderFilterSet() {
NeuralQueryBuilder neuralQueryBuilder = NeuralQueryBuilder.builder()
.fieldName(FIELD_NAME)
.queryText(QUERY_TEXT)
.modelId(MODEL_ID)
.k(K)
.vectorSupplier(TEST_VECTOR_SUPPLIER)
.filter(TEST_FILTER)
.build();
QueryBuilder queryBuilder = neuralQueryBuilder.doRewrite(null);
assertTrue(queryBuilder instanceof NeuralKNNQueryBuilder);
NeuralKNNQueryBuilder neuralKNNQueryBuilder = (NeuralKNNQueryBuilder) queryBuilder;
assertEquals(neuralQueryBuilder.filter(), neuralKNNQueryBuilder.getKnnQueryBuilder().getFilter());
}
public void testQueryCreation_whenCreateQueryWithDoToQuery_thenFail() {
NeuralQueryBuilder neuralQueryBuilder = NeuralQueryBuilder.builder()
.fieldName(FIELD_NAME)
.queryText(QUERY_TEXT)
.modelId(MODEL_ID)
.k(K)
.vectorSupplier(TEST_VECTOR_SUPPLIER)
.filter(TEST_FILTER)
.build();
QueryShardContext queryShardContext = mock(QueryShardContext.class);
UnsupportedOperationException exception = expectThrows(
UnsupportedOperationException.class,
() -> neuralQueryBuilder.doToQuery(queryShardContext)
);
assertEquals("Query cannot be created by NeuralQueryBuilder directly", exception.getMessage());
}
@SneakyThrows
public void testFromXContent_whenBuiltWithDefaults_whenBuiltWithMaxDistance_thenBuildSuccessfully() {
/*
{
"VECTOR_FIELD": {
"query_text": "string",
"query_image": "string",
"model_id": "string",
"max_distance": float
}
}
*/
setUpClusterService(Version.V_2_14_0);
XContentBuilder xContentBuilder = XContentFactory.jsonBuilder()
.startObject()
.startObject(FIELD_NAME)
.field(QUERY_TEXT_FIELD.getPreferredName(), QUERY_TEXT)
.field(MODEL_ID_FIELD.getPreferredName(), MODEL_ID)
.field(MAX_DISTANCE_FIELD.getPreferredName(), MAX_DISTANCE)
.endObject()
.endObject();
XContentParser contentParser = createParser(xContentBuilder);
contentParser.nextToken();
NeuralQueryBuilder neuralQueryBuilder = NeuralQueryBuilder.fromXContent(contentParser);
assertEquals(FIELD_NAME, neuralQueryBuilder.fieldName());
assertEquals(QUERY_TEXT, neuralQueryBuilder.queryText());
assertEquals(MODEL_ID, neuralQueryBuilder.modelId());
assertEquals(MAX_DISTANCE, neuralQueryBuilder.maxDistance());
}
@SneakyThrows
public void testFromXContent_whenBuiltWithDefaults_whenBuiltWithMinScore_thenBuildSuccessfully() {
/*
{
"VECTOR_FIELD": {
"query_text": "string",
"query_image": "string",
"model_id": "string",
"min_score": float
}
}
*/
setUpClusterService(Version.V_2_14_0);
XContentBuilder xContentBuilder = XContentFactory.jsonBuilder()
.startObject()
.startObject(FIELD_NAME)
.field(QUERY_TEXT_FIELD.getPreferredName(), QUERY_TEXT)
.field(MODEL_ID_FIELD.getPreferredName(), MODEL_ID)
.field(MIN_SCORE_FIELD.getPreferredName(), MIN_SCORE)
.endObject()
.endObject();
XContentParser contentParser = createParser(xContentBuilder);
contentParser.nextToken();
NeuralQueryBuilder neuralQueryBuilder = NeuralQueryBuilder.fromXContent(contentParser);
assertEquals(FIELD_NAME, neuralQueryBuilder.fieldName());
assertEquals(QUERY_TEXT, neuralQueryBuilder.queryText());
assertEquals(MODEL_ID, neuralQueryBuilder.modelId());
assertEquals(MIN_SCORE, neuralQueryBuilder.minScore());
}
@SneakyThrows
public void testFromXContent_whenBuiltWithDefaults_whenBuiltWithMinScoreAndK_thenFail() {
/*
{
"VECTOR_FIELD": {
"query_text": "string",
"query_image": "string",
"model_id": "string",
"min_score": float,
"k": int
}
}
*/
setUpClusterService(Version.V_2_14_0);
XContentBuilder xContentBuilder = null;
try {
xContentBuilder = XContentFactory.jsonBuilder()
.startObject()
.startObject(FIELD_NAME)
.field(QUERY_TEXT_FIELD.getPreferredName(), QUERY_TEXT)
.field(MODEL_ID_FIELD.getPreferredName(), MODEL_ID)