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Fix update document with knnn_vector size not matching issue #208

Merged
merged 10 commits into from
Jul 11, 2023
Original file line number Diff line number Diff line change
Expand Up @@ -5,17 +5,9 @@

package org.opensearch.neuralsearch.processor;

import java.util.ArrayList;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.function.BiConsumer;
import java.util.function.Supplier;
import java.util.stream.IntStream;

import com.google.common.annotations.VisibleForTesting;
import com.google.common.collect.ImmutableMap;
import lombok.extern.log4j.Log4j2;

import org.apache.commons.lang3.StringUtils;
import org.opensearch.action.ActionListener;
import org.opensearch.env.Environment;
Expand All @@ -24,8 +16,14 @@
import org.opensearch.ingest.IngestDocument;
import org.opensearch.neuralsearch.ml.MLCommonsClientAccessor;

import com.google.common.annotations.VisibleForTesting;
import com.google.common.collect.ImmutableMap;
import java.util.ArrayList;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.function.BiConsumer;
import java.util.function.Supplier;
import java.util.stream.IntStream;

/**
* This processor is used for user input data text embedding processing, model_id can be used to indicate which model user use,
Expand Down Expand Up @@ -119,7 +117,7 @@ void appendVectorFieldsToDocument(IngestDocument ingestDocument, Map<String, Obj
Objects.requireNonNull(vectors, "embedding failed, inference returns null result!");
log.debug("Text embedding result fetched, starting build vector output!");
Map<String, Object> textEmbeddingResult = buildTextEmbeddingResult(knnMap, vectors, ingestDocument.getSourceAndMetadata());
textEmbeddingResult.forEach(ingestDocument::appendFieldValue);
textEmbeddingResult.forEach(ingestDocument::setFieldValue);
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can we rename the function from appendVectorFieldsToDocument to setVectorFieldsToDocument, as we are not appending the values

}

@SuppressWarnings({ "unchecked" })
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Expand Up @@ -5,25 +5,10 @@

package org.opensearch.neuralsearch.common;

import static org.apache.http.entity.ContentType.APPLICATION_JSON;
import static org.opensearch.neuralsearch.common.VectorUtil.vectorAsListToArray;

import java.io.IOException;
import java.net.URISyntaxException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.Collections;
import java.util.List;
import java.util.Locale;
import java.util.Map;
import java.util.Optional;
import java.util.function.Predicate;
import java.util.stream.Collectors;

import com.google.common.collect.ImmutableList;
import lombok.AllArgsConstructor;
import lombok.Getter;
import lombok.SneakyThrows;

import org.apache.commons.lang3.StringUtils;
import org.apache.http.Header;
import org.apache.http.HttpEntity;
Expand All @@ -48,7 +33,21 @@
import org.opensearch.neuralsearch.OpenSearchSecureRestTestCase;
import org.opensearch.rest.RestStatus;

import com.google.common.collect.ImmutableList;
import java.io.IOException;
import java.net.URISyntaxException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.Collections;
import java.util.List;
import java.util.Locale;
import java.util.Map;
import java.util.Optional;
import java.util.UUID;
import java.util.function.Predicate;
import java.util.stream.Collectors;

import static org.apache.http.entity.ContentType.APPLICATION_JSON;
import static org.opensearch.neuralsearch.common.VectorUtil.vectorAsListToArray;

public abstract class BaseNeuralSearchIT extends OpenSearchSecureRestTestCase {

Expand Down Expand Up @@ -501,6 +500,7 @@ private String registerModelGroup() throws IOException, URISyntaxException {
String modelGroupRegisterRequestBody = Files.readString(
Path.of(classLoader.getResource("processor/CreateModelGroupRequestBody.json").toURI())
);
modelGroupRegisterRequestBody = modelGroupRegisterRequestBody.replace("<MODEL_GROUP_NAME>", UUID.randomUUID().toString());
Response modelGroupResponse = makeRequest(
client(),
"POST",
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Original file line number Diff line number Diff line change
Expand Up @@ -5,15 +5,7 @@

package org.opensearch.neuralsearch.ml;

import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.times;

import java.nio.ByteBuffer;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;

import com.google.common.collect.ImmutableMap;
import org.junit.Before;
import org.mockito.InjectMocks;
import org.mockito.Mock;
Expand All @@ -32,6 +24,15 @@
import org.opensearch.test.OpenSearchTestCase;
import org.opensearch.transport.NodeNotConnectedException;

import java.nio.ByteBuffer;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;

import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.times;

public class MLCommonsClientAccessorTests extends OpenSearchTestCase {

@Mock
Expand Down Expand Up @@ -168,7 +169,9 @@ private ModelTensorOutput createModelTensorOutput(final Float[] output) {
output,
new long[] { 1, 2 },
MLResultDataType.FLOAT64,
ByteBuffer.wrap(new byte[12])
ByteBuffer.wrap(new byte[12]),
"mockResult",
ImmutableMap.of("mockKey", "mockValue")
);
mlModelTensorList.add(tensor);
final ModelTensors modelTensors = new ModelTensors(mlModelTensorList);
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -5,20 +5,9 @@

package org.opensearch.neuralsearch.processor;

import static org.mockito.ArgumentMatchers.anyList;
import static org.mockito.ArgumentMatchers.anyString;
import static org.mockito.Mockito.*;

import java.util.ArrayList;
import java.util.HashMap;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import java.util.function.BiConsumer;
import java.util.function.Supplier;

import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableMap;
import lombok.SneakyThrows;

import org.junit.Before;
import org.mockito.InjectMocks;
import org.mockito.Mock;
Expand All @@ -33,8 +22,24 @@
import org.opensearch.neuralsearch.processor.factory.TextEmbeddingProcessorFactory;
import org.opensearch.test.OpenSearchTestCase;

import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableMap;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import java.util.function.BiConsumer;
import java.util.function.Supplier;

import static org.mockito.ArgumentMatchers.anyList;
import static org.mockito.ArgumentMatchers.anyString;
import static org.mockito.Mockito.any;
import static org.mockito.Mockito.doAnswer;
import static org.mockito.Mockito.doThrow;
import static org.mockito.Mockito.isA;
import static org.mockito.Mockito.isNull;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.verify;
import static org.mockito.Mockito.when;

public class TextEmbeddingProcessorTests extends OpenSearchTestCase {

Expand Down Expand Up @@ -398,6 +403,20 @@ public void testBuildVectorOutput_withNestedMap_successful() {
assertNotNull(actionGamesKnn);
}

public void test_updateDocument_appendVectorFieldsToDocument_successful() {
Map<String, Object> config = createPlainStringConfiguration();
IngestDocument ingestDocument = createPlainIngestDocument();
TextEmbeddingProcessor processor = createInstanceWithNestedMapConfiguration(config);
Map<String, Object> knnMap = processor.buildMapWithKnnKeyAndOriginalValue(ingestDocument);
List<List<Float>> modelTensorList = createMockVectorResult();
processor.appendVectorFieldsToDocument(ingestDocument, knnMap, modelTensorList);

List<List<Float>> modelTensorList1 = createMockVectorResult();
processor.appendVectorFieldsToDocument(ingestDocument, knnMap, modelTensorList1);
assertEquals(12, ingestDocument.getSourceAndMetadata().size());
assertEquals(2, ((List<?>)ingestDocument.getSourceAndMetadata().get("oriKey6_knn")).size());
}

private List<List<Float>> createMockVectorResult() {
List<List<Float>> modelTensorList = new ArrayList<>();
List<Float> number1 = ImmutableList.of(1.234f, 2.354f);
Expand Down
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
{
"name": "test_model_group_public",
"name": "<MODEL_GROUP_NAME>",
"description": "This is a public model group"
}
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