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Add tests for top level spaceType parameter with different combinations
Signed-off-by: Navneet Verma <navneev@amazon.com>
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src/test/java/org/opensearch/knn/integ/TopLevelSpaceTypeParameterIT.java
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/* | ||
* Copyright OpenSearch Contributors | ||
* SPDX-License-Identifier: Apache-2.0 | ||
*/ | ||
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package org.opensearch.knn.integ; | ||
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import lombok.SneakyThrows; | ||
import org.opensearch.common.xcontent.XContentFactory; | ||
import org.opensearch.core.xcontent.XContentBuilder; | ||
import org.opensearch.knn.KNNRestTestCase; | ||
import org.opensearch.knn.common.KNNConstants; | ||
import org.opensearch.knn.index.SpaceType; | ||
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import java.io.IOException; | ||
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import static org.opensearch.knn.common.KNNConstants.FAISS_NAME; | ||
import static org.opensearch.knn.common.KNNConstants.KNN_ENGINE; | ||
import static org.opensearch.knn.common.KNNConstants.KNN_METHOD; | ||
import static org.opensearch.knn.common.KNNConstants.METHOD_HNSW; | ||
import static org.opensearch.knn.common.KNNConstants.NAME; | ||
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public class TopLevelSpaceTypeParameterIT extends KNNRestTestCase { | ||
private final static float[] TEST_VECTOR = new float[] { 1.0f, 2.0f }; | ||
private final static int DIMENSION = 2; | ||
private final static int K = 1; | ||
private static final String INDEX_NAME = "top-level-space-type-index"; | ||
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@SneakyThrows | ||
public void testBaseCase() { | ||
createTestIndexWithTopLevelSpaceTypeOnly(); | ||
addKnnDoc(INDEX_NAME, "0", FIELD_NAME, TEST_VECTOR); | ||
validateKNNSearch(INDEX_NAME, FIELD_NAME, DIMENSION, 1, K); | ||
deleteIndex(INDEX_NAME); | ||
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createTestIndexWithTopLevelSpaceTypeAndMethodSpaceType(); | ||
addKnnDoc(INDEX_NAME, "0", FIELD_NAME, TEST_VECTOR); | ||
validateKNNSearch(INDEX_NAME, FIELD_NAME, DIMENSION, 1, K); | ||
deleteIndex(INDEX_NAME); | ||
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createTestIndexWithNoSpaceType(); | ||
addKnnDoc(INDEX_NAME, "0", FIELD_NAME, TEST_VECTOR); | ||
validateKNNSearch(INDEX_NAME, FIELD_NAME, DIMENSION, 1, K); | ||
deleteIndex(INDEX_NAME); | ||
} | ||
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private void createTestIndexWithTopLevelSpaceTypeOnly() throws IOException { | ||
XContentBuilder builder = XContentFactory.jsonBuilder() | ||
.startObject() | ||
.startObject("properties") | ||
.startObject(FIELD_NAME) | ||
.field("type", "knn_vector") | ||
.field("dimension", DIMENSION) | ||
.field(KNNConstants.TOP_LEVEL_PARAMETER_SPACE_TYPE, SpaceType.INNER_PRODUCT.getValue()) | ||
.startObject(KNN_METHOD) | ||
.field(NAME, METHOD_HNSW) | ||
.field(KNN_ENGINE, FAISS_NAME) | ||
.endObject() | ||
.endObject() | ||
.endObject() | ||
.endObject(); | ||
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String mapping = builder.toString(); | ||
createKnnIndex(INDEX_NAME, mapping); | ||
} | ||
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private void createTestIndexWithTopLevelSpaceTypeAndMethodSpaceType() throws IOException { | ||
XContentBuilder builder = XContentFactory.jsonBuilder() | ||
.startObject() | ||
.startObject("properties") | ||
.startObject(FIELD_NAME) | ||
.field("type", "knn_vector") | ||
.field("dimension", DIMENSION) | ||
.field(KNNConstants.TOP_LEVEL_PARAMETER_SPACE_TYPE, SpaceType.INNER_PRODUCT.getValue()) | ||
.startObject(KNN_METHOD) | ||
.field(NAME, METHOD_HNSW) | ||
.field(KNN_ENGINE, FAISS_NAME) | ||
.field(KNNConstants.METHOD_PARAMETER_SPACE_TYPE, SpaceType.INNER_PRODUCT.getValue()) | ||
.endObject() | ||
.endObject() | ||
.endObject() | ||
.endObject(); | ||
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String mapping = builder.toString(); | ||
createKnnIndex(INDEX_NAME, mapping); | ||
} | ||
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private void createTestIndexWithNoSpaceType() throws IOException { | ||
XContentBuilder builder = XContentFactory.jsonBuilder() | ||
.startObject() | ||
.startObject("properties") | ||
.startObject(FIELD_NAME) | ||
.field("type", "knn_vector") | ||
.field("dimension", DIMENSION) | ||
.startObject(KNN_METHOD) | ||
.field(NAME, METHOD_HNSW) | ||
.field(KNN_ENGINE, FAISS_NAME) | ||
.endObject() | ||
.endObject() | ||
.endObject() | ||
.endObject(); | ||
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String mapping = builder.toString(); | ||
createKnnIndex(INDEX_NAME, mapping); | ||
} | ||
} |