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/*
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* Copyright (c) 2023-2025, Agents-Flex (fuhai999@gmail.com).
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* <p>
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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* <p>
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* http://www.apache.org/licenses/LICENSE-2.0
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* <p>
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package com.agentsflex.store.opensearch;
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import com.agentsflex.core.document.Document;
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import com.agentsflex.core.llm.embedding.EmbeddingModel;
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import com.agentsflex.core.llm.embedding.EmbeddingOptions;
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import com.agentsflex.core.store.SearchWrapper;
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import com.agentsflex.core.store.StoreOptions;
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import com.agentsflex.core.store.VectorData;
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import com.agentsflex.core.store.exception.StoreException;
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import com.agentsflex.store.elasticsearch.ElasticSearchVectorStore;
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import com.agentsflex.store.elasticsearch.ElasticSearchVectorStoreConfig;
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import org.junit.Test;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.List;
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/**
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* @author songyinyin
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*/
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public class ElasticSearchVectorStoreTest {
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private static ElasticSearchVectorStore getVectorStore() {
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ElasticSearchVectorStoreConfig config = new ElasticSearchVectorStoreConfig();
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// config.setApiKey("bmtXRVNaRUJNMEZXZzMzcnNvSXk6MlNMVmFnT0hRVVNUSmN3UXpoNWp4Zw==");
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config.setUsername("elastic");
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config.setPassword("Dd2024a10");
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ElasticSearchVectorStore store = new ElasticSearchVectorStore(config);
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store.setEmbeddingModel(new EmbeddingModel() {
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@Override
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public VectorData embed(Document document, EmbeddingOptions options) {
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VectorData vectorData = new VectorData();
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vectorData.setVector(new double[]{0, 0});
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return vectorData;
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}
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});
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return store;
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}
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@Test(expected = StoreException.class)
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public void test01() {
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ElasticSearchVectorStore store = getVectorStore();
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// https://opensearch.org/docs/latest/search-plugins/vector-search/#example
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List<Document> list = new ArrayList<>();
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Document doc1 = new Document();
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doc1.setId(1);
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doc1.setContent("test1");
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doc1.setVector(new double[]{5.2, 4.4});
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list.add(doc1);
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Document doc2 = new Document();
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doc2.setId(2);
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doc2.setContent("test2");
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doc2.setVector(new double[]{5.2, 3.9});
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list.add(doc2);
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Document doc3 = new Document();
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doc3.setId(3);
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doc3.setContent("test3");
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doc3.setVector(new double[]{4.9, 3.4});
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list.add(doc3);
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Document doc4 = new Document();
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doc4.setId(4);
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doc4.setContent("test4");
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doc4.setVector(new double[]{4.2, 4.6});
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list.add(doc4);
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Document doc5 = new Document();
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doc5.setId(5);
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doc5.setContent("test5");
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doc5.setVector(new double[]{3.3, 4.5});
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list.add(doc5);
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store.storeInternal(list, StoreOptions.DEFAULT);
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// 可能要等一会 才能查出结果
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SearchWrapper searchWrapper = new SearchWrapper();
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searchWrapper.setVector(new double[]{5, 4});
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searchWrapper.setMaxResults(3);
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List<Document> documents = store.searchInternal(searchWrapper, StoreOptions.DEFAULT);
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for (Document document : documents) {
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System.out.printf("id=%s, content=%s, vector=%s, metadata=%s\n",
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document.getId(), document.getContent(), Arrays.toString(document.getVector()), document.getMetadataMap());
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}
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}
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}
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