content: /**
   * Copyright (C) 2024 AIDC-AI
   *
   * Licensed under the Apache License, Version 2.0 (the "License");
   * you may not use this file except in compliance with the License.
   * You may obtain a copy of the License at
   *
   *     http://www.apache.org/licenses/LICENSE-2.0
   *
   * Unless required by applicable law or agreed to in writing, software
   * distributed under the License is distributed on an "AS IS" BASIS,
   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
   */
  package com.alibaba.langengine.djl.embeddings.texttovec;
  
  import com.alibaba.fastjson.JSON;
  import com.alibaba.langengine.core.indexes.Document;
  import com.alibaba.langengine.djl.embeddings.GanymedeNilEmbeddings;
  import org.junit.jupiter.api.Test;
  
  import java.util.ArrayList;
  import java.util.List;
  import java.util.stream.Collectors;
  
  import static com.alibaba.langengine.djl.embeddings.GanymedeNilEnum.TEXT2VEC_LARGE_CHINESE;
  
  public class GanymedeNilEmbeddingsTest {
  
      @Test
      public void test_embedDocument() {
          // success
          List<String> texts = new ArrayList<>();
          texts.add("阿里巴巴是什么样的企业");
          List<Document> documents =  texts.stream().map(text -> {
              Document document = new Document();
              document.setPageContent(text);
              return document;
          }).collect(Collectors.toList());
  
  //        GanymedeNilEmbeddings embeddings = new GanymedeNilEmbeddings("/Users/xiaoxuan.lp/works/runting/build/pytorch_models/text2vec-large-chinese", false);
  //        List<Document> embededDocuments = embeddings.embedDocument(documents);
  //        System.out.println(JSON.toJSONString(embededDocuments));
  //        embededDocuments.stream().forEach(embededDocument -> {
  //            System.out.println(embededDocument.getEmbedding().size());
  //        });
  
          GanymedeNilEmbeddings embeddings = new GanymedeNilEmbeddings(TEXT2VEC_LARGE_CHINESE.getModelId(), true);
          List<Document> embededDocuments = embeddings.embedDocument(documents);
          System.out.println(JSON.toJSONString(embededDocuments));
          embededDocuments.stream().forEach(embededDocument -> {
              System.out.println(embededDocument.getEmbedding().size());
          });
      }
  }
  