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.redis.memory;
  
  import java.util.HashMap;
  import java.util.Map;
  
  import com.alibaba.fastjson.JSON;
  import com.alibaba.langengine.core.chain.ConversationChain;
  
  import com.alibaba.langengine.openai.model.ChatOpenAI;
  import com.alibaba.langengine.redis.memory.cache.AiRedisTemplate;
  import com.alibaba.langengine.redis.memory.cache.RedisCache;
  import org.junit.jupiter.api.Test;
  import redis.clients.jedis.JedisPool;
  
  /**
   * TODO 待优化
   * @author aihe.ah
   * @time 2023/11/13
   * 功能说明：
   */
  public class ConversationSummeryRedisMemoryTest {
  
      @Test
      public void testRdbTokenCount() {
          // 需要本地启动一个redis服务器
          JedisPool jedisPool = new JedisPool();
          try {
              AiRedisTemplate aiRedisTemplate = new AiRedisTemplate(jedisPool);
  
              RedisCache redisCache = new RedisCache(aiRedisTemplate);
              redisCache.setRedisExpireTimeSeconds(60 * 60 * 24 * 7);
  
              ChatOpenAI llm = new ChatOpenAI();
  
              ConversationSummeryRedisMemory windowRedisMemory =
                  new ConversationSummeryRedisMemory(redisCache, "test", llm);
  
              ConversationChain conversation = new ConversationChain();
              conversation.setLlm(llm);
              conversation.setVerbose(true);
              conversation.setMemory(windowRedisMemory);
  
              HashMap<String, Object> inputs = new HashMap<>();
              inputs.put("input",
                  "假设你是一个小朋友，接下来我将你对对联，只需要答下一句，不要有多余的描述和联想。当我问：云，你就回答：雨， 当我问：雪，你回答：风。");
              Map<String, Object> response = conversation.predict(inputs);
              System.out.println(response);
  
              inputs = new HashMap<>();
              inputs.put("input", "云");
              response = conversation.predict(inputs);
              System.out.println(JSON.toJSONString(response));
  
              inputs = new HashMap<>();
              inputs.put("input", "花");
              response = conversation.predict(inputs);
              System.out.println(JSON.toJSONString(response));
  
              inputs = new HashMap<>();
              inputs.put("input", "火");
              response = conversation.predict(inputs);
              System.out.println(JSON.toJSONString(response));
  
          } finally {
              jedisPool.close();
          }
      }
  }