logging: #####日志级别
  level:

   org.springframework.ai.chat.client.advisor: debug

import com.alibaba.cloud.ai.dashscope.chat.DashScopeChatModel;
import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.client.advisor.PromptChatMemoryAdvisor;
import org.springframework.ai.chat.memory.ChatMemory;
import org.springframework.ai.chat.memory.MessageWindowChatMemory;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.ResponseBody;
@RequestMapping("/openai")
@ResponseBody
@Controller
public class ChatMemoryController {
    @Autowired
    private ChatClient.Builder chatClientBuilder;
    @Autowired
    private ChatMemory chatMemory; // 自动注入的MessageWindowChatMemory
    @Autowired
    DashScopeChatModel chatModel;
    @GetMapping("/simple/chatmemory")
    public String chatmemory () {
        ChatClient chatClient = chatClientBuilder
                .defaultAdvisors(
                        PromptChatMemoryAdvisor.builder(chatMemory).build()
                )
                .build();
        // 2. 第一次对话：自我介绍
        String content1 = chatClient.prompt()
                .user("我叫宋武帝刘裕")
                .call()
                .content();
        System.out.println("content1：" + content1);
        System.out.println("------------------------");
        // 3. 第二次对话：提问自己的名字（模型会记住上下文）
        String content2 = chatClient.prompt()
                .user("我叫什么？")
                .call()
                .content();
        System.out.println("content2：" + content2);
        return  "content1:"+content1+"------------" +"content2:"+content2;
    }
    /**
     *手动拼接上下文
     */
    @GetMapping("/simple/chatmemory2")
    public String chatmemory2 () {
        ChatClient chatClient = chatClientBuilder
                .defaultAdvisors(
                        PromptChatMemoryAdvisor.builder(chatMemory).build()
                )
                .build();
        // 2. 第一次对话：自我介绍
        // 第一次对话
        String chatHis="我叫秦始皇";
        String content1 = chatClient.prompt()
                .user(chatHis)
                .call()
                .content();
        System.out.println("content1：" + content1);
        System.out.println("------------------------");
        // 拼接历史对话
        chatHis+=content1;
        chatHis+="我叫什么？";
        // 3. 第二次对话：提问自己的名字（模型会记住上下文）
        String content2 = chatClient.prompt()
                .user(chatHis)
                .call()
                .content();
        System.out.println("content2：" + content2);
        return  "【手动拼接上下文】content1:"+content1+"------------" +"content2:"+content2;
    }
    /**
     * 基于 ChatMemory 的标准
     */
    @GetMapping("/simple/chatmemory3")
    public String chatmemory3 () {
        // 1. 创建对话记忆（滑动窗口实现）
        ChatMemory chatMemory = MessageWindowChatMemory.builder().build();
        String conversationId = "ly001"; // 对话唯一标识
        //  First interaction
        UserMessage userMessage1 = new UserMessage("我叫前秦符坚");
        chatMemory.add(conversationId, userMessage1);
        ChatResponse response1 = chatModel.call(new Prompt(chatMemory.get(conversationId)));
        chatMemory.add(conversationId, response1.getResult().getOutput());
        String content1 = String.valueOf(response1.getResult().getOutput());
        System.out.println("content1：" + content1);
        //Second interaction
        UserMessage userMessage2 = new UserMessage("我叫什么?");
        chatMemory.add(conversationId, userMessage2);
        ChatResponse response2 = chatModel.call(new Prompt(chatMemory.get(conversationId)));
        chatMemory.add(conversationId, response2.getResult().getOutput());
        String content2 = String.valueOf(response2.getResult().getOutput());
        System.out.println("content2：" + content2);
        return  "【基于 ChatMemory】content1:"+content1+"------------" +"content2:"+content2;
    }
}