package com.ai.aiagent.app;

import com.ai.aiagent.advisor.MyLoggerAdvisor;
import com.ai.aiagent.advisor.ReReadingAdvisor;
import com.ai.aiagent.chatmemory.FileBasedChatMemory;
import com.ai.aiagent.rag.LoveAppRagCustomAdvisorFactory;
import com.ai.aiagent.rag.QueryRewriter;
import jakarta.annotation.Resource;
import lombok.extern.slf4j.Slf4j;
import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.client.advisor.MessageChatMemoryAdvisor;
import org.springframework.ai.chat.client.advisor.SimpleLoggerAdvisor;
import org.springframework.ai.chat.client.advisor.api.Advisor;
import org.springframework.ai.chat.client.advisor.vectorstore.QuestionAnswerAdvisor;
import org.springframework.ai.chat.memory.ChatMemory;
import org.springframework.ai.chat.memory.InMemoryChatMemoryRepository;
import org.springframework.ai.chat.memory.MessageWindowChatMemory;
import org.springframework.ai.chat.model.ChatModel;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.tool.ToolCallback;
import org.springframework.ai.vectorstore.VectorStore;
import org.springframework.stereotype.Component;

import java.util.List;

@Component
@Slf4j
public class LoveApp {
    private final ChatClient chatClient;

    private static final String SYSTEM_PROMPT="扮演深耕恋爱心理领域的专家。开场向用户表明身份，告知用户可倾诉恋爱难题。" +
            "围绕单身、恋爱、已婚三种状态提问：单身状态询问社交圈拓展及追求心仪对象的困扰；" +
            "恋爱状态询问沟通、习惯差异引发的矛盾；已婚状态询问家庭责任与亲属关系处理的问题。" +
            "引导用户详述事情经过、对方反应及自身想法，以便给出专属解决方案。";

    /**
     * 初始化 ChatClient
     * @param dashscopeChatModel
     */
    public LoveApp(ChatModel dashscopeChatModel){
        String fileDir=System.getProperty("user.dir")+"/tmp/chat-memory";
//        ChatMemory chatMemory = new FileBasedChatMemory(fileDir);
        ChatMemory chatMemory= MessageWindowChatMemory.builder()
                .chatMemoryRepository(new InMemoryChatMemoryRepository())
                .build();
        chatClient=ChatClient.builder(dashscopeChatModel)
                .defaultSystem(SYSTEM_PROMPT)
                .defaultAdvisors(MessageChatMemoryAdvisor.builder(chatMemory).build(),
                        //自定义日志 Advisor
                        new MyLoggerAdvisor()
//                        //自定义推理增强 Advisor
//                        ,new ReReadingAdvisor()
                )
                .build();
    }

    /**
     * AI 基础对话（支持多轮对话记忆）
     * @param message
     * @param chatId
     * @return
     */
    public String doChat(String message,String chatId){
        ChatResponse response=chatClient
                .prompt()
                .user(message)
                .advisors(spec -> spec.param(ChatMemory.CONVERSATION_ID, chatId))
                .call()
                .chatResponse();
        String content=response.getResult().getOutput().getText();
        log.info("content:{}",content);
        return content;
    }

    record LoveReport(String title, List<String> suggestions){}

    /**
     * AI 恋爱报告功能（结构化输出）
     * @param message
     * @param chatId
     * @return
     */
    public LoveReport doChatWithReport(String message,String chatId){
        LoveReport loveReport=chatClient
                .prompt()
                .system(SYSTEM_PROMPT+"每次对话后都要生成恋爱结果，标题为{用户名}的恋爱报告，内容为建议列表")
                .user(message)
                .advisors(spec -> spec.param(ChatMemory.CONVERSATION_ID, chatId))
                .call()
                .entity(LoveReport.class);
        log.info("content:{}",loveReport);
        return loveReport;
    }

    @Resource
    private VectorStore loveAppVectorStore;
    @Resource
    private Advisor loveAppRagCloudAdvisor;
    @Resource
    private VectorStore pgVectorVectorStore;
    @Resource
    private QueryRewriter queryRewriter;

    public String doChatWithRag(String message,String chatId){
        String rewrittenMessage=queryRewriter.doQueryRewrite(message);

        ChatResponse response=chatClient
                .prompt()
                .user(rewrittenMessage)
                .advisors(spec -> spec.param(ChatMemory.CONVERSATION_ID, chatId))
                // 开启日志，便于观察结果
                .advisors(new MyLoggerAdvisor())
                // 应用 RAG 知识库回答
                .advisors(new QuestionAnswerAdvisor(loveAppVectorStore))
                // 应用 RAG 检索增强服务（基于云知识库）
//                .advisors(loveAppRagCloudAdvisor)
                // 应用 RAG 检索增强服务（基于 PgVector 向量存储）
//                .advisors(new QuestionAnswerAdvisor(pgVectorVectorStore))
                // 应用自定义的 RAG 检索增强服务（文档查询器 + 上下文增强器）
//                .advisors(
//                        LoveAppRagCustomAdvisorFactory.createLoveAppRagCustomAdvisor(
//                                loveAppVectorStore,"单身"
//                        )
//                )
                .call()
                .chatResponse();
        String content=response.getResult().getOutput().getText();
        log.info("content:{}",content);
        return content;
    }
    // AI 调用工具能力
    @Resource
    private ToolCallback[] allTools;

    /**
     * AI 恋爱报告功能（支持调用工具）
     *
     * @param message
     * @param chatId
     * @return
     */
    public String doChatWithTools(String message, String chatId) {
        ChatResponse chatResponse = chatClient
                .prompt()
                .user(message)
                .advisors(spec -> spec.param(ChatMemory.CONVERSATION_ID, chatId))
                // 开启日志，便于观察效果
                .advisors(new MyLoggerAdvisor())
                .toolCallbacks(allTools)
                .call()
                .chatResponse();
        String content = chatResponse.getResult().getOutput().getText();
        log.info("content: {}", content);
        return content;
    }
}