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package cn.teammodel.service.impl;
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import cn.teammodel.ai.SparkGptClient;
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import cn.teammodel.ai.SseHelper;
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import cn.teammodel.ai.cache.HistoryCache;
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import cn.teammodel.ai.domain.SparkChatRequestParam;
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import cn.teammodel.ai.listener.SparkGptStreamListener;
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import cn.teammodel.common.ErrorCode;
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import cn.teammodel.common.PK;
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import cn.teammodel.config.exception.ServiceException;
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import cn.teammodel.model.dto.ai.*;
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import cn.teammodel.model.dto.ai.comment.ChatCommentsDto;
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import cn.teammodel.model.dto.ai.comment.WisdomCommentsDto;
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import cn.teammodel.model.dto.ai.comment.WisdomExamCommentsDto;
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import cn.teammodel.model.dto.ai.comment.WisdomSubjectComments;
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import cn.teammodel.model.entity.ai.ChatApp;
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import cn.teammodel.repository.ChatAppRepository;
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import cn.teammodel.repository.ChatSessionRepository;
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import cn.teammodel.model.entity.User;
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import cn.teammodel.model.entity.ai.ChatSession;
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import cn.teammodel.security.utils.SecurityUtil;
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import cn.teammodel.service.ChatMessageService;
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import cn.teammodel.utils.FileUtil;
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import cn.teammodel.utils.RepositoryUtil;
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import com.alibaba.fastjson2.JSON;
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import com.alibaba.fastjson2.TypeReference;
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import com.azure.cosmos.models.CosmosPatchOperations;
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import com.sun.xml.internal.ws.transport.http.ResourceLoader;
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import lombok.extern.slf4j.Slf4j;
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import org.apache.commons.lang3.ObjectUtils;
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import org.apache.commons.lang3.StringUtils;
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import org.springframework.stereotype.Service;
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import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
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import javax.annotation.Resource;
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import java.io.*;
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import java.net.URL;
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import java.time.Instant;
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import java.util.*;
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/**
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* @author winter
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* @create 2023-12-18 15:20
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*/
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@Service
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@Slf4j
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public class ChatMessageServiceImpl implements ChatMessageService {
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@Resource
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private SparkGptClient sparkGptClient;
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@Resource
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private ChatSessionRepository chatSessionRepository;
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@Resource
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private ChatAppRepository chatAppRepository;
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@Override
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public SseEmitter chatCompletion(ChatCompletionReqDto chatCompletionReqDto, String userId) {
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// 目前仅使用讯飞星火大模型
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String appId = chatCompletionReqDto.getAppId();
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SseEmitter sseEmitter;
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if (StringUtils.isEmpty(appId)) {
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sseEmitter = completionBySession(chatCompletionReqDto, userId);
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} else {
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sseEmitter = completionByApp(chatCompletionReqDto, false);
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}
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return sseEmitter;
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}
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/**
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* 评语调用 聊天模型
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*
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* @param chatCommentsDto
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* @param userId
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* @param userName
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* @return
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*/
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@Override
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public SseEmitter chatComments(ChatCommentsDto chatCommentsDto, String userId, String userName) {
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// 目前仅使用讯飞星火大模型
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String appId = chatCommentsDto.getAppId();
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String text = commentsTemplate(chatCommentsDto);
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if (!StringUtils.isEmpty(text)) {
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chatCommentsDto.setText(text);
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} else {
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throw new ServiceException(ErrorCode.PARAMS_ERROR.getCode(), "参数错误");
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}
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SseEmitter sseEmitter;
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if (StringUtils.isEmpty(appId)) {
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sseEmitter = commentsBySession(chatCommentsDto, userId, userName);
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} else {
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ChatCompletionReqDto chatCompletionReqDto = new ChatCompletionReqDto();
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chatCompletionReqDto.setAppId(chatCommentsDto.getAppId());
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chatCompletionReqDto.setSessionId(chatCommentsDto.getSessionId());
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chatCompletionReqDto.setText(chatCommentsDto.getText());
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sseEmitter = completionByApp(chatCompletionReqDto, false);
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}
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return sseEmitter;
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}
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/**
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* 面具模式(暂时不存储聊天记录)
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*/
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private SseEmitter completionByApp(ChatCompletionReqDto chatCompletionReqDto, boolean justApi) {
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String appId = chatCompletionReqDto.getAppId();
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String userPrompt = chatCompletionReqDto.getText();
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User user = SecurityUtil.getLoginUser();
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String userId = user.getId();
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String schoolId = user.getSchoolId();
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// 查询 appId 获取 prompt
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// 通过 prompt 和 userprompt 生成结果
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// 直接返回
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ChatApp chatApp = RepositoryUtil.findOne(chatAppRepository.findByAppId(appId), "该应用不存在");
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// 检验 app 是否可以被该用户使用
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if (!schoolId.equals(chatApp.getSchoolId()) && !"public".equals(chatApp.getSchoolId())) {
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throw new ServiceException(ErrorCode.NO_AUTH_ERROR.getCode(), "无权使用该应用");
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}
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String appPrompt = chatApp.getPrompt();
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SseEmitter sseEmitter = new SseEmitter(-1L);
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SparkGptStreamListener listener = new SparkGptStreamListener(sseEmitter);
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// open 回调
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listener.setOnOpen((s) -> {
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// 敏感词检查,计费 (设计模型, reducePoints, 或者都可以在完成的回调中做?)
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log.info("callback: ws open event emmit");
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});
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// 对话完成的回调
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listener.setOnComplete((s) -> {
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log.info("callback: ws complete event emmit");
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SseHelper.send(sseEmitter, "[DONE]");
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// 处理完成后的事件:
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if (!justApi) {
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// 保存消息记录, 缓存更改
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}
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});
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// 错误的回调
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listener.setOnError((s) -> {
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log.error("callback: ws error, info: " + s);
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// 返还积分
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});
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List<SparkChatRequestParam.Message> messageList = new ArrayList<>();
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messageList.add(SparkChatRequestParam.Message.ofAssistant(appPrompt));
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messageList.add(SparkChatRequestParam.Message.ofUser(userPrompt));
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SparkChatRequestParam requestParam = SparkChatRequestParam
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.builder()
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.uid(userId)
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.chatId(appId)
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.messageList(messageList)
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.build();
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sparkGptClient.streamChatCompletion(requestParam, listener);
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return sseEmitter;
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}
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/**
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* 会话模式
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*/
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private SseEmitter completionBySession(ChatCompletionReqDto chatCompletionReqDto, String userId) {
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String userPrompt = chatCompletionReqDto.getText();
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String sessionId = chatCompletionReqDto.getSessionId();
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ChatSession session = RepositoryUtil.findOne(chatSessionRepository.findBySessionId(sessionId), "该会话不存在");
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if (!session.getUserId().equals(userId)) {
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throw new ServiceException(ErrorCode.NO_AUTH_ERROR.getCode(), "该会话不存在");
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}
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SseEmitter sseEmitter = new SseEmitter(-1L);
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SparkGptStreamListener listener = new SparkGptStreamListener(sseEmitter);
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// open 回调
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listener.setOnOpen((s) -> {
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// 敏感词检查,计费 (设计模型, reducePoints, 或者都可以在完成的回调中做?)
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log.info("callback: ws open event emmit");
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});
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// 对话完成的回调
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listener.setOnComplete((s) -> {
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log.info("callback: ws complete event emmit");
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SseHelper.send(sseEmitter, "[DONE]");
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// 处理完成后的事件: 保存消息记录, 缓存更改
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ChatSession.Message message = ChatSession.Message.of(userPrompt, s);
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HistoryCache.updateContext(sessionId, message);
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CosmosPatchOperations options = CosmosPatchOperations.create()
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.replace("/updateTime", Instant.now().toEpochMilli())
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.add("/history/-", message);
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chatSessionRepository.save(sessionId, PK.of(PK.CHAT_SESSION), ChatSession.class, options);
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});
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// 错误的回调
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listener.setOnError((s) -> {
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log.error("callback: ws error, info: " + s);
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// 返还积分
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});
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List<SparkChatRequestParam.Message> messageList = fetchContext(sessionId, userPrompt);
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SparkChatRequestParam requestParam = SparkChatRequestParam
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.builder()
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.uid(userId)
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.chatId(sessionId)
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.messageList(messageList)
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.build();
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sparkGptClient.streamChatCompletion(requestParam, listener);
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return sseEmitter;
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}
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/**
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* 评语 会话模式
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*/
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private SseEmitter commentsBySession(ChatCommentsDto chatCommentsDto, String userId, String userName) {
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String userPrompt = chatCommentsDto.getText();
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Object data = chatCommentsDto.getData();
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//获取会话id 看是否有sessionId 有则直接赋值 没有则赋值userId
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String sessionId = chatCommentsDto.getSessionId();
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ChatSession session = null;
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List<ChatSession> sessions = chatSessionRepository.findCommentsById(sessionId);
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if (sessions.size() == 0) {
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// 初始化欢迎语
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ChatSession.Message message = ChatSession.Message.of("", "你好" + userName + " ,我是你的私人 AI 助手小豆," +
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"你可以问我任何包括但不仅限于教育的问题,我会尽力为您解答!");
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List<ChatSession.Message> history = Collections.singletonList(message);
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session = new ChatSession();
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session.setId(sessionId);
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session.setCode(PK.CHAT_SESSION);
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session.setTitle("评语");
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session.setUserId(userId);
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session.setCreateTime(Instant.now().toEpochMilli());
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session.setUpdateTime(Instant.now().toEpochMilli());
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session.setHistory(history);
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chatSessionRepository.save(session);
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} else {
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session = RepositoryUtil.findOne(chatSessionRepository.findBySessionId(sessionId), "该会话不存在");
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}
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/*
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ChatSession session = RepositoryUtil.findOne(chatSessionRepository.findBySessionId(sessionId), "该会话不存在");
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if (!session.getUserId().equals(userId)) {
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throw new ServiceException(ErrorCode.NO_AUTH_ERROR.getCode(), "该会话不存在");
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}*/
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SseEmitter sseEmitter = new SseEmitter(-1L);
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SparkGptStreamListener listener = new SparkGptStreamListener(sseEmitter);
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// open 回调
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listener.setOnOpen((s) -> {
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// 敏感词检查,计费 (设计模型, reducePoints, 或者都可以在完成的回调中做?)
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log.info("callback: ws open event emmit");
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});
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// 对话完成的回调
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listener.setOnComplete((s) -> {
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log.info("callback: ws complete event emmit");
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SseHelper.send(sseEmitter, "[DONE]");
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// 处理完成后的事件: 保存消息记录, 缓存更改
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ChatSession.Message message = ChatSession.Message.of(userPrompt, s);
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HistoryCache.updateContext(sessionId, message);
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CosmosPatchOperations options = CosmosPatchOperations.create()
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.replace("/updateTime", Instant.now().toEpochMilli())
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.add("/history/-", message);
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chatSessionRepository.save(sessionId, PK.of(PK.CHAT_SESSION), ChatSession.class, options);
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});
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// 错误的回调
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listener.setOnError((s) -> {
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log.error("callback: ws error, info: " + s);
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// 返还积分
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});
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List<SparkChatRequestParam.Message> messageList = fetchContext(userId, userPrompt);
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SparkChatRequestParam requestParam = SparkChatRequestParam
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.builder()
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.uid(userId)
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.chatId(userId)
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.messageList(messageList)
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.build();
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sparkGptClient.streamChatCompletion(requestParam, listener);
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return sseEmitter;
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}
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List<SparkChatRequestParam.Message> fetchContext(String userId, String prompt) {
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List<ChatSession.Message> context = HistoryCache.getContext(userId);
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List<SparkChatRequestParam.Message> paramMessages = new ArrayList<>();
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// 暂未缓存,从数据库拉取
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if (ObjectUtils.isEmpty(context)) {
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context = chatSessionRepository.findLatestMessage(userId);
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if (ObjectUtils.isNotEmpty(context)) {
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HistoryCache.putContext(userId, context);
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}
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}
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// convert DB Message to Spark Message
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context.forEach(item -> {
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paramMessages.add(SparkChatRequestParam.Message.ofUser(item.getUserText()));
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paramMessages.add(SparkChatRequestParam.Message.ofAssistant(item.getGptText()));
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});
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paramMessages.add(SparkChatRequestParam.Message.ofUser(prompt));
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return paramMessages;
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}
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/**
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* 评语调用 聊天模型
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* 待优化
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* @return
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*/
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private String commentsTemplate(ChatCommentsDto chatCommentsDto) {
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StringBuilder builder = new StringBuilder();
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String strData = JSON.toJSONString(chatCommentsDto.getData());
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File file = new File(ClassLoader.getSystemResource("Json/ChatModel.json").getPath()); //相对路径获取文件信息
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//File file = new File("src/main/resources/Json/ChatModel.json"); //绝对路径获取文件信息
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List<ChatModelDto> chatModels = new ArrayList<>();
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ChatModelDto chatModel = null;
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//chatModel = readerMethod(file);
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chatModels = readerMethod(file);
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if(chatModels.size() <= 0)
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{
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throw new ServiceException(ErrorCode.NOT_FOUND_ERROR.getCode(), "评语模版未配置");
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}
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//循环查找对应的模型数据
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for(ChatModelDto chatModelTemp : chatModels)
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{
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//判断评语类型
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if(chatCommentsDto.getType().equals(chatModelTemp.getType()))
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{
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chatModel = chatModelTemp;
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break;
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}
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}
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if(chatModel != null)
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{
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//角色条件
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builder.append(String.format(chatModel.getRole(),chatCommentsDto.getPeriod(),chatCommentsDto.getSubject()));
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}
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ChatModelDto finalChatModel = chatModel;
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//模版
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switch (chatCommentsDto.getType()) {
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//智育 总体评语模版
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case "wisdom":
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{
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WisdomCommentsDto wisdomComments;
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//转换问题
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try {
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//转换方式
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wisdomComments = JSON.parseObject(strData, WisdomCommentsDto.class);
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} catch (Exception e) {
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throw new ServiceException(ErrorCode.PARAMS_ERROR.getCode(), "类型转换失败");
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}
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if(wisdomComments.getName() == null)
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{
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throw new ServiceException(ErrorCode.PARAMS_ERROR.getCode(), "请求参数异常");
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}
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// 使用String.format方法生成最终的字符串
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builder.append(String.format(
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finalChatModel.getChat(),
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wisdomComments.getName(),
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wisdomComments.getYear(),
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wisdomComments.getSemester(),
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wisdomComments.getJoinAll(),
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wisdomComments.getLessonMiddle(),
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wisdomComments.getOnLine(),
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wisdomComments.getMarking(),
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wisdomComments.getLevel(),
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wisdomComments.getProportion(),
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wisdomComments.getName()
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));
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/*
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//有平均分
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builder.append(String.format(
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finalChatModel.getChat(),
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wisdomComments.getName(),
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wisdomComments.getYear(),
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wisdomComments.getSemester(),
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wisdomComments.getJoinAll(),
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wisdomComments.getLessonMiddle(),
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wisdomComments.getOnLine(),
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wisdomComments.getMarking(),
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wisdomComments.getAverage(),
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wisdomComments.getLevel(),
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wisdomComments.getProportion(),
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wisdomComments.getName()
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));*/
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wisdomComments.getDims().forEach(item -> {
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builder.append(String.format(finalChatModel.getCycleChats().get(0),
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item.name,
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item.data[0],
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item.data[1],
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item.data[2],
|
|
|
item.data[3],
|
|
|
item.data[4]
|
|
|
));
|
|
|
});
|
|
|
builder.append(String.format(finalChatModel.getEnd(),wisdomComments.getName()));
|
|
|
break;
|
|
|
}
|
|
|
//智育 表现模版
|
|
|
case "wisdomExam":
|
|
|
{
|
|
|
List<WisdomExamCommentsDto> examComments = new ArrayList<>();
|
|
|
try {
|
|
|
examComments = JSON.parseObject(strData, new TypeReference<List<WisdomExamCommentsDto>>() {});
|
|
|
} catch (Exception e) {
|
|
|
throw new ServiceException(ErrorCode.PARAMS_ERROR.getCode(), "类型转换失败");
|
|
|
}
|
|
|
if(examComments.size() <= 1){
|
|
|
if (examComments.isEmpty()){
|
|
|
throw new ServiceException(ErrorCode.PARAMS_ERROR.getCode(), "请求参数异常");
|
|
|
}
|
|
|
if (examComments.get(0).name == null){
|
|
|
throw new ServiceException(ErrorCode.PARAMS_ERROR.getCode(), "请求参数异常");
|
|
|
}
|
|
|
}
|
|
|
int count = 1;
|
|
|
for (WisdomExamCommentsDto examComment : examComments) {
|
|
|
builder.append(String.format(finalChatModel.getCycleChats().get(0), count, examComment.getName(), examComment.getTime(), examComment.getScore(), examComment.getScoreRate(), examComment.getBanking()));
|
|
|
if (count < examComments.size())
|
|
|
{
|
|
|
count++;
|
|
|
}
|
|
|
}
|
|
|
builder.append(String.format(finalChatModel.getEnd(),count));
|
|
|
break;
|
|
|
}
|
|
|
// 智育 学科评语模版
|
|
|
case "windomSubject":
|
|
|
{
|
|
|
List<WisdomSubjectComments> subjectComments;
|
|
|
try {
|
|
|
subjectComments = JSON.parseObject(strData, new TypeReference<List<WisdomSubjectComments>>() {});
|
|
|
}
|
|
|
catch (Exception e) {
|
|
|
throw new ServiceException(ErrorCode.PARAMS_ERROR.getCode(), "请求参数异常");
|
|
|
}
|
|
|
if(subjectComments.size() <= 1){
|
|
|
if (subjectComments.isEmpty()){
|
|
|
throw new ServiceException(ErrorCode.PARAMS_ERROR.getCode(), "请求参数异常");
|
|
|
}
|
|
|
}
|
|
|
builder.append(finalChatModel.getChat());
|
|
|
//拼接学科数组
|
|
|
for (WisdomSubjectComments comments : subjectComments){
|
|
|
builder.append(String.format(finalChatModel.getCycleChats().get(0), comments.subjectName));
|
|
|
for (WisdomSubjectComments.StuInfo stuInfo : comments.getRankings()){
|
|
|
builder.append(String.format(finalChatModel.getCycleChats().get(1), stuInfo.ranking, stuInfo.name, stuInfo.scoreRate));
|
|
|
}
|
|
|
|
|
|
builder.append(String.format(finalChatModel.getCycleChats().get(2), comments.getClaasRanking().ranking, comments.getClaasRanking().scoreRate,comments.getClaasRanking().average));
|
|
|
}
|
|
|
builder.append(String.format(finalChatModel.getEnd(),subjectComments.size()));
|
|
|
break;
|
|
|
}
|
|
|
//艺术 考核指标纬度评语
|
|
|
case "artDimensions":
|
|
|
builder.append("请按照以下格式回复：\n");
|
|
|
builder.append("1. 艺术作品：\n");
|
|
|
builder.append("2. 艺术作品说明：\n");
|
|
|
builder.append("3. 艺术作品示例：\n");
|
|
|
builder.append("4. 艺术作品示例说明：\n");
|
|
|
break;
|
|
|
case "sport":
|
|
|
builder.append("请按照以下格式回复：\n");
|
|
|
builder.append("1. 运动作品：\n");
|
|
|
builder.append("2. 运动作品说明：\n");
|
|
|
builder.append("3. 运动作品示例：\n");
|
|
|
builder.append("4. 运动作品示例说明：\n");
|
|
|
break;
|
|
|
default:
|
|
|
throw new ServiceException(ErrorCode.PARAMS_ERROR.getCode(), "评语类型异常");
|
|
|
}
|
|
|
|
|
|
if (chatCommentsDto.getSize() > 0 ){
|
|
|
builder.append("字数限制在：")
|
|
|
.append(chatCommentsDto.getSize())
|
|
|
.append("字左右");
|
|
|
}
|
|
|
|
|
|
return builder.toString();
|
|
|
}
|
|
|
|
|
|
/**
|
|
|
* 读取文件信息并转换为智能对话模型数组对象
|
|
|
* @param file
|
|
|
* @return
|
|
|
*/
|
|
|
private static List<ChatModelDto> readerMethod(File file) {
|
|
|
//读取文件信息，并返回string字符串 ，并改成json格式
|
|
|
String fileTxt = FileUtil.readFile(file);
|
|
|
String strData =JSON.toJSONString(fileTxt);
|
|
|
|
|
|
//获取聊天字段中的数据
|
|
|
Object str = JSON.parseObject(strData).get("chatModel");
|
|
|
String strData2 = JSON.toJSONString(str);
|
|
|
List<ChatModelDto> chatModelDtos = new ArrayList<>();
|
|
|
|
|
|
//转换问题
|
|
|
try {
|
|
|
//转换方式
|
|
|
chatModelDtos = JSON.parseObject(strData2, new TypeReference<List<ChatModelDto>>() {});
|
|
|
} catch (Exception e) {
|
|
|
throw new ServiceException(ErrorCode.OPERATION_ERROR.getCode(), "类型转换失败");
|
|
|
}
|
|
|
|
|
|
return chatModelDtos;
|
|
|
}
|
|
|
}
|
