聊天评语设置接口

src/main/java/cn/teammodel/controller/frontend/AiController.java

@@ -10,9 +10,11 @@ import cn.teammodel.security.utils.SecurityUtil;
 import cn.teammodel.service.ChatAppService;
 import cn.teammodel.service.ChatMessageService;
 import cn.teammodel.service.ChatSessionService;
+import io.jsonwebtoken.Claims;
 import io.swagger.annotations.Api;
 import io.swagger.annotations.ApiOperation;
 import org.apache.commons.lang3.StringUtils;
+import org.springframework.security.core.Authentication;
 import org.springframework.web.bind.annotation.*;
 import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
 
@@ -147,9 +149,22 @@ public class AiController {
         return R.success("删除应用成功");
     }
 
-
-
-
-
+    @PostMapping("chat/comments")
+    @ApiOperation("设置评语")
+    public SseEmitter chatComments(@RequestBody @Valid ChatCompletionReqDto chatCompletionReqDto) {
+        /*
+        Authentication user0 =  SecurityUtil.getAuthentication();
+        Object user01 = SecurityUtil.getAuthentication().getPrincipal();
+        TmdUserDetail user02 = (TmdUserDetail) SecurityUtil.getAuthentication().getPrincipal();
+        Claims user03 = ((TmdUserDetail) SecurityUtil.getAuthentication().getPrincipal()).getClaims();
+        String user04 = ((TmdUserDetail) SecurityUtil.getAuthentication().getPrincipal()).getClaims().getSubject();
+        */
+
+        //String userId = ((TmdUserDetail) SecurityUtil.getAuthentication().getPrincipal()).getClaims().getSubject();
+        // 获取getClaims时为空
+        String userId = ((TmdUserDetail) SecurityUtil.getAuthentication().getPrincipal()).getUser().getId();
+        String userName = ((TmdUserDetail) SecurityUtil.getAuthentication().getPrincipal()).getUser().getName();
+        return chatMessageService.chatComments(chatCompletionReqDto, userId, userName);
+    }
 
 }

src/main/java/cn/teammodel/repository/ChatSessionRepository.java

@@ -22,4 +22,7 @@ public interface ChatSessionRepository extends CosmosRepository<ChatSession, Str
 
     @Query("SELECT value ARRAY_SLICE(c.history, -3) FROM c where c.id = @sessionId and c.code = 'ChatSession'")
     List<ChatSession.Message> findLatestMessage(String sessionId);
+
+    @Query("select c.id, c.code, c.title, c.userId, c.createTime from c where c.code = 'ChatSession' and c.id = @userId")
+    List<ChatSession> findCommentsById(String userId);
 }

src/main/java/cn/teammodel/service/ChatMessageService.java

@@ -12,4 +12,11 @@ public interface ChatMessageService {
     * AI 聊天
     */
     SseEmitter chatCompletion(ChatCompletionReqDto chatCompletionReqDto, String userId);
+
+    /**
+     * AI 评语聊天
+     * @param chatCompletionReqDto
+     * @return
+     */
+    SseEmitter chatComments(ChatCompletionReqDto chatCompletionReqDto, String userId,String userName);
 }

src/main/java/cn/teammodel/service/impl/ChatMessageServiceImpl.java

@@ -1,5 +1,6 @@
 package cn.teammodel.service.impl;
 
+import cn.hutool.core.lang.UUID;
 import cn.teammodel.ai.SparkGptClient;
 import cn.teammodel.ai.SseHelper;
 import cn.teammodel.ai.cache.HistoryCache;
@@ -27,6 +28,7 @@ import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
 import javax.annotation.Resource;
 import java.time.Instant;
 import java.util.ArrayList;
+import java.util.Collections;
 import java.util.List;
 
 /**
@@ -57,6 +59,25 @@ public class ChatMessageServiceImpl implements ChatMessageService {
         return sseEmitter;
     }
 
+    /**
+     * 评语调用 聊天模型
+     * @param chatCompletionReqDto
+     * @param userId
+     * @return
+     */
+    @Override
+    public SseEmitter chatComments(ChatCompletionReqDto chatCompletionReqDto, String userId,String userName) {
+        // 目前仅使用讯飞星火大模型
+        String appId = chatCompletionReqDto.getAppId();
+        SseEmitter sseEmitter;
+        if (StringUtils.isEmpty(appId)) {
+            sseEmitter = commentsBySession(chatCompletionReqDto, userId,userName);
+        } else {
+            sseEmitter = completionByApp(chatCompletionReqDto, false);
+        }
+        return sseEmitter;
+    }
+
     /**
     * 面具模式(暂时不存储聊天记录)
     */
@@ -158,6 +179,73 @@ public class ChatMessageServiceImpl implements ChatMessageService {
         return sseEmitter;
     }
 
+    /**
+     * 评语 会话模式
+     */
+    private SseEmitter commentsBySession(ChatCompletionReqDto chatCompletionReqDto, String userId,String userName) {
+        String userPrompt = chatCompletionReqDto.getText();
+        String sessionId = chatCompletionReqDto.getSessionId();
+
+        ChatSession session = null;
+        List<ChatSession> sessions = chatSessionRepository.findCommentsById(userId);
+        if (sessions.size() == 0)   {
+            // 初始化欢迎语
+            ChatSession.Message message = ChatSession.Message.of("", "你好" + userName + " ,我是你的私人 AI 助手小豆,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!");
+            List<ChatSession.Message> history = Collections.singletonList(message);
+            session = new ChatSession();
+            session.setId(userId);
+            session.setCode(PK.CHAT_SESSION);
+            session.setTitle("评语");
+            session.setUserId(userId);
+            session.setCreateTime(Instant.now().toEpochMilli());
+            session.setUpdateTime(Instant.now().toEpochMilli());
+            session.setHistory(history);
+            chatSessionRepository.save(session);
+        }else {
+            session = RepositoryUtil.findOne(chatSessionRepository.findBySessionId(userId), "该会话不存在");
+        }
+
+        /*
+        ChatSession session = RepositoryUtil.findOne(chatSessionRepository.findBySessionId(sessionId), "该会话不存在");
+        if (!session.getUserId().equals(userId)) {
+            throw new ServiceException(ErrorCode.NO_AUTH_ERROR.getCode(), "该会话不存在");
+        }*/
+
+        SseEmitter sseEmitter = new SseEmitter(-1L);
+        SparkGptStreamListener listener = new SparkGptStreamListener(sseEmitter);
+        // open 回调
+        listener.setOnOpen((s) -> {
+            // 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?)
+            log.info("callback: ws open event emmit");
+        });
+        // 对话完成的回调
+        listener.setOnComplete((s) -> {
+            log.info("callback: ws complete event emmit");
+            SseHelper.send(sseEmitter, "[DONE]");
+            // 处理完成后的事件: 保存消息记录, 缓存更改
+            ChatSession.Message message = ChatSession.Message.of(userPrompt, s);
+            HistoryCache.updateContext(sessionId, message);
+            CosmosPatchOperations options = CosmosPatchOperations.create()
+                    .replace("/updateTime", Instant.now().toEpochMilli())
+                    .add("/history/-", message);
+            chatSessionRepository.save(sessionId, PK.of(PK.CHAT_SESSION), ChatSession.class, options);
+        });
+        // 错误的回调
+        listener.setOnError((s) -> {
+            log.error("callback: ws error, info: " + s);
+            // 返还积分
+        });
+        List<SparkChatRequestParam.Message> messageList = fetchContext(sessionId, userPrompt);
+        SparkChatRequestParam requestParam = SparkChatRequestParam
+                .builder()
+                .uid(userId)
+                .chatId(sessionId)
+                .messageList(messageList)
+                .build();
+        sparkGptClient.streamChatCompletion(requestParam, listener);
+        return sseEmitter;
+    }
+
     List<SparkChatRequestParam.Message> fetchContext(String sessionId, String prompt) {
         List<ChatSession.Message> context = HistoryCache.getContext(sessionId);
         List<SparkChatRequestParam.Message> paramMessages = new ArrayList<>();