From 85069103bd0b1a801924c660daad78aedd0bfb6c Mon Sep 17 00:00:00 2001
From: Administrator <15274802129@163.com>
Date: Thu, 18 Sep 2025 16:52:52 +0800
Subject: [PATCH] ``` feat(AiMemberTalkStreamService): 添加answerV3方法以支持流式生成报告

---
 src/main/java/cc/mrbird/febs/ai/service/impl/AiMemberTalkStreamServiceImpl.java |   81 ++++++++++++++++++++++++++++------------
 1 files changed, 56 insertions(+), 25 deletions(-)

diff --git a/src/main/java/cc/mrbird/febs/ai/service/impl/AiMemberTalkStreamServiceImpl.java b/src/main/java/cc/mrbird/febs/ai/service/impl/AiMemberTalkStreamServiceImpl.java
index 001f00a..03f253e 100644
--- a/src/main/java/cc/mrbird/febs/ai/service/impl/AiMemberTalkStreamServiceImpl.java
+++ b/src/main/java/cc/mrbird/febs/ai/service/impl/AiMemberTalkStreamServiceImpl.java
@@ -11,6 +11,7 @@
 import cc.mrbird.febs.ai.res.memberTalkStream.ApiMemberTalkStreamVo;
 import cc.mrbird.febs.ai.service.*;
 import cc.mrbird.febs.ai.strategy.LlmStrategyFactory;
+import cc.mrbird.febs.ai.strategy.enumerates.LlmApplicationAppIdEnum;
 import cc.mrbird.febs.ai.strategy.enumerates.LlmStrategyEnum;
 import cc.mrbird.febs.ai.strategy.param.LlmStrategyDto;
 import cc.mrbird.febs.common.entity.FebsResponse;
@@ -30,10 +31,7 @@
 import org.springframework.transaction.annotation.Transactional;
 import reactor.core.publisher.Flux;
 
-import java.util.ArrayList;
-import java.util.Date;
-import java.util.HashMap;
-import java.util.List;
+import java.util.*;
 
 /**
  * AI用户对话训练记录 Service实现类
@@ -257,21 +255,16 @@
         llmStrategyDto = this.buildLlmStrategyDtoList(String.valueOf(type), 4);
         llmStrategyDtoList.add(llmStrategyDto);
 
-        LlmStrategyDto llmStrategyDtoMessage = buildMessages(state, memberTalkId);
-        llmStrategyDtoList.add(llmStrategyDtoMessage);
         String modelName = LlmStrategyEnum.getName(aiService.getSystemSetAiType());
-
         return llmStrategyFactory.getCalculationStrategyMap().get(modelName).llmInvokeStreamingNoThink(llmStrategyDtoList);
     }
 
-    private LlmStrategyDto buildMessages(Integer state, String memberTalkId) {
+    private LlmStrategyDto buildMessages(String memberTalkId) {
 
         LlmStrategyDto message = new LlmStrategyDto();
-        if (1!=  state){
-            return message;
-        }
         LambdaQueryWrapper<AiMemberTalkItem> memberTalkItemQuery = Wrappers.lambdaQuery(AiMemberTalkItem.class);
         memberTalkItemQuery.eq(AiMemberTalkItem::getMemberTalkId,memberTalkId);
+        memberTalkItemQuery.in(AiMemberTalkItem::getType,Arrays.asList(1, 2));
         memberTalkItemQuery.orderByAsc(AiMemberTalkItem::getCreatedTime);
         List<AiMemberTalkItem> aiMemberTalkItems = aiMemberTalkItemService.getListByQuery(memberTalkItemQuery);
         if (CollUtil.isEmpty(aiMemberTalkItems)){
@@ -287,14 +280,12 @@
             if (aiMemberTalkItem.getType() == 2){
                 llmStrategyDto.setRole(Role.USER.getValue());
             }
-            if (aiMemberTalkItem.getType() == 3){
-                llmStrategyDto.setRole(Role.ASSISTANT.getValue());
-            }
             llmStrategyDto.setContent(aiMemberTalkItem.getContext());
             messages.add(llmStrategyDto);
         }
 
         message.setRole(AiTypeEnum.MESSAGES.getName());
+        message.setContent(AiTypeEnum.MESSAGES.getName());
         message.setMessages(messages);
 
         return message;
@@ -397,25 +388,65 @@
 
         this.updateMemberTalkUpdateTime(AiTypeEnum.AI_MEMBER_TALK_STATE_DONE.getCode(), aiMemberTalk.getDoneCnt(),aiMemberTalk.getId(), new Date());
 
-        Integer type = dto.getType();
-        String contentByCode = AiTalkOutputEnum.HIGH_LIGHT.getCodeByType(type);
-        String analysis = aiMemberTalk.getAnalysis();
-        HashMap<String, String> stringStringHashMap = new HashMap<>();
-        if(StrUtil.isEmpty(analysis)){
-            stringStringHashMap.put(contentByCode,content);
-        }else{
-            stringStringHashMap = JSONUtil.toBean(analysis, HashMap.class);
-            stringStringHashMap.put(contentByCode,content);
-        }
+//        Integer type = dto.getType();
+//        String contentByCode = AiTalkOutputEnum.HIGH_LIGHT.getCodeByType(type);
+//        String analysis = aiMemberTalk.getAnalysis();
+//        HashMap<String, String> stringStringHashMap = new HashMap<>();
+//        if(StrUtil.isEmpty(analysis)){
+//            stringStringHashMap.put(contentByCode,content);
+//        }else{
+//            stringStringHashMap = JSONUtil.toBean(analysis, HashMap.class);
+//            stringStringHashMap.put(contentByCode,content);
+//        }
 
         aiMemberTalkMapper.update(
                 null,
                 Wrappers.lambdaUpdate(AiMemberTalk.class)
-                        .set(AiMemberTalk::getAnalysis,JSONUtil.toJsonStr(stringStringHashMap))
+                        .set(AiMemberTalk::getAnalysis,content)
                         .eq(AiMemberTalk::getId,aiMemberTalk.getId())
         );
 
         return new FebsResponse().success();
     }
 
+    @Override
+    public Flux<FebsResponse> answerV3(AiTalkAnswerStreamDto dto) {
+        String memberUuid = LoginUserUtil.getLoginUser().getMemberUuid();
+        String memberTalkId = dto.getId();
+        AiMemberTalk aiMemberTalk = this.getById(memberTalkId);
+        if (ObjectUtil.isNull(aiMemberTalk)){
+            throw new FebsException("对话不存在");
+        }
+
+        LambdaQueryWrapper<AiProductRoleLink> productLinkQuery = Wrappers.lambdaQuery(AiProductRoleLink.class);
+        productLinkQuery.eq(AiProductRoleLink::getProductId,aiMemberTalk.getProductId());
+        productLinkQuery.last("limit 1");
+        AiProductRoleLink aiProductRoleLink = aiProductRoleLinkService.getByQuery(productLinkQuery);
+        if(ObjectUtil.isNull(aiProductRoleLink)){
+            throw new FebsException("产品没有关联AI陪练");
+        }
+
+        String productRoleId = aiProductRoleLink.getProductRoleId();
+        AiProductRole aiProductRole = aiProductRoleService.getById(productRoleId);
+        if (ObjectUtil.isNull(aiProductRole)){
+            throw new FebsException("产品AI陪练不存在");
+        }
+
+        String promptHead = aiProductRole.getPromptHead();
+
+        List<LlmStrategyDto> llmStrategyDtoList = new ArrayList<>();
+        LlmStrategyDto llmStrategyDto = this.buildLlmStrategyDtoList(promptHead, 1);
+        llmStrategyDtoList.add(llmStrategyDto);
+        llmStrategyDto = this.buildLlmStrategyDtoList("请按照要求生成报告", 2);
+        llmStrategyDtoList.add(llmStrategyDto);
+        llmStrategyDto = this.buildLlmStrategyDtoList(String.valueOf(LlmApplicationAppIdEnum.REPORT.getCode()), 4);
+        llmStrategyDtoList.add(llmStrategyDto);
+
+        LlmStrategyDto llmStrategyDtoMessage = buildMessages(memberTalkId);
+        llmStrategyDtoList.add(llmStrategyDtoMessage);
+        String modelName = LlmStrategyEnum.getName(aiService.getSystemSetAiType());
+
+        return llmStrategyFactory.getCalculationStrategyMap().get(modelName).llmInvokeStreamingNoThink(llmStrategyDtoList);
+    }
+
 }

--
Gitblit v1.9.1