From 753df81a02287acd5af16ef83eccd0a295530584 Mon Sep 17 00:00:00 2001
From: Administrator <15274802129@163.com>
Date: Thu, 30 Oct 2025 10:46:36 +0800
Subject: [PATCH] feat(ai): 简化AI对话项创建逻辑并新增连续对话类型 - 移除复杂的对话项更新逻辑，统一通过add方法创建新项 - 新增AiTalkOutputEnum枚举值CONTEXT_TALK用于AI陪练连续对话 - 更新ApiMemberTalkAnswerSavaDto注释以包含新的对话类型 - 修复对话项创建时类型参数未正确传递的问题 - 优化代码结构，减少冗余的条件判断和数据转换操作
---
src/main/java/cc/mrbird/febs/ai/service/impl/AiMemberTalkStreamServiceImpl.java | 143 +++++++++++++++++++++++++++++++++++++++--------
1 files changed, 119 insertions(+), 24 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 03f253e..097f231 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
@@ -5,7 +5,10 @@
import cc.mrbird.febs.ai.enumerates.AiTypeEnum;
import cc.mrbird.febs.ai.mapper.AiMemberTalkMapper;
import cc.mrbird.febs.ai.req.memberTalk.ApiMemberTalkItemPageDto;
+import cc.mrbird.febs.ai.req.memberTalk.ApiTalkMemberListDto;
+import cc.mrbird.febs.ai.req.memberTalk.ApiTalkReportListDto;
import cc.mrbird.febs.ai.req.memberTalkStream.*;
+import cc.mrbird.febs.ai.req.memberTalk.ApiMemberTalkListDto;
import cc.mrbird.febs.ai.res.memberTalk.ApiMemberTalkMemberAnswerSavaVo;
import cc.mrbird.febs.ai.res.memberTalkStream.ApiMemberTalkReloadStreamVo;
import cc.mrbird.febs.ai.res.memberTalkStream.ApiMemberTalkStreamVo;
@@ -53,6 +56,7 @@
private final AiProductQuestionService aiProductQuestionService;
private final LlmStrategyFactory llmStrategyFactory;
private final AiService aiService;
+ private final AiCompanyWorkflowService aiCompanyWorkflowService;
@Override
@@ -79,6 +83,7 @@
query.eq(AiMemberTalk::getMemberId,memberUuid);
query.eq(AiMemberTalk::getProductId,productId);
query.eq(AiMemberTalk::getState,AiTypeEnum.AI_MEMBER_TALK_STATE_ING.getCode());
+ query.orderByDesc(AiMemberTalk::getCreatedTime);
query.last("limit 1");
AiMemberTalk aiMemberTalk = aiMemberTalkService.getByQuery(query);
if (ObjectUtil.isNull(aiMemberTalk)){
@@ -101,6 +106,106 @@
apiMemberTalkVo.setDoneCnt(aiMemberTalk.getDoneCnt() + 1);
return new FebsResponse().success().data(apiMemberTalkVo);
}
+
+ @Override
+ public Flux<FebsResponse> startV2(ApiMemberTalkStreamV2Dto 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.getModelId();
+
+ List<LlmStrategyDto> llmStrategyDtoList = new ArrayList<>();
+ LlmStrategyDto llmStrategyDto = this.buildLlmStrategyDtoList(promptHead, 1);
+ llmStrategyDtoList.add(llmStrategyDto);
+ llmStrategyDto = this.buildLlmStrategyDtoList("请按照上下文内容，进行对话的延续，例如提出一个相关的问题或者对内容进行一个延续", 2);
+ llmStrategyDtoList.add(llmStrategyDto);
+
+ AiCompanyWorkflow aiCompanyWorkflow = aiCompanyWorkflowService.getByTypeAndCompanyId(LlmApplicationAppIdEnum.CONTEXT_TALK.getCode(),aiMemberTalk.getCompanyId());
+ if (ObjectUtil.isNull(aiCompanyWorkflow)){
+ throw new FebsException("工作流配置异常，请联系管理员");
+ }
+ llmStrategyDto = this.buildLlmStrategyDtoList(aiCompanyWorkflow.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);
+ }
+
+ @Override
+ public FebsResponse talkList(ApiMemberTalkListDto dto) {
+
+ return new FebsResponse().success().data(aiMemberTalkService.getPageByDto(dto));
+ }
+
+ @Override
+ public FebsResponse talkMemberList(ApiTalkMemberListDto dto) {
+
+ return new FebsResponse().success().data(aiMemberTalkItemService.getPageByDto(dto));
+ }
+
+ @Override
+ public Flux<FebsResponse> talkReportList(ApiTalkReportListDto dto) {
+ String memberTalkId = dto.getMemberTalkId();
+ AiMemberTalk byId = aiMemberTalkService.getById(memberTalkId);
+ String analysis = byId.getAnalysis();
+
+ if (StrUtil.isEmpty(analysis)) {
+ return Flux.just(new FebsResponse().success().data(""));
+ }
+
+ // 将分析报告分块，每块100个字符
+ return Flux.generate(
+ () -> 0, // 初始状态
+ (index, sink) -> {
+ int endIndex = Math.min(index + 100, analysis.length());
+ String chunk = analysis.substring(index, endIndex);
+
+ Map<String, Object> responseData = new HashMap<>();
+ responseData.put("chunk", chunk);
+ responseData.put("isLast", endIndex >= analysis.length());
+ responseData.put("progress", Math.min(100, (endIndex * 100) / analysis.length()));
+
+ sink.next(new FebsResponse().success().data(responseData));
+
+ if (endIndex >= analysis.length()) {
+ sink.complete();
+ return index; // 结束状态
+ }
+
+ return endIndex; // 下一次的起始索引
+ }
+ );
+ }
+
+ @Override
+ public FebsResponse talkReportListV2(ApiTalkReportListDto dto) {
+ String memberTalkId = dto.getMemberTalkId();
+ AiMemberTalk byId = aiMemberTalkService.getById(memberTalkId);
+ return new FebsResponse().success().data(byId.getAnalysis());
+ }
+
@Override
public FebsResponse reload(ApiMemberTalkReloadStreamDto dto) {
@@ -252,7 +357,12 @@
llmStrategyDtoList.add(llmStrategyDto);
llmStrategyDto = this.buildLlmStrategyDtoList(answer, 2);
llmStrategyDtoList.add(llmStrategyDto);
- llmStrategyDto = this.buildLlmStrategyDtoList(String.valueOf(type), 4);
+
+ AiCompanyWorkflow aiCompanyWorkflow = aiCompanyWorkflowService.getByTypeAndCompanyId(type,aiMemberTalk.getCompanyId());
+ if (ObjectUtil.isNull(aiCompanyWorkflow)){
+ throw new FebsException("工作流配置异常，请联系管理员");
+ }
+ llmStrategyDto = this.buildLlmStrategyDtoList(aiCompanyWorkflow.getCode(), 4);
llmStrategyDtoList.add(llmStrategyDto);
String modelName = LlmStrategyEnum.getName(aiService.getSystemSetAiType());
@@ -336,28 +446,8 @@
this.updateMemberTalkUpdateTime(aiMemberTalk.getState(),aiMemberTalk.getDoneCnt(),aiMemberTalk.getId(), new Date());
String companyId = aiMemberTalk.getCompanyId();
- Integer type = dto.getType();
- String memberTalkItemId;
- String contentByCode = AiTalkOutputEnum.HIGH_LIGHT.getCodeByType(type);
- if(StrUtil.isEmpty(dto.getMemberTalkItemId())){
- HashMap<String, String> stringStringHashMap = new HashMap<>();
- stringStringHashMap.put(contentByCode,content);
- AiMemberTalkItem add = aiMemberTalkItemService.add(memberUuid, memberTalkId,companyId, 3, JSONUtil.toJsonStr(stringStringHashMap), new Date());
- memberTalkItemId = add.getId();
- }else{
- memberTalkItemId = dto.getMemberTalkItemId();
- AiMemberTalkItem aiMemberTalkItem = aiMemberTalkItemService.getById(memberTalkItemId);
- String context = aiMemberTalkItem.getContext();
- HashMap<String, String> stringStringHashMap = JSONUtil.toBean(context, HashMap.class);
- stringStringHashMap.put(contentByCode,content);
- aiMemberTalkItemService.update(null,
- Wrappers.lambdaUpdate(AiMemberTalkItem.class)
- .set(AiMemberTalkItem::getContext,JSONUtil.toJsonStr(stringStringHashMap))
- .set(AiMemberTalkItem::getUpdatedTime,new Date())
- .set(AiMemberTalkItem::getRevision,aiMemberTalkItem.getRevision()+1)
- .eq(AiMemberTalkItem::getId,memberTalkItemId)
- );
- }
+ AiMemberTalkItem add = aiMemberTalkItemService.add(memberUuid, memberTalkId,companyId, 1, content, new Date());
+ String memberTalkItemId = add.getId();
HashMap<String, String> stringStringHashMap = new HashMap<>();
stringStringHashMap.put("memberTalkItemId",memberTalkItemId);
@@ -439,7 +529,12 @@
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);
+
+ AiCompanyWorkflow aiCompanyWorkflow = aiCompanyWorkflowService.getByTypeAndCompanyId(LlmApplicationAppIdEnum.REPORT.getCode(),aiMemberTalk.getCompanyId());
+ if (ObjectUtil.isNull(aiCompanyWorkflow)){
+ throw new FebsException("工作流配置异常，请联系管理员");
+ }
+ llmStrategyDto = this.buildLlmStrategyDtoList(aiCompanyWorkflow.getCode(), 4);
llmStrategyDtoList.add(llmStrategyDto);
LlmStrategyDto llmStrategyDtoMessage = buildMessages(memberTalkId);
--
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