``` feat(AiMemberTalkStreamService): 添加answerV3方法以支持流式生成报告

Administrator

yesterday 85069103bd0b1a801924c660daad78aedd0bfb6c

 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);
    }

}