Administrator
23 hours ago 150213f652e9220557c4d33fb89b29a5962ddbbc
src/main/java/cc/mrbird/febs/ai/service/impl/AiProductQuestionServiceImpl.java
@@ -12,6 +12,7 @@
import cc.mrbird.febs.common.entity.QueryRequest;
import cc.mrbird.febs.common.exception.FebsException;
import cc.mrbird.febs.mall.entity.MallMember;
import cc.mrbird.febs.rabbit.producter.AgentProducer;
import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.util.ObjectUtil;
import cn.hutool.core.util.StrUtil;
@@ -20,6 +21,7 @@
import cn.hutool.json.JSONObject;
import cn.hutool.json.JSONUtil;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.baomidou.mybatisplus.core.conditions.update.LambdaUpdateWrapper;
import com.baomidou.mybatisplus.core.metadata.IPage;
import com.baomidou.mybatisplus.core.toolkit.Wrappers;
import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
@@ -50,6 +52,7 @@
    private final AiProductQuestionJobMapper aiProductQuestionJobMapper;
    private final AiProductQuestionItemService aiProductQuestionItemService;
    private final AiService aiService;
    private final AgentProducer agentProducer;
    @Override
    public AiProductQuestion getById(String id) {
@@ -272,17 +275,112 @@
        Integer questionCnt = dto.getQuestionCnt();
        String query = dto.getQuery();
        Integer difficulty = dto.getDifficulty();
        String promptAiSystem = dto.getPromptAiSystem();
        Date createdTime = new Date();
        AiProductQuestionJob aiProductQuestionJob = new AiProductQuestionJob();
        aiProductQuestionJob.setId(UUID.getSimpleUUIDString());
        aiProductQuestionJob.setCompanyId(companyId);
        aiProductQuestionJob.setProductCategoryId(productCategoryId);
        aiProductQuestionJob.setTitle(query);
        aiProductQuestionJob.setPromptAiSystem(promptAiSystem);
        aiProductQuestionJob.setQuestionCnt(questionCnt);
        aiProductQuestionJob.setDifficulty(difficulty);
        aiProductQuestionJob.setCreatedTime(createdTime);
        aiProductQuestionJobMapper.insert(aiProductQuestionJob);
        agentProducer.sendAddQuestionJob(aiProductQuestionJob.getId());
        return new FebsResponse().success().message("操作成功");
    }
    @Override
    public void getAddQuestion(String id) {
        try {
            AiProductQuestionJob aiProductQuestionJob = aiProductQuestionJobMapper.selectById(id);
            if (ObjectUtil.isEmpty(aiProductQuestionJob)){
                return;
            }
            Integer state = aiProductQuestionJob.getState();
            if (2 == state){
                return;
            }
            Integer questionCnt = aiProductQuestionJob.getQuestionCnt();
            Integer questionDoneCnt = aiProductQuestionJob.getQuestionDoneCnt();
            if (questionCnt <= questionDoneCnt){
                aiProductQuestionJob.setState(2);
                aiProductQuestionJobMapper.update(null,
                        Wrappers.lambdaUpdate(AiProductQuestionJob.class)
                                .set(AiProductQuestionJob::getState, 2)
                                .set(AiProductQuestionJob::getUpdatedTime, new Date())
                                .eq(AiProductQuestionJob::getId, id));
                return;
            }
            int i = questionCnt - questionDoneCnt;
            if (i >= 5){
                i = 5;
            }
            AiProductQuestionAiDto dto = new AiProductQuestionAiDto();
            String jsonFormat = "{\"question_list\":[{\"title\": \"消费者对透明质酸的主要担忧是什么?\",\"answer_list\":[{\"answer\": \"消费者担心透明质酸维持时间短,效果不明显。\",\"type\": 1,\"analysis\": \"\"},{\"answer\": \"消费者担心透明质酸注射后可能出现移位、凹陷、馒化、僵硬以及炎症反应。\",\"type\": 1,\"analysis\": \"\"},{\"answer\": \"消费者的主要担忧包括效果不明显、维持时间短、注射后出现移位、凹陷、馒化、僵硬以及炎症反应。他们希望既达到理想效果,又避免这些副作用。\",\"type\": 2,\"analysis\": \"标准答案涵盖了消费者对透明质酸的所有主要担忧,既包括效果问题,也涵盖副作用风险,全面反映消费者心理需求。\"}]}]} ";
            dto.setJsonFormat(jsonFormat);
            dto.setCompanyId(aiProductQuestionJob.getCompanyId());
            dto.setProductCategoryId(aiProductQuestionJob.getProductCategoryId());
            dto.setQuery(aiProductQuestionJob.getTitle());
            dto.setPromptAiSystem(aiProductQuestionJob.getPromptAiSystem());
            dto.setQuestionCnt(i);
            dto.setDifficulty(aiProductQuestionJob.getDifficulty());
            String questionAndAnswerStr = aiService.llmInvokeNonStreaming(dto);
            log.info("问题答案: " + questionAndAnswerStr);
            // 解析AI返回的结果
            List<JSONObject> questionList = parseAiQuestionResponse(questionAndAnswerStr);
            if (CollUtil.isNotEmpty(questionList)){
                String productCategoryId = dto.getProductCategoryId();
                Integer difficulty = dto.getDifficulty();
                Date createdTime = new Date();
                // 处理解析后的问题列表
                for (JSONObject questionObj : questionList) {
                    String title = questionObj.getStr("title");
                    AiProductQuestion aiProductQuestion = new AiProductQuestion();
                    aiProductQuestion.setId(UUID.getSimpleUUIDString());
                    aiProductQuestion.setCompanyId(dto.getCompanyId());
                    aiProductQuestion.setProductCategoryId(productCategoryId);
                    aiProductQuestion.setTitle(title);
                    aiProductQuestion.setDifficulty(difficulty);
                    aiProductQuestion.setCreatedTime(createdTime);
                    this.save(aiProductQuestion);
                    JSONArray answerList = questionObj.getJSONArray("answer_list");
                    for (int j = 0; j < answerList.size(); j++) {
                        JSONObject answer = answerList.getJSONObject(j);
                        System.out.println("答案" + (j+1) + ": " + answer.getStr("answer"));
                        System.out.println("类型: " + answer.getStr("type"));
                        System.out.println("分析: " + answer.getStr("analysis"));
                        AiProductQuestionItem aiProductQuestionItem = new AiProductQuestionItem();
                        aiProductQuestionItem.setId(UUID.getSimpleUUIDString());
                        aiProductQuestionItem.setCompanyId(dto.getCompanyId());
                        aiProductQuestionItem.setProductQuestionId(aiProductQuestion.getId());
                        aiProductQuestionItem.setTitle(aiProductQuestion.getTitle());
                        aiProductQuestionItem.setAnswer(answer.getStr("answer"));
                        aiProductQuestionItem.setCorrectAnswer(answer.getInt("type") == 2 ? 1 : 0);
                        aiProductQuestionItem.setAnswerAnalysis(answer.getStr("analysis"));
                        aiProductQuestionItem.setCreatedTime(createdTime);
                        aiProductQuestionItemService.getBaseMapper().insert(aiProductQuestionItem);
                    }
                }
                aiProductQuestionJobMapper.update(null,
                        Wrappers.lambdaUpdate(AiProductQuestionJob.class)
                                .set(AiProductQuestionJob::getQuestionDoneCnt, questionDoneCnt + questionList.size())
                                .set(AiProductQuestionJob::getUpdatedTime, new Date())
                                .set(AiProductQuestionJob::getState, 1)
                                .eq(AiProductQuestionJob::getId, id));
            }
            AiProductQuestionJob aiProductQuestionJobDone = aiProductQuestionJobMapper.selectById(id);
            if (2 != aiProductQuestionJobDone.getState()){
                agentProducer.sendAddQuestionJob(id);
            }
        } catch (Exception e) {
            agentProducer.sendAddQuestionJob(id);
            log.error("知识库异常", e);
        }
    }
    /**
@@ -290,22 +388,24 @@
     * @param aiResponse AI返回的原始响应字符串
     * @return 解析后的问题列表
     */
    public List<JSONObject> parseAiQuestionResponse(String aiResponse) {
    public static List<JSONObject> parseAiQuestionResponse(String aiResponse) {
        try {
            // 解析外层JSON
            JSONObject outerJson = JSONUtil.parseObj(aiResponse);
            // 提取output字段
            String output = outerJson.getStr("output");
            log.info("原始输出内容: {}", output);
            // 去除<start>和</start>标签,并清理多余字符
            String jsonContent = output.replace("<start>", "")
                    .replace("</start>", "")
                    .replace("\\n", "")
                    .replace("\\n", "")
                    .replace("\\\"", "\"")
                    .trim();
            log.info("清理后JSON内容: {}", jsonContent);
            // 解析内部JSON
            JSONObject innerJson = JSONUtil.parseObj(jsonContent);
@@ -321,4 +421,11 @@
        }
    }
    public static void main(String[] args) {
        String s = "{\"output\":\"<start>{\\\"question_list\\\":[{\\\"title\\\":\\\"根据知识库内容,调整T区的三大作用分别是什么?请逐条准确列举。\\\",\\\"answer_list\\\":[{\\\"answer\\\":\\\"1.提升折叠度;2.调整面部比例;3.提升骨性支撑力\\\",\\\"type\\\":2,\\\"analysis\\\":\\\"原文明确列出:'1.提升折叠度(增加正面、侧面转折落差,减少扁平感);2.调整面部比例(通过T区的纵向与横线的调整,优化三庭五眼、四高三底);3.提升骨性支撑力(为软组织提供坚实的\\\\\\\"地基\\\\\\\"抗衰并提升高级的骨感)'\\\"},{\\\"answer\\\":\\\"1.提升折叠度;2.调整三庭五眼;3.增强软组织弹性\\\",\\\"type\\\":1,\\\"analysis\\\":\\\"\\\"},{\\\"answer\\\":\\\"1.提升立体感;2.优化面部比例;3.强化韧带支撑\\\",\\\"type\\\":1,\\\"analysis\\\":\\\"\\\"}]}]}</start>\"}";
        List<JSONObject> questionList = parseAiQuestionResponse(s);
        System.out.println(questionList);
    }
}