Administrator
2025-09-05 d7e5728e207bf0ac67d3a9f6684e60dff31e21a5
src/main/java/cc/mrbird/febs/ai/service/impl/AiProductQuestionServiceImpl.java
@@ -2,18 +2,26 @@
import cc.mrbird.febs.ai.entity.*;
import cc.mrbird.febs.ai.mapper.AiProductQuestionMapper;
import cc.mrbird.febs.ai.req.AiProductQuestionAiDto;
import cc.mrbird.febs.ai.service.AiProductQuestionItemService;
import cc.mrbird.febs.ai.service.AiProductQuestionService;
import cc.mrbird.febs.ai.service.AiService;
import cc.mrbird.febs.ai.util.UUID;
import cc.mrbird.febs.common.entity.FebsResponse;
import cc.mrbird.febs.common.entity.QueryRequest;
import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.util.ObjectUtil;
import cn.hutool.json.JSONArray;
import cn.hutool.json.JSONObject;
import cn.hutool.json.JSONUtil;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.baomidou.mybatisplus.core.metadata.IPage;
import com.baomidou.mybatisplus.core.toolkit.Wrappers;
import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.SerializationFeature;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Service;
@@ -35,6 +43,7 @@
    private final AiProductQuestionMapper aiProductQuestionMapper;
    private final AiProductQuestionItemService aiProductQuestionItemService;
    private final AiService aiService;
    @Override
    public AiProductQuestion getById(String id) {
@@ -162,4 +171,86 @@
        return aiProductQuestionMapper.selectList(aiProductQuestionLambdaQueryWrapper);
    }
    @Override
    public FebsResponse aiAdd(AiProductQuestionAiDto dto) {
        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);
        String questionAndAnswerStr = aiService.llmInvokeNonStreaming(dto);
        System.out.println(questionAndAnswerStr);
        // 解析AI返回的结果
        List<JSONObject> questionList = parseAiQuestionResponse(questionAndAnswerStr);
        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.setProductCategoryId(productCategoryId);
            aiProductQuestion.setTitle(title);
            aiProductQuestion.setDifficulty(difficulty);
            aiProductQuestion.setCreatedTime(createdTime);
            this.save(aiProductQuestion);
            JSONArray answerList = questionObj.getJSONArray("answer_list");
            System.out.println("问题: " + title);
            for (int i = 0; i < answerList.size(); i++) {
                JSONObject answer = answerList.getJSONObject(i);
                System.out.println("答案" + (i+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.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);
            }
        }
        return new FebsResponse().success().message("操作成功");
    }
    /**
     * 解析AI返回的包含问题和答案的JSON字符串
     * @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) {
        try {
            // 解析外层JSON
            JSONObject outerJson = JSONUtil.parseObj(aiResponse);
            // 提取output字段
            String output = outerJson.getStr("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();
            // 解析内部JSON
            JSONObject innerJson = JSONUtil.parseObj(jsonContent);
            // 提取question_list
            JSONArray questionList = innerJson.getJSONArray("question_list");
            // 转换为List<JSONObject>返回
            return questionList.toList(JSONObject.class);
        } catch (Exception e) {
            log.error("解析AI问题响应失败: ", e);
            throw new RuntimeException("解析AI响应失败", e);
        }
    }
}