From 6fb9052c35348987cb4876cfab65f59d0558ab1b Mon Sep 17 00:00:00 2001
From: Administrator <15274802129@163.com>
Date: Fri, 05 Sep 2025 16:17:04 +0800
Subject: [PATCH] feat(ai): 添加 AI 生成题目的功能
---
src/main/java/cc/mrbird/febs/ai/service/impl/AiProductQuestionServiceImpl.java | 119 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++-
1 files changed, 117 insertions(+), 2 deletions(-)
diff --git a/src/main/java/cc/mrbird/febs/ai/service/impl/AiProductQuestionServiceImpl.java b/src/main/java/cc/mrbird/febs/ai/service/impl/AiProductQuestionServiceImpl.java
index b33a42b..24d05ec 100644
--- a/src/main/java/cc/mrbird/febs/ai/service/impl/AiProductQuestionServiceImpl.java
+++ b/src/main/java/cc/mrbird/febs/ai/service/impl/AiProductQuestionServiceImpl.java
@@ -11,6 +11,9 @@
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;
@@ -166,9 +169,121 @@
}
@Override
- public FebsResponse aiCreate(AiProductQuestionAiDto dto) {
+ 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);
- return null;
+ // 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("\\\"", "\"")
+ .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);
+ }
+ }
+
+ public static void main(String[] args) {
+ String questionStr = "{\"output\":\"<start>\\n{\\n \\\"question_list\\\": [\\n {\\n \\\"title\\\": \\\"1. 如何通过菲欧曼品牌背景和价值塑造透明质酸产品的高端形象？\\\",\\n \\\"answer_list\\\": [\\n {\\n \\\"answer\\\": \\\"强调菲欧曼拥有45年历史，是法国第一家医学美容实验室，产品行销全球60多个国家，树立其国际权威形象。\\\",\\n \\\"type\\\": \\\"2\\\",\\n \\\"analysis\\\": \\\"该答案全面结合品牌历史、科研投入及市场影响力，系统塑造高端定位，符合标准答案要求。\\\"\\n },\\n {\\n \\\"answer\\\": \\\"通过讲述菲欧曼产品获得欧盟CE、中国NMPA等国际认证，强调其安全性和合规性。\\\",\\n \\\"type\\\": \\\"1\\\",\\n \\\"analysis\\\": \\\"\\\"\\n },\\n {\\n \\\"answer\\\": \\\"通过明星使用、医生推荐等口碑效应，提升菲欧曼在消费者心中的高端认知。\\\",\\n \\\"type\\\": \\\"1\\\",\\n \\\"analysis\\\": \\\"\\\"\\n }\\n ]\\n }\\n ]\\n}\\n</start>\"}";
+ // 第一步：解析外层JSON
+ JSONObject outerJson = JSONUtil.parseObj(questionStr);
+
+ // 第二步：提取output字段
+ String output = outerJson.getStr("output");
+
+ // 第三步：去除<start>和</start>标签
+ String jsonContent = output.replace("<start>", "").replace("</start>", "").trim();
+
+ // 第四步：解析内部的JSON
+ JSONObject innerJson = JSONUtil.parseObj(jsonContent);
+
+ // 第五步：提取question_list
+ JSONArray questionList = innerJson.getJSONArray("question_list");
+
+ // 遍历问题列表
+ for (int i = 0; i < questionList.size(); i++) {
+ JSONObject question = questionList.getJSONObject(i);
+
+ System.out.println("问题标题: " + question.getStr("title"));
+
+ JSONArray answerList = question.getJSONArray("answer_list");
+ System.out.println("答案列表:");
+
+ // 遍历答案列表
+ 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"));
+ System.out.println();
+ }
+ }
+
}
}
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