From 90ffd3da2f2d9006639a9af82170e85629c3a035 Mon Sep 17 00:00:00 2001
From: Administrator <15274802129@163.com>
Date: Mon, 02 Feb 2026 17:44:36 +0800
Subject: [PATCH] refactor(ai): 优化AI产品问答服务实现
---
src/main/java/cc/mrbird/febs/ai/service/impl/AiProductQuestionServiceImpl.java | 176 +++++++++++++++++++++++++++++++---------------------------
1 files changed, 95 insertions(+), 81 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 e6441a1..d078618 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
@@ -294,87 +294,92 @@
@Override
public void getAddQuestion(String id) {
- 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 >= 10){
- i = 10;
- }
- 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);
- }
+ try {
+ AiProductQuestionJob aiProductQuestionJob = aiProductQuestionJobMapper.selectById(id);
+ if (ObjectUtil.isEmpty(aiProductQuestionJob)){
+ return;
}
- 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()){
+ 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 >= 10){
+ i = 10;
+ }
+ 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);
}
}
@@ -383,22 +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);
@@ -414,4 +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);
+
+ }
+
}
--
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