优化排序结果不足时的处理逻辑

long-article-server/src/main/java/com/tzld/piaoquan/longarticle/service/local/impl/ContentServiceImpl.java

@@ -243,6 +243,7 @@ public class ContentServiceImpl implements ContentService {
                     "accountName：%s \n",
                     planAccount.getPlanId(), planAccount.getPlanName(), planAccount.getAccountId(), planAccount.getAccountName());
             LarkRobotUtil.sendMessage(message);
+            triggerRebuildRecommend(planAccount, articleSortRequest);
             return new ArrayList<>();
         }
         ArticleSortResponseData data = articleSortResponse.getData();
@@ -258,16 +259,18 @@ public class ContentServiceImpl implements ContentService {
             param.setFilterSortContentList(list);
             aigcService.filterSortContents(param);
         }
-        if (CollectionUtils.isEmpty(articleSortResponse.getData().getRank_list())
-                || articleSortResponse.getData().getRank_list().size() < (planAccount.getPublishPreMinNum() - excludeContentSum)) {
-            log.info("rank_list = {}", articleSortResponse.getData().getRank_list());
+        List<PublishArticleData> rankList = data.getRank_list();
+        if (CollectionUtils.isEmpty(rankList)
+                || rankList.size() < (planAccount.getPublishPreMinNum() - excludeContentSum)) {
+            int rankListSize = CollectionUtils.isEmpty(rankList) ? 0 : rankList.size();
+            log.info("rank_list = {}", rankList);
             String message = String.format("排序结果不足 \n" +
                             "planId：%s \n" +
                             "planName：%s \n" +
                             "accountId：%s \n" +
                             "accountName：%s \n" +
                             "num：%s",
-                    planAccount.getPlanId(), planAccount.getPlanName(), planAccount.getAccountId(), planAccount.getAccountName(), articleSortResponse.getData().getRank_list().size());
+                    planAccount.getPlanId(), planAccount.getPlanName(), planAccount.getAccountId(), planAccount.getAccountName(), rankListSize);
             LarkRobotUtil.sendMessage(message);
             // 清除待发布缓存，成功后异步触发一次 /recommend 重建数据
             triggerRebuildRecommend(planAccount, articleSortRequest);
@@ -277,7 +280,7 @@ public class ContentServiceImpl implements ContentService {
     }
 
     /**
-     * 排序结果不足时调用：
+     * 排序结果为空或不足时调用：
      * 1. 调用 /deleteGzhWaiting 清除当前 planId + accountId 的待发布缓存
      * 2. 清除成功后异步触发一次 /recommend 重新生成排序数据（不关心返回结果）
      */