update pay ui

app_vx.py

@@ -5920,7 +5920,6 @@ def api_calendar_events():
                        fact, \
                        related_stocks, \
                        concepts, \
-                       inferred_tag, \
                        second_modified_text, \
                        `second_modified_text.1` as second_modified_text_1, \
                        best_matches
@@ -5947,11 +5946,6 @@ def api_calendar_events():
                 query += f" AND star IN ({placeholders})"
                 for i, imp in enumerate(importance_list):
                     params[f'imp_{i}'] = imp
-        if category != 'all':
-            # category参数用于筛选inferred_tag字段（如"大周期"、"大消费"等）
-            query += " AND inferred_tag = :category"
-            params['category'] = category
-
         # 新增搜索条件
         if search_query:
             # 使用LIKE进行模糊搜索，同时搜索title和related_stocks字段
@@ -5992,9 +5986,6 @@ def api_calendar_events():
             elif len(importance_list) > 1:
                 placeholders = ', '.join([f':imp_{i}' for i in range(len(importance_list))])
                 count_query += f" AND star IN ({placeholders})"
-        if category != 'all':
-            count_query += " AND inferred_tag = :category"
-
         # 新增搜索条件到计数查询
         if search_query:
             count_query += """ AND (
@@ -6157,11 +6148,9 @@ def api_calendar_events():
                 'category': {
                     'event_type': event.type,
                     'importance': event.star,
-                    'star_rating': star_rating,
-                    'inferred_tag': event.inferred_tag  # 添加inferred_tag到返回数据
+                    'star_rating': star_rating
                 },
                 'star_rating': star_rating,
-                'inferred_tag': event.inferred_tag,  # 直接返回行业标签
                 'related_concepts': related_concepts,
                 'related_stocks': related_stocks_list,
                 'related_avg_chg': round(related_avg_chg, 2),