fix: 修复 load_data_with_page 的 count 查询和 params 副作用

- 用子查询包裹原始查询来计数，不再依赖字符串替换
- 每次分页前复制 params 避免修改调用方的字典

database/db/mysql.py

@@ -52,28 +52,30 @@ class MySqlDatabaseHelper:
     def load_data_with_page(self, query, params, page_size=100000):
         """分页查询数据"""
         data = pd.DataFrame()
-        count_query = text(query.replace("SELECT *", "SELECT COUNT(*)"))
+        # 用子查询包裹原始查询来计数，避免字符串替换
+        count_query = text(f"SELECT COUNT(*) FROM ({query}) AS _count_subq")
         query += " LIMIT :limit OFFSET :offset"
         query = text(query)
-    
+
         # 获取总行数
         total_rows = self.fetch_one(count_query, params)[0]
 
         page = 1
-        with tqdm(total=total_rows, desc="Loading data", unit="rows") as pbar:  # 初始化进度条
+        with tqdm(total=total_rows, desc="Loading data", unit="rows") as pbar:
             while True:
-                offset = (page - 1) * page_size  # 计算偏移量
-                params["limit"] = page_size
-                params["offset"] = offset
+                offset = (page - 1) * page_size
+                # 复制 params 避免修改调用方的字典
+                page_params = dict(params)
+                page_params["limit"] = page_size
+                page_params["offset"] = offset
 
-                df = pd.DataFrame(self.fetch_all(query, params))
+                df = pd.DataFrame(self.fetch_all(query, page_params))
                 if df.empty:
                     break
                 data = pd.concat([data, df], ignore_index=True)
-            
-                # 更新进度条
-                pbar.update(len(df))  # 更新进度条的行数
-            
+
+                pbar.update(len(df))
+
                 page += 1
         return data