refactor: 重构文件读取和日志处理以提升性能和稳定性

- 新增 smart_read_excel 工具函数，统一 Excel 读取逻辑并自动选择引擎
- 重构 ConfigManager.get_path 方法，使用 pathlib 提升路径处理可靠性
- 将 GUI 日志处理改为异步队列模式，避免 UI 阻塞
- 优化 ExcelProcessor 的表头识别逻辑，避免重复读取文件
- 更新配置文件中的版本号

app/services/order_service.py

@@ -122,21 +122,15 @@ class OrderService:
         try:
             import pandas as pd
             import os
+            from app.core.utils.file_utils import smart_read_excel
             
-            def _read_df(path):
-                ap = os.path.abspath(path)
-                if ap.lower().endswith('.xlsx'):
-                    return pd.read_excel(ap, engine='openpyxl')
-                else:
-                    return pd.read_excel(ap, engine='xlrd')
-                    
             item_path = os.path.join('templates', '商品资料.xlsx')
             if not os.path.exists(item_path):
                 logger.warning(f"未找到商品资料文件: {item_path}")
                 return []
                 
-            df_item = _read_df(item_path)
-            df_res = _read_df(result_path)
+            df_item = smart_read_excel(item_path)
+            df_res = smart_read_excel(result_path)
             
             def _find_col(df, candidates, contains=None):
                 cols = list(df.columns)

app/services/special_suppliers_service.py

@@ -41,10 +41,11 @@ class SpecialSuppliersService:
                                 return c
                 return None
 
+            from app.core.utils.file_utils import smart_read_excel
             try:
-                df_raw = pd.read_excel(src_path, header=2)
+                df_raw = smart_read_excel(src_path, header=2)
             except Exception:
-                df_raw = pd.read_excel(src_path)
+                df_raw = smart_read_excel(src_path)
                 df_raw = df_raw.iloc[2:].reset_index(drop=True)
 
             # 去除全空列与行

app/services/tobacco_service.py

@@ -165,8 +165,9 @@ class TobaccoService:
         columns = ['商品', '盒码', '条码', '建议零售价', '批发价', '需求量', '订单量', '金额']
         
         try:
+            from app.core.utils.file_utils import smart_read_excel
             # 读取Excel文件
-            df_old = pd.read_excel(file_path, header=None, skiprows=3, names=columns)
+            df_old = smart_read_excel(file_path, header=None, skiprows=3, names=columns)
             
             # 过滤订单量不为0的数据，并计算采购量和单价
             df_filtered = df_old[df_old['订单量'] != 0].copy()