fix: handle large dataset queries and type conversion

- Add batch processing to production order query to handle SQL Server's 2100 parameter limit
- Fix material name column index from Q to R column
- Add string type conversion to prevent TypeError in material matching

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

utils/material_status_validator.py

@@ -43,8 +43,10 @@ class MaterialStatusValidator:
             List[str]: 去重后的材料名称列表
         """
         df = pd.read_excel(excel_file)
-        # Q列索引为16（Python从0开始）
-        material_names = df.iloc[:, 16].dropna().unique().tolist()
+        # R列索引为17（Python从0开始）
+        material_names = df.iloc[:, 17].dropna().unique().tolist()
+        # 确保所有元素都是字符串类型
+        material_names = [str(name) for name in material_names]
         return material_names
 
     def match_materials(self, material_names: List[str],