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>

db/production_order_query.py

@@ -34,17 +34,25 @@ def query_production_order_numbers(production_ids):
     if not production_ids:
         return []
 
-    # 构建 IN 子句的占位符
+    # SQL Server 限制每个查询最多 2100 个参数
-    placeholders = ','.join(['?' for _ in production_ids])
+    BATCH_SIZE = 2000
+    all_results = []
 
-    query = f"""
+    # 分批查询
-        SELECT [生产订单号]
+    for i in range(0, len(production_ids), BATCH_SIZE):
-        FROM [productionContractData].[26年压力表合同数据]
+        batch = production_ids[i:i + BATCH_SIZE]
-        WHERE [总排号] IN ({placeholders})
+        placeholders = ','.join(['?' for _ in batch])
-    """
 
-    with get_connection() as conn:
+        query = f"""
-        results = conn.execute_query(query, tuple(production_ids))
+            SELECT [生产订单号]
-        # 提取生产订单号并去除空值
+            FROM [productionContractData].[26年压力表合同数据]
-        production_order_numbers = [row['生产订单号'] for row in results if row['生产订单号']]
+            WHERE [总排号] IN ({placeholders})
-        return production_order_numbers
+        """
+
+        with get_connection() as conn:
+            results = conn.execute_query(query, tuple(batch))
+            # 提取生产订单号并去除空值
+            batch_numbers = [row['生产订单号'] for row in results if row['生产订单号']]
+            all_results.extend(batch_numbers)
+
+    return all_results

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）
+        # R列索引为17（Python从0开始）
-        material_names = df.iloc[:, 16].dropna().unique().tolist()
+        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],