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
-    placeholders = ','.join(['?' for _ in production_ids])
+    # SQL Server 限制每个查询最多 2100 个参数
+    BATCH_SIZE = 2000
+    all_results = []
 
-    query = f"""
-        SELECT [生产订单号]
-        FROM [productionContractData].[26年压力表合同数据]
-        WHERE [总排号] IN ({placeholders})
-    """
+    # 分批查询
+    for i in range(0, len(production_ids), BATCH_SIZE):
+        batch = production_ids[i:i + BATCH_SIZE]
+        placeholders = ','.join(['?' for _ in batch])
 
-    with get_connection() as conn:
-        results = conn.execute_query(query, tuple(production_ids))
-        # 提取生产订单号并去除空值
-        production_order_numbers = [row['生产订单号'] for row in results if row['生产订单号']]
-        return production_order_numbers
+        query = f"""
+            SELECT [生产订单号]
+            FROM [productionContractData].[26年压力表合同数据]
+            WHERE [总排号] IN ({placeholders})
+        """
+
+        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