超过2000G的提醒处理

tools/t7.py

@@ -527,8 +527,13 @@ class AutoLayout:
         no_ori_data = ori_library_df[~(numeric_mask & time_mask) | status_mask | barcode_mask]
 
         # 某个客户的检测的数据超过1个T就单独处理
-        # summary = ori_library_df.groupby('customer').agg({'data_needed': 'sum'})
-        # print(summary)
+        summary = ori_library_df.groupby('customer').agg({'data_needed': 'sum'})
+        summary_dict = summary['data_needed'].to_dict()
+        for customer_sum, data_needed_sum in summary_dict.items():
+            if not data_needed_sum:
+                continue
+            if float(data_needed_sum) > 2000 :
+                self.return_log.append(f'客户 {customer_sum} 本次排样超过 2000G 建议包lane 处理')
 
         self.no_assign_data.extend(no_ori_data.to_dict('records'))