diff --git a/tools/t7.py b/tools/t7.py
index 854754a..c3e6c0f 100644
--- a/tools/t7.py
+++ b/tools/t7.py
@@ -493,12 +493,14 @@ class AutoLayout:
 
         # 非正常barcode
         barcode_mask = ori_library_df['indexi5i7'].str.len() != 16
+        ori_library_df.loc[barcode_mask, 'indexi5i7'] = ori_library_df.loc[barcode_mask, 'indexi5'].str[-8:] + \
+                                                   ori_library_df.loc[barcode_mask, 'indexi7'].str[-8:]
 
         ori_library_df['note'] = ''
         ori_library_df.loc[~numeric_mask, 'note'] = 'data_needed 列非数字'
         ori_library_df.loc[~time_mask, 'note'] = 'time 列非日期'
-        ori_library_df.loc[barcode_mask, 'note'] = '非16位barcode'
-        no_ori_data = ori_library_df[~(numeric_mask & time_mask) | barcode_mask]
+        # ori_library_df.loc[barcode_mask, 'note'] = '非16位barcode'
+        no_ori_data = ori_library_df[~(numeric_mask & time_mask)]
 
         self.no_assign_data.extend(no_ori_data.to_dict('records'))
 
@@ -693,6 +695,7 @@ class AutoLayout:
         writer = pd.ExcelWriter(outputpath)
 
         res = list()
+        sum_res = list()
         chip_loc = 1
         librarynum = 0
         for chip_idx, chip_assignments in self.index_assignments.items():
@@ -725,10 +728,27 @@ class AutoLayout:
             # df.to_excel(writer, sheet_name=chipname, index=False)
             res.extend(df.to_dict('records'))
             chip_loc += 1
+
+            sum_list = list()
+            for library, library_df in df.groupby('samplename'):
+                sum_list.append(dict(
+                    二次拆分=library,
+                    客户=library_df['companynamea'].values[0],
+                    类型=library_df['classification'].values[0],
+                    打折前=library_df['orderdatavolume'].sum()
+                ))
+            df_sum = pd.DataFrame(sum_list)
+            sum_res.append({'sheetname': chipname, 'data': df_sum})
+
         res_df = pd.DataFrame(res)
         res_df = pd.concat([pd.DataFrame(self.items), res_df]).reset_index(drop=True)
         res_df.to_excel(writer, sheet_name='assignment', index=False)
 
+        for sum_sheet in sum_res:
+            sheetname = sum_sheet.get('sheetname')
+            df_data = sum_sheet.get('data')
+            df_data.to_excel(writer, sheet_name=sheetname, index=False)
+
         no_assign_df = pd.DataFrame(self.no_assign_data)
         if not no_assign_df.empty:
             no_assign_df = no_assign_df.applymap(lambda x: format_date(x) if isinstance(x, pd.Timestamp) else x)