From f4e1f44922834407fa33d39952adb4f15cffe85d Mon Sep 17 00:00:00 2001
From: chaopower <chao.zhang@jmdna.com>
Date: Thu, 12 Sep 2024 10:58:13 +0800
Subject: [PATCH] bug

---
 tools/t7.py | 76 ++++++++++++++++++++++++++---------------------------
 1 file changed, 38 insertions(+), 38 deletions(-)

diff --git a/tools/t7.py b/tools/t7.py
index 50337a9..079dc0e 100644
--- a/tools/t7.py
+++ b/tools/t7.py
@@ -555,47 +555,47 @@ class AutoLayout:
 
             # 不平衡文库 大于250G 的数据 先进行拆分
             # 取消 20240912
-            # if is_balance_lib == '否' and size > 250:
-            #     self.return_log.append(f'文库{library} 是不平衡文库, 数据为{size}, 大于250G, 已做拆分处理, 请注意！！！ ')
-            #     data_needed = library_df['orderdatavolume'].copy()
-            #     for num in range(int(size), 0, -200):
-            #         addnum = 200
-            #         if num <= 200:
-            #             addnum = num
-            #         library_df['orderdatavolume'] = (addnum / size) * data_needed
-            #
-            #         self.ori_lib_data.append(dict(
-            #             library=library,
-            #             sample_code=library_df['sampleCode'].values[0],
-            #             is_balance_lib=library_df['librarybalancedflag'].values[0],
-            #             size=library_df['orderdatavolume'].sum(),
-            #             split_method=library_df['cycletype'].values[0],
-            #             time=library_df['receivedtime'].values[0],
-            #             level=1950,
-            #             customer=library_df['companynamea'].values[0],
-            #             classification=library_df['classification'].values[0],
-            #             data=library_df.to_dict('records')
-            #         ))
-            #     self.split_lib.add(library)
-            #     continue
+            if is_balance_lib == '否' and size > 250:
+                self.return_log.append(f'文库{library} 是不平衡文库, 数据为{size}, 大于250G, 已做拆分处理, 请注意！！！ ')
+                data_needed = library_df['orderdatavolume'].copy()
+                for num in range(int(size), 0, -200):
+                    addnum = 200
+                    if num <= 200:
+                        addnum = num
+                    library_df['orderdatavolume'] = (addnum / size) * data_needed
+
+                    self.ori_lib_data.append(dict(
+                        library=library,
+                        sample_code=library_df['sampleCode'].values[0],
+                        is_balance_lib=library_df['librarybalancedflag'].values[0],
+                        size=library_df['orderdatavolume'].sum(),
+                        split_method=library_df['cycletype'].values[0],
+                        time=library_df['receivedtime'].values[0],
+                        level=1950,
+                        customer=library_df['companynamea'].values[0],
+                        classification=library_df['classification'].values[0],
+                        data=library_df.to_dict('records')
+                    ))
+                self.split_lib.add(library)
+                continue
 
             # # 拆分处理 分为了2个大文库
             # 取消 20240912
-            # if size > self.data_limit / 2:
-            #     library_df['orderdatavolume'] = library_df['orderdatavolume'] / 2
-            #     self.return_log.append(f'文库{library} 已做拆分处理, 请注意！！！ ')
-            #     self.ori_lib_data.append(dict(
-            #         library=library,
-            #         sample_code=library_df['sampleCode'].values[0],
-            #         is_balance_lib=library_df['librarybalancedflag'].values[0],
-            #         size=library_df['orderdatavolume'].sum(),
-            #         split_method=library_df['cycletype'].values[0],
-            #         time=library_df['receivedtime'].values[0],
-            #         level=library_df['level'].values[0],
-            #         customer=library_df['companynamea'].values[0],
-            #         classification=library_df['classification'].values[0],
-            #         data=library_df.to_dict('records')
-            #     ))
+            if size > self.data_limit / 2:
+                library_df['orderdatavolume'] = library_df['orderdatavolume'] / 2
+                self.return_log.append(f'文库{library} 已做拆分处理, 请注意！！！ ')
+                self.ori_lib_data.append(dict(
+                    library=library,
+                    sample_code=library_df['sampleCode'].values[0],
+                    is_balance_lib=library_df['librarybalancedflag'].values[0],
+                    size=library_df['orderdatavolume'].sum(),
+                    split_method=library_df['cycletype'].values[0],
+                    time=library_df['receivedtime'].values[0],
+                    level=library_df['level'].values[0],
+                    customer=library_df['companynamea'].values[0],
+                    classification=library_df['classification'].values[0],
+                    data=library_df.to_dict('records')
+                ))
 
             self.ori_lib_data.append(dict(
                 library=library,