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bug

new_sanwei
chaopower 2024-09-18 09:47:55 +08:00
parent 6f3273af82
commit bd386023f3
1 changed files with 40 additions and 40 deletions
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80
tools/t7.py
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@ -553,48 +553,48 @@ class AutoLayout:
continue continue
# 不平衡文库 大于250G 的数据 先进行拆分 # 不平衡文库 大于250G 的数据 先进行拆分
# 取消 20240912 # 取消 20240918
if is_balance_lib == '否' and size > 250: # 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！！！ ') # 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() # data_needed = library_df['orderdatavolume'].copy()
for num in range(int(size), 0, -200): # for num in range(int(size), 0, -200):
addnum = 200 # addnum = 200
if num <= 200: # if num <= 200:
addnum = num # addnum = num
library_df['orderdatavolume'] = (addnum / size) * data_needed # library_df['orderdatavolume'] = (addnum / size) * data_needed
#
self.ori_lib_data.append(dict( # self.ori_lib_data.append(dict(
library=library, # library=library,
sample_code=library_df['sampleCode'].values[0], # sample_code=library_df['sampleCode'].values[0],
is_balance_lib=library_df['librarybalancedflag'].values[0], # is_balance_lib=library_df['librarybalancedflag'].values[0],
size=library_df['orderdatavolume'].sum(), # size=library_df['orderdatavolume'].sum(),
split_method=library_df['cycletype'].values[0], # split_method=library_df['cycletype'].values[0],
time=library_df['receivedtime'].values[0], # time=library_df['receivedtime'].values[0],
level=1950, # level=1950,
customer=library_df['companynamea'].values[0], # customer=library_df['companynamea'].values[0],
classification=library_df['classification'].values[0], # classification=library_df['classification'].values[0],
data=library_df.to_dict('records') # data=library_df.to_dict('records')
)) # ))
self.split_lib.add(library) # self.split_lib.add(library)
continue # continue
# # 拆分处理 分为了2个大文库 # # 拆分处理 分为了2个大文库
# 取消 20240912 # 取消 20240918
if size > self.data_limit / 2: # if size > self.data_limit / 2:
library_df['orderdatavolume'] = library_df['orderdatavolume'] / 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.return_log.append(f'文库{library} 已做拆分处理, 请注意！！！ ')
self.ori_lib_data.append(dict( # self.ori_lib_data.append(dict(
library=library, # library=library,
sample_code=library_df['sampleCode'].values[0], # sample_code=library_df['sampleCode'].values[0],
is_balance_lib=library_df['librarybalancedflag'].values[0], # is_balance_lib=library_df['librarybalancedflag'].values[0],
size=library_df['orderdatavolume'].sum(), # size=library_df['orderdatavolume'].sum(),
split_method=library_df['cycletype'].values[0], # split_method=library_df['cycletype'].values[0],
time=library_df['receivedtime'].values[0], # time=library_df['receivedtime'].values[0],
level=library_df['level'].values[0], # level=library_df['level'].values[0],
customer=library_df['companynamea'].values[0], # customer=library_df['companynamea'].values[0],
classification=library_df['classification'].values[0], # classification=library_df['classification'].values[0],
data=library_df.to_dict('records') # data=library_df.to_dict('records')
)) # ))
self.ori_lib_data.append(dict( self.ori_lib_data.append(dict(
library=library, library=library,