chaopower
/
layout
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

调整

new_sanwei
chaopower 2024-09-12 09:37:35 +08:00
parent abbef53bc3
commit 3f3c890eea
1 changed files with 43 additions and 41 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

84
tools/t7.py
View File

@ -521,8 +521,8 @@ class AutoLayout:
self.no_assign_data.extend(no_ori_data.to_dict('records')) self.no_assign_data.extend(no_ori_data.to_dict('records'))
# 包lane的剔除 # 包lane的剔除
orderlane_mask = ori_library_df['productname'].str.contains('包lane') # orderlane_mask = ori_library_df['lanepackcode'].str.contains('包lane')
orderlane_mask = ori_library_df['lanepackcode'] != ''
self.order_assign_data = ori_library_df[orderlane_mask].to_dict('records') self.order_assign_data = ori_library_df[orderlane_mask].to_dict('records')
# 使用布尔索引筛选出不是数字和非日期的行，包lane的 # 使用布尔索引筛选出不是数字和非日期的行，包lane的
@ -549,46 +549,48 @@ 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
if is_balance_lib == '否' and size > 250: # 取消 20240912
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！！！ ') # if is_balance_lib == '否' and size > 250:
data_needed = library_df['orderdatavolume'].copy() # 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！！！ ')
for num in range(int(size), 0, -200): # data_needed = library_df['orderdatavolume'].copy()
addnum = 200 # for num in range(int(size), 0, -200):
if num <= 200: # addnum = 200
addnum = num # if num <= 200:
library_df['orderdatavolume'] = (addnum / size) * data_needed # 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
self.ori_lib_data.append(dict( # # 拆分处理 分为了2个大文库
library=library, # 取消 20240912
sample_code=library_df['sampleCode'].values[0], # if size > self.data_limit / 2:
is_balance_lib=library_df['librarybalancedflag'].values[0], # library_df['orderdatavolume'] = library_df['orderdatavolume'] / 2
size=library_df['orderdatavolume'].sum(), # self.return_log.append(f'文库{library} 已做拆分处理, 请注意！！！ ')
split_method=library_df['cycletype'].values[0], # self.ori_lib_data.append(dict(
time=library_df['receivedtime'].values[0], # library=library,
level=1950, # sample_code=library_df['sampleCode'].values[0],
customer=library_df['companynamea'].values[0], # is_balance_lib=library_df['librarybalancedflag'].values[0],
classification=library_df['classification'].values[0], # size=library_df['orderdatavolume'].sum(),
data=library_df.to_dict('records') # split_method=library_df['cycletype'].values[0],
)) # time=library_df['receivedtime'].values[0],
self.split_lib.add(library) # level=library_df['level'].values[0],
continue # customer=library_df['companynamea'].values[0],
# classification=library_df['classification'].values[0],
# 拆分处理 分为了2个大文库 # 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( self.ori_lib_data.append(dict(
library=library, library=library,