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功能变化: 批量更新优化

pull/84/head
猿小天 2022-12-30 22:42:51 +08:00
parent 30d019ed28
commit 8508fd851d
2 changed files with 15 additions and 6 deletions
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1
backend/dvadmin/system/views/user.py
View File

@ -231,7 +231,6 @@ class UserProfileImportSerializer(CustomModelSerializer):
class Meta: class Meta:
model = Users model = Users
exclude = ( exclude = (
"password",
"post", "post",
"user_permissions", "user_permissions",
"groups", "groups",

20
backend/dvadmin/utils/import_export_mixin.py
View File

@ -171,8 +171,15 @@ class ImportSerializerMixin:
response["content-disposition"] = f'attachment;filename={quote(str(f"导出{get_verbose_name(queryset)}.xlsx"))}' response["content-disposition"] = f'attachment;filename={quote(str(f"导出{get_verbose_name(queryset)}.xlsx"))}'
wb = Workbook() wb = Workbook()
ws = wb.active ws = wb.active
header_data = ["序号","更新主键(勿改)", *self.import_field_dict.values()] import_field_dict = {}
hidden_header = ["#","id", *self.import_field_dict.keys()] for key,val in self.import_field_dict.items():
if isinstance(val,dict):
import_field_dict[key] = val.get('title')
else:
import_field_dict[key] = val
print(data)
header_data = ["序号","更新主键(勿改)", *import_field_dict.values()]
hidden_header = ["#","id", *import_field_dict.keys()]
df_len_max = [self.get_string_len(ele) for ele in header_data] df_len_max = [self.get_string_len(ele) for ele in header_data]
row = get_column_letter(len(hidden_header) + 1) row = get_column_letter(len(hidden_header) + 1)
column = 1 column = 1
@ -184,12 +191,15 @@ class ImportSerializerMixin:
if key == h_item: if key == h_item:
if val is None or val == "": if val is None or val == "":
results_list.append("") results_list.append("")
elif isinstance(val,list):
results_list.append(str(val))
else: else:
results_list.append(val) results_list.append(val)
# 计算最大列宽度 # 计算最大列宽度
result_column_width = self.get_string_len(val) if isinstance(val,str):
if h_index != 0 and result_column_width > df_len_max[h_index]: result_column_width = self.get_string_len(val)
df_len_max[h_index] = result_column_width if h_index != 0 and result_column_width > df_len_max[h_index]:
df_len_max[h_index] = result_column_width
ws.append([index+1,*results_list]) ws.append([index+1,*results_list])
column += 1 column += 1
# 　更新列宽 # 　更新列宽