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# coding=utf-8
from functools import reduce
# 测试数据，权限字典列表；第一层字典的键不同的数字表示不同的模块
aa = [
{
'2': {
'codes': ['list', 'tree', 'add', 'delete', 'update', 'detail', 'import', 'generate', 'export'],
'urls': ['/users/rm/searchlt', '/users/rm/ltree', '/users/addRisk', '/users/rm/delete', '/users/risk/update', '/users/rm/detail', '/users/rm/risk/import', '/users/rm/risk/export', '/users/rm/risk/download']
},
'4': {
'codes': ['list', 'tree', 'add', 'delete', 'update', 'detail'],
'urls': ['/users/sm/searchlt', '/users/sm/ltree', '/users/addStrategy', '/users/sm/delete', '/users/strategy/update', '/users/sm/detail']
}
},
{
'1': {
'codes': ['list', 'tree', 'add1', 'add2', 'delete', 'update', 'detail'],
'urls': ['/users/bm/searchlt', '/users/bm/ltree', '/users/addbaseAsset', '/users/addptAsset', '/users/bm/delete', '/users/asset/update', '/users/bm/detail']
},
'4': {
'codes': ['list', 'tree', 'add', 'delete', 'update', 'detail'],
'urls': ['/users/sm/searchlt', '/users/sm/ltree', '/users/addStrategy', '/users/sm/delete', '/users/strategy/update', '/users/sm/detail']
}
},
{
'3': {
'codes': ['selDetail', 'tree', 'add', 'update', 'delete'],
'urls': ['/users/szm/searchlt', '/users/szm/ltree', '/users/sz', '/users/sz/update', '/users/szm/delete']
}
}
]
def sum_dict(a, b):
temp = dict()
# 获取a, b字典中的键值列表，不改变原来的元素顺序去重
union_keys = list(a.keys()) + list(b.keys())
new_keys = list(set(union_keys))
new_keys.sort(key=union_keys.index)
for key in new_keys:
print(key) # '2'
# 可以根据业务需求修改下面的代码
m = 0
for d in (a, b):
d = d.get(key)
print(d)
if d:
m = m + 1
# 对于a, b字典中重复出现的键里可能存在对应值不相同的情况，取并集并做格式转换
if m == 2:
union_codes_list = a.get(key).get(
'codes') + b.get(key).get('codes') # list
union_urls_list = a.get(key).get(
'urls') + b.get(key).get('urls')
new_codes = list(set(union_codes_list))
new_urls = list(set(union_urls_list))
# set后不改变原来元素顺序
new_codes.sort(key=union_codes_list.index)
new_urls.sort(key=union_urls_list.index)
temp[key] = {"codes": new_codes, "urls": new_urls}
else:
temp[key] = d
return temp
perm_dict = reduce(sum_dict, aa)
print(perm_dict)
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