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隨手寫(xiě)了一個(gè) 應(yīng)對(duì)多層 dictionary 的 merge

from itertools import chain
from functools import reduce


def deep_merge_func(acc, item):
    if not acc:
        acc = {}
    k, v = item
    if isinstance(v, dict):
        original_v = acc.get(k)
        if original_v and isinstance(original_v, dict):
            return {**acc, k: deep_merge(original_v, v)}
    return {**acc, k: v}



def deep_merge(origin, target):
    return reduce(deep_merge_func, chain(origin.items(), target.items()), None)


a = {1: {"171": True}}
b = {1: {"171": False}}

print(deep_merge(a, b))


c = {1: {"171": True}}
d = {1: {"172": False}}
print(deep_merge(c ,d))

只測(cè)試了 python3.6.1 你只需要調(diào)用 deep_merge 就行了

寫(xiě)得比較 functional 不要怪我

對(duì)于case2就比較簡(jiǎn)單:

>>> a={1:{"171": True}}
>>> b={1:{"171":False}}
>>> a.update(b)
>>> a
{1: {'171': False}}

對(duì)于case1可以這樣操作:

>>> c={}
>>> for k,v in a.items():
...     if k in b:
...         v.update(b[k])
...         c[k] = v
... 
>>> c
{1: {'172': False, '171': True}}

你將上述操作封裝為函數(shù)即可。