python 嵌套字典key_查找和修改python嵌套字典（key，value）
我有一個json文件需要更新。我將它轉換為python dict(嵌套)來更新它。這是輸入，但可以是任何部門。我相信有更好的方法來做這件事，但不知道。在
最后通牒除了更新之外，我還想執行創建/刪除操作。在
這是腳本和輸入文件# Now find TARGET value in nested key value chain
# Replace old value with NEWVALUE
import json
from pprint import pprint
d1 = open('jinputstack.json', 'r')
d1 = json.load(d1)
def traverse(obj, path=None, callback=None):
"""
Traverse Python object structure, calling a callback function for every element in the structure,
and inserting the return value of the callback as the new value.
"""
if path is None:
path = []
if isinstance(obj, dict):
value = {k: traverse(v, path + [k], callback)
for k, v in obj.items()}
elif isinstance(obj, list):
value = [traverse(elem, path + [[]], callback)
for elem in obj]
else:
value = obj
if callback is None:
# print("Starting value Found-----------------------------------------------------")
print(value)
return value
else:
print(path, value)
return callback(path, value)
def traverse_modify(obj, target_path, action):
"""
Traverses any arbitrary object structure and performs the given action on the value,
replacing the node with the
action's return value.
"""
target_path = to_path(target_path)
pprint(value)
pprint(target_path)
def transformer(path, value):
if path == target_path:
print(action)
d2 = data["groups"][0]["properties"][1]["value"]["data"][2]["object"]["name"].update(action)
return d2
else:
return value
return traverse(obj, callback=transformer)
def to_path(path):
"""
Helper function, converting path strings into path lists.
>>> to_path('foo')
['foo']
>>> to_path('foo.bar')
['foo', 'bar']
>>> to_path('foo.bar[]')
['foo', 'bar', []]
"""
if isinstance(path, list):
return path # already in list format
def _iter_path(path):
#pprint(path.split)
for parts in path.split('[]'):
for part in parts.strip('.').split('.'):
yield part
yield []
return list(_iter_path(path))[:-1]
def updateit(newvalue):
data["groups"][0]["properties"][1]["value"]["data"][2]["object"]["name"] = newvalue
print(data["groups"][0]["properties"][1]["value"]["data"][2]["object"]["name"])
return data["groups"][0]["properties"][1]["value"]["data"][2]["object"]["name"]
traverse_modify(d1, d1["groups"][0]["properties"][1]["value"]["data"][1]["object"]["name"], updateit("XXXXXXXXXXXXXX"))
json_data = json.dumps(data)
f = open("jinputstack.json","w")
f.write(json_data)
f.close()
^{pr2}$
作者：文森特·德里森
《新程序員》：云原生和全面數字化實踐50位技術專家共同創作，文字、視頻、音頻交互閱讀總結
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