glom基于数据分配

Question

在下面的代码中，我试图基于数据屏蔽个人信息。我有两个设想。在场景1中，我想在type = 'FirstName'时更新，更新或分配valueString值给' Masked"在场景2中，我希望在类型匹配模式"first****Name"时进行更新，更新或将valueString值赋给"Masked"。我想知道是否有人有关于编写glom assign语句来解决上述情况的建议。

示例Json字符串

{
"id": "985babac-9999-8888-8887",
"entity": [
{
"what": {
"reference": "4lincoln-123-11eb-bc1a-732f"
},
"detail": [
{
"type": "uuid",
"valueString": "4obama-f199-77eb-bc1a-555555704d2f"
},
{
"type": "firstName",
"valueString": "John"
},
{
"type": "userName",
"valueString": "Johns"
},
{
"type": "middleInitial",
"valueString": "S"
},
{
"type": "lastName",
"valueString": "Trump"
},
{
"type": "first-4fa999-f1999-Name",
"valueString": "John"
},
{
"type": "birth-4fa999-f1999-Date",
"valueString": "2010-01-01"
}
]
}
]
}

更新后的输出应该如下所示

{
"id": "985babac-9999-8888-8887",
"entity": [
{
"what": {
"reference": "4lincoln-123-11eb-bc1a-732f"
},
"detail": [
{
"type": "uuid",
"valueString": "4obama-f199-77eb-bc1a-555555704d2f"
},
{
"type": "firstName",
"valueString": "Masked"
},
{
"type": "userName",
"valueString": "Johns"
},
{
"type": "middleInitial",
"valueString": "S"
},
{
"type": "lastName",
"valueString": "Trump"
},
{
"type": "first-4fa999-f1999-Name",
"valueString": "Masked"
},
{
"type": "birth-4fa999-f1999-Date",
"valueString": "2010-01-01"
}
]
}
]
}

Answer 1

我想出了以下解决方案。我想知道这是否可以在一个glom呼叫中完成，而不是多次呼叫?

import json
import logging
import sys
import time
import re
from glom import glom, assign, Coalesce, SKIP, Spec, Path, Call, T, Iter, Inspect
LOGGING_FORMAT = '%(asctime)s - [%(filename)s:%(name)s:%(lineno)d] - %(levelname)s - %(message)s'
LOGLEVEL = logging.INFO
logging.basicConfig(level=LOGLEVEL,format=LOGGING_FORMAT)
logger = logging.getLogger(__name__)

start_time = time.time()
target = {
"id": "985babac-9999-8888-8887",
"entity": [
{
"what": {
"reference": "4lincoln-123-11eb-bc1a-732f"
},
"detail": [
{
"type": "uuid",
"valueString": "4obama-f199-77eb-bc1a-555555704d2f"
},
{
"type": "firstName",
"valueString": "John"
},
{
"type": "userName",
"valueString": "Johns"
},
{
"type": "middleInitial",
"valueString": "S"
},
{
"type": "lastName",
"valueString": "Trump"
},
{
"type": "first-4fa999-f1999-Name",
"valueString": "John"
},
{
"type": "birth-4fa999-f1999-Date",
"valueString": "2010-01-01"
}
]
}
]
}
# def myupdate(x):
#     for count, item in enumerate(x):
#         myspec = 'entity.0.detail.{}.valueString'.format(count)
#         if item == 'firstName':
#             _ = assign(target,myspec,'Masked')
piiRegex = re.compile(r'^first.*Name$|^last.*Name$|^middle.*Initial$|^birth.*Date$')

def myupdate(x):
for count, item in enumerate(x):
myspec = 'entity.0.detail.{}.valueString'.format(count)
mo = piiRegex.search(item)
if mo:
_ = assign(target,myspec,'Masked')

spec = {'result': ('entity.0.detail', ['type'], myupdate)}
xyz = glom(target, spec)
print(xyz)
print(target)


logger.info("Program completed in --- %s seconds ---" % (time.time() - start_time))

===============

结果:

{'result': None}
{'id': '985babac-9999-8888-8887', 'entity': [{'what': {'reference': '4lincoln-123-11eb-bc1a-732f'}, 'detail': [{'type': 'uuid', 'valueString': '4obama-f199-77eb-bc1a-555555704d2f'}, {'type': 'firstName', 'valueString': 'Masked'}, {'type': 'userName', 'valueString': 'Johns'}, {'type': 'middleInitial', 'valueString': 'Masked'}, {'type': 'lastName', 'valueString': 'Masked'}, {'type': 'first-4fa999-f1999-Name', 'valueString': 'Masked'}, {'type': 'birth-4fa999-f1999-Date', 'valueString': 'Masked'}]}]}