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在下面的代码中，我试图根据数据屏蔽个人信息。我有两种情况。在场景 1 中，我想在 type = 'FirstName' 时更新，更新 valueString 值或将 valueString 值分配给“Masked”。在场景 2 中，我想在类型匹配模式“first****Name”时进行更新，更新或将 valueString 值分配给“Masked”。我想知道是否有人建议编写 glom 分配语句来解决上述情况。

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"
}
]
}
]
}
4

1 回答 1

0

我想出了以下解决方案。我想知道这是否可以在一个glom调用中完成而不是多次调用？

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'}]}]}
于 2021-08-02T22:59:37.610 回答