基于Masking_col字段实现指定字段置空的Jolt转换需求

根据JSON对象中Masking_col字段指定的字段名，将对应字段的值置为空字符串。

输入示例 #

{
  "IN_num": "1",
  "In_Details": "notworking",
  "customer_name": "abc",
  "customer_location": "Hyd",
  "customer_ID": "1001",
  "customer_name0": "abc",
  "Masking_col": "customer_location,customer_ID"
}

期望输出示例 #

{
  "IN_num": "1",
  "In_Details": "notworking",
  "customer_name": "abc",
  "customer_location": "",
  "customer_ID": "",
  "customer_name0": "abc",
  "Masking_col": "customer_location,customer_ID"
}

通过以下步骤完成字段置空操作：

• 解析JSON数据为Python字典
• 拆分Masking_col的字段名，生成需要处理的字段列表
• 遍历列表，将对应字段的值设为空字符串
• （可选）将处理后的字典转回JSON格式

示例代码：

import json

# 输入的JSON字符串
input_data = '''
{
  "IN_num": "1",
  "In_Details": "notworking",
  "customer_name": "abc",
  "customer_location": "Hyd",
  "customer_ID": "1001",
  "customer_name0": "abc",
  "Masking_col": "customer_location,customer_ID"
}
'''

# 解析为字典
data_dict = json.loads(input_data)

# 获取需要置空的字段列表
mask_fields = data_dict["Masking_col"].split(",")

# 遍历字段并置空
for field in mask_fields:
    if field in data_dict:
        data_dict[field] = ""

# 输出处理后的JSON
print(json.dumps(data_dict, indent=2))

运行代码后即可得到期望的输出结果，若Masking_col中指定的字段不存在，代码会自动跳过该字段，避免报错。

内容的提问来源于stack exchange，提问作者priyanka