一个文件中的Json值，基于另一个Json文件中的字段 [英] Json values from one file, based on fields from another Json file
问题描述
我正在尝试根据另一个JSON文件的字段映射将值获取到JSON文件.我有一个从外部系统获得的JSON文件，这些系统具有不同的字段名称.我创建了一个JSON文件，该文件会将外部系统中的字段映射到我需要字段位于的名称:
I am trying to get values to a JSON file, based on field mapping from another JSON file. I have a JSON file I get from external systems, which have different field names. I created a JSON file that will map the fields from the external system to the names I need the fields to be in:
{
"username":"user",
"externalSystemId":"id",
"active":"active",
"type":"type",
"patronGroup":"group",
"meta": {
"creation_date":"dateCreated",
"last_login_date":"lastLogin"
},
"personal": {
"lastName":"lname",
"firstName":"fname",
"email":"email",
"phone":"phone",
"mobilePhone":"mobile",
"dateOfBirth":"birthDate",
"addresses":{
"countryId": "countryCode",
"addressLine1": "address",
"addressLine2": "address2",
"city": "city",
"region": "region",
"postalCode": "zipcode",
"addressTypeId": "addressType",
"primaryAddress": "primary"
}
},
"enrollmentDate": "enrollmentDate",
"expirationDate": "expirationDate"
}
在此文件中，字段是我将需要填充的字段，而值是我从外部系统获得的字段的名称，例如:
In this file, the fields are the fields I will need to populate, while the values are the names of the fields I get from the external system, which looks like this for example:
{
"user":"name",
"id":12345,
"active":true,
"type":"Student",
"group":"BA",
"dateCreated":"NOV 22 2019",
"lastLogin":"NOV 23 2020",
"lname":"Yard",
"fname":"Paul",
"email":"email@gmail.com",
"phone":"(000)-000-0000",
"mobile":"(000)-000-0000",
"birthDate":"OCT 11 1999",
"countryId": "US",
"addressLine1": "4th street",
"addressLine2": "25B",
"city": "NY",
"region": "NY",
"postalCode": "00000",
"addressTypeId": "Personal",
"primaryAddress": true,
"enrollmentDate": "MAR 22 2019",
"expirationDate": "MAR 21 2022"
}
因此最终的JSON文件将需要如下所示:
So the end JSON file will need to look like this:
{
"username":"name",
"externalSystemId":12345,
"active":true,
"type":"Student",
"patronGroup":"BA",
"meta": {
"creation_date":"NOV 22 2019",
"last_login_date":"NOV 23 2020"
},
"personal": {
"lastName":"Yard",
"firstName":"Paul",
"email":"email@gmail.com",
"phone":"(000)-000-0000",
"mobilePhone":"(000)-000-0000",
"dateOfBirth":"OCT 11 1999",
"addresses":{
"countryId": "US",
"addressLine1": "4th street",
"addressLine2": "25B",
"city": "NY",
"region": "NY",
"postalCode": "00000",
"addressTypeId": "Personal",
"primaryAddress": true
}
},
"enrollmentDate": "MAR 22 2019",
"expirationDate": "MAR 21 2022"
}
我当时正在考虑使用字典/索引来创建它，但是我以前从未做过，也不知道该怎么做.有简单的方法吗?
I was thinking of using a dictionary/index to create this, but I've never done that before, nor am I sure how to do it. Is there a simple way to do it?
推荐答案
当我们具有单个JSON级别时，使用字典很容易进行这种映射.
This kind of mapping is easy with a dictionary when we have single level of JSON.
对于多层JSON，我们可以使用递归函数来映射字典中的数据.
For a multi level JSON, we can make use of a recursive function to map the data from dictionary.
在代码中可以说这是您的JSON:
In the code lets say this is your JSON:
let json = {
username: "user",
externalSystemId: "id",
active: "active",
type: "type",
patronGroup: "group",
meta: {
creation_date: "dateCreated",
last_login_date: "lastLogin",
},
personal: {
lastName: "lname",
firstName: "fname",
email: "email",
phone: "phone",
mobilePhone: "mobile",
dateOfBirth: "birthDate",
addresses: {
countryId: "countryCode",
addressLine1: "address",
addressLine2: "address2",
city: "city",
region: "region",
postalCode: "zipcode",
addressTypeId: "addressType",
primaryAddress: "primary",
},
},
enrollmentDate: "enrollmentDate",
expirationDate: "expirationDate",
};
// Here is the dictionary:
// Note: the personal address field had incorrect mapping for few fields, I have modified the property to match the value of respective key of the JSON.
let dictionary = {
user: "name",
id: 12345,
active: true,
type: "Student",
group: "BA",
dateCreated: "NOV 22 2019",
lastLogin: "NOV 23 2020",
lname: "Yard",
fname: "Paul",
email: "email@gmail.com",
phone: "(000)-000-0000",
mobile: "(000)-000-0000",
birthDate: "OCT 11 1999",
countryCode: "US",
address: "4th street",
address2: "25B",
city: "NY",
region: "NY",
zipcode: "00000",
addressType: "Personal",
primary: true,
enrollmentDate: "MAR 22 2019",
expirationDate: "MAR 21 2022",
};
// recursive function to map the JSON, extract the actual value from from dictionary
function buildMapping(jsonParam) {
let result = {};
// iterate over the JSON parameter
for (const [key, value] of Object.entries(jsonParam)) {
if (typeof value === "object") {
// for type as object, make a recursive call with the object value as param
// collect the result of inner object
let resultInner = buildMapping(value);
// attach the result of the inner object to its key
result[key] = resultInner;
} else {
// check if the dictionary contains the mapping, otherwise set as null
result[key] = dictionary.hasOwnProperty(value)
? dictionary[value]
: null;
}
}
return result;
}
let resultJson = buildMapping(json);
console.log(resultJson);
结果:
Result:
{
username: "name",
externalSystemId: 12345,
active: true,
type: "Student",
patronGroup: "BA",
meta: { creation_date: "NOV 22 2019", last_login_date: "NOV 23 2020" },
personal: {
lastName: "Yard",
firstName: "Paul",
email: "email@gmail.com",
phone: "(000)-000-0000",
mobilePhone: "(000)-000-0000",
dateOfBirth: "OCT 11 1999",
addresses: {
countryId: "US",
addressLine1: "4th street",
addressLine2: "25B",
city: "NY",
region: "NY",
postalCode: "00000",
addressTypeId: "Personal",
primaryAddress: true,
},
},
enrollmentDate: "MAR 22 2019",
expirationDate: "MAR 21 2022",
};
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