小贝子编程

如何在JS中将对象数组重组为嵌套的对象数组



我有一个类似的数组

[
{
"id": "Client 1",
"mName": "SDk",
"cName": "Thor Odin",
"gName": "",
"gAmt": 80000,
"gls": 2,
"value": 0.855,
"date": "22/1/2022",
"income": "",
"subRows": [
{
"id": "goal-1",
"cName": "",
"mName": "",
"gName": "Retirement1",
"gAmt": 10000,
"gls": 1,
"income": "60/40",
"date": "22/1/2022",
"value": 0.99
},
{
"id": "goal-2",
"cName": "",
"mName": "",
"gName": "Save For Child Education",
"gAmt": 70000,
"gls": 1,
"income": "55/45",
"date": "5/12/2023",
"value": 0.72
}
]
},
{
"id": "Client 2",
"mName": "SDk",
"cName": "Steve Rogers",
"gName": "Save for Investment",
"gAmt": 67000,
"gls": 1,
"value": 0.7,
"date": "22/1/2022",
"income": "60/40"
},
{
"id": "Client 3",
"mName": "Pal",
"cName": "Wanda Vision",
"gls": 0,
"value": 0.9,
"date": "",
"income": ""
},
{
"id": "Client 4",
"mName": "Pal",
"cName": "Tony Stark",
"gName": "",
"gAmt": 23500,
"gls": 2,
"value": 0.29,
"date": "27/10/2019",
"income": "",
"subRows": [
{
"id": "goal-4",
"cName": "",
"mName": "",
"gName": "Education Loan",
"gAmt": 500,
"gls": 1,
"income": "60/40",
"date": "27/10/2019",
"value": 0.29
},
{
"id": "goal-5",
"cName": "",
"mName": "",
"gName": "House Loan",
"gAmt": 23000,
"gls": 1,
"income": "30/70",
"date": "16/6/2022",
"value": 0.29
}
]
},
{
"id": "Client 5",
"mName": "Joe",
"cName": "Hack Eye",
"gName": "Save For World Tour",
"gAmt": 400000,
"gls": 1,
"value": 0.74,
"date": "",
"income": "60/40"
},
{
"id": "Client 6",
"mName": "Joe",
"cName": "Nick Fury",
"gName": "",
"gAmt": 51070,
"gls": 2,
"value": 0.44499999999999995,
"date": "9/3/2022",
"income": "",
"subRows": [
{
"id": "goal-7",
"cName": "",
"mName": "",
"gName": "To Build A Workspace",
"gAmt": 42340,
"gls": 1,
"income": "60/40",
"date": "9/3/2022",
"value": 0.6
},
{
"id": "goal-8",
"cName": "",
"mName": "",
"gName": "Cloud Examination",
"gAmt": 8730,
"gls": 1,
"income": "30/70",
"date": "9/11/2021",
"value": 0.29
}
]
}
]

我需要把上面的数组转换成这样的

[
{
"mName": "SDk",
"id": "",
"cName": "",
"gName": "",
"gAmt": "",
"gls": "",
"value": "",
"date": "",
"income": "",
"subRows": [
{
"mName": "",
"id": "Client 1",
"cName": "Thor Odin",
"gName": "",
"gAmt": 80000,
"gls": 2,
"value": 0.855,
"date": "22/1/2022",
"income": "",
"subRows": [
{
"id": "goal-1",
"cName": "",
"mName": "",
"gName": "Retirement1",
"gAmt": 10000,
"gls": 1,
"income": "60/40",
"date": "22/1/2022",
"value": 0.99
},
{
"id": "goal-2",
"cName": "",
"mName": "",
"gName": "Save For Child Education",
"gAmt": 70000,
"gls": 1,
"income": "55/45",
"date": "5/12/2023",
"value": 0.72
}
]
},
{
"mName": "",
"id": "Client 2",
"cName": "Steve Rogers",
"gName": "Save for Investment",
"gAmt": 67000,
"gls": 1,
"value": 0.7,
"date": "22/1/2022",
"income": "60/40"
},
{
"mName": "",
"id": "Client 3",
"cName": "Wanda Vision",
"gls": 0,
"value": 0.9,
"date": "",
"income": ""
},
{
"mName": "",
"id": "Client 4",
"cName": "Tony Stark",
"gName": "",
"gAmt": 23500,
"gls": 2,
"value": 0.29,
"date": "27/10/2019",
"income": "",
"subRows": [
{
"id": "goal-4",
"cName": "",
"mName": "",
"gName": "Education Loan",
"gAmt": 500,
"gls": 1,
"income": "60/40",
"date": "27/10/2019",
"value": 0.29
},
{
"id": "goal-5",
"cName": "",
"mName": "",
"gName": "House Loan",
"gAmt": 23000,
"gls": 1,
"income": "30/70",
"date": "16/6/2022",
"value": 0.29
}
]
}
]
},
{
"mName": "Joe",
"id": "",
"cName": "",
"gName": "",
"gAmt": "",
"gls": "",
"value": "",
"date": "",
"income": "",
"subRows": [
{
"mName": "",
"id": "Client 5",
"cName": "Hack Eye",
"gName": "Save For World Tour",
"gAmt": 400000,
"gls": 1,
"value": 0.74,
"date": "",
"income": "60/40"
},
{
"mName": "",
"id": "Client 6",
"cName": "Nick Fury",
"gName": "",
"gAmt": 51070,
"gls": 2,
"value": 0.44499999999999995,
"date": "9/3/2022",
"income": "",
"subRows": [
{
"id": "goal-7",
"cName": "",
"mName": "",
"gName": "To Build A Workspace",
"gAmt": 42340,
"gls": 1,
"income": "60/40",
"date": "9/3/2022",
"value": 0.6
},
{
"id": "goal-8",
"cName": "",
"mName": "",
"gName": "Cloud Examination",
"gAmt": 8730,
"gls": 1,
"income": "30/70",
"date": "9/11/2021",
"value": 0.29
}
]
},
{
"mName": "",
"id": "Client 7",
"cName": "Star Lord",
"gName": "Save For Child Education",
"gAmt": 400000,
"gls": 1,
"value": 0.93,
"date": "",
"income": "55/45"
}
]
},
{
"mName": "Pal",
"id": "",
"cName": "",
"gName": "",
"gAmt": "",
"gls": "",
"value": "",
"date": "",
"income": "",
"subRows": [
{
"mName": "",
"id": "Client 8",
"cName": "Thanos",
"gName": "",
"gAmt": 1200000,
"gls": 3,
"value": 0.29,
"date": "2/11/2019",
"income": "",
"subRows": [
{
"id": "goal-10",
"cName": "",
"mName": "",
"gName": "Relocation Expense Goal",
"gAmt": 400000,
"gls": 1,
"income": "22/78",
"date": "2/11/2019",
"value": 0.29
},
{
"id": "goal-11",
"cName": "",
"mName": "",
"gName": "Save for to buy bike",
"gAmt": 400000,
"gls": 1,
"income": "50/50",
"date": "1/1/2020",
"value": 0.29
},
{
"id": "goal-12",
"cName": "",
"mName": "",
"gName": "Save For Education",
"gAmt": 400000,
"gls": 1,
"income": "65/35",
"date": "9/5/2022",
"value": 0.29
}
]
},
{
"mName": "",
"id": "Client 9",
"cName": "Ego",
"gName": "Save For Education",
"gAmt": 400000,
"gls": 1,
"value": 0.72,
"date": "",
"income": "65/35"
},
{
"mName": "",
"id": "Client 10",
"cName": "Bruce Banner",
"gName": "",
"gAmt": 27600,
"gls": 2,
"value": 0.975,
"date": "9/10/2018",
"income": "",
"subRows": [
{
"id": "goal-14",
"cName": "",
"mName": "",
"gName": "Car Loan",
"gAmt": 23000,
"gls": 1,
"income": "60/40",
"date": "9/10/2018",
"value": 0.99
},
{
"id": "goal-15",
"cName": "",
"mName": "",
"gName": "Bike Loan",
"gAmt": 4600,
"gls": 1,
"income": "30/70",
"date": "9/11/2021",
"value": 0.96
}
]
}
]
}
]

使用mName对数组进行分组。下面的函数可以很好地转换所提供的对象数组。


const data = [{"id":"Client 1","mName":"SDk","cName":"Thor Odin","gName":"","gAmt":80000,"gls":2,"value":0.855,"date":"22/1/2022","income":"","subRows":[{"id":"goal-1","cName":"","mName":"","gName":"Retirement1","gAmt":10000,"gls":1,"income":"60/40","date":"22/1/2022","value":0.99},{"id":"goal-2","cName":"","mName":"","gName":"Save For Child Education","gAmt":70000,"gls":1,"income":"55/45","date":"5/12/2023","value":0.72}]},{"id":"Client 2","mName":"SDk","cName":"Steve Rogers","gName":"Save for Investment","gAmt":67000,"gls":1,"value":0.7,"date":"22/1/2022","income":"60/40"},{"id":"Client 3","mName":"SDk","cName":"Wanda Vision","gls":0,"value":0.9,"date":"","income":""},{"id":"Client 4","mName":"SDk","cName":"Tony Stark","gName":"","gAmt":23500,"gls":2,"value":0.29,"date":"27/10/2019","income":"","subRows":[{"id":"goal-4","cName":"","mName":"","gName":"Education Loan","gAmt":500,"gls":1,"income":"60/40","date":"27/10/2019","value":0.29},{"id":"goal-5","cName":"","mName":"","gName":"House Loan","gAmt":23000,"gls":1,"income":"30/70","date":"16/6/2022","value":0.29}]},{"id":"Client 5","mName":"Joe","cName":"Hack Eye","gName":"Save For World Tour","gAmt":400000,"gls":1,"value":0.74,"date":"","income":"60/40"},{"id":"Client 6","mName":"Joe","cName":"Nick Fury","gName":"","gAmt":51070,"gls":2,"value":0.44499999999999995,"date":"9/3/2022","income":"","subRows":[{"id":"goal-7","cName":"","mName":"","gName":"To Build A Workspace","gAmt":42340,"gls":1,"income":"60/40","date":"9/3/2022","value":0.6},{"id":"goal-8","cName":"","mName":"","gName":"Cloud Examination","gAmt":8730,"gls":1,"income":"30/70","date":"9/11/2021","value":0.29}]},{"id":"Client 7","mName":"Joe","cName":"Star Lord","gName":"Save For Child Education","gAmt":400000,"gls":1,"value":0.93,"date":"","income":"55/45"},{"id":"Client 8","mName":"Pal","cName":"Thanos","gName":"","gAmt":1200000,"gls":3,"value":0.29,"date":"2/11/2019","income":"","subRows":[{"id":"goal-10","cName":"","mName":"","gName":"Relocation Expense Goal","gAmt":400000,"gls":1,"income":"22/78","date":"2/11/2019","value":0.29},{"id":"goal-11","cName":"","mName":"","gName":"Save for to buy bike","gAmt":400000,"gls":1,"income":"50/50","date":"1/1/2020","value":0.29},{"id":"goal-12","cName":"","mName":"","gName":"Save For Education","gAmt":400000,"gls":1,"income":"65/35","date":"9/5/2022","value":0.29}]},{"id":"Client 9","mName":"Pal","cName":"Ego","gName":"Save For Education","gAmt":400000,"gls":1,"value":0.72,"date":"","income":"65/35"},{"id":"Client 10","mName":"Pal","cName":"Bruce Banner","gName":"","gAmt":27600,"gls":2,"value":0.975,"date":"9/10/2018","income":"","subRows":[{"id":"goal-14","cName":"","mName":"","gName":"Car Loan","gAmt":23000,"gls":1,"income":"60/40","date":"9/10/2018","value":0.99},{"id":"goal-15","cName":"","mName":"","gName":"Bike Loan","gAmt":4600,"gls":1,"income":"30/70","date":"9/11/2021","value":0.96}]}]

const arrExpected = data.reduce((acc,row) =>
{
if (row.mName !== acc.level1.cName)
{
let newRow1 =  { mName:row.mName, id: '',  cName: '', gName: '',gAmt:'',gls:'',value:'',date:'',income:'', subRows:[] }
acc.result.push( newRow1 )
acc.level1.cName = row.mName
acc.level1.arr  = newRow1.subRows
}
let newRow2 = { mName: '',id: row.id,  cName: row.cName, gName: row.gName, gAmt: row.gAmt, gls: row.gls, value:row.value, date: row.date, income: row.income}

if (row.subRows) 
{
acc.level2.arr = newRow2.subRows = []
}
acc.level1.arr.push( newRow2 )

if (row.subRows)
{
row.subRows.forEach( subRow =>
{
acc.level2.arr.push( {...subRow})
})
}
return acc
}
, { result:[], level1:{cName:'',arr:null}, level2:{arr:null}} 
).result;


console.log(JSON.stringify(arrExpected) )

但是上面的函数很难理解。如果一个新人接管了代码，就很难知道它在做什么。

有什么方法可以简化这个功能吗？请让我知道这个的可行性。

我为什么要做这种结构是因为。我正在使用@tanstack/react-table创建一个多级可扩展表行。为此，它需要这样的结构。

在这里，你可以得到这个的工作演示示例https://codesandbox.io/s/tanstack-table-expansion-sub-level-goe-191pip?file=/src/App.js

以下问题基于进一步改进的答案：

动态密钥传递

我可以把钥匙传递到功能的第一级。

使用此

let dynamicKey = 'managerName'
const groupsByMangerName = data.reduce((acc, item) => {
acc[item[dynamicKey]] ??= [];
acc[item[dynamicKey]].push({ ...item, [dynamicKey]: "" });
return acc;
}, {});

但无法将其传递到以下部分：

const arrExpected = Object.entries(groupsByMName)
.map(([mName, subRows]) => ({ ...emptyNode,  mName, subRows }));

要减少代码量并提高理解能力，可以采用以下方法

// const data = [ big array of objects ];
const emptyNode = {
mName: "",
id: "",
cName: "",
gName: "",
gAmt: "",
gls: "",
value: "",
date: "",
income: "",
subRows: [],
};
const groupsByMName = data.reduce((acc, item) => {
acc[item.mName] ??= [];
acc[item.mName].push({ ...item, mName: "" });
return acc;
}, {});
const arrExpected = Object.entries(groupsByMName)
.map(([mName, subRows]) => ({ ...emptyNode,  mName, subRows }));

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