[英]Is there a better/more efficient way to achieve this?
I'm learning Javascript and getting started with React.我正在学习 Javascript 并开始使用 React。 I'm attempting to build a Materials-UI's DataGrid and need to structure my data accordingly.
我正在尝试构建 Materials-UI 的 DataGrid,并且需要相应地构造我的数据。 I have the following piece of code that prepares the Rows and Columns for DataGrid but I feel it may be "slow" and wondering if I can get the community's input on how it can be written more efficiently.
我有以下代码为 DataGrid 准备行和列,但我觉得它可能“慢”并且想知道我是否可以得到社区关于如何更有效地编写它的意见。 Any ideas/solutions would be appreciated.
任何想法/解决方案将不胜感激。 Thanks.
谢谢。
input:输入:
const values = [
{
"documentId": "12345",
"documentDirectory": "Canadian PnC",
"properties": [
{
"name": "HoldingNumber",
"type": "STRING",
"value": "88888",
},
{
"name": "DocumentType",
"type": "STRING",
"value": "TAC",
},
{
"name": "DocumentName",
"type": "STRING",
"value": "Income",
},
]
},
{
"documentId": "54321",
"documentDirectory": "Wealth",
"properties": [
{
"name": "HoldingNumber",
"type": "STRING",
"value": "99999",
},
{
"name": "DocumentType",
"type": "STRING",
"value": "TAC",
},
{
"name": "DocumentName",
"type": "STRING",
"value": "Appraisal",
},
]
}
];
output: output:
//console.log(cols);
[
{
field: "DocumentDirectory", headerName: "DocumentDirectory", width: 200
},
{
field: "DocumentId", headerName: "DocumentId", width: 200
},
{
field: "HoldingNumber", headerName: "HoldingNumber", width: 200
},
{
field: "DocumentType", headerName: "DocumentType", width: 200
},
{
field: "DocumentName", headerName: "DocumentName", width: 200
}
]
//console.log(rows); //console.log(行);
[
{
id: 0,
DocumentDirectory: "Canadian PnC",
DocumentId: "12345",
HoldingNumber: "88888",
DocumentType: "TAC",
DocumentName: "Income"},
{
id: 1,
DocumentDirectory: "Wealth",
DocumentId: "54321",
HoldingNumber: "99999",
DocumentType: "TAC",
DocumentName: "Appraisal"
}
]
I'm currently achieving it the using the following:我目前正在使用以下方法实现它:
const docDirectory = values.map(result => result.documentDirectory);
const docId = values.map(result => result.documentId);
const docProperties = values.map(result => result.properties);
let cols= [];
let rows= [];
for (let i = 0; i < docProperties.length; i++) {
const p = docProperties[i];
let o = {};
o["id"] = i;
o["DocumentDirectory"] = docDirectory[i];
o["DocumentId"] = docId[i];
if (i === 0) {
cols.push({ field: "DocumentDirectory", headerName: "DocumentDirectory", width: 200 });
cols.push({ field: "DocumentId", headerName: "DocumentId", width: 200 });
}
for (let j = 0; j < p.length; j++) {
let nam = p[j].name;
let val = p[j].value;
o[nam.replace(/\s+/, "")] = val;
if (i === 0) {
cols.push({ field: nam.replace(/\s+/, ""), headerName: nam, width: 200 });
}
}
rows.push(o);
}
console.log(cols);
console.log(rows);
const values = [ { documentId: '12345', documentDirectory: 'Canadian PnC', properties: [ { name: 'HoldingNumber', type: 'STRING', value: '88888' }, { name: 'DocumentType', type: 'STRING', value: 'TAC' }, { name: 'DocumentName', type: 'STRING', value: 'Income' } ] }, { documentId: '54321', documentDirectory: 'Wealth', properties: [ { name: 'HoldingNumber', type: 'STRING', value: '99999' }, { name: 'DocumentType', type: 'STRING', value: 'TAC' }, { name: 'DocumentName', type: 'STRING', value: 'Appraisal' } ] } ]; const cols = [ { field: 'DocumentDirectory', headerName: 'DocumentDirectory', width: 200 }, { field: 'DocumentId', headerName: 'DocumentId', width: 200 }, ...values[0].properties.map(p => ({ field: p.name, headerName: p.name, width: 200 })) ]; const rows = values.map((value, index) => { return { id: index, DocumentDirectory: value.documentDirectory, DocumentId: value.documentId, ...value.properties.reduce( (val, cur) => ({...val, [cur.name]: cur.value }), {} ) }; }); console.log(cols); console.log(rows);
const values = [{ "documentId": "12345", "documentDirectory": "Canadian PnC", "properties": [{ "name": "HoldingNumber", "type": "STRING", "value": "88888", }, { "name": "DocumentType", "type": "STRING", "value": "TAC", }, { "name": "DocumentName", "type": "STRING", "value": "Income", }, ] }, { "documentId": "54321", "documentDirectory": "Wealth", "properties": [{ "name": "HoldingNumber", "type": "STRING", "value": "99999", }, { "name": "DocumentType", "type": "STRING", "value": "TAC", }, { "name": "DocumentName", "type": "STRING", "value": "Appraisal", }, ] } ]; const allCols = values.reduce((prev, { documentDirectory, properties }) => ([...prev, { field: documentDirectory, headerName: documentDirectory, width: 200 }, ...properties.map(({name: field, name: headerName}) => ({field, headerName, width: 200})) ]), []) const cols = [...new Set(allCols.map(JSON.stringify))].map(JSON.parse) console.log(cols) const rows = values.reduce((prev, next) => ([...prev, ...next.properties.map(property => ({ DocumentDirectory: next.DocumentDirectory, DocumentId: next.DocumentId, ...property })) ]), []).map((row, key) => ({id: key, ...row})) console.log(rows)
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