在 google 应用程序脚本中的 json 数组中创建动态键值
Creating dynamic keys values in json array in google apps script
我有这个数据工作簿 - dataset
现在，实际数据集可能有同一家公司的副本，我的最终目标是创建活动时间表，但这是另一个问题。
我在这里试图完成的是将此处以联系人为中心的数据（意味着每一行代表一个新联系人，而不是一家新公司）转换为以公司为中心的 JSON 数组。
这在下面的代码中表示
var companies = {
'names':[]
};
function organiseLeads() {
const leads = leadSheet.getDataRange().getValues();
leads.splice(0,1);
try {
for (var i in leads) {
var data = leads[i];
var companyName = data[3];
var exists = companies.names.some(function (company) {
return company === companyName;
});
Logger.log(exists);
if (exists == false) {
companies.names[companyName] = {
'region': data[4],
'type': data[5],
'createDate': data[9],
'ids': {
'opportunityId': data[8],
'accountId': data[7],
'leadId': data[0]
},
'activities': [{
'type': 'Lead Created',
'date': data[9],
'detail': data[2]
}]
}
} else if (exists == true && data[9].valueOf() < companies[companyName].createDate) {
companies.names[companyName].createDate = data[9];
companies.names[companyName].activities.push({ 'type': 'Lead Created', 'date': data[9], 'detail': data[2] });
} else if (exists == true && data[9].valueOf() > companies[companyName].createDate) {
companies.names[companyName].activities.push({ 'type': 'Lead Created', 'date': data[9], 'detail': data[2] });
}
}
} catch(e) {
Logger.log(e);
Logger.log(exists);
Logger.log(data);
Logger.log(companyName);
Logger.log(companies.names);
}
}
在此上下文中，leadSheet 指的是此处提到的数据集。它在其他地方的 Google 脚本中定义。
我也尝试过使用 companies.names.push([companyName = {}])（其中包含所有其他数据），但没有任何反应。
应该发生的是它检查公司是否已经存在于这个数组中。如果没有，它将创建为多维数组，使用公司名称作为主键，然后将详细信息作为嵌套键值对。
如果公司已经存在，它只是对该公司记录进行一些小的更改，然后 returns 整个 json 数组。
然而，发生的一切都不算什么。它根本不在 JSON 数组中设置任何内容。当我试图展平公司数组时，我得到错误 companies.some is not a function 和 exists 变量，它检查公司是否已经存在，总是returns 错误。
如何确保数据被正确地推入 JSON 数组？请记住，公司名称的密钥是动态生成的，而不是静态密钥。
我想保留上面代码中描述的 JSON 结构。
以公司为中心JSON
function companyCentricJson() {
const ss = SpreadsheetApp.getActive();
const sh = ss.getSheetByName("Sheet0");
const [hA,...vs]= sh.getDataRange().getValues();
const json = vs.reduce((a,[id,name,eml,co,reg,type,indus,acct,oppo,date],i) => {
if(!a.obj.hasOwnProperty(co)) {
a.obj[co] = [];
a.obj[co].push(hA)
a.obj[co].push([id,name,eml,co,reg,type,indus,acct,oppo,date]);
a.obj.pA.push(co);
} else {
a.obj[co].push([id,name,eml,co,reg,type,indus,acct,oppo,date])
}
return a;
},{obj:{pA:[]},json:function(){return JSON.stringify(this.obj)}}).json();
Logger.log(json);
return json;
}
数据Sheet:
Id
Name
Email
Company
Region
Type
Industry
Account Id
Opportunity Id
Create Date
123446
Jon L
Jon L@Company 1.com
Company 1
None
Enterprise
9078900.00%
44567800.00%
01-03-2020
123468
Frank F
Frank F@Company 2.com
Company 2
None
Mobile Operator
Telecommunications
9076500.00%
77654400.00%
01-03-2020
123490
Alex Y
Alex Y@Company 3.com
Company 3
EMEA
9074100.00%
110741000.00%
01-03-2020
123512
Ilya A
Ilya A@Company 4.com
Company 4
None
9071700.00%
143827600.00%
01-03-2020
123534
Mike M
Mike M@Company 5.com
Company 5
None
9069300.00%
176914200.00%
01-03-2020
123556
Narimon O
Narimon O@Company 6.com
Company 6
None
Service Provider
9066900.00%
210000800.00%
01-03-2020
123578
Sagar S
Sagar S@Company 7.com
Company 7
None
9064500.00%
243087400.00%
02-03-2020
123600
John C
John C@Company 8.com
Company 8
None
9062100.00%
276174000.00%
02-03-2020
123622
Pete r
Pete r@Company 9.com
Company 9
None
9059700.00%
309260600.00%
02-03-2020
123644
Ivelin I
Ivelin I@Company 10.com
Company 10
None
9057300.00%
342347200.00%
02-03-2020
123666
Reginald R
Reginald R@Company 11.com
Company 11
None
Enterprise
9054900.00%
375433800.00%
02-03-2020
123688
Yossi R
Yossi R@Company 12.com
Company 12
None
Enterprise
9052500.00%
408520400.00%
02-03-2020
123710
Joey K
Joey K@Company 13.com
Company 13
None
Service Provider
9050100.00%
441607000.00%
02-03-2020
JSON:
{"pA":["Company 1","Company 2","Company 3","Company 4","Company 5","Company 6","Company 7","Company 8","Company 9","Company 10","Company 11","Company 12","Company 13"],"Company 1":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123446,"Jon L","Jon L@Company 1.com","Company 1","None","Enterprise","",90789,445678,"2020-03-01T07:00:00.000Z"]],"Company 2":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123468,"Frank F","Frank F@Company 2.com","Company 2","None","Mobile Operator","Telecommunications",90765,776544,"2020-03-01T07:00:00.000Z"]],"Company 3":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123490,"Alex Y","Alex Y@Company 3.com","Company 3","EMEA","","",90741,1107410,"2020-03-01T07:00:00.000Z"]],"Company 4":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123512,"Ilya A","Ilya A@Company 4.com","Company 4","None","","",90717,1438276,"2020-03-01T07:00:00.000Z"]],"Company 5":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123534,"Mike M","Mike M@Company 5.com","Company 5","None","","",90693,1769142,"2020-03-01T07:00:00.000Z"]],"Company 6":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123556,"Narimon O","Narimon O@Company 6.com","Company 6","None","Service Provider","",90669,2100008,"2020-03-01T07:00:00.000Z"]],"Company 7":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123578,"Sagar S","Sagar S@Company 7.com","Company 7","None","","",90645,2430874,"2020-03-02T07:00:00.000Z"]],"Company 8":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123600,"John C","John C@Company 8.com","Company 8","None","","",90621,2761740,"2020-03-02T07:00:00.000Z"]],"Company 9":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123622,"Pete r","Pete r@Company 9.com","Company 9","None","","",90597,3092606,"2020-03-02T07:00:00.000Z"]],"Company 10":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123644,"Ivelin I","Ivelin I@Company 10.com","Company 10","None","","",90573,3423472,"2020-03-02T07:00:00.000Z"]],"Company 11":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123666,"Reginald R","Reginald R@Company 11.com","Company 11","None","Enterprise","",90549,3754338,"2020-03-02T07:00:00.000Z"]],"Company 12":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123688,"Yossi R","Yossi R@Company 12.com","Company 12","None","Enterprise","",90525,4085204,"2020-03-02T07:00:00.000Z"]],"Company 13":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123710,"Joey K","Joey K@Company 13.com","Company 13","None","Service Provider","",90501,4416070,"2020-03-02T07:00:00.000Z"]]}
读取数据的对话框
GS:
function getCompanyInfo(name="Company 1") {
const vs = JSON.parse(companyCentricJSON())[name];
//Logger.log(JSON.stringify(vs));
return vs.reduce((a,c,i) => {
if(i == 0) {
a.hl += '<tr>'
c.forEach(e => a.hl += '<th>' + e + '</th>');
a.hl += '</tr>'
} else {
a.hl += '<tr>'
c.forEach(e => a.hl += '<td>' + e + '</td>');
a.hl += '</tr>'
}
return a;
},{hl:"<style>th,td{border:1px solid black;}</style><table>",getHtml:function(){return this.hl + '</table>'}}).getHtml();
}
function getMySelects() {
return JSON.parse(companyCentricJSON()).pA
}
function launchCompanyCentricDialog() {
SpreadsheetApp.getUi().showModelessDialog(HtmlService.createHtmlOutputFromFile("ah4").setWidth(1200),"Company Centric Info Dialog")
}
html: ("ah4.html"):
<!DOCTYPE html>
<html>
<head>
<base target="_top">
</head>
<body>
<select id="sel1" onChange="displayData();" placeholder="Select Company"></select>
<div id="data"></div>
<div id="msg"></div>
<script>
window.onload = function() {
google.script.run
.withSuccessHandler(function (obj){
updateSelect(obj)
})
.getMySelects()
}
function updateSelect(vA,id){
var id=id || 'sel1';
var select = document.getElementById(id);
select.options.length = 0;
vA.unshift("");
for(var i=1;i<vA.length;i++){
select.options[i] = new Option(vA[i],vA[i]);
}
}
function displayData() {
let val = document.getElementById("sel1").value;
google.script.run
.withSuccessHandler(function (hl) {
document.getElementById("data").innerHTML = hl;
})
.getCompanyInfo(val);
}
</script>
</body>
</html>
对话演示：
我最终让它与这个一起工作
function organiseLeads() {
const [headers, ...leads] = leadSheet.getDataRange().getValues();
try {
for (var i in leads) {
var [leadId, name, email, companyName, region, type, industry, accountId, oppId, createdDate] = leads[i];
var date = Utilities.formatDate(createdDate,"GMT","dd-MM-yyyy");
if (!companies.names.hasOwnProperty(companyName)) {
companies.names[companyName] = {};
companies[companyName] = {
'region': region,
'type': type,
'createDate': date,
'ids': {
'opportunityId': oppId,
'accountId': accountId,
'leadId': leadId
},
'activities': [{
'type': 'Lead Created',
'date': date,
'detail': email
}]
}
} else if (companies.names.hasOwnProperty(companyName) && date.valueOf() < companies.names[companyName].createDate) {
companies.names[companyName].createDate = date;
companies.names[companyName].activities.push({ 'type': 'Lead Created', 'date': date, 'detail': email });
} else if (companies.names.hasOwnProperty(companyName) && createdDate.valueOf() > companies.names[companyName].createDate) {
companies.names[companyName].activities.push({ 'type': 'Lead Created', 'date': date, 'detail': email });
}
}
Logger.log(companies)
return companies;
} catch (e) {
Logger.log(e);
Logger.log(companies.hasOwnProperty(companyName));
Logger.log("%s, %s, %s, %s, %s, %s, %s, %s, %s, %s",leadId, name, email, companyName, region, type, industry, accountId, oppId, date);
Logger.log(companyName);
Logger.log(companies);
}
我将 companies.some() 换成了 .hasOwnProperty()，因为它的检查效果更好，速度更快。在我首先添加嵌套键值对之前，我还必须声明公司。最后，我添加了一个名为 'names' 的嵌套元素。我不确定我是否需要这个。
我认为@Cooper 有一个很好的答案，可以更容易地查看压缩代码，它只是没有解决我的特定用例问题。我会尝试根据我的需要更新他的解决方案。
我有这个数据工作簿 - dataset
现在，实际数据集可能有同一家公司的副本，我的最终目标是创建活动时间表，但这是另一个问题。
我在这里试图完成的是将此处以联系人为中心的数据（意味着每一行代表一个新联系人，而不是一家新公司）转换为以公司为中心的 JSON 数组。
这在下面的代码中表示
var companies = {
'names':[]
};
function organiseLeads() {
const leads = leadSheet.getDataRange().getValues();
leads.splice(0,1);
try {
for (var i in leads) {
var data = leads[i];
var companyName = data[3];
var exists = companies.names.some(function (company) {
return company === companyName;
});
Logger.log(exists);
if (exists == false) {
companies.names[companyName] = {
'region': data[4],
'type': data[5],
'createDate': data[9],
'ids': {
'opportunityId': data[8],
'accountId': data[7],
'leadId': data[0]
},
'activities': [{
'type': 'Lead Created',
'date': data[9],
'detail': data[2]
}]
}
} else if (exists == true && data[9].valueOf() < companies[companyName].createDate) {
companies.names[companyName].createDate = data[9];
companies.names[companyName].activities.push({ 'type': 'Lead Created', 'date': data[9], 'detail': data[2] });
} else if (exists == true && data[9].valueOf() > companies[companyName].createDate) {
companies.names[companyName].activities.push({ 'type': 'Lead Created', 'date': data[9], 'detail': data[2] });
}
}
} catch(e) {
Logger.log(e);
Logger.log(exists);
Logger.log(data);
Logger.log(companyName);
Logger.log(companies.names);
}
}
在此上下文中，leadSheet 指的是此处提到的数据集。它在其他地方的 Google 脚本中定义。
我也尝试过使用 companies.names.push([companyName = {}])（其中包含所有其他数据），但没有任何反应。
应该发生的是它检查公司是否已经存在于这个数组中。如果没有，它将创建为多维数组，使用公司名称作为主键，然后将详细信息作为嵌套键值对。
如果公司已经存在，它只是对该公司记录进行一些小的更改，然后 returns 整个 json 数组。
然而，发生的一切都不算什么。它根本不在 JSON 数组中设置任何内容。当我试图展平公司数组时，我得到错误 companies.some is not a function 和 exists 变量，它检查公司是否已经存在，总是returns 错误。
如何确保数据被正确地推入 JSON 数组？请记住，公司名称的密钥是动态生成的，而不是静态密钥。
我想保留上面代码中描述的 JSON 结构。
以公司为中心JSON
function companyCentricJson() {
const ss = SpreadsheetApp.getActive();
const sh = ss.getSheetByName("Sheet0");
const [hA,...vs]= sh.getDataRange().getValues();
const json = vs.reduce((a,[id,name,eml,co,reg,type,indus,acct,oppo,date],i) => {
if(!a.obj.hasOwnProperty(co)) {
a.obj[co] = [];
a.obj[co].push(hA)
a.obj[co].push([id,name,eml,co,reg,type,indus,acct,oppo,date]);
a.obj.pA.push(co);
} else {
a.obj[co].push([id,name,eml,co,reg,type,indus,acct,oppo,date])
}
return a;
},{obj:{pA:[]},json:function(){return JSON.stringify(this.obj)}}).json();
Logger.log(json);
return json;
}
数据Sheet:
| Id | Name | Company | Region | Type | Industry | Account Id | Opportunity Id | Create Date | |
|---|---|---|---|---|---|---|---|---|---|
| 123446 | Jon L | Jon L@Company 1.com | Company 1 | None | Enterprise | 9078900.00% | 44567800.00% | 01-03-2020 | |
| 123468 | Frank F | Frank F@Company 2.com | Company 2 | None | Mobile Operator | Telecommunications | 9076500.00% | 77654400.00% | 01-03-2020 |
| 123490 | Alex Y | Alex Y@Company 3.com | Company 3 | EMEA | 9074100.00% | 110741000.00% | 01-03-2020 | ||
| 123512 | Ilya A | Ilya A@Company 4.com | Company 4 | None | 9071700.00% | 143827600.00% | 01-03-2020 | ||
| 123534 | Mike M | Mike M@Company 5.com | Company 5 | None | 9069300.00% | 176914200.00% | 01-03-2020 | ||
| 123556 | Narimon O | Narimon O@Company 6.com | Company 6 | None | Service Provider | 9066900.00% | 210000800.00% | 01-03-2020 | |
| 123578 | Sagar S | Sagar S@Company 7.com | Company 7 | None | 9064500.00% | 243087400.00% | 02-03-2020 | ||
| 123600 | John C | John C@Company 8.com | Company 8 | None | 9062100.00% | 276174000.00% | 02-03-2020 | ||
| 123622 | Pete r | Pete r@Company 9.com | Company 9 | None | 9059700.00% | 309260600.00% | 02-03-2020 | ||
| 123644 | Ivelin I | Ivelin I@Company 10.com | Company 10 | None | 9057300.00% | 342347200.00% | 02-03-2020 | ||
| 123666 | Reginald R | Reginald R@Company 11.com | Company 11 | None | Enterprise | 9054900.00% | 375433800.00% | 02-03-2020 | |
| 123688 | Yossi R | Yossi R@Company 12.com | Company 12 | None | Enterprise | 9052500.00% | 408520400.00% | 02-03-2020 | |
| 123710 | Joey K | Joey K@Company 13.com | Company 13 | None | Service Provider | 9050100.00% | 441607000.00% | 02-03-2020 |
JSON:
{"pA":["Company 1","Company 2","Company 3","Company 4","Company 5","Company 6","Company 7","Company 8","Company 9","Company 10","Company 11","Company 12","Company 13"],"Company 1":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123446,"Jon L","Jon L@Company 1.com","Company 1","None","Enterprise","",90789,445678,"2020-03-01T07:00:00.000Z"]],"Company 2":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123468,"Frank F","Frank F@Company 2.com","Company 2","None","Mobile Operator","Telecommunications",90765,776544,"2020-03-01T07:00:00.000Z"]],"Company 3":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123490,"Alex Y","Alex Y@Company 3.com","Company 3","EMEA","","",90741,1107410,"2020-03-01T07:00:00.000Z"]],"Company 4":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123512,"Ilya A","Ilya A@Company 4.com","Company 4","None","","",90717,1438276,"2020-03-01T07:00:00.000Z"]],"Company 5":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123534,"Mike M","Mike M@Company 5.com","Company 5","None","","",90693,1769142,"2020-03-01T07:00:00.000Z"]],"Company 6":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123556,"Narimon O","Narimon O@Company 6.com","Company 6","None","Service Provider","",90669,2100008,"2020-03-01T07:00:00.000Z"]],"Company 7":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123578,"Sagar S","Sagar S@Company 7.com","Company 7","None","","",90645,2430874,"2020-03-02T07:00:00.000Z"]],"Company 8":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123600,"John C","John C@Company 8.com","Company 8","None","","",90621,2761740,"2020-03-02T07:00:00.000Z"]],"Company 9":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123622,"Pete r","Pete r@Company 9.com","Company 9","None","","",90597,3092606,"2020-03-02T07:00:00.000Z"]],"Company 10":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123644,"Ivelin I","Ivelin I@Company 10.com","Company 10","None","","",90573,3423472,"2020-03-02T07:00:00.000Z"]],"Company 11":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123666,"Reginald R","Reginald R@Company 11.com","Company 11","None","Enterprise","",90549,3754338,"2020-03-02T07:00:00.000Z"]],"Company 12":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123688,"Yossi R","Yossi R@Company 12.com","Company 12","None","Enterprise","",90525,4085204,"2020-03-02T07:00:00.000Z"]],"Company 13":[["Id","Name","Email","Company","Region","Type","Industry","Account Id","Opportunity Id","Create Date"],[123710,"Joey K","Joey K@Company 13.com","Company 13","None","Service Provider","",90501,4416070,"2020-03-02T07:00:00.000Z"]]}
读取数据的对话框
GS:
function getCompanyInfo(name="Company 1") {
const vs = JSON.parse(companyCentricJSON())[name];
//Logger.log(JSON.stringify(vs));
return vs.reduce((a,c,i) => {
if(i == 0) {
a.hl += '<tr>'
c.forEach(e => a.hl += '<th>' + e + '</th>');
a.hl += '</tr>'
} else {
a.hl += '<tr>'
c.forEach(e => a.hl += '<td>' + e + '</td>');
a.hl += '</tr>'
}
return a;
},{hl:"<style>th,td{border:1px solid black;}</style><table>",getHtml:function(){return this.hl + '</table>'}}).getHtml();
}
function getMySelects() {
return JSON.parse(companyCentricJSON()).pA
}
function launchCompanyCentricDialog() {
SpreadsheetApp.getUi().showModelessDialog(HtmlService.createHtmlOutputFromFile("ah4").setWidth(1200),"Company Centric Info Dialog")
}
html: ("ah4.html"):
<!DOCTYPE html>
<html>
<head>
<base target="_top">
</head>
<body>
<select id="sel1" onChange="displayData();" placeholder="Select Company"></select>
<div id="data"></div>
<div id="msg"></div>
<script>
window.onload = function() {
google.script.run
.withSuccessHandler(function (obj){
updateSelect(obj)
})
.getMySelects()
}
function updateSelect(vA,id){
var id=id || 'sel1';
var select = document.getElementById(id);
select.options.length = 0;
vA.unshift("");
for(var i=1;i<vA.length;i++){
select.options[i] = new Option(vA[i],vA[i]);
}
}
function displayData() {
let val = document.getElementById("sel1").value;
google.script.run
.withSuccessHandler(function (hl) {
document.getElementById("data").innerHTML = hl;
})
.getCompanyInfo(val);
}
</script>
</body>
</html>
对话演示：
我最终让它与这个一起工作
function organiseLeads() {
const [headers, ...leads] = leadSheet.getDataRange().getValues();
try {
for (var i in leads) {
var [leadId, name, email, companyName, region, type, industry, accountId, oppId, createdDate] = leads[i];
var date = Utilities.formatDate(createdDate,"GMT","dd-MM-yyyy");
if (!companies.names.hasOwnProperty(companyName)) {
companies.names[companyName] = {};
companies[companyName] = {
'region': region,
'type': type,
'createDate': date,
'ids': {
'opportunityId': oppId,
'accountId': accountId,
'leadId': leadId
},
'activities': [{
'type': 'Lead Created',
'date': date,
'detail': email
}]
}
} else if (companies.names.hasOwnProperty(companyName) && date.valueOf() < companies.names[companyName].createDate) {
companies.names[companyName].createDate = date;
companies.names[companyName].activities.push({ 'type': 'Lead Created', 'date': date, 'detail': email });
} else if (companies.names.hasOwnProperty(companyName) && createdDate.valueOf() > companies.names[companyName].createDate) {
companies.names[companyName].activities.push({ 'type': 'Lead Created', 'date': date, 'detail': email });
}
}
Logger.log(companies)
return companies;
} catch (e) {
Logger.log(e);
Logger.log(companies.hasOwnProperty(companyName));
Logger.log("%s, %s, %s, %s, %s, %s, %s, %s, %s, %s",leadId, name, email, companyName, region, type, industry, accountId, oppId, date);
Logger.log(companyName);
Logger.log(companies);
}
我将 companies.some() 换成了 .hasOwnProperty()，因为它的检查效果更好，速度更快。在我首先添加嵌套键值对之前，我还必须声明公司。最后，我添加了一个名为 'names' 的嵌套元素。我不确定我是否需要这个。
我认为@Cooper 有一个很好的答案，可以更容易地查看压缩代码，它只是没有解决我的特定用例问题。我会尝试根据我的需要更新他的解决方案。