我正在尝试使用 individualData 数组的“positionTitle”字段更新 graphData 对象的“positionTitle”字段。
我需要准确地做到这一点，两组数据都有“帐户”，它们都有相同的用户 ID 和全名，我希望尝试使用它来进行匹配。
我希望具有相同帐户 ID 或名称(以更容易的为准)的用户的positionTitle 进入对象字段。
这是我目前所拥有的: 我的对象(我想更新):
graphData = {
"name": "Annual meetings",
"engagementAreas": [{
"id": "1",
"engagementTypes": [{
"name": "forestry",
"engagements": []
},
{
"name": "houses",
"engagements": [{
"name": "engagement1",
"members": [{
"id": "e334", "account": {
"id": "eefe", "fullName": "jim bean"
},
"position": {
"id": "3434",
"positionTitle": "Manager"
}
}]
}]
},
{
"name": "landscaping",
"engagements": [{
"name": "engagement1343",
"members": [{
"id": "e334", "account": {
"id": "123", "fullName": "john boer"
},
"position": {
"id": "4545",
"positionTitle": "Senior Manager"
}
}]
}]
}
]
},
{
"name": "community days",
"engagementTypes": [{
"name": "skyscraping",
"engagements": []
},
{
"name": "tennis",
"engagements": [{
"name": "engagement346",
"members": [{
"id": "34", "account": {
"id": "0010X000048DDMsQAO", "fullName": "edy long"
},
"position": {
"id": "3999434",
"positionTitle": "Ultime Manager"
}
}]
}]
},
{
"name": "Juicing",
"engagements": [{
"name": "347343",
"members": [{
"id": "4546", "account": {
"id": "001b000003WnPy1AAF", "fullName": "jeff bint"
},
"position": {
"id": "35006",
"positionTitle": "Senior Ultimate Manager"
}
}]
}]
}]
}]
}
我想要获取其positionTitles的数组:
IndividualData = [{
"account": {
"id": "001b000003WnPy1AAF",
"fullName": "jeff bint"
},
"positions": [{
"id": "a16b0000004AxeBAAS",
"organizationId": "001b0000005gxmlAAA",
"organizationName": "a",
"positionTitle": "Senior Manager, Energy",
"positionLevel": "5-Middle Management & Advisers",
"isPrimary": true,
"startDate": "2016-10-07",
"endDate": null
}]
}, {
"account": {
"id": "0010X000048DDMsQAO",
"fullName": "edy long"
},
"positions": [{
"id": "a160X000004nKfhQAE",
"organizationId": "001b0000005gxmlAAA",
"organizationName": "a",
"positionTitle": "Managing Director",
"positionLevel": "4-Head of Business Unit/Head of Region",
"isPrimary": true,
"startDate": "2018-03-05",
"endDate": null
}]
}, {
"account": {
"id": "123",
"fullName": "john boer"
},
"positions": [{
"id": "325345634634",
"organizationId": "001b0000005gxmlAAA",
"organizationName": "a",
"positionTitle": "Managing Director",
"positionLevel": "4-Head of Business Unit/Head of Region",
"isPrimary": true,
"startDate": "2018-03-05",
"endDate": null
}]
}
]
我当前使用的函数，它确实采用数组的第一个positiontitle字段:
const updatedGraphTable = { ...graphData,
engagementAreas: graphData.engagementAreas.map(area => ({ ...area,
engagementTypes: area.engagementTypes.map(type => ({ ...type,
engagements: type.engagements.map(engagement => ({ ...engagement,
members: engagement.members.map(member => ({ ...member,
position: { ...member.position,
positionTitle: IndividualData[0].positions[0].positionTitle
}
}))
}))}))
}))
};
console.log(updatedGraphTable)
console.log('a' + JSON.stringify(updatedGraphTable))
我的预期结果与更新的位置:
updatedGraphData = {
"name": "Annual meetings",
"engagementAreas": [{
"id": "1",
"engagementTypes": [{
"name": "forestry",
"engagements": []
},
{
"name": "houses",
"engagements": [{
"name": "engagement1",
"members": [{
"id": "e334", "account": {
"id": "eefe", "fullName": "jim bean"
},
"position": {
"id": "3434",
"positionTitle": "Manager"
}
}]
}]
},
{
"name": "landscaping",
"engagements": [{
"name": "engagement1343",
"members": [{
"id": "e334", "account": {
"id": "123", "fullName": "john boer"
},
"position": {
"id": "4545",
"positionTitle": "Managing Director"
}
}]
}]
}
]
},
{
"name": "community days",
"engagementTypes": [{
"name": "skyscraping",
"engagements": []
},
{
"name": "tennis",
"engagements": [{
"name": "engagement346",
"members": [{
"id": "34", "account": {
"id": "0010X000048DDMsQAO", "fullName": "edy long"
},
"position": {
"id": "3999434",
"positionTitle": "Managing Director"
}
}]
}]
},
{
"name": "Juicing",
"engagements": [{
"name": "347343",
"members": [{
"id": "4546", "account": {
"id": "001b000003WnPy1AAF", "fullName": "jeff bint"
},
"position": {
"id": "35006",
"positionTitle": "Senior Manager, Energy"
}
}]
}]
}]
}]
}
我目前的结果:
{
"name": "Annual meetings",
"engagementAreas": [{
"id": "1",
"engagementTypes": [{
"name": "forestry",
"engagements": []
}, {
"name": "houses",
"engagements": [{
"name": "engagement1",
"members": [{
"id": "e334",
"account": {
"id": "eefe"
},
"position": {
"id": "3434",
"positionTitle": "Senior Manager, Energy"
}
}]
}]
}, {
"name": "landscaping",
"engagements": [{
"name": "engagement1343",
"members": [{
"position": {
"id": "4545",
"positionTitle": "Senior Manager, Energy"
}
}]
}]
}]
}, {
"name": "community days",
"engagementTypes": [{
"name": "skyscraping",
"engagements": []
}, {
"name": "tennis",
"engagements": [{
"name": "engagement346",
"members": [{
"id": "34",
"account": {
"id": "3546"
},
"position": {
"id": "3999434",
"positionTitle": "Senior Manager, Energy"
}
}]
}]
}, {
"name": "Juicing",
"engagements": [{
"name": "347343",
"members": [{
"id": "4546",
"account": {
"id": "3545"
},
"position": {
"id": "35006",
"positionTitle": "Senior Manager, Energy"
}
}]
}]
}]
}]
}
最佳答案
当然，诀窍是首先将您的数据映射到一个对象中(这样您就不必一直搜索两个数组)，然后有条件地设置值(正如我看到您的第一个经理，不确实没有匹配的位置)。
因此，要创建字典以供以后的模型使用，您可以首先执行以下操作
// first map the accountId to positions
const accountIdToPositionDict = individualData.reduce( (current, item) => {
current[item.account.id] = (item.positions.filter( position => position.isPrimary )[0] || {} ).positionTitle;
return current;
}, {} );
这将有一个对象，其中 accountIdToPositionDict["123"] 将是 Managing Director，然后将复制逻辑更改为:
const updatedGraphTable = { ...graphData,
engagementAreas: graphData.engagementAreas.map(area => ({ ...area,
engagementTypes: area.engagementTypes.map(type => ({ ...type,
engagements: type.engagements.map(engagement => ({ ...engagement,
members: engagement.members.map(member => ({ ...member,
position: { ...member.position,
// use the found positionTitle, or the original one that was given
positionTitle: member.account && accountIdToPositionDict[member.account.id] || member.position.positionTitle
}
}))
}))}))
}))
};
然后根据在字典中找到的 accountId 或原始标题(如果未找到匹配项)设置位置
const individualData = [{
"account": {
"id": "001b000003WnPy1AAF",
"fullName": "jeff bint"
},
"positions": [{
"id": "a16b0000004AxeBAAS",
"organizationId": "001b0000005gxmlAAA",
"organizationName": "a",
"positionTitle": "Senior Manager, Energy",
"positionLevel": "5-Middle Management & Advisers",
"isPrimary": true,
"startDate": "2016-10-07",
"endDate": null
}]
}, {
"account": {
"id": "0010X000048DDMsQAO",
"fullName": "edy long"
},
"positions": [{
"id": "a160X000004nKfhQAE",
"organizationId": "001b0000005gxmlAAA",
"organizationName": "a",
"positionTitle": "Managing Director",
"positionLevel": "4-Head of Business Unit/Head of Region",
"isPrimary": true,
"startDate": "2018-03-05",
"endDate": null
}]
}, {
"account": {
"id": "123",
"fullName": "john boer"
},
"positions": [{
"id": "325345634634",
"organizationId": "001b0000005gxmlAAA",
"organizationName": "a",
"positionTitle": "Managing Director",
"positionLevel": "4-Head of Business Unit/Head of Region",
"isPrimary": true,
"startDate": "2018-03-05",
"endDate": null
}]
}
];
const graphData = {
"name": "Annual meetings",
"engagementAreas": [{
"id": "1",
"engagementTypes": [{
"name": "forestry",
"engagements": []
},
{
"name": "houses",
"engagements": [{
"name": "engagement1",
"members": [{
"id": "e334", "account": {
"id": "eefe", "fullName": "jim bean"
},
"position": {
"id": "3434",
"positionTitle": "Manager"
}
}]
}]
},
{
"name": "landscaping",
"engagements": [{
"name": "engagement1343",
"members": [{
"id": "e334", "account": {
"id": "123", "fullName": "john boer"
},
"position": {
"id": "4545",
"positionTitle": "Senior Manager"
}
}]
}]
}
]
},
{
"name": "community days",
"engagementTypes": [{
"name": "skyscraping",
"engagements": []
},
{
"name": "tennis",
"engagements": [{
"name": "engagement346",
"members": [{
"id": "34", "account": {
"id": "0010X000048DDMsQAO", "fullName": "edy long"
},
"position": {
"id": "3999434",
"positionTitle": "Ultime Manager"
}
}]
}]
},
{
"name": "Juicing",
"engagements": [{
"name": "347343",
"members": [{
"id": "4546", "account": {
"id": "001b000003WnPy1AAF", "fullName": "jeff bint"
},
"position": {
"id": "35006",
"positionTitle": "Senior Ultimate Manager"
}
}]
}]
}]
}]
};
// first map the accountId to positions
const accountIdToPositionDict = individualData.reduce( (current, item) => {
current[item.account.id] = (item.positions.filter( position => position.isPrimary )[0] || {} ).positionTitle;
return current;
}, {} );
// then use it in the mapping function
const updatedGraphTable = { ...graphData,
engagementAreas: graphData.engagementAreas.map(area => ({ ...area,
engagementTypes: area.engagementTypes.map(type => ({ ...type,
engagements: type.engagements.map(engagement => ({ ...engagement,
members: engagement.members.map(member => ({ ...member,
position: { ...member.position,
// use the found positionTitle, or the original one that was given
positionTitle: member.account && accountIdToPositionDict[member.account.id] || member.position.positionTitle
}
}))
}))}))
}))
};
console.log( updatedGraphTable );关于javascript - 使用数组中的值更新对象数据，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/52259094/