我正在从 API 获取一组对象,如下所示:
[
{
jobId:100,
jobName: "Java",
cities:[
{
cityId:10,
name : "chicago"
},
{
statusId:11,
name : "miami"
}]
},
{
jobId:101,
jobName: "Python",
cities:[
{
cityId:11,
name : "california"
},
{
cityId:12,
name : "texas"
}]
}
]
我想访问特定工作的城市名称,如下所示:
var jobId = 101;
var cityId = 12;
var texas = jobDict[jobId].cityDict[cityId] // output: texas
代码:
angular.forEach(response.data, function (data) {
if (jobsDict[data.jobId] == undefined) {
jobsDict[data.jobId] = [];
}
angular.forEach(data.cities, function (city) {
jobsDict[data.jobId].push({
cityDic[city.cityId]: city.name // syntax error here saying unexpected token
});
});
});
我正在尝试创建工作字典,并在工作字典中创建城市字典。
有人可以帮我解决问题并实现所需的输出吗?
答案 0 :(得分:1)
您的 jobsDict
是一个数组,因此使用基于 0 的索引,而不是 jobID
键。
对于嵌套的 cities
也是如此。
let jobDict = [{
jobId: 100,
jobName: "Java",
cities: [{
cityId: 10,
name: "chicago"
}, {
statusId: 11,
name: "miami"
}]
}, {
jobId: 101,
jobName: "Python",
cities: [{
cityId: 11,
name: "california"
}, {
cityId: 12,
name: "texas"
}]
}];
let jobId = 101;
let cityId = 12;
let texas =
jobDict.find(job => job.jobId === jobId)
.cities.find(city => city.cityId === cityId)
.name;
console.log(texas);
跟进您的评论,如果您真的很关心性能(除非您有 1000 条条目,否则您不应该如此),以下是将原始结构转换为使用该作业的“字典”结构的方法和城市 ID 作为键:
let jobs = [{
jobId: 100,
jobName: "Java",
cities: [{
cityId: 10,
name: "chicago"
}, {
cityId: 11,
name: "miami"
}]
}, {
jobId: 101,
jobName: "Python",
cities: [{
cityId: 11,
name: "california"
}, {
cityId: 12,
name: "texas"
}]
}];
let jobsById = Object.fromEntries(jobs.map(({jobId, jobName, cities}) =>
[jobId, {jobName, cities: Object.fromEntries(cities.map(({cityId, name}) => [cityId, name]))}]));
// Equivilant using tradiational for loops.
let jobsById2 = {};
for (job of jobs) {
let cities = {};
for (city of job.cities)
cities[city.cityId] = city.name;
jobsById2[job.jobId] = {jobName: job.jobName, cities};
}
console.log(jobsById[101].cities[12]);
console.log(jobsById2[101].cities[12]);
答案 1 :(得分:1)
也许是这样的:
const jobArray = [{
jobId: 100,
jobName: "Java",
cities: [{
cityId: 10,
name: "chicago"
},
{
cityId: 11,
name: "miami"
}
]
},
{
jobId: 101,
jobName: "Python",
cities: [{
cityId: 11,
name: "california"
},
{
cityId: 12,
name: "texas"
}
]
}
];
function index_job_array_A(jobArray) {
return jobArray.reduce(
(acc, item) => Object.assign(acc, {
[item.jobId]: Object.assign({}, item, {
cities: item.cities.reduce(
(acc, item) => Object.assign(acc, { [item.cityId]: item }),
{}
)
})
}),
{}
);
};
function index_job_array_B(jobArray) {
let indexed_jobs = {};
jobArray.forEach(function(job) {
let indexed_cities = {};
job.cities.forEach(function(city) {
indexed_cities[city.cityId] = city;
});
indexed_jobs[job.jobId] = { ...job, cities: indexed_cities };
});
return indexed_jobs;
};
const jobDictA = index_job_array_A(jobArray);
const jobDictB = index_job_array_B(jobArray);
console.log(jobDictA['100'].cities['10']);
console.log(jobDictB['100'].cities['10']);