作为前端程序员,总是不可避免的要把接口数据转换成各种需要的数据类型.
遇到这种情况不要慌,要习惯封装函数来做到批量的转换数据.
几个小案例练习了一下:
案例1:
接口拿到的数据:
[{label:‘男’，value: 1}, {label:‘女’，value: 0}]
目标数据:
{‘1’: ‘男’， ‘0’: ‘女’}
const arr = [{ label: ‘男’, value: 1 }, { label: ‘女’, value: 0 }]
function f (arr) {
// 写代码，得到
const obj = {}
arr.forEach(element => {
obj[element.value] = element.label
});
return obj
}
const obj = f(arr);
console.log(obj)
// obj = {‘1’: ‘男’， ‘0’: ‘女’}
案例2:
接口拿到的数据:
[{label:‘男’,value: 1}, {label:‘女’,value: 0}]
目标数据:
[‘男’, ‘女’]
const arr = [{label:‘男’,value: 1}, {label:‘女’,value: 0}]
function f(arr) {
// 写代码，得到
const res = arr.map(item => {
return item.label
})
return res
}
var arr2 = f(arr);
console.log(arr2)
// arr2 = [‘男’, ‘女’]
案例3:
接口拿到的数据:
{id:“01”, name: “张大大”, pid:“”, job: “项目经理”},
{id:“02”, name: “小亮”, pid:“01”, job: “产品leader”},
{id:“03”, name: “小美”, pid:“01”, job: “UIleader”},
{id:“04”, name: “老马”, pid:“01”, job: “技术leader”},
{id:“05”, name: “老王”, pid:“01”, job: “测试leader”},
{id:“06”, name: “老李”, pid:“01”, job: “运维leader”},
{id:“07”, name: “小丽”, pid:“02”, job: “产品经理”},
{id:“08”, name: “大光”, pid:“02”, job: “产品经理”},
{id:“09”, name: “小高”, pid:“03”, job: “UI设计师”},
{id:“10”, name: “小刘”, pid:“04”, job: “前端工程师”},
{id:“11”, name: “小华”, pid:“04”, job: “后端工程师”},
{id:“12”, name: “小李”, pid:“04”, job: “后端工程师”},
{id:“13”, name: “小赵”, pid:“05”, job: “测试工程师”},
{id:“14”, name: “小强”, pid:“05”, job: “测试工程师”},
{id:“15”, name: “小涛”, pid:“06”, job: “运维工程师”}
]
目标数据:
1.找出与某同事(小刘)同一领导的平级同事
2.找出某同事(小亮)的所有下属
const data = [
{id:“01”, name: “张大大”, pid:“”, job: “项目经理”},
{id:“02”, name: “小亮”, pid:“01”, job: “产品leader”},
{id:“03”, name: “小美”, pid:“01”, job: “UIleader”},
{id:“04”, name: “老马”, pid:“01”, job: “技术leader”},
{id:“05”, name: “老王”, pid:“01”, job: “测试leader”},
{id:“06”, name: “老李”, pid:“01”, job: “运维leader”},
{id:“07”, name: “小丽”, pid:“02”, job: “产品经理”},
{id:“08”, name: “大光”, pid:“02”, job: “产品经理”},
{id:“09”, name: “小高”, pid:“03”, job: “UI设计师”},
{id:“10”, name: “小刘”, pid:“04”, job: “前端工程师”},
{id:“11”, name: “小华”, pid:“04”, job: “后端工程师”},
{id:“12”, name: “小李”, pid:“04”, job: “后端工程师”},
{id:“13”, name: “小赵”, pid:“05”, job: “测试工程师”},
{id:“14”, name: “小强”, pid:“05”, job: “测试工程师”},
{id:“15”, name: “小涛”, pid:“06”, job: “运维工程师”}
]
// 问题1. 找出 与 小刘 处于统一领导下的同事
function f(data, name){
// 完成代码
// 1.找小刘
const liu = data.filter(item => {
return item.name === name
})
console.log(liu);
// 2.找小刘的领导
const leader = data.filter(item => {
return item.id === liu[0].pid
})
console.log(leader);
// 3.找小刘的领导的所有下属
const colleague = data.filter(item => {
return item.pid === leader[0].id
})
console.log(colleague);
return colleague
}
const arr1 = f(data, ‘小刘’)
console.log(arr1) //
// [{id:“10”, name: “小刘”, pid:“04”, job: “前端工程师”},
// {id:“11”, name: “小华”, pid:“04”, job: “后端工程师”},
// {id:“12”, name: “小李”, pid:“04”, job: “后端工程师”}]
// 问题2. 找出 小亮 的所有下属
function f2(data, name){
// 完成代码
// 1.找到小亮
const liang = data.filter(item => {
return item.name === name
})
console.log(liang);
// 2.找到小亮的所有下属
const underlings = data.filter(item => {
return item.pid === liang[0].id
})
console.log(underlings);
return underlings
}
const arr2 = f2(data, ‘小亮’)
console.log(arr2) //
// [{id:“07”, name: “小丽”, pid:“02”, job: “产品经理”},
// {id:“08”, name: “大光”, pid:“02”, job: “产品经理”}]
案例4:
接口拿到的数据:
{label:‘男’,value: 1,age: 18}
目标数据:
[‘男’, ‘1’, ‘18’]
const obj = {label:‘男’,value: 1,age: 18}
function f(obj) {
// 写代码，得到
const res = Object.values(obj)
console.log(res);
return res
}
const arr = f(obj);
console.log(arr)
// arr = [‘男’, ‘1’, ‘18’] // 所有的属性值取出来，保存在数组中
案例5:
接口拿到的数据:
const arr = [
{name: ‘张三’, age: 18, address: ‘湖北’},
{name: ‘李四’, age: 18, address: ‘安徽’},
{name: ‘王五’, age: 18, address: ‘北京’}
]
const map = { name: ‘姓名’, age: ‘年龄’, address: ‘地址’}
目标数据:
{‘姓名’: ‘张三’, ‘年龄’: 18, ‘地址’: ‘湖北’},
{‘姓名’: ‘李四’, ‘年龄’: 18, ‘地址’: ‘安徽’},
{‘姓名’: ‘王五’, ‘年龄’: 18, ‘地址’: ‘北京’}
]
实现方式
function change(arr, map) {
const mapKeys = Object.keys(map)
// 遍历对象属性
const res = mapKeys.reduce((sum,item) => {
// 数组转成字符串,再进行字符串替换,再转回去
return JSON.parse(JSON.stringify(sum).replaceAll(item,map[item]))
},arr)
return res
}
const arr2 = change(arr, map)