我有这样的JSON
"result": [{
"channel": "A",
"mkp": "ABC",
"qtd": 6,
"total": 2938.2,
"data": "2019-02-16",
"time": "22:30:40"
}, {
"channel": "C",
"mkp": "DEF",
"qtd": 1545,
"total": 2127229.64,
"data": "2019-02-20",
"time": "17:19:49"
}, {
"channel": "C",
"mkp": "JKL",
"qtd": 976,
"total": 1307328.37,
"data": "2019-02-20",
"time": "17:19:53"
}, {
"channel": "U",
"mkp": "PQR",
"qtd": 77,
"total": 98789.87,
"data": "2019-02-20",
"time": "16:12:31"
}, {
"channel": "U",
"mkp": "STU",
"qtd": 427,
"total": 433206.62,
"data": "2019-02-20",
"time": "17:04:27"
}
]
我需要对QTD求和,并在通道相同时返回最新数据+时间(例如:通道C和U有2个条目),如果不是,那么我将只显示值,但是我不知道该如何迭代和进行这些数学运算。有人可以帮忙吗?
我想要的样本:
"A": [{
"qtd": 6,
"total": 2938.20,
"dateTime": 2019 - 02 - 16 22: 30: 40 "
}],
"C": [{
"qtd": 2.521,
"total": 3434558.01,
"dateTime": 2019 - 02 - 20 17: 19: 53 "
}],
"U": [{
"qtd": 504,
"total": 531996,
49,
"dateTime": 2019 - 02 - 20 17: 04: 27 "
}]
目前,我使用filter
来分隔值,如下所示:
this.channelA = this.receivedJson.filter(({ channel }) => channel === "A");
答案 0 :(得分:0)
您可以使用reduce
方法并返回一个带有对象作为值的对象。
const data = [{"channel":"A","mkp":"ABC","qtd":6,"total":2938.2,"data":"2019-02-16","time":"22:30:40"},{"channel":"C","mkp":"DEF","qtd":1545,"total":2127229.64,"data":"2019-02-20","time":"17:19:49"},{"channel":"C","mkp":"JKL","qtd":976,"total":1307328.37,"data":"2019-02-20","time":"17:19:53"},{"channel":"U","mkp":"PQR","qtd":77,"total":98789.87,"data":"2019-02-20","time":"16:12:31"},{"channel":"U","mkp":"STU","qtd":427,"total":433206.62,"data":"2019-02-20","time":"17:04:27"}]
const res = data.reduce((r, {channel, qtd, total, data, time}) => {
const dateTime = `${data} ${time}`
if(!r[channel]) r[channel] = {qtd, total, dateTime}
else {
r[channel].total += total
r[channel].qtd += qtd;
r[channel].dateTime = dateTime
}
return r;
}, {})
console.log(res)
答案 1 :(得分:0)
您使用reduce
对基于channel
的值进行分组,如下所示:
const input = [{"channel":"A","mkp":"ABC","qtd":6,"total":2938.2,"data":"2019-02-16","time":"22:30:40"},{"channel":"C","mkp":"DEF","qtd":1545,"total":2127229.64,"data":"2019-02-20","time":"17:19:49"},{"channel":"C","mkp":"JKL","qtd":976,"total":1307328.37,"data":"2019-02-20","time":"17:19:53"},{"channel":"U","mkp":"PQR","qtd":77,"total":98789.87,"data":"2019-02-20","time":"16:12:31"},{"channel":"U","mkp":"STU","qtd":427,"total":433206.62,"data":"2019-02-20","time":"17:04:27"}]
const merged = input.reduce((acc, { channel, qtd, total, data, time }) => {
acc[channel] = acc[channel] || [{ qtd: 0, total: 0, dateTime:'' }];
const group = acc[channel][0];
group.qtd += qtd;
group.total += total;
const dateTime = `${data} ${time}`
if(dateTime > group.dateTime)
group.dateTime = dateTime;
return acc;
}, {})
console.log(merged)