我有一系列通知,我想按特定条件对其进行分组(例如 Facebook 的通知)
var data = [
{ id: 1, type: 'shop.follower', by: { id: 2, name: 'User B', }, in: null, read_at: '2021-01-03 10:15:43', created_at: '2020-08-02 05:21:20' },
{ id: 2, type: 'product.liked', by: { id: 2, name: 'User B' }, in: { id: 1, ... }, read_at: '2021-01-03 10:15:43', created_at: '2020-08-02 05:24:45' },
{ id: 3, type: 'product.commented', by: { id: 3, name: 'User C' }, in: { id: 1, ... }, read_at: '2021-02-20 20:01:39', created_at: '2021-02-19 16:21:43' },
{ id: 4, type: 'product.liked', by: { id: 4, name: 'User D' }, in: { id: 1, ... }, read_at: '2021-03-29 15:14:21', created_at: '2021-03-28 08:11:50' },
{ id: 5, type: 'product.liked', by: { id: 3, name: 'User C' }, in: { id: 1, ... }, read_at: null, created_at: '2021-03-28 08:12:24' },
{ id: 6, type: 'shop.follower', by: { id: 5, name: 'User E' }, in: null, read_at: null, created_at: '2021-05-23 10:02:21' },
{ id: 7, type: 'shop.follower', by: { id: 3, name: 'User C' }, in: null, read_at: null, created_at: '2021-07-18 10:31:12' },
{ id: 8, type: 'comment.replied', by: { id: 4, name: 'User D' }, in: { id: 6, ... }, read_at: null, created_at: '2021-07-24 08:34:25' },
]
假设我想按日期按降序分组
所以我有这个代码:
function sortByDate(array, desc = true) {
if (desc === false) {
// Ascending order
return array.sort((a, b) => {
if (new Date(a.created_at) > new Date(b.created_at)) {
return 1
} else {
return -1
}
return 0
})
}
// Descending order
return array.sort((a, b) => {
if (new Date(a.created_at) < new Date(b.created_at)) {
return 1
} else {
return -1
}
return 0
})
}
所以现在我们有这样的数组:
[
{ id: 8, type: 'comment.replied', by: { id: 4, name: 'User D' }, in: { id: 6, ... }, read_at: null, created_at: '2021-07-24 08:34:25' },
{ id: 7, type: 'shop.follower', by: { id: 3, name: 'User C' }, in: null, read_at: null, created_at: '2021-07-18 10:31:12' },
{ id: 6, type: 'shop.follower', by: { id: 5, name: 'User E' }, in: null, read_at: null, created_at: '2021-05-23 10:02:21' },
{ id: 5, type: 'product.liked', by: { id: 3, name: 'User C' }, in: { id: 1, ... }, read_at: null, created_at: '2021-03-28 08:12:24' },
{ id: 4, type: 'product.liked', by: { id: 4, name: 'User D' }, in: { id: 1, ... }, read_at: '2021-03-29 15:14:21', created_at: '2021-03-28 08:11:50' },
{ id: 3, type: 'product.commented', by: { id: 3, name: 'User C' }, in: { id: 1, ... }, read_at: '2021-02-20 20:01:39', created_at: '2021-02-19 16:21:43' },
{ id: 2, type: 'product.liked', by: { id: 2, name: 'User B' }, in: { id: 1, ... }, read_at: '2021-01-03 10:15:43', created_at: '2020-08-02 05:24:45' },
{ id: 1, type: 'shop.follower', by: { id: 2, name: 'User B', }, in: null, read_at: '2021-01-03 10:15:43', created_at: '2020-08-02 05:21:20' },
]
既然我们的数组已经排序,我创建了一个函数:
// https://www.tutorialspoint.com/most-efficient-method-to-groupby-on-an-array-of-objects-in-javascript
function groupByProperty(array, property) {
return array.reduce((acc, object) => {
const key = object[property]
if (! acc[key]) {
acc[key] = []
}
acc[key].push(object)
return acc
}, {})
}
然后,我运行这段代码
Object.values(groupByProperty(data, 'type'))
哪个返回:
[
[
{ id: 8, type: 'comment.replied', by: { id: 4, name: 'User D' }, in: { id: 6, ... }, read_at: null, created_at: '2021-07-24 08:34:25' }
],
[
{ id: 7, type: 'shop.follower', by: { id: 3, name: 'User C' }, in: null, read_at: null, created_at: '2021-07-18 10:31:12' },
{ id: 6, type: 'shop.follower', by: { id: 5, name: 'User E' }, in: null, read_at: null, created_at: '2021-05-23 10:02:21' },
{ id: 1, type: 'shop.follower', by: { id: 2, name: 'User B', }, in: null, read_at: '2021-01-03 10:15:43', created_at: '2020-08-02 05:21:20' }
],
[
{ id: 5, type: 'product.liked', by: { id: 3, name: 'User C' }, in: { id: 1, ... }, read_at: null, created_at: '2021-03-28 08:12:24' },
{ id: 4, type: 'product.liked', by: { id: 4, name: 'User D' }, in: { id: 1, ... }, read_at: '2021-03-29 15:14:21', created_at: '2021-03-28 08:11:50' },
{ id: 2, type: 'product.liked', by: { id: 2, name: 'User B' }, in: { id: 1, ... }, read_at: '2021-01-03 10:15:43', created_at: '2020-08-02 05:24:45' }
],
[
{ id: 3, type: 'product.commented', by: { id: 3, name: 'User C' }, in: { id: 1, ... }, read_at: '2021-02-20 20:01:39', created_at: '2021-02-19 16:21:43' }
],
]
我想按以下类别对这些通知进行分组:
type
(我已经在我的函数 groupByProperty()
中介绍了这一点)in: { id: ... }
,除了type: shop.follower
created_at: ...
日期间隔在 10 分钟之间的类似对象read_at
= null,那么它将是一个未读通知,获取最新(最新)日期在id: 4
和id: 5
中,时间戳之间的间隔小于10分钟,所以我希望将其分组为一个
预期输出示例:
[
[
{ by: {id: 4, name: "User D"}, created_at: "2021-07-24 08:34:25", id: 8, in: {id: 6}, read_at: null, type: "comment.replied" }
],
[
{ by: {id: 3, name: "User C"}, created_at: "2021-07-18 10:31:12", id: 7, in: null, read_at: null, type: "shop.follower" }
],
[
{ by: {id: 5, name: "User E"}, created_at: "2021-05-23 10:02:21", id: 6, in: null, read_at: null, type: "shop.follower" }
],
[
{ by: {id: 3, name: "User C"}, created_at: "2021-03-28 08:12:24", id: 5, in: {id: 1}, read_at: null, type: "product.liked" },
{ by: {id: 4, name: "User D"}, created_at: "2021-03-28 08:11:50", id: 4, in: {id: 1}, read_at: "2021-03-29 15:14:21", type: "product.liked" }
],
[
{ by: {id: 3, name: "User C"}, created_at: "2021-02-19 16:21:43", id: 3, in: {id: 1}, read_at: "2021-02-20 20:01:39", type: "product.commented" }
],
[
{ by: {id: 2, name: "User B"}, created_at: "2020-08-02 05:24:45", id: 2, in: {id: 1}, read_at: "2021-01-03 10:15:43", type: "product.liked" }
],
[
{ by: {id: 2, name: "User B"}, created_at: "2020-08-02 05:21:20", id: 1, in: null, read_at: "2021-01-03 10:15:43", type: "shop.follower" }
],
]
浏览器中的示例:
|------------------------------------------------------------------------------|
| - (UNREAD) User D replied to your comment ....., 2021-07-24 08:34:25 |
| - (UNREAD) User C start follow your shops ....., 2021-07-18 10:31:12 |
| - (UNREAD) User E start follow your shops ....., 2021-05-23 10:02:21 |
| - (UNREAD) User C and D liked your product ....., 2021-03-28 08:12:24 | <= (Please pay attention)
| - (READ) User C commented on your product ....., 2021-02-19 16:21:43 |
| - (READ) User B liked your product ....., 2020-08-02 05:24:45 |
| - (READ) User B start follow your shops ....., 2020-08-02 05:21:20 |
这是我尝试find interval between 10 minutes
function inRangeBetween(val, min, max) {
if (val >= min && val <= max) {
return true
}
return false
}
var startingPoint = { min: 0, max: 0, type: null },
newData = []
for (var i = 0; i < data.length; i++) {
if (startingPoint.min < 1
&& startingPoint.max < 1
&& startingPoint.type === null) {
console.log('Starting point')
var start = new Date(data[i].created_at)
startingPoint.min = start.getTime()
startingPoint.max = start.getTime() + (10 * 60000)
startingPoint.type = data[i].type
newData[data[i].type] = []
} else {
// startingPoint has values
if (inRangeBetween(new Date(data[i].created_at).getTime(), startingPoint.min, startingPoint.max
&& data[i].type === startingPoint.type) {
console.log(`Pushing new object to key ${data[i].type}`)
newData[data[i].type].push(data[i])
} else {
// Set new values for startingPoint, and start again comparing
console.log('Starting point values changes')
startingPoint.min = new Date(data[i]).getTime()
startingPoint.min = new Date(data[i]).getTime() + (10 * 60000)
startingPoint.type = data[i].type
newData[data[i].type] = []
newData[data[i].type].push(data[i])
}
}
}
// Not working
如何实现? (卡在这个问题上 5 天了)
提前致谢
答案 0 :(得分:2)
试试这个:
var data = [
{ id: 1, type: 'shop.follower', by: { id: 2, name: 'User B', }, in: null, read_at: '2021-01-03 10:15:43', created_at: '2020-08-02 05:21:20' },
{ id: 2, type: 'product.liked', by: { id: 2, name: 'User B' }, in: { id: 1 }, read_at: '2021-01-03 10:15:43', created_at: '2020-08-02 05:24:45' },
{ id: 3, type: 'product.commented', by: { id: 3, name: 'User C' }, in: { id: 1 }, read_at: '2021-02-20 20:01:39', created_at: '2021-02-19 16:21:43' },
{ id: 4, type: 'product.liked', by: { id: 4, name: 'User D' }, in: { id: 1 }, read_at: '2021-01-03 10:15:43', created_at: '2021-03-28 08:11:50' },
{ id: 5, type: 'product.liked', by: { id: 3, name: 'User C' }, in: { id: 1 }, read_at: null, created_at: '2021-03-28 08:12:24' },
{ id: 6, type: 'shop.follower', by: { id: 5, name: 'User E' }, in: null, read_at: null, created_at: '2021-05-23 10:02:21' },
{ id: 7, type: 'shop.follower', by: { id: 3, name: 'User C' }, in: null, read_at: null, created_at: '2021-07-18 10:31:12' },
{ id: 8, type: 'comment.replied', by: { id: 4, name: 'User D' }, in: { id: 6 }, read_at: null, created_at: '2021-07-24 08:34:25' }
]
function sortByDate(array, desc = true) {
if (desc === false) {
// Ascending order
return array.sort((a, b) => {
if (new Date(a.created_at) > new Date(b.created_at)) {
return 1
} else {
return -1
}
return 0
})
}
// Descending order
return array.sort((a, b) => {
if (new Date(a.created_at) < new Date(b.created_at)) {
return 1
} else {
return -1
}
return 0
})
}
function groupByProperties(array, properties) {
return Object.values(array.reduce((acc, object) => {
const key = properties.reduce((acc, property) => {
return acc + (object[property] ? JSON.stringify(object[property]) : '')
}, '')
if (! acc[key]) {
acc[key] = []
}
acc[key].push(object)
return acc
}, {}))
}
function groupByInterval(data, interval) {
var group;
for(var i = 0; i < data.length; i++) {
if(1 < data[i].length) {
var max_date = new Date(data[i][0].created_at);
for(var j = data[i].length - 1; 0 < j; j--) {
var next_date = new Date(data[i][j].created_at)
if(interval < max_date - next_date) {
if(!group) {
group = i + 1;
data.splice(group, 0, [])
}
data[group].splice(0, 0, data[i][j])
data[i].splice(j, 1)
};
};
if(group) {
return groupByInterval(data, interval)
};
}
data[i].sort((a, b) => {
if(!a.read_at) {
return -1
}
if(!b.read_at) {
return 1
}
return 0
})
}
data.sort((a, b) => new Date(b[0].created_at) - new Date(a[0].created_at))
return data
}
sortByDate(data)
//1. Same type
//2. Same in: { id: ... } (Except for type: shop.follower)
data = groupByProperties(data, ['type', 'in'])
//3. If #1 and #2 true, check for similar objects with created_at: ... date gap between 10 minutes
//4. If we have a case like #3 (multiple), if one among it has read_at = null, then it unread notification, then get the latest (newest) date
data = groupByInterval(data, 1000 * 60 * 10) //10min
console.log(data)
groupByProperties()
基于 groupByProperty()
,但接受多个分组属性(类别 1 和类别 2)。它检查属性的值是否为假(例如 null
),如果是,则将其从分组条件中排除。groupByInterval()
根据指定的毫秒间隔(类别 3 和 4)添加到单独的组中。然后它根据 read_at
是否为假对组进行排序,以便具有 read_at == null
的对象首先出现在每个组中。然后它会跨组排序以实现预期结果中的顺序。答案 1 :(得分:1)
sbgib 先生是绝对正确的,但我只是将 sortByDate 函数修改为短一点,如下所示,以减少重复代码,
function sortByDate(array, desc = true) {
return array.sort((a, b) => {
var compare = new Date(a.created_at) < new Date(b.created_at);
return (desc == true) ? ((compare == true) ? 1 : -1) : ((compare == false) ? 1 : -1);
})
}