按日期分组以获取一天、过去 7 天和一个月的点击计数

Question

[{'_id': '5ebe39e41e1729d90de',
'modelId': '5ebe3536c289711579',
'lastAt': datetime.datetime(2020, 5, 15, 6, 42, 44, 79000),
'proId': '5ebe3536c2897115793dccfb',
'genId': '5ebe355ac2897115793dcd04'},
{'_id': '5ebe3a0d94fcb800fa474310', 
'modelId': '5ebe3536c289711579',
'proId': '5ebe3536c2897115793d', 
'genId': '5ebe355ac2897115793',
'lastAt': datetime.datetime(2020, 5, 15, 6, 43, 25, 105000)}]

我想计算一天、过去 7 天和一个月的点击次数。由于模型相同，因此我希望基于lastAt的modelId计数。

我尝试了聚合、组函数。

Answer 1

这是纯粹的 Mongo 方法，请尝试以下代码：

收集：

[
{
"_id": "5ebe39e41e1729d90de",
"modelId": "5ebe3536c289711579",
"lastAt": ISODate("2020-05-13T06:42:44.000Z"),
"proId": "5ebe3536c2897115793dccfb",
"genId": "5ebe355ac2897115793dcd04"
},
{
"_id": "5ebe3a0d94fcb800fa474310",
"modelId": "5ebe3536c289711579",
"proId": "5ebe3536c2897115793d",
"genId": "5ebe355ac2897115793",
"lastAt": ISODate("2020-05-15T12:42:25.000Z")
},
{
"_id": "5ebe3a0d94474310",
"modelId": "5ebe3536c289711579",
"proId": "5ebe3536c2897115793d",
"genId": "5ebe355ac2897115793",
"lastAt": ISODate("2020-04-19T06:42:25.000Z")
}
]

查询：

var now = new Date()
var day1 = new Date(now - (1000 * 60 * 60 * 24 * 1))
var day7 = new Date(now - (1000 * 60 * 60 * 24 * 7))
var day30 = new Date(now - (1000 * 60 * 60 * 24 * 30))
db.test7.aggregate([
{
$group: {
_id: null,
day: {
$sum: {
$cond:[{$and: [{$gt: ['$lastAt', day1]},{$lte: ['$lastAt', now]}]}, 1, 0]
}
},
day7: {
$sum: {
$cond:[{$and: [{$gt: ['$lastAt', day7]},{$lte: ['$lastAt', day1]}]}, 1, 0]
}
},
day30: {
$sum: {
$cond:[{$and: [{$gt: ['$lastAt', day30]},{$lte: ['$lastAt', day7]}]}, 1, 0]
}
}
}
},
{
$project: {
_id:0
}
}
])

输出：

{ "day" : 1, "day7" : 1, "day30" : 1 }

注意：您可以轻松地转换为PyMongo语句，如果您遇到困难，请告诉我。