Mongodb 在MogoDB中按时间间隔分组、统计文档和获取间隔时间

我在MongoDB中有一个集合，其文档 struct 如下:

    _id:6591f2fe8424cddac5b1d4aa
    captureTime:1704063737
    deviceId:200220
    sensorId:1431

我在Aggregate Group阶段有这个代码，它以1小时为间隔计算文档数量 组别:

{
"_id": {
  "sensorId":"$sensorId",
  "year": { "$year": { "$toDate": { "$multiply": ["$captureTime", 1000] } } },
  "month": { "$month": { "$toDate": { "$multiply": ["$captureTime", 1000] } } },
  "day": { "$dayOfMonth": { "$toDate": { "$multiply": ["$captureTime", 1000] } } },
  "hour": { "$hour": { "$toDate": { "$multiply": ["$captureTime", 1000] } } },
  "interval": {
      "$subtract": [
        {"$minute": { "$toDate": { "$multiply": ["$captureTime", 1000] } }},
        {"$mod": [{"$minute": { "$toDate": { "$multiply": ["$captureTime", 1000] } }}, 60]}
      ]
    }
},
"count": { "$sum": 1 },
"time_f": { "$first": { "$dateToString": {
  "format": "%Y:%m:%d %H:%M:%S", 
  "date": { "$toDate": { "$multiply": ["$captureTime", 1000] } } }}},
"time_l": { "$last": { "$dateToString": {
  "format": "%Y:%m:%d %H:%M:%S", 
  "date": { "$toDate": { "$multiply": ["$captureTime", 1000] } } }}},
"device_Id_f": {"$first": "$deviceId"},
"sensor_Id_f": {"$first": "$sensorId"},



}

输出文档如下

_id: Object
count: 336
time_f: "2024:01:01 00:00:20"
time_l: "2024:01:01 00:58:35"
device_Id_f: 200220
sensor_Id_f: 1431

_id: Object
count: 18
time_f: "2024:01:01 01:00:17"
time_l: "2024:01:01 01:56:18"
device_Id_f: 200220
sensor_Id_f: 1431
time_interval: "2024:01:01 02:00:00"

然而，在输出文件中，我想知道它所属的间隔.例如，如下所示:

_id: Object
count: 336
time_f: "2024:01:01 00:00:20"
time_l: "2024:01:01 00:58:35"
device_Id_f: 200220
sensor_Id_f: 1431
time_interval: "2024:01:01 01:00:00"

_id: Object
count: 18
time_f: "2024:01:01 01:00:17"
time_l: "2024:01:01 01:56:18"
device_Id_f: 200220
sensor_Id_f: 1431
time_interval: "2024:01:01 02:00:00"

我知道这是我可以在我的应用程序中通过python来做的事情，但我认为如果我可以在MongoDB中做这件事，那会更好.