[Python] python mongoening time series collection support

I was looking for a solution for storage and retrieval of time series data.

As I have mongodb set up already in my project, I searched for a solution with mongodb and mongoengine (instead of pymongo).

So I wonder if there a similar solution to this for mongoengine or if there ain't one, how-to develop it.

{
"_id" : ObjectId("60c0d44894c10494260da31e"),
"source" : {sensorId: 123, region: "americas"},
"airPressure" : 99 ,
"windSpeed" : 22,
"temp" : { "degreesF": 39,
"degreesC": 3.8
},
"ts" : ISODate("2021-05-20T10:24:51.303Z")
}

db.createCollection("weather", {
timeseries: {
timeField: "ts",
metaField: "source",
granularity: "minutes"
},
expireAfterSeconds: 9000
});


Sample code is taken from MongoDB's New Time Series Collections in which the solution by pymongo is described but I wanna do it with mongoengine. Is that possible?

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