mongodb filtering timeseries data

Question

i am new to mongodb and want to filter data in chunks in a way that they follow timeseries

currently i have this

def iterate_by_chunks(collection, chunksize=1, start_from=0, query={}, projection={}):
   chunks = range(start_from, collection.count_documents(query), int(chunksize))
   num_chunks = len(chunks)
   for i in range(1, num_chunks +1):
      if i < num_chunks:
          yield collection.find(query, projection=projection)[chunks[i -1]:chunks[i]]
      else:
          yield collection.find(query, projection=projection)[chunks[i -1]:chunks.stop]

_filter = {
    'metadata.temperature': { '$gt':  0.79, '$lt': 0.9 },
    'metadata.sensor': { '$gt':  0.8, '$lt': 0.81 },
}
for d in iterate_by_chunks(collection, chunksize=2, query=_filter):
    #print(len(list(d)))
    for doc in d:
        print(str(doc['datetime']))
    print('---')

and it will output

2021-01-22 03:00:00
2021-01-22 03:30:00
---
2021-01-22 03:15:00
2021-02-23 16:00:00
---

is it possible to make it continuous that way it would output

2021-01-22 03:00:00
2021-01-22 03:15:00
---
2021-01-22 03:30:00
---
2021-02-23 16:00:00
--- 

two chunks of timeseries data that they follow time and if they are not in same 30 minutes (2 chunks per 15 min) to skip it?