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59 lines
1.8 KiB
Python
59 lines
1.8 KiB
Python
from datetime import datetime, timedelta
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from django.db.models import Sum
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from django.utils.timezone import now as timezone_now
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from analytics.lib.counts import COUNT_STATS
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from analytics.models import StreamCount
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from zerver.models import Realm
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def get_streams_traffic(stream_ids: set[int], realm: Realm) -> dict[int, int] | None:
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stat = COUNT_STATS["messages_in_stream:is_bot:day"]
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traffic_from = timezone_now() - timedelta(days=28)
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query = StreamCount.objects.filter(
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# The realm_id is important, as it makes this significantly better-indexed
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realm_id=realm.id,
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stream_id__in=stream_ids,
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property=stat.property,
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end_time__gt=traffic_from,
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)
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traffic_list = query.values("stream_id").annotate(sum_value=Sum("value"))
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traffic_dict = {}
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for traffic in traffic_list:
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traffic_dict[traffic["stream_id"]] = traffic["sum_value"]
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return traffic_dict
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def round_to_2_significant_digits(number: int) -> int:
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return int(round(number, 2 - len(str(number))))
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STREAM_TRAFFIC_CALCULATION_MIN_AGE_DAYS = 7
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def get_average_weekly_stream_traffic(
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stream_id: int, stream_date_created: datetime, recent_traffic: dict[int, int]
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) -> int | None:
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try:
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stream_traffic = recent_traffic[stream_id]
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except KeyError:
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stream_traffic = 0
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stream_age = (timezone_now() - stream_date_created).days
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if stream_age >= 28:
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average_weekly_traffic = int(stream_traffic // 4)
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elif stream_age >= STREAM_TRAFFIC_CALCULATION_MIN_AGE_DAYS:
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average_weekly_traffic = int(stream_traffic * 7 // stream_age)
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else:
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return None
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if average_weekly_traffic == 0 and stream_traffic > 0:
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average_weekly_traffic = 1
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return round_to_2_significant_digits(average_weekly_traffic)
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