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34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
from datetime import datetime, timedelta
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from analytics.lib.counts import CountStat
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from zerver.lib.timestamp import floor_to_day, floor_to_hour, verify_UTC
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# If min_length is None, returns end_times from ceiling(start) to floor(end), inclusive.
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# If min_length is greater than 0, pads the list to the left.
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# So informally, time_range(Sep 20, Sep 22, day, None) returns [Sep 20, Sep 21, Sep 22],
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# and time_range(Sep 20, Sep 22, day, 5) returns [Sep 18, Sep 19, Sep 20, Sep 21, Sep 22]
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def time_range(
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start: datetime, end: datetime, frequency: str, min_length: int | None
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) -> list[datetime]:
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verify_UTC(start)
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verify_UTC(end)
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if frequency == CountStat.HOUR:
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end = floor_to_hour(end)
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step = timedelta(hours=1)
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elif frequency == CountStat.DAY:
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end = floor_to_day(end)
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step = timedelta(days=1)
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else:
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raise AssertionError(f"Unknown frequency: {frequency}")
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times = []
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if min_length is not None:
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start = min(start, end - (min_length - 1) * step)
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current = end
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while current >= start:
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times.append(current)
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current -= step
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times.reverse()
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return times
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