This issue tracker has been migrated to GitHub, and is currently read-only.
For more information, see the GitHub FAQs in the Python's Developer Guide.

Author p-ganssle
Recipients belopolsky, gvanrossum, p-ganssle, vstinner
Date 2018-12-07.20:47:00
SpamBayes Score -1.0
Marked as misclassified Yes
Message-id <>
> What's the use case for subclassing DateTime? These classes were not designed with subclassing as a use case in mind.

There are several reasons for doing it, of various levels of legitimacy. The overall theme is that people want different behaviors from their datetime classes and they want to maintain drop-in compatibility with datetime so that you don't need to re-build the whole world of datetime-handling libraries if you want to adopt one of these alternative datetime providers.

Ideally, you would tell people to just write API-compatible code and use duck-typing, but there's a lot of code in the standard library that uses `isinstance` checks, so things like `some_tzinfo.utcoffset(` will raise a TypeError.

Two popular datetime frameworks arrow and pendulum, both use datetime subclasses. A lot of what they are providing is convenience methods that could easily be free functions, but they also need to be subclasses so that they can change things like the semantics of arithmetic. For example, one motivation for the creation of pendulum was that the creator wanted this invariant to hold true:

    assert dt1 == (dt1 - dt2) + dt2

This is basically due to the fact that in Python's datetime library, no distinction is made between "absolute deltas" (the absolute time between two events) and "calendar deltas", which makes subtraction or addition across DST boundaries ambiguous and occasionally lossy. Arithmetic semantics are one of the things about datetime I'd most love to change but for backwards compatibility reasons it's just not feasible.

Another reason I've seen for subclassing datetime is that this is how dateutil provides its backport of PEP 495 (ambiguous datetime support). We have a datetime subclass called _DatetimeWithFold that supports the `fold` attribute, and is generated only when necessary (and does not exist in Python 3.6+). _DatetimeWithFold is not affected by this problem because PEP 495 specifies that the result of an arithmetic operation always sets fold to 0, but it *was* affected by the earlier (now fixed) bug where the subclass did not survive a `replace` operation.

One last place I've seen datetime subclasses used is when you have a thin wrapper used for dispatch or other purposes where you are mapping between types. For example, at work we had to create mappings between python types and the types specified by a standard (developed for another language), but that standard specified both a datetime type (with millisecond precision) and a datetimeus type (with microsecond precision). The solution was a thin wrapper around datetime called DatetimeUs:

Preventing operations from reverting to datetime was a bit of a pain, which is why we have a bunch of tests to check that the subclass survives basic operations:

Although it was not originally *designed* to be subclassed, support for datetime subclasses is already quite good. This timedelta issue is one of the last major issues to fix to make them truly subclass-friendly. I'll note also that for the past 9 years, the test suite has run all datetime tests against a "thin wrapper" subclass of datetime:
Date User Action Args
2018-12-07 20:47:01p-gansslesetrecipients: + p-ganssle, gvanrossum, belopolsky, vstinner
2018-12-07 20:47:01p-gansslesetmessageid: <>
2018-12-07 20:47:01p-gansslelinkissue32417 messages
2018-12-07 20:47:00p-gansslecreate