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collapse_exception_group breaks with exceptions that are also frozen dataclasses #2607
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I had never considered the possibility of a frozen exception before. A bunch of the built-in attributes are sort of inherently mutable (including Trio also assigns to I think the only surefire fix here is to either stop using frozen exception types or to freeze them in a way that allows the BaseException magic attributes to still be accessed. (Suggestion: if the attribute being set exists on BaseException, then allow the set to proceed.) Trio might be able to work around this by doing the equivalent of |
I believe attrs itself sets the attributes on init (it has to somehow) via >>> import attrs
>>> @attrs.frozen
... class A:
... x: int
...
>>> a = A(42)
>>> a
A(x=42)
>>> object.__setattr__(a, 'x', 43)
>>> a
A(x=43)
>>> a.x = 43
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\A5rocks\Documents\Temp\venv\lib\site-packages\attr\_make.py", line 617, in _frozen_setattrs
raise FrozenInstanceError()
attr.exceptions.FrozenInstanceError |
Alternatively, we can fix this upstream? IE attrs (if it detects that you're making an exception in auto_exc=True mode, which is the default, and if you're frozen) could allow certain (which?) attributes to be overwritten in I'm surprised it doesn't already have this functionality! I may have missed something in my tests: >>> @attrs.frozen
... class B(Exception):
... pass
...
>>> b = B()
>>> b.__context__ = None
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\A5rocks\Documents\Temp\venv\lib\site-packages\attr\_make.py", line 617, in _frozen_setattrs
raise FrozenInstanceError()
attr.exceptions.FrozenInstanceError
>>> b.args # testing auto_exc
() EDIT: turns out attrs special cases PyPy to allow this! python-attrs/attrs#712 |
It looks like attrs already has the full fix! python-attrs/attrs#1081 -- Jan of this year, so not in a release yet. The original request was for dataclasses, which are harder to fix upstream. I'd be happy to entertain a Trio PR that grabs the descriptors for |
Huh I don't know why my brain went dataclasses -> attrs. Oops!
I assume just calling |
That would work, and it's actually a very common pattern (at least in my experience) when working with frozen dataclasses. In theory, the downside is that it potentially breaks subclassing for anyone that wants to implement their own
So actually, I think this "potential downside" is really a non-issue, since dataclasses explicitly forbids it. So calling Edit: I missed the nuance that we're talking about descriptors here. I wasn't 100% sure if that would still play nicely together, so I tried it out. This worked fine: >>> import dataclasses
>>> @dataclasses.dataclass(frozen=True)
... class TestFrozenException(Exception):
... foo: str
...
>>> instance = TestFrozenException(foo='bar')
>>> instance.__traceback__ = None
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "<string>", line 4, in __setattr__
dataclasses.FrozenInstanceError: cannot assign to field '__traceback__'
>>> object.__setattr__(instance, '__traceback__', None)
>>> instance.__traceback__ That being said, I would be a huge supporter of "fixing it upstream", it's just -- as @oremanj pointed out -- then we're talking about the stdlib. I personally have never contributed to the stdlib, so I have absolutely no idea what the procedure would be there, though -- would I need a PEP? Is this small enough to just write a PR? etc. A quick search through the cpython issues shows that other people have encountered this same problem in other contexts. And I would say that, at least on my end, my most common use case for frozen dataclasses by far is for hashability. However, I very frequently have need for other, non-dataclass-field attributes (that aren't included in the hash) that can be mutated after creation. Caching lookups on things is one example; another is lazy-loading IDs from a database when manipulating API requests (the API request comes off-the-line without the database ID, you do some set/dict manipulations locally, and then you need to upsert the record in the database, returning its ID, which you then store on the instance to avoid needing another database request). And various other bookkeeping objects are also frequent uses, where you need to store some ephemeral in-memory application state (ideally as plain instance attributes) along with some static distributed state (as frozen fields). I use dataclasses extensively both in my dayjob and in personal projects, and probably about 50% of the frozen dataclass classes I create need a workaround -- either through the What I wish there were within dataclasses, were a |
Also, an example use case for why you might want to have frozen dataclass instances for exceptions: at my dayjob we're running... what could be concisely but not 100% accurately described as an ETL job... over customer data. Long story short, we get CSV files with 100s to 1000s (or more, but it's still relatively small-scale) of customer data rows in them. These data rows might have errors. We have two base error classes we use for collecting the file errors -- |
Quick preface:
strict_exception_groups=False
, and enabling strict exception groups fixes the "problem"strict_exception_groups=False
is on the deprecation march, so even if this is considered a problem, it might not be worthwhile to fix itThat being said, in the interests of "more information is always better than less information" and "something something posterity", I thought I'd throw up a quick flag: collapse_exception_group breaks if the exception it's trying to collapse also happens to be a frozen dataclass. When trio tries to set the
__traceback__
attribute, dataclass'__setattr__
magic kicks in, and you get a FrozenInstanceError. Also, since this happens in the middle of nursery exception management, it kinda... blows everything up.Again, for me, the solution was suuuuper simple -- just enable strict exception groups and update the rest of my code to match. Voila, and I get futureproofing free of charge! But it wasn't immediately clear to me that that would be a viable solution, until I poked around some inside the trio codebase. So it might be helpful to document that somewhere (I have no idea where, or I'd just have directly opened up a PR).
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