improve error handling in pydantic validation #597
Merged
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Pydantic 2.5 introduced some changes that lead to issues in case of unions of
MSONable
object anddict
. See for example materialsproject/atomate2#616 and materialsproject/emmet#889.Consider the following code
With pydantic 2.4.2 this gives the output:
while it failes for pydantic 2.5.1:
From what I have seen, the problem is that now pydantic does not simply accept all the exceptions coming from the validation and when
TypeError
is raised it stops entirely, instead of trying with the next type in the union.This PR tries to address the issue by ensuring that a
ValueError
is always returned if a problem arises during the deserialization. Tests has been added that should cover this use case.Note that this does not address issues like: materialsproject/atomate2#607
Pinging a few people that may be interested or can provide feedback on this: @Andrew-S-Rosen @utf @munrojm @janosh