Loading Pydantic models from JSON without running out of memory

Re:Loading Pydantic models from JSON without running out of ... by itamarst on Thursday May 22, 2025 @03:10PM (#44065613)

You can't add extra attributes that weren't part of the original dataclass definition:

  >>> from dataclasses import dataclass
  >>> @dataclass
  ... class C: pass
  ... 
  >>> C().x = 1
  >>> @dataclass(slots=True)
  ... class D: pass
  ... 
  >>> D().x = 1
  Traceback (most recent call last):
    File "<python-input-4>", line 1, in <module>
      D().x = 1
      ^^^^^
  AttributeError: 'D' object has no attribute 'x' and no __dict__ for setting new attributes

Most of the time this is not a thing you actually need to do.

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Re:Loading Pydantic models from JSON without running out of ... by masklinn on Thursday May 22, 2025 @04:05PM (#44066271)

Also some of the introspection stops working e.g. vars().

If you're using dataclasses it's less of an issue because dataclasses.asdict.

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Re:Loading Pydantic models from JSON without running out of ... by monomial on Thursday May 22, 2025 @04:36PM (#44066640)

I rarely need to dynamically add attributes myself on dataclasses like this but unfortunately this also means things like `@cached_property` won't work because it can't internally cache the method result anywhere.

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Re:Loading Pydantic models from JSON without running out of ... by franga2000 on Friday May 23, 2025 @02:38AM (#44070478)

IIRC you can just include a __dict__ slot and @cached_property should start working again. I

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