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Parse, Don't Validate (2019)

(lexi-lambda.github.io)
389 points melse | 1 comments | 26 Jun 21 07:23 UTC | HN request time: 0.311s | source
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kortex ◴[26 Jun 21 14:15 UTC] No.27642049[source]▶
This principle is how pydantic[0] utterly revolutionized my python development experience. I went from constantly having to test functions in repls, writing tons of validation boilerplate, and still getting TypeErrors and NoneTypeErrors and AttributeErrors left and right to like...just writing code. And it working! Like one time I wrote a few hundred lines of python over the course of a day and then just ran it... and it worked. I just sat there shocked, waiting for the inevitable crash and traceback to dive in and fix something, but it never came. In Python! Incredible.

[0] https://pydantic-docs.helpmanual.io/

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1. ElevenPhonons ◴[26 Jun 21 22:06 UTC] No.27646367[source]▶
I've also found Pydantic to be a valuable library to use.

However, it does have a strongly opinionated approach to casting that can sometimes yield non-obvious results. This behavior is documented and I would suggest new potential adopters of the library to explore this casting/coerce feature in the context of your product/app requirements.

For the most part, it's not an huge issue, but I've run into a few surprising cases. For example, sys.maxint, 0, '-7', 'inf', float('-inf') are all valid datetime formats.

- https://pydantic-docs.helpmanual.io/usage/models/#data-conve... - https://gist.github.com/mpkocher/30569c53dc3552bc5ad73e09b48...