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Consider adding validators package

See original GitHub issue

Currently a lot of python tools just throw exceptions at us or even uses: .is_valid() and .errors properties. It is not type-safe at all. Sometimes it is hard to explain to people how to really use type-driven design and make invalid states unreachable.

My idea is that we need to write thin wrappers around popular typed validation packages: like pydantic, cerebrus, schema, etc to return really typed things.

We also need to think about API to be expressive and recognisable enough.

Issue Analytics

State:
Created 4 years ago
Reactions:4
Comments:16 (13 by maintainers)

Top GitHub Comments

3reactions

sobolevncommented, Feb 7, 2020

Shame on me! Not validators but parsers!

See https://lexi-lambda.github.io/blog/2019/11/05/parse-don-t-validate/

0reactions

sobolevncommented, Apr 28, 2021

PureScript: https://pursuit.purescript.org/packages/purescript-validation/5.0.0 Kotlin: https://arrow-kt.io/docs/apidocs/arrow-core/arrow.core/-validated/

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