Skip to content

Consider adding validators package #258

Description

@sobolevn

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.

Related: https://gist.github.com/maksbotan/14b4bebda2acab98cdd158f85a970855
CC @maksbotan

Activity

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Assignees

Labels

enhancementNew feature or requesthelp wantedExtra attention is needed

Type

No type

Projects

No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions