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PySchemes is a library for validating data structures in python

License: Do What The F*ck You Want To Public License

Python 100.00%

pythonic python schema validation

pyschemes's Issues

General question.

Hi,
I came across pyschemes recently on HN. My question is where would someone use pyschemes? If it is supposed to be used in testing, how is it better than using asserts. Also is there a possibility of using this for type-checking function arguments?

Validating False

What if we want to validate the value False (and other values which evaluate to False, like "" [] and 0)?
As in your example :

>>> def CustomValidator(value):
...    if value == False or value in range(100):
...       return value
...    else:
...       return False
...

Simple Choices Validation error message could be clearer

>>> choices = validators.Any(["choiceA", "choiceB", "choiceC"])

>>> Scheme(choices).validate("choiceA")
'choiceA'

Instead of:


>>> Scheme(choices).validate("hello")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ValueError: value did not pass any validation

This would be clearer


>>> Scheme(choices).validate("hello")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ValueError: value was not one of "choiceA", "choiceB", "choiceC".

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