v6e 0.1.1

A powerful validations framework

🔍 V6E

A simple, type-safe, and extensible Python validations framework

Why the name?

v6e comes from the numeronym of "validate".

Examples

Check out the examples in ./examples! You can run them locally with:

uv run examples/validations.py

Usage

First, you'll need to import the validations module:

from term import validations as v

Basic validations

my_validation = v.Range(18, 21)

# .test(...)
my_validation.test(18)  # True
my_validation.test(21)  # True
my_validation.test(54)  # False

# .validate(...)
my_validation.validate(21)  # Nothing happens -> continue to next line
my_validation.validate(54)  # Raises a ValidationException()

AND and OR validations

my_validation = (v.StartsWith("foo") | v.EndsWith("foo")) & v.ReMatch(r"^[a-z]*$")
my_validation.test("foo12")  # True
my_validation.test("12foo")  # True
my_validation.test("1foo2")  # False

Custom validations

def is_div_three(x: int):
    if x % 3 != 0:
        raise ValueError("Woops! The Earth is 4.543 billion years old. (Try 4543000000)")

my_validation = v.Custom(validate_earth_age)
my_validation.test(3)  # True
my_validation.test(6)  # True
my_validation.test(4)  # False

🐍 Type-checking

This library is fully type-checked. This means that all types will be correctly inferred from the arguments you pass in.

In this example your editor will correctly infer the type:

my_validation = v.StartsWith("foo") | v.Range(1, 4)
reveal_type(hours)  # Type of "res" is "timedelta | str | int"

In some cases, like prompting, the type will also indicate how to validate and parse the passed argument. For example, the following code will validate that the passed input is a valid number:

age = term.prompt("What's your age?", klass=int)

Why do I care?

Type checking will help you catch issues way earlier in the development cycle. It will also provide nice autocomplete features in your editor that will make you faster ⚡.