anyvalue 0.1.0

A better ANY helper for Python testing

AnyValue

A better ANY helper for Python testing

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Documentation: https://frankie567.github.io/anyvalue/

Source Code: https://github.com/frankie567/anyvalue

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QuickStart

A smarter alternative to unittest.mock.ANY that allows type checking and validation constraints.

Installation

pip install anyvalue

uv add anyvalue

Basic Usage

from anyvalue import AnyValue
from annotated_types import Ge, Le, Len, Predicate
from datetime import datetime
from unittest.mock import Mock

# Basic type matching
assert 42 == AnyValue(int)
assert "hello" == AnyValue(str)
assert datetime.now() == AnyValue(datetime)

# Multiple types with union operator
assert 42 == AnyValue(int | float)
assert "test" == AnyValue(str | bytes)

# None support
assert None == AnyValue(None)
assert None == AnyValue(str | None)
assert 42 == AnyValue(int | None)

# Validation constraints
assert 42 == AnyValue(int, Ge(0))  # Non-negative integer
assert "hello" == AnyValue(str, Len(5, 5))  # String of length 5
assert 99 == AnyValue(int, Ge(0), Le(100))  # Integer between 0 and 100

# Predicate validators
is_even = Predicate(lambda x: x % 2 == 0)
assert 42 == AnyValue(int, is_even)

# Custom callable validators
def is_palindrome(s: str) -> bool:
    return s == s[::-1]

assert "racecar" == AnyValue(str, is_palindrome)

# Integration with unittest.mock
mock_func = Mock()
mock_func(42, "test", datetime.now())

# Verify calls with flexible matching
mock_func.assert_called_once_with(
    AnyValue(int, Ge(0)),
    AnyValue(str, Len(4, 10)),
    AnyValue(datetime)
)

Key Features

• Type checking: Accept specific types or union of types
• None support: Explicitly allow or disallow None values
• Validation constraints: Use annotated-types for advanced validation (length, ranges, patterns, etc.)
• Mock integration: Works seamlessly with unittest.mock for validating call arguments

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Development

Setup environment

We use uv to manage the development environment and production build, and just to manage command shortcuts. Ensure they are installed on your system.

Run unit tests

You can run all the tests with:

just test

Format the code

Execute the following command to apply linting and check typing:

just lint

Publish a new version

You can bump the version, create a commit and associated tag with one command:

just version patch

just version minor

just version major

Your default Git text editor will open so you can add information about the release.

When you push the tag on GitHub, the workflow will automatically publish it on PyPi and a GitHub release will be created as draft.

Serve the documentation

You can serve the Mkdocs documentation with:

just docs-serve

It'll automatically watch for changes in your code.

License

This project is licensed under the terms of the MIT license.