abstractcp

What it is and what it does

AbstractCP provides a way to define abstract class properties—class-level configuration that subclasses must explicitly set—with support for Python's type hints and static type checkers like mypy. You inherit from the `Abstract` base class and mark required class properties using `abstract_class_property(type)`, which enforces that concrete subclasses provide a value and raises a `TypeError` if they don't. This solves a gap in Python's standard `abc` module, which has no built-in mechanism for abstract class variables.

The package is designed to be lightweight and Pythonic: it does all validation at class definition time (no runtime overhead), integrates cleanly with type hints, and produces clear error messages when a subclass forgets to define a required property. It supports multi-level inheritance—an abstract class can have abstract children—and works with Python 3.8 and higher.

Use it for

• Define a base parser class with an abstract PATTERN property that each parser subclass must set before use.
• Create a base array/tensor class that requires subclasses to declare their DIMENSIONS as a class constant.
• Enforce that configuration subclasses define required settings (e.g., API endpoint, database URL) at class definition time.
• Build plugin systems where each plugin subclass must declare its name, version, or handler type.
• Ensure type-safe class hierarchies where mypy validates that abstract properties are satisfied before instantiation.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Install

abstractcp on PyPI

Before you install

Low install friction; pure Python wheel with no runtime dependencies. Maintenance is aging—last release was 2024-05-20 and last commit 2026-01-04, with minimal repository activity (9 stars), but no active issues reported.

Requires Python 3.8 or higher; abstract properties must be defined in classes that inherit directly from acp.Abstract.

License in practice

MIT license permits commercial and private use with minimal restrictions; you may use, modify, and distribute freely provided you include the license notice.

Quickstart

pip install abstractcp

import abstractcp as acp

class Parser(acp.Abstract):
    PATTERN: str = acp.abstract_class_property(str)

class MyParser(Parser):
    PATTERN = r"my_pattern"

# Attempting to instantiate Parser directly or a subclass without PATTERN raises TypeError

Package facts

Evidence: abstractcp-1.0.0-py3-none-any.whl

Tags

More Software Development packages

See also docstring-inheritance · python-interface · flake8-class-attributes-order · xarray-dataclass · async-property · resolvelib · type-enforced · property-manager · useful-types