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🏗 Abstract Base Classes (ABC) in Python

Abstract Base Classes (ABCs) provide a way to define interfaces and enforce a contract for derived classes. They cannot be instantiated directly and often contain abstract methods that must be implemented by subclasses.


🧠 Why use ABCs?

  • Enforce Interfaces: Ensure subclasses implement specific methods.
  • Type Checking: Use isinstance() and issubclass() to check against the abstract base class.
  • Documentation: Clearly define what methods are expected.

🛠 Creating an ABC

Use the abc module. Inherit from ABC and use the @abstractmethod decorator.

from abc import ABC, abstractmethod

class Shape(ABC):
    @abstractmethod
    def area(self):
        pass

    @abstractmethod
    def perimeter(self):
        pass

class Rectangle(Shape):
    def __init__(self, width, height):
        self.width = width
        self.height = height

    def area(self):
        return self.width * self.height

    def perimeter(self):
        return 2 * (self.width + self.height)

# s = Shape() # TypeError: Can't instantiate abstract class Shape
r = Rectangle(5, 10)
print(r.area()) # 50

👻 Virtual Subclasses

You can register a class as a "virtual subclass" of an ABC, even if it doesn't inherit from it. This is useful for checking if a class adheres to a protocol.

from abc import ABC

class MyABC(ABC):
    pass

class MyClass:
    pass

MyABC.register(MyClass)

print(issubclass(MyClass, MyABC)) # True
print(isinstance(MyClass(), MyABC)) # True

🧩 Abstract Properties

You can also define abstract properties.

from abc import ABC, abstractmethod

class Base(ABC):
    @property
    @abstractmethod
    def value(self):
        pass

class Concrete(Base):
    @property
    def value(self):
        return 42

📝 Summary

  • Contract: Defines a blueprint for subclasses.
  • Safety: Prevents instantiation of incomplete classes.
  • Polymorphism: Allows treating different objects uniformly based on their interface.

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