使用示例:工厂方法模式在 Python 代码中得到了广泛使用。 当你需要在代码中提供高层次的灵活性时, 该模式会非常实用。
识别方法:工厂方法可通过构建方法来识别, 它会创建具体类的对象, 但以抽象类型或接口的形式返回这些对象。
01概念示例
本例说明了工厂方法设计模式的结构并重点回答了下面的问题:
- 它由哪些类组成?
- 这些类扮演了哪些角色?
- 模式中的各个元素会以何种方式相互关联?
概念示例
from __future__ import annotations from abc import ABC, abstractmethod class Creator(ABC): """ The Creator class declares the factory method that is supposed to return an object of a Product class. The Creator's subclasses usually provide the implementation of this method. """ @abstractmethod def factory_method(self): """ Note that the Creator may also provide some default implementation of the factory method. """ pass def some_operation(self) -> str: """ Also note that, despite its name, the Creator's primary responsibility is not creating products. Usually, it contains some core business logic that relies on Product objects, returned by the factory method. Subclasses can indirectly change that business logic by overriding the factory method and returning a different type of product from it. """ #Call the factory method to create a Product object. product = self.factory_method() #Now, use the product. result = f"Creator: The same creator's code has just worked with {product.operation()}" return result """ Concrete Creators override the factory method in order to change the resulting product's type. """ class ConcreteCreator1(Creator): """ Note that the signature of the method still uses the abstract product type, even though the concrete product is actually returned from the method. This way the Creator can stay independent of concrete product classes. """ def factory_method(self) -> Product: return ConcreteProduct1() class ConcreteCreator2(Creator): def factory_method(self) -> Product: return ConcreteProduct2() class Product(ABC): """ The Product interface declares the operations that all concrete products must implement. """ @abstractmethod def operation(self) -> str: pass """ Concrete Products provide various implementations of the Product interface. """ class ConcreteProduct1(Product): def operation(self) -> str: return "{Result of the ConcreteProduct1}" class ConcreteProduct2(Product): def operation(self) -> str: return "{Result of the ConcreteProduct2}" def client_code(creator: Creator) -> None: """ The client code works with an instance of a concrete creator, albeit through its base interface. As long as the client keeps working with the creator via the base interface, you can pass it any creator's subclass. """ print(f"Client: I'm not aware of the creator's class, but it still works.\n" f"{creator.some_operation()}", end="") if __name__ == "__main__": print("App: Launched with the ConcreteCreator1.") client_code(ConcreteCreator1()) print("\n") print("App: Launched with the ConcreteCreator2.") client_code(ConcreteCreator2())
执行结果
App: Launched with the ConcreteCreator1. Client: I'm not aware of the creator's class, but it still works. Creator: The same creator's code has just worked with {Result of the ConcreteProduct1} App: Launched with the ConcreteCreator2. Client: I'm not aware of the creator's class, but it still works. Creator: The same creator's code has just worked with {Result of the ConcreteProduct2}