[Python] - 使用函数实现设计模式

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1. 使用函数实现‘策略’模式

from collections import namedtuple

Customer = namedtuple('Customer', 'name fidelity')

class LineItem():
    def __init__(self, product, quantity, price):
        self.product = product
        self.quantity = quantity
        self.price = price
        
    def total(self):
        return self.price * self.quantity
    
class Order(): #上下文
    def __init__(self, customer, cart, promotion=None):
        self.customer = customer
        self.cart = list(cart)
        self.promotion = promotion
        
    def total(self):
        if not hasattr(self, '__total'):
            self.__total = sum(item.total() for item in self.cart)
        return self.__total
    
    def due(self):
        if self.promotion == None:
            discount = 0
        else:
            discount = self.promotion(self)
        return self.total() - discount
    
    def __repr__(self):
        return f'<Customer: {self.customer.name}\n order total: {self.total()}, due: {self.due()}>'
    
def fidelity_promo(order):
    """为积分1000以上的客户提供5%折扣"""
    return order.total() * 0.05 if order.customer.fidelity >= 1000 else 0

def bulk_item_promo(order):
    """单个商品为20个或以上提供10%折扣"""
    discount = 0
    for item in order.cart:
        if item.quantity >= 20:
            discount += item.total() * 0.1
    return discount

def large_order_promo(order):
    """订单中不同商品达到10个或以上时提供7%折扣"""
    distinct_items = {item.product for item in order.cart}
    if len(distinct_items) >= 10:
        return order.total() * 0.07
    return 0

jason = Customer('jason', 1100)
cart = [LineItem('banana', 30, 0.5), LineItem('apple', 10, 1.5)]
print(Order(jason, cart, fidelity_promo))
print(Order(jason, cart, bulk_item_promo))
print(Order(jason, cart, large_order_promo))

2. 选择最佳策略

promos = [globals()[name] for name in globals() if name.endswith('_promo') and name != 'best_promo']

def best_promo(order):  #与其他几个 *_promo函数一样, best_promo 函数的参数也是一个 Order 实例
    """选择可用的最佳折扣"""
    return max(promo(order) for promo in promos)

print(Order(jason, cart, best_promo))   

3. 装饰器基础知识

装饰器是可调用对象,其参数是另一个函数(被装饰的函数)。装饰器可能会处理被装饰的函数,然后把它返回,或者将其替换成另一个函数或可调用对象

示例:

def deco(func):
    def inner():
        print('running inner()')
    return inner

@deco
def target():
    print ('running target()')
    
target()
输出: running inner()

现在我们使用装饰器改进‘策略’模式

promos = []

def promotion(promo_func):
    promos.append(promo_func)
    return promo_func

@promotion
def fidelity(order):
    """为积分1000以上的客户提供5%折扣"""
    return order.total() * 0.05 if order.customer.fidelity >= 1000 else 0
@promotion
def bulk_item(order):
    """单个商品为20个或以上提供10%折扣"""
    discount = 0
    for item in order.cart:
        if item.quantity >= 20:
            discount += item.total() * 0.1
    return discount
@promotion
def large_order(order):
    """订单中不同商品达到10个或以上时提供7%折扣"""
    distinct_items = {item.product for item in order.cart}
    if len(distinct_items) >= 10:
        return order.total() * 0.07
    return 0

def best_promo(order):
    """选择可用的最佳折扣"""
    return max(promo(order) for promo in promos)

这个方案有几个优点:

(1). 促销策略函数无需使用特殊的名称(即不用以_promo结尾) (2). 临时禁用某个促销策略,只需要把装饰器注释掉