1. Refactoring Strategy

1.1 Classic Strategy

from abc import ABC, abstractmethod
from collections import namedtuple Customer = namedtuple('Customer', 'name fidelity') class LineItem:
def __init__(self, product, quantity, price):
self.product = product # 商品名
self.quantity = quantity # 数量
self.price = price # 单价 def total(self): # 总价
return self.price * self.quantity class Order:
def __init__(self, customer, cart, promotion=None):
self.customer = customer # 用户名
self.cart = list(cart) # 商品列表
self.promotion = promotion # obj
def total(self): # 总价
if not hasattr(self, '__total'):
self.__total = sum(item.total() for item in self.cart)
return self.__total
def due(self): # 折扣价
if self.promotion is None:
discount = 0
else:
discount = self.promotion.discount(self) # **********
return self.total() - discount
def __repr__(self): # 打印
fmt = '<Order total: {:.2f} due: {:.2f}>'
return fmt.format(self.total(), self.due()) class Promotion(ABC): # an abstract base class
@abstractmethod
def discount(self, order): # 返回折扣的总钱数
pass class FidelityPromo(Promotion):
"""5% discount for customers with 1000 or more fidelity points"""
def discount(self, order):
return order.total() * .05 if order.customer.fidelity >= 1000 else 0 class BulkItemPromo(Promotion):
"""10% discount for each LineItem with 20 or more units"""
def discount(self, order):
discount = 0
for item in order.cart:
if item.quantity >= 20:
discount += item.total() * .1
return discount class LargeOrderPromo(Promotion):
"""7% discount for orders with 10 or more distinct items"""
def discount(self, order):
distinct_items = {item.product for item in order.cart}
if len(distinct_items) >= 10:
return order.total() * .07
return 0 joe = Customer('John Doe', 1000)
cart = [LineItem('banana', 4, .5), LineItem('apple', 25, 1.5), LineItem('watermellon', 5, 5.0)]
print(Order(joe, cart, FidelityPromo())) # <Order total: 64.50 due: 61.27>
print(Order(joe, cart, BulkItemPromo())) # <Order total: 64.50 due: 60.75>
print(Order(joe, cart, LargeOrderPromo())) # <Order total: 64.50 due: 64.50>

1.2 Function-Oriented Strategy

  • A flyweight is a shared object that can be used in multiple contexts simultaneously. (享元)
from collections import namedtuple

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

class LineItem:
def __init__(self, product, quantity, price):
self.product = product # 商品名
self.quantity = quantity # 数量
self.price = price # 单价
def total(self): # 总价
return self.price * self.quantity class Order:
def __init__(self, customer, cart, promotion=None):
self.customer = customer # 用户名
self.cart = list(cart) # 商品列表
self.promotion = promotion # obj
def total(self): # 总价
if not hasattr(self, '__total'):
self.__total = sum(item.total() for item in self.cart)
return self.__total
def due(self): # 折扣价
if self.promotion is None:
discount = 0
else:
discount = self.promotion(self) # **********
return self.total() - discount
def __repr__(self): # 打印
fmt = '<Order total: {:.2f} due: {:.2f}>'
return fmt.format(self.total(), self.due()) def fidelity_promo(order): # created just once
"""5% discount for customers with 1000 or more fidelity points"""
return order.total() * .05 if order.customer.fidelity >= 1000 else 0 def bulk_item_promo(order):
"""10% discount for each LineItem with 20 or more units"""
discount = 0
for item in order.cart:
if item.quantity >= 20:
discount += item.total() * .1
return discount def large_order_promo(order):
"""7% discount for orders with 10 or more distinct items"""
distinct_items = {item.product for item in order.cart}
if len(distinct_items) >= 10:
return order.total() * .07
return 0 joe = Customer('John Doe', 1000)
cart = [LineItem('banana', 4, .5), LineItem('apple', 25, 1.5), LineItem('watermellon', 5, 5.0)]
print(Order(joe, cart, fidelity_promo)) # <Order total: 64.50 due: 61.27>
print(Order(joe, cart, bulk_item_promo)) # <Order total: 64.50 due: 60.75>
print(Order(joe, cart, large_order_promo)) # <Order total: 64.50 due: 64.50>

1.3 Choosing the Best Strategy

promos = [fidelity_promo, bulk_item_promo, large_order_promo]
# promos = [globals()[name] for name in globals() if name.endswith('_promo') and name != 'best_promo']
# import inspect
# promos = [func for name, func in inspect.getmembers(promotions, inspect.isfunction)] # promotions为自定模块
def best_promo(order):
"""Select best discount available"""
return max(promo(order) for promo in promos)
promos = []
def promotion(promo_func):
promos.append(promo_func)
return promo_func @promotion
def fidelity_promo(order): # created just once
"""5% discount for customers with 1000 or more fidelity points"""
return order.total() * .05 if order.customer.fidelity >= 1000 else 0 @promotion
def bulk_item_promo(order):
"""10% discount for each LineItem with 20 or more units"""
discount = 0
for item in order.cart:
if item.quantity >= 20:
discount += item.total() * .1
return discount @promotion
def large_order_promo(order):
"""7% discount for orders with 10 or more distinct items"""
distinct_items = {item.product for item in order.cart}
if len(distinct_items) >= 10:
return order.total() * .07
return 0

2. Command

6. Design Patterns with First-Class Functions的更多相关文章

  1. Learning JavaScript Design Patterns The Module Pattern

    The Module Pattern Modules Modules are an integral piece of any robust application's architecture an ...

  2. Design Patterns Example Code (in C++)

    Overview Design patterns are ways to reuse design solutions that other software developers have crea ...

  3. Massive Collection Of Design Patterns, Frameworks, Components, And Language Features For Delphi

    Developer beNative over on GitHub has a project called Concepts which is a massive collection of Del ...

  4. Design Patterns Simplified - Part 3 (Simple Factory)【设计模式简述--第三部分(简单工厂)】

    原文链接:http://www.c-sharpcorner.com/UploadFile/19b1bd/design-patterns-simplified-part3-factory/ Design ...

  5. Design Patterns Simplified - Part 2 (Singleton)【设计模式简述--第二部分(单例模式)】

    原文链接: http://www.c-sharpcorner.com/UploadFile/19b1bd/design-patterns-simplified-part-2-singleton/ De ...

  6. Head First Design Patterns

    From Head First Design Patterns. Design Principle: Idnetify the aspects of your application that var ...

  7. Apex Design Patterns

    Apex allows you to build just about any custom solution on the Force.com platform. But what are the ...

  8. [Design Patterns] 4. Creation Pattern

    设计模式是一套被反复使用.多数人知晓的.经过分类编目的.代码设计经验的总结,使用设计模式的目的是提高代码的可重用性,让代码更容易被他人理解,并保证代码可靠性.它是代码编制真正实现工程化. 四个关键元素 ...

  9. [Design Patterns] 3. Software Pattern Overview

    When you're on the way which is unknown and dangerous, just follow your mind and steer the boat. 软件模 ...

  10. [Design Patterns] 1. Primary concept & term - UML

    It's time to review design patterns, especially when I reach the turning-point of my career. That's ...

随机推荐

  1. linux下jdk环境的搭建

    1.jdk的下载 2.linux centos7.2  64位下的安装和环境变量配置 1.jdk的下载 下载地址:https://www.oracle.com/technetwork/java/jav ...

  2. python-Web-flask-蓝图和单元测试

    4 蓝图和单元测试: 能够使用代码实现蓝图对项目进行模块化 admin=Blueprint('admin',__name__) # 创建一个蓝图对象 @admin.route('/') def adm ...

  3. 【世界之大,我用Python】Ubuntu 自动删除自带软件

    起因 Ubuntu是用来做开发程序的系统,如果存在大量的"垃圾"软件就不好了吧,不仅影响系统性能而且还会经常报错,所以每次安装完系统都会清理一次系统. 操作 我清理系统一般都是直接 ...

  4. 深入理解java虚拟机---读书笔记

    第一章 走近java 1. java 技术体系: java 程序设计语言 各种硬件平台上的java虚拟机 class 文件格式 java API 类库 来自商业机构或者开源机构的第三方java类库 j ...

  5. 冲刺Noip2017模拟赛7 解题报告——五十岚芒果酱

    1.二叉树(binary) .二叉树 (binary.cpp/c/pas) [问题描述] 二叉排序树或者是一棵空树,或者是具有下列性质的二叉树: ()若左子树不空,则左子树上所有结点的值均小于它的根结 ...

  6. TemplateView , ListView ,DetailView三种常用类视图用法

    参考博客: https://blog.csdn.net/weixin_36571185/article/details/74280102

  7. textarea文本域轻松实现高度自适应

    转载:http://www.xuanfengge.com/textarea-on-how-to-achieve-a-high-degree-of-adaptive.html 今天需要些一个回复评论的页 ...

  8. Redis 学习笔记(篇八):事件

    Redis 服务器是一个事件驱动程序,服务器需要处理以下两类事件: 文件事件: Redis 服务器通过套接字与客户端(或者其他 Redis 服务器)进行连接,而文件事件就是服务器对套接字操作的抽象.服 ...

  9. Kafka 原理

    消息队列内部实现原理 两种消息传输方式 Kafka kafka 简介 kafka 集群角色 Kafka 工作流程分析 Kafka 生产过程分析 写入方式 分区(partition) 副本(replic ...

  10. SQLite进阶-19.常用函数

    目录 SQLite常用函数 SQLite常用函数 SQLite 有许多内置函数用于处理字符串或数字数据. 序号 函数 & 描述 1 SQLite COUNT 函数SQLite COUNT 聚集 ...