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Mastering Python Design Patterns

You're reading from   Mastering Python Design Patterns Start learning Python programming to a better standard by mastering the art of Python design patterns

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783989324
Length 212 pages
Edition 1st Edition
Languages
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Author (1):
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Sakis Kasampalis Sakis Kasampalis
Author Profile Icon Sakis Kasampalis
Sakis Kasampalis
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Toc

Table of Contents (18) Chapters Close

Preface 1. The Factory Pattern 2. The Builder Pattern FREE CHAPTER 3. The Prototype Pattern 4. The Adapter Pattern 5. The Decorator Pattern 6. The Facade Pattern 7. The Flyweight Pattern 8. The Model-View-Controller Pattern 9. The Proxy Pattern 10. The Chain of Responsibility Pattern 11. The Command Pattern 12. The Interpreter Pattern 13. The Observer Pattern 14. The State Pattern 15. The Strategy Pattern 16. The Template Pattern Index

Implementation


To demonstrate the Proxy pattern, we will implement a simple protection proxy to view and add users. The service provides two options:

  • Viewing the list of users: This operation does not require special privileges

  • Adding a new user: This operation requires the client to provide a special secret message

The SensitiveInfo class contains the information that we want to protect. The users variable is the list of existing users. The read() method prints the list of the users. The add() method adds a new user to the list. Let's consider the following code:

class SensitiveInfo:
    def __init__(self):
        self.users = ['nick', 'tom', 'ben', 'mike']

    def read(self): 
        print('There are {} users: {}'.format(len(self.users), ' '.join(self.users)))

    def add(self, user):
        self.users.append(user)
        print('Added user {}'.format(user))

The Info class is a protection proxy of SensitiveInfo. The secret variable is the message required to be known/provided by the...

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