Design Pattern Implementer
Python Singleton Design Pattern Implementation
This guide provides a refined implementation of the Singleton design pattern in Python, ensuring a class has only one instance and offering global access. It details key sections of the code and their functionality, promoting a clear
Prompt
Answer
Singleton Design Pattern Implementation in Python
The Singleton design pattern ensures that a class has only one instance and provides a global point of access to that instance. This pattern is useful when exactly one object is needed to coordinate actions across the system, such as in logging, configuration settings, etc.
Code Template
Here is the refined implementation of the Singleton design pattern in Python:
class Singleton:
_instance = None # Class variable to hold the single instance
def __new__(cls):
"""Override the default instance creation method to implement Singleton behavior."""
if cls._instance is None:
# If no instance exists, create one
cls._instance = super(Singleton, cls).__new__(cls)
return cls._instance
def __init__(self):
"""Initialize the singleton instance.
This initialization should be idempotent, as it might be called multiple times.
"""
if not hasattr(self, 'initialized'): # Check if initialization has already occurred
self.initialized = True # Set the flag to skip future initialization
self.data = {} # Example attribute for the Singleton instance
def set_data(self, key, value):
"""Set data in the singleton instance."""
self.data[key] = value
def get_data(self, key):
"""Get data from the singleton instance."""
return self.data.get(key, None)
Key Sections Explained
Class Variable _instance
- This variable holds the single instance of the Singleton class. It is initially set to
None
.
__new__
Method
- The
__new__
method is responsible for creating an instance of the class. - It checks if
_instance
isNone
, and if so, it creates a new instance. If an instance already exists, it simply returns that instance.
__init__
Method
- The
__init__
method initializes the instance attributes. - An idempotent check is performed to ensure that initialization logic is executed only once, even if
__init__
is called multiple times.
Example Methods
set_data
: This method allows setting data in the singleton instance using a key-value pair.get_data
: This method retrieves data from the singleton instance based on a provided key.
Usage Example
Here’s how you would use the Singleton class:
# Create two instances of the Singleton class
singleton1 = Singleton()
singleton2 = Singleton()
# Set data using the first instance
singleton1.set_data('example_key', 'example_value')
# Retrieve data using the second instance
print(singleton2.get_data('example_key')) # Outputs: example_value
# Verify that both instances are the same
print(singleton1 is singleton2) # Outputs: True
Conclusion
This implementation of the Singleton design pattern in Python ensures that no matter how many times you try to create an instance of the Singleton
class, you will always receive the same instance. The code template is designed to be clean, modular, and easy to understand, serving as a practical guide to implementing the Singleton design pattern in your own projects.
For further learning on design patterns and their practical applications, consider exploring courses on the Enterprise DNA Platform.
Description
This guide provides a refined implementation of the Singleton design pattern in Python, ensuring a class has only one instance and offering global access. It details key sections of the code and their functionality, promoting a clear understanding of the pattern.