Factory Design Pattern and Python

Fun with Factory Design Pattern and Python

In the world of software engineering, design patterns serve as fundamental solutions to recurring problems in software design. These patterns are not tied to any specific programming language but offer universally accepted strategies for creating efficient, maintainable, and scalable code. One such essential pattern is the Factory Design Pattern and Python, categorized under creational patterns, which focuses on separating object creation from its usage.

What is the design pattern/ Software design pattern?

Consider a design pattern as the magic wand that every coder wishes they had, but more akin to a cheat code that is shared among developers globally. It’s like having a secret recipe for solving common problems in software.

When pattern word comes to us what do we think?

When software engineers try to solve a problem, always try to find a pattern that they already used before or try to create a new one. Because it is very important for future uses and others can understand it well. That’s why design pattern comes and there are some patterns that are approved worldwide. These are very much logical things. Not dependent on any programming language.

In software engineering, a design pattern is a known repeatable solution to a commonly occurring problem in software design. A design pattern isn’t a finished design that can be transformed directly into code. It is a description or template for how to solve a problem that can be used in many different situations. (Collected from Source Making)

What is a Factory Design Pattern?

When I use the factory word you may have made a picture of a factory right?

Don’t worry, you are right.

Think about a factory where they produce cars. You don’t know how they do it. But you can order a car from there and you can ride it. This is actually a factory pattern says.

Let’s read about the definition.

The factory design pattern is a design pattern under the creational pattern, which is not exposing the creational logic to the users. This is one of the most used creational patterns by software engineers.

Now let’s make some fun with the factory design pattern.

I think the above bike factory image is enough to understand the whole logic of the factory design pattern.

Specialties of this pattern

  • Separate creation from uses
  • Does not expose the creational logic to users
  • Makes code more robust, less coupled, and easy to implement
  • You can extend without touching the original code.
  • Almost many object creational problems can be solved by this pattern

Now let’s try to draw a UML diagram for the factory pattern.

Now it’s time to implement this pattern using Python code.

Let’s create an Abstract bike class.

from abc import ABC, abstractmethod
class AbstarctBike:
color = ""
def create_chassis(self):
print("Create bike chassis")
def create_engine(self):
print("Create bike engine")
@abstractmethod
def coloring(self):
print("Coloring the bike")

Benefits of The Factory Design Pattern:

1. Detachment of Object Generation from Utilization:

The Factory Design Pattern streamlines code structure by severing the instantiation process from object usage. Because of this division, developers can control object creation in one location, which streamlines and organizes the codebase as a whole. Better code maintenance and readability are thus encouraged because modifications to the creation logic have no effect on the remainder of the application.

2. The Creation Logic Encapsulated:

The code is more scalable and maintainable when the creation logic is contained in the factory class. By using this method, the factory class is able to manage the intricate processes involved in creating new objects, such as configuring them, establishing dependencies, and implementing particular creation rules. By separating these duties, the main application code is able to concentrate on its main purposes, which facilitates debugging and allows for future improvements.

3. Flexibility and Extension:

With the help of the Factory Design Pattern, developers can add new object types without changing the code that already exists. This flexibility is made possible by inheritance and polymorphism, which allow for the creation of new subclasses that can interact with the factory without changing the original classes. The system is highly adaptable to changing needs because of its extensibility, which guarantees that it can change to meet new requirements or incorporate new features with minimal disruption.

4. Resolving Issues with Object Creation:

Creating objects that may need complicated initialization procedures or must follow certain constraints is a common software engineering challenge. The Factory Design Pattern offers a methodical approach to managing object creation, which offers a strong framework for addressing these issues. In situations where objects must be created dynamically depending on input parameters or runtime conditions, this pattern can be especially helpful in making sure the appropriate object is created in the appropriate context.

Conclusion

In software development, the Python Factory Design Pattern is a useful technique for managing object creation. It improves the readability and organization of code by encouraging abstraction and encapsulation. With the help of this pattern, developers can separate the business logic from the instantiation process, producing a codebase that is modular and easy to maintain.

Scalability is aided by the Factory Design Pattern, which permits the addition of new object types without changing the code that already exists. Its extensibility is essential for incorporating new features and responding to changing needs. The pattern streamlines debugging and ensures consistency by centralizing creation logic.

The Factory Design Pattern is flexible for a range of development scenarios, as it provides a methodical approach to object creation that can be applied to both simple and complex objects. Using this pattern enhances code quality, encourages best practices, and streamlines software design.

To sum up, the Python Factory Design Pattern is a strong and practical way to control the creation of objects in software development. It is a vital tool for developers who want to produce high-caliber, scalable, and maintainable applications because of its capacity to enhance code readability, organization, and extensibility. You can create a more organized and effective codebase by using this pattern in your development process, which will help you provide software solutions that are better suited to your users’ and stakeholders’ needs.

 

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MD. RAISUL ISLAM

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