Learning Strategy Using Logical steps and natural way
Introduction
In this article, we'll solve a common coding problem that involves selecting an algorithm at runtime. Our goal is to design a solution that's both flexible and maintainable. We'll develop our solution step by step, ultimately revealing how it aligns with the Strategy Design Pattern.
Problem Statement
Imagine you're developing a payment processing system that needs to support multiple payment methods (e.g., credit card, PayPal, bank transfer). The challenge is to design the system in a way that it can easily accommodate new payment methods in the future without modifying the existing codebase.
Step 1: Define the Payment Methods
We start by defining classes for each payment method.
Step 2: Implementing a Payment Processor
Next, we implement a PaymentProcessor class that uses these payment methods.
Step 3: Refactor for Flexibility
We realize our current design is not flexible. Adding a new payment method requires modifying the PaymentProcessor class. Let's refactor our code to use polymorphism.
Step 4: Using the Refactored Design
We can now set the payment method dynamically without modifying the PaymentProcessor.
Comparing with Strategy Pattern
Our final design closely resembles the Strategy Design Pattern. Let's compare our solution with the UML diagram of the Strategy Pattern.
In our solution, PaymentStrategy is the Strategy interface, CreditCardPayment, and PayPalPayment are concrete strategies, and PaymentProcessor is the context. By separating the strategies from the context, we've achieved a flexible and easily extendable design, which is the essence of the Strategy Pattern.
Conclusion
By solving our payment processing problem step by step, we naturally arrived at a design that mirrors the Strategy Pattern. This approach not only solved our problem but also introduced us to a standard design pattern that enhances code maintainability and flexibility.
Building Stealth AI Startup | Father
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Building Stealth AI Startup | Father
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