Refactoring Shotgun Surgery Code Smell With Provider
In software development, code smells are indicators of potential problems in the code. They don't necessarily mean the code is wrong or broken, but they suggest that the design might be improved. One common code smell is "Shotgun Surgery," which occurs when a single change requires modifications in many different places in the codebase.
Understanding the Shotgun Surgery Code Smell
Shotgun Surgery is a type of Change Preventer code smell. It manifests when a seemingly simple modification, such as adding a new feature or fixing a bug, necessitates making changes across numerous files and modules. This often indicates that the codebase is tightly coupled, meaning that different parts of the system are highly dependent on each other. This tight coupling can lead to several issues:
- Increased Complexity: Making changes becomes more complex and time-consuming, as developers need to track down and modify multiple files.
- Higher Risk of Errors: With changes scattered across the codebase, there's a greater chance of introducing bugs or inconsistencies.
- Reduced Maintainability: The codebase becomes harder to maintain and evolve, as even small changes can have ripple effects throughout the system.
- Slower Development: The development process slows down as developers spend more time navigating and modifying the code.
Identifying Shotgun Surgery
Several indicators can help identify Shotgun Surgery in a codebase:
- Widespread Changes: If a single change requires modifications in many different files or modules, it's a sign of Shotgun Surgery.
- Prop Drilling: Passing data down through multiple layers of components or functions, often as props in UI frameworks, can indicate tight coupling.
- Callback Hell: Using callbacks to pass data and updates between components can also lead to Shotgun Surgery.
Example of Shotgun Surgery
Consider a scenario where a mobile application needs to display the user's name on multiple screens, such as the home screen, profile page, and settings screen. If the user data is managed in a central location, and each screen needs to fetch and display the name independently, any change to the user data structure or how the name is accessed would require modifications in all these screens. This is a classic example of Shotgun Surgery.
The BeeFit App Case: A Shotgun Surgery Scenario
The BeeFit app, a fitness application, initially suffered from the Shotgun Surgery code smell. The application's architecture led to a tightly coupled codebase, making even minor changes a tedious and error-prone process. A specific example of this issue involved managing user data and workout plans across different screens.
The Problem: Tight Coupling and Prop Drilling
In the original implementation, the user state (_user) was primarily “owned” by the HomeScreen widget. This meant that any other screen requiring access to user information, such as the ProfilePage, had to receive this data through a process known as “prop drilling.” Prop drilling involves passing data down the widget tree through multiple layers of widgets.
This approach had several drawbacks:
- Manual Data Passing: Each intermediate widget had to explicitly pass the user data down to its children, even if it didn't directly use the data itself. This added unnecessary complexity and boilerplate code.
- Callback Hell: When a screen needed to update the user data, it had to use callbacks to pass the updates back up the widget tree to the
HomeScreen. This created a complex web of callbacks, making the code harder to follow and maintain. - Cascading Edits: A seemingly simple change, like adding a new screen that needed the user's name, required modifications in multiple files (
HomeScreen,ProfilePage, and any other screen involved in the data flow).
The Consequences of Shotgun Surgery in BeeFit
The tight coupling and prop drilling in the BeeFit app had several negative consequences:
- Increased Development Time: Making changes took longer because developers had to navigate through multiple files and widgets to ensure data was passed and updated correctly.
- Higher Risk of Bugs: The manual data passing and callbacks increased the likelihood of introducing bugs, as it was easy to make mistakes when modifying the code.
- Reduced Maintainability: The codebase became harder to maintain and extend, as the tight coupling made it difficult to make changes without affecting other parts of the application.
The BeeFit team recognized that this situation was unsustainable and decided to refactor the codebase to address the Shotgun Surgery code smell.
The Solution: Decoupling with Provider
To address the Shotgun Surgery code smell, the BeeFit team implemented a refactoring strategy using the Provider package. Provider is a popular state management solution for Flutter applications that promotes decoupling and simplifies data sharing across the widget tree. This refactoring aimed to centralize the state management and provide a more streamlined way for widgets to access and modify application data.
Key Steps in the Refactoring Process
The refactoring process involved several key steps:
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Centralizing the State: The first step was to centralize the application's state. Instead of having the
HomeScreenown the user data, the team createdChangeNotifierclasses to hold the application's state.ChangeNotifieris a class provided by Flutter that allows widgets to listen for changes and rebuild themselves accordingly.- Two primary
ChangeNotifierclasses were created:UserProvider: Manages the user-related state, such as the user's name, profile information, and authentication status.WorkoutProvider: Manages the workout-related state, such as workout plans, exercise routines, and progress tracking.
- Two primary
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Providing the State: The
ChangeNotifierProviderwidget from the Provider package was used to make the state available to the entire widget tree. This widget takes aChangeNotifierinstance and makes it accessible to all its descendants.- The
MultiProviderwidget was used to provide both theUserProviderandWorkoutProviderat the top of the application's widget tree.
- The
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Accessing the State: Widgets can access the state using the
context.watchandcontext.readmethods provided by the Provider package.context.watch: Used to listen for changes in the state. When the state changes, widgets that usecontext.watchwill rebuild themselves.context.read: Used to access the state without listening for changes. This is typically used to modify the state.
How Provider Solved the Shotgun Surgery Problem
The refactoring to Provider addressed the Shotgun Surgery code smell in several ways:
- Decoupling the UI: By centralizing the state management, the Provider package decoupled the UI components from the data layer. Widgets no longer needed to know where the data came from or how it was being updated.
- Centralized State: The user and workout plan states now reside in
ChangeNotifierclasses (UserProvider,WorkoutProvider) that are accessible throughout the widget tree. This eliminates the need for prop drilling and complex callback mechanisms. - Direct Access to State: Any screen, regardless of its position in the widget tree, can directly read or modify the state using
context.watchandcontext.read. This simplifies data access and manipulation. - Simplified Modifications: To create a new screen that needs access to user data, developers only need to create the new screen file and use
context.watchto access the required data. There is no need to modify theHomeScreenor any other intermediate widget.
Example: Creating a New Screen
Consider the scenario of adding a new screen that displays the user's name. With the Provider implementation, creating this screen is straightforward:
- Create a new widget for the screen.
- Use
context.watch<UserProvider>().user.nameto access the user's name from theUserProvider. - Display the name in the widget.
This approach eliminates the need to pass data down through multiple layers of widgets or set up complex callbacks. The new screen can directly access the data it needs, making the code cleaner and more maintainable.
Benefits of Refactoring with Provider
The refactoring to Provider yielded several significant benefits for the BeeFit app:
- Improved Maintainability: The codebase became easier to maintain and extend, as the decoupling made it easier to make changes without affecting other parts of the application.
- Reduced Complexity: The complexity of the code was reduced, as the centralized state management and simplified data access made the code easier to understand and modify.
- Increased Scalability: The application became more scalable, as the decoupled architecture made it easier to add new features and screens without introducing new dependencies.
- Faster Development: The development process became faster, as developers could make changes more quickly and with less risk of introducing bugs.
- Elimination of Shotgun Surgery: The refactoring successfully eliminated the Shotgun Surgery code smell, making the codebase more resilient to change.
Conclusion: Provider as a Powerful Solution
The refactoring of the BeeFit app demonstrates how Provider can be a powerful solution for addressing the Shotgun Surgery code smell. By centralizing state management and decoupling UI components, Provider simplifies data sharing and modification, making the codebase more maintainable, scalable, and resilient to change. This approach aligns with best practices for modern software development, ensuring that the application can evolve efficiently and effectively.
In conclusion, the successful refactoring of the BeeFit app using Provider highlights the importance of addressing code smells like Shotgun Surgery. By adopting a well-suited state management solution, developers can significantly improve the quality and maintainability of their codebases.
For further reading on state management in Flutter, you might find the official Flutter documentation on Provider helpful: Flutter Provider.