Suggestion: Refactoring Data Deletion Logic to Enhance Maintainability and Debugging

[Mad1232]

Centralizing Data Deletion Logic in TEAMMATES

Summary

Currently, the data deletion logic in TEAMMATES is distributed across multiple parts of the codebase, leading to increased maintenance complexity and potential risks of unintended deletions. This proposal aims to centralize and abstract the deletion logic into a well-defined service or utility class to improve maintainability, debugging efficiency, and code clarity.

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Problem Statement

1. Scattered Deletion Logic: The existing deletion logic is scattered across multiple locations, making it difficult to track and modify when changes are needed.
2. Debugging Challenges: Debugging deletion-related issues is challenging due to a lack of centralized control over when and how deletions are executed.
3. Risk of Unintended Deletions: Unintentional deletions pose a risk of data loss, impacting user experience and data integrity.

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Proposed Solution

To address these problems, we propose the following:

1. Introduce a Centralized Deletion Service:

   • Implement a dedicated DeletionService or DeletionManager class to handle all entity deletions in a structured and consistent manner.
   • Encapsulate all deletion-related operations within this service, ensuring that deletions are only performed through well-defined and traceable methods.

2. Enhance Visibility and Safety:

   • Include logging and safeguards, such as soft deletes and deletion previews, to improve visibility into data removal operations.
   • Provide mechanisms to track when, why, and how deletions are executed.

3. Refactor Existing Code:

   • Update all deletion-related methods to use the new centralized service, reducing code redundancy and improving clarity.

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Expected Benefits

1. Improved Maintainability:

   • Centralizing deletion logic allows changes to be made in a single location, reducing the risk of inconsistencies.

2. Easier Debugging:

   • A unified deletion service simplifies tracing and resolving issues related to data removal.

3. Enhanced Safety:

   • Safeguards such as soft deletes and logging provide greater control over data lifecycle management and help prevent unintentional deletions.

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Implementation Plan

1. Identify Existing Deletion Methods:

   • Audit the codebase to locate all methods and logic related to data deletion.

2. Design the DeletionService Class:

   • Define methods that encapsulate common deletion operations.
   • Ensure methods are intuitive, consistent, and adhere to best practices.

3. Refactor Existing Code:

   • Replace scattered deletion calls with calls to the new service.

4. Implement Logging and Safeguards:

   • Add features such as soft deletes, deletion previews, and detailed logging to track operations.

5. Testing:

   • Conduct thorough testing to ensure correctness, prevent regressions, and validate the safety mechanisms.

6. Community Feedback:

   • Engage with the community to gather feedback on edge cases and potential improvements.

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Next Steps

Before starting implementation, feedback from the maintainers is requested on the following:

1. Preferred Design Patterns:

   • Recommendations for implementing this service in line with TEAMMATES' architecture.

2. Existing Best Practices:

   • Any deletion-related guidelines or conventions that should be followed.

3. Phased Implementation:

   • Suggestions for a phased approach to avoid breaking existing functionalities during the transition.

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I look forward to contributing to the project and improving its maintainability. Please share your thoughts and feedback on this proposal!