Best Practices for Code Quality and Documentation

[niveditashankaranarayanan]

As a developer, I need to implement best practices for the codebase, So that the project maintains high code quality, readability, and maintainability.

Details and Assumptions:

• The code should follow PEP8 standards for Python to ensure consistency.
• Appropriate comments and documentation should be added to describe the functionality and reasoning behind complex code blocks.
• All API responses should be standardized in terms of format and error handling, including return codes and error messages.
• Logging should be included where necessary, with different log levels (INFO, WARNING, ERROR) used correctly for appropriate events.
• The project’s README file should be up-to-date, containing instructions on how to set up, test, and use the application.
• Tests should be written for all core functionalities, covering both happy paths and sad paths.

Acceptance Criteria

Given a well-maintained codebase,
When the code is reviewed,
Then it should meet the PEP8 standards, contain proper documentation and comments, have clear and standardized error messages, and include logging.

Given a developer or new contributor,
When they read the README file,
Then they should understand how to set up, test, and use the application based on the provided documentation.

[niveditashankaranarayanan]

As per the professor's suggestion, instead of closing the story, I’ve updated the title, so that we can utilize it in the future if we need to create new stories.