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Description
1. Enhance Documentation
- README.md:
- More detailed usage examples: Provide various workflow examples (e.g., different
report-filesconfigurations, using wildcards instudent-files). - Troubleshooting: Add a section for common issues and how to resolve them.
- Contribution guidelines: Encourage community contributions by explaining how to contribute code, bug reports, or feature requests.
- Security best practices: Mention how you handle sensitive data (API keys) and any security measures you've implemented.
- Badges: Add badges for code quality (e.g., from CodeFactor), test coverage (e.g., from Codecov), and license.
- More detailed usage examples: Provide various workflow examples (e.g., different
- Action Metadata (action.yml):
- Improve descriptions: Make the descriptions of inputs and outputs more informative and user-friendly.
2. Improve Code Quality
- Error Handling:
- In
entrypoint.py,get_path_tuplecould provide more informative error messages when no valid paths are found. Consider using custom exceptions for specific error cases. - In
ai_tutor.py,ask_geminicould raise exceptions instead of just logging errors, allowing for more robust error handling in calling functions.
- In
- Logging:
- Use different log levels (e.g.,
debug,warning,error) more effectively to provide useful information. - Consider using a logging framework like
structlogfor more structured and informative logs.
- Use different log levels (e.g.,
- Type Hints:
- Add type hints to function arguments and return values for better code readability and maintainability.
- Code Style:
- Use a code linter (e.g.,
flake8,pylint) to enforce consistent code style and identify potential issues.
- Use a code linter (e.g.,
3. Enhance Functionality
- Input Validation:
- Add validation for input values (e.g., check if
report-filesare valid JSON files, validate the format ofstudent-files).
- Add validation for input values (e.g., check if
- Flexibility:
- Consider adding an option to specify the model to use (e.g., allow users to choose between different Gemini versions).
- Allow users to customize the prompt or provide their own template.
- Output Options:
- Provide different output formats (e.g., markdown, plain text).
- International Support 1febde8
4. Testing
- Unit Tests:
- Add unit tests for the functions in
ai_tutor.pyandentrypoint.py.
- Add unit tests for the functions in
- Integration Tests:
- Create integration tests that run the action in a realistic environment (e.g., using
act).
- Create integration tests that run the action in a realistic environment (e.g., using
5. Publishing
- Versioning:
- Use semantic versioning (e.g., v1.0.0) to indicate changes in your action.
- GitHub Marketplace:
- Publish your action on the GitHub Marketplace for better discoverability.
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