Update the project's GUI framework dependency from PyQt5 to the latest version, PyQt6.
Why we need the feature
Upgrading to PyQt6 provides access to the latest features, performance improvements, and security patches. It ensures better compatibility with newer Python versions and other updated dependencies, enhancing the overall stability and functionality of the application.
How to implement and why
Update Dependency Files:
Modify requirements.txt and requirements.pytorch.txt to replace PyQt5 with PyQt6.
Ensure version compatibility with other dependencies to prevent conflicts.
Refactor Codebase:
Review and update all import statements from PyQt5 to PyQt6.
Address any API changes or deprecated methods in PyQt6 by referring to the PyQt6 documentation.
Update Configuration Files:
Check and update any configuration files in the config directory that reference PyQt5-specific settings or paths.
Testing:
Run existing test suites to identify and fix any issues arising from the upgrade.
Implement additional tests if new PyQt6 features are utilized.
Documentation:
Update README.md and any relevant documentation in the doc directory to reflect the change to PyQt6.
Provide migration guidelines for contributors to adapt to the new PyQt6 framework.
Docker Configuration:
Update Docker-related files (docker-compose.yaml, docker-compose.pytorch.yaml, .dockerignore, etc.) to ensure the Docker environment installs and uses PyQt6 correctly.
By following these steps, the project will leverage the advancements in PyQt6, ensuring a modern and efficient GUI framework.
About backward compatibility
Switching from PyQt5 to PyQt6 introduces changes in the API that may not be backward compatible. It is essential to thoroughly test all functionalities to identify and address compatibility issues. While some code adjustments will be necessary, the benefits of upgrading outweigh the transitional efforts, ensuring long-term maintainability and access to the latest features.
Resolves #30
What is the feature
Update the project's GUI framework dependency from PyQt5 to the latest version, PyQt6.
Why we need the feature
Upgrading to PyQt6 provides access to the latest features, performance improvements, and security patches. It ensures better compatibility with newer Python versions and other updated dependencies, enhancing the overall stability and functionality of the application.
How to implement and why
Update Dependency Files:
requirements.txtandrequirements.pytorch.txtto replacePyQt5withPyQt6.Refactor Codebase:
PyQt5toPyQt6.Update Configuration Files:
configdirectory that reference PyQt5-specific settings or paths.Testing:
Documentation:
README.mdand any relevant documentation in thedocdirectory to reflect the change to PyQt6.Docker Configuration:
docker-compose.yaml,docker-compose.pytorch.yaml,.dockerignore, etc.) to ensure the Docker environment installs and uses PyQt6 correctly.By following these steps, the project will leverage the advancements in PyQt6, ensuring a modern and efficient GUI framework.
About backward compatibility
Switching from PyQt5 to PyQt6 introduces changes in the API that may not be backward compatible. It is essential to thoroughly test all functionalities to identify and address compatibility issues. While some code adjustments will be necessary, the benefits of upgrading outweigh the transitional efforts, ensuring long-term maintainability and access to the latest features.
Test these changes locally