Upgrade the project's graphical user interface from PyQt5 to the latest version, PyQt6.
Why we need the feature
PyQt6 offers enhanced performance, additional features, and improved support for the latest Python versions. Upgrading ensures that the application benefits from the latest advancements, maintains compatibility with current technologies, and receives ongoing security updates and bug fixes. Additionally, PyQt6 provides a more modern API, which can lead to cleaner and more efficient code.
How to implement and why
Update Dependencies:
Modify the requirements.txt and requirements.pytorch.txt files to replace PyQt5 with PyQt6.
Ensure that all other dependencies are compatible with PyQt6.
Refactor Codebase:
Update all import statements from PyQt5 to PyQt6.
Address any API changes between PyQt5 and PyQt6, such as renaming modules or classes.
Refactor signal and slot mechanisms if there are any changes in PyQt6.
Testing:
Run the existing test suite to identify any compatibility issues arising from the upgrade.
Perform manual testing of the GUI to ensure all features work as expected.
Fix any bugs or issues that emerge during testing.
Update Documentation:
Revise the README.md and any other relevant documentation to reflect the change from PyQt5 to PyQt6.
Provide guidance on any new setup or installation steps required for PyQt6.
Docker Configuration:
Update Docker-related files (.dockerignore, docker-compose.yaml, etc.) to ensure the Docker environment uses PyQt6.
Verify that the Docker containers build and run correctly with the updated dependencies.
This structured approach ensures that the upgrade is thorough, minimizes disruptions, and leverages the benefits of PyQt6 effectively.
About backward compatibility
PyQt6 introduces several breaking changes compared to PyQt5, which means that backward compatibility is not maintained. As a result, existing code may need significant adjustments to work with PyQt6. It is essential to thoroughly test the application after the upgrade to identify and address any compatibility issues. Additionally, updating documentation and providing clear migration guidelines will help maintain the project's integrity and ease the transition for all contributors.
Resolves #25
What is the feature
Upgrade the project's graphical user interface from PyQt5 to the latest version, PyQt6.
Why we need the feature
PyQt6 offers enhanced performance, additional features, and improved support for the latest Python versions. Upgrading ensures that the application benefits from the latest advancements, maintains compatibility with current technologies, and receives ongoing security updates and bug fixes. Additionally, PyQt6 provides a more modern API, which can lead to cleaner and more efficient code.
How to implement and why
Update Dependencies:
requirements.txtandrequirements.pytorch.txtfiles to replacePyQt5withPyQt6.Refactor Codebase:
PyQt5toPyQt6.Testing:
Update Documentation:
README.mdand any other relevant documentation to reflect the change from PyQt5 to PyQt6.Docker Configuration:
.dockerignore,docker-compose.yaml, etc.) to ensure the Docker environment uses PyQt6.This structured approach ensures that the upgrade is thorough, minimizes disruptions, and leverages the benefits of PyQt6 effectively.
About backward compatibility
PyQt6 introduces several breaking changes compared to PyQt5, which means that backward compatibility is not maintained. As a result, existing code may need significant adjustments to work with PyQt6. It is essential to thoroughly test the application after the upgrade to identify and address any compatibility issues. Additionally, updating documentation and providing clear migration guidelines will help maintain the project's integrity and ease the transition for all contributors.
Test these changes locally