Migrate Nextpy to Pydantic v2 for Enhanced Performance and Compatibility

[anubrag]

It's time to upgrade Nextpy to Pydantic v2. This migration is crucial to leverage the latest performance improvements and ensure compatibility with other libraries that are also moving to Pydantic v2.

Expected Benefits

• Performance Improvements: Pydantic v2 comes with significant enhancements in performance, which can positively impact the overall efficiency of Nextpy.
• Better Compatibility: Keeping up with the latest version ensures that Nextpy remains compatible with other tools and libraries in the ecosystem that rely on Pydantic.
• Access to New Features: Pydantic v2 introduces new features and improvements, which can be beneficial for future development and feature enhancements in Nextpy.

Potential Challenges & Blockers

• Dependencies on Other Libraries: Some dependencies like sqlmodel might have compatibility issues that need to be addressed.
• Internal API Changes: Pydantic v2 has made changes to some of its internal APIs (e.g., ModelField no longer exists). We need to find suitable alternatives or workarounds for these changes.

Call for Contributions

We invite contributors to join in on this upgrade process. Whether you have experience with Pydantic internals or are new to it, your input and help would be valuable.

• If you have experience with Pydantic v2 or its internals, your guidance can help overcome specific challenges.
• For those who are new, this could be a great learning opportunity and a way to contribute significantly to the Nextpy project.

Progress Tracking

• Assess the impact of migration on existing codebase
• Identify and resolve dependencies issues with sqlmodel
• Update the Nextpy codebase to adapt to Pydantic v2 API changes
• Thorough testing to ensure stability post-migration
• Update documentation to reflect changes

Collaboration and Updates

• For ongoing discussions, please refer to this thread.
• Contributors working on related tasks are encouraged to share updates and findings here.
• Any significant breakthroughs or challenges can be discussed in follow-up comments.

Conclusion

Migrating to Pydantic v2 is an important step for the future of Nextpy. It ensures that our framework stays up-to-date with the latest advancements and continues to integrate smoothly within the broader Python ecosystem.