Upgrade to pydantic v2

[Adam Powers]

Pydantic released a v2 in June 2023. I'd prefer to use the newer APIs, but gqlalchemy uses v1 which is a dependency conflict.

Any plans for gqlalchemy to upgrade to pydantic v2?

[Katarina Supe]

Hi @apowers313, thank you for reporting this. We did not have such plans, but I will add this issue to Milestone 1.5 to potentially include it there. Is that a blocker for you, or just nice to have?

[Alex]

@katarinasupe
Hi, we are also looking forward to migrating our codebase to pydantic V2, because of all the new features and improvements. But we are waiting for all the other libs we use to do the transition as well.
Do you have maybe a timeframe for this?

[Adam Powers]

FYI, it seems like the easiest upgrade path might be to upgrade to Pydantic v2 and then import the v1 APIs as mentioned in the migration guide.

[Ante Javor]

Hi, @apowers313 and @alex-linx, @katarinasupe is currently on AL, but once she returns next week, we will get back to you on this issue.

@apowers313 Thanks for the tip, we will look into it.

[Rahul V Ramesh]

hi, we are having same issue. even for simple connection it throws error

[Adam Powers]

I would recommend downgrading to pydantic v1 (e.g. pip install "pydantic>=1.0.0") or using pymgclient as a work around.

[Rahul V Ramesh]

thanks @apowers313 pymg directly

[Chris Goddard]

+1 for me on v2 support - as @apowers313 noted you can use v2 and import the v1 apis to make the migration simpler

[Rahul V Ramesh]

does changing the import with v1. will work ?

[Katarina Supe]

@apowers313 @alex-linx @rahulvramesh @chrisgoddard thank you for jumping in on this issue. We will work on the release at the end of the next week and try to include this dependency bump. Stay tuned :)