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Update pydantic requirement from <2.0.0,>=1.8.0 to >=1.8.0,<3.0.0 #823

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@dependabot dependabot bot commented on behalf of github Jul 3, 2023

Updates the requirements on pydantic to permit the latest version.

Release notes

Sourced from pydantic's releases.

v2.0 2023-06-30

What's Changed

... (truncated)

Changelog

Sourced from pydantic's changelog.

v2.0 (2023-06-30)

Pydantic V2 is here! 🎉

See this post for more details.

See the full changelog here

v2.0b3 (2023-06-16)

Third beta pre-release of Pydantic V2

See the full changelog here

v2.0b2 (2023-06-03)

Add from_attributes runtime flag to TypeAdapter.validate_python and BaseModel.model_validate.

See the full changelog here

v2.0b1 (2023-06-01)

First beta pre-release of Pydantic V2

See the full changelog here

v2.0a4 (2023-05-05)

Fourth pre-release of Pydantic V2

See the full changelog here

v2.0a3 (2023-04-20)

Third pre-release of Pydantic V2

See the full changelog here

v2.0a2 (2023-04-12)

Second pre-release of Pydantic V2

See the full changelog here

v2.0a1 (2023-04-03)

First pre-release of Pydantic V2!

See this post for more details.

... (truncated)

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> **Note** > Automatic rebases have been disabled on this pull request as it has been open for over 30 days.

Updates the requirements on [pydantic](https://github.com/pydantic/pydantic) to permit the latest version.
- [Release notes](https://github.com/pydantic/pydantic/releases)
- [Changelog](https://github.com/pydantic/pydantic/blob/main/HISTORY.md)
- [Commits](pydantic/pydantic@v1.8...v2.0)

---
updated-dependencies:
- dependency-name: pydantic
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Jul 3, 2023
@ascillitoe ascillitoe self-assigned this Jul 3, 2023
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Assigning to self, as I'll need to update how pydantic is used in the saving tests for this PR.

@jklaise
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jklaise commented Jul 10, 2023

@ascillitoe sounds like this is a major (breaking) version (although I haven't found a good place describing all the new stuff). I suppose for us we would want to upgrade to >=2.0 instead of also allowing an older version (unless we can make the required changes in a way that works with both 1.x and 2.x?). However, if we do that, then need to check how this might interact on e.g. mlserver runtimes with a different pydantic version.

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Yeh it involves some moderate changes, I actually tried to do this today and stopped since realised it was a bigger job than first expected.

Their is a migration tool bump-pydantic, but it didn't work properly when I tried it. To support v2 I'd need to rewrite the validators in saving/validators.py, and a few bits in saving/schemas.py. I'm not 100% sure but don't think we'll be able to rewrite the pydantic stuff to work in v1 and v2, I think we'd have to have separate v1 and v2 pydantic models.

According to this, we have a year to make the jump, so it might be worth leaving this for a while? Some of our deps such as thinc are also still on v1.x so we can't make the move just yet anyway.

@ascillitoe
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p.s. good point about mlserver...

@jesse-c
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jesse-c commented Mar 7, 2024

Superseded by #882. Everything else about needing to do an actual migration still stands, of course!

@MarcBresson
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Hello, thinc now supports pydantic>=1.7.4,!=1.8,!=1.8.1,<3.0.0. What is your roadmap regarding the pydantic version bump? I'm using pydantic~=2.0 and I cannot use your library because of that :( .

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jesse-c commented Mar 18, 2024

Hi @MarcBresson, with #882, you should be able to use Alibi Detect with Pydantic v1 or v2! We haven't done a release yet though. Are you able to use a commit hash or branch to specify the version of Alibi Detect that you use?

@MarcBresson
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Thank you for your quick answer! It worked like a charm with https://github.com/SeldonIO/alibi-detect/archive/master.zip in my requirements file.

Will change it back later when the new version has been released.

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jesse-c commented Mar 18, 2024

@MarcBresson: No worries mate! Thank you too for confirming that that worked.

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5 participants