Update pydantic import to fix b/343572011 in g3

[YuncongZhou]

The commit is a mirror of cl/638491582 by ayzhou@

As indicated in b/343572011, the issue affect all Python SDK FC usage in g3 including the official function calling colab.

The issue is very similar to b/325114802, b/331534434, which are then fixed with cl/619453719.

Description of the change

Update pydantic import to fix b/343572011. It is a mirror of cl/638491582 by ayzhou@

Motivation

b/343572011

Type of change

Bug fix

Checklist

• [ X] I have performed a self-review of my code.
• [ X] I have added detailed comments to my code where applicable.
• [ X] I have verified that my change does not break existing code.
• [ X] My PR is based on the latest changes of the main branch (if unsure, please run git pull --rebase upstream main).
• [X ] I am familiar with the Google Style Guide for the language I have coded in.
• [ X] I have read through the Contributing Guide and signed the Contributor License Agreement.

[MarkDaoust]

Thanks, I'll take a look.

[MarkDaoust]

Interesting.

1. it looks like v1 isn't just a google thing. It's in the OSS installation too:

import pydantic

pydantic.version.VERSION
# 2.7.3
pydantic.v1.version.VERSION
# 1.10.15

So even if you have v2 you get v2 (that's why the tests here are failing)

I think we need a way to get the basics all running in v1 and ... the output is different?

[MarkDaoust]

Added a test workflow to test with pydantic-1.

If we want this to successfully close that bug, we need to get those tests working, or expolicitly choose some acceptable subset of them and tag the others with a skipif
.

[MarkDaoust]

1. It looks like pydantic1 handles the nested TypedDicts differently from pydantic2
2. It looks like nullable is handled differently

[MarkDaoust]

b/342443131

[MarkDaoust]

Sorry about the delay. Fixing this internally.

cl/691199002