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Update pydantic import to fix b/343572011 in g3 #369

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YuncongZhou
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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.

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

As indicated in b/343572011, the issue affect all Python SDK 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.
@github-actions github-actions bot added status:awaiting review PR awaiting review from a maintainer component:python sdk Issue/PR related to Python SDK labels May 31, 2024
@MarkDaoust
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Thanks, I'll take a look.

@MarkDaoust
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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?

Change-Id: I48f985e409e664ef90a83257f798a5fb6a5ac9c7
Change-Id: I3473afc0e61bb73c3af527927c1a45c475e89219
@MarkDaoust
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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
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  1. It looks like pydantic1 handles the nested TypedDicts differently from pydantic2
  2. It looks like nullable is handled differently

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