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chore: migrate Pydantic class-based Config to ConfigDict - #891
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Pydantic v2 deprecated the class-based `Config` (PydanticDeprecatedSince20) and will remove it in Pydantic v3. Replace the three remaining usages in KubernetesBackendConfig, LocalBackendStep and LocalBackendJobs with `model_config = ConfigDict(arbitrary_types_allowed=True)`. No behaviour change: each model keeps arbitrary_types_allowed=True. Signed-off-by: MUKUL PRASAD <mukulprasad958@gmail.com> Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CqSS2VmaiPUMZ8AN2rBwLp
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What this PR does / why we need it:
Pydantic v2 deprecated the class-based
Config(PydanticDeprecatedSince20), and it will be removed in Pydantic v3. This PR migrates the three remaining usages in the package tomodel_config = ConfigDict(...):kubeflow/common/types.py:KubernetesBackendConfigkubeflow/trainer/backends/localprocess/types.py:LocalBackendStep,LocalBackendJobsThere is no behaviour change: each model keeps
arbitrary_types_allowed=True.These warnings are hidden in the test suite by the
filterwarningsentry inpyproject.toml, but users importing the SDK still see them. After this change the package itself no longer emitsPydanticDeprecatedSince20. I left thepyproject.tomlfilter untouched to keep this PR minimal.Testing:
uv run pytest -W error::pydantic.warnings.PydanticDeprecatedSince20 kubeflow/common kubeflow/trainer/backends/localprocess: fails at collection onmain, 37 passed with this changeuv run pytest ./kubeflow/: 697 passeduv lock --check,ruff check,ruff format --check kubeflow,ty check kubeflow/hub(themake verifysteps) andpre-commiton the changed files: all passingWhich issue(s) this PR fixes (optional, in
Fixes #<issue number>, #<issue number>, ...format, will close the issue(s) when PR gets merged):Fixes #890
Checklist:
AI disclosure: Per the Kubeflow AI policy, this change was prepared with AI assistance (Claude Code) and reviewed and tested locally before submission.