[pull] main from apache:main#2520
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pull[bot] merged 10 commits intoboost-entropy-python:mainfrom Jul 3, 2025
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* Add sboms generation into publish-docs workflow * Add sboms generation into publish-docs workflow
…52269) Signed-off-by: Grégoire Bellon-Gervais <gregoire.bellon-gervais@docaposte.fr>
* Added jwt authentication to the TableauHook * Added further unit tests * Adjusted Tableau connection docs * Added mutually exclusive check for auth methods
The SBOM links generated in Airflow docs were using the "stable" version in their links. This was wrong - each of the versioned documentation in "security/sbom" page should link to the exact folder where SBOMS are stored for particular airflow version. This has been fixed in the generated documentation for past versions of airflow already, but this change implements proper link for future documentation generation. Fixes: #51791
…52360) * add pydantic.main.BaseModel serde * fix mypy error * add a test case resolve conflicts in test case * refactor main serde workflow and pydantic serde based on feedback * fix serialize return type when not found * change qualname(BaseModel) to 'pydantic.main.BaseModel' for consistency * remove unused import * precommit fix * refactor all deserializer, and revert some changes to serde * refactor the interface of deserialize, and update unit tests need to overwrite if classname == qualname(datetime.timedelta) and isinstance(data, str | float) since the second argument of isinstance accept a class or tuple resolve conflict * add test, make a few fixes * precommit fix * fix wrong ZoneInfo class in deserializer * update to isinstance(data, str | float) for >3.9 resolve conflict * use type ignore for pydantic, and make numpy serializer compatible to np.bool * precommit fix * revert change to numpy module
We did not pass github_token to download_url when generating SBOM and when generating a lot of parallel sboms it very easily hit rate limits.
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