[v3-3-test] Pin providers in constraints to the versions published in PyPI (#71324) - #71340
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* Pin providers in constraints to the versions published in PyPI Constraints cut for a release candidate had to land on the wave being voted on, whose providers exist in PyPI only as rc versions. Asking uv for a pre-release strategy left it free to answer with any version satisfying the lower bounds, so the pins were neither the candidate nor the last release, and what a candidate shipped depended on how the resolution happened to go. Retrieving the versions from PyPI and naming them leaves nothing to resolve: the constraints pin what is actually published. A pre-release is only ever considered when the run allows it, and even then it has to sort above every final release, so a provider without a candidate in the wave keeps its release and a released constraints file can never carry an rc pin. A candidate is exempt from the downgrade check - it sorts below the releases the constraints branch already carries, so the comparison says nothing there. Re-running the workflow for the same candidate now replaces that candidate's branch and tag instead of pushing onto them, so the two always describe the run that produced them and a wave can be re-cut. * fixup! Pin providers in constraints to the versions published in PyPI * fixup! Pin providers in constraints to the versions published in PyPI * fixup! Pin providers in constraints to the versions published in PyPI * fixup! Pin providers in constraints to the versions published in PyPI * fixup! Pin providers in constraints to the versions published in PyPI (cherry picked from commit f9b72d8)
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…e#71324) (apache#71340) * Pin providers in constraints to the versions published in PyPI Constraints cut for a release candidate had to land on the wave being voted on, whose providers exist in PyPI only as rc versions. Asking uv for a pre-release strategy left it free to answer with any version satisfying the lower bounds, so the pins were neither the candidate nor the last release, and what a candidate shipped depended on how the resolution happened to go. Retrieving the versions from PyPI and naming them leaves nothing to resolve: the constraints pin what is actually published. A pre-release is only ever considered when the run allows it, and even then it has to sort above every final release, so a provider without a candidate in the wave keeps its release and a released constraints file can never carry an rc pin. A candidate is exempt from the downgrade check - it sorts below the releases the constraints branch already carries, so the comparison says nothing there. Re-running the workflow for the same candidate now replaces that candidate's branch and tag instead of pushing onto them, so the two always describe the run that produced them and a wave can be re-cut. * fixup! Pin providers in constraints to the versions published in PyPI * fixup! Pin providers in constraints to the versions published in PyPI * fixup! Pin providers in constraints to the versions published in PyPI * fixup! Pin providers in constraints to the versions published in PyPI * fixup! Pin providers in constraints to the versions published in PyPI (cherry picked from commit f9b72d8)
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Constraints cut for a release candidate had to land on the wave being voted on, whose providers exist in PyPI only as rc versions. Asking uv for a pre-release strategy left it free to answer with any version satisfying the lower bounds, so the pins were neither the candidate nor the last release, and what a candidate shipped depended on how the resolution happened to go.
Retrieving the versions from PyPI and naming them leaves nothing to resolve: the constraints pin what is actually published. A pre-release is only ever considered when the run allows it, and even then it has to sort above every final release, so a provider without a candidate in the wave keeps its release and a released constraints file can never carry an rc pin.
A candidate is exempt from the downgrade check - it sorts below the releases the constraints branch already carries, so the comparison says nothing there.
Re-running the workflow for the same candidate now replaces that candidate's branch and tag instead of pushing onto them, so the two always describe the run that produced them and a wave can be re-cut.
fixup! Pin providers in constraints to the versions published in PyPI
fixup! Pin providers in constraints to the versions published in PyPI
fixup! Pin providers in constraints to the versions published in PyPI
fixup! Pin providers in constraints to the versions published in PyPI
fixup! Pin providers in constraints to the versions published in PyPI
(cherry picked from commit f9b72d8)
Was generative AI tooling used to co-author this PR?
{pr_number}.significant.rst, in airflow-core/newsfragments. You can add this file in a follow-up commit after the PR is created so you know the PR number.