Closed trungleduc closed 2 weeks ago
@jtpio I'm getting this error in the Check Release job: ValueError: Tag v3.0.0 already exists
. Do you know what happened?
Looks like it may be related to the changes to the yarn.lock
file?
It seems it's not able to bump the version to 3.0.1
in the workflow, which could explain the existing tag issue:
Probably not related but something that should also be fixed on CI: https://github.com/jupyterlab/jupyter-collaboration/issues/380
Looks like it may be related to the changes to the
yarn.lock
file?It seems it's not able to bump the version to
3.0.1
in the workflow, which could explain the existing tag issue:
Thanks!
Probably not related but something that should also be fixed on CI: #380
Ok i will take care of this
Failed UI test looks weird but i'm not sure it relates to this PR
do you want to update the dependency in pyproject.toml too?
isn't it a breaking change? I thought that main
is targeting 3.1.x
I don't think we should make a major release for that. Python 3.8 has reached end of life, I think all Jupyter projects should drop support for it too.
Right it's probably fine to drop support for a Python version in a minor release. For example JupyterLab dropped support for Python 3.6 in JupyterLab 3.3: https://jupyterlab.readthedocs.io/en/latest/getting_started/changelog.html#id298
As long as it's visible in the changelog and/or the docs.
So the UI tests seem to be failing consistently after a restart. It would be worth looking into it as otherwise we would have to live with a failing CI, which is going to be annoying very quickly.
So the UI tests seem to be failing consistently after a restart. It would be worth looking into it as otherwise we would have to live with a failing CI, which is going to be annoying very quickly.
This is an issue of JupyterLab, I opened the issue here https://github.com/jupyterlab/jupyterlab/issues/16934
@jtpio, how should we proceed with this PR? Should we wait for a new JupyterLab patch version or update the snapshot?
Does this behavior happen for real users of jupyter-collaboration
, not just in the UI tests?
If so, it will probably make sense to update to the "wrong" snapshot for now to indicate this is an expected issue. And then fix it when a new JupyterLab release with the fix is available?
Does this behavior happen for real users of
jupyter-collaboration
, not just in the UI tests?If so, it will probably make sense to update to the "wrong" snapshot for now to indicate this is an expected issue. And then fix it when a new JupyterLab release with the fix is available?
I can reproduce it locally https://github.com/jupyterlab/jupyterlab/issues/16934
it will probably make sense to update to the "wrong" snapshot for now to indicate this is an expected issue. And then fix it when a new JupyterLab release with the fix is available?
I agree
OK then let's update the snapshot so "CI passes" and the PR can be merged?
Thanks @trungleduc for looking into this!
it's green!
Code changes
python scripts/dev_install.py
oryarn dev
is enough to set up the dev enviroment.