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There have been a few issues with more complicated user environments. This often is the case on workbench, but can happen on desktop as well. For example, there was a recent regression where .venv in a workspace was not being started automatically.
The thought is to create a separate workflow that has more complicated setup. This would run perhaps nightly? The reason for the separate workflow is to avoid the need for the complicated setup in the "normal" testing, both local and in CI.
Things that it might include:
Several different types of python virtual environments
Unusual install locations for both R & Python
Unsupported versions of R & Python
We could also then move the "include" tests of interpreters to this workflow and remove that part of the setup from the other CI workflows
Some things to consider
Need to exclude these tests from other workflows
Perhaps could add the ability to specify the working directory of the test, e.g where qa-example-repo gets cloned into.
Could this be helped with docker container work?
The text was updated successfully, but these errors were encountered:
There have been a few issues with more complicated user environments. This often is the case on workbench, but can happen on desktop as well. For example, there was a recent regression where .venv in a workspace was not being started automatically.
The thought is to create a separate workflow that has more complicated setup. This would run perhaps nightly? The reason for the separate workflow is to avoid the need for the complicated setup in the "normal" testing, both local and in CI.
Things that it might include:
We could also then move the "include" tests of interpreters to this workflow and remove that part of the setup from the other CI workflows
Some things to consider
qa-example-repo
gets cloned into.The text was updated successfully, but these errors were encountered: