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area-environmentsFeatures relating to handling interpreter environmentsFeatures relating to handling interpreter environmentsfeature-requestRequest for new features or functionalityRequest for new features or functionalityneeds spikeLabel for issues that need investigation before they can be worked on.Label for issues that need investigation before they can be worked on.partner askverifiedVerification succeededVerification succeeded
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Once Jupyter installs ipykernel
into the env, python
is installed along with it. To update the env, right now running the refresh api and waiting for the env change event to get fired takes around 60s according to #20634 (comment). Potential solutions:
- See if it's possible to use
resolveEnvironment
to quickly resolve the latest details for such envs. (either the same API or a new parameter on the same API) - Provide a private API to forcibly just refresh conda envs, so we need not do a full refresh.
- Add a watcher for conda envs without python.
- Investigate why the refresh for envs takes 60s and possibly prioritize refresh of conda envs over others.
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area-environmentsFeatures relating to handling interpreter environmentsFeatures relating to handling interpreter environmentsfeature-requestRequest for new features or functionalityRequest for new features or functionalityneeds spikeLabel for issues that need investigation before they can be worked on.Label for issues that need investigation before they can be worked on.partner askverifiedVerification succeededVerification succeeded