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Mapping between notebook and python #20089

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karthiknadig opened this issue Oct 27, 2022 · 1 comment
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Mapping between notebook and python #20089

karthiknadig opened this issue Oct 27, 2022 · 1 comment
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area-intellisense LSP-related functionality: auto-complete, docstrings, navigation, refactoring, etc. feature-request Request for new features or functionality needs spike Label for issues that need investigation before they can be worked on.

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Currently Jupyter extension has a map of resource to associated Kernel. In this item we investigate how such mapping works and see if Jupyter can contribute this information to Python extension via some API, and what that API will look like. This will also define how that info will be exposed to LS.
@karthiknadig karthiknadig added the feature-request Request for new features or functionality label Oct 27, 2022
@github-actions github-actions bot added the triage-needed Needs assignment to the proper sub-team label Oct 27, 2022
@karthiknadig karthiknadig added area-intellisense LSP-related functionality: auto-complete, docstrings, navigation, refactoring, etc. needs spike Label for issues that need investigation before they can be worked on. and removed triage-needed Needs assignment to the proper sub-team labels Oct 27, 2022
@karthiknadig karthiknadig self-assigned this Oct 27, 2022
@kieferrm kieferrm mentioned this issue Nov 6, 2022
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@karthiknadig
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karthiknadig commented Feb 13, 2023 •
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There are two types of mappings needed:

  1. Notebook URI -> Python Path
  2. Text Document URI -> Notebook URI

From my reading 1 is needed to get the right packages when performing analysis. Not sure why 2 was moved into Jupyter extension, this seems to be using information available to all extension, and could be calculated independently. In either case there needs to be a way to communicate this info to LS provider.

@kieferrm kieferrm mentioned this issue Feb 21, 2023
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area-intellisense LSP-related functionality: auto-complete, docstrings, navigation, refactoring, etc. feature-request Request for new features or functionality needs spike Label for issues that need investigation before they can be worked on.
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