jupyter-lsp 2.2.5

This is a hotfix release for jupyter-lsp (server extension) only.

To upgrade to this release:

1. Make sure your JupyterLab version is 4.1.0 or newer and Python version is 3.8 or newer.
2. Update the extension:

   pip install jupyterlab-lsp==5.1.0 jupyter-lsp==2.2.5 'jupyterlab>=4.1.0'
   # or, for conda:
   # > Please note that conda packages may take a day or two since release before becoming available!
   # conda install -c conda-forge jupyterlab-lsp=5.1.0 jupyter-lsp=2.2.5 'jupyterlab>=4.1.0'

3. If installing this extension for the first time:
   • please read the full installation instructions as language servers of your choice need to be installed too, and additional configuration can make your experience smoother,
   • if you wish to use jedi-language-server or python-lsp-server, please make sure to upgrade IPython to 7.20 or newer.

Changelog

jupyter-lsp 2.2.5

• bug fixes:
  • fix for environment variables leaking into the parent environment (#1078)

jupyter-lsp 2.2.4

This is a hotfix release for jupyter-lsp (server extension) only.

To upgrade to this release:

1. Make sure your JupyterLab version is 4.1.0 or newer and Python version is 3.8 or newer.
2. Update the extension:

   pip install jupyterlab-lsp==5.1.0 jupyter-lsp==2.2.4 'jupyterlab>=4.1.0'
   # or, for conda:
   # > Please note that conda packages may take a day or two since release before becoming available!
   # conda install -c conda-forge jupyterlab-lsp=5.1.0 jupyter-lsp=2.2.4 'jupyterlab>=4.1.0'

3. If installing this extension for the first time:
   • please read the full installation instructions as language servers of your choice need to be installed too, and additional configuration can make your experience smoother,
   • if you wish to use jedi-language-server or python-lsp-server, please make sure to upgrade IPython to 7.20 or newer.

Changelog

jupyter-lsp 2.2.4

• bug fixes:
  • fix websocket handler incorrectly inheriting from APIHandler rather than JupyterHandler (#1069)
  • remove unused notebook config entry point (#1069)
  • support latest version of typescript-language-server (#1064)

v5.1.0

This release includes a new experimental document outline feature (for file editor) and a number of bug fixes. JupyterLab 4.1 or newer is required for this version.

To upgrade to this release:

1. Make sure your JupyterLab version is 4.1.0 or newer and Python version is 3.8 or newer.
2. Update the extension:

   pip install jupyterlab-lsp==5.1.0 jupyter-lsp==2.2.3 'jupyterlab>=4.1.0'
   # or, for conda:
   # > Please note that conda packages may take a day or two since release before becoming available!
   # conda install -c conda-forge jupyterlab-lsp=5.1.0 jupyter-lsp=2.2.3 'jupyterlab>=4.1.0'

3. If installing this extension for the first time:
   • please read the full installation instructions as language servers of your choice need to be installed too, and additional configuration can make your experience smoother,
   • if you wish to use jedi-language-server or python-lsp-server, please make sure to upgrade IPython to 7.20 or newer.

Changelog

jupyterlab-lsp 5.1.0

Requires JupyterLab >=4.1.0,<5.0.0a0

• new features:
  • populate table of contents with code symbols outline (experimental, file editor only)
• bug fixes:
  • fix settings reconciliation for nested properties (#1051)
  • fix a regression introduced in v5.0.2 which meant that overrides for native kernel and context completion providers were never active (#1057)
  • reduces some warnings in places known to have false positives to debug statements (#1057)
  • highlights no longer get instantly removed when navigating to a beginning of cell from another cell (#1057)
  • with the use of the new extensionFactory API (#1057):
    • LSP features work more reliably as the correct virtual document and editor is known rather than found from heuristics
    • LSP CodeMirror extensions are not added to editors which do not have an LSP-enabled editor reducing spurious warnings and improving performance
    • LSP CodeMirror extensions are only added once the LSP server was connected
• maintenance:
  • use new extensionFactory API allowing to remove workarounds that were needed to make the extension work in JupyterLab 4.0 (#1057)
  • remove no-longer needed patches for VirtualDocument as these were merged upstream and released in JupyterLab 4.1 (#1057)
  • update coverage, robot version and reporting approaches (#1052)
  • build against JupyterLab 4.1, fix tests (#1057)
  • bump ip from 2.0.0 to 2.0.1 (#1055)

jupyter-lsp 2.2.3

• maintenance:
  • updates pyright config schema to v1.1.350

v5.0.3

This is a small release with two bug fixes for completer and transclusions.

To upgrade to this release:

1. Make sure your JupyterLab version is 4.0.11 or newer and Python version is 3.8 or newer.
2. Update the extension:

   pip install jupyterlab-lsp==5.0.3 jupyter-lsp==2.2.2 'jupyterlab>=4.0.11'
   # or, for conda:
   # > Please note that conda packages may take a day or two since release before becoming available!
   # conda install -c conda-forge jupyterlab-lsp=5.0.3 jupyter-lsp=2.2.2 'jupyterlab>=4.0.11'

3. If installing this extension for the first time:
   • please read the full installation instructions as language servers of your choice need to be installed too, and additional configuration can make your experience smoother,
   • if you wish to use jedi-language-server or python-lsp-server, please make sure to upgrade IPython to 7.20 or newer.

Changelog

@jupyter-lsp/jupyterlab-lsp 5.0.3

• bug fixes:
  • fix nested transclusions in JupyterLab 4.0.7+ (#1045)
  • fix completions when type is not defined (#1044)

Full Changelog: v5.0.2...v5.0.3

v5.0.2

All users should upgrade jupyter-lsp to v2.2.2 which addresses a security vulnerability

To upgrade to this release:

1. Make sure your JupyterLab version is 4.0.9 or newer and Python version is 3.8 or newer.
2. Update the extension:

   pip install jupyterlab-lsp==5.0.2 jupyter-lsp==2.2.2 'jupyterlab>=4.0.9'
   # or, for conda:
   # > Please note that conda packages may take a day or two since release before becoming available!
   # conda install -c conda-forge jupyterlab-lsp=5.0.2 jupyter-lsp=2.2.2 'jupyterlab>=4.0.9'

3. If installing this extension for the first time:
   • please read the full installation instructions as language servers of your choice need to be installed too, and additional configuration can make your experience smoother,
   • if you wish to use jedi-language-server or python-lsp-server, please make sure to upgrade IPython to 7.20 or newer.

Changelog

@jupyter-lsp/jupyterlab-lsp 5.0.2

• bug fixes:
  • fix native JupyterLab completion not working when LSP completion plugin is disabled (#1036)

jupyter-lsp 2.2.2

• bug fixes:

  • address warning about renamed extension_points (#1035)
  • fix compatibility with jupyter server 1.x
  • fix an authentication-related security vulnerability (see the advisory for details)

• enhancements:

  • add authorization support (lsp resource, jupyter-server v2+ only) - this allows server operators for fine grained access control, e.g. in case if specific users (such as guest or read-only users) should not be allowed to access LSP; this is in addition to authentication fixes

Full Changelog: v5.0.1...v5.0.2

v5.0.1

A first (and extensive) bug fix release for jupyterlab-lsp 5.0.x line supporting JupyterLab 4.0. For older JupyterLab versions please use jupyterlab-lsp 4.x line. Please report any regression on GitHub issue tracker and feel welcome to open a pull request if you would like to contribute an enhancement or a bug fix.

A special shout out to new contributors who contributed to this set of releases: @i-aki-y, @jameshurst, and @zhanba 🎉

To upgrade to this release:

1. Make sure your JupyterLab version is 4.0.6 or newer and Python version is 3.8 or newer.
2. Update the extension:

   pip install jupyterlab-lsp==5.0.1 jupyter-lsp==2.2.1 'jupyterlab>=4.0.9'
   # or, for conda:
   # > Please note that conda packages may take a day or two since release before becoming available!
   # conda install -c conda-forge jupyterlab-lsp=5.0.1 jupyter-lsp=2.2.1 'jupyterlab>=4.0.9'

3. If installing this extension for the first time:
   • please read the full installation instructions as language servers of your choice need to be installed too, and additional configuration can make your experience smoother,
   • if you wish to use jedi-language-server or python-lsp-server, please make sure to upgrade IPython to 7.20 or newer.

Changelog

@jupyter-lsp/jupyterlab-lsp 5.0.1

• bug fixes:
  • fix false “undefined name” in %%time and %%capture magics #1007 (thanks @i-aki-y!)
  • fix completion items for paths and other long items being cut off #1025
  • workaround issue with markdown lost on edit #1016
  • fix latex/Greek letters insertion and other completions which do not match prefix (do not pre-filter completions from kernel) #1022
  • fix completions in Console #1023
  • fix customising priority after pre-setting it with overrides.json #1027
  • fix jump to definitions in a file inside root in Pyright on Windows #1024
  • fix typos in setting title and help message #999 and #1010
• maintenance:
  • fix bootstrap script #1021
  • bump axios from 1.2.1 to 1.6.2 #1019
  • bump @babel/traverse from 7.22.5 to 7.23.4 #1020

jupyter-lsp 2.2.1

• bug fixes:
  • use APIHandler over JupyterHandler to get CORS OPTIONS #952 (thanks @zhanba!)
  • use shutil.which to discover npm executable on Windows #955 (thanks @jameshurst!)
• maintenance:
  • resolve traitlets type warnings, lint, remove six #1015
  • use sys.executable in stdio tests #998

Full Changelog: v5.0.0...v5.0.1

v5.0.0

This release brings support for JupyterLab 4.0. Known issues/limitations are listed in the changelog below. Please report any other regression on GitHub issue tracker and feel welcome to open a pull request if you would like to contribute an enhancement or a bug fix. For older JupyterLab versions please use jupyterlab-lsp 4.x line.

Extension authors: feature registration is now handled by upstream @jupyterlab/lsp package; migration overview notes are available in the documentation. Please note that better support for CodeMirror6 integration will be available in JupyterLab 4.1 release.

To upgrade to this release:

1. Make sure your JupyterLab version is 4.0.6 or newer and Python version is 3.8 or newer.
2. Update the extension:

   pip install jupyterlab-lsp==5.0.0 jupyter-lsp==2.2.0 'jupyterlab>=4.0.6'
   # or, for conda:
   # > Please note that conda packages may take a day or two since release before becoming available!
   # conda install -c conda-forge jupyterlab-lsp=5.0.0 jupyter-lsp=2.2.0 'jupyterlab>=4.0.6'

3. If installing this extension for the first time:
   • please read the full installation instructions as language servers of your choice need to be installed too, and additional configuration can make your experience smoother,
   • if you wish to use jedi-language-server or python-lsp-server, please make sure to upgrade IPython to 7.20 or newer.

Changelog

• enhancements:
  • uses toast notifications instead of messages on status bar
  • diagnostics panel will be re-opened on reload
• maintenance:
  • support JupyterLab 4
  • use upstream @jupyterlab/lsp package
  • use camelCase convention in TypeScript/JavaScript code
  • use @codemirror/linter to show diagnostics
    • this comes with a different style of underlines and custom tooltips
• known issues/limitations:
  • configuration of language servers via JSON Settings Editor may result in a spurious warning due to a transitive clash with settings from the UI editor when using nested pattern (e.g. {pylsp: {flake8: {enabled: true}}}); the dotted pattern (e.g. {"pylsp.flake8.enabled": true}) does not lead to such problem.
  • enabling auto-invoke of completer requires toggling checkbox in both native and LSP Code Completion settings
  • robot mode does not support JupyterLab 4.0, hence robot LSP will not work either
  • renaming in docker files may not work on certain variables due to upstream tokenizer issue

Full Changelog: v4.3.0...v5.0.0

v5.0.0rc1

This is the second release candidate of v5.0.0, providing support for JupyterLab 4.0. There are no know major bugs at this point - if you see any issues, please report on https://github.com/jupyter-lsp/jupyterlab-lsp/issues. A final release is expected in the upcoming week.

To test this release:

1. Make sure your JupyterLab version is 4.0.6 or newer and Python version is 3.8 or newer.

2. Update the extension:

   pip install jupyterlab-lsp==5.0.0rc1 jupyter-lsp==2.2.0 jupyterlab==4.0.6

Changes compared to last 5.0.0rc0

• restored re-use of standalone virtual documents for transculsions

Requires JupyterLab >=4.0.6,<5.0.0a0

v4.3.0

To upgrade to this release:

1. Make sure your JupyterLab version is 3.6.x (for JupyterLab 4.0 please use jupyterlab-lsp 5.0) and Python version is 3.8 or newer

2. Update the extension:

   pip install jupyterlab-lsp==4.3.0 jupyter-lsp==2.2.0
   # or, for conda:
   # > Please note that conda packages may take a day or two since release before becoming available!
   # conda install -c conda-forge jupyterlab-lsp=4.3.0 jupyter-lsp=2.2.0

3. Note:

• If installing this extension for the first time, please read the full installation instructions as language servers of your choice need to be installed too, and additional configuration can make your experience smoother.
• If you wish to use jedi-language-server or python-lsp-server, please make sure to upgrade IPython to 7.20 or newer.
• If you wish to migrate to python-lsp-server (which is encouraged), please start by uninstalling python-language-server and only then install python-lsp-server; you may also need to replace pyls occurrences with pylsp in settings if you modified any.

Changelog of jupyterlab-lsp (4.3.0)

• features:
  • extractor for spark SQL magic was added (#980, thanks @skbitsp)
  • classes needed to register custom adapters are now exported (#980, thanks @skbitsp)
    • using these classes is not recommended for new code as registration mechanism was rewritten in JupyterLab 4.0 and moved to @jupyterlab/lsp

Full Changelog: v4.2.0...v4.3.0

v5.0.0rc0

This is the first release candidate of v5.0.0, providing support for JupyterLab 4.0. There are no know major bugs at this point - if you see any issues, please report on https://github.com/jupyter-lsp/jupyterlab-lsp/issues.

To test this release:

1. Make sure your JupyterLab version is 4.0.6 or newer and Python version is 3.8 or newer.

2. Update the extension:

   pip install jupyterlab-lsp==5.0.0rc0 jupyter-lsp==2.2.0 jupyterlab==4.0.6

Changes compared to last 5.0.0b1

• fixes diagnostics not showing up in text editor in certain circumstances
• fixes signature hover box not being clickable
• improves performance by not creating a temporary editor to setup linter underline style
• JSON overrides work again
• fixes issue with syntax highlighting breaking when pasting multiple cells
• numerous fixes for completer
• fixes for highlights when switching between notebooks/editors

Requires JupyterLab >=4.0.6,<5.0.0a0