jupyter-scala

Jupyter Lab ❤️ Scala, integrating almond and metals-lsp.

This project is all follow the introduction of JupyterLab lsp, especially Scala Language Server (metals) integration helped me extremely.

Screenshot

How to use

Docker

You can use my built image for experience, just run this,

docker run -p 8888:8888 ghcr.io/mingyang91/jupyter-scala:latest

Then the jupyter token will print to console

Entered start.sh with args: jupyter lab
Executing the command: jupyter lab
[I 2022-01-13 07:13:20.826 ServerApp] jupyter_lsp | extension was successfully linked.
[I 2022-01-13 07:13:20.840 ServerApp] jupyterlab | extension was successfully linked.
[W 2022-01-13 07:13:20.845 NotebookApp] 'ip' has moved from NotebookApp to ServerApp. This config will be passed to ServerApp. Be sure to update your config before our next release.
[W 2022-01-13 07:13:20.845 NotebookApp] 'port' has moved from NotebookApp to ServerApp. This config will be passed to ServerApp. Be sure to update your config before our next release.
[W 2022-01-13 07:13:20.845 NotebookApp] 'port' has moved from NotebookApp to ServerApp. This config will be passed to ServerApp. Be sure to update your config before our next release.
[I 2022-01-13 07:13:20.854 ServerApp] Writing Jupyter server cookie secret to /home/jovyan/.local/share/jupyter/runtime/jupyter_cookie_secret
[I 2022-01-13 07:13:21.077 ServerApp] nbclassic | extension was successfully linked.
[I 2022-01-13 07:13:21.108 ServerApp] nbclassic | extension was successfully loaded.
[I 2022-01-13 07:13:21.699 ServerApp] Skipped non-installed server(s): bash-language-server, dockerfile-language-server-nodejs, javascript-typescript-langserver, jedi-language-server, julia-language-server, pyright, python-lsp-server, sql-language-server, typescript-language-server, unified-language-server, vscode-css-languageserver-bin, vscode-html-languageserver-bin, vscode-json-languageserver-bin, yaml-language-server
[I 2022-01-13 07:13:21.831 ServerApp] jupyter_lsp | extension was successfully loaded.
[I 2022-01-13 07:13:21.833 LabApp] JupyterLab extension loaded from /opt/conda/lib/python3.9/site-packages/jupyterlab
[I 2022-01-13 07:13:21.833 LabApp] JupyterLab application directory is /opt/conda/share/jupyter/lab
[I 2022-01-13 07:13:21.837 ServerApp] jupyterlab | extension was successfully loaded.
[I 2022-01-13 07:13:21.838 ServerApp] Serving notebooks from local directory: /home/jovyan
[I 2022-01-13 07:13:21.838 ServerApp] Jupyter Server 1.13.1 is running at:
[I 2022-01-13 07:13:21.838 ServerApp] http://ccb7df4fc2a8:8888/lab?token=44263c798de2f69610b325f9a83438cc32fb8acc6471fb93
[I 2022-01-13 07:13:21.838 ServerApp]  or http://127.0.0.1:8888/lab?token=44263c798de2f69610b325f9a83438cc32fb8acc6471fb93
[I 2022-01-13 07:13:21.838 ServerApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 2022-01-13 07:13:21.842 ServerApp]

    To access the server, open this file in a browser:
        file:///home/jovyan/.local/share/jupyter/runtime/jpserver-7-open.html
    Or copy and paste one of these URLs:
        http://ccb7df4fc2a8:8888/lab?token=44263c798de2f69610b325f9a83438cc32fb8acc6471fb93
     or http://127.0.0.1:8888/lab?token=44263c798de2f69610b325f9a83438cc32fb8acc6471fb93
[I 2022-01-13 07:13:31.647 LabApp] Build is up to date
[I 2022-01-13 07:13:32.724 ServerApp] Creating new notebook in
[I 2022-01-13 07:13:32.740 ServerApp] Writing notebook-signing key to /home/jovyan/.local/share/jupyter/notebook_secret
[I 2022-01-13 07:13:32.986 ServerApp] Kernel started: c61acd2f-c7f3-461f-a6bb-a1563ec88dbf
[I 2022-01-13 07:13:36.691 ServerApp] Adapting from protocol version 5.4 (kernel c61acd2f-c7f3-461f-a6bb-a1563ec88dbf) to 5.3 (client).
[I 2022-01-13 07:13:36.697 ServerApp] Adapting from protocol version 5.4 (kernel c61acd2f-c7f3-461f-a6bb-a1563ec88dbf) to 5.3 (client).
[I 2022-01-13 07:13:36.697 ServerApp] Adapting from protocol version 5.4 (kernel c61acd2f-c7f3-461f-a6bb-a1563ec88dbf) to 5.3 (client).
[I 2022-01-13 07:14:33.177 ServerApp] Starting buffering for c61acd2f-c7f3-461f-a6bb-a1563ec88dbf:f3f99a35-5f39-4ba3-988d-eccc6d89fb73

Click it

Kubernetes

You can follow the k8s.yaml to build your own deploy, for development purpose