What is the recommended way to build jupyterlab docker image locally?

[Jesse_Wang]

Hi there,
I want to do some modification to the lab code and build a docker image locally.
Since the docker build script and Dockerfile has been removed recently, what’s the recommended way to build a lab docker image locally now?

Thanks.

[Jesse_Wang]

The way I find possible is to build a wheel package locally, then create a Dockerfile to build the image with jupyter/base-notebook as the base image and install the built wheel package in the Dockerfile. Other people with more expertise on this please correct me and add more information.

However, after modifying and building source under packages directory, we have to manually copy the built file into staging directory for it to be packaged into wheel package.

For example, after modifying files under packages/docregistry, we should do:

jlpm run build
cp -r packages/docregistry/lib jupyterlab/staging/node_modules/@jupyterlab/docregistry/
python -m build

There were discussions about this in the following threads also:

Jupyterlab build from source: how to release it, say as a pip (or conda) package?

I am able to build jupyterlab from source (jlpm run build; jlpm run build:core; jupyter lab build all works). So I am attempting to run test: jlpm run build:testutils. It succeed to run a number of tests (except in the module @jupyterlab/services which timeout). Now I am ready to release it such that I can install this jupyterlab build into different docker images or conda environments. Following the essence of this: https://github.com/jupyterlab/jupyterlab/blob/ad0f1a5bc745a32086403cb89b98…

Jupterlab source build - how are the content of directory staging/ got populated?

// It sounds like you are working from a dev install, and are talking about the jupyterlab/staging directory in the git repo - is that right? Ans: Yes, that is correct. // The staging directory in the repo is populated/updated during the JLab release process. The normal dev workflow (changing a file in the repo, doing jlpm run build , and running jupyter lab --dev-mode ) does not touch or use the staging directory. Ans: Yes, that is what I found out. So I was wondering if there is any w…

[savemuri]

@Jesse_Wang

The way I find possible is to build a wheel package locally, then create a Dockerfile to build the image with jupyter/base-notebook as the base image and install the built wheel package in the Dockerfile. Other people with more expertise on this please correct me and add more information.

Hi @Jesse_Wang, I am trying a similar approach but hitting a roadblock. Would you be able to share an example working Dockerfile?