How to launch Jupyter with custom extension using a docker - docker

Question

I am trying to launch, via docker, a jupyterlab with a custom extension(extensionTest). However, I haven't been successful.
Can someone tell me how can i do it? Or put here an example?
What is the best base docker image to use?
Thank you
Best regards
I tried doing this dockerfile, but is not working :
FROM jupyter/minimal-notebook:lab-3.2.3
RUN pip install --no-cache-dir \
astropy \
ipytree \
ipywidgets \
jupyter \
numpy \
poliastro
RUN jupyter labextension install \
jupyterlab-plotly#4.14.2 \
plotlywidget#4.14.2
RUN pip install jupyterlab_widgets
COPY ./extensions/ ./extensions/
WORKDIR ./extensions/
RUN python -m pip install ./extensionTest
RUN jupyter labextension extensionTest
ENTRYPOINT start.sh jupyter lab
Thanks
Error that I get :
ERROR: Command errored out with exit status 1:
command: /opt/conda/bin/python /opt/conda/lib/python3.9/site-packages/pip/_vendor/pep517/in_process/_in_process.py build_wheel /tmp/tmp2m0biqur
cwd: /home/jovyan/extensions/extensionTest
Complete output (44 lines):
INFO:hatch_jupyter_builder.utils:Running jupyter-builder
INFO:hatch_jupyter_builder.utils:Building with hatch_jupyter_builder.npm_builder
INFO:hatch_jupyter_builder.utils:With kwargs: {'build_cmd': 'build:prod', 'npm': ['jlpm']}
INFO:hatch_jupyter_builder.utils:Installing build dependencies with npm. This may take a while...
INFO:hatch_jupyter_builder.utils:> /tmp/pip-build-env-gj35ixm0/overlay/bin/jlpm install
yarn install v1.21.1
info No lockfile found.
[1/4] Resolving packages...
warning #jupyterlab/application > #jupyterlab/apputils > url > querystring#0.2.0: The querystring API is considered Legacy. new code should use the URLSearchParams API instead.
warning #jupyterlab/application > #jupyterlab/ui-components > #blueprintjs/core > popper.js#1.16.1: You can find the new Popper v2 at #popperjs/core, this package is dedicated to the legacy v1
warning #jupyterlab/application > #jupyterlab/ui-components > #blueprintjs/core > react-popper > popper.js#1.16.1: You can find the new Popper v2 at #popperjs/core, this package is dedicated to the legacy v1
warning #jupyterlab/builder > terser-webpack-plugin > cacache > #npmcli/move-file#1.1.2: This functionality has been moved to #npmcli/fs
warning #jupyterlab/builder > #jupyterlab/buildutils > crypto#1.0.1: This package is no longer supported. It's now a built-in Node module. If you've depended on crypto, you should switch to the one that's built-in.
warning #jupyterlab/builder > #jupyterlab/buildutils > verdaccio > request#2.88.0: request has been deprecated, see https://github.com/request/request/issues/3142
warning #jupyterlab/builder > #jupyterlab/buildutils > verdaccio > request > har-validator#5.1.5: this library is no longer supported
warning #jupyterlab/builder > #jupyterlab/buildutils > verdaccio > request > uuid#3.4.0: Please upgrade to version 7 or higher. Older versions may use Math.random() in certain circumstances, which is known to be problematic. See https://v8.dev/blog/math-random for details.
[2/4] Fetching packages...
warning #blueprintjs/core#3.54.0: Invalid bin entry for "upgrade-blueprint-2.0.0-rename" (in "#blueprintjs/core").
warning #blueprintjs/core#3.54.0: Invalid bin entry for "upgrade-blueprint-3.0.0-rename" (in "#blueprintjs/core").
error lib0#0.2.58: The engine "node" is incompatible with this module. Expected version ">=14". Got "12.4.0"
error Found incompatible module.
info Visit https://yarnpkg.com/en/docs/cli/install for documentation about this command.
Traceback (most recent call last):
File "/opt/conda/lib/python3.9/site-packages/pip/_vendor/pep517/in_process/_in_process.py", line 363, in <module>
main()
File "/opt/conda/lib/python3.9/site-packages/pip/_vendor/pep517/in_process/_in_process.py", line 345, in main
json_out['return_val'] = hook(**hook_input['kwargs'])
File "/opt/conda/lib/python3.9/site-packages/pip/_vendor/pep517/in_process/_in_process.py", line 261, in build_wheel
return _build_backend().build_wheel(wheel_directory, config_settings,
File "/tmp/pip-build-env-gj35ixm0/overlay/lib/python3.9/site-packages/hatchling/build.py", line 41, in build_wheel
return os.path.basename(next(builder.build(wheel_directory, ['standard'])))
File "/tmp/pip-build-env-gj35ixm0/overlay/lib/python3.9/site-packages/hatchling/builders/plugin/interface.py", line 136, in build
build_hook.initialize(version, build_data)
File "/tmp/pip-build-env-gj35ixm0/normal/lib/python3.9/site-packages/hatch_jupyter_builder/plugin.py", line 83, in initialize
raise e
File "/tmp/pip-build-env-gj35ixm0/normal/lib/python3.9/site-packages/hatch_jupyter_builder/plugin.py", line 78, in initialize
build_func(self.target_name, version, **build_kwargs)
File "/tmp/pip-build-env-gj35ixm0/normal/lib/python3.9/site-packages/hatch_jupyter_builder/utils.py", line 114, in npm_builder
run(npm_cmd + ["install"], cwd=str(abs_path))
File "/tmp/pip-build-env-gj35ixm0/normal/lib/python3.9/site-packages/hatch_jupyter_builder/utils.py", line 227, in run
return subprocess.check_call(cmd, **kwargs)
File "/opt/conda/lib/python3.9/subprocess.py", line 373, in check_call
raise CalledProcessError(retcode, cmd)
subprocess.CalledProcessError: Command '['/tmp/pip-build-env-gj35ixm0/overlay/bin/jlpm', 'install']' returned non-zero exit status 1.

Answer 1

So, to anyone interested i was able to create a docker file that builds and run you jupyter extension. My code is this:
FROM node:14 AS build-env
RUN apt-get update && \
apt-get install -y python3-pip && \
pip3 install jupyterlab
COPY Path/to/Extension Path/to/Extension
WORKDIR Path/to/extension
RUN yarn install && yarn build && yarn run build
FROM jupyter/minimal-notebook:lab-3.2.3
RUN pip install --no-cache-dir \
astropy \
ipytree \
ipywidgets \
jupyter \
numpy \
poliastro
RUN jupyter labextension install \
jupyterlab-plotly#4.14.2 \
#jupyter-widgets/jupyterlab-manager \
plotlywidget#4.14.2
COPY --from=build-env Path/to/Extension/on/Nodejs Path/to/Extension
RUN jupyter labextension install Path/to/Extension
If someone knows something that can be simplified, let me know :)