"CONDA_DIR"

[bjornjorgensen]

I don't think this will work

jupyterlab-python-docker-stack/base/conf/jupyter/etc/jupyter/jupyter_server_config.py

Line 69 in 074d2b2

cnf_file = os.path.join(os.getenv("CONDA_DIR", "/usr/lib"), "ssl", "openssl.cnf")

[benz0li]

It does.

In Python:

>>> import os
>>> cnf_file = os.path.join(os.getenv("CONDA_DIR", "/usr/lib"), "ssl", "openssl.cnf")
>>> cnf_file
'/usr/lib/ssl/openssl.cnf'

In Terminal

cat /usr/lib/ssl/openssl.cnf

#
# OpenSSL example configuration file.
# See doc/man5/config.pod for more info.
#
# This is mostly being used for generation of certificate requests,
# but may be used for auto loading of providers
...

[bjornjorgensen]

ok, so it defaults to "/usr/lib" but what about removing "CONDA_DIR" ?

[benz0li]

ok, so it defaults to "/usr/lib" but what about removing "CONDA_DIR" ?

Will do so when updating to JupyterLab 4.x. Also including jupyter/docker-stacks#1984.

I have not yet updated to JupyterLab 4.x, because some essential extensions are not yet compatible.
ℹ️ See jupyterlab/jupyterlab#14590 for more information.

[bjornjorgensen]

ok, what are those essential extensions?

[benz0li]

ok, what are those essential extensions?

• jupyter-server-proxy
• jupyterlab-git
• jupyterlab-lsp

See

jupyterlab-python-docker-stack/base/latest.Dockerfile

Lines 227 to 237 in 074d2b2

	## Install JupyterLab
	RUN export PIP_BREAK_SYSTEM_PACKAGES=1 \
	&& pip install \
	jupyter-server-proxy \
	jupyterhub==${JUPYTERHUB_VERSION} \
	jupyterlab==${JUPYTERLAB_VERSION} \
	jupyterlab-git \
	jupyterlab-lsp \
	notebook \
	nbconvert \
	python-lsp-server[all] \

[bjornjorgensen]

ok, thank you.
Well, my idea it to use debian testing or unstable, have it with python 3.12 RC (for testing) and java 21. Remove coder-server and only have a basic jupyterlab and not having GPU stuff. I use Visual Studio Code Insiders as IDE and the docker files are on a server. So I connect to it with remote ssh.

[benz0li]

Well, my idea it to use debian testing or unstable, have it with python 3.12 RC (for testing) and java 21. Remove coder-server and only have a basic jupyterlab and not having GPU stuff. I use Visual Studio Code Insiders as IDE and the docker files are on a server. So I connect to it with remote ssh.

Then, it is better you build on https://github.com/b-data/python-docker-stack.

Be aware of https://github.com/b-data/python-docker-stack/blob/main/ver/latest.Dockerfile#L9 and that there is neither
glcr.b-data.ch/python/psi/3.12.0rc<n>/debian:testing nor
glcr.b-data.ch/python/psi/3.12.0rc<n>/debian:unstable

[benz0li]

Then, it is better you build on https://github.com/b-data/python-docker-stack.

That is what I do for the Data Science Dev Containers: https://github.com/b-data/data-science-devcontainers

[benz0li]

Will do so when updating to JupyterLab 4.x. Also including jupyter/docker-stacks#1984.

Not including jupyter/docker-stacks#2006 and jupyter/docker-stacks#2007, though.
👉 I.e. not going to migrate startup scripts and hooks to Python.

[benz0li]

Closed by 536a918