Note

A different approach to enable devcontainer is: https://github.com/behrica/devcontainer-templates

adddev

Babashka script which adds a devcontainer configuration to a clojure project in current folder.

Usage

Basic usage is via

bb -m behrica.adddev.main

But as the script acts on local folder, it makes more sense to have it installed in some form in your computer, using bbinfor example.

bbin install io.github.behrica/add-devcontainer

Running the script creates a local folder .devcontainer with a devcontainer.json including Clojure, babashka and lsp.

You can add the following parameters to add support for python or R into the devcontainer. This updates as well deps.edn.

parameter	description
:with-R	adds R and clojisr
:with-python	adds python and clj-libpython and a nrepl start script which runs nrepl in a configured venv
:with-noj	add noj to deps.edn

nrepl.sh

When the python support is activated, the script creates as well a nrepl.sh script, which combines the setup of the venv via poetry and the nrepl start via clj in one commmand. This makes sure, that the clojure process starts with the activated venv, which makes libpython-clj automatically find the correct python environment at initialisation.

Using the appropiate poetry and clj commands this could as well be done more manual.

From zero to clojure nrepl including usage of python and R from Clojure

With Emacs

Assuming you have

• Docker
• neil
• devpod
• add-devcontainer installed as adddev with bbin

installed and working on your machine,

you can get from "zero" to a clojure + python and R enabled devcontainer running nrepl (with working python bindings via [libpython-clj](https://github.com/clj-python/libpython-clj and R bindings with clojisr) ) on port 12345 via:

neil new scratch foo
cd foo/
adddev :with-python :with-R
chmod +x nrepl.sh
devpod up .
devpod ssh . --command ./nrepl.sh

As devpod will forward port 12345 to your host, you can do cider-connect to localhost:12345 with Emacs (or any other nrepl based IDE)

All changes of python packages listed in pyproject.toml will be picked-up and sychronized with the used venv when you stop/start nrepl.sh

The files of your localfolder a bind mount into the runnover docker. So you can edit them "localy" with Emacs, and the running Docker will see all changes immidiately. (You could as well edit them via Emacs/Tramp over the ssh connection, but this is not needed)

With VSCode and Codespaces

Using those the devpod CLI usage is not needed and the devcontainer setup happens automatically by VSCode. VSCode has a feature of "Reopen in folder in devcontainer" which does all automatically. In this case the nrepl.sh would be started from inside VSCode / Codespaces

If the code is on Github, Github allows to use Codespaces for an in-Browser VSCode IDE.

Setup a complete Clojure data science project including R, python support

Assuming that above listed tools are installed.

It adds as well noj

neil new scratch datascience-scratch
cd datascience-scratch
adddev :with-python :with-R :with-noj
# Recommendet when using Emacs. 
# In VSCode `opening the folder` activates devcontainer
chmod +x nrepl.sh
devpod up .
devpod ssh . --command ./nrepl.sh