repo2shellscript
is a plugin for repo2docker that outputs a directory with a shell-script and required files.
It does not build a container image, instead you should take the output and use it to build some other execution environment, either by running the output scripts or using one of the included Packer templates.
This plugin is still in development.
pip install -U git+https://github.com/manics/repo2shellscript.git@main
Simply include --engine shellscript
in the arguments to repo2docker
:
repo2docker --engine shellscript --no-run repository/to/build
Since this does not build anything you must pass --no-run
.
Example:
$ repo2docker --engine shellscript --user-name test --user-id 1002 --no-run https://github.com/binder-examples/conda
Picked Git content provider.
Using CondaBuildPack builder
Output directory: /home/test/repo2shellscript-output/r2dhttps-3a-2f-2fgithub-2ecom-2fbinder-2dexamples-2fconda5778653
Build script: /home/test/repo2shellscript-output/r2dhttps-3a-2f-2fgithub-2ecom-2fbinder-2dexamples-2fconda5778653/repo2shellscript-build.bash
Start script: /home/test/repo2shellscript-output/r2dhttps-3a-2f-2fgithub-2ecom-2fbinder-2dexamples-2fconda5778653/repo2shellscript-start.bash
Systemd service: /home/test/repo2shellscript-output/r2dhttps-3a-2f-2fgithub-2ecom-2fbinder-2dexamples-2fconda5778653/repo2shellscript.service
Packer templates: /home/test/repo2shellscript-output/r2dhttps-3a-2f-2fgithub-2ecom-2fbinder-2dexamples-2fconda5778653/repo2docker.pkr.hcl /home/test/repo2shellscript-output/r2dhttps-3a-2f-2fgithub-2ecom-2fbinder-2dexamples-2fconda5778653/repo2vagrant.pkr.hcl
User: test
Jupyter token: 4973fff2-3a21-4f24-a179-379e96a363d6
- Output directory: should contain everything required to build the environment, e.g. you could copy this to a Ubuntu 18.04 virtual machine
- Build script: a bash script that will build the environment, must be run as
root
- Start script: a bash script that should be used to start the environment
- Systemd service: an alternative to the start script
- Packer templates: Packer templates for Vagrant VirtualBox and Docker
- User: The user that should be used to run the start script
- Jupyter token: A generated token baked into the scripts
This uses a plain ubuntu:18.04
Docker container as the base environment 🙂:
docker run -it --name repo2shellscript -p 8888:8888 \
-v /home/test/repo2shellscript-output/r2dhttps-3a-2f-2fgithub-2ecom-2fbinder-2dexamples-2fconda5778653:/src:ro \
ubuntu:18.04
cd /src
./repo2shellscript-build.bash
sudo -u <USER> ./repo2shellscript-start.bash
If you use a Ubuntu:18.04 virtual machine your can use Systemd to start jupyter notebook:
cp repo2shellscript.service /etc/systemd/system/
systemctl daemon-reload
systemctl start repo2shellscript
Connect to http://IP:8888.
You will need to enter the auto-generated Jupyter token
from above.
If you have lost the output you can find the token in repo2shellscript-start.bash
or repo2shellscript.service
.
Alternatively set a fixed token in the configuration file.
Packer templates for building Virtualbox Vagrant (repo2vagrant.pkr.hcl
) and Docker (repo2docker.pkr.hcl
) images are included:
cd repo2shellscript-output/r2dhttps-3a-2f-2fgithub-2ecom-2fbinder-2dexamples-2fconda5778653/
packer build repo2vagrant.pkr.hcl
packer build repo2docker.pkr.hcl
Note you must ensure the repo2docker --user-name
and --user-id
(also used as a group id) do not exist in the base image.
The ubuntu/bionic64
Vagrant box already contains group IDs 1000
and 1001
so you should set --user-id
to 1002
or greater.
For convenience you may wish to set a fixed token instead of the one randomly generated when the scripts are written.
Create a repo2docker configuration file, such as repo2docker_config.py
with
c.ShellScriptEngine.jupyter_token = 'secret123'
and run
repo2docker --config repo2docker_config.py ...