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Local Development

To develop & test repo2docker locally, you need:

Familiarity with using a command line terminal
A computer running macOS / Linux
Some knowledge of git
At least python 3.4
Your favorite text editor
A recent version of Docker Community Edition

Clone the repository

First, you need to get a copy of the repo2docker git repository on your local disk.

git clone https://github.com/jupyter/repo2docker

This will clone repo2docker into a directory called repo2docker. You can make that your current directory with cd repo2docker.

Set up local virtual environment

After cloning the repository (or your fork of the repo), you should set up an isolated environment to install libraries required for running / developing repo2docker. There are many ways to do this, and a virtual environment is one of them.

python3 -m venv .
source bin/activate
pip3 install -e .
pip3 install -r dev-requirements.txt

This should install all the libraries required for testing & running repo2docker!

Verify that docker is installed and running

If you do not already have Docker, you should be able to download and install it for your operating system using the links from the official website. After you have installed it, you can verify that it is working by running the following commands:

docker version

It should output something like:

Client:
 Version:      17.09.0-ce
 API version:  1.32
 Go version:   go1.8.3
 Git commit:   afdb6d4
 Built:        Tue Sep 26 22:42:45 2017
 OS/Arch:      linux/amd64

Server:
 Version:      17.09.0-ce
 API version:  1.32 (minimum version 1.12)
 Go version:   go1.8.3
 Git commit:   afdb6d4
 Built:        Tue Sep 26 22:41:24 2017
 OS/Arch:      linux/amd64
 Experimental: false

Then you are good to go!

Running tests

We have a lot of tests for various cases supported by repo2docker in the tests/ subdirectory. These use py.test.

You can run all the tests with:

py.test -s tests/*

If you want to run a specific test, you can do so with:

py.test -s tests/<path-to-test>

Updating libraries installed for all repos

For both the conda and virtualenv base environments, we install specific pinned versions of all dependencies. We explicitly list the dependencies we want, then freeze them at commit time to explicitly list all the transitive dependencies at current versions. This way, we know that all dependencies will have the exact same version installed at all times.

If you update a library in the base environment, you need to update it for both the virtualenv and conda environments before submitting a PR.

Virtualenv dependencies

There are two files related to virtualenv dependencies:

repo2docker/buildpacks/python/requirements.txt

Contains list of packages to install in Python3 virtualenvs, which are the default. This should be where all Notebook versions & notebook extensions (such as JupyterLab / nteract) go.
repo2docker/buildpacks/python/requirements2.txt

Contains list of packages to install in Python2 virtualenvs, which can be specifically requested by users. This only needs IPyKernel and kernel related libraries - Notebook / Notebook Extension need not be installed here.

Once you edit either of these files to add a new package / bump version on an existing package, you should then run ./repo2docker/buildpacks/python/freeze.bash. This script will resolve dependencies and write them to the respective .frozen.txt files. You will need Python3 and Python2 with virtualenv to run the script.

All the .txt files in repo2docker/buildpacks/python/ should be comitted to git.

Conda dependencies

There are two files related to conda dependencies:

repo2docker/buildpacks/conda/environment.yml

Contains list of packages to install in Python3 conda environments, which are the default. This should be where all Notebook versions & notebook extensions (such as JupyterLab / nteract) go.
repo2docker/buildpacks/conda/environment.py-2.7.yml

Contains list of packages to install in Python2 conda environments, which can be specifically requested by users. This only needs IPyKernel and kernel related libraries - Notebook / Notebook Extension need not be installed here.

Once you edit either of these files to add a new package / bump version on an existing package, you should then run ./repo2docker/buildpacks/conda/freeze.py. This script will resolve dependencies and write them to the respective .frozen.yml files. You will need docker installed to run this script.

The following files should be comitted to git:

repo2docker/buildpacks/conda/environment.frozen.yml
repo2docker/buildpacks/conda/environment.py-2.7.yml
repo2docker/buildpacks/conda/environment.py-3.6.frozen.yml
repo2docker/buildpacks/conda/environment.py-2.7.frozen.yml
repo2docker/buildpacks/conda/environment.py-3.5.frozen.yml
repo2docker/buildpacks/conda/environment.yml

Make a Pull Request

Once you've made the commit, please make a Pull Request to the jupyter/repo2docker repository, with a description of what versions were bumped / what new packages were added and why.

Release Process

We try to make a release of repo2docker every few months if possible.

Access

To release repo2docker, you will need proper access credentials prior to beginning the process.

Access to the PyPI package for repo2docker
Access to push tags to the jupyter/repo2docker repository
Acess to push images to dockerhub on jupyter/repo2docker

If you do not have access to any of these, please contact a current maintainer of the project!

Steps

Make a PR bumping version number of repo2docker in the setup.py file (like https://github.com/jupyter/repo2docker/pull/221), get it merged, and make sure your local checkout is the same as master on GitHub.
In your environment, install packages needed to make releases:
```
pip install wheel twine
```
Clean out the dist directory and then build the wheel and tar.gz files:
```
rm -f dist/*
python setup.py sdist bdist_wheel
```
Once tests pass, time to upload!
```
twine upload dist/*
```
This might ask for your PyPI username and password.

Make a git tag and push it to GitHub:

git tag -a v<version>
git push official --tags

Tag and push a docker image:

docker build -t jupyter/repo2docker:v<version> .
docker push jupyter/repo2docker:v<version>

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