Conda is an alternative package manger to PyPi. It comes with many features that PyPi packaging does not handle well such as including compiled libraries and c dependencies.
First create an account through https://anaconda.org
<https://anaconda.org>. Unlike PyPi there is no test repo to submit
your package to. Anaconda takes a different philosophy where each user
has a collection of packages and jupyter notebooks in their repo. The
approach I will show you does not require that you have
installed on your machine. If you would like to experiment with the
build tool I would recommend pulling the continuum
docker container continuumio/miniconda3. The default
continuumio/anaconda3 docker environment is over 3.5 GB
unzipped. Why are the continuum docker containers so large?
docker pull continuumio/miniconda3 docker run -i -t continuumio/miniconda3 /bin/bash
Once you start the docker container you can do the following steps for
package deployment to conda. These steps will be automated later with
a Gitlab build script. In order to upload packages you will either
need to login to your account via
anaconda login or create an
account token will all account access. I would recommend creating an
account token so that you can revoke access at any time. To create an
account token go to
settings->access on anaconda.org when you are
- conda install anaconda-client setuptools conda-build -y
- python setup.py bdist_conda
- anaconda -t $ANACONDA_TOKEN upload -u $ANACONDA_USERNAME /opt/conda/conda-bld/linux-64/<package>-<version>-<pyversion>.tar.bz2
The first step ensures that all packages are the right version and we
have the command line anaconda tool. Anaconda has it hidden in their
documentation that they have a convenient build tool for python
that does not require a recipe. When running in a conda environment
they have overridden setuptools to include bdist_conda for building
conda packages. The build command will build the package, run tests,
and check that each command created exits. After your package is built
you can now upload to conda. If you are building within a docker
container chances are that their is only one conda build so you can
shorten the upload command to anaconda upload
/opt/conda/conda-bld/linux-64/<package>*.tar.bz2. Otherwise you will
have to chose the build that is provided at the end of the
setup.py bdist_conda output.
From some of my initial tests I was surprised that many packages available on PyPi are not available on conda and thus made the builds fail. These errors are most likely due to me know understanding the conda tools well. If your build succeeded you should see the package listed on https://anaconda.org/<username>.
Since we are all about automation lets make this process automatic on Gitlab!
variables: TWINE_USERNAME: SECURE TWINE_PASSWORD: SECURE TWINE_REPOSITORY_URL: https://test.pypi.org/legacy/ ANACONDA_USERNAME: SECURE ANACONDA_TOKEN: SECURE stages: - deploy deploy_conda: image: continuumio/miniconda3:latest stage: deploy script: - conda install anaconda-client setuptools conda-build -y - python setup.py bdist_conda - anaconda -t $ANACONDA_TOKEN upload -u $ANACONDA_USERNAME /opt/conda/conda-bld/linux-64/pypkgtemp*.tar.bz2 only: - /^v\d+\.\d+\.\d+([abc]\d*)?$/ # PEP-440 compliant version (tags)