(first go to karapace repository and checkout the version you'd like to build)
karapace $ git fetch --tags
karapace $ git checkout 2.1.3
(then add this file)
karapace $ cat conda-environment.yaml
dependencies:
  - python=3.7
(then I downloaded this file: curl https://gitlab.wikimedia.org/repos/data-engineering/workflow_utils/-/raw/main/workflow_utils/Dockerfile.conda-dist > /tmp/Dockerfile.conda-dist and modified it - see below)
docker build -t workflow_utils:conda_dist -f /tmp/Dockerfile.conda-dist .
docker run --mount type=bind,source=(pwd),target=/srv/project workflow_utils:conda_dist

# Installs miniconda and workflow_utils into a conda env in the container.
# This container can then be used to run workflow_utils commands like
# conda-dist.

FROM docker-registry.wikimedia.org/wikimedia-buster AS workflow_utils_install
RUN apt-get update && apt-get install -y wget curl ca-certificates git

# Download our install-miniconda-env bash script to bootstrap a working miniconda environment.
# You can override the version of miniconda and python installed here by setting
# MINICONDA_VERSION and PYTHON_VERSION env variables.
# These must refer to an installer version available at https://repo.anaconda.com/miniconda/
# These versions ARE NOT the versions of conda or python that will be in your conda dist env.
# Those should be controlled by your project in a conda environment.yml file.
#ENV MINICONDA_VERSION=4.10.3
#ENV PYTHON_VERSION=3.7
# TODO: if we can put this built image somewhere, we don't need to download this at build time,
# but can COPY it in from local FS.
RUN wget https://gitlab.wikimedia.org/repos/data-engineering/workflow_utils/-/raw/main/bin/install-miniconda-env -O /srv/install-miniconda-env && chmod 755 /srv/install-miniconda-env

# Installs by default to /srv/miniconda
RUN /srv/install-miniconda-env
# TODO: perhaps parameterize this requirement URL?
# If we could just publish this docker image somewhere,then this should just be the working copy of the repo.
RUN /srv/miniconda/bin/pip install git+https://gitlab.wikimedia.org/repos/data-engineering/workflow_utils.git@main


# A new layer that now only contains the workflow_utils conda env.
# This conda env can be used to run workflow_utils related commands,
# especially conda-dist for automating packing of other projects
# into conda envs.
# FROM docker-registry.wikimedia.org/wikimedia-buster AS workflow_utils_env
# Copy /srv/conda_env from the previous stage.
# In this way we keep only the final conda env
# without any of the build step leftovers.
# COPY --from=workflow_utils_install /srv/miniconda /srv/miniconda


# workflow_utils conda-dist ENTRYPOINT.
# Usage:
#    docker run --mount type=bind,source=$(pwd)/test_project,target=/srv/project workflow_utils:conda_dist
# mount source should be the path to your project dir, which should be mounted at /srv/project
# in the container.
# FROM workflow_utils_env as workflow_utils_conda_dist
# This is needed for conda-dist to find conda CLI.
ENV CONDA_EXE=/srv/miniconda/condabin/conda
SHELL ["/bin/bash", "-c"]
WORKDIR "/srv/project"
ENTRYPOINT /srv/miniconda/bin/conda-dist --dist-env-prefix=/srv/conda_dist_env --dist-env-dest=/srv/project/conda_dist_env.$(date +%Y-%m-%dT%H.%M.%S).tgz /srv/project