How to create a docker image that has conda installed

While working at coiled, I came across the need to install conda in a docker image that didn't come pre-packed with conda. When you create a software environment in coiled, we will create a new image based on one of the two:

• Your image if provided by the container argument
• Our base image

In this software environment, we install all the dependencies you specify with the command coiled.create_software_environment. If we provide an image that doesn't have conda installed, then creating the software environment will fail if we try to install a dependency with conda. For example:

pythonCopy
1import coiled
2
3coiled.create_software_environment(name="conda-test", conda=["dask"])

Installing conda in docker

Let's see how you can install conda into a docker image. We will need to create a new Dockerfile and decide which python version we will use. Then we need to go to the miniconda installation page and choose one of the Linux installers for your python version.

Let's go ahead and create our Dockerfile. I will add as many commands inside a single RUN command because that makes the final image smaller.

DockerfileCopy
1FROM <your image without conda>
2
3# Install base utilities
4RUN apt-get update \
5    && apt-get install -y build-essential \
6    && apt-get install -y wget \
7    && apt-get clean \
8    && rm -rf /var/lib/apt/lists/*
9
10# Install miniconda
11ENV CONDA_DIR /opt/conda
12RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh && \
13    /bin/bash ~/miniconda.sh -b -p /opt/conda
14
15# Put conda in path so we can use conda activate
16ENV PATH=$CONDA_DIR/bin:$PATH

We can now build this image. This image will have all the things your original image has plus conda, allowing coiled to install the dependencies without problems.