this article is to describe how to use conda in docker
activate conda
FROM continuumio/miniconda3
WORKDIR /app
# Create the environment:
COPY environment.yml .
RUN conda env create -f environment.yml
# Make RUN commands use the new environment:
SHELL ["conda", "run", "-n", "myenv", "/bin/bash", "-c"]
# Make sure the environment is activated:
RUN echo "Make sure flask is installed:"
RUN python -c "import flask"
# The code to run when container is started:
COPY run.py .
ENTRYPOINT ["conda", "run", "-n", "myenv", "python", "run.py"]
compress docker image
conda-pack is a tool that let’s you package a Conda environment into a standalone environment, with no need for the Conda toolchain
# The build-stage image:
FROM continuumio/miniconda3 AS build
# Install the package as normal:
COPY environment.yml .
RUN conda env create -f environment.yml
# Install conda-pack:
RUN conda install -c conda-forge conda-pack
# Use conda-pack to create a standalone enviornment
# in /venv:
RUN conda-pack -n example -o /tmp/env.tar && \
mkdir /venv && cd /venv && tar xf /tmp/env.tar && \
rm /tmp/env.tar
# We've put venv in same path it'll be in final image,
# so now fix up paths:
RUN /venv/bin/conda-unpack
# The runtime-stage image; we can use Debian as the
# base image since the Conda env also includes Python
# for us.
FROM debian:buster AS runtime
# Copy /venv from the previous stage:
COPY --from=build /venv /venv
# When image is run, run the code with the environment
# activated:
SHELL ["/bin/bash", "-c"]
ENTRYPOINT source /venv/bin/activate && \
python -c "import numpy; print('success!')"
