######################################################################## # archetypal Dockerfile # License: MIT, see full license in LICENSE.txt # Web: https://github.com/samuelduchesne/archetypal # # Build an image from the dockerfile: # >>> cd ./docker # >>> docker build -t samuelduchese/archetypal . # # Push the built image to hub so others can pull/run it: # >>> docker tag samuelduchesne/archetypal samuelduchesne/archetypal:latest # >>> docker login # >>> docker push samuelduchesne/archetypal # # Run bash in this container and export final conda environment to a yml file: # >>> docker run --rm -it -u 0 --name archetypal -v "$PWD":/home/archetypal/wip samuelduchesne/archetypal /bin/bash # >>> conda env export -n base > /home/archetypal/wip/environment.yml # # Run jupyter lab in this container: # On Linux/MacOs # >>> docker run --rm -it -p 8888:8888 -v "$PWD":/home/archetypal/wip samuelduchesne/archetypal # On Windows (With PowerShell, use ${PWD}) # >>> docker run --rm -it -p 8888:8888 -v %cd%:/home/archetypal/wip samuelduchesne/archetypal # # Stop/delete all local docker containers/images: # >>> docker stop $(docker ps -aq) # >>> docker rm $(docker ps -aq) # >>> docker rmi $(docker images -q) ######################################################################## FROM scottyhardy/docker-wine:latest LABEL maintainer="Samuel Letellier-Duchesne " LABEL url="https://github.com/samuelduchesne/archetypal" LABEL description="archetypal: Retrieve, construct, simulate, and analyse building archetypes" # Get git related dependecies ENV LANG=C.UTF-8 LC_ALL=C.UTF-8 ENV PATH /opt/conda/bin:$PATH RUN apt-get update --fix-missing && \ apt-get install -y wget bzip2 ca-certificates curl git libxml2-dev && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-4.5.11-Linux-x86_64.sh -O ~/miniconda.sh && \ /bin/bash ~/miniconda.sh -b -p /opt/conda && \ rm ~/miniconda.sh && \ /opt/conda/bin/conda clean -tipsy && \ ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \ echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \ echo "conda activate base" >> ~/.bashrc ENV TINI_VERSION v0.16.1 ADD https://github.com/krallin/tini/releases/download/${TINI_VERSION}/tini /usr/bin/tini RUN chmod +x /usr/bin/tini # Add EnergyPlus ENV ENERGYPLUS_VERSION=8.9.0 ENV ENERGYPLUS_SHA=40101eaafd ENV ENERGYPLUS_INSTALL_VERSION=8-9-0 ENV PLATFORM=Linux ENV EXT=sh ENV ENERGYPLUS_DOWNLOAD_BASE_URL=https://github.com/NREL/EnergyPlus/releases/download/v$ENERGYPLUS_VERSION ENV ENERGYPLUS_DOWNLOAD_FILENAME=EnergyPlus-$ENERGYPLUS_VERSION-$ENERGYPLUS_SHA-$PLATFORM-x86_64 ENV ENERGYPLUS_DOWNLOAD_URL=$ENERGYPLUS_DOWNLOAD_BASE_URL/$ENERGYPLUS_DOWNLOAD_FILENAME.$EXT RUN curl -SLO $ENERGYPLUS_DOWNLOAD_URL && \ chmod +x $ENERGYPLUS_DOWNLOAD_FILENAME.$EXT && \ echo "y\r" | ./$ENERGYPLUS_DOWNLOAD_FILENAME.$EXT && \ rm $ENERGYPLUS_DOWNLOAD_FILENAME.$EXT # Add trnsidf COPY ./trnsidf /app/trnsidf # configure conda and install packages in one RUN to keep image tidy RUN git clone --branch=feature/umi --verbose https://github.com/samuelduchesne/archetypal.git && \ cd archetypal && \ conda update -n base conda && \ conda config --append channels conda-forge && \ conda env update -n archetypal -f environment.yml --prune && \ conda install -n archetypal --file requirements-dev.txt && \ conda install --strict-channel-priority --update-all --force-reinstall --yes jupyterlab python-igraph && \ conda clean --yes --all && \ conda info --all && \ conda list && \ echo "source activate archetypal" > ~/.bashrc && \ python setup.py install ENV PATH /opt/conda/envs/archetypal/bin:$PATH # launch notebook in the local working directory that we mount WORKDIR /home/archetypal/wip ENTRYPOINT ["/usr/bin/entrypoint"] # set default command to launch when container is run CMD ["jupyter", "lab", "--ip='0.0.0.0'", "--port=8888", "--no-browser", "--allow-root", "--NotebookApp.token=''", "--NotebookApp.password=''"] # to test, import archetypal and print its version RUN ipython -c "import archetypal; print(archetypal.__version__)"