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# An incomplete base Docker image for running JupyterHub
#
# Add your configuration to create a complete derivative Docker image.
#
# Include your configuration settings by starting with one of two options:
#
# Option 1:
#
# FROM jupyterhub/jupyterhub:latest
#
# And put your configuration file jupyterhub_config.py in /srv/jupyterhub/jupyterhub_config.py.
#
# Option 2:
#
# Or you can create your jupyterhub config and database on the host machine, and mount it with:
#
# docker run -v $PWD:/srv/jupyterhub -t jupyterhub/jupyterhub
#
# NOTE
# If you base on jupyterhub/jupyterhub-onbuild
# your jupyterhub_config.py will be added automatically
# from your docker directory.
FROM ubuntu:18.04
LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
# install nodejs, utf8 locale, set CDN because default httpredir is unreliable
ENV DEBIAN_FRONTEND noninteractive
RUN apt-get -y update && \
apt-get -y upgrade && \
apt-get -y install wget git bzip2 && \
apt-get purge && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
ENV LANG C.UTF-8
# install Python + NodeJS with conda
RUN wget -q https://repo.continuum.io/miniconda/Miniconda3-4.5.11-Linux-x86_64.sh -O /tmp/miniconda.sh && \
echo 'e1045ee415162f944b6aebfe560b8fee */tmp/miniconda.sh' | md5sum -c - && \
bash /tmp/miniconda.sh -f -b -p /opt/conda && \
/opt/conda/bin/conda install --yes -c conda-forge \
python=3.6 sqlalchemy tornado jinja2 traitlets requests pip pycurl \
nodejs configurable-http-proxy && \
/opt/conda/bin/pip install --upgrade pip && \
rm /tmp/miniconda.sh
ENV PATH=/opt/conda/bin:$PATH
ADD . /src/jupyterhub
WORKDIR /src/jupyterhub
RUN pip install . && \
rm -rf $PWD ~/.cache ~/.npm
RUN mkdir -p /srv/jupyterhub/
WORKDIR /srv/jupyterhub/
EXPOSE 8000
LABEL org.jupyter.service="jupyterhub"
CMD ["jupyterhub"]