Dockerfile

# 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/Miniconda3-4.4.10-Linux-x86_64.sh -O /tmp/miniconda.sh  && \
    echo 'bec6203dbb2f53011e974e9bf4d46e93 */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"]