Files
docker-stacks/base-notebook/Dockerfile
Sebastian Reuße fdb247ec0c Make use of available environment variables
base-notebook defines environment variables for the Conda install path and the
notebook user. However, in some instances, these locations were still hardcoded.
Let’s use the variables instead.
2016-06-28 11:31:24 +02:00

91 lines
2.9 KiB
Docker

# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
# Debian Jessie image released 2016 May 03.
FROM debian@sha256:32a225e412babcd54c0ea777846183c61003d125278882873fb2bc97f9057c51
MAINTAINER Jupyter Project <jupyter@googlegroups.com>
USER root
# Install all OS dependencies for notebook server that starts but lacks all
# features (e.g., download as all possible file formats)
ENV DEBIAN_FRONTEND noninteractive
RUN apt-get update && apt-get install -yq --no-install-recommends \
wget \
bzip2 \
ca-certificates \
sudo \
locales \
&& apt-get clean && \
rm -rf /var/lib/apt/lists/*
RUN echo "en_US.UTF-8 UTF-8" > /etc/locale.gen && \
locale-gen
# Install Tini
RUN wget --quiet https://github.com/krallin/tini/releases/download/v0.9.0/tini && \
echo "faafbfb5b079303691a939a747d7f60591f2143164093727e870b289a44d9872 *tini" | sha256sum -c - && \
mv tini /usr/local/bin/tini && \
chmod +x /usr/local/bin/tini
# Configure environment
ENV CONDA_DIR /opt/conda
ENV PATH $CONDA_DIR/bin:$PATH
ENV SHELL /bin/bash
ENV NB_USER jovyan
ENV NB_UID 1000
ENV HOME /home/$NB_USER
ENV LC_ALL en_US.UTF-8
ENV LANG en_US.UTF-8
ENV LANGUAGE en_US.UTF-8
# Create jovyan user with UID=1000 and in the 'users' group
RUN useradd -m -s /bin/bash -N -u $NB_UID $NB_USER && \
mkdir -p $CONDA_DIR && \
chown $NB_USER $CONDA_DIR
USER $NB_USER
# Setup jovyan home directory
RUN mkdir /home/$NB_USER/work && \
mkdir /home/$NB_USER/.jupyter && \
mkdir -p -m 700 /home/$NB_USER/.local/share/jupyter && \
echo "cacert=/etc/ssl/certs/ca-certificates.crt" > /home/$NB_USER/.curlrc
# Install conda as jovyan
RUN cd /tmp && \
mkdir -p $CONDA_DIR && \
wget --quiet https://repo.continuum.io/miniconda/Miniconda3-3.19.0-Linux-x86_64.sh && \
echo "9ea57c0fdf481acf89d816184f969b04bc44dea27b258c4e86b1e3a25ff26aa0 *Miniconda3-3.19.0-Linux-x86_64.sh" | sha256sum -c - && \
/bin/bash Miniconda3-3.19.0-Linux-x86_64.sh -f -b -p $CONDA_DIR && \
rm Miniconda3-3.19.0-Linux-x86_64.sh && \
$CONDA_DIR/bin/conda install --quiet --yes conda==3.19.1 && \
$CONDA_DIR/bin/conda config --system --add channels conda-forge && \
conda clean -tipsy
# Install Jupyter notebook as jovyan
RUN conda install --quiet --yes \
'notebook=4.2*' \
&& conda clean -tipsy
# Install JupyterHub to get the jupyterhub-singleuser startup script
RUN pip --no-cache-dir install 'jupyterhub==0.5'
USER root
# Configure container startup as root
EXPOSE 8888
WORKDIR /home/$NB_USER/work
ENTRYPOINT ["tini", "--"]
CMD ["start-notebook.sh"]
# Add local files as late as possible to avoid cache busting
COPY start-notebook.sh /usr/local/bin/
COPY start-singleuser.sh /usr/local/bin/
COPY jupyter_notebook_config.py /home/$NB_USER/.jupyter/
RUN chown -R $NB_USER:users /home/$NB_USER/.jupyter
# Switch back to jovyan to avoid accidental container runs as root
USER $NB_USER