mirror of
https://github.com/jupyter/docker-stacks.git
synced 2025-10-17 15:02:57 +00:00
New tiny notebook base image
(c) Copyright IBM Corp. 2016
This commit is contained in:
1
Makefile
1
Makefile
@@ -6,6 +6,7 @@
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OWNER:=jupyter
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# need to list these manually because there's a dependency tree
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ALL_STACKS:=minimal-kernel \
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tiny-notebook \
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minimal-notebook \
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r-notebook \
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scipy-notebook \
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@@ -1,25 +1,20 @@
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# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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# Debian Jessie image released 2016 May 03.
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FROM debian@sha256:32a225e412babcd54c0ea777846183c61003d125278882873fb2bc97f9057c51
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FROM jupyter/tiny-notebook
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MAINTAINER Jupyter Project <jupyter@googlegroups.com>
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USER root
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# Install all OS dependencies for fully functional notebook server
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ENV DEBIAN_FRONTEND noninteractive
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RUN apt-get update && apt-get install -yq --no-install-recommends \
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git \
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vim \
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jed \
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emacs \
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wget \
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build-essential \
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python-dev \
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ca-certificates \
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bzip2 \
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unzip \
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libsm6 \
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pandoc \
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@@ -28,79 +23,9 @@ RUN apt-get update && apt-get install -yq --no-install-recommends \
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texlive-fonts-extra \
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texlive-fonts-recommended \
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texlive-generic-recommended \
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sudo \
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locales \
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libxrender1 \
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&& apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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RUN echo "en_US.UTF-8 UTF-8" > /etc/locale.gen && \
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locale-gen
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# Install Tini
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RUN wget --quiet https://github.com/krallin/tini/releases/download/v0.9.0/tini && \
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echo "faafbfb5b079303691a939a747d7f60591f2143164093727e870b289a44d9872 *tini" | sha256sum -c - && \
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mv tini /usr/local/bin/tini && \
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chmod +x /usr/local/bin/tini
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# Configure environment
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ENV CONDA_DIR /opt/conda
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ENV PATH $CONDA_DIR/bin:$PATH
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ENV SHELL /bin/bash
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ENV NB_USER jovyan
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ENV NB_UID 1000
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ENV LC_ALL en_US.UTF-8
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ENV LANG en_US.UTF-8
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ENV LANGUAGE en_US.UTF-8
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# Create jovyan user with UID=1000 and in the 'users' group
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RUN useradd -m -s /bin/bash -N -u $NB_UID $NB_USER && \
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mkdir -p /opt/conda && \
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chown jovyan /opt/conda
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USER jovyan
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# Setup jovyan home directory
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RUN mkdir /home/$NB_USER/work && \
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mkdir /home/$NB_USER/.jupyter && \
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mkdir /home/$NB_USER/.local && \
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echo "cacert=/etc/ssl/certs/ca-certificates.crt" > /home/$NB_USER/.curlrc
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# Install conda as jovyan
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RUN cd /tmp && \
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mkdir -p $CONDA_DIR && \
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wget --quiet https://repo.continuum.io/miniconda/Miniconda3-3.19.0-Linux-x86_64.sh && \
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echo "9ea57c0fdf481acf89d816184f969b04bc44dea27b258c4e86b1e3a25ff26aa0 *Miniconda3-3.19.0-Linux-x86_64.sh" | sha256sum -c - && \
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/bin/bash Miniconda3-3.19.0-Linux-x86_64.sh -f -b -p $CONDA_DIR && \
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rm Miniconda3-3.19.0-Linux-x86_64.sh && \
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$CONDA_DIR/bin/conda install --quiet --yes conda==3.19.1 && \
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$CONDA_DIR/bin/conda config --system --add channels conda-forge && \
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conda clean -tipsy
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# Install Jupyter notebook as jovyan
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RUN conda install --quiet --yes \
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'notebook=4.2*' \
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terminado \
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&& conda clean -tipsy
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# Install JupyterHub to get the jupyterhub-singleuser startup script
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RUN pip install 'jupyterhub==0.5'
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USER root
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# Configure container startup as root
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EXPOSE 8888
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WORKDIR /home/$NB_USER/work
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ENTRYPOINT ["tini", "--"]
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CMD ["start-notebook.sh"]
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# Add local files as late as possible to avoid cache busting
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# Start notebook server
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COPY start-notebook.sh /usr/local/bin/
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# Start single-user notebook server for use with JupyterHub
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COPY start-singleuser.sh /usr/local/bin/
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COPY jupyter_notebook_config.py /home/$NB_USER/.jupyter/
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RUN chown -R $NB_USER:users /home/$NB_USER/.jupyter
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# Switch back to jovyan to avoid accidental container runs as root
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USER jovyan
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@@ -2,9 +2,11 @@
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# Minimal Jupyter Notebook Stack
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Small image for working in the notebook and installing your own libraries
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## What it Gives You
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* Jupyter Notebook 4.2.x
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* Fully-functional Jupyter Notebook 4.2.x
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* Conda Python 3.x
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* No preinstalled scientific computing packages
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* Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda`
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2
tiny-notebook/.dockerignore
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2
tiny-notebook/.dockerignore
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# Documentation
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README.md
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89
tiny-notebook/Dockerfile
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89
tiny-notebook/Dockerfile
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# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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# Debian Jessie image released 2016 May 03.
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FROM debian@sha256:32a225e412babcd54c0ea777846183c61003d125278882873fb2bc97f9057c51
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MAINTAINER Jupyter Project <jupyter@googlegroups.com>
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USER root
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# Install all OS dependencies for notebook server that starts but lacks all
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# features (e.g., download as all possible file formats)
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ENV DEBIAN_FRONTEND noninteractive
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RUN apt-get update && apt-get install -yq --no-install-recommends \
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wget \
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bzip2 \
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ca-certificates \
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sudo \
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locales \
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&& apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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RUN echo "en_US.UTF-8 UTF-8" > /etc/locale.gen && \
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locale-gen
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# Install Tini
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RUN wget --quiet https://github.com/krallin/tini/releases/download/v0.9.0/tini && \
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echo "faafbfb5b079303691a939a747d7f60591f2143164093727e870b289a44d9872 *tini" | sha256sum -c - && \
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mv tini /usr/local/bin/tini && \
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chmod +x /usr/local/bin/tini
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# Configure environment
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ENV CONDA_DIR /opt/conda
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ENV PATH $CONDA_DIR/bin:$PATH
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ENV SHELL /bin/bash
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ENV NB_USER jovyan
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ENV NB_UID 1000
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ENV LC_ALL en_US.UTF-8
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ENV LANG en_US.UTF-8
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ENV LANGUAGE en_US.UTF-8
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# Create jovyan user with UID=1000 and in the 'users' group
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RUN useradd -m -s /bin/bash -N -u $NB_UID $NB_USER && \
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mkdir -p /opt/conda && \
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chown jovyan /opt/conda
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USER jovyan
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# Setup jovyan home directory
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RUN mkdir /home/$NB_USER/work && \
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mkdir /home/$NB_USER/.jupyter && \
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mkdir /home/$NB_USER/.local && \
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echo "cacert=/etc/ssl/certs/ca-certificates.crt" > /home/$NB_USER/.curlrc
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# Install conda as jovyan
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RUN cd /tmp && \
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mkdir -p $CONDA_DIR && \
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wget --quiet https://repo.continuum.io/miniconda/Miniconda3-3.19.0-Linux-x86_64.sh && \
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echo "9ea57c0fdf481acf89d816184f969b04bc44dea27b258c4e86b1e3a25ff26aa0 *Miniconda3-3.19.0-Linux-x86_64.sh" | sha256sum -c - && \
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/bin/bash Miniconda3-3.19.0-Linux-x86_64.sh -f -b -p $CONDA_DIR && \
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rm Miniconda3-3.19.0-Linux-x86_64.sh && \
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$CONDA_DIR/bin/conda install --quiet --yes conda==3.19.1 && \
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$CONDA_DIR/bin/conda config --system --add channels conda-forge && \
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conda clean -tipsy
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# Install Jupyter notebook as jovyan
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RUN conda install --quiet --yes \
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'notebook=4.2*' \
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&& conda clean -tipsy
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# Install JupyterHub to get the jupyterhub-singleuser startup script
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RUN pip install 'jupyterhub==0.5'
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USER root
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# Configure container startup as root
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EXPOSE 8888
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WORKDIR /home/$NB_USER/work
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ENTRYPOINT ["tini", "--"]
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CMD ["start-notebook.sh"]
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# Add local files as late as possible to avoid cache busting
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COPY start-notebook.sh /usr/local/bin/
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COPY start-singleuser.sh /usr/local/bin/
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COPY jupyter_notebook_config.py /home/$NB_USER/.jupyter/
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RUN chown -R $NB_USER:users /home/$NB_USER/.jupyter
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# Switch back to jovyan to avoid accidental container runs as root
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USER jovyan
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63
tiny-notebook/README.md
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63
tiny-notebook/README.md
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@@ -0,0 +1,63 @@
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# Tiny Jupyter Notebook Stack
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Small base image for defining your own stack
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## What it Gives You
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* Minimally-functional Jupyter Notebook 4.2.x
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* Conda Python 3.x
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* No preinstalled scientific computing packages
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* Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda`
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* [tini](https://github.com/krallin/tini) as the container entrypoint and [start-notebook.sh](./start-notebook.sh) as the default command
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* A [start-singleuser.sh](../minimal-notebook/start-singleuser.sh) script for use as an alternate command that runs a single-user instance of the Notebook server, as required by [JupyterHub](#JupyterHub)
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* Options for HTTPS, password auth, and passwordless `sudo`
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## Basic Use
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The following command starts a container with the Notebook server listening for HTTP connections on port 8888 without authentication configured.
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```
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docker run -d -p 8888:8888 jupyter/tiny-notebook
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```
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## Notebook Options
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You can pass [Jupyter command line options](http://jupyter.readthedocs.org/en/latest/config.html#command-line-arguments) through the [`start-notebook.sh` command](https://github.com/jupyter/docker-stacks/blob/master/minimal-notebook/start-notebook.sh#L15) when launching the container. For example, to set the base URL of the notebook server you might do the following:
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```
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docker run -d -p 8888:8888 jupyter/minimal-notebook start-notebook.sh --NotebookApp.base_url=/some/path
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```
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You can sidestep the `start-notebook.sh` script entirely by specifying a command other than `start-notebook.sh`. If you do, the `NB_UID` and `GRANT_SUDO` features documented below will not work. See the Docker Options section for details.
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## Docker Options
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You may customize the execution of the Docker container and the Notebook server it contains with the following optional arguments.
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* `-e PASSWORD="YOURPASS"` - Configures Jupyter Notebook to require the given password. Should be conbined with `USE_HTTPS` on untrusted networks.
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* `-e USE_HTTPS=yes` - Configures Jupyter Notebook to accept encrypted HTTPS connections. If a `pem` file containing a SSL certificate and key is not provided (see below), the container will generate a self-signed certificate for you.
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* `-e NB_UID=1000` - Specify the uid of the `jovyan` user. Useful to mount host volumes with specific file ownership. For this option to take effect, you must run the container with `--user root`. (The `start-notebook.sh` script will `su jovyan` after adjusting the user id.)
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* `-e GRANT_SUDO=yes` - Gives the `jovyan` user passwordless `sudo` capability. Useful for installing OS packages. For this option to take effect, you must run the container with `--user root`. (The `start-notebook.sh` script will `su jovyan` after adding `jovyan` to sudoers.) **You should only enable `sudo` if you trust the user or if the container is running on an isolated host.**
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* `-v /some/host/folder/for/work:/home/jovyan/work` - Host mounts the default working directory on the host to preserve work even when the container is destroyed and recreated (e.g., during an upgrade).
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* `-v /some/host/folder/for/server.pem:/home/jovyan/.local/share/jupyter/notebook.pem` - Mounts a SSL certificate plus key for `USE_HTTPS`. Useful if you have a real certificate for the domain under which you are running the Notebook server.
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## Conda Environment
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The default Python 3.x [Conda environment](http://conda.pydata.org/docs/using/envs.html) resides in `/opt/conda`. The commands `ipython`, `python`, `pip`, `easy_install`, and `conda` (among others) are available in this environment.
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## JupyterHub
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[JupyterHub](https://jupyterhub.readthedocs.org) requires a single-user instance of the Jupyter Notebook server per user. To use this stack with JupyterHub and [DockerSpawner](https://github.com/jupyter/dockerspawner), you must specify the container image name and override the default container run command in your `jupyterhub_config.py`:
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```python
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# Spawn user containers from this image
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c.DockerSpawner.container_image = 'jupyter/minimal-notebook'
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# Have the Spawner override the Docker run command
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c.DockerSpawner.extra_create_kwargs.update({
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'command': '/usr/local/bin/start-singleuser.sh'
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})
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```
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0
minimal-notebook/start-notebook.sh → tiny-notebook/start-notebook.sh
Executable file → Normal file
0
minimal-notebook/start-notebook.sh → tiny-notebook/start-notebook.sh
Executable file → Normal file
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