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Merge pull request #209 from parente/tiny-notebook
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Base notebook stack
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parente committed May 27, 2016
2 parents dc6ae8b + a2fccc1 commit f302823
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1 change: 1 addition & 0 deletions Makefile
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OWNER:=jupyter
# need to list these manually because there's a dependency tree
ALL_STACKS:=minimal-kernel \
base-notebook \
minimal-notebook \
r-notebook \
scipy-notebook \
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -25,7 +25,7 @@ If this is your first time using Docker or any of the Jupyter projects, do the f

Here's a diagram of the `FROM` relationships between all of the images defined in this project:

[![Image inheritance diagram](internal/inherit-diagram.png)](http://interactive.blockdiag.com/?compression=deflate&src=eJyFzDELwjAQhuG9vyJ0trtYKnZzdxSRS3OVM9dcSOJQxf9u41BoEVzf77nTLJ01BDf1KpSSQOgSJBKnGuUlpACU6mkx2MOD07UXlyI9cZq3ubfqzKCRm9KgJnC7O8ZIeDgd2_JSF19R7dVAjgbgyklCLWI3c7EYHHJ-tTb5Lnbkx7lktSzZGEgwVXQdLuSvf-Gv8GP0EOzCrVt2wFyt5fsDQc9zBA)
[![Image inheritance diagram](internal/inherit-diagram.png)](http://interactive.blockdiag.com/?compression=deflate&src=eJyFzDEPwiAQhuG9v4J0lt3Y1NjN3dEYc5SrOaEcARyq8b9bTDrQpev7PXfKcm80wUN8KiE4ELoEidiJVngOKQClZl40DvCy6T6wS5HeOM_73DtxtaDQtrVGReAOT4yR8HQ5d_Wtqf5CHoWCiNJxQsVsdmIkRyNYaTA4tPlPAfLFQpaW0bplF3vyU6HKko2GBHNF1-Pmv7Ap_BQ9BFO4dcsOrJVr-f0B5CZ-hg)

## Stacks, Tags, Versioning, and Progress

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2 changes: 2 additions & 0 deletions base-notebook/.dockerignore
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# Documentation
README.md
89 changes: 89 additions & 0 deletions base-notebook/Dockerfile
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# 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 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 /opt/conda && \
chown jovyan /opt/conda

USER jovyan

# Setup jovyan home directory
RUN mkdir /home/$NB_USER/work && \
mkdir /home/$NB_USER/.jupyter && \
mkdir /home/$NB_USER/.local && \
echo "cacert=/etc/ssl/certs/ca-certificates.crt" > /home/$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 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 jovyan
63 changes: 63 additions & 0 deletions base-notebook/README.md
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![docker pulls](https://img.shields.io/docker/pulls/jupyter/base-notebook.svg) ![docker stars](https://img.shields.io/docker/stars/jupyter/base-notebook.svg)

# Base Jupyter Notebook Stack

Small base image for defining your own stack

## What it Gives You

* Minimally-functional Jupyter Notebook 4.2.x (e.g., no pandoc for document conversion)
* Miniconda Python 3.x
* No preinstalled scientific computing packages
* Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda`
* [tini](https://github.com/krallin/tini) as the container entrypoint and [start-notebook.sh](./start-notebook.sh) as the default command
* 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)
* Options for HTTPS, password auth, and passwordless `sudo`

## Basic Use

The following command starts a container with the Notebook server listening for HTTP connections on port 8888 without authentication configured.

```
docker run -d -p 8888:8888 jupyter/base-notebook
```

## Notebook Options

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:

```
docker run -d -p 8888:8888 jupyter/minimal-notebook start-notebook.sh --NotebookApp.base_url=/some/path
```

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.

## Docker Options

You may customize the execution of the Docker container and the Notebook server it contains with the following optional arguments.

* `-e PASSWORD="YOURPASS"` - Configures Jupyter Notebook to require the given password. Should be conbined with `USE_HTTPS` on untrusted networks.
* `-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.
* `-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.)
* `-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.**
* `-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).
* `-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.

## Conda Environment

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.


## JupyterHub

[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`:

```python
# Spawn user containers from this image
c.DockerSpawner.container_image = 'jupyter/minimal-notebook'

# Have the Spawner override the Docker run command
c.DockerSpawner.extra_create_kwargs.update({
'command': '/usr/local/bin/start-singleuser.sh'
})
```
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77 changes: 1 addition & 76 deletions minimal-notebook/Dockerfile
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# 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
FROM jupyter/base-notebook

MAINTAINER Jupyter Project <jupyter@googlegroups.com>

USER root

# Install all OS dependencies for fully functional notebook server
ENV DEBIAN_FRONTEND noninteractive
RUN apt-get update && apt-get install -yq --no-install-recommends \
git \
vim \
jed \
emacs \
wget \
build-essential \
python-dev \
ca-certificates \
bzip2 \
unzip \
libsm6 \
pandoc \
Expand All @@ -28,79 +23,9 @@ RUN apt-get update && apt-get install -yq --no-install-recommends \
texlive-fonts-extra \
texlive-fonts-recommended \
texlive-generic-recommended \
sudo \
locales \
libxrender1 \
&& 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 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 /opt/conda && \
chown jovyan /opt/conda

USER jovyan

# Setup jovyan home directory
RUN mkdir /home/$NB_USER/work && \
mkdir /home/$NB_USER/.jupyter && \
mkdir /home/$NB_USER/.local && \
echo "cacert=/etc/ssl/certs/ca-certificates.crt" > /home/$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*' \
terminado \
&& conda clean -tipsy

# Install JupyterHub to get the jupyterhub-singleuser startup script
RUN pip 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
# Start notebook server
COPY start-notebook.sh /usr/local/bin/
# Start single-user notebook server for use with JupyterHub
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 jovyan
6 changes: 4 additions & 2 deletions minimal-notebook/README.md
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# Minimal Jupyter Notebook Stack

Small image for working in the notebook and installing your own libraries

## What it Gives You

* Jupyter Notebook 4.2.x
* Conda Python 3.x
* Fully-functional Jupyter Notebook 4.2.x
* Miniconda Python 3.x
* No preinstalled scientific computing packages
* Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda`
* [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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