Updated to reduce image size of minimal kernel

Contribution (c) Copyright IBM Corp. 2016

minimal-kernel/Dockerfile

@@ -8,16 +8,15 @@ 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 \
     wget \
     build-essential \
-    python-dev \
+    python3-dev \
+    python3-pip \
     ca-certificates \
     bzip2 \
     unzip \
     libsm6 \
-    pandoc \
+    python3-zmq \
     sudo \
     && apt-get clean
 
@@ -28,45 +27,30 @@ RUN wget --quiet https://github.com/krallin/tini/releases/download/v0.6.0/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
 
-# Install conda
-RUN mkdir -p $CONDA_DIR && \
-    echo export PATH=$CONDA_DIR/bin:'$PATH' > /etc/profile.d/conda.sh && \
-    wget --quiet https://repo.continuum.io/miniconda/Miniconda3-3.9.1-Linux-x86_64.sh && \
-    echo "6c6b44acdd0bc4229377ee10d52c8ac6160c336d9cdd669db7371aa9344e1ac3 *Miniconda3-3.9.1-Linux-x86_64.sh" | sha256sum -c - && \
-    /bin/bash /Miniconda3-3.9.1-Linux-x86_64.sh -f -b -p $CONDA_DIR && \
-    rm Miniconda3-3.9.1-Linux-x86_64.sh && \
-    $CONDA_DIR/bin/conda install --yes conda==3.14.1
-
 # Create jovyan user with UID=1000 and in the 'users' group
-# Grant ownership over the conda dir and home dir, but stick the group as root.
+# Grant ownership over the home dir, but stick the group as root.
 RUN useradd -m -s /bin/bash -N -u $NB_UID $NB_USER && \
     mkdir /home/$NB_USER/work && \
     mkdir /home/$NB_USER/.jupyter && \
     mkdir /home/$NB_USER/.local && \
-    chown -R $NB_USER:users $CONDA_DIR && \
     chown -R $NB_USER:users /home/$NB_USER
 
 # Install Kernel Gateway
-RUN cd /tmp && \
-    git clone https://github.com/jupyter-incubator/kernel_gateway.git && \
-    cd kernel_gateway && \
-    python setup.py sdist && \
-    pip install dist/jupyter_kernel_gateway-*.tar.gz && \
-    rm -rf /tmp/kernel_gateway
+RUN pip3 install jupyter_kernel_gateway==0.2.0
 
 # Configure container startup
+USER $NB_USER
 EXPOSE 8888
 WORKDIR /home/$NB_USER/work
 ENTRYPOINT ["tini", "--"]
-CMD ["start.sh"]
+CMD ["/usr/local/bin/start-notebook.sh"]
 
 # Add local files as late as possible to avoid cache busting
-COPY start.sh /usr/local/bin/
+USER root
+COPY start-notebook.sh /usr/local/bin/
 COPY jupyter_kernel_gateway_config.py /home/$NB_USER/.jupyter/
 RUN chown -R $NB_USER:users /home/$NB_USER/.jupyter

minimal-kernel/README.md

@@ -2,9 +2,8 @@
 
 ## What it Gives You
 * [Jupyter Kernel Gateway](https://github.com/jupyter-incubator/kernel_gateway) that spawns minimal Jupyter Python kernel
-* Conda Python 3.4.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`
+* Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan`
 * [tini](https://github.com/krallin/tini) as the container entrypoint and [start.sh](./start.sh) as the default command
 * Options for Port and Ip address
 
@@ -22,8 +21,4 @@ docker run -d -p 8888:8888 jupyter/minimal-kernel
 You may customize the execution of the Docker container and the Notebook server it contains with the following optional arguments.
 
 * `-e INTERFACE=10.10.10.10` - Configures Kernel Gateway to listen on the given interface. Defaults to '0.0.0.0', all interfaces, which is appropriate when running using default bridged Docker networking. When using Docker's `--net=host`, you may wish to use this option to specify a particular network interface.
-* `-e PORT=8888` - Configures Kernel Gateway to listen on the given port. Defaults to 8888, which is the port exposed within the Dockerfile for the image. When using Docker's `--net=host`, you may wish to use this option to specify a particular port.
-
-## 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.
+* `-e PORT=8888` - Configures Kernel Gateway to listen on the given port. Defaults to 8888, which is the port exposed within the Dockerfile for the image. When using Docker's `--net=host`, you may wish to use this option to specify a particular port.

minimal-kernel/start-notebook.sh

@@ -3,7 +3,6 @@
 # Change UID of NB_USER to NB_UID if it does not match
 if [ "$NB_UID" != $(id -u $NB_USER) ] ; then
     usermod -u $NB_UID $NB_USER
-    chown -R $NB_UID $CONDA_DIR
 fi
 
 # Enable sudo if requested