Dockerfile.old

# derived mainly from https://github.com/jupyter/docker-stacks/tree/master/scipy-notebook
FROM jupyter/scipy-notebook

#original LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
LABEL maintainer="Bryan Herger <bherger@users.sf.net>"

USER root

# pre-requisites
RUN apt-get update && \
    apt-get install -y --no-install-recommends \
    fonts-dejavu \
    tzdata \
    less \
    gfortran \
    gcc && apt-get clean && \
    rm -rf /var/lib/apt/lists/*

# libav-tools for matplotlib anim
#RUN apt-get update && \
#    apt-get install -y --no-install-recommends libav-tools && \
#    apt-get clean && \
#    rm -rf /var/lib/apt/lists/*
# UPDATE: apparently we need ffmpeg now
RUN apt-get update && \
    apt-get install -y --no-install-recommends ffmpeg && \
    apt-get clean && \
    rm -rf /var/lib/apt/lists/*

USER $NB_UID

# Install Python 3 packages
# Remove pyqt and qt pulled in for matplotlib since we're only ever going to
# use notebook-friendly backends in these images
RUN conda install --quiet --yes \
    'nomkl' \
    'ipywidgets=7.1*' \
    'pandas=0.19*' \
    'numexpr=2.6*' \
    'matplotlib=2.0*' \
    'scipy=0.19*' \
    'seaborn=0.7*' \
    'scikit-learn=0.18*' \
    'scikit-image=0.12*' \
    'sympy=1.0*' \
    'cython=0.25*' \
    'patsy=0.4*' \
    'statsmodels=0.8*' \
    'cloudpickle=0.2*' \
    'dill=0.2*' \
    'numba=0.31*' \
    'bokeh=0.12*' \
    'sqlalchemy=1.1*' \
    'hdf5=1.8.17' \
    'h5py=2.6*' \
    'vincent=0.4.*' \
    'beautifulsoup4=4.5.*' \
    'protobuf=3.*' \
    'xlrd'  && \
    conda remove --quiet --yes --force qt pyqt && \
    conda clean -tipsy && \
    # Activate ipywidgets extension in the environment that runs the notebook server
    jupyter nbextension enable --py widgetsnbextension --sys-prefix && \
    # Also activate ipywidgets extension for JupyterLab
    # jupyter labextension install @jupyter-widgets/jupyterlab-manager@0.33 && \
    npm cache clean && \
    rm -rf $CONDA_DIR/share/jupyter/lab/staging && \
    rm -rf /home/$NB_USER/.cache/yarn && \
    rm -rf /home/$NB_USER/.node-gyp && \
    fix-permissions $CONDA_DIR && \
    fix-permissions /home/$NB_USER

# Install facets which does not have a pip or conda package at the moment
#RUN cd /tmp && \
#    git clone https://github.com/PAIR-code/facets.git && \
#    cd facets && \
#    jupyter nbextension install facets-dist/ --sys-prefix && \
#    rm -rf facets && \
#    fix-permissions $CONDA_DIR && \
#    fix-permissions /home/$NB_USER

# Import matplotlib the first time to build the font cache.
ENV XDG_CACHE_HOME /home/$NB_USER/.cache/
# RUN MPLBACKEND=Agg python -c "import matplotlib.pyplot" && fix-permissions /home/$NB_USER
RUN MPLBACKEND=Agg python -c "import matplotlib.pyplot"

USER $NB_UID

# setup Vertica client
RUN conda install --yes vertica-python
RUN pip install plotly # Plotly graphing library
RUN pip install dash # The core dash backend
RUN pip install dash-renderer # The dash front-end
RUN pip install dash-html-components # HTML components
RUN pip install dash-core-components # Supercharged components
RUN mkdir -p /home/jovyan/vertica-example
ADD example /home/jovyan/vertica-example/
ADD README.md /home/jovyan/
# RUN mkdir -p /home/jovyan/datasets
# ADD datasets /home/jovyan/datasets/
RUN mkdir -p /opt/conda/lib/python3.6/site-packages/vertica_ml_python
ADD vertica_ml_python /opt/conda/lib/python3.6/site-packages/vertica_ml_python/
RUN jupyter notebook --generate-config
RUN echo c.NotebookApp.password = u\'sha1:5f0645e79ad1:0cb5b7f88fd7fda0ed96691c1336d0d13b2852a4\' >> /home/jovyan/.jupyter/jupyter_notebook_config.py

# setup Superset
RUN pip install superset
RUN fabmanager create-admin --app superset
RUN superset db upgrade
RUN superset load_examples
RUN superset init

RUN superset runserver -d -p 18888