magican/geospatial-modeling-course-jupyter

tmpnb runtime and Jupyter Notebooks for NCSU Geospatial Modeling and Analysis course

tmpnb runtime and Jupyter Notebooks for NCSU Geospatial Modeling and Analysis course

Prepare GRASS GIS image

Build it to have it locally:

docker build -t grass-gis-notebook github.com/wenzeslaus/geospatial-modeling-course-jupyter

In case you plan to modify the code, first download it and then build it:

docker build -t grass-gis-notebook .

Run it to test it:

docker run -it --rm -p 8888:8888 grass-gis-notebook

Run tmpnb

Generate tokens:

export TOKEN=$( head -c 30 /dev/urandom | xxd -p )
export USER_TOKEN=$( head -c 30 /dev/urandom | xxd -p )
echo $USER_TOKEN

Run the proxy:

docker run --net=host -d -e CONFIGPROXY_AUTH_TOKEN=$TOKEN --name=proxy \
    jupyter/configurable-http-proxy --default-target http://127.0.0.1:9999

Run tmpnb:

docker run --net=host -d -e CONFIGPROXY_AUTH_TOKEN=$TOKEN --name=tmpnb \
    -v /var/run/docker.sock:/docker.sock jupyter/tmpnb \
    python orchestrate.py --log-to-stderr --logging=debug \
    --use-tokens=False --image='grass-gis-notebook' \
    --command="start-notebook.sh \"--NotebookApp.base_url={base_path} --ip=0.0.0.0 --port {port} --NotebookApp.trust_xheaders=True --NotebookApp.token=$USER_TOKEN\""

Generate the notebooks from HTML

COURSE_DIR=".../geospatial-modeling-course"
CONVERT_SCRIPT=".../doc2nb.py"
for F in $COURSE_DIR/grass/*.html;
do
    python $CONVERT_SCRIPT \
        --lang bash \
        --grass grass \
        --gisdbase "/home/jovyan/grassdata" \
        --location "nc_spm_08_grass7" --mapset "user1"\
        $F `basename -s .html $F`.ipynb;
done;
for F in $COURSE_DIR/grass/*.html;
do
    python $CONVERT_SCRIPT \
        --lang python \
        --grass grass \
        --gisdbase "/home/jovyan/grassdata" \
        --location "nc_spm_08_grass7" --mapset "user1"\
        $F `basename -s .html $F`_python.ipynb;
done;