conda termcolor

dev/conda/Dockerfile

@@ -37,7 +37,7 @@ RUN conda config --add channels conda-forge --force
 #RUN source activate docker_conda
 
 #Install modules
-RUN conda install -y jupyterlab cartopy rasterio netcdf4 dask f90nml deepdiff xarray plotnine boltons jupyter_contrib_nbextensions
+RUN conda install -y jupyterlab cartopy rasterio netcdf4 dask f90nml deepdiff xarray plotnine boltons jupyter_contrib_nbextensions termcolor
 #RUN conda install -c conda-forge -y --no-update-deps netcdf4 dask f90nml deepdiff xarray
 RUN pip install pytest pytest-datadir-ng 
 RUN pip install wrfhydropy

training/Dockerfile

@@ -16,6 +16,9 @@ RUN rm -r /home/docker/runTimeScripts
 COPY ./entrypoint.sh /.
 RUN chmod 777 /entrypoint.sh
 
+#Get jupyter config
+COPY ./jupyter_notebook_config.py /home/docker/.jupyter/
+
 # Copy in the domain
 COPY --from=domain /home/docker/domain/croton_NY /home/docker/domain/croton_NY
 RUN chmod -R 777 /home/docker/domain/

training/entrypoint.sh

@@ -12,6 +12,22 @@ assetURL=$(echo "$release" | grep "browser_download_url" | cut -d : -f 2,3 | tr
 echo "$assetURL" | wget -qi -
 tar -xf wrf_hydro_nwm_public-*.tar.gz
 rm wrf_hydro_nwm_public-*.tar.gz
+mv wrf_hydro_nwm_public-* wrf_hydro_nwm_public
 echo "Retrieved the following release: $version"
 
-jupyter notebook --ip 0.0.0.0 --no-browser
+jupyter notebook --ip 0.0.0.0 --no-browser &> /dev/null &
+
+
+echo
+echo -e "\e[0;49;32m-----------------------------------\e[0m"
+echo -e "\e[7;49;32mTraining Jupyter notebook server running\e[0m"
+echo
+echo "Open your browser to the following address to access notebooks"
+echo "localhost:8888"
+echo
+echo "The password to login is 'nwmtraining'"
+echo 
+echo "Type ctrl-C then y to shut down container." 
+echo "NOTE ALL WORK WILL BE LOST UNLESS copied out of the container"
+
+sleep infinity