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Visualizations of ODV files for SeaDataCloud

License: Other

Shell 0.73% JavaScript 1.49% Python 2.47% Makefile 0.08% HTML 0.03% Vue 1.13% Jupyter Notebook 94.07%

sdc-visualization_eobt's Introduction

SeaDataCloud visualizations

pypi

travis docs pyup

Visualisation tools and services for SeaDataCloud

Features

Visualizations of ODV files for SeaDataCloud

build Docker container

docker build -t deltares-jupyter:latest .

run Docker image on port 8888

docker run -d -p 8888:8888 --name deltares-jupyter --privileged --cap-add SYS_ADMIN --device /dev/fuse deltares-jupyter start-notebook.sh --NotebookApp.token='sdc'

mount b2drop in the running Docker container, if needed

docker exec -it deltares-jupyter bash /etc/init.d/mount-b2drop <B2DROP_APP_USERNAME> <B2DROP_APP_PASSWORD> https://b2drop.eudat.eu/remote.php/webdav/

Installation

python setup.py install conda install pillow conda install datetime

Run the visualization app using the dataset.nc

Start the server $ sdc_visualization serve dataset.nc

Look at the API response in http://localhost:5000/api/dataset.

Logging

Both the start-notebook and the b2drop script use logging to stdout. Both use configurable logging as defined in b-log for bash in python logging.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

sdc-visualization_eobt's People

Contributors

cindyvdvries avatar dependabot[bot] avatar giosans avatar ioannami avatar siggyf avatar trellixvulnteam avatar

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