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Visualisation tools and services for SeaDataCloud

Project description

# SeaDataCloud visualizations

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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/

## Logging Both the start-notebook and the b2drop script use logging to stdout. Both use configurable logging as defined in [b-log](https://github.com/idelsink/b-log) for bash in [python logging](https://docs.python.org/3.6/library/logging.html).

# Credits

This package was created with [Cookiecutter](https://github.com/audreyr/cookiecutter) and the [audreyr/cookiecutter-pypackage](https://github.com/audreyr/cookiecutter-pypackage) project template.

# History

0.1.0 (2018-06-04)

  • First release on PyPI.

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