Web application for monitoring EM results
Project description
Web application for monitoring EM results
Launching the development server
conda create --name=emhub python=3.8
conda activate emhub
cd ~/work/development
git clone git@github.com:3dem/emhub.git
git clone git@github.com:3dem/emhub-testdata.git
cd emhub
pip install -e .
export FLASK_APP=emhub
export FLASK_ENV=development
export EMHUB_TESTDATA=~/work/development/emhub-testdata
export EMHUB_INSTANCE=~/work/development/emhub/instance
# Now launch the built-in Flask development server:
flask run
# or with gunicorn:
gunicorn --workers=2 'emhub:create_app()' --bind 0.0.0.0:8080
To initialize the db:
python -m emhub.data
Running tests
python -m unittest emhub.tests
Publishing the package to PyPI
In order to make the emhub available to install with pip install emhub, we need to:
python install twine restructuredtext-lint
cd emhub
# It might be a good idea to check the README.rst before uploading:
rst-lint README.rst
python setup.py sdist
twine upload dist/emhub-0.0.1a3.tar.gz
Creating a Docker image
A Dockerfile has been include to create Docker images.
cd emhub
docker build . -t emhub
docker run --rm -p 8080:8080 --name=emhub -v $PWD/instance:/instance
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