Skip to main content

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 clone

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 -k gevent --workers=2 'emhub:create_app()' --bind

To initialize the db:

python -m

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 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

Upgrading Database model with Alembic

If we modify the database models, then an update/migration is required.

# Do changes in the model (

alembic revision --autogenerate

# Review the generated script

alembic upgrade head  # or use first the --sql option to see the commands

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

emhub-0.6.2.tar.gz (6.3 MB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page