Submission services provided by GFBio
License: | MIT |
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Submission services provided by GFBio e.V. and long-term data archival & publication services for Biodiversity, Ecology & Environmental Science. This service enables the users to submit their data for long-term storage in dedicated archives like ENA or PANGAEA and others, without the need of performing single submissions to each of these archives and repositories respectively. Submission can be performed by either using web-based user-interface or a REST API, where the latter is suitable for high-throughput programmatic submissions.
Moved to settings.
To create a normal user account, just go to Sign Up and fill out the form. Once you submit it, you'll see a "Verify Your E-mail Address" page. Go to your console to see a simulated email verification message. Copy the link into your browser. Now the user's email should be verified and ready to go.
To create an superuser account, use this command:
$ python manage.py createsuperuser
For convenience, you can keep your normal user logged in on Chrome and your superuser logged in on Firefox (or similar), so that you can see how the site behaves for both kinds of users.
Running type checks with mypy:
$ mypy gfbio_submissions
To run the tests, check your test coverage, and generate an HTML coverage report:
$ coverage run -m pytest $ coverage html $ open htmlcov/index.html
$ pytest
Moved to Live reloading and SASS compilation.
This app comes with Celery.
To run a celery worker:
cd gfbio_submissions
celery -A config.celery_app worker -l info
Please note: For Celery's import magic to work, it is important where the celery commands are run. If you are in the same folder with manage.py, you should be right.
Sentry is an error logging aggregator service. You can sign up for a free account at https://sentry.io/signup/?code=cookiecutter or download and host it yourself. The system is setup with reasonable defaults, including 404 logging and integration with the WSGI application.
You must set the DSN url in production.
The following details how to deploy this application.
See detailed cookiecutter-django Docker documentation.