Collection service is provided by GFBio e.V. and is a central data hub to store and retrieve json for communication and synchronization of user data between different services.
It provides a Rest API for the backends of the connecting Servers to store or retrieve json-data. Each server gets its own secret key for secure retrieval/upload. Therefore the API is required to be accessed from the backends of the using servers.
Moved to settings.
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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.
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To create a 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.
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 collection_service
celery -A config.celery_app worker -l infoPlease 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 set up 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.
Please email any questions and comments to our Service Helpdesk ([email protected]).
- This work was supported by the German Research Foundation (DFG) within the project “Establishment of the National Research Data Infrastructure (NFDI)” in the consortium NFDI4Biodiversity (project number 442032008).