Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (14.4%) to scientific vocabulary
Repository
GFBio Data Collections
Basic Info
Statistics
- Stars: 1
- Watchers: 12
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
GFBio Data Collection Service
Description
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.
Developer Guide
Settings
Moved to settings.
Basic Commands
Setting Up Your Users
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 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.
Test coverage
To run the tests, check your test coverage, and generate an HTML coverage report:
$ coverage run -m pytest
$ coverage html
$ open htmlcov/index.html
Running tests with pytest
$ pytest
Live reloading and Sass CSS compilation
Moved to Live reloading and SASS compilation.
Celery
This app comes with Celery.
To run a celery worker:
bash
cd collection_service
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
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.
Deployment
The following details how to deploy this application.
Docker
See detailed cookiecutter-django Docker documentation.
Contact Us
Please email any questions and comments to our Service Helpdesk (info@gfbio.org).
Acknowledgements
- 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).
Owner
- Name: GFBio
- Login: gfbio
- Kind: organization
- Location: Germany
- Website: https://www.gfbio.org/
- Repositories: 18
- Profile: https://github.com/gfbio
German Federation for Biological Data
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Franz" given-names: "Linus" orcid: "https://orcid.org/0009-0007-0441-8630" - family-names: "Kostadinov" given-names: "Ivaylo" orcid: "https://orcid.org/0000-0003-4476-6764" - family-names: "Weber" given-names: "Marc" orcid: "https://orcid.org/0000-0003-0694-5817" title: "GFBio Data Collections" abstract: "Central data hub to store and retrieve json for communication and synchronization of user data between different services." type: software doi: 10.5281/zenodo.8316119 keywords: - Data Hub - Biodiversity - Ecology - GFBio license: MIT
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Dependencies
- python ${PYTHON_VERSION} build
- python latest build
- python ${PYTHON_VERSION} build
- python latest build
- python ${PYTHON_VERSION} build
- python latest build
- postgres 14 build
- traefik v2.2.11 build