This is the pre-MVP repository for experimentation. It is designed to serve as a scratch pad for ideas. There will be no releases and no organized branching / tag strategy. It is a place to incubate and test dj-lmp ideas.
git clone https://github.com/csev/dj-lmp1
cd dj-lmp1
virtualenv .venv
source .venv/bin/activate
pip install django
python -m django --version
# Should be 5.0.1
cp config/settings-sqlite.py config/settings.py
When you come back in,
cd dj-lmp1
source .venv/bin/activate
You can start and run the application as follows
cd dj-lmp1
source .venv/bin/activate
python manage.py makemigrations
python manage.py migrate
python manage.py createsuperuser
python manage.py runserver
Navigate to http://127.0.0.1:8000/admin and log in.
To reset the database:
rm db.sqlite3
rm */migrations/0*
python manage.py makemigrations
...
https://www.1edtech.org/standards/lti
https://www.imsglobal.org/activity/common-cartridge
https://www.imsglobal.org/activity/onerosterlis
As our first data model exercise, we need to think through a hierarchy as shown in 1EdTech OneRoster. At minimum, dj-lmp would want to consume OneRoster - probably we should plan on producing it as well. Once you have the data model, why not?
https://www.imsglobal.org/activity/onerosterlis
This overlaps with LTI in a lot of areas - in particular in Roles:
https://www.imsglobal.org/spec/lti/v1p3/#standardvocabs
An excellent LTI 1.3 library from which much inspiration and code will be taken.
https://github.com/dmitry-viskov/pylti1.3/
Crypto library (depends on cryptography):
https://github.com/latchset/jwcrypto/ https://jwcrypto.readthedocs.io/en/latest/ https://github.com/pyca/cryptography
The LMS that is best at Hierachy is D2L. D2L was influential in the creation of OneRoster.
https://community.d2l.com/brightspace/kb/articles/5399-about-org-unit-type-editor
https://community.d2l.com/brightspace/kb/articles/4529-organizational-units-data-sets
https://docs.valence.desire2learn.com/res/orgunit.html
We need to build a hierarchical data model:
https://www.slideshare.net/billkarwin/models-for-hierarchical-data
Dr. Chuck built an efficient hierarchy in the tDiscuss code - https://github.com/tsugitools/tdiscus.git
See the Getting Started documentation