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BBDN-UEF-Python

This project is set up to demonstrate the use of the Ultra Extension Framework with LTI 1.3 in Python.

To configure:

/app/ConfigTemplate.py

In the app directory, copy ConfigTemplate.py to Config.py and fill in your information:

config = {
    "verify_certs" : "True",
    "learn_rest_url" : "YOURLEARNSERVERNOHTTPS",
    "learn_rest_key" : "YOURLEARNRESTKEY",
    "learn_rest_secret" : "YOURLEARNRESTSECRET",
    "app_url" : "YOURAPPURLWITHHTTPS"
}
  • learn_rest_url should be set to your learn instances domain. Be sure to avoid the request scheme, i.e. mylearn.blackboard.edu
  • app_url should be set to the FQDN of your application, i.e. https://myapp.herokuapp.com

/app/lti-template.json

In the app directory, copy lti-template.json to lti.json and add your client Id (application ID from the developer portal), and your deployment ID (given to you in Learn when you register your LTI application).

To Run

First build your Docker image:

docker build -t uef-examples:0.1 .

Then run your Docker image:

docker run -p 5000:5000 --name uef-examples uef-examples:0.1

Now using NGrok, expose your port to the world:

ngrok http 5000 --hostname <unique-value>.ngrok.io

Of course it is docker, so you can deploy this just about anywhere and provide any hostname you desire.