PyLTI1p3 is a Python implementation of LTI 1.3 Advantage Tool.
First of all choose and configure test LTI 1.3 Platform. It may be:
- IMS Global test site
- Canvas LMS (Detailed instruction how to setup Canvas as LTI 1.3 Platform is here)
- Blackboard Learn (Documentation)
The most simple way to check example is to use docker
+ docker-compose
.
Change the necessary configs in the configs/game.json
(here is instruction how to generate your own public + private keys):
{
"<issuer>" : [{ // This will usually look something like 'http://example.com'
"default": true, // this block will be used in case if client-id was not passed
"client_id" : "<client_id1>", // This is the id received in the 'aud' during a launch
"auth_login_url" : "<auth_login_url>", // The platform's OIDC login endpoint
"auth_token_url" : "<auth_token_url>", // The platform's service authorization endpoint
"auth_audience": null, // The platform's OAuth2 Audience (aud). Is used to get platform's access token,
// Usually the same as "auth_token_url" but in the common case could be a different url
"key_set_url" : "<key_set_url>", // The platform's JWKS endpoint
"key_set": null, // in case if platform's JWKS endpoint somehow unavailable you may paste JWKS here
"private_key_file" : "<path_to_private_key>", // Relative path to the tool's private key
"public_key_file": "<path_to_public_key>", // Relative path to the tool's public key
"deployment_ids" : ["<deployment_id>"] // The deployment_id passed by the platform during launch
}, {
"default": false,
"client_id" : "<client_id2>",
...
}]
}
and execute:
$ docker-compose up --build
You may use virtualenv instead of docker:
$ virtualenv venv
$ source venv/bin/activate
$ pip install -r requirements.txt
$ cd game
$ python manage.py runserver 127.0.0.1:9001
Now there is game example tool you can launch into on the port 9001:
OIDC Login URL: http://127.0.0.1:9001/login/
LTI Launch URL: http://127.0.0.1:9001/launch/
JWKS URL: http://127.0.0.1:9001/jwks/