Classera.com - MultiTennant Domain Support for Learn LTI Application
See original GitHub issueWhen we tried to integrate using LTI v1.3 the page returns 500 and looking at the log this is the error we are getting:
2021-05-27T13:18:29.223 [Error] Executed 'LtiAdvantageLaunch' (Failed, Id=74ebc0dc-b2c6-412a-8008-3851238137ae, Duration=1862ms)Object reference not set to an instance of an object.
and when we tried to integrate using LTI v1.0 it looks like the tool will need us to provide an AD account for all of the academies users since we are receiving the “You are not enrolled in this course” error: Could you guys just confirm that if its true please.
Issue Analytics
- State:
- Created 2 years ago
- Comments:16 (9 by maintainers)
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Top GitHub Comments
@leestott great news we were able to launch the LTI 1.3
The (LtiAdvantageLaunch 500) error was caused by us not providing the ResourceLink and the Context titles in the JWT payload
Object reference not set to an instance of an object.
As for the LTI 1.1 We fixed the previously reported issue:
by making sure the “Authorization” header was accepted from our side.
After that we ran into another issue were it just said:
I looked through the repo to find how it parses the membership to make sure it goes with the standards: https://www.imsglobal.org/lti/model/mediatype/application/vnd/ims/lis/v2/membershipcontainer%2Bjson/index.html but I couldn’t find it
anyhow the LTI 1.3 is what we really need and that now it’s running can you please provide us with more details on how to handle the multi tenant situation? Like I couldn’t find the app we need to configure to handle multi tenant authorization were can we find the app step in the deployment?
@leestott the url for the LMS we are testing on is https://csva.classera.com/ (its a test domain/academy so please don’t mind all the rubbish data) and yes its a custom built LMS
Looking at OpenEdx thread it seems that the issue here is with the membership url not returning the members from Edx it-self and as you could see from my comments our NRPS are returning successfully.
But I will also try debugging the function the same way mentioned there and see how the results are received and interpreted.