Tahoe LTI Processors

Tahoe Customizations for the LTI Consumer XBlock: Additional team and user fields.

How it Works

This package uses the LTI Consumer XBlock interface to add extra parameters in addition to the default LTI parameters.

Usage

Install the pip package:

$ pip install git+https://github.com/appsembler/tahoe-lti.git

Add the following settings to your server-vars.yml (or whatever method you configure your Open edX installation):

EDXAPP_XBLOCK_SETTINGS:
  lti_consumer:
    parameter_processors:
      - 'tahoe_lti.processors:basic_user_info'
      - 'tahoe_lti.processors:personal_user_info'
      - 'tahoe_lti.processors:cohort_info'
      - 'tahoe_lti.processors:team_info'

Legal Notice: Both basic_user_info and personal_user_info sends personal user information to potential 3rd-party LTI providers. Please make sure that this is reflected on the Privacy Policy of the site.

In case the same LTI configuration used for multiple edX installations, alternatively you may want to replace personal_user_info processor by personal_user_info_with_combined_user_id. The personal_user_info_with_combined_user_id processor does exactly the same what personal_user_info, but using the hash of the user's email address and join date ensuring that the user can have the same email address across edX installations.

Restart the Open edX instance and it should be working.

How to Test?

• Set the LTI Passports to test:test:secret in the course advanced settings.

• Add the lti_consumer to the advanced modules.

• From the advanced modules create a new LTI module

• Configure the module like the following:

  • URL: https://lti.tools/saltire/tp
  • LTI ID: test
  • Set Send extra parameters to true

• Check the LTI test and you should see the custom parameters:

  

  Click on the image to enlarge.

Development Guide

You can use whatever workflow you prefer when developing XBlocks, if you don't have one, here's a suggestion:

• Install the XBlock SDK. Use the version in edx/xblock-sdk#142 or later.
• All the steps below should be run within the XBlock SDK virtual environment
• Install the Consumer LTI XBlock.
• Checkout this repo
• Install this repo in edit mode $ pip install -e tahoe-lti
• Go to In the XBlock SDK and add a private.py settings file with the settings above to enable the processors
• Run the XBlock SDK and choose the LTI Consumer XBlock scenario