Automatically grade learning mastery in Canvas

1. It gets all courses the authenticated user has access to
2. Then it searches for an assignment equal to the GRADING_ASSIGNMENT_NAME environment variable
3. For each course that contains this, it iterates over every student in the course geting their outcome grades and generating percentages for each outcome
4. It averages those percentages and sets the grading assignments grade based on the scale of its maximum points

1. Clone/Download this repo
2. Go to Canvas and generate an Oauth Api Token
   • Enter in http://127.0.0.1:5005/oauth/callback as a URI Redirect
   • If you choose to enforce scopes, enable the following:
     • Assignments Api
       • url:GET|/api/v1/courses/:course_id/assignments
     • Courses
       • url:GET|/api/v1/courses
       • url:GET|/api/v1/courses/:course_id/students
     • Grading Periods
       • url:GET|/api/v1/courses/:course_id/grading_periods
     • Outcome Groups Api
       • url:GET|/api/v1/courses/:courses/outcome_groups/:id/outcomes
       • url:GET|/api/v1/courses/:courses/outcome_groups/:id/subgroups
       • url:GET|/api/v1/courses/:course_id/outcome_groups
     • Outcome Results
       • url:GET|/api/v1/courses/:course_id/outcome_results
       • url:GET|/api/v1/courses/:course_id/outcome_rollups
     • Submissions Api
       • url:PUT|/api/v1/courses/:course_id/assignments/:assignment_id/submissions/:user_id
       • url:GET|/api/v1/courses/:course_id/assignments/:assignment_id/submissions/:user_id
3. Copy .env.example to .env and adjust it accordingly
   • CANVAS_API_URL is the base url of your canvas instance (ie. https://example.instructure.com)
   • CLIENT_ID is the non-hidden api number on Canvas (ie. 10000000000001)
   • CLIENT_SECRET is the hidden api alphanumeric code on Canvas
   • For the default Oauth Signin, leave REFRESH_TOKEN and API_TOKEN as is. However, if you plan to run this headless, you may want to fill them in with values generated elsewhere
   • GRADING_ASSIGNMENT_NAME is the name of the assignment you want to give weight to for learning mastery (NOTE: This assignment must already exist)
4. That's it! You are all set to run main.py