Use Canvas API to automatically download submissions

[benjamin051000]

Something like https://github.com/ucfopen/canvasapi

here's a simple example that appears to work:

# Import the Canvas class
from canvasapi import Canvas
# Canvas API URL
API_URL = "https://ufl.instructure.com"
# Canvas API key
API_KEY = "private key here"

def main():
    canvas = Canvas(API_URL, API_KEY)
    print(canvas.get_course(472360))


if __name__ == '__main__':
    main()

This opens many possibilities up:

• First, even easier to grade manually
• We could just have the server automatically download submissions and grade them, no human interaction required! That would be sick

[benjamin051000]

And, it could post their grade automatically (assuming nothing went wrong). All TAs would have to do is intervene with students that didn't score 100%

[benjamin051000]

For full automation, we would need some way to listen for when a student submits their assignment. The tool could receive that event or listen for it, then download the submission, grade it, and post the grades.

If there are issues (e.g., compile issue or < 100% score), the TA could be notified via email or something that they need to log in and manually grade that student's assignment.

[benjamin051000]

This will definitely require #10 , since that separates each student's submission into its own modelsim project, allowing for greater flexibility, including this idea.