Skip to main content

A collection of grading/quercus tools for University of Toronto instructors.

Project description

Cheesegrader 🧀

Cheesegrader is a CLI tool to streamline grading workflows for Quercus (Canvas).

Its main features are:

  • sorting: Sorting rubrics/student assignments into folders based on their filenames. Useful to organize graders.
  • copying: Generating a copy of a file for each student. Useful for rubrics.
  • renaming: Replacing one id filenames with another id. Useful when (e.g.) you bulk download off quercus and find out the assignments don't have UTORID in the name.
  • downloading: Downloading student lists, or assignment submissions.
  • uploading: Uploading grades, files, or both to quercus for every student.

Following the prompts should be pretty straightforward, but you can press h at any time for help, and q or ctrl+c to quit.

This has been very useful for me, and I hope it's very useful to you!

Table of contents

Getting Started

  • From PyPI (when published):
    • Windows (PowerShell): py -m pip install cheesegrader
    • Then run: cheesegrader
  • From source (this repo):
    • git clone <repo-url>
    • cd cheesegrader
    • py -m pip install -U pip
    • Editable dev install: py -m pip install -e .
    • Then run: cheesegrader

Running the CLI

  • Windows: py -m cheesegrader main
  • You’ll see a menu with modules:
    • [0] Sorting
    • [1] Copying
    • [2] Uploading
    • [3] Downloading
  • Enter h at any prompt for help; q to quit.

Authentication and tokens

To use the uploading and downloading scripts, you will need to generate and input an API access token. You can get this:

  • By following the instructions here... but they were out of date last time I checked.
  • Logging in to canvas/quercus and then account > settings > + New Access Token
  • Navigating to https://q.utoronto.ca/profile/settings and clicking + New Access Token

Course and assignmend IDs

Contact

  • Submit issues/bugs here
  • I'm also happy to answer any questions if you send them to jesse.wardbond at mail.utoronto.ca // ...existing code...

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cheesegrader-1.0.0.tar.gz (30.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cheesegrader-1.0.0-py3-none-any.whl (39.3 kB view details)

Uploaded Python 3

File details

Details for the file cheesegrader-1.0.0.tar.gz.

File metadata

  • Download URL: cheesegrader-1.0.0.tar.gz
  • Upload date:
  • Size: 30.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.5

File hashes

Hashes for cheesegrader-1.0.0.tar.gz
Algorithm Hash digest
SHA256 5febe4e2029bab45b39e79669ba97f6f0f72030e0e501f78e32e865f4af73ddf
MD5 6a07d32c70e26460a6e7e484ff62ca71
BLAKE2b-256 75c35a261cb30e3f2813ad2236c2219ad44a25765ff437f4a5bc5310ea3067be

See more details on using hashes here.

File details

Details for the file cheesegrader-1.0.0-py3-none-any.whl.

File metadata

File hashes

Hashes for cheesegrader-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0a2d2fc12c33b20c4fed4c06e1ab0716a8c0608cac79fc1d79966b01ac6e9759
MD5 6b6600bcd5e376f13a242e1bdcc9de9b
BLAKE2b-256 aceb999f5744f68f8b7fe0a87665deb8af42ba2ad85d57186dcfc982cda2885c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page