canvas-api-cli 0.3.0

Canvas LMS API wrapper

Canvas API Wrapper

This is a CLI wrapper around the Canvas LMS API

Installation

Installation requires Python 3.10

$ pip install canvas-api-cli

$ canvas --help

Configuration

The config file should be located at $HOME/.config/canvas.toml, and look something like this:

[instance]
default="<nickname>"

[instance.<nickname>]
domain="domain.instructure.com"
token="<API TOKEN>"

To test that it's configured properly you can execute

$ canvas get users/self

And confirm that the output is for your user

Canvas Instances

Each customer or entity that Instructure deals with is given their own Canvas instance with a unique domain name. Each instance is added to your configuration like so:

[instance.<nickname>]
domain="domain.instructure.com"
token="<API TOKEN>"

The Canvas instance to use can then be selected when running a query

$ canvas get users/self -i <nickname>

If no instance is specified then the default will be used. If the configuration does not have a default, then you must specific an instance with every query

[instance]
default="<nickname>"

[instance.<nickname>]
domain="domain.instructure.com"
token="<API TOKEN>"

Usage

You can query Canvas endpoints using the query subcommand and it's aliases (get, post, put and delete)

$ canvas get <endpoint>

The endpoint parameter will simply be the unique part of the API url. For example: The URL: https://canvas.instructure.com/api/v1/accounts/:account_id/users would be queried as

$ canvas get accounts/:account_id/users

Query Parameters

Query Parameters are added using the -q option

$ canvas get :course_id/assignments -q include[]=submission -q all_dates=true

Request Body

The request body for POST or PUT requests is passed in via the -d option

Either as a JSON string:

$ canvas put courses/:course_id/assignments/:assignment_id  -d '
     {
       "assignment": {
         "name": "New Test Name"
       }
     }
     '

Or a filename

$ canvas put courses/:course_id/assignments/:assignment_id  -d @file.json

Piping

When you pipe the output of canvas to another program, syntax highlighting will not be added. This is convenient, because it allows you to pipe to other programs like jq very easily. Additionally, any info that is not the JSON response from Canvas is written to stderr instead of stdout, so you don't have to worry abou those

The JSON output will still be formatted. If you want to disable all of that you can use the --raw flag