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Merge pull request #3 from alex-bellon/documentation 

Added more information about credentials to README
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# Introduction
The Canvas Student Data Export Tool can export nearly all of a student's data from Instructure Canvas Learning Management System (Canvas LMS).
This is useful when you are graduating or leaving your college or university, and would like to have a backup of all the data you had in canvas.
The Canvas Student Data Export Tool can export nearly all of a student's data from Instructure Canvas Learning Management System (Canvas LMS).
This is useful when you are graduating or leaving your college or university, and would like to have a backup of all the data you had in canvas.
The tool exports all of the following data:
The tool exports all of the following data:
- Course Assignments
- Course Announcements
- Course Discussions
@ -10,8 +10,8 @@ The tool exports all of the following data:
- Course Files
- Course Modules
The tool will export your data in JSON format, and will organize it nicely into folders named for every term of every year.
Example:
The tool will export your data in JSON format, and will organize it nicely into folders named for every term of every year.
Example:
- Fall 2013
- Econ 101
- files
@ -36,21 +36,33 @@ Example:
# Getting Started
## Dependencies
To run the program, you will need the following dependencies:
`pip install requests`
`pip install jsonpickle`
`pip install canvasapi`
To run the program, you will need the following dependencies:
`pip install requests`
`pip install jsonpickle`
`pip install canvasapi`
Then run from the command line:
Then run from the command line:
`python export.py`
## Configuration
These are the configuration parameters for the program:
- Canvas API URL
- Canvas API key
- Canvas User ID
- Canvas API URL - this is the URL of your institution, for example `https://example.instructure.com`
- Canvas API key - this can be created by going to Canvas and navigating to `Account` > `Settings` > `Approved Integrations` > `New Access Token`
- Canvas User ID - this can be found at `https://example.instructure.com/api/v1/users/self` in the `id` field
- Directory in which to download course information to (will be created if not present)
- List of Course IDs that should be skipped
### Loading credentials from a file
To avoid manually entering credentials every time you run the program, you can create a `credentials.yaml` file in the same directory as the script that has the following fields:
```yaml
API_URL: < URL of your institution >
API_KEY: < API Key from Canvas >
USER_ID: < User ID from Canvas >
```
You can then run the script as normal:
`python export.py`
# Contribute
I would love to see this script's functionality expanded and improved! I welcome all pull requests :) Thank you!
I would love to see this script's functionality expanded and improved! I welcome all pull requests :) Thank you!