Added python-dateutil to dependencies and created requirements.txt #4
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@ -1,8 +1,8 @@
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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
|
||||
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@ -45,16 +45,28 @@ To run the program, you will need the following dependencies:
|
|||
You can install these dependencies using
|
||||
`pip install -r requirements.txt`
|
||||
|
||||
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!
|
||||
|
|
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