Skip to main content

A client for the moodle page of https://www.jku.at

Project description

# PyMoodle-JKU Linz

A python client for accessing the jku moodle page.

## Install

pip3 install pymoodle-jku -U

### install for testing

  • clones this repo

  • pip3 install -r requirements.txt

## Requirements

To Download streams, you need [ffmpeg](https://ffmpeg.org/download.html) installed.

## Usage of commandline script

After installation:

pip3 install pymoodle-jku -U

just run:

pymoodle -d ./Courses

with the -i option you can specify which courses to download. If no ids are given, you will be shown all ids and courses and be promted to enter ids.

> usage: pymoodle.py [-h] [-d DOWNLOAD] [-c] [-i [IDS]] [-u USERNAME] > [-p PASSWORD] > > Download moodle files > > optional arguments: > > -h, –help show this help message and exit > > -d DOWNLOAD, –download DOWNLOAD > path to download directory > > -c, –courses list all courses with its ids > > -i [IDS], –ids [IDS] > list of course ids to download (seperated by comma 52623,38747,27364). If no id is specified but -i is given you can enter the ids after starting the script (ids will be displayed) > > -u USERNAME, –username USERNAME > jku moodle username > > -p PASSWORD, –password PASSWORD > jku moodle password

## Examples

There are two examples:

### Downloading

Open the [downloading.py](pymoodle_jku/Utils/downloading.py) and run it. It will download all possible files to your disk.

It will also store a txt file with all downloaded urls. So you can run it multiple times, and it will only download stuff once.

### Timeline

Run [timetable.py](pymoodle_jku/Utils/timetable.py) and get the full json response from your timetable. (In a next release this will be a object, with type hints not a json)

## Features

  • Login to your personal moodle account
    • passwords don’t get stored anywhere, only send to the moodle (actually sso) server

  • List all courses
    • query a specific course

    • download data from a course (PDFS/Zips…)

    • download streams (you need ffmpeg installed locally and added to your PATH)

    • get all Links on a page (with the [Link Type](pymoodle_jku/Classes/course_data.py))

    • get all html from a section of a course

  • Get [information about courses](pymoodle_jku/Classes/course.py)
    • startdate/enddate

    • fullname/shortname

    • id

    • etc.

  • Downloads are streamed
    • that means pymoodle take chunks of the request and writes it to the filesystem (which means less RAM usage)
      • to compare that: downloading: 4 x 2GB Videos into memory uses 8 GB. Streaming it and chunking it onto the filesystem takes not more than a few hundred MB.

  • Get your Timeline

  • Exception is thrown if you get logged out. (So catch it and call login again…)

  • Every request I implemented is directly from the official moodle page. (Took a very long time to debug)

## Unsupported

  • Downloading of Zoom streams of jku.zoom.us isn’t supported for now. If somebody get it working please feel free to do a merge request.

## Support

If you want to add something, create an issue and do a pull request.

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

pymoodle-jku-0.5.0.tar.gz (13.8 kB view details)

Uploaded Source

File details

Details for the file pymoodle-jku-0.5.0.tar.gz.

File metadata

  • Download URL: pymoodle-jku-0.5.0.tar.gz
  • Upload date:
  • Size: 13.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/54.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.2

File hashes

Hashes for pymoodle-jku-0.5.0.tar.gz
Algorithm Hash digest
SHA256 198fbcb0a8e16857cbe11d4bda58187c3c42cd9b4e71a0c18e1e4d80c51ec2b1
MD5 ef5c0d80d39db6132de5712dab1d4263
BLAKE2b-256 c821828d7e97ebaa7691262162974c4713618fc8763ec50efa6c968e69b40f02

See more details on using hashes here.

Supported by

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