Skip to main content

Kolibri plugin for rendering Khan Academy Perseus style exercises

Project description

Kolibri Exercise Renderer for Perseus
=====================================

What is Kolibri?
----------------

Kolibri is a Learning Management System / Learning App designed to run on low-power devices, targeting the needs of
learners and teachers in contexts with limited infrastructure. A user can install Kolibri and serve the app on a local
network, without an internet connection. Kolibri installations can be linked to one another, so that user data and
content can be shared. Users can create content for Kolibri and share it when there is network access to another
Kolibri installation or the internet.

See https://learningequality.org/kolibri/ for more info.

What is Perseus?
----------------

Khan Academy's exercise question editor and renderer.

See https://github.com/Khan/perseus for more info.

What is this plugin?
--------------------

A Perseus renderer wrapper for Kolibri that can track learning progress and save to the database.

How can I install this plugin?
------------------------------

1. Inside your Kolibri virtual environment:
``pip install kolibri-perseus-exercise-plugin``

2. Activate the plugin:

``kolibri plugin exercise_perseus_renderer enable``

3. Restart Kolibri.

How can I install this plugin for development?
------------------------------

1. Download this repo.
2. Open terminal in your Kolibri repo.
4. run the following commands:

``pip install -e <KOLIBRI-PERSEUS-PLUGIN-LOCAL-PATH>``

``kolibri plugin exercise_perseus_renderer enable``

5. Then run the commands to install frontend packages in Kolibri, this plugin will have its recursively installed.

6. If you have updated the version of Perseus in the repo, run the following command:

``./update_perseus.sh``

How to publish to PyPi?
------------------------------

1. Follow the instructions above to installing the plugin for development.
2. From the Kolibri directory run the frontend build command.
3. update `setup.py` to a newer version.
4. Terminal move to the root level of repo dir and run the following command to publish to PyPi:

``make release``


How can I contribute?
---------------------

* `Documentation <http://kolibri.readthedocs.org/en/latest/>`_ is available online, and in the ``docs/`` directory.
* Mailing list: `Google groups <https://groups.google.com/a/learningequality.org/forum/#!forum/dev>`_.
* IRC: #kolibri on Freenode


Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

kolibri-exercise-perseus-plugin-0.3.0.tar.gz (3.1 MB view details)

Uploaded Source

Built Distribution

kolibri_exercise_perseus_plugin-0.3.0-py2.py3-none-any.whl (3.3 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file kolibri-exercise-perseus-plugin-0.3.0.tar.gz.

File metadata

File hashes

Hashes for kolibri-exercise-perseus-plugin-0.3.0.tar.gz
Algorithm Hash digest
SHA256 f4878097d86c068e7633c195d214d3be5c46443ce3f5799a1a6e8d92ad3935eb
MD5 24263b44e1d98724c4c6e06a984453fe
BLAKE2b-256 123ec8f91cb74fa43c9901ff7a1b00dabf7aa60461d3f0bbffd334825d0fddaf

See more details on using hashes here.

Provenance

File details

Details for the file kolibri_exercise_perseus_plugin-0.3.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for kolibri_exercise_perseus_plugin-0.3.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 8963baed7b0967c7736260a98ded430b7719d8e275c5a821d87137881fe48ca1
MD5 c6b316b0564c6fe196c0f35121a202f6
BLAKE2b-256 0f5e70d3a76e9bcd216c4617f315e586e66088b679f8610c1a8d36884933972b

See more details on using hashes here.

Provenance

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