Skip to main content

Kolibri plugin for rendering Khan Academy Perseus style exercises

Project description

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

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.

3. run the following commands:

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

``kolibri plugin kolibri_exercise_perseus_plugin enable``

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

``yarn install``

5. Finally, to copy over Mathjax into the static folder, run the following command (you will need to do this if you update the version of Perseus in the repo also):

``./update_perseus.sh``

Known issues
------------

If you ran `make dist` or `make pex` on Kolibri with `kolibri-exercise-perseus-plugin==x.x.x` present in `kolibri/requirements/base.txt`, Kolibri will generate a exercise_perseus_renderer instance inside its `dist` folder and use it afterwards. That means manually installing exercise_perseus_renderer for development won't take any effects. One way to fix this issue is to restore the `dist` folder.

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

Built Distribution

kolibri_exercise_perseus_plugin-0.6.14-py2.py3-none-any.whl (4.8 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file kolibri_exercise_perseus_plugin-0.6.14.tar.gz.

File metadata

File hashes

Hashes for kolibri_exercise_perseus_plugin-0.6.14.tar.gz
Algorithm Hash digest
SHA256 291e1e3a3a9bb176f7b8d81fc6a0332a094099416fba7f899dacd66503a23c54
MD5 3bc5ec95f5a8d531d10128b1e8538719
BLAKE2b-256 e16ad57385d447c3667522f7e5a22878702d1abfa4812a97a6896e0449059413

See more details on using hashes here.

Provenance

File details

Details for the file kolibri_exercise_perseus_plugin-0.6.14-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for kolibri_exercise_perseus_plugin-0.6.14-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 bb954a3b586d5a67b0cdcdddb6c02f44f8ffbee4e6f809aff74016b5f3a71d0d
MD5 1f14e5a05711b2841dd1655489c3b6ea
BLAKE2b-256 38d1cdd6e16a120691b885b4973a8178ca9ff26c43541efa8aaa3303c05b3a42

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