Django app plugin for fetching and verifying tags for xblock skills.
Project description
skill_tagging
Overview
Django app for fetching and verifying tags/skills for video and vertical/unit XBlocks. It implements two openedx_filters pipelines to inject a form into the end unit XBlocks and video XBlocks.
More information about the XBlock skill tagging design can be found in this ADR.
Getting Started
To install skill_tagging in edx-platform, run
pip install skill_tagging
# to install a development version locally in devstack
# clone this repo in `<devstack_base_dir>/src` directory and run
pip install -e /edx/src/xblock-skill-tagging
This repo depends on discovery service for fetching skills/tags for a given XBlock which depends on taxonomy-connector plugin for generating and serving these tags. Setup taxonomy-connector plugin in course-discovery by installing it via pip:
pip install taxonomy-connector
# to install a development version locally in devstack
# clone this repo in `<devstack_base_dir>/src` directory and run
pip install -e /edx/src/taxonomy_connector
Whenever a user verifies tags/skills for an XBlock, skill_tagging emits an openedx_event called XBLOCK_SKILL_VERIFIED. This event needs to be consumed by course discovery to make sure that the verification count is incremented for that skill/tag.
To produce and consume this event, setup an implementation of event bus like event_bus_kafka or event_bus_redis. How to start using the Event Bus has detailed information on setting up event bus. The host would be edx-platform while course-discovery will be the consumer for the event bus.
Configuration
Add following configuration values to the host django settings, i.e. LMS settings: lms/envs/common.py
from .common import XBLOCK_MIXINS
# Below mixin adds the ability to fetch skills/tags from discovery and update them.
XBLOCK_MIXINS += ('skill_tagging.skill_tagging_mixin.SkillTaggingMixin',)
# Set below url to point to discovery service.
TAXONOMY_API_BASE_URL='http://edx.devstack.discovery:18381'
# Configure the maximum number skills/tags to display in the form for a given xblock.
TAXONOMY_API_SKILL_PAGE_SIZE=20
# Copy this as is, this configures the required openedx_filters.
OPEN_EDX_FILTERS_CONFIG = {
"org.openedx.learning.vertical_block.render.completed.v1": {
"fail_silently": False,
"pipeline": [
"skill_tagging.pipeline.AddVerticalBlockSkillVerificationSection",
]
},
"org.openedx.learning.vertical_block_child.render.started.v1": {
"fail_silently": False,
"pipeline": [
"skill_tagging.pipeline.AddVideoBlockSkillVerificationComponent",
]
}
}
# helps to configure probability of displaying the verification forms. Values in range 0 to 1 are allowed, where 0
# means never and 1 means always display. Default value is 0.5 i.e. 50% chance of displaying the form.
SHOW_SKILL_VERIFICATION_PROBABILITY = 0.5
# Optionally update topic name for verification event emitted when a user verifies tags for an xblock.
EVENT_BUS_XBLOCK_VERIFICATION_TOPIC = "learning-custom-xblock-skill-verfied"
Developing
One Time Setup
# Clone the repository
git clone git@github.com:openedx/xblock-skill-tagging.git
cd xblock-skill-tagging
# Set up a virtualenv using virtualenvwrapper with the same name as the repo and activate it
mkvirtualenv -p python3.8 xblock-skill-tagging
Every time you develop something in this repo
# Activate the virtualenv
workon xblock-skill-tagging
# Grab the latest code
git checkout main
git pull
# Install/update the dev requirements
make requirements
# Run the tests and quality checks (to verify the status before you make any changes)
make validate
# Make a new branch for your changes
git checkout -b <your_github_username>/<short_description>
# Using your favorite editor, edit the code to make your change.
vim ...
# Run your new tests
pytest ./path/to/new/tests
# Run all the tests and quality checks
make validate
# Commit all your changes
git commit ...
git push
# Open a PR and ask for review.
Deploying
This package is automatically published to pypi whenever a new tag is pushed to the repository.
Getting Help
Documentation
Published documentation is not available.
More Help
If you’re having trouble, we have discussion forums at https://discuss.openedx.org where you can connect with others in the community.
Our real-time conversations are on Slack. You can request a Slack invitation, then join our community Slack workspace.
For anything non-trivial, the best path is to open an issue in this repository with as many details about the issue you are facing as you can provide.
https://github.com/openedx/xblock-skill-tagging/issues
For more information about these options, see the Getting Help page.
License
The code in this repository is licensed under the AGPL 3.0 unless otherwise noted.
Please see LICENSE.txt for details.
Contributing
Contributions are very welcome. Please read How To Contribute for details.
This project is currently accepting all types of contributions, bug fixes, security fixes, maintenance work, or new features. However, please make sure to have a discussion about your new feature idea with the maintainers prior to beginning development to maximize the chances of your change being accepted. You can start a conversation by creating a new issue on this repo summarizing your idea.
The Open edX Code of Conduct
All community members are expected to follow the Open edX Code of Conduct.
People
The assigned maintainers for this component and other project details may be found in Backstage. Backstage pulls this data from the catalog-info.yaml file in this repo.
Reporting Security Issues
Please do not report security issues in public. Please email security@openedx.org.
Change Log
Unreleased
[0.1.2] - 2023-08-18
Added
Define Metaclass for XblockSkillTagging Mixin
[0.1.1] - 2023-06-14
Added
Add temporary option to configure topic name for skill-verified event.
[0.1.0] - 2022-12-01
Added
First release on PyPI.
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
Hashes for skill_tagging-0.1.2-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | dfe66197b58b83d11444e4e4821d0e73fa7293ba812b099a9ef2149e329acf5b |
|
MD5 | 9d56f697fb6b0f927c8b81db8ca71a04 |
|
BLAKE2b-256 | 92de26e1a4ffae59dbb33f293fe4603a35ea02f5d89c4d229e67ee1ea7c47a92 |