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IoGT

Internet of Good Things (IoGT) is developed as a public good under a BSD-2 open-source license.

The development uses the Python programming language, building on the Django server-side web framework combined with the Wagtail content management system.

In line with the latest Wagtail Long Term Support release, IoGT 2.x supports:

  • Wagtail 2.11.x
  • Django 2.2.x, 3.0.x and 3.1.x
  • Python 3.8 and 3.9
  • PostgreSQL, MySQL and SQLite as database backends

Getting started

If you'd like to contribute to IoGT development, the best way to get started is to clone a copy of this repository and run the code on your machine.

git clone https://github.com/unicef/iogt.git
cd iogt

Create an isolated Python environment, into which we will install the project's dependencies. This is highly recommended so that the requirements of this project don't interfere with any other Python environments you may have in your system, including the global Python environment. We also recommend that you create a new environment outside of the project directory.

python3 -m venv <path_to_venv_dir>
source <path_to_venv_dir>/bin/activate
pip install -r requirements.txt

Create the database. By default, an SQLite database will be created.

./manage.py migrate

Create a super user account for administration purposes.

./manage.py createsuperuser

Compile .po language files stored in locale/

./manage.py compilemessages

Finally, start the server.

./manage.py runserver

Once running, navigate to http://localhost:8000 in your browser.

Running ElasticSearch (Optional)

  1. Set up an elastic search cluster

  2. Update local.py to use Elasticsearch as the backend. More details here

    WAGTAILSEARCH_BACKENDS = {
     'default': {
         'BACKEND': 'wagtail.search.backends.elasticsearch7',
         'URLS': ['http://localhost:9200'],
         'INDEX': 'iogt',
         'TIMEOUT': 5,
         'OPTIONS': {},
         'INDEX_SETTINGS': {},
         'AUTO_UPDATE': True,
         'ATOMIC_REBUILD': True
         }
    }
    
  3. Run ./manage.py update_index to update the ElasticSearch Index

Setting up test data

It is possible to automatically populate the database with example data for a basic test site.

./manage.py create_initial_data

Optionally, create the main menu automatically as well.

./manage.py autopopulate_main_menus

Running Tests

./manage.py test --settings=iogt.settings.production

Setup with Docker Compose

You can choose to set up the project locally using Docker Compose. This setup is recommended if you want to replicate the production environment

Steps

Clone the repository

git clone https://github.com/unicef/iogt.git

Run setup command. This will set up the database and also update the ElasticSearch Index.

cd iogt
make setup

Create a super user account for administration purposes.

docker-compose run django python manage.py createsuperuser

Run the compose file

make up

You're all set now. See the Makefile for other commands related to docker-compose

Setting up test data

It is possible to automatically populate the database with example data for a basic test site.

docker-compose run django python manage.py create_initial_data

Optionally, create the main menu automatically as well.

docker-compose run django python manage.py autopopulate_main_menus

Migrating content from IoGT v1

Follow instructions here

Running Tests

Run the following command:

make test

Configuring the Chatbot

Follow instructions here

Configuring wagtail-transfer

It is possible to pull articles from other deployments assuming we know the secret key for that deployment. In iogt/settings/local.py, define parameters from wagtail-transfer as appropriate, e.g.:

WAGTAILTRANSFER_SECRET_KEY = 'fake_secret_key'
WAGTAILTRANSFER_SOURCES = {
   'iogt_global': {
      'BASE_URL': 'http://fake-iogt-url.org/wagtail-transfer/',
      'SECRET_KEY': 'fake_secret_key_2',
   },
}

Note: the names of transfer sources may only contain letters, numbers and underscores.

Adding new localizable strings to the code base

After adding new strings to the code base that are user-facing (see https://docs.djangoproject.com/en/4.0/topics/i18n/translation/ ), follow the following process:

  1. Run ./manage.py translation_tracking
  2. Review and update common/translation_utils/translation_status.csv. Strings that only appear in the admin backend don't need to be tagged as translate, only those that face users. See here for details.
  3. Rerun ./manage.py translation_tracking

This process updates PO files as necessary and compiles a list of strings that appear in the translation manager in the admin backend.

Remark: The file common/translation_utils/translations.csv is NOT updated in the process. Even though it has a column "is in use", its data is currently not updated automatically, and similarly, new strings are not added automatically.

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