The goals for translationDatabase are to manage and track data for languages and the progress of getting unrestricted biblical content into every language.

For more information on the unfoldingWord project, see the About page.

A lot of the sources of data are pull into and managed as repo as part of the Debian project called simply, ISO Codes.

• ISO 639-1 - Wikipedia
• ISO 639-3 - SIL - Code Set
• Ethnologue Data

• ISO 639-2 - LOC
• ISO 639-3 - SIL - Names Index
• ISO 639-3 - SIL - Macrolanguage Mappings
• ISO 639-3 - SIL - Retirements
• ISO 3166 - ISO
• ISO 15924 - Codes for the representation of names of scripts
• Unicode Supplemental Data
• Geo Names - Languages in their own writing systems
• Glottolog

To setup a new working environment of this project, several items are needed:

• Python (consult the requirements.txt for specific libraries/packages)
• Redis
• Postgres
• Node

npm install
npm run watch     # run a watcher on the static folder
npm run build     # builds static and exits
npm run buildprod # builds for production (uglify/minification)

After installing requirements (via pip) within your environment or virtualenv:

• python manage.py migrate
• python manage.py loaddata sites
• python manage.py loaddata uw_network_seed
• python manage.py loaddata uw_region_seed
• python manage.py loaddata uw_title_seed
• python manage.py loaddata uw_media_seed
• python manage.py loaddata additional-languages
• python manage.py reload_imports

At this point, the basic country and language datasets will be populated but without many optional fields or extra data.

When languages are added or updated, run this command to update the data locally:

python manage.py rebuild_langnames

Switch to the master branch and run this command to update the data on the server:

ec run web python manage.py rebuild_langnames

translationDatabase was previously built using the Heroku-18 stack and deployed on Heroku dynos.

It is now being deployed using Heroku's Docker container support.

This was configured via:

heroku stack:set container -a ${HEROKU_APP_NAME:-translation-database-demo}

(and repeated using HEROKU_APP_NAME=translation-database).

This application can be deployed to Heroku via Git.

Heroku's documentation on Git / GitHub deployments can be found here:

• https://devcenter.heroku.com/articles/git
• https://devcenter.heroku.com/articles/github-integration

To deploy the master branch to the translation-database-demo site:

git checkout master
heroku git:remote -a translation-database-demo
git push heroku master:main

For additional documentation, see Building Docker Images with heroku.yml

These instructions are provided as a convenience; the application should be deployable following Deploying via heroku.yml above.

NOTE: This assumes that you have a version of Docker installed.

1. Build the production image

rm -Rf archive archive.tgz
git archive HEAD > archive.tgz
mkdir -p archive
tar -xvf archive.tgz -C archive
cd archive

docker build --platform=linux/amd64 -f Dockerfile -t td .
cd ..
rm -Rf archive

2. Run via

# assumes environment variables populated in
# .dev-env file
docker run --name=td --rm -d --env-file ./.dev-env -p 8000:8000 td

If you wanted to deploy the pre-built image to Heroku, you would need to:

• have access to the translation-database-demo and translation-database apps on Heroku
• have authenticated with the Heroku Container Registry

1. Tag and push for $APP_NAME:

docker tag td registry.heroku.com/${HEROKU_APP_NAME:-translation-database-demo}/web
docker tag td registry.heroku.com/${HEROKU_APP_NAME:-translation-database-demo}/worker
docker push registry.heroku.com/${HEROKU_APP_NAME:-translation-database-demo}/web
docker push registry.heroku.com/${HEROKU_APP_NAME:-translation-database-demo}/worker

3. Release to Heroku

heroku container:release web worker -a ${HEROKU_APP_NAME:-translation-database-demo}

Repeat the steps above with the HEROKU_APP_NAME variable set for the production environment:

export HEROKU_APP_NAME=translation-database