Ben Rometsch
7684efdbaa
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4 years ago | |
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README.md | 4 years ago | |
docker-compose.yml | 4 years ago |
README.md
Bullet Train in Docker
You can use this repo to set up an entire Bullet Train Feature Flag environment locally. Just clone the repo and run docker-compose:
git clone https://github.com/BulletTrainHQ/bullet-train-docker.git
cd bullet-train-docker
docker-compose up
Wait for the images to download and run, then visit http://localhost:8080/
. As a first step, you will need to create a new account at http://localhost:8080/signup
You can create a Django Admin user to get access to the Django admin dashboard with the following command:
# Make sure you are in the root directory of this repository
docker-compose run --rm --entrypoint ".venv/bin/python src/manage.py createsuperuser" api
You can then access the admin dashboard at http://localhost:8000/admin/
Architecture
The docker-compose file runs the following containers:
Front End - Port 8080
The Web user interface. From here you can create accounts and manage your flags. The front end is written in node.js and React.
REST API - Port 8000
The web user interface communicates via REST to the API that powers the application. The SDK clients also connect to this API. The API is written in Django and the Django REST Framework.
Once you have created an account and some flags, you can then start using the API with one of the Bullet Train Client SDKs. You will need to override the API endpoint for each SDK to point to http://localhost:8000/api/v1/
You can access the Django Admin console to get CRUD access to some of the core tables within the API. You will need to create a super user account first. More information on how to create the super user account can be found here https://github.com/BulletTrainHQ/bullet-train-api#locally
Postgres Database
The REST API stores all its data within a Postgres database.
Further Reading
For more information, please visit: