Bullet Train Client

The SDK clients for Python https://bullet-train.io/. Bullet Train allows you to manage feature flags and remote config across multiple projects, environments and organisations.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See running in production for notes on how to deploy the project on a live system.

Installing

VIA pip

pip install bullet-train

Usage

Retrieving feature flags for your project

For full documentation visit https://docs.bullet-train.io

from bullet_train import BulletTrain;

bt = BulletTrain(environment_id="<YOUR_ENVIRONMENT_KEY>")

if bt.has_feature("header", '<My User Id>'):
  if bt.feature_enabled("header"):
    # Show my awesome cool new feature to the world

if bt.has_feature("header"):
  if bt.feature_enabled("header"):
    # Show my awesome cool new feature to the world

value = bt.get_value("header", '<My User Id>')

value = bt.get_value("header")

bt.set_trait("accept-cookies", "true", "ben@bullet-train.io"))
bt.get_trait("accept-cookies", "ben@bullet-train.io"))

Available Options

Available Functions

Identifying users

Identifying users allows you to target specific users from the Bullet Train dashboard. You can include an optional user identifier as part of the has_feature and get_value methods to retrieve unique user flags and variables.

Flags data structure

Feature data structure

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Getting Help

If you encounter a bug or feature request we would like to hear about it. Before you submit an issue please search existing issues in order to prevent duplicates.

Get in touch

If you have any questions about our projects you can email projects@solidstategroup.com.

Useful links

Website

Documentation

Code Examples

Youtube Tutorials