Motivation

The featureflag package was created in order to allow R users to easily make use of feature flags. Feature flags allow developers to turn application features on and off in form of configuration. They allow to you to avoid issues related to long live branching by decoupling feature roll-out from the deployment process.

If you are interested in learning more about feature flags, check out those great resources:

Usage

library(featureflag)

The featureflag package currently supports the following types of feature flags: * bool feature flags - simple on and off flags * percentage feature flags - flags that are randomly enabled/disabled based on the configured percentage * time period feature flags - flags that are enabled during a specified time period e.g. from 2020-01-01 10:00:00 until 2020-02-01 10:00:00

A bool feature flag can be created like this:

my_bool_feature_flag <- create_bool_feature_flag(value = TRUE)

Now you can use it in combination with the is_enabled method to branch out logic in your application:

if (is_enabled(my_bool_feature_flag)) {
  print("Running my feature...")
}
#> [1] "Running my feature..."

In case we wanted to run some default functionality when our feature flag is off, we can simply add an else statement:

if (is_enabled(my_bool_feature_flag)) {
  print("Running my feature...")
} else {
  print("Running my default functionality...")
}
#> [1] "Running my feature..."

featureflag offers helper methods to avoid boilerplate if and if/else code. They can be replaced by using the feature_if and feature_ifelse helpers. The above examples can be rewritten as:

feature_if(my_bool_feature_flag, {
  print("Running my feature...")
})
#> [1] "Running my feature..."

feature_ifelse(my_bool_feature_flag, {
  print("Running my feature...")
}, {
  print("Running my default_functionality...")
})
#> [1] "Running my feature..."

featureflag - basic usage

Motivation

Usage