Semaphore

A minimalist Feature Flag engine for CFML apps

Minimalist? What's included?

• Rules engine
• DSL (Domain Specific Language) for defining flags as data
• Methods for flag CRUD, and evaluation
• 👈🏻 Comprehensive test suite so that you know all of the above is trustworthy

What's NOT included?

• Flag definition storage. Flag data is stored in-memory and it's up to you to bulk load it from your storage mechanism when your app starts up, and to save changes when they're made.
• GUI for creating, browsing, toggling, or otherwise modifying flags. You'll need to create your own, but I'll provide methods to hook in and do CRUD.

Usage

1. Create a Semaphore instance. You only need one: cache it in Application or Server scope.
2. Load your flags at app startup: semaphore.setAllFlags({ 'my_flag': {} });
3. Wrap features thusly:

if (semaphore.checkForUser( "my_flag", userAttributes )) {
	newImplementation();
} else {
	oldImplementation();
}

Based on the userAttributes and your flag definitions, checkForUser() returns true or false.

User Attributes

userAttributes is a structure containing... anything you want. You'll want it to be flat (no nested structs), and contain all user-data and environment-data necessary to evaluate a flag. (Or to put it another way: include anything that you might want to use to create user segments.) For example:

{
	userId: 42
	,userEmail: '[email protected]'
	,userGroup: 'towel'
	,betaOptIn: true
	,roles: ['security_admin','editor','writer','reader']
	,env: 'production'
}

I recommend storing this in the user session to eliminate repetitive data lookup and for easy reference.

Flag Definitions

{
	'example_percentage_flag': {
		name: 'Example Percentage Flag',
		description: 'This flag is only active for ~50% of the user population',
		active: true,
		rules: [
			[
				{
					type: '%',
					percentage: 50
				}
			]
		]
	}
	,'example_userId_flag': {
		name: 'Example UserId Flag',
		description: 'This flag is only active for userId 42',
		active: true,
		rules: [
			[
				{
					type: 'filter',
					attribute: 'userId',
					operator: '=',
					comparator: 42
				}
			]
		]
	}
	,'example_email_flag': {
		name: 'Example Email Flag',
		description: 'This flag is only active for [email protected]',
		active: true,
		rules: [
			[
				{
					type: 'filter',
					attribute: 'userEmail',
					operator: 'in',
					comparator: ['[email protected]']
				}
			]
		]
	}
	,'example_AND_flag': {
		name: 'Example AND Flag',
		description: 'This flag is active only if both rules to evaluate to TRUE (user has role writer, and user has betaOptIn=true)',
		active: true,
		rules: [
			[

				{
					type: 'filter',
					attribute: 'role',
					operator: 'has',
					comparator: ['writer']
				},
				{
					type: 'filter',
					attribute: 'betaOptIn',
					operator: '==',
					comparator: true
				}
			]
		]
	}
	,'example_OR_flag': {
		name: 'Example AND Flag',
		description: 'This flag is active if either rule evaluates to TRUE (user has role writer, OR user has betaOptIn=true)',
		active: true,
		rules: [
			[

				{
					type: 'filter',
					attribute: 'role',
					operator: 'has',
					comparator: ['writer']
				}
			],
			[
				{
					type: 'filter',
					attribute: 'betaOptIn',
					operator: '==',
					comparator: true
				}
			]
		]
	}
	,'example_inactive_flag': {
		name: 'Example Inactive Flag',
		description: 'This flag is inactive',
		active: false,
		rules: []
	}
}

Flag Rule Types

• % "Percentage": X% of users are selected at random to have the feature enabled.
• filter "Filter": You specify an attribute from the userAttributes object, the operator and a comparator (comparison value), and anyone who passes the comparison is in the active segment (flag is ON for them)
• nobody: Flag is OFF for all users
• everybody: Flag is ON for all users
• More TBD? If you have ideas, hit me up!

Why not just use config settings?

You could do that, sure. But the value proposition of feature flags is that they can be toggled independendtly of deploying code changes to your application, and often much more rapidly. They can take effect as quickly as you can update the flag state on your application. How you do that is left as an exercise for you.

ALSO, feature flags allow you to dynamically segment the user population. As seen above, I've already got support for %-based rollouts, as well as specific user-attribute and environment-attribute filtering. Those would be possible to implement with config settings, but probably not worth the effort.

Why roll your own?

I created this because I got fed up trying to implement FlagSmith and Split.io in my app. They both assume that if you're using Java then you're willing/comfortable using Maven (strike 1), both of their docs barely cover SDK instantiation and I couldn't get either of them even simply on its feet let alone doing something useful (strike 2), and it's (mostly) just "if-statements", right? Why can't we host that ourselves? (strike 3)

Contributing

Please see Contributing.md

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Adam Tuttle 💻 🖋 📖 💡

Dominic Watson 🔧

Adam Cameron 🤔

Seb Duggan 🐛

James Moberg 🐛 💻 📖

This project follows the all-contributors specification. Contributions of any kind welcome!