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Hygiene: revise A/B test terminology
Improve the comments and APIs provided by AB.js: - Control becomes unsampled. - A becomes control. - B becomes treatment. This code does not appear to be in use presently, so it's a great time to change it. Change-Id: I31d619f889ee45102a4aed774a6ec41f0d95ba7d
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@ -1,22 +1,22 @@
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/*
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* Bucketing wrapper for creating AB-tests.
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*
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* Given a test name, sampling rate, and session ID, provides a class that buckets users into
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* predefined bucket ("control", "A", "B") and starts an AB-test.
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* Given a test name, sampling rate, and session ID, provides a class that buckets a user into
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* a predefined bucket ("unsampled", "control", or "treatment") and starts an AB-test.
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*/
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( function ( M, mwExperiments ) {
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var bucket = {
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CONTROL: 'control',
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A: 'A',
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B: 'B'
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UNSAMPLED: 'unsampled', // Old treatment: not sampled and not instrumented.
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CONTROL: 'control', // Old treatment: sampled and instrumented.
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TREATMENT: 'treatment' // New treatment: sampled and instrumented.
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};
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/**
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* Buckets users based on params and exposes an `isEnabled` and `getBucket` method.
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* @param {Object} config Configuration object for AB test.
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* @param {string} config.testName
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* @param {number} config.samplingRate Sampling rate for the AB-test.
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* @param {number} config.sessionId Session ID for user bucketing.
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* Buckets users based on params and exposes an `isSampled` and `getBucket` method.
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* @param {Object} config Configuration object for AB test.
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* @param {string} config.testName
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* @param {number} config.samplingRate Sampling rate for the AB-test.
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* @param {number} config.sessionId Session ID for user bucketing.
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* @constructor
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*/
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function AB( config ) {
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@ -28,9 +28,9 @@
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name: testName,
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enabled: !!samplingRate,
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buckets: {
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control: 1 - samplingRate,
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A: samplingRate / 2,
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B: samplingRate / 2
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unsampled: 1 - samplingRate,
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control: samplingRate / 2,
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treatment: samplingRate / 2
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}
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};
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@ -39,37 +39,37 @@
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*
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* A boolean instead of an enum is usually a code smell. However, the nature of A/B testing
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* is to compare an A group's performance to a B group's so a boolean seems natural, even
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* in the long term, and preferable to showing bucketing encoding ("A", "B", "control") to
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* callers which is necessary if getBucket(). The downside is that now two functions exist
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* where one would suffice.
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* in the long term, and preferable to showing bucketing encoding ("unsampled", "control",
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* "treatment") to callers which is necessary if getBucket(). The downside is that now two
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* functions exist where one would suffice.
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*
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* @return {string} AB-test bucket, bucket.CONTROL_BUCKET by default, bucket.A or bucket.B
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* buckets otherwise.
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* @return {string} AB-test bucket, `bucket.UNSAMPLED` by default, `bucket.CONTROL` or
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* `bucket.TREATMENT` buckets otherwise.
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*/
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function getBucket() {
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return mwExperiments.getBucket( test, sessionId );
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}
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function isA() {
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return getBucket() === bucket.A;
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function isControl() {
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return getBucket() === bucket.CONTROL;
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}
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function isB() {
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return getBucket() === bucket.B;
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function isTreatment() {
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return getBucket() === bucket.TREATMENT;
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}
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/**
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* Checks whether or not a user is in the AB-test,
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* @return {boolean}
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*/
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function isEnabled() {
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return getBucket() !== bucket.CONTROL; // I.e., `isA() || isB()`;
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function isSampled() {
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return getBucket() !== bucket.UNSAMPLED; // I.e., `isControl() || isTreatment()`
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}
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return {
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isA: isA,
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isB: isB,
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isEnabled: isEnabled
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isControl: isControl,
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isTreatment: isTreatment,
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isSampled: isSampled
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};
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}
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@ -12,9 +12,9 @@
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QUnit.test( 'Bucketing test', function ( assert ) {
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var userBuckets = {
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unsampled: 0,
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control: 0,
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A: 0,
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B: 0
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treatment: 0
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},
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maxUsers = 1000,
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bucketingTest,
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sessionId: mw.user.generateRandomSessionId()
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} );
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bucketingTest = new AB( config );
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if ( bucketingTest.isA() ) {
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++userBuckets.A;
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} else if ( bucketingTest.isB() ) {
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++userBuckets.B;
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} else if ( !bucketingTest.isEnabled() ) {
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if ( bucketingTest.isControl() ) {
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++userBuckets.control;
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} else if ( bucketingTest.isTreatment() ) {
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++userBuckets.treatment;
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} else if ( !bucketingTest.isSampled() ) {
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++userBuckets.unsampled;
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} else {
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throw new Error( 'Unknown bucket!' );
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}
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}
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assert.strictEqual(
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( userBuckets.control / maxUsers > 0.4 ) &&
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( userBuckets.control / maxUsers < 0.6 ),
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true, 'test control group is about 50% (' + userBuckets.control / 10 + '%)' );
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( userBuckets.unsampled / maxUsers > 0.4 ) &&
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( userBuckets.unsampled / maxUsers < 0.6 ),
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true, 'test unsampled group is about 50% (' + userBuckets.unsampled / 10 + '%)' );
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assert.strictEqual(
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( userBuckets.A / maxUsers > 0.2 ) &&
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( userBuckets.A / maxUsers < 0.3 ),
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true, 'test group A is about 25% (' + userBuckets.A / 10 + '%)' );
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( userBuckets.control / maxUsers > 0.2 ) &&
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( userBuckets.control / maxUsers < 0.3 ),
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true, 'test control group is about 25% (' + userBuckets.control / 10 + '%)' );
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assert.strictEqual(
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( userBuckets.B / maxUsers > 0.2 ) &&
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( userBuckets.B / maxUsers < 0.3 ),
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true, 'test group B is about 25% (' + userBuckets.B / 10 + '%)' );
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( userBuckets.treatment / maxUsers > 0.2 ) &&
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( userBuckets.treatment / maxUsers < 0.3 ),
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true, 'test new treatment group is about 25% (' + userBuckets.treatment / 10 + '%)' );
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} );
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}( mw.mobileFrontend ) );
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