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prepare 5.10.1 release (#167)
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LaunchDarklyCI authored Jan 6, 2020
1 parent 77c4660 commit dc84212
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34 changes: 23 additions & 11 deletions evaluate_flag.js
Original file line number Diff line number Diff line change
Expand Up @@ -295,18 +295,30 @@ function variationForUser(r, user, flag) {
if (r.variation != null) {
// This represets a fixed variation; return it
return r.variation;
} else if (r.rollout != null) {
// This represents a percentage rollout. Assume
// we're rolling out by key
const bucketBy = r.rollout.bucketBy != null ? r.rollout.bucketBy : 'key';
const bucket = bucketUser(user, flag.key, bucketBy, flag.salt);
let sum = 0;
for (let i = 0; i < r.rollout.variations.length; i++) {
const variate = r.rollout.variations[i];
sum += variate.weight / 100000.0;
if (bucket < sum) {
return variate.variation;
}
const rollout = r.rollout;
if (rollout) {
const variations = rollout.variations;
if (variations && variations.length > 0) {
// This represents a percentage rollout. Assume
// we're rolling out by key
const bucketBy = rollout.bucketBy || 'key';
const bucket = bucketUser(user, flag.key, bucketBy, flag.salt);
let sum = 0;
for (let i = 0; i < variations.length; i++) {
const variate = variations[i];
sum += variate.weight / 100000.0;
if (bucket < sum) {
return variate.variation;
}
}

// The user's bucket value was greater than or equal to the end of the last bucket. This could happen due
// to a rounding error, or due to the fact that we are scaling to 100000 rather than 99999, or the flag
// data could contain buckets that don't actually add up to 100000. Rather than returning an error in
// this case (or changing the scaling, which would potentially change the results for *all* users), we
// will simply put the user in the last bucket.
return variations[variations.length - 1].variation;
}
}

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60 changes: 60 additions & 0 deletions test/evaluate_flag-test.js
Original file line number Diff line number Diff line change
Expand Up @@ -696,6 +696,66 @@ describe('evaluate', () => {
});
});

describe('rollout', () => {
it('selects bucket', done => {
const user = { key: 'userkey' };
const flagKey = 'flagkey';
const salt = 'salt';

// First verify that with our test inputs, the bucket value will be greater than zero and less than 100000,
// so we can construct a rollout whose second bucket just barely contains that value
const bucketValue = Math.floor(evaluate.bucketUser(user, flagKey, 'key', salt) * 100000);
expect(bucketValue).toBeGreaterThan(0);
expect(bucketValue).toBeLessThan(100000);

const badVariationA = 0, matchedVariation = 1, badVariationB = 2;
const rollout = {
variations: [
{ variation: badVariationA, weight: bucketValue }, // end of bucket range is not inclusive, so it will *not* match the target value
{ variation: matchedVariation, weight: 1 }, // size of this bucket is 1, so it only matches that specific value
{ variation: badVariationB, weight: 100000 - (bucketValue + 1) }
]
};
const flag = {
key: flagKey,
salt: salt,
on: true,
fallthrough: { rollout: rollout },
variations: [ null, null, null ]
};
evaluate.evaluate(flag, user, featureStore, eventFactory, (err, detail) => {
expect(err).toEqual(null);
expect(detail.variationIndex).toEqual(matchedVariation);
done();
});
});

it('uses last bucket if bucket value is equal to total weight', done => {
const user = { key: 'userkey' };
const flagKey = 'flagkey';
const salt = 'salt';

// We'll construct a list of variations that stops right at the target bucket value
const bucketValue = Math.floor(evaluate.bucketUser(user, flagKey, 'key', salt) * 100000);

const rollout = {
variations: [ { variation: 0, weight: bucketValue }]
};
const flag = {
key: flagKey,
salt: salt,
on: true,
fallthrough: { rollout: rollout },
variations: [ null, null, null ]
};
evaluate.evaluate(flag, user, featureStore, eventFactory, (err, detail) => {
expect(err).toEqual(null);
expect(detail.variationIndex).toEqual(0);
done();
});
});
});

describe('bucketUser', () => {
it('gets expected bucket values for specific keys', () => {
var user = { key: 'userKeyA' };
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