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/* This Source Code Form is subject to the terms of the Mozilla Public
* License, v. 2.0. If a copy of the MPL was not distributed with this
* file, You can obtain one at http://mozilla.org/MPL/2.0/. */
import { ExperimentStore } from "resource://nimbus/lib/ExperimentStore.sys.mjs";
import { FileTestUtils } from "resource://testing-common/FileTestUtils.sys.mjs";
const lazy = {};
ChromeUtils.defineESModuleGetters(lazy, {
ExperimentAPI: "resource://nimbus/ExperimentAPI.sys.mjs",
FeatureManifest: "resource://nimbus/FeatureManifest.sys.mjs",
JsonSchema: "resource://gre/modules/JsonSchema.sys.mjs",
NetUtil: "resource://gre/modules/NetUtil.sys.mjs",
NimbusFeatures: "resource://nimbus/ExperimentAPI.sys.mjs",
NormandyUtils: "resource://normandy/lib/NormandyUtils.sys.mjs",
_ExperimentManager: "resource://nimbus/lib/ExperimentManager.sys.mjs",
_RemoteSettingsExperimentLoader:
"resource://nimbus/lib/RemoteSettingsExperimentLoader.sys.mjs",
});
function fetchSchemaSync(uri) {
// Yes, this is doing a sync load, but this is only done *once* and we cache
// the result after *and* it is test-only.
const channel = lazy.NetUtil.newChannel({
uri,
loadUsingSystemPrincipal: true,
});
const stream = Cc["@mozilla.org/scriptableinputstream;1"].createInstance(
Ci.nsIScriptableInputStream
);
stream.init(channel.open());
const available = stream.available();
const json = stream.read(available);
stream.close();
return JSON.parse(json);
}
ChromeUtils.defineLazyGetter(lazy, "enrollmentSchema", () => {
return fetchSchemaSync(
"resource://nimbus/schemas/NimbusEnrollment.schema.json"
);
});
const { SYNC_DATA_PREF_BRANCH, SYNC_DEFAULTS_PREF_BRANCH } = ExperimentStore;
const PATH = FileTestUtils.getTempFile("shared-data-map").path;
async function fetchSchema(url) {
const response = await fetch(url);
const schema = await response.json();
if (!schema) {
throw new Error(`Failed to load ${url}`);
}
return schema;
}
export const ExperimentTestUtils = {
_validateSchema(schema, value, errorMsg) {
const result = lazy.JsonSchema.validate(value, schema, {
shortCircuit: false,
});
if (result.errors.length) {
throw new Error(
`${errorMsg}: ${JSON.stringify(result.errors, undefined, 2)}`
);
}
return value;
},
_validateFeatureValueEnum({ branch }) {
let { features } = branch;
for (let feature of features) {
// If we're not using a real feature skip this check
if (!lazy.FeatureManifest[feature.featureId]) {
return true;
}
let { variables } = lazy.FeatureManifest[feature.featureId];
for (let varName of Object.keys(variables)) {
let varValue = feature.value[varName];
if (
varValue &&
variables[varName].enum &&
!variables[varName].enum.includes(varValue)
) {
throw new Error(
`${varName} should have one of the following values: ${JSON.stringify(
variables[varName].enum
)} but has value '${varValue}'`
);
}
}
}
return true;
},
/**
* Checks if an experiment is valid acording to existing schema
*/
async validateExperiment(experiment) {
const schema = await fetchSchema(
"resource://nimbus/schemas/NimbusExperiment.schema.json"
);
// Ensure that the `featureIds` field is properly set
const { branches } = experiment;
branches.forEach(branch => {
branch.features.map(({ featureId }) => {
if (!experiment.featureIds.includes(featureId)) {
throw new Error(
`Branch(${branch.slug}) contains feature(${featureId}) but that's not declared in recipe(${experiment.slug}).featureIds`
);
}
});
});
return this._validateSchema(
schema,
experiment,
`Experiment ${experiment.slug} not valid`
);
},
validateEnrollment(enrollment) {
// We still have single feature experiment recipes for backwards
// compatibility testing but we don't do schema validation
if (!enrollment.branch.features && enrollment.branch.feature) {
return true;
}
return (
this._validateFeatureValueEnum(enrollment) &&
this._validateSchema(
lazy.enrollmentSchema,
enrollment,
`Enrollment ${enrollment.slug} is not valid`
)
);
},
/**
* Add features for tests.
*
* These features will only be visible to the JS Nimbus client. The native
* Nimbus client will have no access.
*
* @params features A list of |_NimbusFeature|s.
*
* @returns A cleanup function to remove the features once the test has completed.
*/
addTestFeatures(...features) {
for (const feature of features) {
if (Object.hasOwn(lazy.NimbusFeatures, feature.featureId)) {
throw new Error(
`Cannot add feature ${feature.featureId} -- a feature with this ID already exists!`
);
}
lazy.NimbusFeatures[feature.featureId] = feature;
}
return () => {
for (const { featureId } of features) {
delete lazy.NimbusFeatures[featureId];
}
};
},
};
export const ExperimentFakes = {
manager(store) {
let sandbox = lazy.sinon.createSandbox();
let manager = new lazy._ExperimentManager({ store: store || this.store() });
// We want calls to `store.addEnrollment` to implicitly validate the
// enrollment before saving to store
let origAddExperiment = manager.store.addEnrollment.bind(manager.store);
sandbox.stub(manager.store, "addEnrollment").callsFake(enrollment => {
ExperimentTestUtils.validateEnrollment(enrollment);
return origAddExperiment(enrollment);
});
return manager;
},
store() {
return new ExperimentStore("FakeStore", {
path: PATH,
isParent: true,
});
},
waitForExperimentUpdate(ExperimentAPI, slug) {
return new Promise(resolve =>
ExperimentAPI._store.once(`update:${slug}`, resolve)
);
},
/**
* Enroll in an experiment branch with the given feature configuration.
*
* NB: It is unnecessary to await the enrollmentPromise.
*/
async enrollWithFeatureConfig(
featureConfig,
{
manager = lazy.ExperimentAPI._manager,
isRollout = false,
source,
slug = null,
branchSlug = "control",
} = {}
) {
await manager.store.ready();
const experimentId =
slug ??
`${featureConfig.featureId}-${
isRollout ? "rollout" : "experiment"
}-${Math.random()}`;
let recipe = this.recipe(experimentId, {
bucketConfig: {
namespace: "mstest-utils",
randomizationUnit: "normandy_id",
start: 0,
count: 1000,
total: 1000,
},
branches: [
{
slug: branchSlug,
ratio: 1,
features: [featureConfig],
},
],
isRollout,
});
const doEnrollmentCleanup = await this.enrollmentHelper(recipe, {
manager,
source,
});
return doEnrollmentCleanup;
},
/**
* Attempt enrollment in the given recipe.
*
* This will evaluate bucketing, so it is possible that enrollment will *not*
* occur.
*
* If you are testing a feature, you likely want to use enrollInFeatureConfig,
* which will guarantee successful enrollment.
*/
async enrollmentHelper(
recipe,
{ manager = lazy.ExperimentAPI._manager, source = "enrollmentHelper" } = {}
) {
if (!recipe?.slug) {
throw new Error("Enrollment helper expects a recipe");
}
const enrollment = await manager.enroll(recipe, source);
if (enrollment?.active) {
manager.store._syncToChildren({ flush: true });
}
return function doEnrollmentCleanup() {
manager.unenroll(enrollment.slug, "cleanup");
manager.store._deleteForTests(enrollment.slug);
};
},
async cleanupAll(slugs, { manager = lazy.ExperimentAPI._manager } = {}) {
function unenrollCompleted(slug) {
return new Promise(resolve =>
manager.store.on(`update:${slug}`, (event, experiment) => {
if (!experiment.active) {
// Removes recipe from file storage which
// (normally the users archive of past experiments)
manager.store._deleteForTests(slug);
resolve();
}
})
);
}
for (const slug of slugs) {
let promise = unenrollCompleted(slug);
manager.unenroll(slug, "cleanup");
await promise;
}
if (manager.store.getAllActiveExperiments().length) {
throw new Error("Cleanup failed");
}
},
// Experiment store caches in prefs Enrollments for fast sync access
cleanupStorePrefCache() {
try {
Services.prefs.deleteBranch(SYNC_DATA_PREF_BRANCH);
Services.prefs.deleteBranch(SYNC_DEFAULTS_PREF_BRANCH);
} catch (e) {
// Expected if nothing is cached
}
},
childStore() {
return new ExperimentStore("FakeStore", { isParent: false });
},
rsLoader() {
const loader = new lazy._RemoteSettingsExperimentLoader();
Object.defineProperty(loader.remoteSettingsClients, "experiments", {
value: { get: () => Promise.resolve([]) },
});
Object.defineProperty(loader.remoteSettingsClients, "secureExperiments", {
value: { get: () => Promise.resolve([]) },
});
loader.manager = this.manager();
return loader;
},
experiment(slug, props = {}) {
return {
slug,
active: true,
branch: {
slug: "treatment",
ratio: 1,
features: [
{
featureId: "testFeature",
value: { testInt: 123, enabled: true },
},
],
...props,
},
source: "NimbusTestUtils",
isEnrollmentPaused: true,
experimentType: "NimbusTestUtils experiment",
userFacingName: "NimbusTestUtils experiment",
userFacingDescription: "NimbusTestUtils",
lastSeen: new Date().toJSON(),
featureIds: props?.branch?.features?.map(f => f.featureId) || [
"testFeature",
],
...props,
};
},
rollout(slug, props = {}) {
return {
slug,
active: true,
isRollout: true,
branch: {
slug: "treatment",
ratio: 1,
features: [
{
featureId: "testFeature",
value: { testInt: 123, enabled: true },
},
],
...props,
},
source: "NimbusTestUtils",
isEnrollmentPaused: true,
experimentType: "rollout",
userFacingName: "NimbusTestUtils rollout",
userFacingDescription: "NimbusTestUtils rollout",
lastSeen: new Date().toJSON(),
featureIds: (props?.branch?.features || props?.features)?.map(
f => f.featureId
) || ["testFeature"],
...props,
};
},
recipe(slug = lazy.NormandyUtils.generateUuid(), props = {}) {
return {
// This field is required for populating remote settings
id: lazy.NormandyUtils.generateUuid(),
schemaVersion: "1.7.0",
appName: "firefox_desktop",
appId: "firefox-desktop",
channel: "nightly",
slug,
isEnrollmentPaused: false,
probeSets: [],
startDate: null,
endDate: null,
proposedEnrollment: 7,
referenceBranch: "control",
application: "firefox-desktop",
branches: ExperimentFakes.recipe.branches,
bucketConfig: ExperimentFakes.recipe.bucketConfig,
userFacingName: "NimbusTestUtils recipe",
userFacingDescription: "NimbusTestUtils recipe",
featureIds: props?.branches?.[0].features?.map(f => f.featureId) || [
"testFeature",
],
...props,
};
},
};
Object.defineProperty(ExperimentFakes.recipe, "bucketConfig", {
get() {
return {
namespace: "nimbus-test-utils",
randomizationUnit: "normandy_id",
start: 0,
count: 100,
total: 1000,
};
},
});
Object.defineProperty(ExperimentFakes.recipe, "branches", {
get() {
return [
{
slug: "control",
ratio: 1,
features: [
{
featureId: "testFeature",
value: { testInt: 123, enabled: true },
},
],
},
{
slug: "treatment",
ratio: 1,
features: [
{
featureId: "testFeature",
value: { testInt: 123, enabled: true },
},
],
},
];
},
});