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@atomist/sdm-pack-aspect

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an Atomist SDM Extension Pack for visualizing drift across an organization

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"use strict"; /* * Copyright © 2019 Atomist, Inc. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) { function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); } return new (P || (P = Promise))(function (resolve, reject) { function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } } function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } } function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); } step((generator = generator.apply(thisArg, _arguments || [])).next()); }); }; Object.defineProperty(exports, "__esModule", { value: true }); const _ = require("lodash"); /** * Retrieve all fingerprints, then compute and store fingerprint_analytics for the whole workspace */ function computeAnalytics(persister, workspaceId) { return __awaiter(this, void 0, void 0, function* () { const allFingerprints = yield persister.fingerprintsInWorkspace(workspaceId, false); const fingerprintKinds = yield persister.distinctFingerprintKinds(workspaceId); const persistThese = fingerprintKinds.map((kind) => { const fingerprintsOfKind = allFingerprints.filter(f => f.type === kind.type && f.name === kind.name); const cohortAnalysis = analyzeCohort(fingerprintsOfKind); return { workspaceId, kind, cohortAnalysis }; }); yield persister.persistAnalytics(persistThese); }); } exports.computeAnalytics = computeAnalytics; /** * Calculate and persist entropy for one fingerprint kind */ function computeAnalyticsForFingerprintKind(persister, workspaceId, type, name) { return __awaiter(this, void 0, void 0, function* () { const fingerprints = yield persister.fingerprintsInWorkspace(workspaceId, false, type, name); if (fingerprints.length === 0) { return; } const cohortAnalysis = analyzeCohort(fingerprints); yield persister.persistAnalytics([{ workspaceId, kind: { type, name }, cohortAnalysis }]); }); } exports.computeAnalyticsForFingerprintKind = computeAnalyticsForFingerprintKind; /** * Analyze a cohort of the same kind of fingerprints */ function analyzeCohort(fps) { const groups = _.groupBy(fps, fp => fp.sha); const count = fps.length; const entropy = -1 * Object.values(groups).reduce((agg, fp) => { const p = fp.length / count; return agg + p * Math.log(p); }, 0); return { entropy, variants: Object.values(groups).length, count, compliance: undefined, }; } exports.analyzeCohort = analyzeCohort; //# sourceMappingURL=analytics.js.map