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node-nlp

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Library for NLU (Natural Language Understanding) done in Node.js

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/** * @module botbuilder */ /** * Copyright (c) Microsoft Corporation. All rights reserved. * Licensed under the MIT License. */ export class EndorsementsValidator { /** * Verify that the set of ChannelIds, which come from the incoming activities, * all match the endorsements found on the JWT Token. * For example, if an Activity comes from webchat, that channelId says * says "webchat" and the jwt token endorsement MUST match that. * @param channelId The channel name, typically extracted from the activity.ChannelId field, that to which the Activity is affinitized. * @param endorsements Whoever signed the JWT token is permitted to send activities only for * some specific channels. That list is the endorsement list, and is validated here against the channelId. * @returns {boolean} True is the channelId is found in the Endorsement set. False if the channelId is not found. */ public static validate(channelId: string, endorsements: string[]): boolean { // If the Activity came in and doesn't have a Channel ID then it's making no // assertions as to who endorses it. This means it should pass. if (channelId === null || channelId.trim() === '') { return true; } if (endorsements === null) { throw new Error('endorsements required'); } // The Call path to get here is: // JwtTokenValidation.AuthenticateRequest // -> // JwtTokenValidation.ValidateAuthHeader // -> // ChannelValidation.AuthenticateChannelToken // -> // JWTTokenExtractor // Does the set of endorsements match the channelId that was passed in? // ToDo: Consider moving this to a HashSet instead of a string // array, to make lookups O(1) instead of O(N). To give a sense // of scope, tokens from WebChat have about 10 endorsements, and // tokens coming from Teams have about 20. return endorsements.some((value: string) => value === channelId); } }