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botbuilder-dialogs

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A dialog stack based conversation manager for Microsoft BotBuilder.

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/** * @module botbuilder-dialogs */ /** * Copyright (c) Microsoft Corporation. All rights reserved. * Licensed under the MIT License. */ import * as Recognizers from '@microsoft/recognizers-text-number'; import { Choice, findChoices, FindChoicesOptions, FoundChoice } from './findChoices'; import { ModelResult } from './modelResult'; /** * High level function for recognizing a choice in a users utterance. * * @remarks * This is layered above the `findChoices()` function and adds logic to let the user specify their * choice by index (they can say "one" to pick `choice[0]`) or ordinal position (they can say "the * second one" to pick `choice[1]`.) The users utterance is recognized in the following order: * * - By name using `findChoices()`. * - By 1's based ordinal position. * - By 1's based index position. * * ```JavaScript * const { recognizeChoices } = require('botbuilder-choices'); * * const choices = ['red', 'green', 'blue']; * const utterance = context.activity.text; * const results = recognizeChoices(utterance, choices); * if (results.length == 1) { * await context.sendActivity(`I like ${results[0].resolution.value} too!`); * } else if (results.length > 1) { * const ambiguous = results.map((r) => r.resolution.value); * await context.sendActivity(ChoiceFactory.forChannel(context, ambiguous, `Which one?`)); * } else { * await context.sendActivity(ChoiceFactory.forChannel(context, choices, `I didn't get that... Which color?`)); * } * ``` * @param utterance The text or user utterance to search over. For an incoming 'message' activity you can simply use `context.activity.text`. * @param choices List of choices to search over. * @param options (Optional) options used to tweak the search that's performed. * @returns A list of found choices, sorted by most relevant first. */ export function recognizeChoices( utterance: string, choices: (string | Choice)[], options?: FindChoicesOptions ): ModelResult<FoundChoice>[] { function matchChoiceByIndex(match: ModelResult<any>): void { try { const index: number = parseInt(match.resolution.value, 10) - 1; if (index >= 0 && index < list.length) { const choice: Choice = list[index]; matched.push({ start: match.start, end: match.end, typeName: 'choice', text: match.text, resolution: { value: choice.value, index: index, score: 1, }, }); } } catch { // noop // TODO: Should this log an error or do something? } } // Initialize options options = Object.assign( { locale: 'en-us', recognizeNumbers: true, recognizeOrdinals: true, } as FindChoicesOptions, options ); // Normalize choices const list: Choice[] = (choices || []) .map((choice: Choice) => (typeof choice === 'string' ? { value: choice } : choice)) .filter( (choice: Choice) => choice // TODO: does this do anything? ); // Try finding choices by text search first // - We only want to use a single strategy for returning results to avoid issues where utterances // like the "the third one" or "the red one" or "the first division book" would miss-recognize as // a numerical index or ordinal as well. let matched: ModelResult<FoundChoice>[] = findChoices(utterance, list, options); if (matched.length === 0) { // Next try finding by ordinal if (options.recognizeOrdinals) { const ordinals: ModelResult[] = Recognizers.recognizeOrdinal(utterance, options.locale); ordinals.forEach(matchChoiceByIndex); } // Finally try by numerical index if (matched.length === 0 && options.recognizeNumbers) { Recognizers.recognizeNumber(utterance, options.locale).forEach(matchChoiceByIndex); } // Sort any found matches by their position within the utterance. // - The results from findChoices() are already properly sorted so we just need this // for ordinal & numerical lookups. matched = matched.sort((a: ModelResult<FoundChoice>, b: ModelResult<FoundChoice>) => a.start - b.start); } return matched; }