botbuilder-dialogs-adaptive
Version:
Rule system for the Microsoft BotBuilder dialog system.
61 lines • 3.1 kB
JavaScript
;
/**
* @module botbuilder-dialogs-adaptive
*/
/**
* Copyright (c) Microsoft Corporation. All rights reserved.
* Licensed under the MIT 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 });
exports.TextEntityRecognizer = void 0;
const recognizers_text_1 = require("@microsoft/recognizers-text");
const entityRecognizer_1 = require("./entityRecognizer");
const textEntity_1 = require("./textEntity");
/**
* TextEntityRecognizer - base class for Text.Recogizers from the text recognizer library.
*/
class TextEntityRecognizer extends entityRecognizer_1.EntityRecognizer {
/**
* Recognizes entities from an [Entity](xref:botframework-schema.Entity) list.
*
* @param {DialogContext} dialogContext The [DialogContext](xref:botbuilder-dialogs.DialogContext) for the current turn of conversation.
* @param {string} text Text to recognize.
* @param {string} locale Locale to use.
* @param {Entity[]} entities The [Entity](xref:botframework-schema.Entity) array to be recognized.
* @returns {Promise<Entity[]>} Recognized [Entity](xref:botframework-schema.Entity) list Promise.
*/
recognizeEntities(dialogContext, text, locale, entities) {
return __awaiter(this, void 0, void 0, function* () {
const culture = recognizers_text_1.Culture.mapToNearestLanguage(locale !== null && locale !== void 0 ? locale : '');
return entities
.filter((e) => e.type == 'text')
.map((e) => {
const textEntity = new textEntity_1.TextEntity();
return Object.assign(textEntity, e);
})
.reduce((entities, textEntity) => {
return entities.concat(this._recognize(textEntity.text, culture).map((result) => {
const newEntity = Object.assign({
type: result.typeName,
}, result);
delete newEntity.typeName;
// The text recognizer libraries return models with End => array inclusive endIndex.
// We want end to be (end-start) = length, length = endIndex - startIndex.
newEntity.end += 1;
return newEntity;
}));
}, []);
});
}
}
exports.TextEntityRecognizer = TextEntityRecognizer;
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