botbuilder-dialogs-adaptive
Version:
Rule system for the Microsoft BotBuilder dialog system.
72 lines • 3.73 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.EntityRecognizerSet = void 0;
const textEntity_1 = require("./textEntity");
/**
* EntityRecognizerSet - Implements a workflow against a pool of [EntityRecognizer](xref:botbuilder-dialogs-adaptive.EntityRecognizer) instances, iterating until nobody has anything new to add.
*/
class EntityRecognizerSet extends Array {
/**
* Implement [EntityRecognizer.recognizeEntities](xref:botbuilder-dialogs-adaptive.EntityRecognizer.recognizeEntities) by iterating against the Recognizer pool.
*
* @param dialogContext [DialogContext](xref:botbuilder-dialogs.DialogContext) for the current turn of conversation.
* @param text Text to recognize.
* @param locale Locale to use.
* @param entities The [Entity](xref:botframework-schema.Entity) array to be recognized. If no entities are passed in, it will generate a [TextEntity](xref:botbuilder-dialogs-adaptive.TextEntity).
* @returns Recognized [Entity](xref:botframework-schema.Entity) list Promise.
*/
recognizeEntities(dialogContext, text, locale, entities = []) {
return __awaiter(this, void 0, void 0, function* () {
const allNewEntities = [];
let entitiesToProcess = [...entities];
if (entitiesToProcess.length == 0) {
const textEntity = new textEntity_1.TextEntity(text);
textEntity['start'] = 0;
textEntity['end'] = text.length;
textEntity['score'] = 1.0;
allNewEntities.push(textEntity);
entitiesToProcess.push(textEntity);
}
do {
const newEntitiesToProcess = [];
for (let i = 0; i < this.length; i++) {
const recognizer = this[i];
try {
const newEntities = yield recognizer.recognizeEntities(dialogContext, text, locale, entitiesToProcess);
for (let j = 0; j < newEntities.length; j++) {
const newEntity = newEntities[j];
if (!allNewEntities.find((entity) => !newEntity && JSON.stringify(entity) == JSON.stringify(newEntity))) {
allNewEntities.push(newEntity);
newEntitiesToProcess.push(newEntity);
}
}
}
catch (e) {
console.log(e);
}
}
entitiesToProcess = newEntitiesToProcess;
} while (entitiesToProcess.length > 0);
return allNewEntities;
});
}
}
exports.EntityRecognizerSet = EntityRecognizerSet;
EntityRecognizerSet.$kind = 'Microsoft.EntityRecognizerSet';
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