botbuilder-dialogs-adaptive
Version:
Rule system for the Microsoft BotBuilder dialog system.
74 lines • 3.77 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.ChannelMentionEntityRecognizer = void 0;
const adaptiveRecognizer_1 = require("../adaptiveRecognizer");
/**
* Recognizer which maps channel activity.entities of type mention into [RecognizerResult](xref:botbuilder-core.RecognizerResult) format.
*/
class ChannelMentionEntityRecognizer extends adaptiveRecognizer_1.AdaptiveRecognizer {
/**
* To recognize intents and entities in a users utterance.
*
* @param {DialogContext} _dialogContext Dialog Context.
* @param {Partial<Activity>} activity Activity.
* @param {object} _telemetryProperties Additional properties to be logged to telemetry with event.
* @param {object} _telemetryMetrics Additional metrics to be logged to telemetry with event.
* @returns {Promise<RecognizerResult>} Analysis of utterance.
*/
recognize(_dialogContext, activity, _telemetryProperties, _telemetryMetrics) {
return __awaiter(this, void 0, void 0, function* () {
const result = {
text: '',
intents: {},
entities: {},
};
const entities = result.entities;
// prompt external mention entities from the activity into recognizer result
if (activity.entities) {
let iStart = 0;
activity.entities
.filter((e) => e.type === 'mention')
.forEach((entity) => {
var _a, _b, _c;
(_a = entities.channelMention) !== null && _a !== void 0 ? _a : (entities.channelMention = []);
entities.channelMention.push(entity.mentioned);
(_b = entities['$instance']) !== null && _b !== void 0 ? _b : (entities['$instance'] = {});
const instance = entities['$instance'];
(_c = instance.channelMention) !== null && _c !== void 0 ? _c : (instance.channelMention = []);
const mentionedText = `${entity.text}`;
iStart = activity.text.indexOf(mentionedText, iStart);
if (iStart >= 0) {
instance.channelMention.push({
startIndex: iStart,
endIndex: iStart + mentionedText.length,
text: mentionedText,
score: 1.0,
});
// note, we increment so next pass through continues after the token we just processed.
iStart++;
}
});
}
return result;
});
}
}
exports.ChannelMentionEntityRecognizer = ChannelMentionEntityRecognizer;
ChannelMentionEntityRecognizer.$kind = 'Microsoft.ChannelMentionEntityRecognizer';
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