botbuilder-dialogs-adaptive
Version:
Rule system for the Microsoft BotBuilder dialog system.
96 lines • 5.13 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.MultiLanguageRecognizer = void 0;
const languagePolicy_1 = require("../languagePolicy");
const converters_1 = require("../converters");
const languageGeneratorExtensions_1 = require("../languageGeneratorExtensions");
const adaptiveRecognizer_1 = require("./adaptiveRecognizer");
const telemetryLoggerConstants_1 = require("../telemetryLoggerConstants");
/**
* Defines map of languages -> recognizer.
*/
class MultiLanguageRecognizer extends adaptiveRecognizer_1.AdaptiveRecognizer {
/**
* @param property The key of the conditional selector configuration.
* @returns The converter for the selector configuration.
*/
getConverter(property) {
switch (property) {
case 'languagePolicy':
return new languagePolicy_1.LanguagePolicyConverter();
case 'recognizers':
return converters_1.MultiLanguageRecognizerConverter;
default:
return super.getConverter(property);
}
}
/**
* Runs current DialogContext.TurnContext.Activity through a recognizer and returns a [RecognizerResult](xref:botbuilder-core.RecognizerResult).
*
* @param dialogContext The [DialogContext](xref:botbuilder-dialogs.DialogContext) for the current turn of conversation.
* @param activity [Activity](xref:botframework-schema.Activity) to recognize.
* @param telemetryProperties Optional, additional properties to be logged to telemetry with the LuisResult event.
* @param telemetryMetrics Optional, additional metrics to be logged to telemetry with the LuisResult event.
* @returns {Promise<RecognizerResult>} Analysis of utterance.
*/
recognize(dialogContext, activity, telemetryProperties, telemetryMetrics) {
var _a;
return __awaiter(this, void 0, void 0, function* () {
let languagepolicy = this.languagePolicy;
if (!languagepolicy) {
languagepolicy = dialogContext.services.get(languageGeneratorExtensions_1.languagePolicyKey);
if (!languagepolicy) {
languagepolicy = new languagePolicy_1.LanguagePolicy();
}
}
const locale = ((_a = activity.locale) !== null && _a !== void 0 ? _a : '').toLowerCase();
const policy = [];
if (languagepolicy.has(locale)) {
policy.push(...languagepolicy.get(locale));
}
if (locale !== '' && languagepolicy.has('')) {
// we now explictly add defaultPolicy instead of coding that into target's policy
policy.push(...languagepolicy.get(''));
}
const lowercaseRecognizerKeyLookup = Object.keys(this.recognizers).reduce((acc, key) => {
acc[key.toLowerCase()] = key;
return acc;
}, {});
for (const option of policy) {
const recognizerKey = lowercaseRecognizerKeyLookup[option.toLowerCase()];
if (recognizerKey !== undefined) {
const recognizer = this.recognizers[recognizerKey];
const result = yield recognizer.recognize(dialogContext, activity, telemetryProperties, telemetryMetrics);
this.trackRecognizerResult(dialogContext, telemetryLoggerConstants_1.TelemetryLoggerConstants.MultiLanguageRecognizerResultEvent, this.fillRecognizerResultTelemetryProperties(result, telemetryProperties, dialogContext), telemetryMetrics);
return result;
}
}
const recognizerResult = {
text: activity.text || '',
intents: {},
entities: {},
};
this.trackRecognizerResult(dialogContext, telemetryLoggerConstants_1.TelemetryLoggerConstants.MultiLanguageRecognizerResultEvent, this.fillRecognizerResultTelemetryProperties(recognizerResult, telemetryProperties, dialogContext), telemetryMetrics);
return recognizerResult;
});
}
}
exports.MultiLanguageRecognizer = MultiLanguageRecognizer;
MultiLanguageRecognizer.$kind = 'Microsoft.MultiLanguageRecognizer';
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