botbuilder-dialogs-adaptive
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Rule system for the Microsoft BotBuilder dialog system.
69 lines (64 loc) • 2.89 kB
text/typescript
/**
* @module botbuilder-dialogs-adaptive
*/
/**
* Copyright (c) Microsoft Corporation. All rights reserved.
* Licensed under the MIT License.
*/
import { Activity, ActivityTypes, RecognizerResult } from 'botbuilder';
import { DialogContext } from 'botbuilder-dialogs';
import { AdaptiveRecognizer } from './adaptiveRecognizer';
import { TelemetryLoggerConstants } from '../telemetryLoggerConstants';
/**
* ValueRecognizer - Recognizer for mapping message activity. Value payload into intent/entities.
*
* @remarks
* This recognizer will map MessageActivity Value payloads into intents and entities.
* activity.Value.intent => RecognizerResult.Intents.
* activity.Value.properties => RecognizerResult.Entities.
*/
export class ValueRecognizer extends AdaptiveRecognizer {
/**
* 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.
*/
async recognize(
dialogContext: DialogContext,
activity: Activity,
telemetryProperties?: { [key: string]: string },
telemetryMetrics?: { [key: string]: number },
): Promise<RecognizerResult> {
const recognizerResult: RecognizerResult = {
text: activity.text,
intents: {},
entities: {},
};
if (activity.type == ActivityTypes.Message) {
if (!activity.text && activity.value) {
const value = activity.value;
for (const property in value) {
if (property.toLowerCase() == 'intent') {
recognizerResult.intents[value[property]] = { score: 1.0 };
} else {
if (!Object.hasOwnProperty.call(recognizerResult.entities, property)) {
recognizerResult.entities[property] = [];
}
recognizerResult.entities[property].push(value[property]);
}
}
}
}
this.trackRecognizerResult(
dialogContext,
TelemetryLoggerConstants.ValueRecognizerResultEvent,
this.fillRecognizerResultTelemetryProperties(recognizerResult, telemetryProperties, dialogContext),
telemetryMetrics,
);
return recognizerResult;
}
}