private static async Task EvaluateAndRespondToSentimentAsync(ITurnContext <IMessageActivity> context, SentimentBatchResultItem sentiment, string languageCode, CancellationToken cancellationToken)
{
// If there's no Sentiment object or score value, quit now.
if (sentiment?.Score == null)
{
return;
}
var sentimentResponse = string.Empty;
try
{
// Score ranges from 0.0 to 1, with 4 decimals of precision
if (sentiment.Score <= 0.1)
{
// If the sentiment is lower than 3%, respond with apologies and recommend to reach out to support
sentimentResponse = "I'm sorry you're having problems. If you'd like to talk to a person, please email [email protected] and they will be able to assist further.";
}
else if (sentiment.Score >= 0.95)
{
// if the sentiment is in the top 97%, respond with a reminder to leave a review for the app.
sentimentResponse = "I'm happy to see you're enjoying our services. Please consider leaving an app review after you're done today!";
}
// If there's no response needed, quit now.
if (string.IsNullOrEmpty(sentimentResponse))
{
return;
}
// Check to see if we need to translate the response.
if (languageCode != "en")
{
using (var translationClient = new TextTranslationServiceClient(SubscriptionKeys.TextTranslationServiceKey))
{
if (!string.IsNullOrEmpty(sentimentResponse))
{
var translationResult = await translationClient.TranslateAsync(sentimentResponse, languageCode);
var translatedSentimentResponse = translationResult.Translations.FirstOrDefault()?.Text;
if (!string.IsNullOrEmpty(translatedSentimentResponse))
{
// If we were able to translate the message, update the message we're sending.
sentimentResponse = translatedSentimentResponse;
}
}
}
}
// Reply with the sentiment response.
await context.SendActivityAsync(MessageFactory.Text(sentimentResponse, sentimentResponse), cancellationToken);
}
catch (Exception ex)
{
var replyText = $"EvaluateAndRespondToSentimentAsync Exception: {ex.Message}";
await context.SendActivityAsync(MessageFactory.Text(replyText, replyText), cancellationToken);
}
}
protected override async Task OnMessageActivityAsync(ITurnContext <IMessageActivity> context, CancellationToken cancellationToken)
{
var message = context.Activity;
// To quickly test the bot after deploy to ensure the version we want is available.
if (message.Text.ToLower().Equals("bot version"))
{
var version = typeof(SupportBot).Assembly.GetName().Version;
var replyText = $"Art Gallery Support Assistant v{version?.Major}.{version?.Minor}.{version?.Build}.{version?.Revision}";
await context.SendActivityAsync(MessageFactory.Text(replyText, replyText), cancellationToken);
return;
}
// ******************************* Cognitive Services - Text Analysis API ******************************* //
using var textAnalyticsClient = new TextAnalyticsClient(new TextAnalysisServiceClientCredentials(SubscriptionKeys.TextAnalysisServiceKey))
{
Endpoint = "https://eastus.api.cognitive.microsoft.com/"
};
var langResult = await textAnalyticsClient.DetectLanguageAsync(false, new LanguageBatchInput(new List <LanguageInput>
{
new LanguageInput(id: "1", text: message.Text)
}), cancellationToken : cancellationToken);
await context.TraceActivityAsync("OnMessageActivity Trace", langResult, "LanguageResult", cancellationToken : cancellationToken);
var languageCode = string.Empty;
foreach (var document in langResult.Documents)
{
// Pick the language with the highest score
var bestLanguage = document.DetectedLanguages?.OrderByDescending(l => l.Score).FirstOrDefault();
if (string.IsNullOrEmpty(languageCode) && bestLanguage != null)
{
languageCode = bestLanguage.Iso6391Name.ToLower();
await context.TraceActivityAsync("OnMessageActivity Trace", languageCode, "string", cancellationToken : cancellationToken);
}
}
// If we couldn't detect language
if (string.IsNullOrEmpty(languageCode))
{
var replyText = "We could not determine what language you're using. Please try again.";
await context.SendActivityAsync(MessageFactory.Text(replyText, replyText), cancellationToken);
return;
}
// ******************************* Cognitive Services - Text Translation API ******************************* //
var query = string.Empty;
// If the detected language was not English, translate it before sending to LUIS
if (languageCode != "en")
{
try
{
using var translationClient = new TextTranslationServiceClient(SubscriptionKeys.TextTranslationServiceKey);
var result = await translationClient.TranslateAsync(message.Text, "en");
var translatedQuery = result?.Translations?.FirstOrDefault()?.Text;
if (!string.IsNullOrEmpty(translatedQuery))
{
query = translatedQuery;
}
}
catch (Exception ex)
{
var replyText = $"RespondWithTranslatedReply Exception: {ex.Message}";
await context.SendActivityAsync(MessageFactory.Text(replyText, replyText), cancellationToken);
}
}
else
{
query = message.Text;
}
// ******************************* Cognitive Services - LUIS (Natural Language Understanding) API ******************************* //
using var luisClient = new LUISRuntimeClient(new ApiKeyServiceClientCredentials(SubscriptionKeys.LuisPredictionKey));
luisClient.Endpoint = SubscriptionKeys.LuisEndpoint;
// Prepare a prediction request
var predictionRequest = new PredictionRequest
{
Query = query
};
// Request a prediction, returns a PredictionResponse
var predictionResponse = await luisClient.Prediction.GetSlotPredictionAsync(
Guid.Parse(SubscriptionKeys.LuisAppId),
"production",
predictionRequest,
verbose : true,
showAllIntents : true,
log : true,
cancellationToken : cancellationToken);
// You will get a full list of intents. For the purposes of this demo, we'll just use the highest scoring intent.
var topScoringIntent = predictionResponse.Prediction.TopIntent;
// Respond to the user depending on the detected intent of their query
var respondedToQuery = await RespondWithEnglishAsync(context, topScoringIntent, languageCode, cancellationToken);
// ******************************* Cognitive Services - Sentiment Analysis ******************************* //
// Only evaluate sentiment if we've given a meaningful reply (and not connection or service error messages).
if (respondedToQuery)
{
// Use Text Analytics Sentiment analysis
var sentimentResult = await textAnalyticsClient.SentimentAsync(
multiLanguageBatchInput : new MultiLanguageBatchInput(new List <MultiLanguageInput>
{
new MultiLanguageInput(id: "1", text: query, language: languageCode)
}),
cancellationToken : cancellationToken);
if (sentimentResult?.Documents?.Count > 0)
{
await context.TraceActivityAsync("SentimentAsync Trace", sentimentResult.Documents[0], "SentimentBatchResultItem", cancellationToken : cancellationToken);
SentimentBatchResultItem sentimentItem = sentimentResult.Documents[0];
// Use the sentiment score to determine if we need to react, the range is 0 (angriest) to 1 (happiest)
await EvaluateAndRespondToSentimentAsync(context, sentimentItem, languageCode, cancellationToken);
}
}
}
