public override async Task <RecognizerResult> RecognizeAsync(DialogContext dialogContext, Activity activity, CancellationToken cancellationToken, Dictionary <string, string> telemetryProperties = null, Dictionary <string, double> telemetryMetrics = null)
{
var dcState = dialogContext.GetState();
// Identify matched intents
var recognizerResult = new RecognizerResult()
{
Text = activity.Text,
Intents = new Dictionary <string, IntentScore>(),
};
if (string.IsNullOrEmpty(activity.Text))
{
recognizerResult.Intents.Add("None", new IntentScore());
return(recognizerResult);
}
List <Metadata> filters = new List <Metadata>();
if (IncludeDialogNameInMetadata.GetValue(dcState))
{
filters.Add(new Metadata()
{
Name = "dialogName", Value = dialogContext.ActiveDialog.Id
});
}
// if there is $qna.metadata set add to filters
var externalMetadata = this.Metadata?.GetValue(dcState);
if (externalMetadata != null)
{
filters.AddRange(externalMetadata);
}
// Calling QnAMaker to get response.
var qnaClient = await GetQnAMakerClientAsync(dialogContext).ConfigureAwait(false);
var answers = await qnaClient.GetAnswersAsync(
dialogContext.Context,
new QnAMakerOptions
{
Context = this.Context?.GetValue(dcState),
ScoreThreshold = this.Threshold.GetValue(dcState),
StrictFilters = filters.ToArray(),
Top = this.Top.GetValue(dcState),
QnAId = this.QnAId.GetValue(dcState),
RankerType = this.RankerType.GetValue(dcState),
IsTest = this.IsTest
},
null).ConfigureAwait(false);
if (answers.Any())
{
QueryResult topAnswer = null;
foreach (var answer in answers)
{
if ((topAnswer == null) || (answer.Score > topAnswer.Score))
{
topAnswer = answer;
}
}
if (topAnswer.Answer.Trim().ToLower().StartsWith(IntentPrefix))
{
recognizerResult.Intents.Add(topAnswer.Answer.Trim().Substring(IntentPrefix.Length).Trim(), new IntentScore()
{
Score = topAnswer.Score
});
}
else
{
recognizerResult.Intents.Add(QnAMatchIntent, new IntentScore()
{
Score = topAnswer.Score
});
}
var answerArray = new JArray();
answerArray.Add(topAnswer.Answer);
ObjectPath.SetPathValue(recognizerResult, "entities.answer", answerArray);
var instance = new JArray();
instance.Add(JObject.FromObject(topAnswer));
ObjectPath.SetPathValue(recognizerResult, "entities.$instance.answer", instance);
recognizerResult.Properties["answers"] = answers;
}
else
{
recognizerResult.Intents.Add("None", new IntentScore()
{
Score = 1.0f
});
}
this.TelemetryClient.TrackEvent("QnAMakerRecognizerResult", this.FillRecognizerResultTelemetryProperties(recognizerResult, telemetryProperties), telemetryMetrics);
return(recognizerResult);
}
public async override Task <RecognizerResult> RecognizeAsync(DialogContext dialogContext, Activity activity, CancellationToken cancellationToken = default, Dictionary <System.String, System.String> telemetryProperties = null, Dictionary <System.String, System.Double> telemetryMetrics = null)
{
var qluceneEngine = await QLuceneEngineCache.GetEngine(dialogContext, this.KnowledgeBase).ConfigureAwait(false);
var threshold = Threshold.GetValue(dialogContext);
var recognizerResult = new RecognizerResult
{
Text = activity.Text,
Intents = new Dictionary <string, IntentScore>(),
};
if (string.IsNullOrEmpty(activity.Text))
{
recognizerResult.Intents.Add("None", new IntentScore());
return(recognizerResult);
}
var rankerType = RankerType?.GetValue(dialogContext.State);
var strictFiltersCompoundOperationType = StrictFiltersCompoundOperationType?.GetValue(dialogContext.State);
var strictFilters = new List <Metadata>();
var context = Context?.GetValue(dialogContext.State);
bool includeDialogNameInMetadata = IncludeDialogNameInMetadata.GetValue(dialogContext.State);
if (includeDialogNameInMetadata)
{
strictFilters.Add(new Metadata
{
Name = "dialogName",
Value = dialogContext.ActiveDialog.Id
});
}
// if there is $qna.metadata set add to filters
var externalMetadata = StrictFilters?.GetValue(dialogContext.State);
if (externalMetadata != null)
{
strictFilters.AddRange(externalMetadata);
}
var topAnswer = qluceneEngine.GetAnswers(activity.Text,
strictFilters: strictFilters.ToArray(),
context: context,
threshold: threshold,
rankerType: rankerType,
strictFiltersCompoundOperationType: strictFiltersCompoundOperationType);
if (topAnswer != null)
{
if (topAnswer.Answer.Trim().ToUpperInvariant().StartsWith(IntentPrefix.ToUpperInvariant(), StringComparison.Ordinal))
{
recognizerResult.Intents.Add(topAnswer.Answer.Trim().Substring(IntentPrefix.Length).Trim(), new IntentScore {
Score = topAnswer.Score
});
}
else
{
recognizerResult.Intents.Add(QnAMatchIntent, new IntentScore {
Score = topAnswer.Score
});
}
var answerArray = new JArray();
answerArray.Add(topAnswer.Answer);
ObjectPath.SetPathValue(recognizerResult, "entities.answer", answerArray);
var instance = new JArray();
var data = JObject.FromObject(topAnswer);
data["startIndex"] = 0;
data["endIndex"] = activity.Text.Length;
instance.Add(data);
ObjectPath.SetPathValue(recognizerResult, "entities.$instance.answer", instance);
// recognizerResult.Properties["answers"] = answers;
}
else
{
recognizerResult.Intents.Add("None", new IntentScore {
Score = 1.0f
});
}
var traceInfo = new
{
recognizerResult,
options = new
{
id = this.Id,
knowledgeBase = this.KnowledgeBase,
scoreThreshold = threshold,
context,
rankerType,
strictFilters = strictFilters.ToArray(),
includeDialogNameInMetadata,
strictFiltersCompoundOperationType
}
};
await dialogContext.Context.TraceActivityAsync(nameof(QLuceneRecognizer), traceInfo, TraceType, TraceLabel, cancellationToken).ConfigureAwait(false);
return(recognizerResult);
}