public async Task <AnalysisResponse> ProcessAsync(string input, Message messageOriginator, CancellationToken cancellationToken)
{
var request = new AnalysisRequest
{
Text = input
};
var analysisResponse = await _artificialIntelligenceExtension.AnalyzeAsync(request, cancellationToken);
var bestIntention = analysisResponse
.Intentions
.OrderByDescending(i => i.Score)
.FirstOrDefault();
var bestIntentionAnswer = bestIntention.Answer.Value.ToString();
if (HasLowConfidence(bestIntention))
{
await SendCommandToMPAAsync(DontKnowCommand, messageOriginator, cancellationToken);
return(analysisResponse);
}
//Send to MPA
await _sender.SendMessageAsync(bestIntentionAnswer, messageOriginator.From, cancellationToken);
await Task.Delay(_settings.MPASettings.WaitBetweenSends);
await SendCommandToMPAAsync(InitialFlowCommand, messageOriginator, cancellationToken);
return(analysisResponse);
}
private Lazy <Task <AnalysisResponse> > CreateLazyAnalyzedContent(Identity userIdentity) => new Lazy <Task <AnalysisResponse> >(async() =>
{
// Only analyze the input if the type is plain text or analyzable metadata is true.
if (!_analyzable.Value && Content.GetMediaType() != PlainText.MediaType)
{
return(null);
}
try
{
return(await _artificialIntelligenceExtension.AnalyzeAsync(
new AnalysisRequest
{
Text = _lazySerializedContent.Value,
Extras = new Dictionary <string, string>
{
["MessageId"] = Message.Id,
["UserIdentity"] = userIdentity.ToString()
}
},
_cancellationToken));
}
catch (LimeException)
{
return(null);
}
});
public LazyInput(
Message message,
Identity userIdentity,
BuilderConfiguration builderConfiguration,
IDocumentSerializer documentSerializer,
IEnvelopeSerializer envelopeSerializer,
IArtificialIntelligenceExtension artificialIntelligenceExtension,
CancellationToken cancellationToken)
{
Message = message ?? throw new ArgumentNullException(nameof(message));
_builderConfiguration = builderConfiguration ?? throw new ArgumentNullException(nameof(builderConfiguration));
_lazySerializedContent = new Lazy <string>(() => documentSerializer.Serialize(Content));
_analyzable = new Lazy <bool>(() =>
{
string result = null;
Message?.Metadata?.TryGetValue("builder.analyzable", out result);
return(result?.ToLower() == "true");
});
_lazyAnalyzedContent = new Lazy <Task <AnalysisResponse> >(async() =>
{
// Only analyze the input if the type is plain text or analyzable metadata is true.
if (!_analyzable.Value && Content.GetMediaType() != PlainText.MediaType)
{
return(null);
}
try
{
return(await artificialIntelligenceExtension.AnalyzeAsync(
new AnalysisRequest
{
Text = _lazySerializedContent.Value,
Extras = new Dictionary <string, string>
{
["MessageId"] = Message.Id,
["UserIdentity"] = userIdentity.ToString()
}
},
cancellationToken));
}
catch (LimeException)
{
return(null);
}
});
_lazySerializedMessage = new Lazy <string>(() =>
{
if (Message != null)
{
return(envelopeSerializer.Serialize(Message));
}
return(null);
});
}
public LazyInput(
Document content,
IDictionary <string, string> flowConfiguration,
IDocumentSerializer documentSerializer,
IEnvelopeSerializer envelopeSerializer,
IArtificialIntelligenceExtension artificialIntelligenceExtension,
CancellationToken cancellationToken)
{
_flowConfiguration = flowConfiguration;
Content = content;
_lazySerializedContent = new Lazy <string>(() => documentSerializer.Serialize(content));
_lazyAnalyzedContent = new Lazy <Task <AnalysisResponse> >(async() =>
{
// Only analyze the input if the type is plain text.
if (Content.GetMediaType() != PlainText.MediaType)
{
return(null);
}
try
{
return(await artificialIntelligenceExtension.AnalyzeAsync(
new AnalysisRequest
{
Text = _lazySerializedContent.Value
},
cancellationToken));
}
catch (LimeException)
{
return(null);
}
});
_lazySerializedMessage = new Lazy <string>(() =>
{
var message = EnvelopeReceiverContext <Message> .Envelope;
if (message != null)
{
return(envelopeSerializer.Serialize(message));
}
return(null);
});
}
public LazyInput(
Message message,
BuilderConfiguration builderConfiguration,
IDocumentSerializer documentSerializer,
IEnvelopeSerializer envelopeSerializer,
IArtificialIntelligenceExtension artificialIntelligenceExtension,
CancellationToken cancellationToken)
{
Message = message ?? throw new ArgumentNullException(nameof(message));
_builderConfiguration = builderConfiguration ?? throw new ArgumentNullException(nameof(builderConfiguration));
_lazySerializedContent = new Lazy <string>(() => documentSerializer.Serialize(Content));
_lazyAnalyzedContent = new Lazy <Task <AnalysisResponse> >(async() =>
{
// Only analyze the input if the type is plain text.
if (Content.GetMediaType() != PlainText.MediaType)
{
return(null);
}
try
{
return(await artificialIntelligenceExtension.AnalyzeAsync(
new AnalysisRequest
{
Text = _lazySerializedContent.Value
},
cancellationToken));
}
catch (LimeException)
{
return(null);
}
});
_lazySerializedMessage = new Lazy <string>(() =>
{
if (Message != null)
{
return(envelopeSerializer.Serialize(Message));
}
return(null);
});
}
public async Task ReceiveAsync(Message message, CancellationToken cancellationToken)
{
var currentState = await _stateManager.GetStateAsync(message.From.ToIdentity(), cancellationToken);
var receivedText = (message.Content as PlainText).Text;
var result = await _artificialIntelligenceExtension.AnalyzeAsync(new AnalysisRequest { Text = receivedText });
var bestIntention = result.Intentions[0];
var actionsQuickReply = new Select
{
Text = "Oii 😄, em que posso te ajudar ? 👇",
Scope = SelectScope.Immediate,
Options = new SelectOption[]
{
new SelectOption
{
Text = "📍 Postos próximos",
Value = new Trigger {
StateId = "3.1.0"
}
},
new SelectOption
{
Text = "⭐ Meus favoritos",
Value = new Trigger {
StateId = "3.2.0"
}
}
}
};
var notHandledText = new PlainText {
Text = "Não entendi 😶 ainda estou aprendendo"
};
if (bestIntention.Score < 0.3)
{
//Not handled
await _sender.SendMessageAsync(notHandledText, message.From, cancellationToken);
await Task.Delay(2000);
actionsQuickReply.Text = "Mas eu já sei falar sobre isso:";
await _sender.SendMessageAsync(actionsQuickReply, message.From, cancellationToken);
return;
}
switch (bestIntention.Name)
{
case "Salutation":
await _sender.SendMessageAsync(actionsQuickReply, message.From, cancellationToken);
break;
case "Help":
actionsQuickReply.Text = "Eu sou o bot Gasosa Barata, que te ajuda a encontrar o combustível mais em conta perto de você! O que deseja ? 👇";
await _sender.SendMessageAsync(actionsQuickReply, message.From, cancellationToken);
break;
case "SearchFor":
actionsQuickReply.Text = "Quais postos deseja consultar ? 👇";
await _sender.SendMessageAsync(actionsQuickReply, message.From, cancellationToken);
break;
default:
//Not handled
await _sender.SendMessageAsync(notHandledText, message.From, cancellationToken);
break;
}
}
