public async Task <MatchedMessage> ProcessAsync(string username, AnalysisResult result, string input)
{
input = TransformCommandToInput(input);
List <Tweet> messages = _memoryCache.Get(MESSAGES_TAG) as List <Tweet>;
if (messages == null)
{
messages = await _twitterRepository
.GetTweetContentAsync();
_memoryCache.Add(MESSAGES_TAG, messages, DateTimeOffset.UtcNow.AddHours(1));
}
MatchedMessage matchedMessage = ProcessGreetingsMessage(messages, username, result, input);
if (matchedMessage == null)
{
matchedMessage = await PredictWithLUIS(messages, username, input);
}
if (matchedMessage == null)
{
matchedMessage = ProcessDefaultMessage(messages, username, result, input);
}
return(matchedMessage);
}
MatchedMessage ProcessGreetingsMessage(List <Tweet> messages, string username, AnalysisResult result, string input)
{
MatchedMessage messageResult = null;
var filteredMessages = messages
.Where(i => i.Text.StartsWith("Hola @") &&
!i.IsReply);
if (input.ToUpperInvariant().Contains("HOLA ") ||
input.ToUpperInvariant().Contains("HOLA,") ||
input.ToUpperInvariant().StartsWith("HOLA"))
{
var random = new Random();
var message = filteredMessages.ElementAt(random.Next(0, filteredMessages.Count() - 1));
messageResult = new MatchedMessage
{
Message = ReplaceUsername(message.Text, username),
Sentiment = message.Sentiment
};
}
return(messageResult);
}
MatchedMessage ProcessLUISMessage(List <Tweet> messages, string username, LuisResult res)
{
MatchedMessage result = null;
var topScoreIntent = res.TopScoringIntent;
var topicToSearch = string.Empty;
var verbWord = string.Empty;
var filteredMessages = messages
.Where(i => !i.Text.Contains("Hola @"));
topicToSearch = string.Join(" ", res.Entities.SelectMany(i => i.Value).OrderBy(i => i.Score).Select(i => i.Value));
switch (topScoreIntent.Name)
{
case "ConocesA":
{
verbWord = "conozco";
break;
}
case "QueOpinas":
{
verbWord = "opino";
break;
}
case "CualEs":
{
verbWord = "es";
break;
}
case "QuienEs":
{
verbWord = "es";
break;
}
case "TeGusta":
{
verbWord = "gusta";
break;
}
case "EresUnBot":
{
verbWord = "es un";
topicToSearch = "submarinismo";
break;
}
}
if (!string.IsNullOrWhiteSpace(verbWord) && topScoreIntent.Score > 0.5d)
{
var selectedMessages = filteredMessages
.Where(i => i.Text.ToUpperInvariant().Split(' ', ',', '.', ':', '-').Contains(topicToSearch.ToUpperInvariant()))
.ToList();
var random = new Random();
if (selectedMessages.Any())
{
var predefinedPhrase = selectedMessages.ElementAt(random.Next(0, selectedMessages.Count()));
var phrasesWithVerb = selectedMessages.Where(i => i.Text.ToUpperInvariant().Contains(verbWord)).ToList();
if (phrasesWithVerb.Any())
{
predefinedPhrase = phrasesWithVerb.ElementAt(random.Next(0, phrasesWithVerb.Count()));
}
result = new MatchedMessage
{
Message = ReplaceUsername(predefinedPhrase.Text, username),
Sentiment = predefinedPhrase.Sentiment
};
}
else
{
selectedMessages = filteredMessages
.Where(i => i.Text.ToUpperInvariant().Contains(verbWord.ToUpperInvariant()))
.ToList();
if (selectedMessages.Any() &&
!string.IsNullOrWhiteSpace(topicToSearch))
{
var predefinedPhrase = selectedMessages.ElementAt(random.Next(0, selectedMessages.Count()));
result = new MatchedMessage
{
Message = ReplaceUsername(predefinedPhrase.Text, username),
Sentiment = predefinedPhrase.Sentiment
};
}
}
}
return(result);
}
