private static async Task DoKnowledgeGraphScenario(IDialogContext context, IMessageActivity message)
{
var incomingChanData = message.GetChannelData <CustomChannelDataRequest>();
//We keep cookies between client and Bing, so follow up questions such as "where is he from?" are understood in the context
//of the previous question
List <KeyValuePair <string, string> > cookies;
context.UserData.TryGetValue("Cookies", out cookies);
//We also keep the entity. We are not doing anything wtih it right now, but it helps any custom logic that needs to know
//the current topic we're discussing
string currentEntity = null;
context.UserData.TryGetValue("Entity", out currentEntity);
var kbData = await KnowledgeGraphHelper.QueryAsync(message.Text, cookies, currentEntity);
var response = context.MakeMessage();
response.Text = kbData?.DisplayText;
var chanData = new CustomChannelDataResponse {
Knowledge = kbData
};
chanData.RobotFeedback.SpokenText = kbData?.SpokenText;
chanData.RobotFeedback.SpokenSSML = kbData?.SpokenSSML;
if (kbData.Success)
{
chanData.RobotFeedback.Emotion = new[] { Emotions.Confident };
}
else
{
chanData.RobotFeedback.Emotion = new[] { Emotions.Worried, Emotions.Questioning };
}
response.ChannelData = chanData;
if (kbData.Cookies != null)
{
context.UserData.SetValue("Cookies", kbData.Cookies);
}
var entityToStore = kbData?.Entities?.FirstOrDefault()?.CurrentEntity;
if (entityToStore != null)
{
context.UserData.SetValue("Entity", entityToStore);
}
else
{
// Otherwise don't change the target entity, user might want to ask a follow up question on same topic
}
await context.PostAsync(response);
}
//The custom app running on the robot espects a specific kind of payload which includes not only what the robot is supposed to say, but
//also facial expressions, facial movements, etc. This method is just a shortcut to build that payload before answering to the robot
public static async Task <IMessageActivity> CreateResponse(IDialogContext context, IMessageActivity message, string[] emotions, string text)
{
var response = context.MakeMessage();
response.Text = text;
var chanData = new CustomChannelDataResponse
{
RobotFeedback = new RobotFeedback
{
Emotion = emotions,
SpokenText = text
},
};
response.ChannelData = chanData;
return(response);
}
