/// <summary>
/// POST: api/Messages
/// Receive a message from a user and reply to it
/// </summary>
public async Task <HttpResponseMessage> Post([FromBody] Activity activity)
{
if (activity.Type == ActivityTypes.Message)
{
ConnectorClient connector = new ConnectorClient(new Uri(activity.ServiceUrl));
// 만약 JSON 데이터일 경우 Azure ML로 Iris Prediction 요청 수행
if (ValidateJSON(activity.Text))
{
// Azure ML로 JSON을 요청
Iris iris = JsonConvert.DeserializeObject <Iris>(activity.Text);
// Azure ML을 호출하는 함수
InvokeRequestResponseService(iris).Wait();
Activity reply = activity.CreateReply("예측 결과 : " + iris.PredictVal);
await connector.Conversations.ReplyToActivityAsync(reply);
}
else
{
// 일반 텍스트. echo 수행
// calculate something for us to return
int length = (activity.Text ?? string.Empty).Length;
// return our reply to the user
Activity reply = activity.CreateReply($"You sent {activity.Text} which was {length} characters");
await connector.Conversations.ReplyToActivityAsync(reply);
}
}
else
{
HandleSystemMessage(activity);
}
var response = Request.CreateResponse(HttpStatusCode.OK);
return(response);
}
public static async Task InvokeRequestResponseService(Iris iris)
{
using (var client = new HttpClient())
{
var scoreRequest = new
{
Inputs = new Dictionary <string, StringTable>()
{
{
"input1",
new StringTable()
{
// Azure ML에 만들어둔 Predict Model의 Request param.
ColumnNames = new string[] { "Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width", "Species" },
Values = new string[, ] {
{ iris.SepalLength, iris.SepalWidth, iris.PetalLength, iris.PetalWidth, "value" },
}
}
},
},
GlobalParameters = new Dictionary <string, string>()
{
}
};
const string apiKey = "<키값으로 변경>"; // Azure ML 접근을 위한 키값
client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
client.BaseAddress = new Uri("https://asiasoutheast.services.azureml.net/<AzureMLURL>");
// WARNING: The 'await' statement below can result in a deadlock if you are calling this code from the UI thread of an ASP.Net application.
// One way to address this would be to call ConfigureAwait(false) so that the execution does not attempt to resume on the original context.
// For instance, replace code such as:
// result = await DoSomeTask()
// with the following:
// result = await DoSomeTask().ConfigureAwait(false)
HttpResponseMessage response = await client.PostAsJsonAsync("", scoreRequest).ConfigureAwait(false);
if (response.IsSuccessStatusCode)
{
string result = await response.Content.ReadAsStringAsync();
Debug.WriteLine("Result: {0}", result);
iris.PredictVal = result;
}
else
{
Debug.WriteLine(string.Format("The request failed with status code: {0}", response.StatusCode));
// Print the headers - they include the requert ID and the timestamp, which are useful for debugging the failure
Debug.WriteLine(response.Headers.ToString());
string responseContent = await response.Content.ReadAsStringAsync();
Debug.WriteLine(responseContent);
}
}
}
