static async Task <AzureMLModel> InvokeRequestResponseService()
{
AzureMLModel ViewModel = new AzureMLModel();
using (var client = new HttpClient())
{
var scoreRequest = new
{
Inputs = new Dictionary <string, StringTable>()
{
{
"input1",
new StringTable()
{
ColumnNames = new string[] { "sepallength", "sepalwidth",
"petallength", "petalwidth", "class" },
Values = new string[, ] {
{ "1", "2", "10", "3", "value" },
{ "0", "0", "0", "0", "value" },
}
}
},
},
GlobalParameters = new Dictionary <string, string>()
{
}
};
HttpResponseMessage response = await client.PostAsJsonAsync("", scoreRequest);
if (response.IsSuccessStatusCode)
{
string result = await response.Content.ReadAsStringAsync();
RootObject rootObject = JsonConvert.DeserializeObject <RootObject>(result.ToString());
ViewModel.Message = "Result: " + result;
ViewModel.JsonObject = rootObject.ToString();
}
else
{
ViewModel.Message = string.Format("The request failed with status code: {0}", response.StatusCode);
ViewModel.Message += "\n" + response.Headers.ToString();
string responseContent = await response.Content.ReadAsStringAsync();
ViewModel.JsonObject = responseContent;
}
}
return(ViewModel);
}
static async Task <AzureMLModel> InvokeRequestResponseService()
{
AzureMLModel ViewModel = new AzureMLModel();
using (var client = new HttpClient())
{
var scoreRequest = new
{
Inputs = new Dictionary <string, StringTable>()
{
{
"input1",
new StringTable()
{
ColumnNames = new string[] { "sepallength", "sepalwidth",
"petallength", "petalwidth", "class" },
Values = new string[, ] {
{ "1", "2", "10", "3", "value" },
{ "0", "0", "0", "0", "value" },
}
}
},
},
GlobalParameters = new Dictionary <string, string>()
{
}
};
// Replace the API_KEY and BASE_ADDRESS with the values provided in class for the service
const string apiKey = "eMyb/Tsm9MQ8eWiU5itGYU2rVUvqSAtI3I3yyHqc1KkG4nuS5GWm+1oA5mAzfD0Z1cF8CWZAhgxYYI4WmghDvQ==";
//client.BaseAddress = new Uri("BASE_ADRESS");
client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
// 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);
if (response.IsSuccessStatusCode)
{
string result = await response.Content.ReadAsStringAsync();
RootObject rootObject = JsonConvert.DeserializeObject <RootObject>(result.ToString());
ViewModel.Message = "Result: " + result;
ViewModel.JsonObject = rootObject.ToString();
}
else
{
// Print the headers - they include the requert ID and the timestamp,
// which are useful for debugging the failure
ViewModel.Message = string.Format("The request failed with status code: {0}", response.StatusCode);
ViewModel.Message += "\n" + response.Headers.ToString();
string responseContent = await response.Content.ReadAsStringAsync();
ViewModel.JsonObject = responseContent;
}
}
return(ViewModel);
}
public async Task <IActionResult> Index()
{
AzureMLModel ViewModel = await InvokeRequestResponseService();
return(View(ViewModel));
}
