public async Task <ActionResult> Index(Donater donater)
{
var response = await this.donationExperienceService.GetValuesForDonator(donater);
TempData["response"] = response;
return(RedirectToAction("Suggestions"));
}
public static void AddDonater(Donater Donater)
{
using (BodonateDbContext db = new BodonateDbContext())
{
db.Donaters.Add(Donater);
db.SaveChanges();
}
}
public async Task <DonationExperienceValues> GetValuesForDonator(Donater donater)
{
var ai = new TelemetryClient();
var response = await donationPredictionService.InvokeRequestResponseService(donater);
if (response.Success)
{
try
{
var json = JObject.Parse(response.Response);
var columnNames = json["Results"]["output1"]["value"]["ColumnNames"].ToArray();
var scoreArrayIndex = Array.IndexOf(columnNames, "Scored Labels");
var score = json["Results"]["output1"]["value"]["Values"].ToArray()[0].ToArray()[scoreArrayIndex];
return(new DonationExperienceValues
{
Score = score.ToString(),
Values = SuggestedValuesFromScore((double)score, donationExperienceSettings.SuggestionCount, donationExperienceSettings.Multiplier),
Success = true,
Message = response.Response,
ExperienceSettings = donationExperienceSettings,
RequestTime = response.RequestTime
});
}
catch (Exception ex)
{
ai.TrackException(ex);
return(new DonationExperienceValues
{
Success = false,
Message = ex.ToString()
});
}
}
ai.TrackException(new Exception(response.Response));
return(new DonationExperienceValues
{
Success = false,
Message = response.Response
});
}
public async Task <DonationPredictionResponse> InvokeRequestResponseService(Donater donater)
{
using (var client = new HttpClient())
{
var scoreRequest = new
{
Inputs = new Dictionary <string, StringTable>
{
{
"input1",
new StringTable
{
ColumnNames =
new[]
{
"Age", "Sex", "Income", "Zip", "Education", "MaritalStatus", "Children",
"Interactions", "Amount", "WeekDay", "Month", "Hour", "Location", "Device",
"Profile"
},
Values =
new[, ]
{
{
donater.Age.ToString(),
donater.Sex,
donater.Income.ToString(),
donater.Zip,
donater.Education,
donater.MaritalStatus,
donater.Children,
donater.Interactions.ToString(),
donater.Amount.ToString(),
donater.WeekDay.ToString(),
donater.Month.ToString(),
donater.Hour.ToString(),
donater.Location,
donater.Device,
donater.Profile
}
}
}
}
},
GlobalParameters = new Dictionary <string, string>()
{
{ "Allow unknown categorical levels", "true" }
}
};
var apiKey = configuration.ApiKey; // Replace this with the API key for the web service
client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
client.BaseAddress = configuration.Uri;
HttpResponseMessage response = null;
var ai = new TelemetryClient();
var startTime = DateTime.UtcNow;
var timer = System.Diagnostics.Stopwatch.StartNew();
try
{
response = await client.PostAsJsonAsync("", scoreRequest);
}
finally
{
timer.Stop();
ai.TrackDependency("MachineLearning", "ApiCall", startTime, timer.Elapsed, response != null && response.IsSuccessStatusCode);
}
if (!response.IsSuccessStatusCode)
{
var responseContent = await response.Content.ReadAsStringAsync();;
return(new DonationPredictionResponse()
{
RequestTime = timer.Elapsed, Success = false, Response =
$"status:{response.StatusCode}\r\nheaders:{response.Headers}\r\ncontent:{responseContent}\r\n"
});
}
var result = await response.Content.ReadAsStringAsync().ConfigureAwait(false);
return(new DonationPredictionResponse()
{
RequestTime = timer.Elapsed, Success = true, Response = result
});
}
}
