public ResultDTO Test(MachineLearningDTO datas)
{
ResultDTO sonuc = new ResultDTO();
var postResult = POST("http://localhost:5555/calculateaccuracy", datas);
return(postResult);
}
public async Task <ActionResult> GenerateReorderInfo(MachineLearningDTO predictedDate)
{
using (var client = new HttpClient())
{
//http POST
// send a POST request to the server uri with the data and get the response as HttpResponseMessage object
// add 'Microsoft.AspNet.WebApi.Client' Nuget package
HttpResponseMessage res = await client.PostAsJsonAsync("http://127.0.0.1:5000/", new { @InputYear = DateTime.Now.Year, @InputMonth = DateTime.Now.Month, @InputDay = DateTime.Now.Day });
// Return the result from the server if the status code is 200 (everything is OK)
// should raise exception or error if it's not
if (res.IsSuccessStatusCode)
{
// pass the result by setting the Viewdata property
// have to read as string for the data in response.body
List <Stationery> stationeries = StationeryService.Instance.GetAllStationeries().ToList();
List <Stationery> updatedStationeries = new List <Stationery>();
JArray jsonArray = JArray.Parse(res.Content.ReadAsStringAsync().Result);
int i;
foreach (JArray ja in jsonArray)
{
i = 0;
int currentId = 0;
foreach (string a in ja)
{
if (i == 0)
{
currentId = Convert.ToInt32(a);
updatedStationeries.Add(stationeries.Find(x => x.Id == currentId));
}
if (i == 1)
{
int qty = Convert.ToInt32(a);
updatedStationeries.Find(x => x.Id == currentId).ReorderLevel = qty;
updatedStationeries.Find(x => x.Id == currentId).ReorderQuantity = qty;
}
i = i + 1;
}
}
TempData["updatedStationeryQty"] = updatedStationeries;
ViewBag.data = updatedStationeries;
return(View(predictedDate));
}
else
{
return(View("Error"));
}
}
}
private ResultDTO POST(string url, MachineLearningDTO datas)
{
string resultStream = "";
HttpWebRequest request = (HttpWebRequest)WebRequest.Create(url);
request.Method = "POST";
System.Text.UTF8Encoding encoding = new System.Text.UTF8Encoding();
var jsonContent = JsonConvert.SerializeObject(datas);
Byte[] byteArray = encoding.GetBytes(jsonContent);
request.ContentLength = byteArray.Length;
request.ContentType = "application/json";
using (Stream dataStream = request.GetRequestStream())
{
dataStream.Write(byteArray, 0, byteArray.Length);
}
long length = 0;
try
{
using (HttpWebResponse response = (HttpWebResponse)request.GetResponse())
{
// got response
length = response.ContentLength;
using (Stream responseStream = response.GetResponseStream())
{
StreamReader reader = new StreamReader(responseStream, Encoding.GetEncoding("utf-8"));
resultStream = reader.ReadToEnd();
return(JsonConvert.DeserializeObject <ResultDTO>(resultStream));
}
}
}
catch (WebException ex)
{
WebResponse errorResponse = ex.Response;
using (Stream responseStream = errorResponse.GetResponseStream())
{
StreamReader reader = new StreamReader(responseStream, Encoding.GetEncoding("utf-8"));
resultStream = reader.ReadToEnd();
return(JsonConvert.DeserializeObject <ResultDTO>(resultStream));
}
throw;
}
}
public JsonResult Test(MachineLearningDTO datas)
{
ResultDTO sonuc = _machineLearningManager.Test(datas);
return(Json(new { Sonuc = sonuc.Result, Mesaj = sonuc.Message, Nesne = sonuc.Object }, JsonRequestBehavior.AllowGet));
}
