0
Итак, подведем итог,Azure Web Service: Вызов нескольких веб-сервисов от одного веб-формы
- VS 2015 сообщество
- SQL Express 2016
- Azure Machine Learning
- Azure Webservice
Технологический поток:
Пользователь inp uts конкретных данных из выпадающих списков. Эти данные используются в качестве параметров для вызова хранимой процедуры в БД, которая возвращает данные в gridview (отправляется в gridview для целей тестирования), эти данные затем передаются на веб-сервис обучения Azure Machine и возвращает/отображает прогноз веб-сервисов.
У меня есть работа для одной службы (invokeResponseServiceFT), но конечная цель состоит в том, чтобы все 7 служб работали с одной и той же веб-страницы (поскольку все они используют одни и те же параметры, это не должно быть перегрузкой форм для конечных пользователей).
Теперь проблема возникла при добавлении второго сервиса, я получаю эту ошибку, когда она называется:
«StatusCode: 400, ReasonPhrase: 'Bad Request', версия: 1.1, Содержание: System.Net.Http.StreamContent, заголовки: {X-MS-запрос-ID: fa6ae7d9-63c9-48ee-bf8a-c455838d905d Дата: Вс, 12 Февраль 2017 11:05:41 GMT ETag: "db595771cdbd434aa2a92609518f0aad" Сервер : Microsoft-HTTPAPI/2.0 Content-Length: 319 Content-Type: application/json; charset = utf-8} "
Я дважды проверил URL-адрес сообщения, и ключ api оба были правильными. Структура Json точно такая же, что и повторное использование с 1-го сервиса. Небольшая потеря относительно проблемы. Любые идеи будут высоко оценены!
using System;
using System.Collections.Generic;
using System.Linq;
using System.Web;
using System.Web.UI;
using System.Web.UI.WebControls;
using System.Data;
using System.Data.SqlClient;
using System.Configuration;
using System.IO;
using System.Net.Http;
using System.Net.Http.Formatting;
using System.Net.Http.Headers;
using System.Text;
using System.Threading.Tasks;
using Newtonsoft.Json;
using System.Web.Script.Serialization;
public partial class _Default : System.Web.UI.Page
{
protected void Page_Load(object sender, EventArgs e)
{
/// string connectionString = SqlDataSource1.ConnectionString;
}
//json structure
public class Rootobject
{
public Results Results { get; set; }
}
public class Results
{
public Output1 output1 { get; set; }
}
public class Output1
{
public string type { get; set; }
public Value value { get; set; }
}
public class Value
{
public string[] ColumnNames { get; set; }
public string[] ColumnTypes { get; set; }
public string[][] Values { get; set; }
}
// Start of Azure Machine Learning web service
public class StringTable
{
public string[] ColumnNames { get; set; }
public string[,] Values { get; set; }
}
// public keyword added in front of async
// "string[] inputparams, Label label" added to function
public async Task InvokeRequestResponseServiceFT(string[] inputparams, Label label)
{
using (var client = new HttpClient())
{
var scoreRequest = new
{
Inputs = new Dictionary<string, StringTable>() {
{
"input1",
new StringTable()
{
ColumnNames = new string[] {"Venue", "TeamA", "TeamB", "TP", "AHT12", "BHT12", "SPFT12", "SPHT12", "SP2HT12", "GFT12", "GHT12", "G2HT12", "GFT", "GHT", "G2HT", "SPFT", "SPHT", "SP2HT", "AFT", "BFT", "AHT", "BHT", "AVGFT"},
// test data Values = new string[,] { { "Glasgow", "Glasgow", "Leinster", "85", "85", "85", "21", "21", "21", "21", "21", "21", "21", "21", "21", "21", "21", "21", "21", "21", "21", "21", "21" }, }
Values = new string[,] { { inputparams[0], inputparams[1], inputparams[2], inputparams[3], inputparams[4], inputparams[5],inputparams[6],inputparams[7],inputparams[8],inputparams[9],inputparams[10],inputparams[11],inputparams[12],inputparams[13],inputparams[14],inputparams[15],inputparams[16],inputparams[17],inputparams[18],inputparams[19],inputparams[20],inputparams[21],inputparams[22] }, }
}
},
},
GlobalParameters = new Dictionary<string, string>()
{
}
};
// 3. TO DO: Update apiKey
const string apiKey = "api key"; // Replace this with the API key for the web service
client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
// 4. TO DO: Replace following line client.BaseAddress with the corresponding from web service
client.BaseAddress = new Uri("post address");
// ".ConfigureAwait(false)" appended to call as we are calling this function from UI
HttpResponseMessage response = await client.PostAsJsonAsync("", scoreRequest).ConfigureAwait(false);
if (response.IsSuccessStatusCode)
{
string result = await response.Content.ReadAsStringAsync();
// The following lines were added:
JavaScriptSerializer ser = new JavaScriptSerializer();
// This deserialization will only work if the corresponding C# classes are defined for JSON.
Rootobject myresults = ser.Deserialize<Rootobject>(result);
var score = myresults.Results.output1.value.Values; //from C# classes defined above from JSON output
string scoredlabels = score[0][0];
string scoredprobabilities = score[0][23];
ResultsLabel.Text = scoredprobabilities;
}
else
{
ResultsLabel.Text = "the script hasn't worked";
}
}
}
/// <summary>
/// ////HT JSON
/// </summary>
// public keyword added in front of async
// "string[] inputparams, Label label" added to function
public async Task InvokeRequestResponseServiceHT(string[] inputparams, Label label)
{
using (var client = new HttpClient())
{
var scoreRequest = new
{
Inputs = new Dictionary<string, StringTable>() {
{
"input1",
new StringTable()
{
ColumnNames = new string[] {"Venue", "TeamA", "TeamB", "TP", "AHT12", "BHT12", "SPFT12", "SPHT12", "SP2HT12", "GFT12", "GHT12", "G2HT12", "GFT", "GHT", "G2HT", "SPFT", "SPHT", "SP2HT", "AFT", "BFT", "AHT", "BHT", "AVGFT"},
//Test Data Values = new string[,] { { "Glasgow", "Glasgow", "Leinster", "85", "85", "85", "21", "21", "21", "21", "21", "21", "21", "21", "21", "21", "21", "21", "21", "21", "21", "21", "21" }, }
Values = new string[,] { { inputparams[0], inputparams[1], inputparams[2], inputparams[3], inputparams[4], inputparams[5],inputparams[6],inputparams[7],inputparams[8],inputparams[9],inputparams[10],inputparams[11],inputparams[12],inputparams[13],inputparams[14],inputparams[15],inputparams[16],inputparams[17],inputparams[18],inputparams[19],inputparams[20],inputparams[21],inputparams[22] }, }
}
},
},
GlobalParameters = new Dictionary<string, string>()
{
}
};
// 3. TO DO: Update apiKey using value from your web service on Machine Learning portal
const string apiKey = "api key"; // Replace this with the API key for the web service
client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
// 4. TO DO: Replace following line client.BaseAddress with the corresponding one from web service
client.BaseAddress = new Uri("////post address ");
// ".ConfigureAwait(false)" appended to call as we are calling this function from UI
HttpResponseMessage response = await client.PostAsJsonAsync("", scoreRequest).ConfigureAwait(false);
if (response.IsSuccessStatusCode)
{
string result = await response.Content.ReadAsStringAsync();
JavaScriptSerializer ser = new JavaScriptSerializer();
// deserialization
Rootobject myresults = ser.Deserialize<Rootobject>(result);
var score = myresults.Results.output1.value.Values; //from C# classes defined above from JSON output
string scoredlabels = score[0][0];
string scoredprobabilities = score[0][23];
// 5. TO DO: format the return value
ResultsHT.Text = scoredprobabilities;
}
else
{
// Request was not successful - could be incorrect APIKey, missing values, etc...
ResultsHT.Text = "the script hasn't worked";//response.ToString();
}
}
}
protected void Button1_Click(object sender, EventArgs e)
{
//Create a using statement to handle your Connection
using (SqlConnection sqlConnection = new SqlConnection(SqlDataSource1.ConnectionString))
{
//Open your connection
sqlConnection.Open();
//Build your Command (and denote it is a stored procedure)
SqlCommand sqlCommand = new SqlCommand("Getdetails", sqlConnection);
sqlCommand.CommandType = CommandType.StoredProcedure;
//Add your parameters (assuming they are defined the same within your Stored Procedure
sqlCommand.Parameters.AddWithValue("@Venue", DDVenue.Text);
sqlCommand.Parameters.AddWithValue("@TeamA", DDTeamA.Text);
sqlCommand.Parameters.AddWithValue("@TeamB", DDTeamB.Text);
try
{
DataSet DS = new DataSet();
//Just execute the Query directly
sqlCommand.ExecuteNonQuery();
SqlDataAdapter da = new SqlDataAdapter(sqlCommand);
da.Fill(DS);
GridView1.DataSource = DS;
GridView1.DataBind();
string[] inputparams = new string[DS.Tables[0].Columns.Count];
for (int col = 0; col < DS.Tables[0].Columns.Count; ++col)
{
inputparams[col] = DS.Tables[0].Rows[0][col].ToString();
}
InvokeRequestResponseServiceFT(inputparams, ResultsLabel).Wait();
InvokeRequestResponseServiceHT(inputparams, ResultsHT).Wait();
// Clear();
}
catch
{
}
}
}
}