Add Face

DahuaIPCRename/Program.cs

@@ -6,12 +6,15 @@ namespace DahuaIPCRename
     {
         public static Dictionary<string, string> listIPC = new Dictionary<string, string>
         {
-            {"172.22.10.221","Домофон|Глав.вход"},
+            {"172.22.10.122","Этаж 2|Пом. 247"},
-            {"172.22.10.222","Домофон|Линкор"},
+            {"172.22.10.123","Этаж 2|Пом. 248-4"},
-            {"172.22.10.223","Домофон|НЛК-1"},
+            {"172.22.10.124","Этаж 2|Пом. 248-5"},
-            {"172.22.10.224","Домофон|НЛК-2"},
+            {"172.22.10.125","Этаж 2|Пом. 248-2"},
-            {"172.22.10.225","Домофон|Ленмикс"},
+            {"172.22.10.126","Этаж 2|Пом. 248-6"},
-            {"172.22.10.226","Домофон|Карбон"}
+            {"172.22.10.127","Этаж 2|Пом. 248-3"},
+            {"172.22.10.128","Этаж 2|Пом. 273-1"},
+            {"172.22.10.129","Этаж 2|Пом. 268-1"},
+            {"172.22.10.130","Этаж 2|Пом. 273-2"}
         };
 
         static async Task Main(string[] args)

FaceRecognitionApp/FaceRecognitionApp.csproj

@@ -0,0 +1,23 @@
+<Project Sdk="Microsoft.NET.Sdk.Web">
+
+  <PropertyGroup>
+    <TargetFramework>net8.0</TargetFramework>
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Emgu.CV" Version="4.13.0.5924" />
+    <PackageReference Include="Emgu.CV.runtime.windows" Version="4.13.0.5924" />
+    <PackageReference Include="Microsoft.AspNetCore.SignalR" Version="1.2.11" />
+    <PackageReference Include="Microsoft.Data.Sqlite" Version="10.0.9" />
+    <PackageReference Include="System.Drawing.Common" Version="10.0.9" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <None Update="haarcascade_frontalface_default.xml">
+      <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
+    </None>
+  </ItemGroup>
+
+</Project>

FaceRecognitionApp/Hubs/FaceHub.cs

@@ -0,0 +1,7 @@
+using Microsoft.AspNetCore.SignalR;
+
+namespace FaceRecognitionApp.Hubs;
+
+public class FaceHub : Hub
+{
+}

FaceRecognitionApp/Models/Employee.cs

@@ -0,0 +1,18 @@
+namespace FaceRecognitionApp.Models;
+
+public class Employee
+{
+    public int Id { get; set; }
+    public string Name { get; set; } = string.Empty;
+    public string? Department { get; set; }
+    public byte[] FaceDescriptor { get; set; } = Array.Empty<byte>();
+    public byte[]? Photo { get; set; }
+}
+
+public class DetectedFace
+{
+    public byte[] ImageData { get; set; } = Array.Empty<byte>();
+    public bool IsRecognized { get; set; }
+    public Employee? MatchedEmployee { get; set; }
+    public double Confidence { get; set; }
+}

FaceRecognitionApp/Program.cs

@@ -0,0 +1,58 @@
+using FaceRecognitionApp.Hubs;
+using FaceRecognitionApp.Services;
+using Microsoft.AspNetCore.SignalR;
+
+var builder = WebApplication.CreateBuilder(args);
+
+// Регистрация сервисов
+builder.Services.AddSingleton<DatabaseService>();
+builder.Services.AddSingleton<FaceRecognitionService>();
+builder.Services.AddSignalR();
+
+var app = builder.Build();
+
+// 1. Включаем поиск файлов по умолчанию (index.html, default.html и т.д.)
+app.UseDefaultFiles();
+
+// 2. Включаем раздачу статических файлов (css, js, картинки)
+app.UseStaticFiles();
+
+// 3. Подключаем SignalR хаб
+app.MapHub<FaceHub>("/faceHub");
+
+// Инициализация камеры и распознавания
+var db = app.Services.GetRequiredService<DatabaseService>();
+var faceService = app.Services.GetRequiredService<FaceRecognitionService>();
+
+// URL камеры (замените на свой или используйте тестовый видеофайл)
+var cameraUrl = Environment.GetEnvironmentVariable("CAMERA_URL") ?? "rtsp://admin:4NUDZhJ7@172.22.10.101:554/cam/realmonitor?channel=1&subtype=1";
+
+try
+{
+    Console.WriteLine($"Connecting to camera: {cameraUrl}...");
+    var camera = new CameraService(cameraUrl, faceService, async (face) => {
+        var hub = app.Services.GetRequiredService<IHubContext<FaceHub>>();
+        await hub.Clients.All.SendAsync("NewFace", new
+        {
+            image = Convert.ToBase64String(face.ImageData),
+            isRecognized = face.IsRecognized,
+            name = face.MatchedEmployee?.Name ?? "Unknown"
+        });
+    });
+    camera.Start();
+    Console.WriteLine("✅ Camera service started.");
+
+    // Корректное завершение работы камеры при остановке приложения
+    app.Lifetime.ApplicationStopping.Register(() => {
+        Console.WriteLine("Shutting down camera...");
+        camera.Dispose();
+    });
+}
+catch (Exception ex)
+{
+    Console.WriteLine($"⚠️ Camera Error: {ex.Message}");
+    Console.WriteLine("Application will run without camera monitoring.");
+}
+
+Console.WriteLine("🚀 Application is ready. Open http://localhost:5290 in your browser.");
+app.Run();

FaceRecognitionApp/Properties/launchSettings.json

@@ -0,0 +1,29 @@
+{
+  "$schema": "http://json.schemastore.org/launchsettings.json",
+  "iisSettings": {
+    "windowsAuthentication": false,
+    "anonymousAuthentication": true,
+    "iisExpress": {
+      "applicationUrl": "http://localhost:43065",
+      "sslPort": 0
+    }
+  },
+  "profiles": {
+    "http": {
+      "commandName": "Project",
+      "dotnetRunMessages": true,
+      "launchBrowser": true,
+      "applicationUrl": "http://localhost:5290",
+      "environmentVariables": {
+        "ASPNETCORE_ENVIRONMENT": "Development"
+      }
+    },
+    "IIS Express": {
+      "commandName": "IISExpress",
+      "launchBrowser": true,
+      "environmentVariables": {
+        "ASPNETCORE_ENVIRONMENT": "Development"
+      }
+    }
+  }
+}

FaceRecognitionApp/Services/CameraService.cs

@@ -0,0 +1,144 @@
+using Emgu.CV;
+using FaceRecognitionApp.Models;
+
+namespace FaceRecognitionApp.Services;
+
+public class CameraService : IDisposable
+{
+    private VideoCapture? _capture;
+    private readonly FaceRecognitionService _recognition;
+    private readonly Action<DetectedFace> _onDetected;
+    private CancellationTokenSource? _cts;
+    private Task? _task;
+    private DateTime _lastTime = DateTime.MinValue;
+    private bool _isDisposed = false;
+
+    public CameraService(string url, FaceRecognitionService recognition, Action<DetectedFace> onDetected)
+    {
+        _recognition = recognition;
+        _onDetected = onDetected;
+
+        Console.WriteLine($"Initializing camera with URL: {url}");
+        _capture = new VideoCapture(url);
+
+        // Даем камере время на инициализацию потока
+        Thread.Sleep(1000);
+
+        if (!_capture.IsOpened)
+            throw new Exception("Camera failed to open. Check URL and network connection.");
+
+        Console.WriteLine("Camera hardware initialized.");
+    }
+
+    public void Start()
+    {
+        if (_isDisposed) return;
+
+        _cts = new CancellationTokenSource();
+        _task = Task.Run(() => Loop(_cts.Token));
+        Console.WriteLine("Camera processing loop started.");
+    }
+
+    private async Task Loop(CancellationToken token)
+    {
+        Console.WriteLine("🎥 Frame processing loop active...");
+
+        while (!token.IsCancellationRequested)
+        {
+            try
+            {
+                using var frame = new Mat();
+
+                // Читаем кадр с таймаутом
+                if (_capture!.Read(frame))
+                {
+                    if (!frame.IsEmpty && frame.Width > 0 && frame.Height > 0)
+                    {
+                        var face = _recognition.ProcessFrame(frame);
+
+                        if (face != null)
+                        {
+                            // Лимит частоты отправок (не чаще раза в 2 секунды)
+                            if ((DateTime.Now - _lastTime).TotalMilliseconds > 2000)
+                            {
+                                _lastTime = DateTime.Now;
+                                _onDetected(face);
+
+                                string status = face.IsRecognized
+                                    ? $"✅ Recognized: {face.MatchedEmployee?.Name}"
+                                    : "❌ Unknown face";
+
+                                Console.WriteLine($"{DateTime.Now:HH:mm:ss} - {status}");
+                            }
+                        }
+                    }
+                }
+                else
+                {
+                    // Если Read вернул false, возможно потеря связи
+                    Console.WriteLine("⚠️ Failed to read frame, retrying...");
+                    await Task.Delay(500, token);
+                }
+
+                // Небольшая задержка, чтобы не грузить процессор на 100%
+                await Task.Delay(50, token);
+            }
+            catch (OperationCanceledException)
+            {
+                // Это нормальная ситуация при остановке
+                break;
+            }
+            catch (Exception ex)
+            {
+                Console.WriteLine($"⚠️ Error in camera loop: {ex.Message}");
+                await Task.Delay(1000, token);
+            }
+        }
+
+        Console.WriteLine("🛑 Camera loop finished.");
+    }
+
+    public void Stop()
+    {
+        if (_cts == null) return;
+
+        Console.WriteLine("Stopping camera service...");
+        _cts.Cancel();
+
+        try
+        {
+            // Ждем завершения задачи, но не бесконечно
+            if (_task != null)
+            {
+                _task.Wait(TimeSpan.FromSeconds(5));
+            }
+        }
+        catch (AggregateException ex)
+        {
+            // Игнорируем ошибки отмены задачи
+            foreach (var inner in ex.InnerExceptions)
+            {
+                if (!(inner is TaskCanceledException || inner is OperationCanceledException))
+                {
+                    Console.WriteLine($"Unexpected error during stop: {inner.Message}");
+                }
+            }
+        }
+        catch (Exception ex)
+        {
+            Console.WriteLine($"Error stopping task: {ex.Message}");
+        }
+    }
+
+    public void Dispose()
+    {
+        if (_isDisposed) return;
+
+        Stop();
+        _capture?.Dispose();
+        _cts?.Dispose();
+        _isDisposed = true;
+
+        Console.WriteLine("Camera resources released.");
+    }
+}

FaceRecognitionApp/Services/DatabaseService.cs

@@ -0,0 +1,65 @@
+using Microsoft.Data.Sqlite;
+using FaceRecognitionApp.Models;
+
+namespace FaceRecognitionApp.Services;
+
+public class DatabaseService
+{
+    private readonly string _connectionString = "Data Source=faces.db";
+
+    public DatabaseService()
+    {
+        InitializeDatabase();
+    }
+
+    private void InitializeDatabase()
+    {
+        using var connection = new SqliteConnection(_connectionString);
+        connection.Open();
+        var cmd = connection.CreateCommand();
+        cmd.CommandText = @"
+            CREATE TABLE IF NOT EXISTS Employees (
+                Id INTEGER PRIMARY KEY AUTOINCREMENT,
+                Name TEXT NOT NULL,
+                Department TEXT,
+                FaceDescriptor BLOB,
+                Photo BLOB
+            )";
+        cmd.ExecuteNonQuery();
+    }
+
+    public void AddEmployee(string name, string? dept, byte[] descriptor, byte[] photo)
+    {
+        using var connection = new SqliteConnection(_connectionString);
+        connection.Open();
+        var cmd = connection.CreateCommand();
+        cmd.CommandText = "INSERT INTO Employees (Name, Department, FaceDescriptor, Photo) VALUES (@n, @d, @desc, @p)";
+        cmd.Parameters.AddWithValue("@n", name);
+        cmd.Parameters.AddWithValue("@d", (object?)dept ?? DBNull.Value);
+        cmd.Parameters.AddWithValue("@desc", descriptor);
+        cmd.Parameters.AddWithValue("@p", photo);
+        cmd.ExecuteNonQuery();
+    }
+
+    public List<Employee> GetAllEmployees()
+    {
+        var list = new List<Employee>();
+        using var connection = new SqliteConnection(_connectionString);
+        connection.Open();
+        var cmd = connection.CreateCommand();
+        cmd.CommandText = "SELECT * FROM Employees";
+        using var reader = cmd.ExecuteReader();
+        while (reader.Read())
+        {
+            list.Add(new Employee
+            {
+                Id = reader.GetInt32(0),
+                Name = reader.GetString(1),
+                Department = reader.IsDBNull(2) ? null : reader.GetString(2),
+                FaceDescriptor = (byte[])reader[3],
+                Photo = reader.IsDBNull(4) ? null : (byte[])reader[4]
+            });
+        }
+        return list;
+    }
+}

FaceRecognitionApp/Services/FaceRecognitionService.cs

@@ -0,0 +1,234 @@
+using Emgu.CV;
+using Emgu.CV.CvEnum;
+using Emgu.CV.Face;
+using Emgu.CV.Structure;
+using Emgu.CV.Util;
+using FaceRecognitionApp.Models;
+using System.Drawing;
+using System.Runtime.InteropServices;
+
+namespace FaceRecognitionApp.Services;
+
+public class FaceRecognitionService : IDisposable
+{
+    private readonly LBPHFaceRecognizer _recognizer;
+    private readonly CascadeClassifier _cascade;
+    private readonly DatabaseService _db;
+    private List<Employee> _employees = new();
+    private bool _isTrained = false;
+
+    // Коэффициент уменьшения кадра для ускорения поиска
+    private const double ResizeScale = 0.5;
+    private const int OriginalMinSize = 30;
+    private readonly Size _scaledMinSize;
+
+    public FaceRecognitionService(DatabaseService db)
+    {
+        _db = db;
+        var cascadePath = Path.Combine(AppContext.BaseDirectory, "haarcascade_frontalface_default.xml");
+        if (!File.Exists(cascadePath))
+            throw new FileNotFoundException($"Cascade file missing at: {cascadePath}");
+
+        _cascade = new CascadeClassifier(cascadePath);
+        _recognizer = new LBPHFaceRecognizer(1, 8, 8, 8, 80.0);
+
+        // Вычисляем минимальный размер лица для уменьшенного кадра
+        int scaledMin = (int)(OriginalMinSize * ResizeScale);
+        _scaledMinSize = new Size(Math.Max(scaledMin, 10), Math.Max(scaledMin, 10));
+
+        TrainModel();
+    }
+
+    private void TrainModel()
+    {
+        _employees = _db.GetAllEmployees();
+        if (!_employees.Any()) return;
+
+        using var images = new VectorOfMat();
+        using var labels = new VectorOfInt();
+
+        foreach (var emp in _employees)
+        {
+            if (emp.Photo == null || emp.Photo.Length == 0) continue;
+
+            try
+            {
+                using var ms = new MemoryStream(emp.Photo);
+                using var bmp = new Bitmap(ms);
+                using var mat = BitmapToMat(bmp);
+                using var gray = new Mat();
+
+                CvInvoke.CvtColor(mat, gray, ColorConversion.Bgr2Gray);
+
+                // Ищем лицо на фото сотрудника для обрезки
+                var rects = _cascade.DetectMultiScale(gray, 1.1, 5, new Size(30, 30));
+
+                if (rects.Length > 0)
+                {
+                    using var faceMat = new Mat(gray, rects[0]);
+                    using var resized = new Mat();
+                    CvInvoke.Resize(faceMat, resized, new Size(100, 100));
+
+                    images.Push(resized);
+                    labels.Push(new int[] { emp.Id });
+                }
+            }
+            catch (Exception ex)
+            {
+                Console.WriteLine($"Training error for {emp.Name}: {ex.Message}");
+            }
+        }
+
+        if (images.Size > 0)
+        {
+            _recognizer.Train(images, labels);
+            _isTrained = true;
+            Console.WriteLine($"✅ Trained on {images.Size} faces.");
+        }
+        else
+        {
+            Console.WriteLine("⚠️ No valid faces found for training.");
+        }
+    }
+
+    public DetectedFace? ProcessFrame(Mat frame)
+    {
+        if (frame == null || frame.IsEmpty) return null;
+
+        // === УСКОРЕНИЕ: Уменьшаем кадр для поиска лиц ===
+        using var smallFrame = new Mat();
+        CvInvoke.Resize(frame, smallFrame, new Size(), ResizeScale, ResizeScale, Inter.Linear);
+
+        using var gray = new Mat();
+        CvInvoke.CvtColor(smallFrame, gray, ColorConversion.Bgr2Gray);
+
+        // Ищем лица на уменьшенном кадре
+        var rects = _cascade.DetectMultiScale(gray, 1.1, 5, _scaledMinSize);
+
+        if (rects.Length == 0)
+            return null;
+
+        var smallRect = rects[0];
+
+        // === ВОССТАНОВЛЕНИЕ координат к оригинальному размеру ===
+        int invScale = (int)(1.0 / ResizeScale);
+        var originalRect = new Rectangle(
+            smallRect.X * invScale,
+            smallRect.Y * invScale,
+            smallRect.Width * invScale,
+            smallRect.Height * invScale
+        );
+
+        // Проверка границ по оригинальному кадру
+        if (originalRect.X < 0 || originalRect.Y < 0 ||
+            originalRect.Right > frame.Width || originalRect.Bottom > frame.Height)
+            return null;
+
+        // Вырезаем лицо из ОРИГИНАЛЬНОГО кадра (лучшее качество для распознавания)
+        using var faceMat = new Mat(frame, originalRect);
+        using var faceGray = new Mat();
+        CvInvoke.CvtColor(faceMat, faceGray, ColorConversion.Bgr2Gray);
+
+        using var resized = new Mat();
+        CvInvoke.Resize(faceGray, resized, new Size(100, 100));
+
+        var result = new DetectedFace();
+
+        if (_isTrained)
+        {
+            try
+            {
+                var prediction = _recognizer.Predict(resized);
+
+                int label = prediction.Label;
+                double confidence = prediction.Distance;
+
+                if (label != -1 && confidence < 80)
+                {
+                    result.IsRecognized = true;
+                    result.MatchedEmployee = _employees.FirstOrDefault(e => e.Id == label);
+                    result.Confidence = confidence;
+                }
+            }
+            catch (Exception ex)
+            {
+                Console.WriteLine($"Prediction error: {ex.Message}");
+            }
+        }
+
+        // Конвертация в JPEG для веб-интерфейса
+        using var ms = new MemoryStream();
+        using var bmp = MatToBitmap(resized);
+        bmp.Save(ms, System.Drawing.Imaging.ImageFormat.Jpeg);
+        result.ImageData = ms.ToArray();
+
+        return result;
+    }
+
+    /// <summary>
+    /// Безопасная конвертация Bitmap → Mat через промежуточный буфер
+    /// </summary>
+    private static Mat BitmapToMat(Bitmap bitmap)
+    {
+        var mat = new Mat(bitmap.Height, bitmap.Width, DepthType.Cv8U, 3);
+
+        var data = bitmap.LockBits(
+            new Rectangle(0, 0, bitmap.Width, bitmap.Height),
+            System.Drawing.Imaging.ImageLockMode.ReadOnly,
+            System.Drawing.Imaging.PixelFormat.Format24bppRgb);
+
+        try
+        {
+            int length = Math.Abs(data.Stride) * bitmap.Height;
+            byte[] buffer = new byte[length];
+            Marshal.Copy(data.Scan0, buffer, 0, length);
+            Marshal.Copy(buffer, 0, mat.DataPointer, length);
+        }
+        finally
+        {
+            bitmap.UnlockBits(data);
+        }
+
+        return mat;
+    }
+
+    /// <summary>
+    /// Безопасная конвертация Mat → Bitmap через промежуточный буфер
+    /// </summary>
+    private static Bitmap MatToBitmap(Mat mat)
+    {
+        var colorMat = new Mat();
+        if (mat.NumberOfChannels == 1)
+            CvInvoke.CvtColor(mat, colorMat, ColorConversion.Gray2Bgr);
+        else
+            mat.CopyTo(colorMat);
+
+        var bmp = new Bitmap(colorMat.Width, colorMat.Height, System.Drawing.Imaging.PixelFormat.Format24bppRgb);
+
+        var data = bmp.LockBits(
+            new Rectangle(0, 0, bmp.Width, bmp.Height),
+            System.Drawing.Imaging.ImageLockMode.WriteOnly,
+            System.Drawing.Imaging.PixelFormat.Format24bppRgb);
+
+        try
+        {
+            int length = Math.Abs(data.Stride) * colorMat.Height;
+            byte[] buffer = new byte[length];
+            Marshal.Copy(colorMat.DataPointer, buffer, 0, length);
+            Marshal.Copy(buffer, 0, data.Scan0, length);
+        }
+        finally
+        {
+            bmp.UnlockBits(data);
+            colorMat.Dispose();
+        }
+
+        return bmp;
+    }
+
+    public void Dispose()
+    {
+        _cascade?.Dispose();
+        _recognizer?.Dispose();
+    }
+}

FaceRecognitionApp/appsettings.Development.json

@@ -0,0 +1,8 @@
+{
+  "Logging": {
+    "LogLevel": {
+      "Default": "Information",
+      "Microsoft.AspNetCore": "Warning"
+    }
+  }
+}

FaceRecognitionApp/appsettings.json

@@ -0,0 +1,12 @@
+{
+  "Logging": {
+    "LogLevel": {
+      "Default": "Information",
+      "Microsoft.AspNetCore": "Warning"
+    }
+  },
+  "AllowedHosts": "*",
+  "Camera": {
+    "Url": "rtsp://admin:4NUDZhJ7@172.22.10.101:554/cam/realmonitor?channel=1&subtype=0"
+  }
+}

FaceRecognitionApp/wwwroot/index.html

@@ -0,0 +1,73 @@
+<!DOCTYPE html>
+<html>
+<head>
+    <title>Face Recognition</title>
+    <style>
+        body {
+            font-family: sans-serif;
+            background: #222;
+            color: #fff;
+            text-align: center;
+        }
+
+        #gallery {
+            display: flex;
+            flex-wrap: wrap;
+            justify-content: center;
+            gap: 10px;
+            margin-top: 20px;
+        }
+
+        .card {
+            background: #333;
+            padding: 10px;
+            border-radius: 8px;
+            width: 200px;
+        }
+
+        img {
+            width: 100%;
+            border: 3px solid red;
+            border-radius: 4px;
+        }
+
+        .known img {
+            border-color: green;
+        }
+
+        .name {
+            margin-top: 5px;
+            font-weight: bold;
+        }
+
+        .time {
+            font-size: 0.8em;
+            color: #aaa;
+        }
+    </style>
+</head>
+<body>
+    <h1>Live Face Detection</h1>
+    <div id="gallery"></div>
+
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/microsoft-signalr/8.0.0/signalr.min.js"></script>
+    <script>
+        const connection = new signalR.HubConnectionBuilder().withUrl("/faceHub").build();
+
+        connection.on("NewFace", (data) => {
+            const div = document.createElement('div');
+            div.className = data.isRecognized ? 'card known' : 'card';
+            div.innerHTML = `
+                <img src="data:image/jpeg;base64,${data.image}" />
+                <div class="name">${data.isRecognized ? data.name : 'Unknown'}</div>
+                <div class="time">${new Date().toLocaleTimeString()}</div>
+            `;
+            const gallery = document.getElementById('gallery');
+            gallery.insertBefore(div, gallery.firstChild);
+            if (gallery.children.length > 20) gallery.lastChild.remove();
+        });
+
+        connection.start().catch(console.error);
+    </script>
+</body>
+</html>

GenerateYAMLforZabbix/Program.cs

@@ -1,4 +1,5 @@
 using System.Text;
+using System.Xml.Linq;
 
 namespace GenerateYAMLforZabbix
 {
@@ -18,12 +19,14 @@ namespace GenerateYAMLforZabbix
                 //var act4 = host[0].Split(".")[3];
                 var text = $"" +
                     $"    - host: {host[0]}\r\n" +
-                    $"      name: (СПб){host[1]}\r\n" +
+                    $"      name: (ВНК54){host[1]}\r\n" +
                     $"      templates:\r\n" +
                     $"        - name: 'SEC Dahua Camera SNMP'\r\n" +
                     $"      groups:\r\n" +
-                    $"        - name: dahua.cam.spb\r\n" +
+                    $"        - name: dahua.cam.vnk.54\r\n" +
                     $"      interfaces:\r\n" +
+                    $"        - ip: {host[0]}\r\n" +
+                    $"          interface_ref: if2\r\n" +
                     $"        - type: SNMP\r\n" +
                     $"          ip: {host[0]}\r\n" +
                     $"          port: '161'\r\n" +
@@ -37,3 +40,19 @@ namespace GenerateYAMLforZabbix
         }        
     }
 }
+//    - host: 172.16.54.16
+//name: 'Антресоль 3 1-56-T'
+//      templates:
+//-name: 'SEC Dahua Camera SNMP'
+//      groups:
+//-name: dahua.cam.vnk.54
+//      interfaces:
+//-ip: 172.16.54.16
+//          interface_ref: if2
+//        - type: SNMP
+//          ip: 172.16.54.16
+//          port: '161'
+//          details:
+//community: '{$SNMP_COMMUNITY}'
+//          interface_ref: if1
+//      inventory_mode: DISABLED

GenerateYAMLforZabbix/hosts.yaml

@@ -1,6 +1,6 @@
 zabbix_export:
   version: '7.0'
   host_groups:
-    - uuid: 1c44fc80770242e5a82b2e06b9b368b2
+    - uuid: 08a2bf5f5f8c475cbb56ef0c70354a93
-      name: dahua.cam.spb
+      name: dahua.cam.vnk.54
   hosts:

GenerateYAMLforZabbix/listCam.txt

@@ -1,42 +1,32 @@
-172.22.10.51;Пом.545-2
+172.16.54.18;Ворота 35
-172.22.10.52;Пом.519-1
+172.16.54.20;Ворота 36
-172.22.10.53;Пом.511-1
+172.16.54.21;Ворота 31
-172.22.10.54;Пом.517-2
+172.16.54.22;Ворота 32
-172.22.10.55;Эвак. Выход-3
+172.16.54.23;Ворота 33
-172.22.10.56;Пом.545-коридор
+172.16.54.24;Ворота 34
-172.22.10.57;Ресепшн-1
+172.16.54.28;Ворота 16
-172.22.10.58;Пом.545-3
+172.16.54.29;Ворота 26
-172.22.10.59;Пом.521-3
+172.16.54.30;Ворота 20
-172.22.10.60;Пом.535 к лифтам
+172.16.54.31;Ворота 22
-172.22.10.61;Пом.515-2
+172.16.54.32;Ворота 18
-172.22.10.62;Пом.511-2
+172.16.54.33;Ворота 21
-172.22.10.63;Пом.517-1
+172.16.54.34;Ворота 24
-172.22.10.64;Пом.521-1
+172.16.54.35;Ворота 27
-172.22.10.65;Пом.535-коридор
+172.16.54.36;Ворота 29
-172.22.10.66;Пом.526-столовая
+172.16.54.37;Ворота 25
-172.22.10.67;Пом.545-4
+172.16.54.38;Ворота 23
-172.22.10.68;Пом.532-2
+172.16.54.39;Ворота 15
-172.22.10.69;Пом.515-1
+172.16.54.40;Ворота 17
-172.22.10.70;Пом.535-1
+172.16.54.41;Ворота 37
-172.22.10.71;Эвак. Выход-2
+172.16.54.42;Ворота 19
-172.22.10.72;Пом.545-1
+172.16.54.43;Ворота 28
-172.22.10.73;Ресепшн-2
+172.16.54.45;Подмезанин 1 Зона 2
-172.22.10.74;Пом.521-2
+172.16.54.46;Подмезанин 1 Зона 5
-172.22.10.93;Пом.319-столовая
+172.16.54.47;Подмезанин 1 Зона 3
-172.22.10.94;Пом.313-1
+172.16.54.48;Подмезанин 1 Зона 4
-172.22.10.95;Пом.321-1
+172.16.54.49;Подмезанин 1 Зона 1
-172.22.10.96;Коридор от лифт. холла
+172.16.54.50;Пандус Камера 3
-172.22.10.97;Пом.321-2
+172.16.54.51;Антресоль 2 Фабрикон 1 new
-172.22.10.98;Коридор к лифт. холлу
+172.16.54.52;Антресоль 2 Фабрикон 2 new
-172.22.10.99;Пом.313-2
+172.16.54.53;Антресоль 2 Фабрикон 3 new
-172.22.10.100;Пом.323-2
+172.16.54.54;Антресоль 2 Фабрикон 4 new
-172.22.10.101;Пом.323-1
-172.22.10.102;Эвак. Выход
-172.22.10.103;Кроссовая
-172.22.10.104;Пом.304-1
-172.22.10.105;Пом.304-2
-172.22.10.106;Пом.312
-172.22.10.107;Пом.237
-172.22.10.108;Пом.519-2
-172.22.10.109;Пом.244-1
-172.22.10.110;Пом.244-2

Ministreliy/Components/App.razor

@@ -5,8 +5,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <base href="/" />
-    <link rel="stylesheet" href="bootstrap/css/bootstrap.min.css" />
+    <link rel="stylesheet" href="bootstrap/bootstrap.min.css" />
-    
     <link rel="stylesheet" href="app.css" />
     <link rel="stylesheet" href="Ministreliy.styles.css" />
     <link rel="icon" type="image/png" href="favicon.png" />
@@ -16,7 +15,6 @@
 <body>
     <Routes @rendermode="InteractiveServer" />
     <script src="_framework/blazor.web.js"></script>
-    <script src="/bootstrap/js/bootstrap.bundle.js"></script>
 </body>
 
 </html>

Ministreliy/Components/Pages/DatabaseType.razor

@@ -3,12 +3,21 @@
 @using System.Text.Json
 @using Newtonsoft.Json
 @using System.Text
-
 @inject IJSRuntime JS
 @inject NavigationManager NavManager
 
 <PageTitle>База данных</PageTitle>
 
+<ul class="nav nav-tabs">
+    <li class="nav-item">
+        <a class="nav-link" aria-current="page" href="database">Сводные данные</a>
+    </li>
+    <li class="nav-item">
+        <a class="nav-link active" href="database/type">Типы устройств</a>
+    </li>
+
+</ul>
+
 <div class="modal fade modal1" id="addtype" data-bs-backdrop="static" data-bs-keyboard="false" tabindex="-1" aria-labelledby="addtypeLabel" aria-hidden="true">
     <div class="modal-dialog">
         <div class="modal-content">
@@ -41,7 +50,7 @@
 }
 else
 {
-    <ul class="nav nav-tabs">
+    @* <ul class="nav nav-tabs">
         <li class="nav-item" role="presentation">
             <a class="nav-link" aria-current="page" href="database">Сводные данные</a>
         </li>
@@ -56,7 +65,14 @@ else
                href="database/addtype">Добавить Тип</a>
         </li>
 
-    </ul>
+    </ul> *@
+    <br>
+    <button type="button" class="btn btn-primary" data-bs-toggle="modal" data-bs-target="#addtype">
+        Добавить тип
+    </button>
+    <button type="button" class="btn btn-primary" data-bs-toggle="modal" data-bs-target="#deltype">
+        Удалить тип
+    </button>
 
     <div class="card-body p-0">
         <div class="tab-content" id="myTabContent">
@@ -84,9 +100,7 @@ else
     </div>
 
 
-    <button type="button" class="btn btn-primary" data-bs-toggle="modal" data-bs-target="#deltype">
+    
-        Удалить тип
-    </button>
 
 
 
@@ -115,9 +129,7 @@ else
         </div>
     </div>
 }
-    <button type="button" class="btn btn-primary" data-bs-toggle="modal" data-bs-target="#addtype">
+    
-        Добавить тип
-    </button>
 
 @code {
     //HttpClient http = new();
@@ -144,6 +156,7 @@ else
             //id_type = listDT.Count + 1;
             var a = listDT.Select(listDT => listDT.Id).ToList();
             id_type = Enumerable.Range(1, int.MaxValue).FirstOrDefault(i => !a.Contains(i));
+
         }
     }
     private async Task SaveType()

Ministreliy/Components/Pages/Weather.razor

@@ -1,63 +0,0 @@
-@page "/weather"
-
-<PageTitle>Weather</PageTitle>
-
-<h1>Weather</h1>
-
-<p>This component demonstrates showing data.</p>
-
-@if (forecasts == null)
-{
-    <p><em>Loading...</em></p>
-}
-else
-{
-    <table class="table">
-        <thead>
-            <tr>
-                <th>Date</th>
-                <th>Temp. (C)</th>
-                <th>Temp. (F)</th>
-                <th>Summary</th>
-            </tr>
-        </thead>
-        <tbody>
-            @foreach (var forecast in forecasts)
-            {
-                <tr>
-                    <td>@forecast.Date.ToShortDateString()</td>
-                    <td>@forecast.TemperatureC</td>
-                    <td>@forecast.TemperatureF</td>
-                    <td>@forecast.Summary</td>
-                </tr>
-            }
-        </tbody>
-    </table>
-}
-
-@code {
-    private WeatherForecast[]? forecasts;
-
-    protected override async Task OnInitializedAsync()
-    {
-        // Simulate asynchronous loading to demonstrate a loading indicator
-        await Task.Delay(500);
-
-        var startDate = DateOnly.FromDateTime(DateTime.Now);
-        var summaries = new[] { "Freezing", "Bracing", "Chilly", "Cool", "Mild", "Warm", "Balmy", "Hot", "Sweltering", "Scorching" };
-        forecasts = Enumerable.Range(1, 5).Select(index => new WeatherForecast
-        {
-            Date = startDate.AddDays(index),
-            TemperatureC = Random.Shared.Next(-20, 55),
-            Summary = summaries[Random.Shared.Next(summaries.Length)]
-        }).ToArray();
-    }
-
-    private class WeatherForecast
-    {
-        public DateOnly Date { get; set; }
-        public int TemperatureC { get; set; }
-        public string? Summary { get; set; }
-        public int TemperatureF => 32 + (int)(TemperatureC / 0.5556);
-    }
-}

Ministreliy/wwwroot/bootstrap/bootstrap-reboot.css

@@ -0,0 +1,601 @@
+/*!
+ * Bootstrap Reboot v5.3.8 (https://getbootstrap.com/)
+ * Copyright 2011-2025 The Bootstrap Authors
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
+ */
+:root,
+[data-bs-theme=light] {
+  --bs-blue: #0d6efd;
+  --bs-indigo: #6610f2;
+  --bs-purple: #6f42c1;
+  --bs-pink: #d63384;
+  --bs-red: #dc3545;
+  --bs-orange: #fd7e14;
+  --bs-yellow: #ffc107;
+  --bs-green: #198754;
+  --bs-teal: #20c997;
+  --bs-cyan: #0dcaf0;
+  --bs-black: #000;
+  --bs-white: #fff;
+  --bs-gray: #6c757d;
+  --bs-gray-dark: #343a40;
+  --bs-gray-100: #f8f9fa;
+  --bs-gray-200: #e9ecef;
+  --bs-gray-300: #dee2e6;
+  --bs-gray-400: #ced4da;
+  --bs-gray-500: #adb5bd;
+  --bs-gray-600: #6c757d;
+  --bs-gray-700: #495057;
+  --bs-gray-800: #343a40;
+  --bs-gray-900: #212529;
+  --bs-primary: #0d6efd;
+  --bs-secondary: #6c757d;
+  --bs-success: #198754;
+  --bs-info: #0dcaf0;
+  --bs-warning: #ffc107;
+  --bs-danger: #dc3545;
+  --bs-light: #f8f9fa;
+  --bs-dark: #212529;
+  --bs-primary-rgb: 13, 110, 253;
+  --bs-secondary-rgb: 108, 117, 125;
+  --bs-success-rgb: 25, 135, 84;
+  --bs-info-rgb: 13, 202, 240;
+  --bs-warning-rgb: 255, 193, 7;
+  --bs-danger-rgb: 220, 53, 69;
+  --bs-light-rgb: 248, 249, 250;
+  --bs-dark-rgb: 33, 37, 41;
+  --bs-primary-text-emphasis: #052c65;
+  --bs-secondary-text-emphasis: #2b2f32;
+  --bs-success-text-emphasis: #0a3622;
+  --bs-info-text-emphasis: #055160;
+  --bs-warning-text-emphasis: #664d03;
+  --bs-danger-text-emphasis: #58151c;
+  --bs-light-text-emphasis: #495057;
+  --bs-dark-text-emphasis: #495057;
+  --bs-primary-bg-subtle: #cfe2ff;
+  --bs-secondary-bg-subtle: #e2e3e5;
+  --bs-success-bg-subtle: #d1e7dd;
+  --bs-info-bg-subtle: #cff4fc;
+  --bs-warning-bg-subtle: #fff3cd;
+  --bs-danger-bg-subtle: #f8d7da;
+  --bs-light-bg-subtle: #fcfcfd;
+  --bs-dark-bg-subtle: #ced4da;
+  --bs-primary-border-subtle: #9ec5fe;
+  --bs-secondary-border-subtle: #c4c8cb;
+  --bs-success-border-subtle: #a3cfbb;
+  --bs-info-border-subtle: #9eeaf9;
+  --bs-warning-border-subtle: #ffe69c;
+  --bs-danger-border-subtle: #f1aeb5;
+  --bs-light-border-subtle: #e9ecef;
+  --bs-dark-border-subtle: #adb5bd;
+  --bs-white-rgb: 255, 255, 255;
+  --bs-black-rgb: 0, 0, 0;
+  --bs-font-sans-serif: system-ui, -apple-system, "Segoe UI", Roboto, "Helvetica Neue", "Noto Sans", "Liberation Sans", Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";
+  --bs-font-monospace: SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;
+  --bs-gradient: linear-gradient(180deg, rgba(255, 255, 255, 0.15), rgba(255, 255, 255, 0));
+  --bs-body-font-family: var(--bs-font-sans-serif);
+  --bs-body-font-size: 1rem;
+  --bs-body-font-weight: 400;
+  --bs-body-line-height: 1.5;
+  --bs-body-color: #212529;
+  --bs-body-color-rgb: 33, 37, 41;
+  --bs-body-bg: #fff;
+  --bs-body-bg-rgb: 255, 255, 255;
+  --bs-emphasis-color: #000;
+  --bs-emphasis-color-rgb: 0, 0, 0;
+  --bs-secondary-color: rgba(33, 37, 41, 0.75);
+  --bs-secondary-color-rgb: 33, 37, 41;
+  --bs-secondary-bg: #e9ecef;
+  --bs-secondary-bg-rgb: 233, 236, 239;
+  --bs-tertiary-color: rgba(33, 37, 41, 0.5);
+  --bs-tertiary-color-rgb: 33, 37, 41;
+  --bs-tertiary-bg: #f8f9fa;
+  --bs-tertiary-bg-rgb: 248, 249, 250;
+  --bs-heading-color: inherit;
+  --bs-link-color: #0d6efd;
+  --bs-link-color-rgb: 13, 110, 253;
+  --bs-link-decoration: underline;
+  --bs-link-hover-color: #0a58ca;
+  --bs-link-hover-color-rgb: 10, 88, 202;
+  --bs-code-color: #d63384;
+  --bs-highlight-color: #212529;
+  --bs-highlight-bg: #fff3cd;
+  --bs-border-width: 1px;
+  --bs-border-style: solid;
+  --bs-border-color: #dee2e6;
+  --bs-border-color-translucent: rgba(0, 0, 0, 0.175);
+  --bs-border-radius: 0.375rem;
+  --bs-border-radius-sm: 0.25rem;
+  --bs-border-radius-lg: 0.5rem;
+  --bs-border-radius-xl: 1rem;
+  --bs-border-radius-xxl: 2rem;
+  --bs-border-radius-2xl: var(--bs-border-radius-xxl);
+  --bs-border-radius-pill: 50rem;
+  --bs-box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15);
+  --bs-box-shadow-sm: 0 0.125rem 0.25rem rgba(0, 0, 0, 0.075);
+  --bs-box-shadow-lg: 0 1rem 3rem rgba(0, 0, 0, 0.175);
+  --bs-box-shadow-inset: inset 0 1px 2px rgba(0, 0, 0, 0.075);
+  --bs-focus-ring-width: 0.25rem;
+  --bs-focus-ring-opacity: 0.25;
+  --bs-focus-ring-color: rgba(13, 110, 253, 0.25);
+  --bs-form-valid-color: #198754;
+  --bs-form-valid-border-color: #198754;
+  --bs-form-invalid-color: #dc3545;
+  --bs-form-invalid-border-color: #dc3545;
+}
+
+[data-bs-theme=dark] {
+  color-scheme: dark;
+  --bs-body-color: #dee2e6;
+  --bs-body-color-rgb: 222, 226, 230;
+  --bs-body-bg: #212529;
+  --bs-body-bg-rgb: 33, 37, 41;
+  --bs-emphasis-color: #fff;
+  --bs-emphasis-color-rgb: 255, 255, 255;
+  --bs-secondary-color: rgba(222, 226, 230, 0.75);
+  --bs-secondary-color-rgb: 222, 226, 230;
+  --bs-secondary-bg: #343a40;
+  --bs-secondary-bg-rgb: 52, 58, 64;
+  --bs-tertiary-color: rgba(222, 226, 230, 0.5);
+  --bs-tertiary-color-rgb: 222, 226, 230;
+  --bs-tertiary-bg: #2b3035;
+  --bs-tertiary-bg-rgb: 43, 48, 53;
+  --bs-primary-text-emphasis: #6ea8fe;
+  --bs-secondary-text-emphasis: #a7acb1;
+  --bs-success-text-emphasis: #75b798;
+  --bs-info-text-emphasis: #6edff6;
+  --bs-warning-text-emphasis: #ffda6a;
+  --bs-danger-text-emphasis: #ea868f;
+  --bs-light-text-emphasis: #f8f9fa;
+  --bs-dark-text-emphasis: #dee2e6;
+  --bs-primary-bg-subtle: #031633;
+  --bs-secondary-bg-subtle: #161719;
+  --bs-success-bg-subtle: #051b11;
+  --bs-info-bg-subtle: #032830;
+  --bs-warning-bg-subtle: #332701;
+  --bs-danger-bg-subtle: #2c0b0e;
+  --bs-light-bg-subtle: #343a40;
+  --bs-dark-bg-subtle: #1a1d20;
+  --bs-primary-border-subtle: #084298;
+  --bs-secondary-border-subtle: #41464b;
+  --bs-success-border-subtle: #0f5132;
+  --bs-info-border-subtle: #087990;
+  --bs-warning-border-subtle: #997404;
+  --bs-danger-border-subtle: #842029;
+  --bs-light-border-subtle: #495057;
+  --bs-dark-border-subtle: #343a40;
+  --bs-heading-color: inherit;
+  --bs-link-color: #6ea8fe;
+  --bs-link-hover-color: #8bb9fe;
+  --bs-link-color-rgb: 110, 168, 254;
+  --bs-link-hover-color-rgb: 139, 185, 254;
+  --bs-code-color: #e685b5;
+  --bs-highlight-color: #dee2e6;
+  --bs-highlight-bg: #664d03;
+  --bs-border-color: #495057;
+  --bs-border-color-translucent: rgba(255, 255, 255, 0.15);
+  --bs-form-valid-color: #75b798;
+  --bs-form-valid-border-color: #75b798;
+  --bs-form-invalid-color: #ea868f;
+  --bs-form-invalid-border-color: #ea868f;
+}
+
+*,
+*::before,
+*::after {
+  box-sizing: border-box;
+}
+
+@media (prefers-reduced-motion: no-preference) {
+  :root {
+    scroll-behavior: smooth;
+  }
+}
+
+body {
+  margin: 0;
+  font-family: var(--bs-body-font-family);
+  font-size: var(--bs-body-font-size);
+  font-weight: var(--bs-body-font-weight);
+  line-height: var(--bs-body-line-height);
+  color: var(--bs-body-color);
+  text-align: var(--bs-body-text-align);
+  background-color: var(--bs-body-bg);
+  -webkit-text-size-adjust: 100%;
+  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
+}
+
+hr {
+  margin: 1rem 0;
+  color: inherit;
+  border: 0;
+  border-top: var(--bs-border-width) solid;
+  opacity: 0.25;
+}
+
+h6, h5, h4, h3, h2, h1 {
+  margin-top: 0;
+  margin-bottom: 0.5rem;
+  font-weight: 500;
+  line-height: 1.2;
+  color: var(--bs-heading-color);
+}
+
+h1 {
+  font-size: calc(1.375rem + 1.5vw);
+}
+@media (min-width: 1200px) {
+  h1 {
+    font-size: 2.5rem;
+  }
+}
+
+h2 {
+  font-size: calc(1.325rem + 0.9vw);
+}
+@media (min-width: 1200px) {
+  h2 {
+    font-size: 2rem;
+  }
+}
+
+h3 {
+  font-size: calc(1.3rem + 0.6vw);
+}
+@media (min-width: 1200px) {
+  h3 {
+    font-size: 1.75rem;
+  }
+}
+
+h4 {
+  font-size: calc(1.275rem + 0.3vw);
+}
+@media (min-width: 1200px) {
+  h4 {
+    font-size: 1.5rem;
+  }
+}
+
+h5 {
+  font-size: 1.25rem;
+}
+
+h6 {
+  font-size: 1rem;
+}
+
+p {
+  margin-top: 0;
+  margin-bottom: 1rem;
+}
+
+abbr[title] {
+  -webkit-text-decoration: underline dotted;
+  text-decoration: underline dotted;
+  cursor: help;
+  -webkit-text-decoration-skip-ink: none;
+  text-decoration-skip-ink: none;
+}
+
+address {
+  margin-bottom: 1rem;
+  font-style: normal;
+  line-height: inherit;
+}
+
+ol,
+ul {
+  padding-left: 2rem;
+}
+
+ol,
+ul,
+dl {
+  margin-top: 0;
+  margin-bottom: 1rem;
+}
+
+ol ol,
+ul ul,
+ol ul,
+ul ol {
+  margin-bottom: 0;
+}
+
+dt {
+  font-weight: 700;
+}
+
+dd {
+  margin-bottom: 0.5rem;
+  margin-left: 0;
+}
+
+blockquote {
+  margin: 0 0 1rem;
+}
+
+b,
+strong {
+  font-weight: bolder;
+}
+
+small {
+  font-size: 0.875em;
+}
+
+mark {
+  padding: 0.1875em;
+  color: var(--bs-highlight-color);
+  background-color: var(--bs-highlight-bg);
+}
+
+sub,
+sup {
+  position: relative;
+  font-size: 0.75em;
+  line-height: 0;
+  vertical-align: baseline;
+}
+
+sub {
+  bottom: -0.25em;
+}
+
+sup {
+  top: -0.5em;
+}
+
+a {
+  color: rgba(var(--bs-link-color-rgb), var(--bs-link-opacity, 1));
+  text-decoration: underline;
+}
+a:hover {
+  --bs-link-color-rgb: var(--bs-link-hover-color-rgb);
+}
+
+a:not([href]):not([class]), a:not([href]):not([class]):hover {
+  color: inherit;
+  text-decoration: none;
+}
+
+pre,
+code,
+kbd,
+samp {
+  font-family: var(--bs-font-monospace);
+  font-size: 1em;
+}
+
+pre {
+  display: block;
+  margin-top: 0;
+  margin-bottom: 1rem;
+  overflow: auto;
+  font-size: 0.875em;
+}
+pre code {
+  font-size: inherit;
+  color: inherit;
+  word-break: normal;
+}
+
+code {
+  font-size: 0.875em;
+  color: var(--bs-code-color);
+  word-wrap: break-word;
+}
+a > code {
+  color: inherit;
+}
+
+kbd {
+  padding: 0.1875rem 0.375rem;
+  font-size: 0.875em;
+  color: var(--bs-body-bg);
+  background-color: var(--bs-body-color);
+  border-radius: 0.25rem;
+}
+kbd kbd {
+  padding: 0;
+  font-size: 1em;
+}
+
+figure {
+  margin: 0 0 1rem;
+}
+
+img,
+svg {
+  vertical-align: middle;
+}
+
+table {
+  caption-side: bottom;
+  border-collapse: collapse;
+}
+
+caption {
+  padding-top: 0.5rem;
+  padding-bottom: 0.5rem;
+  color: var(--bs-secondary-color);
+  text-align: left;
+}
+
+th {
+  text-align: inherit;
+  text-align: -webkit-match-parent;
+}
+
+thead,
+tbody,
+tfoot,
+tr,
+td,
+th {
+  border-color: inherit;
+  border-style: solid;
+  border-width: 0;
+}
+
+label {
+  display: inline-block;
+}
+
+button {
+  border-radius: 0;
+}
+
+button:focus:not(:focus-visible) {
+  outline: 0;
+}
+
+input,
+button,
+select,
+optgroup,
+textarea {
+  margin: 0;
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+}
+
+button,
+select {
+  text-transform: none;
+}
+
+[role=button] {
+  cursor: pointer;
+}
+
+select {
+  word-wrap: normal;
+}
+select:disabled {
+  opacity: 1;
+}
+
+[list]:not([type=date]):not([type=datetime-local]):not([type=month]):not([type=week]):not([type=time])::-webkit-calendar-picker-indicator {
+  display: none !important;
+}
+
+button,
+[type=button],
+[type=reset],
+[type=submit] {
+  -webkit-appearance: button;
+}
+button:not(:disabled),
+[type=button]:not(:disabled),
+[type=reset]:not(:disabled),
+[type=submit]:not(:disabled) {
+  cursor: pointer;
+}
+
+::-moz-focus-inner {
+  padding: 0;
+  border-style: none;
+}
+
+textarea {
+  resize: vertical;
+}
+
+fieldset {
+  min-width: 0;
+  padding: 0;
+  margin: 0;
+  border: 0;
+}
+
+legend {
+  float: left;
+  width: 100%;
+  padding: 0;
+  margin-bottom: 0.5rem;
+  line-height: inherit;
+  font-size: calc(1.275rem + 0.3vw);
+}
+@media (min-width: 1200px) {
+  legend {
+    font-size: 1.5rem;
+  }
+}
+legend + * {
+  clear: left;
+}
+
+::-webkit-datetime-edit-fields-wrapper,
+::-webkit-datetime-edit-text,
+::-webkit-datetime-edit-minute,
+::-webkit-datetime-edit-hour-field,
+::-webkit-datetime-edit-day-field,
+::-webkit-datetime-edit-month-field,
+::-webkit-datetime-edit-year-field {
+  padding: 0;
+}
+
+::-webkit-inner-spin-button {
+  height: auto;
+}
+
+[type=search] {
+  -webkit-appearance: textfield;
+  outline-offset: -2px;
+}
+[type=search]::-webkit-search-cancel-button {
+  cursor: pointer;
+  filter: grayscale(1);
+}
+
+/* rtl:raw:
+[type="tel"],
+[type="url"],
+[type="email"],
+[type="number"] {
+  direction: ltr;
+}
+*/
+::-webkit-search-decoration {
+  -webkit-appearance: none;
+}
+
+::-webkit-color-swatch-wrapper {
+  padding: 0;
+}
+
+::-webkit-file-upload-button {
+  font: inherit;
+  -webkit-appearance: button;
+}
+
+::file-selector-button {
+  font: inherit;
+  -webkit-appearance: button;
+}
+
+output {
+  display: inline-block;
+}
+
+iframe {
+  border: 0;
+}
+
+summary {
+  display: list-item;
+  cursor: pointer;
+}
+
+progress {
+  vertical-align: baseline;
+}
+
+[hidden] {
+  display: none !important;
+}
+
+/*# sourceMappingURL=bootstrap-reboot.css.map */

Ministreliy/wwwroot/bootstrap/bootstrap-reboot.rtl.css

@@ -0,0 +1,598 @@
+/*!
+ * Bootstrap Reboot v5.3.8 (https://getbootstrap.com/)
+ * Copyright 2011-2025 The Bootstrap Authors
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
+ */
+:root,
+[data-bs-theme=light] {
+  --bs-blue: #0d6efd;
+  --bs-indigo: #6610f2;
+  --bs-purple: #6f42c1;
+  --bs-pink: #d63384;
+  --bs-red: #dc3545;
+  --bs-orange: #fd7e14;
+  --bs-yellow: #ffc107;
+  --bs-green: #198754;
+  --bs-teal: #20c997;
+  --bs-cyan: #0dcaf0;
+  --bs-black: #000;
+  --bs-white: #fff;
+  --bs-gray: #6c757d;
+  --bs-gray-dark: #343a40;
+  --bs-gray-100: #f8f9fa;
+  --bs-gray-200: #e9ecef;
+  --bs-gray-300: #dee2e6;
+  --bs-gray-400: #ced4da;
+  --bs-gray-500: #adb5bd;
+  --bs-gray-600: #6c757d;
+  --bs-gray-700: #495057;
+  --bs-gray-800: #343a40;
+  --bs-gray-900: #212529;
+  --bs-primary: #0d6efd;
+  --bs-secondary: #6c757d;
+  --bs-success: #198754;
+  --bs-info: #0dcaf0;
+  --bs-warning: #ffc107;
+  --bs-danger: #dc3545;
+  --bs-light: #f8f9fa;
+  --bs-dark: #212529;
+  --bs-primary-rgb: 13, 110, 253;
+  --bs-secondary-rgb: 108, 117, 125;
+  --bs-success-rgb: 25, 135, 84;
+  --bs-info-rgb: 13, 202, 240;
+  --bs-warning-rgb: 255, 193, 7;
+  --bs-danger-rgb: 220, 53, 69;
+  --bs-light-rgb: 248, 249, 250;
+  --bs-dark-rgb: 33, 37, 41;
+  --bs-primary-text-emphasis: #052c65;
+  --bs-secondary-text-emphasis: #2b2f32;
+  --bs-success-text-emphasis: #0a3622;
+  --bs-info-text-emphasis: #055160;
+  --bs-warning-text-emphasis: #664d03;
+  --bs-danger-text-emphasis: #58151c;
+  --bs-light-text-emphasis: #495057;
+  --bs-dark-text-emphasis: #495057;
+  --bs-primary-bg-subtle: #cfe2ff;
+  --bs-secondary-bg-subtle: #e2e3e5;
+  --bs-success-bg-subtle: #d1e7dd;
+  --bs-info-bg-subtle: #cff4fc;
+  --bs-warning-bg-subtle: #fff3cd;
+  --bs-danger-bg-subtle: #f8d7da;
+  --bs-light-bg-subtle: #fcfcfd;
+  --bs-dark-bg-subtle: #ced4da;
+  --bs-primary-border-subtle: #9ec5fe;
+  --bs-secondary-border-subtle: #c4c8cb;
+  --bs-success-border-subtle: #a3cfbb;
+  --bs-info-border-subtle: #9eeaf9;
+  --bs-warning-border-subtle: #ffe69c;
+  --bs-danger-border-subtle: #f1aeb5;
+  --bs-light-border-subtle: #e9ecef;
+  --bs-dark-border-subtle: #adb5bd;
+  --bs-white-rgb: 255, 255, 255;
+  --bs-black-rgb: 0, 0, 0;
+  --bs-font-sans-serif: system-ui, -apple-system, "Segoe UI", Roboto, "Helvetica Neue", "Noto Sans", "Liberation Sans", Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";
+  --bs-font-monospace: SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;
+  --bs-gradient: linear-gradient(180deg, rgba(255, 255, 255, 0.15), rgba(255, 255, 255, 0));
+  --bs-body-font-family: var(--bs-font-sans-serif);
+  --bs-body-font-size: 1rem;
+  --bs-body-font-weight: 400;
+  --bs-body-line-height: 1.5;
+  --bs-body-color: #212529;
+  --bs-body-color-rgb: 33, 37, 41;
+  --bs-body-bg: #fff;
+  --bs-body-bg-rgb: 255, 255, 255;
+  --bs-emphasis-color: #000;
+  --bs-emphasis-color-rgb: 0, 0, 0;
+  --bs-secondary-color: rgba(33, 37, 41, 0.75);
+  --bs-secondary-color-rgb: 33, 37, 41;
+  --bs-secondary-bg: #e9ecef;
+  --bs-secondary-bg-rgb: 233, 236, 239;
+  --bs-tertiary-color: rgba(33, 37, 41, 0.5);
+  --bs-tertiary-color-rgb: 33, 37, 41;
+  --bs-tertiary-bg: #f8f9fa;
+  --bs-tertiary-bg-rgb: 248, 249, 250;
+  --bs-heading-color: inherit;
+  --bs-link-color: #0d6efd;
+  --bs-link-color-rgb: 13, 110, 253;
+  --bs-link-decoration: underline;
+  --bs-link-hover-color: #0a58ca;
+  --bs-link-hover-color-rgb: 10, 88, 202;
+  --bs-code-color: #d63384;
+  --bs-highlight-color: #212529;
+  --bs-highlight-bg: #fff3cd;
+  --bs-border-width: 1px;
+  --bs-border-style: solid;
+  --bs-border-color: #dee2e6;
+  --bs-border-color-translucent: rgba(0, 0, 0, 0.175);
+  --bs-border-radius: 0.375rem;
+  --bs-border-radius-sm: 0.25rem;
+  --bs-border-radius-lg: 0.5rem;
+  --bs-border-radius-xl: 1rem;
+  --bs-border-radius-xxl: 2rem;
+  --bs-border-radius-2xl: var(--bs-border-radius-xxl);
+  --bs-border-radius-pill: 50rem;
+  --bs-box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15);
+  --bs-box-shadow-sm: 0 0.125rem 0.25rem rgba(0, 0, 0, 0.075);
+  --bs-box-shadow-lg: 0 1rem 3rem rgba(0, 0, 0, 0.175);
+  --bs-box-shadow-inset: inset 0 1px 2px rgba(0, 0, 0, 0.075);
+  --bs-focus-ring-width: 0.25rem;
+  --bs-focus-ring-opacity: 0.25;
+  --bs-focus-ring-color: rgba(13, 110, 253, 0.25);
+  --bs-form-valid-color: #198754;
+  --bs-form-valid-border-color: #198754;
+  --bs-form-invalid-color: #dc3545;
+  --bs-form-invalid-border-color: #dc3545;
+}
+
+[data-bs-theme=dark] {
+  color-scheme: dark;
+  --bs-body-color: #dee2e6;
+  --bs-body-color-rgb: 222, 226, 230;
+  --bs-body-bg: #212529;
+  --bs-body-bg-rgb: 33, 37, 41;
+  --bs-emphasis-color: #fff;
+  --bs-emphasis-color-rgb: 255, 255, 255;
+  --bs-secondary-color: rgba(222, 226, 230, 0.75);
+  --bs-secondary-color-rgb: 222, 226, 230;
+  --bs-secondary-bg: #343a40;
+  --bs-secondary-bg-rgb: 52, 58, 64;
+  --bs-tertiary-color: rgba(222, 226, 230, 0.5);
+  --bs-tertiary-color-rgb: 222, 226, 230;
+  --bs-tertiary-bg: #2b3035;
+  --bs-tertiary-bg-rgb: 43, 48, 53;
+  --bs-primary-text-emphasis: #6ea8fe;
+  --bs-secondary-text-emphasis: #a7acb1;
+  --bs-success-text-emphasis: #75b798;
+  --bs-info-text-emphasis: #6edff6;
+  --bs-warning-text-emphasis: #ffda6a;
+  --bs-danger-text-emphasis: #ea868f;
+  --bs-light-text-emphasis: #f8f9fa;
+  --bs-dark-text-emphasis: #dee2e6;
+  --bs-primary-bg-subtle: #031633;
+  --bs-secondary-bg-subtle: #161719;
+  --bs-success-bg-subtle: #051b11;
+  --bs-info-bg-subtle: #032830;
+  --bs-warning-bg-subtle: #332701;
+  --bs-danger-bg-subtle: #2c0b0e;
+  --bs-light-bg-subtle: #343a40;
+  --bs-dark-bg-subtle: #1a1d20;
+  --bs-primary-border-subtle: #084298;
+  --bs-secondary-border-subtle: #41464b;
+  --bs-success-border-subtle: #0f5132;
+  --bs-info-border-subtle: #087990;
+  --bs-warning-border-subtle: #997404;
+  --bs-danger-border-subtle: #842029;
+  --bs-light-border-subtle: #495057;
+  --bs-dark-border-subtle: #343a40;
+  --bs-heading-color: inherit;
+  --bs-link-color: #6ea8fe;
+  --bs-link-hover-color: #8bb9fe;
+  --bs-link-color-rgb: 110, 168, 254;
+  --bs-link-hover-color-rgb: 139, 185, 254;
+  --bs-code-color: #e685b5;
+  --bs-highlight-color: #dee2e6;
+  --bs-highlight-bg: #664d03;
+  --bs-border-color: #495057;
+  --bs-border-color-translucent: rgba(255, 255, 255, 0.15);
+  --bs-form-valid-color: #75b798;
+  --bs-form-valid-border-color: #75b798;
+  --bs-form-invalid-color: #ea868f;
+  --bs-form-invalid-border-color: #ea868f;
+}
+
+*,
+*::before,
+*::after {
+  box-sizing: border-box;
+}
+
+@media (prefers-reduced-motion: no-preference) {
+  :root {
+    scroll-behavior: smooth;
+  }
+}
+
+body {
+  margin: 0;
+  font-family: var(--bs-body-font-family);
+  font-size: var(--bs-body-font-size);
+  font-weight: var(--bs-body-font-weight);
+  line-height: var(--bs-body-line-height);
+  color: var(--bs-body-color);
+  text-align: var(--bs-body-text-align);
+  background-color: var(--bs-body-bg);
+  -webkit-text-size-adjust: 100%;
+  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
+}
+
+hr {
+  margin: 1rem 0;
+  color: inherit;
+  border: 0;
+  border-top: var(--bs-border-width) solid;
+  opacity: 0.25;
+}
+
+h6, h5, h4, h3, h2, h1 {
+  margin-top: 0;
+  margin-bottom: 0.5rem;
+  font-weight: 500;
+  line-height: 1.2;
+  color: var(--bs-heading-color);
+}
+
+h1 {
+  font-size: calc(1.375rem + 1.5vw);
+}
+@media (min-width: 1200px) {
+  h1 {
+    font-size: 2.5rem;
+  }
+}
+
+h2 {
+  font-size: calc(1.325rem + 0.9vw);
+}
+@media (min-width: 1200px) {
+  h2 {
+    font-size: 2rem;
+  }
+}
+
+h3 {
+  font-size: calc(1.3rem + 0.6vw);
+}
+@media (min-width: 1200px) {
+  h3 {
+    font-size: 1.75rem;
+  }
+}
+
+h4 {
+  font-size: calc(1.275rem + 0.3vw);
+}
+@media (min-width: 1200px) {
+  h4 {
+    font-size: 1.5rem;
+  }
+}
+
+h5 {
+  font-size: 1.25rem;
+}
+
+h6 {
+  font-size: 1rem;
+}
+
+p {
+  margin-top: 0;
+  margin-bottom: 1rem;
+}
+
+abbr[title] {
+  -webkit-text-decoration: underline dotted;
+  text-decoration: underline dotted;
+  cursor: help;
+  -webkit-text-decoration-skip-ink: none;
+  text-decoration-skip-ink: none;
+}
+
+address {
+  margin-bottom: 1rem;
+  font-style: normal;
+  line-height: inherit;
+}
+
+ol,
+ul {
+  padding-right: 2rem;
+}
+
+ol,
+ul,
+dl {
+  margin-top: 0;
+  margin-bottom: 1rem;
+}
+
+ol ol,
+ul ul,
+ol ul,
+ul ol {
+  margin-bottom: 0;
+}
+
+dt {
+  font-weight: 700;
+}
+
+dd {
+  margin-bottom: 0.5rem;
+  margin-right: 0;
+}
+
+blockquote {
+  margin: 0 0 1rem;
+}
+
+b,
+strong {
+  font-weight: bolder;
+}
+
+small {
+  font-size: 0.875em;
+}
+
+mark {
+  padding: 0.1875em;
+  color: var(--bs-highlight-color);
+  background-color: var(--bs-highlight-bg);
+}
+
+sub,
+sup {
+  position: relative;
+  font-size: 0.75em;
+  line-height: 0;
+  vertical-align: baseline;
+}
+
+sub {
+  bottom: -0.25em;
+}
+
+sup {
+  top: -0.5em;
+}
+
+a {
+  color: rgba(var(--bs-link-color-rgb), var(--bs-link-opacity, 1));
+  text-decoration: underline;
+}
+a:hover {
+  --bs-link-color-rgb: var(--bs-link-hover-color-rgb);
+}
+
+a:not([href]):not([class]), a:not([href]):not([class]):hover {
+  color: inherit;
+  text-decoration: none;
+}
+
+pre,
+code,
+kbd,
+samp {
+  font-family: var(--bs-font-monospace);
+  font-size: 1em;
+}
+
+pre {
+  display: block;
+  margin-top: 0;
+  margin-bottom: 1rem;
+  overflow: auto;
+  font-size: 0.875em;
+}
+pre code {
+  font-size: inherit;
+  color: inherit;
+  word-break: normal;
+}
+
+code {
+  font-size: 0.875em;
+  color: var(--bs-code-color);
+  word-wrap: break-word;
+}
+a > code {
+  color: inherit;
+}
+
+kbd {
+  padding: 0.1875rem 0.375rem;
+  font-size: 0.875em;
+  color: var(--bs-body-bg);
+  background-color: var(--bs-body-color);
+  border-radius: 0.25rem;
+}
+kbd kbd {
+  padding: 0;
+  font-size: 1em;
+}
+
+figure {
+  margin: 0 0 1rem;
+}
+
+img,
+svg {
+  vertical-align: middle;
+}
+
+table {
+  caption-side: bottom;
+  border-collapse: collapse;
+}
+
+caption {
+  padding-top: 0.5rem;
+  padding-bottom: 0.5rem;
+  color: var(--bs-secondary-color);
+  text-align: right;
+}
+
+th {
+  text-align: inherit;
+  text-align: -webkit-match-parent;
+}
+
+thead,
+tbody,
+tfoot,
+tr,
+td,
+th {
+  border-color: inherit;
+  border-style: solid;
+  border-width: 0;
+}
+
+label {
+  display: inline-block;
+}
+
+button {
+  border-radius: 0;
+}
+
+button:focus:not(:focus-visible) {
+  outline: 0;
+}
+
+input,
+button,
+select,
+optgroup,
+textarea {
+  margin: 0;
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+}
+
+button,
+select {
+  text-transform: none;
+}
+
+[role=button] {
+  cursor: pointer;
+}
+
+select {
+  word-wrap: normal;
+}
+select:disabled {
+  opacity: 1;
+}
+
+[list]:not([type=date]):not([type=datetime-local]):not([type=month]):not([type=week]):not([type=time])::-webkit-calendar-picker-indicator {
+  display: none !important;
+}
+
+button,
+[type=button],
+[type=reset],
+[type=submit] {
+  -webkit-appearance: button;
+}
+button:not(:disabled),
+[type=button]:not(:disabled),
+[type=reset]:not(:disabled),
+[type=submit]:not(:disabled) {
+  cursor: pointer;
+}
+
+::-moz-focus-inner {
+  padding: 0;
+  border-style: none;
+}
+
+textarea {
+  resize: vertical;
+}
+
+fieldset {
+  min-width: 0;
+  padding: 0;
+  margin: 0;
+  border: 0;
+}
+
+legend {
+  float: right;
+  width: 100%;
+  padding: 0;
+  margin-bottom: 0.5rem;
+  line-height: inherit;
+  font-size: calc(1.275rem + 0.3vw);
+}
+@media (min-width: 1200px) {
+  legend {
+    font-size: 1.5rem;
+  }
+}
+legend + * {
+  clear: right;
+}
+
+::-webkit-datetime-edit-fields-wrapper,
+::-webkit-datetime-edit-text,
+::-webkit-datetime-edit-minute,
+::-webkit-datetime-edit-hour-field,
+::-webkit-datetime-edit-day-field,
+::-webkit-datetime-edit-month-field,
+::-webkit-datetime-edit-year-field {
+  padding: 0;
+}
+
+::-webkit-inner-spin-button {
+  height: auto;
+}
+
+[type=search] {
+  -webkit-appearance: textfield;
+  outline-offset: -2px;
+}
+[type=search]::-webkit-search-cancel-button {
+  cursor: pointer;
+  filter: grayscale(1);
+}
+
+[type="tel"],
+[type="url"],
+[type="email"],
+[type="number"] {
+  direction: ltr;
+}
+::-webkit-search-decoration {
+  -webkit-appearance: none;
+}
+
+::-webkit-color-swatch-wrapper {
+  padding: 0;
+}
+
+::-webkit-file-upload-button {
+  font: inherit;
+  -webkit-appearance: button;
+}
+
+::file-selector-button {
+  font: inherit;
+  -webkit-appearance: button;
+}
+
+output {
+  display: inline-block;
+}
+
+iframe {
+  border: 0;
+}
+
+summary {
+  display: list-item;
+  cursor: pointer;
+}
+
+progress {
+  vertical-align: baseline;
+}
+
+[hidden] {
+  display: none !important;
+}
+/*# sourceMappingURL=bootstrap-reboot.rtl.css.map */

Strela/Controllers/DeviceController.cs

@@ -1,6 +1,5 @@
 using Microsoft.AspNetCore.Http.HttpResults;
 using Microsoft.AspNetCore.Mvc;
-using Microsoft.EntityFrameworkCore;
 using Strela.Models;
 using Strela.Services;
 
@@ -16,6 +15,7 @@ public class DeviceController : ControllerBase
     {
         _logger = logger;
     }
+
     //=========================== GET =================================//
     [HttpGet("GetTypes")]
     [ProducesResponseType<List<DeviceType>>(StatusCodes.Status200OK)]

Strela/Models/DeviceItem.cs

@@ -13,10 +13,10 @@
         public int ConnectedToSwitchId { get; set; }
         public int ConnectedToPortOnSwitch { get; set; }
 
-        //public DeviceItem(int type, string ip, string mac, string location)
+        public DeviceItem(string ip, string mac, string location)
-        //{
+        {
             
-        //}
+        }
     }
     
         //Unknown = 0,

lsConsole/Program.cs

@@ -75,7 +75,76 @@ Dictionary<string, string> listSw = new Dictionary<string, string>
 };
 List<string> listMac = new List<string>()
 {
-"b13b"
+"8bcb",
+"8c96",
+"8d44",
+"8be8",
+"fe71",
+"fb45",
+"fe54",
+"9e11",
+"fec8",
+"fe8e",
+"fa23",
+"8c79",
+"fb0b",
+"836d",
+"8316",
+"8c3f",
+"45e3",
+"fd32",
+"47ed",
+"8b3a",
+"4535",
+"822e",
+"8c22",
+"fb9c",
+"faee",
+"fda6",
+"fe37",
+"f9cc",
+"4861",
+"fd6c",
+"fde0",
+"f975",
+"fcf8",
+"fdfd",
+"4dee",
+"841b",
+"8d61",
+"8d27",
+"fc2d",
+"f9af",
+"8d0a",
+"8ced",
+"fd89",
+"4bc7",
+"fee5",
+"ff02",
+"4a6b",
+"9728",
+"9ea2",
+"8c05",
+"46e8",
+"8bae",
+"8cb3",
+"156d",
+"d887",
+"9e85",
+"d1f7",
+"96d1",
+"97b9",
+"9762",
+"9745",
+"886b",
+"86f2",
+"8155",
+"74d2",
+"7529",
+"7cdd",
+"9e4b",
+"155d",
+"93df"
 };
 
 string host = "172.16.48.4";
@@ -95,9 +164,8 @@ using (var client = new SshClient(host, port, username, password))
         {
             var command = client.RunCommand($"show mac-address | include {mac}");
             var otvet = command.Result.Split("\r\n")[1].Substring(45, 8);
-            Console.WriteLine(listSw[otvet]);
+            Console.WriteLine(otvet);// listSw[otvet]);
         }
-        Console.ReadKey();
     }
     catch (Exception ex)
     {
@@ -111,4 +179,5 @@ using (var client = new SshClient(host, port, username, password))
             Console.WriteLine("Отключено.");
         }
     }
+    Console.ReadKey();
 }

lsSoft.slnx

@@ -1,4 +1,7 @@
 <Solution>
+  <Folder Name="/Faces/">
+    <Project Path="FaceRecognitionApp/FaceRecognitionApp.csproj" Id="401c1b89-2e49-4ad0-8e88-0aff3edb4c6c" />
+  </Folder>
   <Folder Name="/LC/">
     <Project Path="Ministreliy/Ministreliy.csproj" Id="ffd1e86c-d678-413c-a0fd-dd75b4ec1b2e" />
     <Project Path="Strela/Strela.csproj" />

snmp_dahua/Program.cs

@@ -21,13 +21,13 @@
             })
             using (var httpClient = new HttpClient(handler))
             {
-                string requestUrl = $"{baseUrlS}/cgi-bin/configManager.cgi?action=setConfig&SNMP.Enable=false";
+                string requestUrl = $"{baseUrlS}/cgi-bin/configManager.cgi?action=setConfig&SNMP.Enable=false&SNMP.ReadCommon=public&SNMP.WriteCommon=private&SNMP.V2Enable=false";
                 var response = await httpClient.GetAsync(requestUrl);
                 response.EnsureSuccessStatusCode();
                 var r = response.ReasonPhrase;// .Content.ReadAsStringAsync();
                 if (r.StartsWith("OK"))
                 {
-                    string requestUrl2 = $"{baseUrlS}/cgi-bin/configManager.cgi?action=setConfig&SNMP.Enable=true";
+                    string requestUrl2 = $"{baseUrlS}/cgi-bin/configManager.cgi?action=setConfig&SNMP.Enable=true&SNMP.ReadCommon=public&SNMP.WriteCommon=private&SNMP.V2Enable=true";
                     var response2 = await httpClient.GetAsync(requestUrl2);
                     var r2 = response2.ReasonPhrase;//.Content.ReadAsStringAsync();
                     if (r2.StartsWith("OK")) Console.WriteLine("0");