OK

DahuaIPCRename/Program.cs

@@ -6,15 +6,28 @@ namespace DahuaIPCRename
     {
         public static Dictionary<string, string> listIPC = new Dictionary<string, string>
         {
-            {"172.22.10.122","Этаж 2|Пом. 247"},
+            {"172.16.54.18","Ворота 35"},
-            {"172.22.10.123","Этаж 2|Пом. 248-4"},
+            {"172.16.54.20","Ворота 36"},
-            {"172.22.10.124","Этаж 2|Пом. 248-5"},
+            {"172.16.54.21","Ворота 31"},
-            {"172.22.10.125","Этаж 2|Пом. 248-2"},
+            {"172.16.54.22","Ворота 32"},
-            {"172.22.10.126","Этаж 2|Пом. 248-6"},
+            {"172.16.54.23","Ворота 33"},
-            {"172.22.10.127","Этаж 2|Пом. 248-3"},
+            {"172.16.54.24","Ворота 34"},
-            {"172.22.10.128","Этаж 2|Пом. 273-1"},
+            {"172.16.54.28","Ворота 16"},
-            {"172.22.10.129","Этаж 2|Пом. 268-1"},
+            {"172.16.54.29","Ворота 26"},
-            {"172.22.10.130","Этаж 2|Пом. 273-2"}
+            {"172.16.54.30","Ворота 20"},
+            {"172.16.54.31","Ворота 22"},
+            {"172.16.54.32","Ворота 18"},
+            {"172.16.54.33","Ворота 21"},
+            {"172.16.54.34","Ворота 24"},
+            {"172.16.54.35","Ворота 27"},
+            {"172.16.54.36","Ворота 29"},
+            {"172.16.54.37","Ворота 25"},
+            {"172.16.54.38","Ворота 23"},
+            {"172.16.54.39","Ворота 15"},
+            {"172.16.54.40","Ворота 17"},
+            {"172.16.54.41","Ворота 37"},
+            {"172.16.54.42","Ворота 19"},
+            {"172.16.54.43","Ворота 28"}
         };
 
         static async Task Main(string[] args)

FaceRecognitionApp/FaceRecognitionApp.csproj

@@ -1,23 +0,0 @@
-<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

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

FaceRecognitionApp/Models/Employee.cs

@@ -1,18 +0,0 @@
-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

@@ -1,58 +0,0 @@
-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

@@ -1,29 +0,0 @@
-{
-  "$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

@@ -1,144 +0,0 @@
-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

@@ -1,65 +0,0 @@
-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

@@ -1,234 +0,0 @@
-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

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

FaceRecognitionApp/appsettings.json

@@ -1,12 +0,0 @@
-{
-  "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

@@ -1,73 +0,0 @@
-<!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>

Ministreliy/Components/App.razor

@@ -5,7 +5,8 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <base href="/" />
-    <link rel="stylesheet" href="bootstrap/bootstrap.min.css" />
+    <link rel="stylesheet" href="bootstrap/css/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" />
@@ -15,6 +16,7 @@
 <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

@@ -3,21 +3,12 @@
 @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">
@@ -50,7 +41,7 @@
 }
 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>
@@ -65,14 +56,7 @@ 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">
@@ -100,7 +84,9 @@ else
     </div>
 
 
-    
+    <button type="button" class="btn btn-primary" data-bs-toggle="modal" data-bs-target="#deltype">
+        Удалить тип
+    </button>
 
 
 
@@ -129,7 +115,9 @@ 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();

Ministreliy/Components/Pages/Weather.razor

@@ -0,0 +1,63 @@
+@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

@@ -1,601 +0,0 @@
-/*!
- * 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

@@ -1,598 +0,0 @@
-/*!
- * 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

@@ -1,5 +1,6 @@
 using Microsoft.AspNetCore.Http.HttpResults;
 using Microsoft.AspNetCore.Mvc;
+using Microsoft.EntityFrameworkCore;
 using Strela.Models;
 using Strela.Services;
 
@@ -15,7 +16,6 @@ public class DeviceController : ControllerBase
     {
         _logger = logger;
     }
-
     //=========================== GET =================================//
     [HttpGet("GetTypes")]
     [ProducesResponseType<List<DeviceType>>(StatusCodes.Status200OK)]
@@ -80,4 +80,5 @@ public class DeviceController : ControllerBase
             return Ok();
         }
     }
+
 }

Strela/Models/DeviceItem.cs

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

lsSoft.slnx

@@ -1,7 +1,4 @@
 <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" />