using System.Net.NetworkInformation;
namespace SHH.CameraSdk;
///
/// [状态代理] 网络连通性哨兵
/// 特性:
/// 1. 低耦合:不依赖具体驱动,只依赖接口
/// 2. 高性能:使用 Parallel.ForEachAsync 实现受控并行
/// 3. 智能策略:播放中不Ping,空闲时才Ping
///
public class ConnectivitySentinel
{
private readonly CameraManager _manager; // [cite: 329]
private readonly PeriodicTimer _timer;
private readonly CancellationTokenSource _cts = new();
// [关键配置] 最大并发度
// 建议值:CPU 核心数 * 4,或者固定 16-32
// 50 个摄像头,设为 16,意味着分 4 批完成,总耗时极短
private const int MAX_PARALLELISM = 16;
public ConnectivitySentinel(CameraManager manager)
{
_manager = manager;
// 每 3 秒执行一轮全量巡检
_timer = new PeriodicTimer(TimeSpan.FromSeconds(3));
// 启动后台任务(不阻塞主线程)
_ = RunLoopAsync();
}
private async Task RunLoopAsync()
{
try
{
// 等待下一个 3秒 周期
while (await _timer.WaitForNextTickAsync(_cts.Token))
{
// 1. 获取当前所有设备的快照
// CameraManager.GetAllDevices() 返回的是 BaseVideoSource,它实现了 IDeviceConnectivity
var devices = _manager.GetAllDevices().Cast();
// 2. [核心回答] 受控并行执行
// .NET 6+ 提供的超级 API,专门解决“一下子 50 个”的问题
await Parallel.ForEachAsync(devices, new ParallelOptions
{
MaxDegreeOfParallelism = MAX_PARALLELISM,
CancellationToken = _cts.Token
},
async (device, token) =>
{
// 对每个设备执行独立检查
await CheckSingleDeviceAsync(device);
});
}
}
catch (OperationCanceledException) { /* 正常停止 */ }
}
private async Task CheckSingleDeviceAsync(IDeviceConnectivity device)
{
bool isAlive = false;
// [智能策略]:如果设备正在取流,直接检查帧心跳(省流模式)
if (device.Status == VideoSourceStatus.Playing || device.Status == VideoSourceStatus.Streaming)
{
long now = Environment.TickCount64;
// 5秒内有帧,就算在线
isAlive = (now - device.LastFrameTick) < 5000;
}
else
{
// [主动探测]:空闲或离线时,发射 ICMP Ping
isAlive = await PingAsync(device.IpAddress);
}
// [状态注入]:将探测结果“注入”回设备
device.SetNetworkStatus(isAlive);
}
// 纯粹的 Ping 逻辑
private async Task PingAsync(string ip)
{
try
{
using var ping = new Ping();
// 超时设为 800ms,快速失败,避免拖慢整体批次
var reply = await ping.SendPingAsync(ip, 800);
return reply.Status == IPStatus.Success;
}
catch
{
return false;
}
}
public void Stop()
{
_cts.Cancel();
_timer.Dispose();
}
}