152 lines
5.6 KiB
C#
152 lines
5.6 KiB
C#
namespace SHH.CameraSdk;
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/// <summary>
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/// 帧控制器（混合模式最终版）
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/// 策略：
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/// 1. 高速直通 (> 20 FPS)：直接放行，保留硬件原始流畅度与波动。
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/// 2. 低速精控 (<= 20 FPS)：使用积分算法进行精准降采样。
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/// </summary>
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public class FrameController
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{
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// 需求字典
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private readonly ConcurrentDictionary<string, FrameRequirement> _requirements = new();
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// 积分累加器（仅用于 <= 20 FPS 的精准控制）
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private readonly ConcurrentDictionary<string, int> _accumulators = new();
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private long _globalSequence = 0;
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// 逻辑基准分母：假设标准输入是 25 帧
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// 用于低帧率时的积分计算基准
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private const int LOGICAL_BASE_FPS = 25;
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// ---------------------------------------------------------
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// 注册与注销
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// ---------------------------------------------------------
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public void Register(string appId, int fps)
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{
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_requirements.AddOrUpdate(appId,
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_ => new FrameRequirement { AppId = appId, TargetFps = fps },
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(_, old) => { old.TargetFps = fps; return old; });
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// 重置该用户的积分器，确保新策略从零开始
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_accumulators.TryRemove(appId, out _);
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}
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// 修改 Register 方法，接收整个 Requirement 对象或多个参数
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public void Register(FrameRequirement req)
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{
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_requirements.AddOrUpdate(req.AppId,
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_ => req, // 如果不存在，直接添加整个对象
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(_, old) =>
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{
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// 如果已存在，更新关键业务字段，同时保留统计状态
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old.TargetFps = req.TargetFps;
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old.Memo = req.Memo;
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old.Handle = req.Handle;
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old.Type = req.Type;
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old.SavePath = req.SavePath;
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// 注意：不要覆盖 old.RealFps，保留之前的统计值
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return old;
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});
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// 如果是降频（<=20），确保积分器存在
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if (req.TargetFps <= 20)
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{
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_accumulators.GetOrAdd(req.AppId, 0);
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}
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}
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public void Unregister(string appId)
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{
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if (string.IsNullOrWhiteSpace(appId)) return;
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// 1. 从需求配置中移除
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_requirements.TryRemove(appId, out _);
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// 2. 从积分累加器中移除（防止内存泄漏）
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_accumulators.TryRemove(appId, out _);
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Console.WriteLine($"[Scheduler] 已从调度中心彻底移除 AppId: {appId}");
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}
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// ---------------------------------------------------------
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// 核心决策逻辑
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// ---------------------------------------------------------
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/// <summary>
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/// 混合决策：高速直通 + 低速精控
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/// </summary>
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/// <param name="currentTick">兼容参数（内部逻辑不强依赖）</param>
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/// <param name="ignoredRealFps">兼容参数（已忽略，防止震荡）</param>
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public FrameDecision MakeDecision(long currentTick, int ignoredRealFps = 0)
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{
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var decision = new FrameDecision
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{
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Sequence = Interlocked.Increment(ref _globalSequence),
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Timestamp = DateTime.Now
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};
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foreach (var req in _requirements.Values)
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{
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if (req.TargetFps <= 0) continue;
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//// =========================================================
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//// 【策略 A】 高速直通区 (> 20 FPS)
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//// =========================================================
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//// 用户想要 21~25+ 帧，或者全速。
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//// 此时不做任何干预，相机来多少发多少，保留原始的 24-26 波动。
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//if (req.TargetFps > 20)
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//{
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// decision.TargetAppIds.Add(req.AppId);
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// req.LastCaptureTick = currentTick; // 更新活跃状态
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// continue;
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//}
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// =========================================================
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// 【策略 B】 低速精控区 (<= 20 FPS) -> 积分算法
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// =========================================================
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// 解决 "16帧" 问题，保证 1帧、5帧、15帧 的绝对精准
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// 1. 获取积分
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int acc = _accumulators.GetOrAdd(req.AppId, 0);
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// 2. 累加：每来一帧，积攒 "TargetFps" 分
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acc += req.TargetFps;
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// 3. 判定：是否攒够了 25 分 (逻辑基准)
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if (acc >= LOGICAL_BASE_FPS)
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{
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// 发货
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decision.TargetAppIds.Add(req.AppId);
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// 扣除成本，保留余数 (余数是精度的关键)
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acc -= LOGICAL_BASE_FPS;
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// 【核心修复】在此处触发统计，RealFps 才会开始跳动
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req.UpdateRealFps();
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req.LastCaptureTick = currentTick;
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}
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// 4. 防爆桶机制：如果累积太多（例如相机推流极快），限制封顶
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// 防止下一秒瞬间吐出太多帧
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if (acc > LOGICAL_BASE_FPS) acc = LOGICAL_BASE_FPS;
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// 5. 写回状态
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_accumulators[req.AppId] = acc;
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}
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decision.IsCaptured = decision.TargetAppIds.Count > 0;
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return decision;
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}
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// ---------------------------------------------------------
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// 辅助状态查询
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// ---------------------------------------------------------
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public List<dynamic> GetCurrentRequirements()
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{
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return _requirements.Values.Select(r => new { r.AppId, r.TargetFps, r.RealFps, LastActive = r.LastCaptureTick, r.Memo, r.SavePath, r.Handle, r.TargetIp, r.TargetPort, r.Protocol, r.Type }).ToList<dynamic>();
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}
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} |