using System; using System.Collections.Generic; using System.Linq; using System.Runtime.CompilerServices; using BililiveRecorder.Flv.Pipeline.Actions; using StructLinq; namespace BililiveRecorder.Flv.Pipeline.Rules { /// /// 修复时间戳跳变 /// public class UpdateTimestampJumpRule : ISimpleProcessingRule { private const string TS_STORE_KEY = "Timestamp_Store_Key"; private const int JUMP_THRESHOLD = 50; private const int AUDIO_DURATION_FALLBACK = 22; private const int AUDIO_DURATION_MIN = 20; private const int AUDIO_DURATION_MAX = 24; private const int VIDEO_DURATION_FALLBACK = 33; private const int VIDEO_DURATION_MIN = 15; private const int VIDEO_DURATION_MAX = 50; public void Run(FlvProcessingContext context, Action next) { next(); // 之前直播流的时间戳信息保存在 SessionItems 里 var ts = context.SessionItems.ContainsKey(TS_STORE_KEY) ? context.SessionItems[TS_STORE_KEY] as TimestampStore ?? new TimestampStore() : new TimestampStore(); context.SessionItems[TS_STORE_KEY] = ts; // 按顺序处理每个 Action foreach (var action in context.Actions) { if (action is PipelineDataAction dataAction) // 如果是直播数据,计算并调整时间戳 { // SetDataTimestamp var tags = dataAction.Tags; var currentTimestamp = tags[0].Timestamp; var diff = currentTimestamp - ts.LastOriginal; if (diff < 0) { context.AddComment(new ProcessingComment(CommentType.TimestampJump, $"时间戳变小, curr: {currentTimestamp}, diff: {diff}")); ts.CurrentOffset = currentTimestamp - ts.NextTimestampTarget; } else if (diff > JUMP_THRESHOLD) { context.AddComment(new ProcessingComment(CommentType.TimestampJump, $"时间戳间隔过大, curr: {currentTimestamp}, diff: {diff}")); ts.CurrentOffset = currentTimestamp - ts.NextTimestampTarget; } ts.LastOriginal = tags[tags.Count - 1].Timestamp; foreach (var tag in tags) tag.Timestamp -= ts.CurrentOffset; ts.NextTimestampTarget = this.CalculateNewTarget(tags); } else if (action is PipelineEndAction endAction) // End Tag 其实怎么处理都无所谓 { var tag = endAction.Tag; var diff = tag.Timestamp - ts.LastOriginal; if (diff < 0 || diff > JUMP_THRESHOLD) { tag.Timestamp = ts.NextTimestampTarget; } else { tag.Timestamp -= ts.CurrentOffset; } } else if (action is PipelineNewFileAction) // 如果新建文件分段了,重设时间戳信息重新从 0 开始 { ts.Reset(); } else if (action is PipelineScriptAction s) // Script Tag 时间戳永远为 0 { s.Tag.Timestamp = 0; ts.Reset(); } else if (action is PipelineHeaderAction h) // Header Tag 时间戳永远为 0 { if (h.VideoHeader != null) h.VideoHeader.Timestamp = 0; if (h.AudioHeader != null) h.AudioHeader.Timestamp = 0; ts.Reset(); } } } // 计算理想情况下这段数据后面下一个 Tag 的时间戳应该是多少 [MethodImpl(MethodImplOptions.AggressiveInlining)] private int CalculateNewTarget(IReadOnlyList tags) { // 有可能出现只有音频或只有视频的情况 int video = 0, audio = 0; if (tags.ToStructEnumerable().Any(ref LinqFunctions.TagIsVideo, x => x)) video = CalculatePerChannel(tags, VIDEO_DURATION_FALLBACK, VIDEO_DURATION_MAX, VIDEO_DURATION_MIN, TagType.Video); if (tags.ToStructEnumerable().Any(ref LinqFunctions.TagIsAudio, x => x)) audio = CalculatePerChannel(tags, AUDIO_DURATION_FALLBACK, AUDIO_DURATION_MAX, AUDIO_DURATION_MIN, TagType.Audio); return Math.Max(video, audio); [MethodImpl(MethodImplOptions.AggressiveInlining)] static int CalculatePerChannel(IReadOnlyList tags, int fallback, int max, int min, TagType type) { var sample = tags.ToStructEnumerable().Where(x => x.Type == type).Take(2).ToArray(); int durationPerTag; if (sample.Length != 2) { durationPerTag = fallback; } else { durationPerTag = sample[1].Timestamp - sample[0].Timestamp; if (durationPerTag < min || durationPerTag > max) durationPerTag = fallback; } return durationPerTag + tags.ToStructEnumerable().Last(x => x.Type == type).Timestamp; } } private class TimestampStore { /// /// 下一个 Tag 的目标时间戳 /// public int NextTimestampTarget; /// /// 上一个 Tag 的原始时间戳 /// public int LastOriginal; /// /// 当前时间戳偏移量 /// public int CurrentOffset; public void Reset() { this.NextTimestampTarget = 0; this.LastOriginal = 0; this.CurrentOffset = 0; } } } }