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 { /// /// 修复时间戳错位 /// public class UpdateTimestampOffsetRule : ISimpleProcessingRule { private static readonly ProcessingComment COMMENT_JumpedWithinGOP = new ProcessingComment(CommentType.Unrepairable, true, "GOP 内音频或视频时间戳不连续"); private static readonly ProcessingComment COMMENT_CantSolve = new ProcessingComment(CommentType.Unrepairable, true, "出现了无法计算偏移量的音视频偏移"); public void Run(FlvProcessingContext context, Action next) { context.PerActionRun(this.RunPerAction); next(); } /// /// 检查 Tag 时间戳是否有变小的情况 /// private readonly struct IsNextTimestampSmaller : ITwoInputFunction { public static IsNextTimestampSmaller Instance; public bool Eval(Tag a, Tag b) => a.Timestamp > b.Timestamp; } private IEnumerable RunPerAction(FlvProcessingContext context, PipelineAction action) { if (action is PipelineDataAction data) { var isNotNormal = data.Tags.Any2(ref IsNextTimestampSmaller.Instance); if (!isNotNormal) { // 没有问题,每个 tag 的时间戳都 >= 上一个 tag 的时间戳。 yield return data; yield break; } if (data.Tags.Where(x => x.Type == TagType.Audio).Any2(ref IsNextTimestampSmaller.Instance) || data.Tags.Where(x => x.Type == TagType.Video).Any2(ref IsNextTimestampSmaller.Instance)) { // 音频或视频自身就有问题,没救了 yield return PipelineDisconnectAction.Instance; context.AddComment(COMMENT_JumpedWithinGOP); yield break; } else { /* * 设定做调整的为视频帧,参照每个视频帧左右(左为前、右为后)的音频帧的时间戳 * 计算出最多和最少能符合“不小于前面的帧并且不大于后面的帧”的要求的偏移量 * 如果当前偏移量比总偏移量要求更严,则使用当前偏移量范围作为总偏移量范围 * */ var offset = 0; [MethodImpl(MethodImplOptions.AggressiveInlining)] static void ReduceOffsetRange(ref int maxOffset, ref int minOffset, Tag? leftAudio, Tag? rightAudio, Stack tags) { while (tags.Count > 0) { var video = tags.Pop(); if (leftAudio is not null) { var min = leftAudio.Timestamp - video.Timestamp; if (minOffset < min) minOffset = min; } if (rightAudio is not null) { var max = rightAudio.Timestamp - video.Timestamp; if (maxOffset > max) maxOffset = max; } } } Tag? lastAudio = null; var tags = new Stack(); var maxOffset = int.MaxValue; var minOffset = int.MinValue; for (var i = 0; i < data.Tags.Count; i++) { var tag = data.Tags[i]; if (tag.Type == TagType.Audio) { ReduceOffsetRange(ref maxOffset, ref minOffset, lastAudio, tag, tags); lastAudio = tag; } else if (tag.Type == TagType.Video) { tags.Push(tag); } else throw new ArgumentException("unexpected tag type"); } ReduceOffsetRange(ref maxOffset, ref minOffset, lastAudio, null, tags); if (minOffset == maxOffset) { // 理想情况允许偏移范围只有一个值 offset = minOffset; goto validOffset; } else if (minOffset < maxOffset) { // 允许偏移的值是一个范围 if (minOffset != int.MinValue) { if (maxOffset != int.MaxValue) { // 有一个有效范围,取平均值 offset = (int)(((long)minOffset + maxOffset) / 2L); goto validOffset; } else { // 无效最大偏移,以最小偏移为准 offset = minOffset + 1; goto validOffset; } } else { if (maxOffset != int.MaxValue) { // 无效最小偏移,以最大偏移为准 offset = maxOffset - 1; goto validOffset; } else { // 无效结果 goto invalidOffset; } } } else { // 范围无效 goto invalidOffset; } validOffset: if (offset != 0) { context.AddComment(new ProcessingComment(CommentType.TimestampOffset, true, $"音视频时间戳偏移, D: {offset}")); foreach (var tag in data.Tags) if (tag.Type == TagType.Video) tag.Timestamp += offset; } yield return data; yield break; invalidOffset: context.AddComment(COMMENT_CantSolve); yield return PipelineDisconnectAction.Instance; yield break; } } else yield return action; } } }