chore: initial project import

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justme committed 2026-10-04 21:46:39 +08:00
commit 3fc4e5ca53
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namespace Monitor.Protocol;
[Flags]
public enum Scope
{
Line = 1,
Target = 2,
}
public enum ColumnType
{
U8,
U16,
U32,
U64,
I32,
I64,
}
public enum ColumnEnc
{
Plain,
Delta,
}
/// <summary>时间列的时钟归属:Probe、Agent 各自的单调时钟(微秒),或所在一侧的本地时钟。</summary>
public enum ColumnRole
{
None,
TsProbe,
TsAgent,
TsLocal,
}
public sealed record ColumnSpec(string Name, ColumnType Type, ColumnEnc Enc = ColumnEnc.Plain, bool Nullable = false, ColumnRole Role = ColumnRole.None);
/// <summary>数据面上的一侧:Probe 永远是拨号方,Agent 永远是监听方。</summary>
public enum Side
{
Probe,
Agent,
}
/// <summary>
/// 一个记录流(一张表)。<see cref="Driver"/> 是行的主导方:行由它发出的包或事件决定,另一侧的列按 <see cref="Key"/>(例如 <c>seq</c>)补充,
/// 缺失就是缺失(回显缺 t2/t3 表示上行丢失,单向数据流缺 t_recv 表示丢失)。没有 <see cref="Key"/> 的流只有主导方一侧的列,原样透传。
/// 每一列属于哪一侧由它的时钟决定(<c>TsProbe</c> 属于 Probe,<c>TsAgent</c> 属于 Agent),其他列属于主导方。
/// <see cref="Union"/> 流是例外:两侧各自记录完整的行(行里有一列标明是哪一侧),合并时直接拼接,不连接。
/// 这一条声明同时决定了两端各记录什么、Agent 怎么合并,新增一种记录流不需要写合并代码。
/// </summary>
public sealed record StreamSpec(string Name, IReadOnlyList<ColumnSpec> Columns, Side Driver = Side.Probe, string? Key = null, bool Union = false)
{
public Side OwnerOf(ColumnSpec column) => column.Role switch
{
ColumnRole.TsProbe => Side.Probe,
ColumnRole.TsAgent => Side.Agent,
_ => Driver,
};
/// <summary>
/// 该侧记录的列(不含连接键:键两侧都有,由行的编号表示)。<see cref="Union"/> 流两侧各自记录完整的行(例如各自套接字的内核采样),
/// 所以每一侧拥有所有列。
/// </summary>
public IReadOnlyList<ColumnSpec> ColumnsOf(Side side) =>
[.. Columns.Where(c => c.Name != Key && (Union || OwnerOf(c) == side))];
}
/// <summary>积木组合(只描述,不含代码;节点按这个描述组装执行图)。</summary>
public sealed record BlockSet(string Transport, string Pacer, string Payload, string Behavior, IReadOnlyList<string> Samplers);
/// <summary>
/// 采集方法声明:积木组合 + 参数 + 记录的列 + 带宽预算。
/// 这一条声明同时被 Probe/Agent(组装执行)、Backend(校验与目录)、Analysis(按列名读数据)使用。
/// </summary>
public sealed record KindSpec(
string Id,
string Title,
string Description,
Scope Scopes,
BlockSet Blocks,
IReadOnlyList<ParamSpec> Params,
IReadOnlyList<StreamSpec> Streams,
Func<ParamValues, long> BudgetBitsPerSecond)
{
public StreamSpec? FindStream(string name)
{
foreach (StreamSpec stream in Streams)
{
if (stream.Name == name)
{
return stream;
}
}
return null;
}
}
public static class Col
{
public static ColumnSpec U8(string name, bool nullable = false) => new(name, ColumnType.U8, ColumnEnc.Plain, nullable);
public static ColumnSpec U16(string name, bool nullable = false) => new(name, ColumnType.U16, ColumnEnc.Plain, nullable);
public static ColumnSpec U32(string name, bool nullable = false) => new(name, ColumnType.U32, ColumnEnc.Plain, nullable);
public static ColumnSpec U64(string name, ColumnEnc enc = ColumnEnc.Plain) => new(name, ColumnType.U64, enc);
/// <summary>单调递增的序号:差分编码。</summary>
public static ColumnSpec Seq(string name) => new(name, ColumnType.U32, ColumnEnc.Delta);
public static ColumnSpec TsProbe(string name, bool nullable = false) => new(name, ColumnType.I64, ColumnEnc.Delta, nullable, ColumnRole.TsProbe);
public static ColumnSpec TsAgent(string name, bool nullable = false) => new(name, ColumnType.I64, ColumnEnc.Delta, nullable, ColumnRole.TsAgent);
public static ColumnSpec TsLocal(string name) => new(name, ColumnType.I64, ColumnEnc.Delta, false, ColumnRole.TsLocal);
}
/// <summary>带宽预算的估算函数(bit/s)。</summary>
public static class Bandwidth
{
private const int UdpOverheadBytes = 28;
private const int TcpOverheadBytes = 52;
public static long UdpEcho(long rateHz, long sizeBytes) => rateHz * ((sizeBytes + UdpOverheadBytes) * 8) * 2;
public static long TcpEcho(long rateHz, long sizeBytes) => rateHz * ((sizeBytes + TcpOverheadBytes) * 8) * 2;
}