Files
Just-DataInspector/Utilities/Src/DataModel.cpp
T
DeepSeek V4.1 Flash f5028b1e18 实验性功能新增「均值滤波」+ 构建为新信号
- 「实验性功能」二级菜单新增带勾选的「均值滤波」:开启后为本网格每条信号叠加绘制
  一条 N 点滑动平均曲线,算法与「边沿计数(中心轴)」的中心平均值曲线**完全一致**
  (同一实现 ComputeMovingAverage),配色同样由信号色派生为高对比度颜色、透明度一致。
- 新增均值滤波浮动面板:标题栏可拖拽、✕ 关闭,面板内列出被处理的信号名、
  「均值点数 N」内联编辑行,以及底部的「构建为新信号」按钮(悬停高亮 + 手型光标)。
- 「构建为新信号」:把滤波后的曲线作为新信号插入,命名为「<原信号名称> (N点均值)」,
  归属到原信号所属组的原信号位置**下方**,成为独立的新信号;其所在网格也移动到
  原信号网格的下方。合并网格时一次按钮为该网格内每条可见信号各构建一条。
  为此新增 DataSet::InsertDerivedSignal / TabConfig::RemapAfterSignalInsert /
  TabConfig::MoveLaneOfSignalBelow / TabConfig::RenameLanes(插入位置之后的信号引用
  与可见性列同步重映射)。
- 光标交互与「边沿计数(中心轴)」同构:光标处标注均值滤波曲线的取值
  与双光标增量,文案为「值(均值滤波)」/「值(+增量 均值滤波)」;
  两条派生曲线的取值胶囊已抽成同一段绘制逻辑。
- 浮动面板种类由 bool centerAxis 改为 EdgePanelKind{COUNT,CENTER,MEAN},
  布局/宽度/命中测试/绘制统一走同一套几何。
- 以 VERY_BIG_DATA.CSV 验证:曲线预览、N 编辑、双光标取值标注、
  单信号与合并网格两种情况下的新信号命名与插入位置均正确。
2026-10-09 21:00:38 +08:00

1594 lines
45 KiB
C++
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
#include "DataModel.hpp"
#include <algorithm>
#include <cmath>
#include <cwctype>
#include <limits>
#include "Theme.hpp"
#include "Utf8Util.hpp"
namespace jdi
{
namespace
{
const double kMissing = std::numeric_limits<double>::quiet_NaN(); /**< 缺失值占位。 */
const double kDefaultLineWidth = 1.6; /**< 默认线宽。 */
/**
* @brief 判断列名是否为时间轴候选列。
* @param [IN] header 原始列名。
* @return 可能为时间轴返回 true。
*/
bool LooksLikeTimeHeader(const std::wstring& header)
{
const std::wstring text = ToLowerAscii(Trim(header));
if (text.empty())
{
return false;
}
if (text == L"t" || text == L"time" || text == L"timestamp" || text == L"simulation time" ||
text == L"时间" || text == L"时间轴")
{
return true;
}
return ContainsInsensitive(text, L"time") || ContainsInsensitive(text, L"时间");
}
/**
* @brief 从名称末尾的括号中提取单位(仅接受形如 mA / V / deg/s 的短标记)。
* @param [IN] text 列名(已去除首尾空白)。
* @return 单位文本,无法识别时返回空字符串。
*/
std::wstring ExtractUnit(const std::wstring& text)
{
if (text.size() < 3 || text.back() != L')')
{
return std::wstring();
}
const std::size_t open = text.rfind(L'(');
if (open == std::wstring::npos || open + 2 >= text.size())
{
return std::wstring();
}
const std::wstring inner = Trim(text.substr(open + 1, text.size() - open - 2));
if (inner.empty() || inner.size() > 10)
{
return std::wstring();
}
for (const wchar_t c : inner)
{
const bool allowed = iswalpha(c) || iswdigit(c) || c == L'%' || c == L'/' || c == L'^' ||
c == L'-' || c == L'.' || c == L'\u00B0' || c == L'\u00B5' ||
c == L'\u03A9' || c == L'\u00B2' || c == L'\u00B3' || c == L'\u00B7';
if (!allowed)
{
return std::wstring();
}
}
return inner;
}
/**
* @brief 为网格范围补充留白,避免波形紧贴边界。
* @param [IN, OUT] yMin 范围下限。
* @param [IN, OUT] yMax 范围上限。
*/
void PadRange(double& yMin, double& yMax)
{
if (!std::isfinite(yMin) || !std::isfinite(yMax))
{
yMin = 0.0;
yMax = 1.0;
return;
}
const double span = yMax - yMin;
if (span <= 0.0)
{
const double magnitude = std::max(1.0, std::fabs(yMin) * 0.1);
yMin -= magnitude;
yMax += magnitude;
return;
}
const double pad = span * 0.06;
yMin -= pad;
yMax += pad;
}
/**
* @brief 依据全部可见信号重新生成网格划分。
* @param [IN] visible 各信号的可见性(按 [文件][信号] 索引)。
* @param [IN] lanes 网格集合(原地更新)。
* @param [IN] mode 网格划分策略。
*/
void RebuildLanes(const std::vector<std::vector<bool>>& visible, std::vector<Lane>& lanes,
LaneMode mode)
{
// 随网格携带的“网格自身状态”(按信号继承):重建网格时不能丢。
struct LaneCarry
{
bool fitYToSelection = false;
bool edgeCount = false;
double edgeValue = 0.0;
bool edgeValueValid = false;
bool edgePanelOpen = true;
double edgePanelX = -1.0;
double edgePanelY = -1.0;
bool edgeCenter = false;
int edgeCenterSmooth = 5;
bool edgeCenterPanelOpen = true;
double edgeCenterPanelX = -1.0;
double edgeCenterPanelY = -1.0;
bool meanFilter = false;
int meanFilterRadius = 5;
bool meanFilterPanelOpen = true;
double meanFilterPanelX = -1.0;
double meanFilterPanelY = -1.0;
};
// 先记下每个信号原来所在网格的网格自身状态:
// 勾选可见性会重建网格,若不携带,用户刚打开的开关会被悄悄清掉。
std::vector<std::pair<SignalRef, LaneCarry>> previousCarry;
for (const Lane& lane : lanes)
{
LaneCarry carry;
carry.fitYToSelection = lane.fitYToSelection;
carry.edgeCount = lane.edgeCount;
carry.edgeValue = lane.edgeValue;
carry.edgeValueValid = lane.edgeValueValid;
carry.edgePanelOpen = lane.edgePanelOpen;
carry.edgePanelX = lane.edgePanelX;
carry.edgePanelY = lane.edgePanelY;
carry.edgeCenter = lane.edgeCenter;
carry.edgeCenterSmooth = lane.edgeCenterSmooth;
carry.edgeCenterPanelOpen = lane.edgeCenterPanelOpen;
carry.edgeCenterPanelX = lane.edgeCenterPanelX;
carry.edgeCenterPanelY = lane.edgeCenterPanelY;
carry.meanFilter = lane.meanFilter;
carry.meanFilterRadius = lane.meanFilterRadius;
carry.meanFilterPanelOpen = lane.meanFilterPanelOpen;
carry.meanFilterPanelX = lane.meanFilterPanelX;
carry.meanFilterPanelY = lane.meanFilterPanelY;
for (const SignalRef& ref : lane.signals)
{
previousCarry.emplace_back(ref, carry);
}
}
const auto inheritedCarry = [&previousCarry](const SignalRef& ref)
{
for (const std::pair<SignalRef, LaneCarry>& entry : previousCarry)
{
if (entry.first == ref)
{
return entry.second;
}
}
return LaneCarry();
};
const auto applyCarry = [&inheritedCarry](Lane& lane, const SignalRef& ref)
{
const LaneCarry carry = inheritedCarry(ref);
lane.fitYToSelection = carry.fitYToSelection;
lane.edgeCount = carry.edgeCount;
lane.edgeValue = carry.edgeValue;
lane.edgeValueValid = carry.edgeValueValid;
lane.edgePanelOpen = carry.edgePanelOpen;
lane.edgePanelX = carry.edgePanelX;
lane.edgePanelY = carry.edgePanelY;
lane.edgeCenter = carry.edgeCenter;
lane.edgeCenterSmooth = carry.edgeCenterSmooth;
lane.edgeCenterPanelOpen = carry.edgeCenterPanelOpen;
lane.edgeCenterPanelX = carry.edgeCenterPanelX;
lane.edgeCenterPanelY = carry.edgeCenterPanelY;
lane.meanFilter = carry.meanFilter;
lane.meanFilterRadius = carry.meanFilterRadius;
lane.meanFilterPanelOpen = carry.meanFilterPanelOpen;
lane.meanFilterPanelX = carry.meanFilterPanelX;
lane.meanFilterPanelY = carry.meanFilterPanelY;
};
// 收集全部可见信号引用。
std::vector<SignalRef> visibleRefs;
for (std::size_t fileIndex = 0; fileIndex < visible.size(); ++fileIndex)
{
for (std::size_t signalIndex = 0; signalIndex < visible[fileIndex].size(); ++signalIndex)
{
if (visible[fileIndex][signalIndex])
{
SignalRef ref;
ref.fileIndex = static_cast<int>(fileIndex);
ref.signalIndex = static_cast<int>(signalIndex);
visibleRefs.push_back(ref);
}
}
}
// 判断某引用对应的信号是否可见(越界视为不可见)。
const auto isVisibleRef = [&visible](const SignalRef& ref)
{
if (ref.fileIndex < 0 || static_cast<std::size_t>(ref.fileIndex) >= visible.size())
{
return false;
}
const std::vector<bool>& fileVisible = visible[static_cast<std::size_t>(ref.fileIndex)];
if (ref.signalIndex < 0 || static_cast<std::size_t>(ref.signalIndex) >= fileVisible.size())
{
return false;
}
return fileVisible[static_cast<std::size_t>(ref.signalIndex)];
};
// 某信号当前所属的网格下标(-1 表示尚未分配网格)。
const auto laneIndexOf = [&lanes](const SignalRef& ref)
{
for (std::size_t index = 0; index < lanes.size(); ++index)
{
const std::vector<SignalRef>& refs = lanes[index].signals;
if (std::find(refs.begin(), refs.end(), ref) != refs.end())
{
return static_cast<int>(index);
}
}
return -1;
};
if (mode == LaneMode::PER_SIGNAL)
{
// 每条可见信号独占一个网格:网格数量严格跟随可见信号数量。
// **顺序按"原有网格位置"优先**:已经分配过网格的信号保持其相对次序,
// 新勾选(此前没有网格)的信号统一追加到最下方。
// 若直接按 visibleRefs(文件/列序)重建,新勾选的信号会按其列序
// 插到中间,位置看起来"不确定"。
std::vector<SignalRef> ordered;
ordered.reserve(visibleRefs.size());
for (const SignalRef& ref : visibleRefs)
{
if (laneIndexOf(ref) >= 0)
{
ordered.push_back(ref);
}
}
std::stable_sort(ordered.begin(), ordered.end(),
[&laneIndexOf](const SignalRef& a, const SignalRef& b)
{ return laneIndexOf(a) < laneIndexOf(b); });
for (const SignalRef& ref : visibleRefs)
{
if (laneIndexOf(ref) < 0)
{
ordered.push_back(ref);
}
}
lanes.clear();
lanes.reserve(ordered.size());
for (const SignalRef& ref : ordered)
{
Lane lane;
lane.autoRange = true;
applyCarry(lane, ref);
lane.signals.push_back(ref);
lanes.push_back(std::move(lane));
}
}
else if (mode == LaneMode::MERGED)
{
// 全部可见信号合并到同一网格;无可见信号时不保留空网格。
bool previousAutoRange = true;
double previousYMin = -1.0;
double previousYMax = 1.0;
if (lanes.size() == 1)
{
previousAutoRange = lanes[0].autoRange;
previousYMin = lanes[0].yMin;
previousYMax = lanes[0].yMax;
}
lanes.clear();
if (!visibleRefs.empty())
{
Lane lane;
lane.autoRange = previousAutoRange;
lane.yMin = previousYMin;
lane.yMax = previousYMax;
applyCarry(lane, visibleRefs.front());
lane.signals = visibleRefs;
lanes.push_back(std::move(lane));
}
}
else
{
// 自定义划分:仅移除不可见信号与由此产生的空网格,保持用户排布。
for (Lane& lane : lanes)
{
std::vector<SignalRef>& refs = lane.signals;
refs.erase(std::remove_if(refs.begin(), refs.end(),
[&isVisibleRef](const SignalRef& ref)
{ return !isVisibleRef(ref); }),
refs.end());
}
lanes.erase(std::remove_if(lanes.begin(), lanes.end(),
[](const Lane& lane) { return lane.signals.empty(); }),
lanes.end());
// 未分配网格的可见信号各自独占一个新网格。
// 注意:不能把它们塞进已有的第一个网格——那会导致“拖拽合并后新勾选的信号
// 被悄悄并入合并网格”,用户看不到新增的独立泳道。
for (const SignalRef& ref : visibleRefs)
{
bool placed = false;
for (const Lane& lane : lanes)
{
if (std::find(lane.signals.begin(), lane.signals.end(), ref) != lane.signals.end())
{
placed = true;
break;
}
}
if (placed)
{
continue;
}
Lane lane;
lane.autoRange = true;
applyCarry(lane, ref);
lane.signals.push_back(ref);
lanes.push_back(std::move(lane));
}
}
// 统一重命名,保证编号连续。
for (std::size_t index = 0; index < lanes.size(); ++index)
{
lanes[index].name = L"网格 " + std::to_wstring(index + 1);
}
}
}
const wchar_t* DrawModeName(DrawMode mode)
{
switch (mode)
{
case DrawMode::LINE:
return L"线段";
case DrawMode::SCATTER:
return L"散点";
case DrawMode::LINE_SCATTER:
return L"点线";
default:
return L"线段";
}
}
// ============================ DataFile 构建 ============================
/**
* @brief 粗粒度包络层每个分组覆盖的采样数。
*
* 16KB 的双精度分组可覆盖 1024 个采样(内存开销 = 采样数的 1.6%),
* 但会让"每列采样数略多于分组跨度"的场景退化为逐点扫描。
* 取 256 时:额外内存约为采样数的 0.8%,最坏情况的扫描量也能压低到
* 每列 ≤256 个采样(2400 列 ≈ 0.6M 次读取,约 1ms)。
*/
const std::size_t kCoarseStride = 256;
/**
* @brief 单条信号的取值范围统计结果。
*/
struct SignalStats
{
double minValue = 0.0; /**< 有限采样值最小值。 */
double maxValue = 0.0; /**< 有限采样值最大值。 */
std::size_t finiteCount = 0; /**< 有限采样点数量。 */
};
/**
* @brief 统计一列采样的最小/最大值与有效点数量,并顺带构建粗粒度包络层。
*
* 两者在同一个循环内完成,避免为粗粒度层多扫一遍数据(大文件下那是一整趟内存遍历)。
*
* @param [IN] values 采样列。
* @param [OUT] coarseMin 粗粒度分组最小值输出。
* @param [OUT] coarseMax 粗粒度分组最大值输出。
* @return 统计结果。
*/
SignalStats ComputeStats(const std::vector<double>& values, std::vector<double>& coarseMin,
std::vector<double>& coarseMax)
{
SignalStats stats;
double low = std::numeric_limits<double>::infinity();
double high = -std::numeric_limits<double>::infinity();
const std::size_t count = values.size();
const std::size_t buckets = (count + kCoarseStride - 1) / kCoarseStride;
coarseMin.assign(buckets, std::numeric_limits<double>::infinity());
coarseMax.assign(buckets, -std::numeric_limits<double>::infinity());
std::size_t bucket = 0;
std::size_t bucketEnd = kCoarseStride;
for (std::size_t index = 0; index < count; ++index)
{
if (index >= bucketEnd)
{
++bucket;
bucketEnd += kCoarseStride;
}
const double value = values[index];
if (std::isfinite(value))
{
++stats.finiteCount;
low = std::min(low, value);
high = std::max(high, value);
if (value < coarseMin[bucket])
{
coarseMin[bucket] = value;
}
if (value > coarseMax[bucket])
{
coarseMax[bucket] = value;
}
}
}
if (stats.finiteCount == 0)
{
stats.minValue = 0.0;
stats.maxValue = 0.0;
}
else
{
stats.minValue = low;
stats.maxValue = high;
}
return stats;
}
bool BuildDataFile(CsvTable&& table, const std::wstring& filePath, std::size_t paletteBase, DataFile& file,
std::wstring& error, const CsvProgress& progress)
{
error.clear();
file = DataFile();
if (!table.HasData())
{
error = L"数据表为空。";
return false;
}
const std::size_t columnCount = table.headers.size();
const std::size_t rowCount = table.rowCount;
if (table.columns.size() < columnCount)
{
error = L"数据表列结构不完整。";
return false;
}
// 1. 识别时间轴列:优先取列名匹配的列,否则回退到第一列。
int timeColumn = -1;
for (std::size_t column = 0; column < columnCount; ++column)
{
if (LooksLikeTimeHeader(table.headers[column]))
{
timeColumn = static_cast<int>(column);
break;
}
}
if (timeColumn < 0)
{
timeColumn = 0;
}
// 时间列整列移动,不做逐元素拷贝。
file.time = std::move(table.columns[static_cast<std::size_t>(timeColumn)]);
std::size_t finiteTimeCount = 0;
bool monotonic = true;
double previousTime = 0.0;
bool hasPrevious = false;
for (const double value : file.time)
{
if (std::isfinite(value))
{
++finiteTimeCount;
if (hasPrevious && value < previousTime)
{
monotonic = false;
}
previousTime = value;
hasPrevious = true;
}
}
if (finiteTimeCount < 2)
{
error = L"时间轴列(" + table.headers[static_cast<std::size_t>(timeColumn)] + L")有效数值不足。";
return false;
}
file.timeColumnName = table.headers[static_cast<std::size_t>(timeColumn)];
file.timeMonotonic = monotonic;
file.filePath = filePath;
const std::size_t slashPos = filePath.find_last_of(L"\\/");
file.fileName = (slashPos == std::wstring::npos) ? filePath : filePath.substr(slashPos + 1);
// 2. 构建信号列:每列整块移动,随后就地统计取值范围。
int paletteCount = 0;
const std::uint32_t* palette = SignalPalette(paletteCount);
file.signals.reserve(columnCount);
for (std::size_t column = 0; column < columnCount; ++column)
{
if (static_cast<int>(column) == timeColumn)
{
continue;
}
SignalData signal;
signal.rawHeader = table.headers[column];
{
// 名称完整保留文件内的列名(含 "[n]" 序号与括号描述),仅用于展示不做改写。
signal.name = Trim(signal.rawHeader);
signal.unit = ExtractUnit(signal.name);
}
signal.values = std::move(table.columns[column]);
const SignalStats stats = ComputeStats(signal.values, signal.coarseMin, signal.coarseMax);
signal.coarseStride = kCoarseStride;
signal.minValue = stats.minValue;
signal.maxValue = stats.maxValue;
signal.finiteCount = stats.finiteCount;
// 显示外观随信号一起初始化:调色板按「全局信号序号」取色,
// 使同一信号在任意标签页中都保持同一默认颜色。
{
const std::size_t globalIndex = paletteBase + file.signals.size();
if (palette != nullptr && paletteCount > 0)
{
const std::size_t count = static_cast<std::size_t>(paletteCount);
const std::size_t slot = globalIndex % count;
signal.style.color = palette[slot];
// 自定义色初值取调色板中「向后递进」的下一个颜色。
// 若初值等于本信号自身的预设色,样式区里点击该预设色块会被判定成
// “当前用的是自定义色”,高亮会直接跳到自定义色块上(此前的缺陷)。
signal.style.customColor = palette[(slot + 1) % count];
}
else
{
signal.style.color = 0xFF268BD2u;
signal.style.customColor = 0xFF859900u;
}
signal.style.opacity = 1.0f;
signal.style.lineWidth = 1.0f;
signal.style.mode = DrawMode::LINE;
}
file.signals.push_back(std::move(signal));
if (progress && !progress(0.75 + 0.25 * static_cast<double>(column + 1) /
static_cast<double>(columnCount)))
{
error = L"已取消加载。";
return false;
}
}
if (file.signals.empty())
{
error = L"除时间轴外未发现任何数据列。";
return false;
}
// 3. 统计时间范围(时间列为空或全部无效时回退到行数上界)。
double tMin = std::numeric_limits<double>::infinity();
double tMax = -std::numeric_limits<double>::infinity();
for (const double value : file.time)
{
if (std::isfinite(value))
{
tMin = std::min(tMin, value);
tMax = std::max(tMax, value);
}
}
file.minTime = tMin;
file.maxTime = tMax;
(void)rowCount;
return true;
}
// ============================ DataSet ============================
void DataSet::Clear()
{
m_files.clear();
}
bool DataSet::AddPreparedFile(DataFile&& file, int& fileIndex)
{
fileIndex = -1;
if (file.signals.empty())
{
return false;
}
m_files.push_back(std::move(file));
fileIndex = static_cast<int>(m_files.size()) - 1;
return true;
}
bool DataSet::AddFromTable(const CsvTable& table, const std::wstring& filePath, std::wstring& error,
int& fileIndex)
{
fileIndex = -1;
// 兼容入口:复制一份表格后走与后台加载完全一致的构建流程。
CsvTable local = table;
DataFile file;
if (!BuildDataFile(std::move(local), filePath, SignalCount(), file, error))
{
return false;
}
return AddPreparedFile(std::move(file), fileIndex);
}
bool DataSet::InsertDerivedSignal(int fileIndex, int afterSignalIndex, SignalData&& signal,
int& newSignalIndex)
{
newSignalIndex = -1;
if (fileIndex < 0 || fileIndex >= static_cast<int>(m_files.size()))
{
return false;
}
DataFile& file = m_files[static_cast<std::size_t>(fileIndex)];
if (afterSignalIndex < -1 || afterSignalIndex >= static_cast<int>(file.signals.size()))
{
return false;
}
// 1. 采样值统计与粗粒度包络层:与正常加载路径使用同一套统计逻辑,
// 否则派生信号在大文件下会退化成逐点扫描(包络构建变慢)。
const SignalStats stats = ComputeStats(signal.values, signal.coarseMin, signal.coarseMax);
signal.coarseStride = kCoarseStride;
signal.minValue = stats.minValue;
signal.maxValue = stats.maxValue;
signal.finiteCount = stats.finiteCount;
// 2. 显示外观按「全局信号序号」取调色板颜色(与普通新信号完全一致的规则)。
const int insertPos = afterSignalIndex + 1;
{
// 新信号的全局序号 = 本文件之前的信号总数 + 它在文件内的下标。
std::size_t globalIndex = static_cast<std::size_t>(insertPos);
for (int index = 0; index < fileIndex; ++index)
{
globalIndex += m_files[static_cast<std::size_t>(index)].signals.size();
}
int paletteCount = 0;
const std::uint32_t* palette = SignalPalette(paletteCount);
if (palette != nullptr && paletteCount > 0)
{
const std::size_t count = static_cast<std::size_t>(paletteCount);
const std::size_t slot = globalIndex % count;
signal.style.color = palette[slot];
signal.style.customColor = palette[(slot + 1) % count];
}
}
file.signals.insert(file.signals.begin() + insertPos, std::move(signal));
// 3. 全局选中引用:同一文件内位于插入点之后的信号下标整体后移。
if (m_selected.fileIndex == fileIndex && m_selected.signalIndex >= insertPos)
{
++m_selected.signalIndex;
}
newSignalIndex = insertPos;
return true;
}
bool DataSet::RemoveFile(int fileIndex)
{
if (fileIndex < 0 || fileIndex >= static_cast<int>(m_files.size()))
{
return false;
}
// 用移动到末位后弹出的方式移除,使被移除文件的时间轴与全部信号缓冲区在本调用内
// 立即析构归还操作系统,不再等待后续插入覆盖;最后收缩容量,避免残留空闲块。
const std::size_t position = static_cast<std::size_t>(fileIndex);
for (std::size_t index = position; index + 1 < m_files.size(); ++index)
{
m_files[index] = std::move(m_files[index + 1]);
}
m_files.pop_back();
m_files.shrink_to_fit();
return true;
}
std::size_t DataSet::SignalCount() const
{
std::size_t count = 0;
for (const DataFile& file : m_files)
{
count += file.signals.size();
}
return count;
}
const DataFile* DataSet::FileAt(int fileIndex) const
{
if (fileIndex < 0 || fileIndex >= static_cast<int>(m_files.size()))
{
return nullptr;
}
return &m_files[static_cast<std::size_t>(fileIndex)];
}
bool DataSet::SetSignalDisplayName(int fileIndex, int signalIndex, const std::wstring& name)
{
if (fileIndex < 0 || fileIndex >= static_cast<int>(m_files.size()))
{
return false;
}
DataFile& file = m_files[static_cast<std::size_t>(fileIndex)];
if (signalIndex < 0 || signalIndex >= static_cast<int>(file.signals.size()))
{
return false;
}
// 统一去除首尾空白;结果为空则视为恢复原始列名。
std::wstring trimmed = Trim(name);
SignalData& signal = file.signals[static_cast<std::size_t>(signalIndex)];
if (trimmed == signal.displayName)
{
return false;
}
signal.displayName = std::move(trimmed);
return true;
}
bool DataSet::SetFileDisplayName(int fileIndex, const std::wstring& name)
{
if (fileIndex < 0 || fileIndex >= static_cast<int>(m_files.size()))
{
return false;
}
std::wstring trimmed = Trim(name);
DataFile& file = m_files[static_cast<std::size_t>(fileIndex)];
if (trimmed == file.displayName)
{
return false;
}
file.displayName = std::move(trimmed);
return true;
}
const SignalData* DataSet::Resolve(const SignalRef& ref) const
{
const DataFile* file = FileAt(ref.fileIndex);
if (file == nullptr)
{
return nullptr;
}
if (ref.signalIndex < 0 || ref.signalIndex >= static_cast<int>(file->signals.size()))
{
return nullptr;
}
return &file->signals[static_cast<std::size_t>(ref.signalIndex)];
}
const SignalStyle* DataSet::Style(const SignalRef& ref) const
{
const SignalData* signal = Resolve(ref);
return (signal != nullptr) ? &signal->style : nullptr;
}
SignalStyle* DataSet::Style(const SignalRef& ref)
{
const DataFile* file = FileAt(ref.fileIndex);
if (file == nullptr)
{
return nullptr;
}
if (ref.signalIndex < 0 || ref.signalIndex >= static_cast<int>(file->signals.size()))
{
return nullptr;
}
// 这里需要写入,因此借助非 const 路径重新定位信号。
DataFile& mutableFile = m_files[static_cast<std::size_t>(ref.fileIndex)];
return &mutableFile.signals[static_cast<std::size_t>(ref.signalIndex)].style;
}
double DataSet::MinTime() const
{
double value = std::numeric_limits<double>::infinity();
for (const DataFile& file : m_files)
{
if (std::isfinite(file.minTime))
{
value = std::min(value, file.minTime);
}
}
return std::isfinite(value) ? value : 0.0;
}
double DataSet::MaxTime() const
{
double value = -std::numeric_limits<double>::infinity();
for (const DataFile& file : m_files)
{
if (std::isfinite(file.maxTime))
{
value = std::max(value, file.maxTime);
}
}
return std::isfinite(value) ? value : 1.0;
}
void DataSet::RemapSelectionAfterFileRemoval(int fileIndex)
{
if (fileIndex < 0)
{
return;
}
if (m_selected.fileIndex == fileIndex)
{
m_selected = SignalRef();
}
else if (m_selected.fileIndex > fileIndex)
{
--m_selected.fileIndex;
}
}
bool DataSet::ValidateSelection()
{
if (!m_selected.IsValid())
{
return false;
}
if (Resolve(m_selected) != nullptr)
{
return false;
}
m_selected = SignalRef();
return true;
}
// ============================ 采样辅助 ============================
void ComputeMovingAverage(const std::vector<double>& values, int radius, std::vector<float>& out)
{
const int window = std::max(0, radius);
const std::size_t count = values.size();
out.assign(count, std::numeric_limits<float>::quiet_NaN());
if (count == 0 || window == 0)
{
// 半径 0 表示不平滑:原样复制(中心点无效处仍为 NaN)。
for (std::size_t index = 0; index < count; ++index)
{
if (std::isfinite(values[index]))
{
out[index] = static_cast<float>(values[index]);
}
}
return;
}
// 滑动窗口求和:窗口 = [max(0,i-N), min(count-1,i+N)],
// 每前进一步只增减边界处的两个采样点,整体 O(n),不额外占用前缀和内存。
double sum = 0.0;
std::size_t finiteCount = 0;
std::size_t windowLow = 0;
std::size_t windowHigh = 0; // 闭区间右端。
const auto addValue = [&sum, &finiteCount](double value)
{
if (std::isfinite(value))
{
sum += value;
++finiteCount;
}
};
const auto removeValue = [&sum, &finiteCount](double value)
{
if (std::isfinite(value))
{
sum -= value;
--finiteCount;
}
};
for (std::size_t index = 0; index < count; ++index)
{
const std::size_t low = (index > static_cast<std::size_t>(window))
? (index - static_cast<std::size_t>(window))
: 0;
const std::size_t high = std::min(count - 1, index + static_cast<std::size_t>(window));
if (index == 0)
{
windowLow = low;
windowHigh = high;
for (std::size_t i = windowLow; i <= windowHigh; ++i)
{
addValue(values[i]);
}
}
else
{
while (windowLow < low)
{
removeValue(values[windowLow]);
++windowLow;
}
while (windowHigh < high)
{
++windowHigh;
addValue(values[windowHigh]);
}
}
// 中心点本身无效(NaN)时该处不产生有效结果。
if (finiteCount > 0 && std::isfinite(values[index]))
{
out[index] = static_cast<float>(sum / static_cast<double>(finiteCount));
}
}
}
int FindNearestSample(const DataFile& file, double time)
{
const std::size_t count = file.time.size();
if (count == 0)
{
return -1;
}
if (file.timeMonotonic)
{
const std::vector<double>::const_iterator lower =
std::lower_bound(file.time.begin(), file.time.end(), time);
if (lower == file.time.begin())
{
return 0;
}
if (lower == file.time.end())
{
return static_cast<int>(count - 1);
}
const std::size_t rightIndex = static_cast<std::size_t>(lower - file.time.begin());
const std::size_t leftIndex = rightIndex - 1;
const double leftDistance = std::fabs(time - file.time[leftIndex]);
const double rightDistance = std::fabs(file.time[rightIndex] - time);
return (leftDistance <= rightDistance) ? static_cast<int>(leftIndex) : static_cast<int>(rightIndex);
}
int best = 0;
double bestDistance = std::numeric_limits<double>::infinity();
for (std::size_t index = 0; index < count; ++index)
{
if (!std::isfinite(file.time[index]))
{
continue;
}
const double distance = std::fabs(file.time[index] - time);
if (distance < bestDistance)
{
bestDistance = distance;
best = static_cast<int>(index);
}
}
return best;
}
bool SampleFileAt(const DataFile& file, const SignalData& signal, double time, bool interpolate, double& value)
{
value = kMissing;
if (file.time.empty() || signal.values.empty())
{
return false;
}
if (time < file.minTime || time > file.maxTime)
{
return false;
}
const std::vector<double>& values = signal.values;
if (!file.timeMonotonic)
{
const int nearest = FindNearestSample(file, time);
if (nearest < 0 || static_cast<std::size_t>(nearest) >= values.size())
{
return false;
}
value = values[static_cast<std::size_t>(nearest)];
return std::isfinite(value);
}
const std::vector<double>::const_iterator lower = std::lower_bound(file.time.begin(), file.time.end(), time);
const std::size_t rightIndex = static_cast<std::size_t>(lower - file.time.begin());
if (rightIndex == 0)
{
value = values[0];
return std::isfinite(value);
}
if (rightIndex >= file.time.size())
{
value = values.back();
return std::isfinite(value);
}
const std::size_t leftIndex = rightIndex - 1;
if (rightIndex >= values.size() || leftIndex >= values.size())
{
return false;
}
const double t0 = file.time[leftIndex];
const double t1 = file.time[rightIndex];
const double v0 = values[leftIndex];
const double v1 = values[rightIndex];
if (!interpolate || !std::isfinite(v0) || !std::isfinite(v1) || !(t1 > t0))
{
const double leftDistance = std::fabs(time - t0);
const double rightDistance = std::fabs(t1 - time);
value = (leftDistance <= rightDistance) ? v0 : v1;
return std::isfinite(value);
}
const double ratio = (time - t0) / (t1 - t0);
value = v0 + (v1 - v0) * ratio;
return true;
}
// ============================ TabConfig ============================
TabConfig::TabConfig()
: m_name(L"视图 1")
{
}
void TabConfig::SyncToDataSet(const DataSet& dataSet)
{
const std::size_t fileCount = dataSet.FileCount();
m_visible.resize(fileCount);
m_collapsed.resize(fileCount, false);
for (std::size_t fileIndex = 0; fileIndex < fileCount; ++fileIndex)
{
const DataFile* file = dataSet.FileAt(static_cast<int>(fileIndex));
if (file == nullptr)
{
continue;
}
// 新增信号默认为未勾选(由用户自行决定查看哪些信号),
// 其显示外观已在 DataSet 中初始化完毕。
m_visible[fileIndex].resize(file->signals.size(), false);
}
// 清理已失效的网格引用(选中状态由 DataSet 统一维护)。
for (Lane& lane : m_lanes)
{
std::vector<SignalRef>& refs = lane.signals;
refs.erase(std::remove_if(refs.begin(), refs.end(),
[&dataSet](const SignalRef& ref) { return dataSet.Resolve(ref) == nullptr; }),
refs.end());
}
m_lanes.erase(std::remove_if(m_lanes.begin(), m_lanes.end(),
[](const Lane& lane) { return lane.signals.empty(); }),
m_lanes.end());
SyncLanes(dataSet);
}
void TabConfig::RemapAfterFileRemoval(int fileIndex)
{
if (fileIndex < 0)
{
return;
}
const std::size_t slot = static_cast<std::size_t>(fileIndex);
if (slot < m_visible.size())
{
m_visible.erase(m_visible.begin() + fileIndex);
}
if (slot < m_collapsed.size())
{
m_collapsed.erase(m_collapsed.begin() + fileIndex);
}
for (Lane& lane : m_lanes)
{
std::vector<SignalRef>& refs = lane.signals;
refs.erase(std::remove_if(refs.begin(), refs.end(),
[fileIndex](const SignalRef& ref)
{ return ref.fileIndex == fileIndex; }),
refs.end());
for (SignalRef& ref : refs)
{
if (ref.fileIndex > fileIndex)
{
--ref.fileIndex;
}
}
}
m_lanes.erase(std::remove_if(m_lanes.begin(), m_lanes.end(),
[](const Lane& lane) { return lane.signals.empty(); }),
m_lanes.end());
}
bool TabConfig::IsVisible(const SignalRef& ref) const
{
if (ref.fileIndex < 0 || static_cast<std::size_t>(ref.fileIndex) >= m_visible.size())
{
return false;
}
const std::vector<bool>& fileVisible = m_visible[static_cast<std::size_t>(ref.fileIndex)];
if (ref.signalIndex < 0 || static_cast<std::size_t>(ref.signalIndex) >= fileVisible.size())
{
return false;
}
return fileVisible[static_cast<std::size_t>(ref.signalIndex)];
}
void TabConfig::SetVisible(const DataSet& dataSet, const SignalRef& ref, bool visible)
{
if (ref.fileIndex < 0 || static_cast<std::size_t>(ref.fileIndex) >= m_visible.size())
{
return;
}
std::vector<bool>& fileVisible = m_visible[static_cast<std::size_t>(ref.fileIndex)];
if (ref.signalIndex < 0 || static_cast<std::size_t>(ref.signalIndex) >= fileVisible.size())
{
return;
}
if (fileVisible[static_cast<std::size_t>(ref.signalIndex)] == visible)
{
return;
}
fileVisible[static_cast<std::size_t>(ref.signalIndex)] = visible;
// 合并模式下新勾选的信号独占一个新网格:切到自定义划分后,
// RebuildLanes 会把尚未分配网格的可见信号各自放入新网格。
if (visible && m_laneMode == LaneMode::MERGED)
{
m_laneMode = LaneMode::CUSTOM;
}
SyncLanes(dataSet);
}
void TabConfig::ToggleVisible(const DataSet& dataSet, const SignalRef& ref)
{
SetVisible(dataSet, ref, !IsVisible(ref));
}
void TabConfig::SetFileVisible(const DataSet& dataSet, int fileIndex, bool visible)
{
if (fileIndex < 0 || static_cast<std::size_t>(fileIndex) >= m_visible.size())
{
return;
}
std::vector<bool>& fileVisible = m_visible[static_cast<std::size_t>(fileIndex)];
std::fill(fileVisible.begin(), fileVisible.end(), visible);
SyncLanes(dataSet);
}
void TabConfig::SetAllVisible(const DataSet& dataSet, bool visible)
{
for (std::vector<bool>& fileVisible : m_visible)
{
std::fill(fileVisible.begin(), fileVisible.end(), visible);
}
SyncLanes(dataSet);
}
void TabConfig::SoloSignal(const DataSet& dataSet, const SignalRef& ref)
{
for (std::vector<bool>& fileVisible : m_visible)
{
std::fill(fileVisible.begin(), fileVisible.end(), false);
}
SetVisible(dataSet, ref, true);
}
bool TabConfig::FileHasVisible(const DataSet& dataSet, int fileIndex) const
{
(void)dataSet;
if (fileIndex < 0 || static_cast<std::size_t>(fileIndex) >= m_visible.size())
{
return false;
}
const std::vector<bool>& fileVisible = m_visible[static_cast<std::size_t>(fileIndex)];
return std::find(fileVisible.begin(), fileVisible.end(), true) != fileVisible.end();
}
bool TabConfig::FileAllVisible(const DataSet& dataSet, int fileIndex) const
{
(void)dataSet;
if (fileIndex < 0 || static_cast<std::size_t>(fileIndex) >= m_visible.size())
{
return false;
}
const std::vector<bool>& fileVisible = m_visible[static_cast<std::size_t>(fileIndex)];
if (fileVisible.empty())
{
return false;
}
return std::find(fileVisible.begin(), fileVisible.end(), false) == fileVisible.end();
}
bool TabConfig::AnyVisible() const
{
for (const std::vector<bool>& fileVisible : m_visible)
{
if (std::find(fileVisible.begin(), fileVisible.end(), true) != fileVisible.end())
{
return true;
}
}
return false;
}
int TabConfig::VisibleCount() const
{
int count = 0;
for (const std::vector<bool>& fileVisible : m_visible)
{
count += static_cast<int>(std::count(fileVisible.begin(), fileVisible.end(), true));
}
return count;
}
void TabConfig::SetMode(const DataSet& dataSet, LaneMode mode)
{
m_laneMode = mode;
SyncLanes(dataSet);
}
void TabConfig::SyncLanes(const DataSet& dataSet)
{
(void)dataSet;
RebuildLanes(m_visible, m_lanes, m_laneMode);
}
int TabConfig::LaneOfSignal(const SignalRef& ref) const
{
for (std::size_t lane = 0; lane < m_lanes.size(); ++lane)
{
const std::vector<SignalRef>& refs = m_lanes[lane].signals;
if (std::find(refs.begin(), refs.end(), ref) != refs.end())
{
return static_cast<int>(lane);
}
}
return -1;
}
int TabConfig::MoveSignalToLane(const DataSet& dataSet, const SignalRef& ref, int laneIndex)
{
if (dataSet.Resolve(ref) == nullptr)
{
return -1;
}
const int sourceLane = LaneOfSignal(ref);
if (laneIndex >= 0 && laneIndex == sourceLane)
{
// 拖回原网格:无需变动,避免因网格回收导致顺序抖动。
return sourceLane;
}
// 先把目标网格的“锚信号”固定下来:移除信号后空网格会被回收,
// 下标随之变化,必须用不依赖下标的引用找回真正的目标网格
// (否则会变成“与原网格交换位置”而不是合并进去)。
SignalRef targetAnchor;
bool hasTarget = (laneIndex >= 0 && laneIndex < static_cast<int>(m_lanes.size()));
if (hasTarget)
{
const std::vector<SignalRef>& targetSignals = m_lanes[static_cast<std::size_t>(laneIndex)].signals;
for (const SignalRef& candidate : targetSignals)
{
if (!(candidate == ref))
{
targetAnchor = candidate;
break;
}
}
}
// 手动指定归属意味着切换到自定义划分策略。
m_laneMode = LaneMode::CUSTOM;
for (Lane& lane : m_lanes)
{
std::vector<SignalRef>& refs = lane.signals;
refs.erase(std::remove(refs.begin(), refs.end(), ref), refs.end());
}
m_lanes.erase(std::remove_if(m_lanes.begin(), m_lanes.end(),
[](const Lane& lane) { return lane.signals.empty(); }),
m_lanes.end());
int destination = -1;
if (hasTarget && targetAnchor.IsValid())
{
for (std::size_t index = 0; index < m_lanes.size(); ++index)
{
const std::vector<SignalRef>& refs = m_lanes[index].signals;
if (std::find(refs.begin(), refs.end(), targetAnchor) != refs.end())
{
destination = static_cast<int>(index);
break;
}
}
}
if (destination >= 0)
{
m_lanes[static_cast<std::size_t>(destination)].signals.push_back(ref);
}
else
{
Lane lane;
lane.autoRange = true;
lane.signals.push_back(ref);
m_lanes.push_back(std::move(lane));
}
for (std::size_t index = 0; index < m_lanes.size(); ++index)
{
m_lanes[index].name = L"网格 " + std::to_wstring(index + 1);
}
return LaneOfSignal(ref);
}
int TabConfig::SplitLane(int laneIndex)
{
if (laneIndex < 0 || laneIndex >= static_cast<int>(m_lanes.size()))
{
return -1;
}
const std::vector<SignalRef> signals = m_lanes[static_cast<std::size_t>(laneIndex)].signals;
if (signals.size() <= 1)
{
// 只有一条信号时无需拆分(本就独占一个网格)。
return -1;
}
// 手动排布 → 切换到自定义划分策略。
m_laneMode = LaneMode::CUSTOM;
// 用原网格的“网格自身状态”(Y 轴自适应/边沿计数等)作为每一份的初始状态,
// 这样拆分出来的网格保持原网格的显示设置。
const Lane source = m_lanes[static_cast<std::size_t>(laneIndex)];
std::vector<Lane> pieces;
pieces.reserve(signals.size());
for (const SignalRef& ref : signals)
{
Lane lane;
lane.autoRange = source.autoRange;
lane.yMin = source.yMin;
lane.yMax = source.yMax;
lane.fitYToSelection = source.fitYToSelection;
lane.edgeCount = source.edgeCount;
lane.edgeValue = source.edgeValue;
lane.edgeValueValid = source.edgeValueValid;
lane.edgePanelOpen = source.edgePanelOpen;
lane.edgePanelX = source.edgePanelX;
lane.edgePanelY = source.edgePanelY;
lane.edgeCenter = source.edgeCenter;
lane.edgeCenterSmooth = source.edgeCenterSmooth;
lane.edgeCenterPanelOpen = source.edgeCenterPanelOpen;
lane.edgeCenterPanelX = source.edgeCenterPanelX;
lane.edgeCenterPanelY = source.edgeCenterPanelY;
lane.meanFilter = source.meanFilter;
lane.meanFilterRadius = source.meanFilterRadius;
lane.meanFilterPanelOpen = source.meanFilterPanelOpen;
lane.meanFilterPanelX = source.meanFilterPanelX;
lane.meanFilterPanelY = source.meanFilterPanelY;
lane.signals.push_back(ref);
pieces.push_back(std::move(lane));
}
// 用 pieces 替换原网格(插入到原位置,因此其后方的网格整体顺次后移)。
m_lanes.erase(m_lanes.begin() + laneIndex);
m_lanes.insert(m_lanes.begin() + laneIndex, pieces.begin(), pieces.end());
// 统一重命名,保证编号连续(GX 编号在各显示位置均由此位置推导)。
for (std::size_t index = 0; index < m_lanes.size(); ++index)
{
m_lanes[index].name = L"网格 " + std::to_wstring(index + 1);
}
return laneIndex;
}
void TabConfig::RemapAfterSignalInsert(int fileIndex, int insertPos)
{
if (fileIndex < 0 || insertPos < 0)
{
return;
}
// 可见性表:在插入点补一列(新信号默认不可见,由调用方按需勾选)。
const std::size_t slot = static_cast<std::size_t>(fileIndex);
if (slot < m_visible.size() && static_cast<std::size_t>(insertPos) <= m_visible[slot].size())
{
m_visible[slot].insert(m_visible[slot].begin() + insertPos, false);
}
// 网格内的信号引用:同一文件中位于插入点之后的引用下标整体后移。
for (Lane& lane : m_lanes)
{
for (SignalRef& ref : lane.signals)
{
if (ref.fileIndex == fileIndex && ref.signalIndex >= insertPos)
{
++ref.signalIndex;
}
}
}
}
bool TabConfig::MoveLaneOfSignalBelow(const SignalRef& moved, const SignalRef& anchor)
{
const int from = LaneOfSignal(moved);
if (from < 0 || LaneOfSignal(anchor) < 0)
{
return false;
}
Lane lane = std::move(m_lanes[static_cast<std::size_t>(from)]);
m_lanes.erase(m_lanes.begin() + from);
// erase 之后锚点网格的下标可能变化,必须用信号引用重新定位。
const int target = LaneOfSignal(anchor);
if (target < 0)
{
m_lanes.push_back(std::move(lane));
}
else
{
m_lanes.insert(m_lanes.begin() + target + 1, std::move(lane));
}
// 手动排布 → 切换到自定义划分策略,避免后续重建网格时顺序被还原。
m_laneMode = LaneMode::CUSTOM;
RenameLanes();
return true;
}
void TabConfig::RenameLanes()
{
for (std::size_t index = 0; index < m_lanes.size(); ++index)
{
m_lanes[index].name = L"网格 " + std::to_wstring(index + 1);
}
}
bool TabConfig::IsCollapsed(int fileIndex) const
{
if (fileIndex < 0 || static_cast<std::size_t>(fileIndex) >= m_collapsed.size())
{
return false;
}
return m_collapsed[static_cast<std::size_t>(fileIndex)];
}
void TabConfig::ToggleCollapsed(int fileIndex)
{
if (fileIndex < 0)
{
return;
}
if (static_cast<std::size_t>(fileIndex) >= m_collapsed.size())
{
m_collapsed.resize(static_cast<std::size_t>(fileIndex) + 1, false);
}
m_collapsed[static_cast<std::size_t>(fileIndex)] = !m_collapsed[static_cast<std::size_t>(fileIndex)];
}
void TabConfig::ComputeLaneRange(const DataSet& dataSet, int laneIndex, double& yMin, double& yMax) const
{
if (laneIndex < 0 || laneIndex >= static_cast<int>(m_lanes.size()))
{
yMin = 0.0;
yMax = 1.0;
return;
}
const Lane& lane = m_lanes[static_cast<std::size_t>(laneIndex)];
if (!lane.autoRange)
{
yMin = lane.yMin;
yMax = lane.yMax;
if (!(yMax > yMin))
{
yMin = 0.0;
yMax = 1.0;
}
return;
}
double low = std::numeric_limits<double>::infinity();
double high = -std::numeric_limits<double>::infinity();
for (const SignalRef& ref : lane.signals)
{
if (!IsVisible(ref))
{
continue;
}
const SignalData* signal = dataSet.Resolve(ref);
if (signal == nullptr || signal->finiteCount == 0)
{
continue;
}
low = std::min(low, signal->minValue);
high = std::max(high, signal->maxValue);
}
if (!std::isfinite(low) || !std::isfinite(high))
{
low = 0.0;
high = 1.0;
}
PadRange(low, high);
yMin = low;
yMax = high;
}
bool TabConfig::ComputeVisibleTimeBounds(const DataSet& dataSet, double& minTime, double& maxTime) const
{
double low = std::numeric_limits<double>::infinity();
double high = -std::numeric_limits<double>::infinity();
for (std::size_t fileIndex = 0; fileIndex < m_visible.size(); ++fileIndex)
{
const std::vector<bool>& fileVisible = m_visible[fileIndex];
if (std::find(fileVisible.begin(), fileVisible.end(), true) == fileVisible.end())
{
continue;
}
const DataFile* file = dataSet.FileAt(static_cast<int>(fileIndex));
if (file == nullptr)
{
continue;
}
if (std::isfinite(file->minTime))
{
low = std::min(low, file->minTime);
}
if (std::isfinite(file->maxTime))
{
high = std::max(high, file->maxTime);
}
}
if (!std::isfinite(low) || !std::isfinite(high) || !(high > low))
{
return false;
}
minTime = low;
maxTime = high;
return true;
}
} // namespace jdi