feat(nmNum): 完善敏感性分析参数选择与采样配置

- 绑定六个参数的真实模型值，统一单位转换、配置保存与物理范围校验。
- 完善自动和手动采样，实现两种确定性方法的次数统计与分页组合预览。
- 调整 Skin 和压力默认范围，统一有效数字显示并保留原始采样精度。

Include/nmNum/nmData/nmDataSensitive.h

@@ -87,6 +87,8 @@ public:
 		// values
 		QVector<double>& getValues();
 		void setValues(const QVector<double>& vals);
+		// 自动采样始终保留原始精度；手动模式直接返回用户指定值。
+		QVector<double> samplingValues() const;
 	};
 
 public:
@@ -104,8 +106,13 @@ public:
 	void setCalculationType(CalculationType type);
 
 	// === 总模型数 ===
-	int  getTotalModelCount() const;
+	quint64 getTotalModelCount() const;
-	void setTotalModelCount(int count);
+	void setTotalModelCount(quint64 count);
+	quint64 calculateModelCount(bool* overflow = nullptr) const;
+	// 返回与变量列表对应的基准单位值，未改变的参数保持模型值。
+	bool getRunValues(quint64 runIndex, QVector<double>& values) const;
+	bool usesBaseUnits() const;
+	void setUsesBaseUnits(bool enabled);
 
 	// === 变量列表 ===
 	QList<VariableSampling>& getVariables();
@@ -116,7 +123,8 @@ public:
 
 private:
 	CalculationType m_calcType;
-	int m_totalModelCount;
+	quint64 m_totalModelCount;
+	bool m_usesBaseUnits;
 	QList<VariableSampling> m_variables;
 };
 

Include/nmNum/nmSubWxs/nmWxSensitive.h

@@ -13,7 +13,8 @@ class QPushButton;
 class QStackedWidget;
 class QCheckBox;
 class QSpinBox;
-class QDoubleSpinBox;
+class QLineEdit;
+class nmDataAnalyzeManager;
 class QTableWidget;
 class QLabel;
 class QIcon;
@@ -23,7 +24,7 @@ class NM_SUB_WXS_EXPORT nmWxSensitive : public iDlgBase
 	Q_OBJECT
 
 public:
-	explicit nmWxSensitive(QWidget *parent = 0);
+	explicit nmWxSensitive(QWidget *parent = 0, nmDataAnalyzeManager* manager = nullptr);
 	~nmWxSensitive();
 
 	private slots:
@@ -32,7 +33,13 @@ public:
 		void onCalculationTypeChanged(int index);
 		void onTreeItemClicked(QTreeWidgetItem *item, int column);
 		void onVariableParamChanged();
+		void onSamplingEditingFinished();
 		void onTableCellClicked(int row, int column);
+		void onTreeItemChanged(QTreeWidgetItem *item, int column);
+		void onPreviewClicked();
+		void onPreviewPrevious();
+		void onPreviewNext();
+		void onPreviewJump();
 
 private:
 	void setupUI();
@@ -44,7 +51,10 @@ private:
 	QIcon createTriangleIcon();  // 创建三角箭头图标
 
 	void loadDataToUI();  // 从数据加载到界面
-	void saveDataFromUI();  // 从界面保存到数据
+	bool saveDataFromUI();  // 校验并从界面保存到数据
+	void refreshModelValues();
+	void updateModelCount();
+	void refreshPreviewPage();
 	int findVariableIndex(const QString& varName);  // 查找变量索引
 
 	// UI 控件
@@ -54,19 +64,26 @@ private:
 	QLabel *modelCountLabel;
 	QPushButton *generateButton;
 	QPushButton *cancelButton;
+	QPushButton *previewButton;
 
 	// 各个变量页面的控件列表
 	QList<QComboBox*> m_modeCombos;
 	QList<QCheckBox*> m_logChecks;
 	QList<QSpinBox*> m_numSpins;
-	QList<QDoubleSpinBox*> m_modelSpins;
+	QList<QLineEdit*> m_modelSpins;
-	QList<QDoubleSpinBox*> m_minSpins;
+	QList<QLineEdit*> m_minSpins;
-	QList<QDoubleSpinBox*> m_maxSpins;
+	QList<QLineEdit*> m_maxSpins;
 	QList<QTableWidget*> m_valueTables;
 	QList<QLabel*> m_unitLabels;
 
 	// 跟踪当前选中的值索引
 	int m_selectedValueIndex;
+	bool m_loading;
+	nmDataAnalyzeManager* m_pDataManager;
+	QTableWidget* m_previewTable;
+	QLineEdit* m_previewPageEdit;
+	QLabel* m_previewPageLabel;
+	quint64 m_previewPage;
 
 	// 敏感分析数据
 	nmDataSensitive m_sensitiveData;

Src/nmNum/nmData/nmDataSensitive.cpp

@@ -1,4 +1,6 @@
 #include "nmDataSensitive.h"
+#include <cmath>
+#include <limits>
 
 nmDataSensitive::VariableSampling::VariableSampling()
 	: m_varGroup("")
@@ -204,10 +206,33 @@ void nmDataSensitive::VariableSampling::setValues(const QVector<double>& vals)
 	m_values = vals;
 }
 
+QVector<double> nmDataSensitive::VariableSampling::samplingValues() const
+{
+	// 表格显示精度不参与采样，包含零或负数的对数范围按线性处理。
+	if (m_mode == MODE_MANUAL) return m_values;
+	QVector<double> values;
+	if (m_number <= 0) return values;
+	const double minimum = m_minValue.getValue().toDouble();
+	const double maximum = m_maxValue.getValue().toDouble();
+	const bool logarithmic = m_log && minimum > 0.0 && maximum > 0.0;
+	for (int i = 0; i < m_number; ++i) {
+		const double t = m_number == 1 ? 0.0 : double(i) / (m_number - 1);
+		double value = logarithmic
+			? std::exp((1.0 - t) * std::log(minimum) + t * std::log(maximum))
+			: (1.0 - t) * minimum + t * maximum;
+		if (m_number == 1) value = m_modelValue.getValue().toDouble();
+		else if (i == 0) value = minimum;
+		else if (i == m_number - 1) value = maximum;
+		values.append(value);
+	}
+	return values;
+}
+
 
 nmDataSensitive::nmDataSensitive()
 	: m_calcType(CALC_DETERMINISTIC)
 	, m_totalModelCount(0)
+	, m_usesBaseUnits(false)
 	, m_variables()
 {
 }
@@ -224,6 +249,7 @@ nmDataSensitive& nmDataSensitive::operator=(const nmDataSensitive& other)
 	if (this != &other) {
 		m_calcType        = other.m_calcType;
 		m_totalModelCount = other.m_totalModelCount;
+		m_usesBaseUnits   = other.m_usesBaseUnits;
 		m_variables       = other.m_variables;
 	}
 	return *this;
@@ -238,6 +264,8 @@ rapidjson::Value nmDataSensitive::ToJsonValue(
 	rapidjson::Document::AllocatorType& allocator) const
 {
 	rapidjson::Value root(rapidjson::kObjectType);
+	// 旧配置中的采样值是显示单位，新配置统一保存业务基准单位。
+	root.AddMember("UsesBaseUnits", m_usesBaseUnits, allocator);
 
 	// 顶部 Calculation type
 	root.AddMember("CalculationType",
@@ -262,6 +290,8 @@ rapidjson::Value nmDataSensitive::ToJsonValue(
 // 从 RapidJSON Value 反序列化数据到 nmDataSensitive
 void nmDataSensitive::FromJsonValue(const rapidjson::Value& jsonValue)
 {
+	m_usesBaseUnits = jsonValue.HasMember("UsesBaseUnits") &&
+		jsonValue["UsesBaseUnits"].IsBool() && jsonValue["UsesBaseUnits"].GetBool();
 	if (jsonValue.HasMember("CalculationType") && jsonValue["CalculationType"].IsInt()) {
 		int t = jsonValue["CalculationType"].GetInt();
 		if (t == CALC_DETERMINISTIC_MULTIVARIATE)
@@ -270,8 +300,8 @@ void nmDataSensitive::FromJsonValue(const rapidjson::Value& jsonValue)
 			m_calcType = CALC_DETERMINISTIC;
 	}
 
-	if (jsonValue.HasMember("TotalModelCount") && jsonValue["TotalModelCount"].IsInt()) {
+	if (jsonValue.HasMember("TotalModelCount") && jsonValue["TotalModelCount"].IsUint64()) {
-		m_totalModelCount = jsonValue["TotalModelCount"].GetInt();
+		m_totalModelCount = jsonValue["TotalModelCount"].GetUint64();
 	}
 
 	m_variables.clear();
@@ -300,16 +330,87 @@ void nmDataSensitive::setCalculationType(CalculationType type)
 }
 
 // === 总模型数 ===
-int nmDataSensitive::getTotalModelCount() const
+quint64 nmDataSensitive::getTotalModelCount() const
 {
 	return m_totalModelCount;
 }
 
-void nmDataSensitive::setTotalModelCount(int count)
+void nmDataSensitive::setTotalModelCount(quint64 count)
 {
 	m_totalModelCount = count;
 }
 
+quint64 nmDataSensitive::calculateModelCount(bool* overflow) const
+{
+	// 未选择变量时为零；两种确定性方法分别累计和、积。
+	if (overflow) *overflow = false;
+	quint64 count = 0;
+	bool selected = false;
+	for (int i = 0; i < m_variables.size(); ++i) {
+		const VariableSampling& variable = m_variables[i];
+		if (!variable.m_enabled) continue;
+		const quint64 number = variable.m_number > 0 ? variable.m_number : 0;
+		if (!number) return 0;
+		const quint64 limit = (std::numeric_limits<quint64>::max)();
+		if (m_calcType == CALC_DETERMINISTIC) {
+			if (count > limit - number) { if (overflow) *overflow = true; return 0; }
+			count += number;
+		} else {
+			if (!selected) count = 1;
+			if (count > limit / number) { if (overflow) *overflow = true; return 0; }
+			count *= number;
+		}
+		selected = true;
+	}
+	return count;
+}
+
+bool nmDataSensitive::getRunValues(quint64 runIndex, QVector<double>& values) const
+{
+	// 按编号解码组合，不预先展开笛卡尔积，也不删除重复的基准组合。
+	bool overflow = false;
+	const quint64 count = calculateModelCount(&overflow);
+	if (overflow || runIndex >= count) return false;
+	values.clear();
+	for (int i = 0; i < m_variables.size(); ++i)
+		values.append(m_variables[i].m_modelValue.getValue().toDouble());
+	if (m_calcType == CALC_DETERMINISTIC) {
+		for (int i = 0; i < m_variables.size(); ++i) {
+			const VariableSampling& variable = m_variables[i];
+			if (!variable.m_enabled) continue;
+			const QVector<double> samples = variable.samplingValues();
+			if (samples.size() != variable.m_number) return false;
+			if (runIndex < quint64(samples.size())) {
+				values[i] = samples[int(runIndex)];
+				return true;
+			}
+			runIndex -= samples.size();
+		}
+	} else {
+		for (int i = m_variables.size() - 1; i >= 0; --i) {
+			const VariableSampling& variable = m_variables[i];
+			if (!variable.m_enabled) continue;
+			const QVector<double> samples = variable.samplingValues();
+			if (samples.isEmpty() || samples.size() != variable.m_number) return false;
+			values[i] = samples[int(runIndex % samples.size())];
+			runIndex /= samples.size();
+		}
+		return true;
+	}
+	return false;
+}
+
+bool nmDataSensitive::usesBaseUnits() const
+{
+	return m_usesBaseUnits;
+}
+
+void nmDataSensitive::setUsesBaseUnits(bool enabled)
+{
+	// 单位标记随配置保存，避免再次打开时重复转换。
+	m_usesBaseUnits = enabled;
+}
+
 // === 变量列表 ===
 QList<nmDataSensitive::VariableSampling>& nmDataSensitive::getVariables()
 {

Src/nmNum/nmSubWxs/nmWxNumericalDesign.cpp

@@ -1444,7 +1444,7 @@ void nmWxNumericalDesign::onForecastClicked()
 
 void nmWxNumericalDesign::onSensitiveClicked()
 {
-	nmWxSensitive* dlg = new nmWxSensitive();
+	nmWxSensitive* dlg = new nmWxSensitive(this, m_pDataManager);
 	dlg->show();
 }