feat: ML模型波长记忆 + 跨传感器光谱重采样 + 数据加载规范化

训练端 (modeling_batch.py):
- _extract_train_wavelengths() 从列名提取训练波长写入 metadata
- load_data_batch/load_data_single 改为基于列名语义智能提取特征
- 废除 feature_start_column 硬编码位置索引

推理端 (inference_batch.py):
- preprocess_spectra() 分支A: train_wavelengths存在→np.interp精确重采样
- preprocess_spectra() 分支B: 无波长元数据→解析列名→np.interp到400-800nm标准网格
- 废除暴力截断和零值填充

src/new/services/step8_service.py

@@ -14,7 +14,7 @@ Step8 后端计算服务（机器学习建模训练）
 
     execute_step8({
         "training_csv_path": "D:/training_spectra_indices.csv",  # 训练 CSV（必填）
-        "feature_start_column": "374.285004",                    # 特征起始列名/索引
+        "feature_start_column": None,                             # None=智能识别特征列
         "preprocessing_methods": ["None", "MMS"],                 # 预处理方法列表
         "model_names": ["RF", "SVR", "Ridge", "Lasso"],          # 模型列表
         "split_methods": ["spxy"],                                # 划分方法列表
@@ -68,7 +68,7 @@ def execute_step8(config: Dict[str, Any]) -> Dict[str, Any]:
     """
     # ---------- 入参规整 ----------
     training_csv_path: Optional[str] = config.get("training_csv_path")
-    feature_start_column: str = str(config.get("feature_start_column", "374.285004"))
+    feature_start_column: Optional[str] = config.get("feature_start_column", None)
     preprocessing_methods: Optional[List[str]] = config.get("preprocessing_methods")
     model_names: Optional[List[str]] = config.get("model_names")
     split_methods: Optional[List[str]] = config.get("split_methods")

src/new/views/step8_view.py

@@ -104,12 +104,12 @@ class Step8View(BaseView):
         params_layout = QFormLayout()
 
         self.feature_start = QLineEdit()
-        self.feature_start.setText("374.285004")
+        self.feature_start.setPlaceholderText("留空=智能识别波长列和WQI列")
         params_layout.addRow("特征起始列:", self.feature_start)
 
         feature_start_hint = QLabel(
-            "提示：请使用记事本打开 training_spectra.csv 确认首个波长的精确表头名称"
-            "（如 374.285 或 374.285004）并在此填入，避免因浮点精度差异导致列名匹配失败。"
+            "提示：留空则自动识别所有波长列（纯数字列名）和 WQI 指数列作为特征。\n"
+            "如需手动指定，可填入首个波长列名（如 374.285004）或列索引。"
         )
         feature_start_hint.setWordWrap(True)
         feature_start_hint.setStyleSheet("color: #666; font-size: 10px;")
@@ -253,7 +253,7 @@ class Step8View(BaseView):
         ]
 
         config = {
-            "feature_start_column": self.feature_start.text(),
+            "feature_start_column": self.feature_start.text().strip() or None,
             "preprocessing_methods": preprocessing_methods if preprocessing_methods else ["None"],
             "model_names": model_names if model_names else ["SVR"],
             "split_methods": split_methods if split_methods else ["random"],
@@ -270,7 +270,8 @@ class Step8View(BaseView):
 
     def set_config(self, config: dict):
         if "feature_start_column" in config:
-            self.feature_start.setText(str(config["feature_start_column"]))
+            val = config["feature_start_column"]
+            self.feature_start.setText(str(val) if val is not None else "")
         if "cv_folds" in config:
             self.cv_folds.setValue(config["cv_folds"])
         if "preprocessing_methods" in config: