Fix panel internal titles and step calls (Step3)

src/gui/panels/step10_map_panel.py

@@ -98,8 +98,8 @@ class WaterIndexWorker(QThread):
         self.progress.emit(msg, pct)
 
 
-class Step9WaterColorPanel(QWidget):
-    """步骤9：水色指数反演（直接处理 BSQ 影像）"""
+class Step10MapPanel(QWidget):
+    """步骤10：专题图生成"""
 
     def __init__(self, parent=None):
         super().__init__(parent)

src/gui/panels/step11_viz_panel.py

@@ -1211,8 +1211,8 @@ class ChartBrowserDialog(QDialog):
                     QMessageBox.critical(self, "错误", f"保存失败:\n{str(e)}")
 
 
-class VisualizationPanel(QWidget):
-    """可视化分析面板 - 重构版：左侧目录树 + 右侧图像查看器"""
+class Step11VizPanel(QWidget):
+    """步骤11：可视化展示"""
     def __init__(self, parent=None):
         super().__init__(parent)
         self.work_dir = None

src/gui/panels/step12_report_panel.py

@@ -79,8 +79,8 @@ class ReportGenerateThread(QThread):
             self.failed.emit(f"{e}\n{traceback.format_exc()}")
 
 
-class ReportGenerationPanel(QWidget):
-    """Word 报告生成面板。AI 配置统一由 AISettingsDialog 管理，本面板不持有配置状态。"""
+class Step12ReportPanel(QWidget):
+    """步骤12：分析报告生成。AI 配置统一由 AISettingsDialog 管理，本面板不持有配置状态。"""
 
     def __init__(self, main_window=None, parent=None):
         super().__init__(parent)

src/gui/panels/step5_clean_panel.py

@@ -18,7 +18,7 @@ from src.gui.components.custom_widgets import FileSelectWidget
 from src.gui.styles import ModernStylesheet
 
 
-class Step5Panel(QWidget):
+class Step5CleanPanel(QWidget):
     """步骤5：数据清洗"""
     def __init__(self, parent=None):
         super().__init__(parent)
@@ -135,18 +135,16 @@ class Step5Panel(QWidget):
             self.output_file.set_path("")
 
     def run_step(self):
-        """独立运行步骤4"""
-        # 验证输入
+        """独立运行步骤5"""
         csv_path = self.csv_file.get_path()
         if not csv_path:
             QMessageBox.warning(self, "输入错误", "请选择水质参数文件！")
             return
 
-        # 获取主窗口并运行步骤
         main_window = self.window()
         if hasattr(main_window, 'run_single_step'):
-            config = {'step4': self.get_config()}
-            main_window.run_single_step('step4', config)
+            config = {'step5': self.get_config()}
+            main_window.run_single_step('step5', config)
 
     def reset_preview(self, message="请选择CSV文件并点击刷新预览"):
         """重置预览表格"""

src/gui/panels/step6_feature_panel.py

@@ -17,8 +17,8 @@ from src.gui.components.custom_widgets import FileSelectWidget
 from src.gui.styles import ModernStylesheet
 
 
-class Step6Panel(QWidget):
-    """步骤6：光谱特征"""
+class Step6FeaturePanel(QWidget):
+    """步骤6：光谱特征提取"""
     def __init__(self, parent=None):
         super().__init__(parent)
         self.init_ui()

src/gui/panels/step7_index_panel.py

@@ -1,3 +1,9 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+"""
+Step7 面板 - 水质指数计算
+"""
+
 import os
 import sys
 import pandas as pd
@@ -35,7 +41,7 @@ def get_resource_path(relative_path: str) -> str:
     return str(base_dir / os.path.basename(relative_path))
 
 
-class Step7Panel(QWidget):
+class Step7IndexPanel(QWidget):
     COLOR_RATIO = QColor(255, 255, 255)
     COLOR_CONCENTRATION = QColor(220, 240, 255)
     COLOR_HEADER = QColor(245, 245, 245)

src/gui/panels/step8_ml_train_panel.py

@@ -1,7 +1,7 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 """
-Step9 面板 - 机器学习建模
+Step8 面板 - 机器学习建模
 """
 
 import os
@@ -41,8 +41,8 @@ def get_resource_path(relative_path: str) -> str:
     return str(base_dir / os.path.basename(relative_path))
 
 
-class Step9Panel(QWidget):
-    """步骤9：机器学习建模"""
+class Step8MlTrainPanel(QWidget):
+    """步骤8：机器学习建模"""
     COLOR_RATIO = QColor(255, 255, 255)
     COLOR_CONCENTRATION = QColor(220, 240, 255)
     COLOR_HEADER = QColor(245, 245, 245)
@@ -343,82 +343,7 @@ class Step9Panel(QWidget):
             QMessageBox.warning(self, "提示", "请先选择输入特征提取CSV文件")
             return
 
-        formula_names = config['formula_names']
-        if not formula_names:
-            QMessageBox.warning(self, "提示", "请至少勾选一个公式")
-            return
-
-        output_mode = config['output_mode']
-
-        try:
-            from src.core.steps.data_preparation_step import DataPreparationStep
-
-            spec_df = pd.read_csv(training_path)
-            x_col, y_col = self._get_coord_cols(spec_df)
-
-            formula_csv_path = self.builtin_formula_path
-            if not formula_csv_path or not os.path.exists(formula_csv_path):
-                possible_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'gui', 'model', 'waterindex.csv')
-                if os.path.exists(possible_path):
-                    formula_csv_path = possible_path
-
-            work_dir = self._get_work_dir()
-
-            indices_csv_path = DataPreparationStep.calculate_water_quality_indices(
-                training_csv_path=training_path,
-                formula_csv_file=formula_csv_path,
-                formula_names=formula_names,
-                output_file=None,
-                enabled=True,
-                output_dir=work_dir if work_dir else os.getcwd(),
-            )
-
-            if indices_csv_path and os.path.exists(indices_csv_path):
-                output_df = pd.read_csv(indices_csv_path)
-            else:
-                output_df = spec_df
-
-            track_a_path = None
-            track_b_dir = None
-
-            if output_mode in (0, 1):
-                track_a_dir = os.path.join(work_dir, "9_supervised_modeling") if work_dir else "9_supervised_modeling"
-                os.makedirs(track_a_dir, exist_ok=True)
-                track_a_path = os.path.join(track_a_dir, "training_spectra_indices.csv")
-
-            if output_mode in (0, 2):
-                track_b_dir = os.path.join(work_dir, "11_12_13_predictions", "Traditional_Indices") if work_dir else "11_12_13_predictions/Traditional_Indices"
-                os.makedirs(track_b_dir, exist_ok=True)
-
-            saved = []
-            if output_mode in (0, 1):
-                output_df.to_csv(track_a_path, index=False, float_format='%.6f')
-                saved.append(f"宽表: {track_a_path}")
-
-            if output_mode in (0, 2):
-                coord_x = spec_df[x_col].values if x_col in spec_df.columns else np.arange(len(spec_df))
-                coord_y = spec_df[y_col].values if y_col in spec_df.columns else np.zeros(len(spec_df))
-
-                for formula_name in formula_names:
-                    if formula_name not in output_df.columns:
-                        continue
-                    single_df = pd.DataFrame({
-                        'x_coord': coord_x,
-                        'y_coord': coord_y,
-                        'value': output_df[formula_name].values,
-                    })
-                    safe_name = formula_name.replace('/', '_').replace(' ', '_')
-                    out_path = os.path.join(track_b_dir, f"{safe_name}_prediction.csv")
-                    single_df.to_csv(out_path, index=False, float_format='%.6f')
-                saved.append(f"单文件目录: {track_b_dir}")
-
-            QMessageBox.information(
-                self, "计算完成",
-                f"已保存 {len(saved)} 个输出目标:\n" + "\n".join(saved)
-            )
-
-        except ImportError as e:
-            QMessageBox.critical(self, "依赖错误", f"无法导入模块:\n{e}")
-        except Exception as e:
-            import traceback
-            QMessageBox.critical(self, "计算失败", f"原因: {str(e)}\n{traceback.format_exc()}")
+        main_window = self.window()
+        if hasattr(main_window, 'run_single_step'):
+            pipeline_config = {'step8': config}
+            main_window.run_single_step('step8', pipeline_config)

src/gui/panels/step9_ml_predict_panel.py

@@ -19,8 +19,8 @@ from src.gui.components.custom_widgets import FileSelectWidget
 from src.gui.styles import ModernStylesheet
 
 
-class Step10MlPanel(QWidget):
-    """步骤11：机器学习预测"""
+class Step9MlPredictPanel(QWidget):
+    """步骤9：机器学习预测"""
     def __init__(self, parent=None):
         super().__init__(parent)
         self.external_models_dict = {}   # {subdir_name: model_obj, ...}