refactor(gui): 专题图UI美化/目录寻路/掩膜继承/隐藏冗余回归步骤
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@ -109,7 +109,7 @@ class Step9Panel(QWidget):
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mode_row.addStretch()
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layout.addLayout(mode_row)
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# ---------- RadioButton 美化样式(选中状态更醒目) ----------
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# ---------- RadioButton 美化样式(选中状态为方形实心块,贴合主界面风格) ----------
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radio_style = """
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QRadioButton {
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font-size: 14px;
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@ -117,21 +117,16 @@ class Step9Panel(QWidget):
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color: #333333;
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}
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QRadioButton::indicator {
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width: 18px;
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height: 18px;
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width: 16px;
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height: 16px;
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border: 2px solid #999999;
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border-radius: 9px;
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border-radius: 3px;
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background-color: white;
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}
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QRadioButton::indicator:checked {
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border: 2px solid #0078d4;
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background-color: qradialgradient(
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cx:0.5, cy:0.5, radius:0.5,
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fx:0.5, fy:0.5,
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stop:0 #0078d4,
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stop:0.6 white,
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stop:1.0 white
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);
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background-color: #0078d4;
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image: none;
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}
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QRadioButton::indicator:hover {
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border: 2px solid #005a9e;
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@ -353,7 +348,7 @@ class Step9Panel(QWidget):
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if not main_window:
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return
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# 1. 尝试从 Step8 界面读取机器学习预测输出目录(优先)
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# 1. 尝试从 Step8 界面读取机器学习预测输出目录(最优先)
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pred_dir = None
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if hasattr(main_window, 'step8_panel'):
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step8_widget = getattr(main_window.step8_panel, 'output_file', None)
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@ -367,7 +362,10 @@ class Step9Panel(QWidget):
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# 若为相对路径,使用 work_dir 合成为绝对路径
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if not os.path.isabs(step8_output):
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step8_output = os.path.join(self.work_dir or '', step8_output).replace('\\', '/')
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pred_dir = str(Path(step8_output).parent)
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# 提取父目录后追加 Machine_Learning_Prediction(最底层真实子目录)
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base_pred_dir = str(Path(step8_output).parent)
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ml_pred_dir = Path(base_pred_dir) / "Machine_Learning_Prediction"
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pred_dir = str(ml_pred_dir) if ml_pred_dir.exists() else base_pred_dir
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# 2. 备选:从 Step8.5 界面读取非经验预测输出目录
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if not pred_dir and hasattr(main_window, 'step8_5_panel'):
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@ -411,6 +409,14 @@ class Step9Panel(QWidget):
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existing_out = self.output_dir.get_path()
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if not existing_out or not existing_out.strip():
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self.output_dir.set_path(output_dir)
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# 5. 自动继承步骤1的水域掩膜作为边界文件
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if self.work_dir:
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default_mask = Path(self.work_dir) / "1_water_mask" / "water_mask_from_shp.dat"
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if default_mask.exists():
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existing_boundary = (self.boundary_file.get_path() or "").strip()
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if not existing_boundary:
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self.boundary_file.set_path(str(default_mask))
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except Exception as e:
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import traceback
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print(f"【{self.__class__.__name__}】自动填充失败,跳过: {e}")
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