fix(step7): 去除耀斑路径智能回溯 — .dat占位符自动拦截改为glob搜索3_deglint真实.bsq产物

src/core/steps/prediction_step.py

@@ -47,21 +47,47 @@ class PredictionStep:
         if deglint_img_path is None:
             raise ValueError("必须提供 deglint_img_path 参数")
 
-        # 强制后缀校验：无论用户 UI 传入 .dat/.tif/.bsq，统一规范为 .bsq
+        from pathlib import Path
-        deglint_img_path = str(Path(deglint_img_path).with_suffix('.bsq'))
+        import os
+
+        # 1. 初始归一化与安全转换
+        original_path = Path(deglint_img_path)
+        final_deglint_path = original_path
+
+        # 2. 智能回溯探测：如果当前路径不存在，或者后缀是前端死板的 .dat
+        if not final_deglint_path.exists() or final_deglint_path.suffix.lower() == '.dat':
+            print(f"🔍 智能探测：输入去耀斑路径不存在或为 .dat 占位符 ({final_deglint_path})，正在向上搜索真实产物...")
+
+            # 定位到预期的 3_deglint 根目录
+            possible_dir = original_path.parent
+            if possible_dir.name != '3_deglint' and Path(output_path).parent.parent.exists():
+                possible_dir = Path(output_path).parent.parent / "3_deglint"
+
+            if possible_dir.exists():
+                # 搜寻该目录下所有真实存在的 .bsq 文件（接管 goodman/sugar/kutser/hedley 的硬编码产物）
+                existing_bsqs = list(possible_dir.glob("*.bsq"))
+                if existing_bsqs:
+                    final_deglint_path = existing_bsqs[0]
+                    print(f"💡 智能拦截成功：自动寻回底层真实去耀斑影像: {final_deglint_path}")
+                else:
+                    final_deglint_path = original_path.with_suffix('.bsq')
+            else:
+                final_deglint_path = original_path.with_suffix('.bsq')
+
+        deglint_img_str = str(final_deglint_path)
 
         if Path(output_path).exists():
             print(f"检测到已存在的采样点光谱数据文件，直接使用: {output_path}")
             notify("skipped", f"采样点光谱数据已设置: {output_path}")
             return output_path
 
-        # 允许外部显式传入 glint_mask_path 覆盖内部默认值
         glint_mask_to_use = glint_mask_path
         if glint_mask_to_use is None:
             print("未检测到耀斑掩膜，将在采样点生成时不做耀斑区域剔除。")
 
+        # 传递极度安全的 deglint_img_str 进底层
         get_spectral_sampling_points_chunked(
-            deglint_img_path, water_mask_path, glint_mask_to_use,
+            deglint_img_str, water_mask_path, glint_mask_to_use,
             output_path, interval, sample_radius, chunk_size
         )