Now exports path as csv with correct labelling of points

GUI_draft_live.py

 import sys
 import math
+import csv  # <-- Added
 import numpy as np
 
 # For smoothing the path
@@ -778,8 +779,6 @@ class AdvancedSettingsWidget(QWidget):
     Shows toggle rainbow, circle editor, line smoothing slider, contrast slider,
     plus two image previews (contrasted-blurred and cost).
     The images should maintain aspect ratio upon resize.
-    
-    Now displays the images stacked vertically with labels above them.
     """
     def __init__(self, main_window, parent=None):
         super().__init__(parent)
@@ -1114,21 +1113,55 @@ class MainWindow(QMainWindow):
         return gray
 
     def export_path(self):
+        """
+        Exports the path as a CSV in the format: x, y, TYPE,
+        ensuring that each anchor influences exactly one path point.
+        """
         full_xy = self.image_view.get_full_path_xy()
         if not full_xy:
             print("No path to export.")
             return
 
+        # We'll consider each anchor point as "USER-PLACED".
+        # But unlike a distance-threshold approach, we assign each anchor
+        # to exactly one closest path point.
+        anchor_points = self.image_view.anchor_points
+
+        # For each anchor, find the index of the closest path point
+        user_placed_indices = set()
+        for ax, ay in anchor_points:
+            min_dist = float('inf')
+            closest_idx = None
+            for i, (px, py) in enumerate(full_xy):
+                dist = math.hypot(px - ax, py - ay)
+                if dist < min_dist:
+                    min_dist = dist
+                    closest_idx = i
+            if closest_idx is not None:
+                user_placed_indices.add(closest_idx)
+
+        # Ask user for the CSV filename
         options = QFileDialog.Options()
         file_path, _ = QFileDialog.getSaveFileName(
             self, "Export Path", "",
-            "NumPy Files (*.npy);;All Files (*)",
+            "CSV Files (*.csv);;All Files (*)",
             options=options
         )
-        if file_path:
-            arr = np.array(full_xy)
-            np.save(file_path, arr)
-            print(f"Exported path with {len(arr)} points to {file_path}")
+        if not file_path:
+            return
+
+        import csv
+        with open(file_path, 'w', newline='') as csvfile:
+            writer = csv.writer(csvfile)
+            writer.writerow(["x", "y", "TYPE"])
+
+            for i, (x, y) in enumerate(full_xy):
+                ptype = "USER-PLACED" if i in user_placed_indices else "PATH"
+                writer.writerow([x, y, ptype])
+
+        print(f"Exported path with {len(full_xy)} points to {file_path}")
+
+
 
     def clear_points(self):
         self.image_view.clear_guide_points()