Move to real LaTeX rendering

reading_annotations.py

@@ -226,6 +226,7 @@ def apply_actions_and_regenerate(root_dir, data, student_id, actions, notes_laye
 
     # --- 2. Process Images (Cut notes, Regenerate, Concatenate) ---
     concat_list = []
+    concat_list_F = []
     d_notes = dict.fromkeys(all_labels, "")
 
     # Iterate over images defined in bnote.json to maintain order/geometry
@@ -235,7 +236,8 @@ def apply_actions_and_regenerate(root_dir, data, student_id, actions, notes_laye
 
         # Update scores dict
         content = labels_data[label]
-        d_notes[label] = str(content['result'].get('score', 0))
+        result = content['result']
+        d_notes[label] = str(result.get('score', 0))
 
         # A. Cut Manual Notes
         hmin, hmax = img_info["hmin"], img_info["hmax"]
@@ -272,6 +274,14 @@ def apply_actions_and_regenerate(root_dir, data, student_id, actions, notes_laye
 
         concat_list.append(final_img)
 
+        perfect_no_comment = True
+        if float(d_notes[label]) != 4.0:
+            perfect_no_comment = False
+        if len(result.get('feedback', [])) != 0:
+            perfect_no_comment = False
+        if not perfect_no_comment:
+            concat_list_F.append(final_img)
+
     # --- 3. Save Final Outputs ---
     with open(score_path, "w") as f:
         json.dump(d_notes, f, indent=4)
@@ -289,6 +299,18 @@ def apply_actions_and_regenerate(root_dir, data, student_id, actions, notes_laye
 
         full_img.save(os.path.join(output_dir, "Concat.jpg"))
         print(f"  Saved regenerated Concat.jpg")
+    if concat_list_F:
+        max_w = max(i.width for i in concat_list_F)
+        total_h = sum(i.height for i in concat_list_F)
+        full_img = Image.new("RGB", (max_w, total_h), "white")
+
+        y = 0
+        for img in concat_list_F:
+            full_img.paste(img, (0, y))
+            y += img.height
+
+        full_img.save(os.path.join(output_dir, "Concat_F.jpg"))
+        print(f"  Saved regenerated Concat_F.jpg")
 
 from pathlib import Path