Cut Text/Sol/Persp into smaller parts, and use them

correction.py

@@ -117,7 +117,8 @@ list \"feedback\", and possibly an \"error\". Like this example :
  }
 ]
 
-Here is the text of the exercice of the exam :
+Here is the text of the exercice (or the relevant part of the problem)
+of the exam :
 
 ```
 <<text>>
@@ -127,25 +128,31 @@ Here is a possible correct answer :
 
 ```
 <<corr>>
-```
-
-Here is some additional scoring instructions :
-
 ```
 <<persp>>
-```
 
 You are asked to score the question or exercice labeled `<<label>>`,
 do not score or give feedback to any other question."""
 
 def make_prompt(full_label):
-    l = full_label.split(" ")
-    ex_label = l[0] + " " + l[1]
-    text = (Path(INPUT_DIR) / "Text" / ex_label).read_text()
-    corr = (Path(INPUT_DIR) / "Sol" / ex_label).read_text()
-    persp = (Path(INPUT_DIR) / "Persp" / ex_label).read_text()
-    if persp == "":
-        perps = "There is no additional scoring instructions."
+    # l = full_label.split(" ")
+    # ex_label = l[0] + " " + l[1]
+    # text = (Path(INPUT_DIR) / "Text" / ex_label).read_text()
+    # corr = (Path(INPUT_DIR) / "Sol" / ex_label).read_text()
+    # persp = (Path(INPUT_DIR) / "Persp" / ex_label).read_text()
+    def read_longest_prefix_file(subdir):
+        dir_path = Path(INPUT_DIR) / subdir
+        matches = [f for f in dir_path.iterdir() if f.is_file() and full_label.startswith(f.name)]
+        if not matches:
+            return ""
+        return max(matches, key=lambda f: len(f.name)).read_text()
+
+    text = read_longest_prefix_file("Text")
+    corr = read_longest_prefix_file("Sol")
+    persp = read_longest_prefix_file("Persp")
+
+    if persp != "":
+        persp = "\n\nHere are additional scoring instructions : \n\n```\n" + persp +"\n```\n"
     return my_prompt.replace("<<text>>", text).replace("<<corr>>", corr).replace("<<persp>>", persp).replace("<<label>>", full_label)
 
 from google import genai