Update app.py

app.py

@@ -517,33 +517,28 @@ def match_pdf_to_athlete(pdfs_data, athlete_name):
     best_score = 0
 
     for pdf in pdfs_data:
-        pdf_name_raw = pdf.get("athlete_name")
-        pdf_name = normalize_name(pdf_name_raw)
+        pdf_name = normalize_name(pdf.get("athlete_name"))
+        pdf_parts = set(pdf_name.split())
+
+        if not pdf_name:
+            continue
 
-        # 1) match exact
+        # match exact = priorité absolue
         if pdf_name == target:
             return pdf
 
-        # 2) match par mots communs
-        pdf_parts = set(pdf_name.split())
-        common_parts = target_parts.intersection(pdf_parts)
-        score = len(common_parts)
+        # score = nb de mots en commun
+        score = len(target_parts.intersection(pdf_parts))
 
         if score > best_score:
             best_score = score
             best_pdf = pdf
 
-        # 3) fallback si un nom contient l'autre
-        if target and pdf_name:
-            if target in pdf_name or pdf_name in target:
-                best_pdf = pdf
-                best_score = max(best_score, 1)
-
-    # si on a au moins 1 mot en commun, on accepte
-    if best_score >= 1:
+    # on n'accepte le match que si au moins 2 mots en commun
+    if best_score >= 2:
         return best_pdf
 
-    # fallback final : s'il n'y a qu'un seul PDF uploadé, on le prend
+    # si un seul PDF est chargé, on peut le prendre
     if len(pdfs_data) == 1:
         return pdfs_data[0]