Update matching.py

matching.py

@@ -9,21 +9,25 @@ def calculate_local_matches(
 ) -> List[Dict]:
     """
     Calculate local matches based on skill overlap.
-    Returns a list of dicts containing full profile info + score (0-1).
+    Returns scores normalized between 0.0 and 1.0
     """
-    matches = []
+
+    matches: List[Dict] = []
 
     for c in candidates:
         if c.id == current.id:
             continue
 
-        # Skill overlap score
-        score = 0
-        score += len(set(c.offers) & set(current.wants)) * 30
-        score += len(set(current.offers) & set(c.wants)) * 30
+        score_points = 0
+
+        # Candidate offers what current wants
+        score_points += len(set(c.offers) & set(current.wants)) * 30
+
+        # Current offers what candidate wants
+        score_points += len(set(current.offers) & set(c.wants)) * 30
 
-        # Normalize score to 0-1
-        score = min(1.0, score / 100)
+        # Normalize → max 100 points → 0.0–1.0
+        score = min(score_points / 100.0, 1.0)
 
         matches.append({
             "id": c.id,
@@ -31,9 +35,8 @@ def calculate_local_matches(
             "offers": c.offers,
             "wants": c.wants,
             "avatar": c.avatar,
-            "score": score,
+            "score": round(score, 3),   # ALWAYS 0–1
             "reason": "Local scoring"
         })
 
-    # Sort descending by score and return top_k
     return sorted(matches, key=lambda x: x["score"], reverse=True)[:top_k]