points redistribution

app.py

@@ -355,7 +355,7 @@ def redistribute_lost_points(match_id) -> dict:
 
     # Record this match as done
     done_matches.append(match_id)
-    with open(REDISTRIBUTED_JSON, "w") as f:
+    with open(BONUS_JSON, "w") as f:
         json.dump(done_matches, f, indent=2)
 
     return bonus_map
@@ -367,25 +367,25 @@ def display_leaderboard():
             dataset = load_dataset("Jay-Rajput/DIS_IPL_Leads", split='train')
             
             # Load outcomes data from HF instead of local file
-            outcome_dataset = load_dataset("Jay-Rajput/DIS_IPL_Outcomes", split='train')
-            latest_match_id = outcome_dataset[-1]["match_id"] if outcome_dataset else None
+            # outcome_dataset = load_dataset("Jay-Rajput/DIS_IPL_Outcomes", split='train')
+            # latest_match_id = outcome_dataset[-1]["match_id"] if outcome_dataset else None
 
-            # Redistribute points only once per match
-            bonus_map = {}
-            if latest_match_id:
-                bonus_map = redistribute_lost_points(latest_match_id)
+            # # Redistribute points only once per match
+            # bonus_map = {}
+            # if latest_match_id:
+            #     bonus_map = redistribute_lost_points(latest_match_id)
 
             users_data = []
             if dataset:
                 for user, points_dict in dataset[0].items():
                     points = points_dict.get("points", 0)
                     last_5_results = " ".join(points_dict.get("last_5_results", ["⚪"] * 5))  # Default: 5 white circles
-                    bonus = bonus_map.get(user, 0)
+                    # bonus = bonus_map.get(user, 0)
                     users_data.append({
                         'User': user,
                         'Points': points,
-                        'Last 5 Bids': last_5_results,
-                        'Redistribution Bonus': bonus
+                        'Last 5 Bids': last_5_results
+                        # 'Redistribution Bonus': bonus
                     })
             else:
                 st.warning("No leaderboard data found.")
@@ -399,7 +399,7 @@ def display_leaderboard():
             leaderboard['Rank'] = range(1, len(leaderboard) + 1)
             
             # Select and order the columns for display
-            leaderboard = leaderboard[['Rank', 'User', 'Points', 'Redistribution Bonus', 'Last 5 Bids']]
+            leaderboard = leaderboard[['Rank', 'User', 'Points', 'Last 5 Bids']]
             
             st.dataframe(leaderboard, hide_index=True)
         except Exception as e:

leaders/users.json

@@ -7,7 +7,7 @@
             "🔴",
             "🔴"
         ],
-        "points": 311,
+        "points": 1000,
         "wildcard": [
             0,
             0,
@@ -17,12 +17,12 @@
     "Ganesh": {
         "last_5_results": [
             "⚪",
-            "🔴",
             "⚪",
+            "🔴",
             "⚪",
             "⚪"
         ],
-        "points": 100,
+        "points": 1000,
         "wildcard": [
             0,
             0,
@@ -31,13 +31,13 @@
     },
     "Haaris": {
         "last_5_results": [
+            "⚪",
             "⚪",
             "🔴",
             "🔴",
-            "⚪",
             "⚪"
         ],
-        "points": 0,
+        "points": 1000,
         "wildcard": [
             0,
             0,
@@ -46,13 +46,13 @@
     },
     "Jay": {
         "last_5_results": [
-            "🟢",
             "🔴",
+            "🟢",
             "🔴",
             "🔴",
             "🔴"
         ],
-        "points": 6842,
+        "points": 7542,
         "wildcard": [
             0,
             0,
@@ -61,13 +61,13 @@
     },
     "Kishore": {
         "last_5_results": [
-            "🔴",
             "⚪",
             "🔴",
             "⚪",
-            "🟢"
+            "🔴",
+            "⚪"
         ],
-        "points": 17900,
+        "points": 18700,
         "wildcard": [
             0,
             0,
@@ -76,13 +76,13 @@
     },
     "Megha": {
         "last_5_results": [
+            "🟢",
             "🔴",
             "⚪",
             "🔴",
-            "🔴",
             "🔴"
         ],
-        "points": 6300,
+        "points": 10300,
         "wildcard": [
             0,
             0,
@@ -91,13 +91,13 @@
     },
     "Naveein": {
         "last_5_results": [
+            "🔴",
             "⚪",
             "🟢",
             "🔴",
-            "⚪",
-            "🟢"
+            "⚪"
         ],
-        "points": 18000,
+        "points": 18200,
         "wildcard": [
             0,
             0,
@@ -112,7 +112,7 @@
             "⚪",
             "⚪"
         ],
-        "points": 200,
+        "points": 1000,
         "wildcard": [
             0,
             0,
@@ -121,11 +121,11 @@
     },
     "Praveen": {
         "last_5_results": [
+            "🔴",
             "⚪",
             "⚪",
             "🔴",
-            "⚪",
-            "🔴"
+            "⚪"
         ],
         "points": 4300,
         "wildcard": [
@@ -136,13 +136,13 @@
     },
     "Rakesh": {
         "last_5_results": [
+            "🔴",
             "🔴",
             "🟢",
             "🟢",
-            "🔴",
-            "⚪"
+            "🔴"
         ],
-        "points": 4130,
+        "points": 4680,
         "wildcard": [
             0,
             0,
@@ -151,13 +151,13 @@
     },
     "Sai": {
         "last_5_results": [
+            "⚪",
             "🟢",
             "⚪",
             "🔴",
-            "🟢",
-            "🔴"
+            "🟢"
         ],
-        "points": 17808,
+        "points": 18608,
         "wildcard": [
             0,
             0,
@@ -166,13 +166,13 @@
     },
     "Sunil": {
         "last_5_results": [
-            "⚪",
             "🔴",
+            "⚪",
             "🔴",
             "🔴",
-            "⚪"
+            "🔴"
         ],
-        "points": 18140,
+        "points": 18829,
         "wildcard": [
             0,
             0,
@@ -181,13 +181,13 @@
     },
     "Vaibhav": {
         "last_5_results": [
+            "⚪",
             "⚪",
             "🔴",
             "🔴",
-            "⚪",
-            "🟢"
+            "⚪"
         ],
-        "points": 13300,
+        "points": 14100,
         "wildcard": [
             0,
             0,
@@ -196,13 +196,13 @@
     },
     "Vinay": {
         "last_5_results": [
+            "🔴",
             "🔴",
             "🟢",
             "🔴",
-            "⚪",
             "⚪"
         ],
-        "points": 5180,
+        "points": 5480,
         "wildcard": [
             0,
             0,
@@ -217,7 +217,7 @@
             "⚪",
             "⚪"
         ],
-        "points": 2300,
+        "points": 3100,
         "wildcard": [
             0,
             0,
@@ -232,7 +232,7 @@
             "⚪",
             "⚪"
         ],
-        "points": 200,
+        "points": 1000,
         "wildcard": [
             0,
             0,
@@ -242,12 +242,12 @@
     "Biswabarenya": {
         "last_5_results": [
             "⚪",
-            "🔴",
             "⚪",
+            "🔴",
             "⚪",
-            "🟢"
+            "⚪"
         ],
-        "points": 3300,
+        "points": 4100,
         "wildcard": [
             0,
             0,
@@ -256,13 +256,13 @@
     },
     "Naitik": {
         "last_5_results": [
+            "🔴",
             "🟢",
             "⚪",
             "🔴",
-            "🟢",
             "🟢"
         ],
-        "points": 23450,
+        "points": 23950,
         "wildcard": [
             0,
             0,
@@ -271,13 +271,13 @@
     },
     "Alekhya": {
         "last_5_results": [
+            "⚪",
             "⚪",
             "🟢",
             "🔴",
-            "🟢",
-            "⚪"
+            "🟢"
         ],
-        "points": 4700,
+        "points": 5500,
         "wildcard": [
             0,
             0,
@@ -289,10 +289,10 @@
             "⚪",
             "⚪",
             "⚪",
-            "🔴",
-            "⚪"
+            "⚪",
+            "🔴"
         ],
-        "points": 0,
+        "points": 1000,
         "wildcard": [
             0,
             0,
@@ -301,13 +301,13 @@
     },
     "Priyavrat Mohan": {
         "last_5_results": [
+            "🔴",
             "🟢",
             "🔴",
             "🔴",
-            "🟢",
-            "🔴"
+            "🟢"
         ],
-        "points": 10450,
+        "points": 11100,
         "wildcard": [
             0,
             0,
@@ -317,12 +317,12 @@
     "Satish": {
         "last_5_results": [
             "🟢",
-            "🔴",
             "🟢",
             "🔴",
+            "🟢",
             "🔴"
         ],
-        "points": 17300,
+        "points": 21300,
         "wildcard": [
             0,
             0,