refactor ipl 2025

app.py

@@ -386,18 +386,14 @@ ADMIN_PASSPHRASE = "admin123"
 def fetch_latest_predictions(match_id):
     # Load the dataset. Adjust "split" to "train" or appropriate if "predictions" is a configuration.
     dataset = load_dataset("Jay-Rajput/DIS_IPL_Preds", split="train")
-
     # Convert the dataset to a pandas DataFrame
     df = pd.DataFrame(dataset)
-
     # Ensure the DataFrame is not empty and contains the required columns
     if not df.empty and {'user_name', 'match_id'}.issubset(df.columns):
         # Filter rows by 'match_id'
         filtered_df = df[df['match_id'] == match_id]
-
         # Drop duplicate rows based on 'user_name'
         unique_df = filtered_df.drop_duplicates(subset=['user_name'])
-
         return unique_df
     else:
         return pd.DataFrame()
@@ -432,7 +428,7 @@ def update_leaderboard_and_outcomes(match_id, winning_team, man_of_the_match, ou
         # Update user points based on prediction accuracy
         users_with_predictions = set(predictions['user_name'])
         for user_name in users_df.columns:
-            user_points = users_df[user_name][0]['0']
+            user_points = users_df[user_name][0]['points']
             if user_name in users_with_predictions:
                 prediction = predictions[predictions['user_name'] == user_name].iloc[0]
                 predicted_winner = prediction['predicted_winner']
@@ -454,7 +450,7 @@ def update_leaderboard_and_outcomes(match_id, winning_team, man_of_the_match, ou
                 user_points = 0
 
             # Update user's points in the DataFrame
-            users_df[user_name][0]['0'] = user_points
+            users_df[user_name][0]['points'] = user_points
 
         users.to_json(USERS_JSON)
         updated_dataset = Dataset.from_pandas(users_df)

matches.json

@@ -9,6 +9,16 @@
         ],
         "venue": "OTH"
     },
+    {
+        "match_id": "20250321_1",
+        "date": "2025-03-21",
+        "time": "12:00 PM",
+        "teams": [
+            "DIS",
+            "DIF"
+        ],
+        "venue": "OTH"
+    },
     {
         "match_id": "20250322_1",
         "date": "2025-03-22",