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jarajpu commited on
Commit
cf0b0bc
·
1 Parent(s): 5eccd13

enhanced leaderboard

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Files changed (3) hide show
  1. app.py +7 -8
  2. leaders/users.json +1 -1
  3. users.json +1 -1
app.py CHANGED
@@ -398,8 +398,7 @@ def update_leaderboard_and_outcomes(match_id, winning_team, man_of_the_match):
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  outcomes = load_dataset("Jay-Rajput/DIS_IPL_Outcomes", split="train") # Load existing match outcomes
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  # Load existing match outcomes and user data from the test split
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- dataset = load_dataset("Jay-Rajput/DIS_IPL_Leads", split="train")
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- users = pd.DataFrame(dataset)
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  # Directly update or add the match outcome
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  outcome_exists = False
@@ -420,18 +419,18 @@ def update_leaderboard_and_outcomes(match_id, winning_team, man_of_the_match):
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  # Update points based on prediction accuracy
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  if predicted_winner == winning_team:
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- users[user_name] += 1000
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- users[user_name] += bid_points
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  if predicted_motm == man_of_the_match:
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- users[user_name] += 400 # Bonus for both correct predictions
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  else:
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- users[user_name] -= 200 + bid_points # Penalty for wrong team prediction
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  users.to_json(USERS_JSON)
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  outcomes.to_json(OUTCOMES)
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  # Convert the updated DataFrame back to a Hugging Face Dataset and push updates
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- updated_dataset = Dataset.from_pandas(users)
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- updated_dataset.push_to_hub("Jay-Rajput/DIS_IPL_Leads", split="train")
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  outcomes.push_to_hub("Jay-Rajput/DIS_IPL_Outcomes", split="train")
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  outcomes = load_dataset("Jay-Rajput/DIS_IPL_Outcomes", split="train") # Load existing match outcomes
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  # Load existing match outcomes and user data from the test split
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+ users = load_dataset("Jay-Rajput/DIS_IPL_Leads", split="train")
 
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  # Directly update or add the match outcome
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  outcome_exists = False
 
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  # Update points based on prediction accuracy
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  if predicted_winner == winning_team:
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+ users[user_name][0]['0'] += 1000
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+ users[user_name][0]['0'] += bid_points
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  if predicted_motm == man_of_the_match:
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+ users[user_name][0]['0'] += 400 # Bonus for both correct predictions
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  else:
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+ users[user_name][0]['0'] -= 200 + bid_points # Penalty for wrong team prediction
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  users.to_json(USERS_JSON)
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  outcomes.to_json(OUTCOMES)
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  # Convert the updated DataFrame back to a Hugging Face Dataset and push updates
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+ # updated_dataset = Dataset.from_pandas(users)
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+ users.push_to_hub("Jay-Rajput/DIS_IPL_Leads", split="train")
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  outcomes.push_to_hub("Jay-Rajput/DIS_IPL_Outcomes", split="train")
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leaders/users.json CHANGED
@@ -1 +1 @@
1
- {"Arpit":{"0":12840},"Ganesh":{"0":10251},"Haaris":{"0":20500},"Jay":{"0":11300},"Kishore":{"0":13320},"Megha":{"0":10550},"Naveein":{"0":11600},"Neha":{"0":7500},"Praveen":{"0":21418},"Rakesh":{"0":4900},"Sai":{"0":17284},"Sahil":{"0":17780},"Sunil":{"0":3718},"Vaibhav":{"0":4599},"Vinay":{"0":12399}}
 
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+ {"Arpit":{"0":22513},"Ganesh":{"0":10251},"Haaris":{"0":26200},"Jay":{"0":11500},"Kishore":{"0":13220},"Megha":{"0":19850},"Naveein":{"0":13200},"Neha":{"0":7500},"Praveen":{"0":23024},"Rakesh":{"0":4820},"Sai":{"0":22384},"Sahil":{"0":19880},"Sunil":{"0":5891},"Vaibhav":{"0":6318},"Vinay":{"0":17720}}
users.json CHANGED
@@ -1 +1 @@
1
- {"Arpit":{"0":12840},"Ganesh":{"0":10251},"Haaris":{"0":20500},"Jay":{"0":11300},"Kishore":{"0":13320},"Megha":{"0":10550},"Naveein":{"0":11600},"Neha":{"0":7500},"Praveen":{"0":21418},"Rakesh":{"0":4900},"Sai":{"0":17284},"Sahil":{"0":17780},"Sunil":{"0":3718},"Vaibhav":{"0":4599},"Vinay":{"0":12399}}
 
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+ {"Arpit":{"0":22513},"Ganesh":{"0":10251},"Haaris":{"0":26200},"Jay":{"0":11500},"Kishore":{"0":13220},"Megha":{"0":19850},"Naveein":{"0":13200},"Neha":{"0":7500},"Praveen":{"0":23024},"Rakesh":{"0":4820},"Sai":{"0":22384},"Sahil":{"0":19880},"Sunil":{"0":5891},"Vaibhav":{"0":6318},"Vinay":{"0":17720}}