Update app.py

app.py

@@ -26,7 +26,8 @@ file_mapping = {
     "usdm": "usdm_trade_history.csv",
     "coinm": "coinm_trade_history.csv",
     "copyLeaderboard": "copyLeaderboard_trade_history.csv",
-    "okx": "okx_history.csv"
+    "okx": "okx_history.csv",
+    "buybit": "buybit.csv"
 }
 
 # Streamlit App
@@ -73,7 +74,8 @@ df['positionClosed'] = False
 
 if option =="copyLeaderboard":
     uid_input = int(st.text_input("Enter U_IDs to filter"))
-
+if option =="buybit":
+    uid_input = (st.text_input("Enter U_IDs to filter"))
 else:
         uid_input = str.upper(st.text_input("Enter U_IDs to filter"))
 
@@ -106,7 +108,11 @@ if df is not None and uid_input:
                         modified_positions = data['Modified']
                         # modified_positions = modified_positions[0]
                         if isinstance(modified_positions, dict) and 'amount' in modified_positions:
-                                    amount = modified_positions.get('amount')
+                                    if option =="okx":
+                                        print("reached")
+                                        amount = modified_positions.get('amount')/modified_positions.get('markPrice')
+                                    else:
+                                        amount = modified_positions.get('amount')
                                     if isinstance(amount, (int, float)):  # Check if amount is a number
                                         amounts =amount
                     # Check if 'ClosedTrades' key exists and extract amounts
@@ -114,7 +120,10 @@ if df is not None and uid_input:
                         closed_trades = data['ClosedTrades']
                         closed_trades =closed_trades[0]
                         if isinstance(closed_trades, dict) and 'amount' in closed_trades:
-                                    amount = closed_trades.get('amount')
+                                    if option == "okx":
+                                        amount = closed_trades.get('amount')/closed_trades.get('markPrice')
+                                    else:
+                                        amount = closed_trades.get('amount')
                                     if isinstance(amount, (int, float)):  # Check if amount is a number
                                         amounts = amount
 
@@ -158,7 +167,10 @@ if df is not None and uid_input:
                 symbol = trade_list[i]['symbol']
                 side  ="buy" if trade_list[i]['amount']>0 else "sell"
                 amount = trade_list[i]['amount']
-                symbol = trade_list[i]['symbol']     
+                if option =="okx":
+                    amount = trade_list[i]['amount']/trade_list[i]['markPrice']
+                else:
+                    symbol = trade_list[i]['symbol']     
                 trade_list[i]['side'] =side
                 trade_list[i]['changeInAmount'] = changeInAmount
                 trade_list[i]['i'] = i
@@ -176,7 +188,11 @@ if df is not None and uid_input:
                                 new_position = entry.get('NewPosition', {})
                                 # Extract symbol and amount
                                 symbol = new_position.get('symbol')
-                                amount = new_position.get('amount')
+                               
+                                if option =="okx":
+                                    amount = new_position.get('amount')/new_position.get('markPrice')
+                                else:
+                                    amount = new_position.get('amount')
                                 if option != "copyLeaderBoard":
                                     if start==False:
                                         start_time = new_position.get('updateTime')
@@ -426,7 +442,21 @@ if df is not None and uid_input:
     'Weighted Score Ratio': df_history['weightedScoreRatio'],  # New field
     'Transaction Value in USDT': df_history['amount'] * df_history['markPrice'],  # New calculation
     'Profit/Loss Ratio': (df_history['markPrice'] - df_history['entryPrice']) / df_history['entryPrice']  # New calculation
-})
+})          
+            if option == "okx":
+                 df_transformed = pd.DataFrame({
+                'Pair/Asset': df_history['symbol'],
+                'is long': df_history['side'],
+                'Current size after change': df_history['usdAmount'],
+                'Change in size in Asset': df_history['changeInAmount'],
+                'Change in size in USDT': df_history['changeInAmount'] * -(df_history['markPrice']),
+                'Entry price': df_history['entryPrice'],
+                'Exit price': df_history['markPrice'],
+                'pnl in usdt': df_history['pnl'],
+                'pnl in %': df_history['roe'],
+                'Leverage': df_history['leverage'],
+                'updatedTime': df_history['updateTime']
+            })
             
             if 'closed' in df_history.columns:
                 df_transformed['Position closed'] = df_history['closed']
@@ -479,6 +509,17 @@ if df is not None and uid_input:
                 key=button_key
                 ):
                     show_position_history(row['i'])
+
+            if option =="okx":
+                 if st.button(
+                f"{row['symbol']} : Long: {side}, Entry Price: {row['entryPrice']}, "
+                f"Market Price: {row['markPrice']}, Amount: {row['usdAmount']}, "
+                f"Leverage: {row['leverage']}, TradeTakenAt: {row['updateTime']}, "
+                f"lastUpdated: {lastUpdated(row['i'])}, isClosed: {is_closed}",
+                key=button_key
+                ):
+                    show_position_history(row['i'])
+
             else:
                 if st.button(
                     f"{row['symbol']} : Long: {side}, Entry Price: {row['entryPrice']}, "