Update app.py

Error Handling and more data

app.py

@@ -5,6 +5,10 @@ import pytz
 import yaml
 from tools.final_answer import FinalAnswerTool
 import yfinance as yf
+import logging
+
+# Set up logging
+logging.basicConfig(level=logging.INFO)
 
 from Gradio_UI import GradioUI
 
@@ -35,25 +39,40 @@ def get_current_time_in_timezone(timezone: str) -> str:
         return f"Error fetching time for timezone '{timezone}': {str(e)}"
 
 @tool
-def get_current_stock_price(ticker_symbol: str) -> float:
+def get_current_price(ticker_symbol: str) -> Optional[dict]:
     """
-    Fetches the latest stock price for the given ticker symbol.
+    Fetches the latest stock price for the given ticker symbol and calculates
+    the price change over the last 5 days.
+
     Args:
         ticker_symbol: The stock ticker symbol to fetch the price for.
+
     Returns:
-        float: The current stock price of the given ticker symbol.
+        dict: A dictionary containing the current stock price, the price change
+              over the last 5 days, and the percentage change. 
+              Returns None if there's an error or no data is available.
     """
     try:
+        # Fetch stock data
         stock = yf.Ticker(ticker_symbol)
-        stock_data = stock.history(period="1d")
+        stock_data = stock.history(period="5d")  # Fetch data for the last 5 days
         
         if stock_data.empty:
-            logger.warning(f"No data available for ticker symbol: {ticker_symbol}")
-            return None
-
-        current_price = stock_data['Close'].iloc[-1]  # Get the most recent close price
+            return {"error": f"No historical data available for {ticker_symbol}"}
+        
+        # Get the current price (last close price)
+        current_price = stock_data['Close'].iloc[-1]
+        
+        # Calculate the price change over the last 5 days
+        price_change = current_price - stock_data['Close'].iloc[0]
+        price_change_percent = (price_change / stock_data['Close'].iloc[0]) * 100
 
-        return float(current_price)
+        # Round all values to 2 decimal places
+        return {
+            "price": round(current_price, 2),
+            "price_change": round(price_change, 2),
+            "price_change_percent": round(price_change_percent, 2)
+        }
 
     except yf.exceptions.YFinanceException as yf_err:
         logger.error(f"YFinance error for {ticker_symbol}: {str(yf_err)}")