o2

app.py

@@ -95,6 +95,12 @@ def get_stock_prices(ticker: str, period: str = "3mo") -> Union[Dict, str]:
     """Fetches historical stock price data and technical indicators for a given ticker."""
     try:
         start, end = period_to_start_end(period)
+
+        # --- 除錯訊息開始 ---
+        print(f"[get_stock_prices] Downloading data for ticker={ticker}, period={period}")
+        print(f"[get_stock_prices] Start={start}, End={end}")
+        # --- 除錯訊息結束 ---
+
         data = yf.download(
             ticker,
             start=start,
@@ -102,6 +108,14 @@ def get_stock_prices(ticker: str, period: str = "3mo") -> Union[Dict, str]:
             interval='1d'
         )
 
+        # --- 除錯訊息：看資料長度與前幾筆 ---
+        print(f"[get_stock_prices] Fetched data shape={data.shape}")
+        if not data.empty:
+            print(f"[get_stock_prices] Head of data:\n{data.head()}")
+        else:
+            print("[get_stock_prices] No data returned from yfinance.")
+        # ---
+
         if data.empty:
             return {"error": f"No stock data found for {ticker}"}
 
@@ -122,24 +136,24 @@ def get_stock_prices(ticker: str, period: str = "3mo") -> Union[Dict, str]:
         # RSI
         rsi_series = RSIIndicator(df['Close'], window=14).rsi().iloc[-n:]
         indicators["RSI"] = {
-            str(date.date()): int(value) for date, value in rsi_series.dropna().items()
+            str(date.date()): float(value) for date, value in rsi_series.dropna().items()
         }
 
         # Stochastic
         sto_series = StochasticOscillator(df['High'], df['Low'], df['Close'], window=14).stoch().iloc[-n:]
         indicators["Stochastic_Oscillator"] = {
-            str(date.date()): int(value) for date, value in sto_series.dropna().items()
+            str(date.date()): float(value) for date, value in sto_series.dropna().items()
         }
 
         # MACD
         macd = MACD(df['Close'])
         macd_series = macd.macd().iloc[-n:]
         indicators["MACD"] = {
-            str(date.date()): int(value) for date, value in macd_series.items()
+            str(date.date()): float(value) for date, value in macd_series.items()
         }
         macd_signal_series = macd.macd_signal().iloc[-n:]
         indicators["MACD_Signal"] = {
-            str(date.date()): int(value) for date, value in macd_signal_series.items()
+            str(date.date()): float(value) for date, value in macd_signal_series.items()
         }
 
         # VWAP
@@ -150,7 +164,7 @@ def get_stock_prices(ticker: str, period: str = "3mo") -> Union[Dict, str]:
             volume=df['Volume']
         ).iloc[-n:]
         indicators["vwap"] = {
-            str(date.date()): int(value) for date, value in vwap_series.items()
+            str(date.date()): float(value) for date, value in vwap_series.items()
         }
 
         return {
@@ -158,14 +172,18 @@ def get_stock_prices(ticker: str, period: str = "3mo") -> Union[Dict, str]:
             "indicators": indicators
         }
     except Exception as e:
+        print(f"[get_stock_prices] Exception: {str(e)}")
         return f"Error fetching price data: {str(e)}"
 
 def get_financial_news(ticker: str) -> Union[Dict, str]:
     """Fetches the latest financial news related to a given ticker."""
     try:
+        print(f"[get_financial_news] Fetching news for ticker={ticker}")
         stock = yf.Ticker(ticker)
         news = stock.news  # 從 Yahoo Finance 獲取新聞
+
         if not news:
+            print("[get_financial_news] No news data returned from yfinance.")
             return {"news": "No recent news found."}
 
         # 只取最新5則新聞
@@ -177,15 +195,22 @@ def get_financial_news(ticker: str) -> Union[Dict, str]:
                 "link": item.get('link'),
                 "published_date": item.get('providerPublishTime')
             })
+
+        print(f"[get_financial_news] Found {len(latest_news)} news items.")
         return {"news": latest_news}
     except Exception as e:
+        print(f"[get_financial_news] Exception: {str(e)}")
         return f"Error fetching news: {str(e)}"
 
 def get_financial_metrics(ticker: str) -> Union[Dict, str]:
     """Fetches key financial ratios for a given ticker."""
     try:
+        print(f"[get_financial_metrics] Fetching financial metrics for ticker={ticker}")
         stock = yf.Ticker(ticker)
         info = stock.info
+        # --- 除錯訊息：打印完整 info 來檢查看看 ---
+        print(f"[get_financial_metrics] Info returned:\n{json.dumps(info, indent=2)}")
+
         return {
             'pe_ratio': info.get('forwardPE'),
             'price_to_book': info.get('priceToBook'),
@@ -193,6 +218,7 @@ def get_financial_metrics(ticker: str) -> Union[Dict, str]:
             'profit_margins': info.get('profitMargins')
         }
     except Exception as e:
+        print(f"[get_financial_metrics] Exception: {str(e)}")
         return f"Error fetching ratios: {str(e)}"
 
 def analyze_stock(api_key: str, ticker: str, period: str) -> str:
@@ -232,10 +258,13 @@ def analyze_stock(api_key: str, ticker: str, period: str) -> str:
 """
 
         # 呼叫 LLM 生成最終分析報告
+        print("[analyze_stock] Sending prompt to LLM...")
         response = llm.invoke(analysis_prompt)
+
         return response.content
 
     except Exception as e:
+        print(f"[analyze_stock] Exception: {str(e)}")
         return f"分析過程中發生錯誤: {str(e)}\n{traceback.format_exc()}"
 
 # --- Gradio 介面 ---