Update app.py

app.py

@@ -53,14 +53,30 @@ def analyze_stock(symbol, history_period, prediction_days=30):
     except Exception as e:
         print(f"Error analyzing {symbol}: {e}")
         empty_fig = gr.Plot.update(value=None)
-        # Pastikan error return juga mengandung q01 dan q09
+        
+        # Ambil harga terakhir untuk menghitung TP/SL yang tetap valid
+        try:
+            stock = yf.Ticker(symbol)
+            data = stock.history(period="1d", interval="1d")
+            last_price = data['Close'].iloc[-1] if not data.empty else 0
+        except:
+            last_price = 0
+
+        # Jika harga terakhir berhasil diambil, hitung TP/SL default
+        tp1_default = last_price * 1.005 # 0.5% dari last price
+        tp2_default = last_price * 1.01 # 1% dari last price
+        sl_default = last_price * 0.95
+
         empty_predictions = {
             "high_30d": 0,
             "low_30d": 0,
             "change_pct": 0,
-            "summary": "Prediction unavailable.",
+            "summary": f"Prediction unavailable. Model error: {e}", # Tampilkan error yang ditangkap
             "q01": [],
-            "q09": []
+            "q09": [],
+            "tp1": tp1_default,
+            "tp2": tp2_default,
+            "sl": sl_default,
         }
         return {}, {}, {}, empty_fig, empty_fig, empty_fig, empty_predictions
 
@@ -74,11 +90,16 @@ def update_analysis(symbol, history_period, prediction_days):
         fig_technical,
         fig_prediction,
         predictions,
-    ) = analyze_stock(symbol, history_period, prediction_days) # Mengoper history_period
+    ) = analyze_stock(symbol, history_period, prediction_days)
 
     if not fundamental_info:
+        # Jika fundamental gagal diambil (misalnya simbol salah), berikan pesan error umum
+        error_msg = f"Unable to fetch stock data for {symbol.upper()}. Please check the symbol."
+        # Gunakan prediksi yang dikembalikan (meski kosong) untuk mendapatkan TP/SL default
+        tp_sl_info = f"<b>TP1:</b> Rp{predictions.get('tp1', 0):,.2f}<br><b>TP2:</b> Rp{predictions.get('tp2', 0):,.2f}<br><b>Stop Loss:</b> Rp{predictions.get('sl', 0):,.2f}<br><br><b>Model Insight:</b><br>Data fetching failed. Cannot proceed with analysis."
+        
         return (
-            "Unable to fetch stock data.",
+            f"""<div style="color: red; padding: 10px; border: 1px solid red;">{error_msg}</div><br>{tp_sl_info}""",
             gr.Plot.update(value=None),
             gr.Plot.update(value=None),
             gr.Plot.update(value=None),
@@ -112,8 +133,8 @@ def update_analysis(symbol, history_period, prediction_days):
     """
     
     # Hitung Min/Max dari seluruh rentang kepercayaan (Q0.1 dan Q0.9)
-    band_min = float(min(predictions.get('q01', [0]))) if predictions.get('q01') else 0
-    band_max = float(max(predictions.get('q09', [0]))) if predictions.get('q09') else 0
+    band_min = float(min(predictions.get('q01', [0]))) if predictions.get('q01') and predictions.get('q01').size > 0 else 0
+    band_max = float(max(predictions.get('q09', [0]))) if predictions.get('q09') and predictions.get('q09').size > 0 else 0
 
     prediction = f"""
     <h4>30-DAY AI FORECAST (CHRONOS-2)</h4>