Update app.py

app.py

@@ -9,7 +9,6 @@ from model_handler import ModelHandler
 from trading_logic import TradingLogic
 import io
 import base64
-import plotly.graph_objects as go # <--- TAMBAHAN INI
 
 # Global instances
 data_processor = DataProcessor()
@@ -165,72 +164,78 @@ def analyze_sentiment(asset_name):
     """Analyze market sentiment for selected asset"""
     try:
         ticker = asset_map[asset_name]
+        # FIX: Memanggil fungsi yang benar dari sentiment_analyzer.py
         sentiment_score, news_summary = sentiment_analyzer.analyze_market_sentiment(ticker)
         
-        # --- Implementasi Plotly Gauge (Disesuaikan agar mirip gambar) ---
+        # --- Implementasi Matplotlib Gauge (Sesuai Gambar Referensi) ---
         
-        # Warna berdasarkan Ticker (dari sentiment_analyzer.py)
-        if ticker == "BTC-USD":
-            bar_color = "#FFA500" # Orange
-            pointer_color = "black"
-        else: # GC=F
-            bar_color = "#FFD700" # Gold
-            pointer_color = "black"
-
-        # Tentukan warna teks skor
+        # Create sentiment gauge using matplotlib
+        fig, ax = plt.subplots(figsize=(6, 4), facecolor='white')
+        fig.patch.set_facecolor('white')
+        
+        # Setup Gauge limits
+        ax.set_xlim(-1.1, 1.1)
+        ax.set_ylim(-0.2, 1.1) 
+        ax.set_aspect('equal')
+        
+        # Draw gauge background arc (light gray container)
+        theta = np.linspace(np.pi, 0, 100)
+        x, y = np.cos(theta), np.sin(theta)
+        
+        # Draw full light gray arc
+        ax.plot(x, y, color='lightgray', linewidth=10, solid_capstyle='round', zorder=1)
+        
+        # Segments (Matching the image)
+        # 1. Red: -1.0 to -0.5
+        ax.fill_between(x[75:], y[75:], 0, where=x[75:]<=-0.5, color='#F08080', alpha=0.9, linewidth=0, zorder=2) 
+        # 2. Yellow/Orange: -0.5 to 0.0
+        ax.fill_between(x[50:75], y[50:75], 0, where=x[50:75]<0, color='#FFD700', alpha=0.9, linewidth=0, zorder=2) 
+        # 3. Light Gray: 0.0 to 0.5 (Neutral)
+        ax.fill_between(x[25:50], y[25:50], 0, where=x[25:50]>0, color='#D3D3D3', alpha=0.9, linewidth=0, zorder=2)
+        # 4. Light Green: 0.5 to 1.0
+        ax.fill_between(x[:25], y[:25], 0, where=x[:25]>=0.5, color='#90EE90', alpha=0.9, linewidth=0, zorder=2)
+        
+        # Draw Needle (Pointer) - Mengikuti warna kuning pada gambar referensi
+        needle_angle = np.pi * (1 - (sentiment_score + 1) / 2)
+        needle_x = 0.8 * np.cos(needle_angle)
+        needle_y = 0.8 * np.sin(needle_angle)
+        
+        # Draw the Yellow/Gold needle/pointer
+        ax.plot([0, needle_x], [0, needle_y], color='gold', linewidth=6, solid_capstyle='round', zorder=5)
+        # Draw the black cap on the arc (untuk tampilan jarum)
+        ax.plot([needle_x], [needle_y], marker='|', color='black', markersize=15, markeredgewidth=2, zorder=6)
+        # Center black point (optional, tapi menambah detail)
+        ax.plot([0], [0], marker='o', color='black', markersize=8, zorder=7)
+        
+        # Draw score number (seperti gambar)
         score_color = 'red' if sentiment_score < 0 else 'green' if sentiment_score > 0 else 'black'
-
-        fig = go.Figure(go.Indicator(
-            mode="gauge+number",
-            value=sentiment_score,
-            domain={'x': [0, 1], 'y': [0, 1]},
-            title={'text': f"{ticker} Market Sentiment (Simulated)", 'font': {'size': 20, 'color': 'black'}},
-            # Delta dihapus agar tidak muncul panah di bawah skor, skor utama yang diubah warnanya
-            
-            gauge={
-                'axis': {'range': [-1, 1], 'tickwidth': 1, 'tickcolor': "black"},
-                
-                # JANGAN menggunakan bar color, kita menggunakan threshold dan steps untuk jarum
-                'bar': {'color': "rgba(0,0,0,0)"}, # Bar dibuat transparan agar terlihat segmen
-                
-                # Steps (Segments)
-                'steps': [
-                    {'range': [-1, -0.5], 'color': "rgba(255, 99, 71, 1.0)"}, # Merah (Bearish kuat)
-                    {'range': [-0.5, 0], 'color': "rgba(255, 223, 0, 1.0)"}, # Kuning (Bearish/Netral lemah)
-                    {'range': [0, 0.5], 'color': "rgba(211, 211, 211, 1.0)"}, # Abu-abu (Netral/Bullish lemah)
-                    {'range': [0.5, 1], 'color': "rgba(144, 238, 144, 1.0)"} # Hijau (Bullish kuat)
-                ],
-                
-                # Threshold digunakan untuk jarum/pointer
-                'threshold': {
-                    'line': {'color': pointer_color, 'width': 3},
-                    'thickness': 0.75,
-                    'value': sentiment_score
-                },
-                
-                # Outline diubah menjadi abu-abu
-                'bgcolor': "lightgray",
-                'bordercolor': "lightgray",
-                'borderwidth': 1
-            },
-            # Format Angka (mengganti warna angka utama)
-            number={'font': {'color': score_color, 'size': 50}, 'valueformat': '.3f'}
-        ))
-        
-        fig.update_layout(
-            template='plotly_white',
-            height=300,
-            # Mengganti warna background menjadi putih untuk menyatu dengan Gradio
-            paper_bgcolor='white', 
-            plot_bgcolor='white',
-            font=dict(color='black'),
-            margin=dict(l=10, r=10, t=50, b=10)
-        )
+        
+        # Score label: e.g., -0.123 (Font besar di tengah)
+        ax.text(0, -0.05, f"{sentiment_score:+.3f}", ha='center', va='center', 
+               fontsize=28, color=score_color, weight='bold', zorder=7)
+        
+        # Trend indicator (panah bawah/atas kecil di bawah skor)
+        trend_arrow = '▲' if sentiment_score > 0.0 else '▼' if sentiment_score < 0.0 else ''
+        ax.text(0.0, -0.18, f"{trend_arrow}{abs(sentiment_score):.3f}", ha='center', va='center', 
+               fontsize=14, color=score_color, zorder=7)
+        
+        # Add labels for the scale
+        ax.text(-1, 0, "-1", ha='center', va='top', fontsize=10, color='black')
+        ax.text(-0.5, 0.5, "-0.5", ha='center', va='center', fontsize=10, color='black')
+        ax.text(0, 1.05, "0", ha='center', va='bottom', fontsize=10, color='black')
+        ax.text(0.5, 0.5, "0.5", ha='center', va='center', fontsize=10, color='black')
+        ax.text(1, 0, "1", ha='center', va='top', fontsize=10, color='black')
+        
+        # Add Title
+        ax.set_title(f'{asset_name} Market Sentiment (Simulated)', color='black', pad=20)
+        
+        # Remove axes
+        ax.axis('off')
         
         return fig, news_summary
         
     except Exception as e:
-        # Return error plot (menggunakan Matplotlib untuk error fallback)
+        # Return error plot
         fig, ax = plt.subplots(figsize=(6, 4), facecolor='white')
         fig.patch.set_facecolor('white')
         ax.text(0.5, 0.5, f'Sentiment Error: {str(e)}', ha='center', va='center',