Update app.py

app.py

@@ -163,38 +163,55 @@ def create_chart_analysis(interval, asset_name):
 def analyze_sentiment(asset_name):
     """Analyze market sentiment for selected asset"""
     try:
-        sentiment_score, news_summary = sentiment_analyzer.analyze_sentiment(asset_name)
+        ticker = asset_map[asset_name]
+        sentiment_score, news_summary = sentiment_analyzer.analyze_sentiment(ticker)
+        
+        # --- Modifikasi untuk tampilan Gauge yang lebih baik ---
         
         # Create sentiment gauge using matplotlib
         fig, ax = plt.subplots(figsize=(6, 4), facecolor='white')
         fig.patch.set_facecolor('white')
         
-        # Create gauge
-        ax.set_xlim(-1.5, 1.5)
-        ax.set_ylim(0, 1)
+        # Setup Gauge limits
+        ax.set_xlim(-1.1, 1.1) # Diperluas sedikit untuk label
+        ax.set_ylim(-0.2, 1.1) # Diperluas sedikit ke bawah untuk skor
         ax.set_aspect('equal')
         
-        # Draw gauge background
+        # Draw gauge background segments
         theta = np.linspace(np.pi, 0, 100)
-        ax.plot(np.cos(theta), np.sin(theta), color='lightgray', linewidth=10)
-        
-        # Draw colored regions
-        ax.fill_between(np.cos(theta[50:]), np.sin(theta[50:]), 0, 
-                       where=np.cos(theta[50:])<0, color='red', alpha=0.3)
-        ax.fill_between(np.cos(theta[25:75]), np.sin(theta[25:75]), 0, 
-                       color='gray', alpha=0.3)
-        ax.fill_between(np.cos(theta[:50]), np.sin(theta[:50]), 0, 
-                       where=np.cos(theta[:50])>0, color='green', alpha=0.3)
-        
-        # Draw needle
-        needle_angle = np.pi * (1 - (sentiment_score + 1) / 2)
-        ax.plot([0, 0.8*np.cos(needle_angle)], [0, 0.8*np.sin(needle_angle)], 
-               color='gold', linewidth=4)
-        
-        # Add score text
-        ax.text(0, -0.2, f"{sentiment_score:.2f}", ha='center', va='center', 
-               fontsize=16, color='black', weight='bold')
-        ax.set_title(f'{asset_name} Market Sentiment', color='black')
+        x, y = np.cos(theta), np.sin(theta)
+        
+        # Segments: Red (-1.0 to -0.5), Gray/Yellow (-0.5 to 0.5), Green (0.5 to 1.0)
+        ax.fill_between(x[75:], y[75:], 0, where=x[75:]<=-0.5, color='#F08080', alpha=0.9, linewidth=0) # Red (Bearish)
+        ax.fill_between(x[25:75], y[25:75], 0, color='#D3D3D3', alpha=0.9, linewidth=0) # Gray (Neutral)
+        ax.fill_between(x[:25], y[:25], 0, where=x[:25]>=0.5, color='#90EE90', alpha=0.9, linewidth=0) # Green (Bullish)
+
+        # Draw main arc line
+        ax.plot(x, y, color='#D3D3D3', linewidth=10, solid_capstyle='round', zorder=1)
+        
+        # Draw needle (using a small triangle/arrow)
+        needle_angle = np.pi * (1 - (sentiment_score + 1) / 2) # Angle from pi (180 deg) to 0 (0 deg)
+        needle_x = 0.8 * np.cos(needle_angle)
+        needle_y = 0.8 * np.sin(needle_angle)
+        
+        # Draw a line/needle for the pointer
+        ax.plot([0, needle_x], [0, needle_y], color='black', linewidth=3, zorder=3)
+        ax.plot([0], [0], marker='o', color='black', markersize=6, zorder=4)
+        
+        # Draw score number (similar to the image)
+        score_color = 'red' if sentiment_score < 0 else 'green' if sentiment_score > 0 else 'black'
+        ax.text(0, -0.15, f"{sentiment_score:+.3f}", ha='center', va='center', 
+               fontsize=24, color=score_color, weight='bold', zorder=5)
+        
+        # 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'{ticker} Market Sentiment (Simulated)', color='black', pad=20)
         
         # Remove axes
         ax.axis('off')