Update app.py

app.py

@@ -725,7 +725,7 @@ st.markdown(f"""
 # """, unsafe_allow_html=True)
 st.markdown("""
 <h3 class="objective-title">OBJECTIVE 3: Alarm Frequency Analysis — When, Where, and Which Tyres Matter Most?</h3>
-<small>*Showing all alarm types: Normal, Amber, Red</small>
+<small>*Showing all alarm types: Normal (Green), Amber (Yellow), Red (Red)</small>
 """, unsafe_allow_html=True)
 
 # Filter semua data (termasuk alarm normal)
@@ -740,11 +740,11 @@ with col_b:
     if alarm_data.empty:
         st.warning("No data to display.")
     else:
-        # Group alarm status
+        # Group alarm status sesuai permintaan Anda
         alarm_data['Alarm_Category'] = alarm_data['Alarm Status'].apply(
-            lambda x: 'Normal' if 'No Alarm' in x
-            else 'Amber Alarm' if 'Amber' in x
-            else 'Red Alarm'
+            lambda x: 'Normal' if x == 'No Alarm'
+            else 'Red Alarm' if x == 'Red High Pressure'
+            else 'Amber Alarm'  # Semua selain No Alarm dan Red High Pressure
         )
 
         # Buat 4 donut chart
@@ -763,7 +763,12 @@ with col_b:
                 values = counts.values.tolist()
 
                 # Warna: Hijau (Normal), Kuning (Amber), Merah (Red)
-                colors = ['#2E7D32', '#FFC107', '#D32F2F']
+                color_map = {
+                    'Normal': '#2E7D32',      # Hijau
+                    'Amber Alarm': '#FFC107', # Kuning
+                    'Red Alarm': '#D32F2F'    # Merah
+                }
+                colors = [color_map[label] for label in labels]
 
                 fig_donut.add_trace(
                     go.Pie(
@@ -820,8 +825,12 @@ with col_a:
                     lambda x: x.mode().iloc[0] if not x.empty else 'Normal'
                 ).reindex(range(24), fill_value='Normal')
 
-                # Map warna
-                color_map = {'Normal': '#2E7D32', 'Amber Alarm': '#FFC107', 'Red Alarm': '#D32F2F'}
+                # Map warna sesuai permintaan Anda
+                color_map = {
+                    'Normal': '#2E7D32',      # Hijau
+                    'Amber Alarm': '#FFC107', # Kuning
+                    'Red Alarm': '#D32F2F'    # Merah
+                }
                 colorscale = [color_map.get(cat, '#2E7D32') for cat in dominant_alarm_per_hour]
 
                 # Sudut: jam 0 → 0° (atas), jam 6 → 90° (kanan), jam 12 → 180° (bawah), jam 18 → 270° (kiri)
@@ -877,9 +886,10 @@ else:
     dominant_pct = (top_bands.iloc[0] / band_counts.sum() * 100) if len(top_bands) > 0 else 0
     second_pct = (top_bands.iloc[1] / band_counts.sum() * 100) if len(top_bands) > 1 else 0
 
-    normal_alarms = alarm_data[alarm_data['Alarm_Status'] == 'No Alarm'].shape[0] if 'Alarm_Status' in alarm_data.columns else 0
-    amber_alarms = alarm_data[alarm_data['Alarm_Status'].str.contains('Amber', na=False)].shape[0] if 'Alarm_Status' in alarm_data.columns else 0
-    red_alarms = alarm_data[alarm_data['Alarm_Status'].str.contains('Red', na=False)].shape[0] if 'Alarm_Status' in alarm_data.columns else 0
+    # Hitung jumlah masing-masing jenis alarm
+    normal_alarms = alarm_data[alarm_data['Alarm Status'] == 'No Alarm'].shape[0]
+    red_alarms = alarm_data[alarm_data['Alarm Status'] == 'Red High Pressure'].shape[0]
+    amber_alarms = alarm_data[~alarm_data['Alarm Status'].isin(['No Alarm', 'Red High Pressure'])].shape[0]
 
     insight_lines = [
         f"• {dominant_band} is the dominant period ({dominant_pct:.1f}% of all data).",
@@ -896,6 +906,7 @@ st.markdown(f"""
     </div>
 </div>
 """, unsafe_allow_html=True)
+
 # ================= OBJECTIVE 3 =================
 st.markdown('<h3 class="objective-title">OBJECTIVE 4: Correlation — How Does Heat Influence Pressure and Which Tyres Trigger Red Alarms?</h3>', unsafe_allow_html=True)