Update app.py

app.py

@@ -1526,75 +1526,51 @@ else:
                 xaxis=dict(tickangle=45)
             )
             return fig
-
-        # ===============================================================
-        # CHARTS
-        # ===============================================================
-        col1, col2 = st.columns(2)
-        with col1:
-            st.plotly_chart(plot_chart(top_ob, "OB HAULER Operators (Hazard Gradient)"), use_container_width=True)
-        with col2:
-            st.plotly_chart(plot_chart(top_coal, "HAULING COAL Operators (Hazard Gradient)"), use_container_width=True)
-
-        # ===============================================================
-        # AI INSIGHTS — tetap dalam bahasa Inggris, tanpa emoticon
-        # ===============================================================
-        col_insight1, col_insight2 = st.columns(2)
-
-        with col_insight1:
-            if not top_ob.empty:
-                st.markdown("### OB HAULER Analysis")
-                ob_worsening = len(top_ob[top_ob['slope'] > 0])
-                ob_improving = len(top_ob[top_ob['slope'] < 0])
-                ob_one_time = len(top_ob[top_ob['slope'] == 0])
-                ob_avg_risk = top_ob['weekly_avg'].mean()
-                ob_max_risk = top_ob['weekly_avg'].max()
-                ob_insights = []
-                if ob_worsening > ob_improving:
-                    ob_insights.append(f"{ob_worsening} out of 10 top risk operators are showing <span class='trend-up'>worsening</span> trends.")
-                else:
-                    ob_insights.append(f"{ob_improving} out of 10 top risk operators are showing <span class='trend-down'>improvement</span>.")
-                if ob_one_time > 0:
-                    ob_insights.append(f"{ob_one_time} operators are classified as <b>One Time Event</b> (single-week activity).")
-                ob_insights.append(f"Average risk: {ob_avg_risk:.2f} events/week (max: {ob_max_risk:.2f}).")
-
-                for insight in ob_insights:
-                    st.markdown(f"""
-                    <div class="ai-insight-box">
-                        <div class="ai-insight-title">Risk Summary</div>
-                        <p>{insight}</p>
-                    </div>
-                    """, unsafe_allow_html=True)
-            else:
-                st.info("No OB HAULER data for analysis.")
-
+            col_insight1, col_insight2 = st.columns(2)
+            with col_insight1:
+                if not top_ob.empty:
+                    st.markdown("### OB HAULER Hazard Analysis")
+                    ob_worsening = len(top_ob[top_ob['slope'] > 0])
+                    ob_improving = len(top_ob[top_ob['slope'] < 0])
+                    ob_one_time = len(top_ob[top_ob['slope'] == 0])
+                    ob_avg_risk = top_ob['weekly_avg'].mean()
+                    ob_max_risk = top_ob['weekly_avg'].max()
+
+        # Buat list 3 poin yang selalu ada, tanpa kondisional untuk jumlah poin
+            ob_insights = [
+            f"{ob_worsening} out of 10 top hazard operators are showing <span class='trend-up'>worsening</span> trends.",
+            f"{ob_one_time} operators are classified as <b>One Time Event</b> (single-week activity).",
+            f"Average hazard: {ob_avg_risk:.2f} events/week (max: {ob_max_risk:.2f})."
+        ]
+            for insight in ob_insights:
+            st.markdown(f"""
+            <div class="ai-insight-box">
+                <div class="ai-insight-title">Hazard Summary</div>
+                <p>{insight}</p>
+            </div>
+            """, unsafe_allow_html=True)
+    else:
+        st.info("No OB HAULER data for analysis.")
         with col_insight2:
             if not top_coal.empty:
-                st.markdown("### HAULING COAL Analysis")
+                st.markdown("### HAULING COAL Hazard Analysis")
                 coal_worsening = len(top_coal[top_coal['slope'] > 0])
                 coal_improving = len(top_coal[top_coal['slope'] < 0])
                 coal_one_time = len(top_coal[top_coal['slope'] == 0])
                 coal_avg_risk = top_coal['weekly_avg'].mean()
                 coal_max_risk = top_coal['weekly_avg'].max()
-                coal_insights = []
-                if coal_worsening > coal_improving:
-                    coal_insights.append(f"{coal_worsening} out of 10 top risk operators are showing <span class='trend-up'>worsening</span> trends.")
-                else:
-                    coal_insights.append(f"{coal_improving} out of 10 top risk operators are showing <span class='trend-down'>improvement</span>.")
-                if coal_one_time > 0:
-                    coal_insights.append(f"{coal_one_time} operators are classified as <b>One Time Event</b> (single-week activity).")
-                coal_insights.append(f"Average risk: {coal_avg_risk:.2f} events/week (max: {coal_max_risk:.2f}).")
-
+                coal_insights = [f"{coal_worsening} out of 10 top hazard operators are showing <span class='trend-up'>worsening</span> trends.",
+                                 f"{coal_one_time} operators are classified as <b>One Time Event</b> (single-week activity).",
+                                 f"Average hazard: {coal_avg_risk:.2f} events/week (max: {coal_max_risk:.2f})."]
                 for insight in coal_insights:
                     st.markdown(f"""
                     <div class="ai-insight-box">
-                        <div class="ai-insight-title">Risk Summary</div>
-                        <p>{insight}</p>
-                    </div>
-                    """, unsafe_allow_html=True)
-            else:
-                st.info("No HAULING COAL data for analysis.")
-
+                <div class="ai-insight-title">Hazard Summary</div>
+                <p>{insight}</p>
+            </div>
+            """, unsafe_allow_html=True)
+                    else:
+                    st.info("No HAULING COAL data for analysis.")
         # ===============================================================
         # RECOMMENDATIONS
         # ===============================================================