Update app.py

app.py

@@ -28,11 +28,50 @@ def set_background(image_file):
     """
     st.markdown(page_bg, unsafe_allow_html=True)
 
+# Calculate grid load based on time and dataset
+def calculate_grid_load(df, current_time):
+    current_hour = current_time.hour
+    hourly_load = df[df["Time"].dt.hour == current_hour]["Grid Load (kW)"].mean()
+    return hourly_load
+
+# Create a gauge chart for grid load status
+def create_gauge(load_value):
+    ranges = [0, 2000, 3000, 4000]
+    colors = ['lightgreen', 'green', 'red']
+    labels = ['Low', 'Normal', 'High']
+    
+    if load_value < 2000:
+        color = colors[0]
+        range_label = labels[0]
+    elif load_value < 3000:
+        color = colors[1]
+        range_label = labels[1]
+    else:
+        color = colors[2]
+        range_label = labels[2]
+    
+    fig = go.Figure(go.Indicator(
+        mode="gauge+number+delta",
+        value=load_value,
+        domain={'x': [0, 1], 'y': [0, 1]},
+        gauge={
+            'axis': {'range': [0, 5000]},
+            'bar': {'color': color},
+            'steps': [
+                {'range': [0, 2000], 'color': 'lightgreen'},
+                {'range': [2000, 3000], 'color': 'green'},
+                {'range': [3000, 5000], 'color': 'red'}
+            ],
+        },
+        title={'text': f"Grid Load Status: {range_label}"},
+        delta={'reference': 2000}
+    ))
+    return fig
+
 # EV Connection Logic
 def manage_ev_connection():
     global feeders
     
-    # Check available slots in other feeders
     for feeder, data in feeders.items():
         available_slots = data["max_evs"] - data["connected_evs"]
         if available_slots > 0:
@@ -53,6 +92,10 @@ def display_grid_info():
     
     manage_ev_connection()
 
+    # Display the gauge chart based on load value
+    grid_load = sum([data["rated_load"] for data in feeders.values()])
+    st.plotly_chart(create_gauge(grid_load), use_container_width=True)
+
 # Main function
 def main():
     st.sidebar.title("EV Grid Load Optimization")