Create app.py

app.py

@@ -0,0 +1,100 @@
+import dash
+from dash import html, dcc
+import pandas as pd
+import plotly.graph_objects as go
+import random
+
+# Config
+AREAS = ['Kurnool', 'Hyderabad', 'Ballari', 'Gadwal']
+POLES_PER_AREA = 12
+ALERT_LEVELS = ['Green', 'Yellow', 'Red']
+
+def simulate_poles():
+    poles = []
+    for area in AREAS:
+        for i in range(1, POLES_PER_AREA + 1):
+            solar = round(random.uniform(3.0, 7.5), 2)
+            wind = round(random.uniform(0.5, 2.0), 2)
+            tilt = round(random.uniform(0, 10), 2)
+            vibration = round(random.uniform(0, 3), 2)
+            camera_status = random.choice(['Online', 'Offline'])
+            total_power = solar + wind
+            required_power = 6.5
+            alert = 'Green'
+            if total_power < 4 or tilt > 6 or vibration > 2.5:
+                alert = 'Yellow'
+            if total_power < 3 or tilt > 8 or vibration > 2.8:
+                alert = 'Red'
+            poles.append({
+                'Area': area,
+                'Pole': f'P{i}',
+                'Solar (kWh)': solar,
+                'Wind (kWh)': wind,
+                'Power Total': total_power,
+                'Tilt (°)': tilt,
+                'Vibration (g)': vibration,
+                'Camera': camera_status,
+                'Alert': alert
+            })
+    return pd.DataFrame(poles)
+
+df = simulate_poles()
+
+# Convert alerts to numeric levels for color scale
+alert_map = {'Green': 1, 'Yellow': 2, 'Red': 3}
+df['AlertLevel'] = df['Alert'].map(alert_map)
+
+def create_alert_heatmap(df):
+    pivot_df = df.pivot(index='Area', columns='Pole', values='AlertLevel')
+    color_scale = [
+        [0, "green"],
+        [0.5, "yellow"],
+        [1.0, "red"]
+    ]
+    fig = go.Figure(data=go.Heatmap(
+        z=pivot_df.values,
+        x=pivot_df.columns,
+        y=pivot_df.index,
+        colorscale=color_scale,
+        zmin=1,
+        zmax=3,
+        showscale=False,
+        hovertemplate="Pole: %{x}<br>Area: %{y}<br>Alert Level: %{z}<extra></extra>"
+    ))
+    fig.update_layout(title="Smart Pole Alert Heatmap", height=500)
+    return fig
+
+app = dash.Dash(__name__)
+server = app.server  # Required for Hugging Face
+
+app.layout = html.Div([
+    html.H1("Vedavathi Smart Pole Monitoring", style={"textAlign": "center"}),
+
+    dcc.Graph(figure=create_alert_heatmap(df)),
+
+    html.Div([
+        html.H3("🚨 Red Alert Poles", style={"color": "red", "textAlign": "center"}),
+        html.Div([
+            html.Span(f"{row['Area']} - {row['Pole']}", style={
+                "animation": "blinker 1s linear infinite",
+                "color": "red",
+                "fontWeight": "bold",
+                "fontSize": "18px",
+                "margin": "8px",
+                "display": "inline-block"
+            })
+            for _, row in df[df["Alert"] == "Red"].iterrows()
+        ], style={"textAlign": "center"})
+    ]),
+
+    dcc.Markdown('''
+    <style>
+    @keyframes blinker {
+        50% { opacity: 0; }
+    }
+    </style>
+    ''', dangerously_allow_html=True)
+])
+
+if __name__ == "__main__":
+    app.run_server(debug=False, host="0.0.0.0", port=7860)