Create app.py

app.py

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+import dash
+from dash import dcc, html
+import plotly.express as px
+import pandas as pd
+import numpy as np
+
+# Define sites and poles
+sites = ['Hyderabad', 'Karnrol', 'Bangalore', 'Ongol']
+num_poles_per_site = 12
+
+# Generate random data
+data = []
+for site in sites:
+    for pole_id in range(1, num_poles_per_site + 1):
+        data.append({
+            'Site': site,
+            'Pole ID': f'Pole {pole_id}',
+            'Status': np.random.randint(0, 100)  # Simulated metric
+        })
+
+df = pd.DataFrame(data)
+
+# Pivot for heatmap
+heatmap_data = df.pivot(index='Site', columns='Pole ID', values='Status')
+
+# Create heatmap
+fig = px.imshow(
+    heatmap_data,
+    labels=dict(x="Pole ID", y="Site", color="Status"),
+    color_continuous_scale="Viridis"
+)
+
+# Dash App
+app = dash.Dash(__name__)
+app.title = "Pole Management Heatmap"
+
+app.layout = html.Div([
+    html.H1("Pole Management Heatmap", style={'textAlign': 'center'}),
+    dcc.Graph(figure=fig)
+])
+
+if __name__ == '__main__':
+    app.run_server(debug=True, host='0.0.0.0', port=7860)