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import dash
from dash import dcc, html
import pandas as pd
import numpy as np
import plotly.graph_objects as go
import random
SITES = ['Hyderabad', 'Kurnool', 'Bangalore', 'Warangal']
POLES_PER_SITE = 12
ALERT_THRESHOLD = 80
def generate_data():
return pd.DataFrame([
{
'Site': site,
'Pole': f'P{pole}',
'Status': random.randint(0, 100)
}
for site in SITES
for pole in range(1, POLES_PER_SITE + 1)
])
df = generate_data()
def create_heatmap(df):
pivot_df = df.pivot(index="Site", columns="Pole", values="Status")
fig = go.Figure(data=go.Heatmap(
z=pivot_df.values,
x=pivot_df.columns,
y=pivot_df.index,
colorscale="Viridis",
colorbar=dict(title="Status"),
zmin=0,
zmax=100
))
fig.update_layout(title="Pole Status Heatmap", height=500)
return fig
app = dash.Dash(__name__)
server = app.server
app.layout = html.Div([
html.H1("Pole Management Dashboard", style={'textAlign': 'center'}),
dcc.Graph(figure=create_heatmap(df)),
html.Div([
html.Div("🚨 Red Alert Poles:", style={"fontWeight": "bold", "marginTop": "20px"}),
html.Div([
html.Span(f"{row['Site']} - {row['Pole']}", style={
"animation": "blinker 1s linear infinite",
"color": "red",
"fontWeight": "bold",
"fontSize": "20px",
"margin": "10px"
})
for _, row in df[df["Status"] > ALERT_THRESHOLD].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)
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