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)