Sanjayraju30 commited on
Commit
a8dd4c3
·
verified ·
1 Parent(s): f65da37

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +16 -20
app.py CHANGED
@@ -1,8 +1,7 @@
1
  import dash
2
- from dash import dcc, html
3
- import pandas as pd
4
- import numpy as np
5
  import plotly.graph_objects as go
 
6
  import random
7
 
8
  # Constants
@@ -10,39 +9,37 @@ SITES = ['Hyderabad', 'Kurnool', 'Bangalore', 'Warangal']
10
  POLES_PER_SITE = 12
11
  ALERT_THRESHOLD = 80
12
 
13
- # Generate sample pole data
14
  def generate_data():
15
  data = []
16
  for site in SITES:
17
- for pole in range(1, POLES_PER_SITE + 1):
18
- status = random.randint(0, 100)
19
- data.append({'Site': site, 'Pole': f'P{pole}', 'Status': status})
 
 
 
20
  return pd.DataFrame(data)
21
 
22
  df = generate_data()
23
 
24
- # Create heatmap figure
25
- def create_heatmap(dataframe):
26
- pivot_df = dataframe.pivot(index='Site', columns='Pole', values='Status')
27
  fig = go.Figure(data=go.Heatmap(
28
  z=pivot_df.values,
29
  x=pivot_df.columns,
30
  y=pivot_df.index,
31
  colorscale="Viridis",
32
- colorbar=dict(title="Status"),
33
  zmin=0,
34
  zmax=100
35
  ))
36
  fig.update_layout(title="Pole Status Heatmap", height=500)
37
  return fig
38
 
39
- # Dash app setup
40
  app = dash.Dash(__name__)
41
- server = app.server # for Hugging Face Spaces
42
 
43
- # App layout
44
  app.layout = html.Div([
45
- html.H1("Pole Management Dashboard", style={'textAlign': 'center'}),
46
  dcc.Graph(figure=create_heatmap(df)),
47
 
48
  html.Div([
@@ -52,8 +49,8 @@ app.layout = html.Div([
52
  "animation": "blinker 1s linear infinite",
53
  "color": "red",
54
  "fontWeight": "bold",
55
- "fontSize": "20px",
56
- "margin": "10px",
57
  "display": "inline-block"
58
  })
59
  for _, row in df[df["Status"] > ALERT_THRESHOLD].iterrows()
@@ -69,6 +66,5 @@ app.layout = html.Div([
69
  ''', dangerously_allow_html=True)
70
  ])
71
 
72
- # Run server
73
- if __name__ == '__main__':
74
- app.run_server(debug=False, host='0.0.0.0', port=7860)
 
1
  import dash
2
+ from dash import html, dcc
 
 
3
  import plotly.graph_objects as go
4
+ import pandas as pd
5
  import random
6
 
7
  # Constants
 
9
  POLES_PER_SITE = 12
10
  ALERT_THRESHOLD = 80
11
 
 
12
  def generate_data():
13
  data = []
14
  for site in SITES:
15
+ for i in range(1, POLES_PER_SITE + 1):
16
+ data.append({
17
+ "Site": site,
18
+ "Pole": f"P{i}",
19
+ "Status": random.randint(0, 100)
20
+ })
21
  return pd.DataFrame(data)
22
 
23
  df = generate_data()
24
 
25
+ def create_heatmap(df):
26
+ pivot_df = df.pivot(index="Site", columns="Pole", values="Status")
 
27
  fig = go.Figure(data=go.Heatmap(
28
  z=pivot_df.values,
29
  x=pivot_df.columns,
30
  y=pivot_df.index,
31
  colorscale="Viridis",
 
32
  zmin=0,
33
  zmax=100
34
  ))
35
  fig.update_layout(title="Pole Status Heatmap", height=500)
36
  return fig
37
 
 
38
  app = dash.Dash(__name__)
39
+ server = app.server # For Hugging Face Spaces
40
 
 
41
  app.layout = html.Div([
42
+ html.H1("Pole Management Dashboard", style={"textAlign": "center"}),
43
  dcc.Graph(figure=create_heatmap(df)),
44
 
45
  html.Div([
 
49
  "animation": "blinker 1s linear infinite",
50
  "color": "red",
51
  "fontWeight": "bold",
52
+ "fontSize": "18px",
53
+ "margin": "8px",
54
  "display": "inline-block"
55
  })
56
  for _, row in df[df["Status"] > ALERT_THRESHOLD].iterrows()
 
66
  ''', dangerously_allow_html=True)
67
  ])
68
 
69
+ if __name__ == "__main__":
70
+ app.run_server(debug=False, host="0.0.0.0", port=7860)