Michael Yuan commited on
Commit
6128e62
·
1 Parent(s): 40f0461

Reorganize functions

Browse files
Files changed (1) hide show
  1. app.py +36 -34
app.py CHANGED
@@ -11,6 +11,8 @@ USER_BLACKLIST = ["gdm", "necl", "ncel", "root"]
11
 
12
 
13
  def get_plot_df(df):
 
 
14
  df["users"] = df["users"].str.split(",")
15
 
16
  # Clean users list with "Free" as the empty placeholder value
@@ -18,7 +20,7 @@ def get_plot_df(df):
18
  lambda user_list: [u for u in user_list if u and u not in USER_BLACKLIST] or ["Free"]
19
  )
20
 
21
- # Construct a new DataFrame for the barplot
22
  new_df = []
23
  for _, row_series in df.iterrows():
24
  users_list = row_series["users"]
@@ -57,7 +59,36 @@ def username_to_hsl(username):
57
  return f"hsl({hue}, {saturation}%, {lightness}%)"
58
 
59
 
60
- def plot():
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
61
  fs = HfFileSystem()
62
 
63
  try:
@@ -82,48 +113,19 @@ def plot():
82
  return None, pd.DataFrame()
83
 
84
  df = pd.concat(df_list, ignore_index=True)
85
- df = df.fillna({"fan_speed": "N/A", "users": ""})
86
  df = get_plot_df(df)
87
 
88
- last_update_time = max(df["query_time"])
89
- last_update_time = datetime.fromisoformat(last_update_time).strftime("%Y-%m-%d %H:%M:%S")
90
-
91
- # Create the bar plot
92
- fig = go.Figure()
93
-
94
- for _, row_series in df.iterrows():
95
- fig.add_bar(
96
- x=[row_series["count"]],
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- y=[row_series["server"]],
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- orientation="h",
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- marker_color=username_to_hsl(row_series["username"]),
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- text=f"{row_series['index']}<br>{row_series['username']}",
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- insidetextanchor="middle",
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- hoverinfo="none",
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- )
104
-
105
- fig.update_layout(
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- barmode="stack",
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- title=f"Last Updated {last_update_time}",
108
- showlegend=False,
109
- xaxis_showticklabels=False,
110
- yaxis_categoryorder="category descending",
111
- )
112
 
113
- return fig, df
114
 
115
  except Exception as e:
116
  print(f"Global error in plot: {e}")
117
  return None, pd.DataFrame()
118
 
119
 
120
- def generate_interface():
121
- fig, df = plot()
122
- return fig, df
123
-
124
-
125
  demo = gr.Interface(
126
- fn=generate_interface,
127
  inputs=[],
128
  outputs=[
129
  gr.Plot(label="GPU Status", elem_classes="plotcss"),
 
11
 
12
 
13
  def get_plot_df(df):
14
+ df = df.fillna({"fan_speed": "N/A", "users": ""})
15
+
16
  df["users"] = df["users"].str.split(",")
17
 
18
  # Clean users list with "Free" as the empty placeholder value
 
20
  lambda user_list: [u for u in user_list if u and u not in USER_BLACKLIST] or ["Free"]
21
  )
22
 
23
+ # Construct a new DataFrame for the bar chart
24
  new_df = []
25
  for _, row_series in df.iterrows():
26
  users_list = row_series["users"]
 
59
  return f"hsl({hue}, {saturation}%, {lightness}%)"
60
 
61
 
62
+ def get_bar_chart(df):
63
+ last_update_time = max(df["query_time"])
64
+ last_update_time = datetime.fromisoformat(last_update_time).strftime("%Y-%m-%d %H:%M:%S")
65
+
66
+ # Create the bar chart
67
+ fig = go.Figure()
68
+
69
+ for _, row_series in df.iterrows():
70
+ fig.add_bar(
71
+ x=[row_series["count"]],
72
+ y=[row_series["server"]],
73
+ orientation="h",
74
+ marker_color=username_to_hsl(row_series["username"]),
75
+ text=f"{row_series['index']}<br>{row_series['username']}",
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+ insidetextanchor="middle",
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+ hoverinfo="none",
78
+ )
79
+
80
+ fig.update_layout(
81
+ barmode="stack",
82
+ title=f"Last Updated {last_update_time}",
83
+ showlegend=False,
84
+ xaxis_showticklabels=False,
85
+ yaxis_categoryorder="category descending",
86
+ )
87
+
88
+ return fig
89
+
90
+
91
+ def get_interface_elements():
92
  fs = HfFileSystem()
93
 
94
  try:
 
113
  return None, pd.DataFrame()
114
 
115
  df = pd.concat(df_list, ignore_index=True)
 
116
  df = get_plot_df(df)
117
 
118
+ plot = get_bar_chart(df)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
119
 
120
+ return plot, df
121
 
122
  except Exception as e:
123
  print(f"Global error in plot: {e}")
124
  return None, pd.DataFrame()
125
 
126
 
 
 
 
 
 
127
  demo = gr.Interface(
128
+ fn=get_interface_elements,
129
  inputs=[],
130
  outputs=[
131
  gr.Plot(label="GPU Status", elem_classes="plotcss"),