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idolezal commited on
Commit
24ab55a
·
1 Parent(s): 1cfab55

Another try with bokeh2iframe()

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Files changed (3) hide show
  1. analyze_winscore.py +32 -0
  2. app.py +4 -0
  3. server.py +5 -5
analyze_winscore.py CHANGED
@@ -21,6 +21,38 @@ def bokeh2html(obj):
21
 
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  return bokeh_html
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  def bokeh2json(obj):
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  from bokeh.document import Document
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  return bokeh_html
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+ def bokeh2fullhtml(obj):
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+ from bokeh.embed import components
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+ from bokeh.resources import CDN
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+
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+ script, div = components(obj, CDN)
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+ bokeh_html = f"""<!DOCTYPE html>
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+ <html lang="en">
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+ <head>
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+ {CDN.render()}
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+ </head>
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+ <body>
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+ {div}
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+ {script}
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+ </body>
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+ </html>"""
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+
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+ return bokeh_html
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+
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+ def bokeh2iframe(obj):
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+ import html
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+
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+ srcdoc = bokeh2fullhtml(obj)
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+ srcdoc = html.escape(srcdoc)
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+
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+ return f'''
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+ <iframe
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+ srcdoc="{srcdoc}"
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+ width="100%" height="450"
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+ style="border:none;"
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+ ></iframe>
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+ '''
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+
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  def bokeh2json(obj):
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  from bokeh.document import Document
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app.py CHANGED
@@ -540,6 +540,10 @@ tr.row_odd {
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  justify-content: normal;
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  }
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  """
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  custom_js = """
 
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  justify-content: normal;
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  }
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+ .prose {
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+ max-width: none;
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+ }
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+
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  """
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  custom_js = """
server.py CHANGED
@@ -28,7 +28,7 @@ import pandas as pd
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  from huggingface_hub import HfApi, snapshot_download
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  from compare_significance import SUPPORTED_METRICS
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- from analyze_winscore import bokeh2html
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  VISIBLE_METRICS = SUPPORTED_METRICS + ["macro_f1"]
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@@ -377,12 +377,12 @@ class LeaderboardServer:
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  self.tournament_dataframes_csv = tournament_dataframes_csv
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  leaderboard_scatter_plots = {kind_of_p_value: {
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- category: bokeh2html(self._get_leaderboard_scatter_plot(category=category, kind_of_p_value=kind_of_p_value))
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  for category in categories
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  } for kind_of_p_value in self.KINDS_OF_P_VALUE}
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  leaderboard_heatmaps = {kind_of_p_value: {
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- category: bokeh2html(self._get_leaderboard_heatmap(category=category, kind_of_p_value=kind_of_p_value))
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  for category in categories
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  } for kind_of_p_value in self.KINDS_OF_P_VALUE}
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@@ -739,7 +739,7 @@ class LeaderboardServer:
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  with self.var_lock.ro:
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  return self.leaderboard_scatter_plots[kind_of_p_value][category]
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  else:
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- return bokeh2html(self._get_leaderboard_scatter_plot(pre_submit=pre_submit, category=category, kind_of_p_value=kind_of_p_value))
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  def _get_leaderboard_scatter_plot(self, pre_submit=None, category=None, kind_of_p_value=None):
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  import numpy as np
@@ -795,7 +795,7 @@ class LeaderboardServer:
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  with self.var_lock.ro:
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  return self.leaderboard_heatmaps[kind_of_p_value][category]
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  else:
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- return bokeh2html(self._get_leaderboard_heatmap(pre_submit=pre_submit, category=category, kind_of_p_value=kind_of_p_value))
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  def _get_leaderboard_heatmap(self, pre_submit=None, category=None, kind_of_p_value=None):
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  from analyze_winscore import get_ldb_records, create_heatmap
 
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  from huggingface_hub import HfApi, snapshot_download
29
 
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  from compare_significance import SUPPORTED_METRICS
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+ from analyze_winscore import bokeh2iframe
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  VISIBLE_METRICS = SUPPORTED_METRICS + ["macro_f1"]
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  self.tournament_dataframes_csv = tournament_dataframes_csv
378
 
379
  leaderboard_scatter_plots = {kind_of_p_value: {
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+ category: bokeh2iframe(self._get_leaderboard_scatter_plot(category=category, kind_of_p_value=kind_of_p_value))
381
  for category in categories
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  } for kind_of_p_value in self.KINDS_OF_P_VALUE}
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  leaderboard_heatmaps = {kind_of_p_value: {
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+ category: bokeh2iframe(self._get_leaderboard_heatmap(category=category, kind_of_p_value=kind_of_p_value))
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  for category in categories
387
  } for kind_of_p_value in self.KINDS_OF_P_VALUE}
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  with self.var_lock.ro:
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  return self.leaderboard_scatter_plots[kind_of_p_value][category]
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  else:
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+ return bokeh2iframe(self._get_leaderboard_scatter_plot(pre_submit=pre_submit, category=category, kind_of_p_value=kind_of_p_value))
743
 
744
  def _get_leaderboard_scatter_plot(self, pre_submit=None, category=None, kind_of_p_value=None):
745
  import numpy as np
 
795
  with self.var_lock.ro:
796
  return self.leaderboard_heatmaps[kind_of_p_value][category]
797
  else:
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+ return bokeh2iframe(self._get_leaderboard_heatmap(pre_submit=pre_submit, category=category, kind_of_p_value=kind_of_p_value))
799
 
800
  def _get_leaderboard_heatmap(self, pre_submit=None, category=None, kind_of_p_value=None):
801
  from analyze_winscore import get_ldb_records, create_heatmap