[AUTO] Fix scatter plot zoom and show_all_labels applied to main

#34
Files changed (2) hide show
  1. simple_data_loader.py +1 -2
  2. ui_components.py +10 -16
simple_data_loader.py CHANGED
@@ -245,6 +245,7 @@ class SimpleLeaderboardViewer:
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  'acp-claude': 'Claude Code',
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  'acp-codex': 'Codex',
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  'acp-gemini': 'Gemini CLI',
 
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  }
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  alt_dir = self.config_path / "alternative_agents"
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  if alt_dir.exists():
@@ -252,8 +253,6 @@ class SimpleLeaderboardViewer:
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  if not type_dir.is_dir():
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  continue
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  default_name = agent_type_default_name.get(type_dir.name)
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- if default_name is None:
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- continue # skip unlisted agent types (e.g. openhands_subagents)
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  for agent_dir in type_dir.iterdir():
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  if not agent_dir.is_dir():
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  continue
 
245
  'acp-claude': 'Claude Code',
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  'acp-codex': 'Codex',
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  'acp-gemini': 'Gemini CLI',
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+ 'openhands_subagents': 'OpenHands Sub-agents',
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  }
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  alt_dir = self.config_path / "alternative_agents"
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  if alt_dir.exists():
 
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  if not type_dir.is_dir():
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  continue
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  default_name = agent_type_default_name.get(type_dir.name)
 
 
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  for agent_dir in type_dir.iterdir():
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  if not agent_dir.is_dir():
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  continue
ui_components.py CHANGED
@@ -954,7 +954,7 @@ def create_leaderboard_display(
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  if not new_df.empty:
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  new_transformer = DataTransformer(new_df, new_tag_map)
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  new_df_view_full, _ = new_transformer.view(tag=category_name, use_plotly=True)
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-
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  # Prepare both complete and all entries versions
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  if 'Categories Attempted' in new_df_view_full.columns:
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  new_df_view_complete = new_df_view_full[new_df_view_full['Categories Attempted'] == '5/5'].copy()
@@ -1014,22 +1014,16 @@ def create_leaderboard_display(
1014
 
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  # Connect the timer to the refresh function
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  if show_incomplete_checkbox is not None:
 
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  if show_open_only_checkbox is not None:
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- refresh_timer.tick(
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- fn=check_and_refresh_data,
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- inputs=[show_incomplete_checkbox, show_open_only_checkbox, mark_by_dropdown, show_all_labels_checkbox],
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- outputs=[dataframe_component, cost_plot_component, runtime_plot_component]
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- )
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- else:
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- # No open/closed split in this dataset — gr.State can't fill the gap in a
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- # timer tick (no session context), so use a wrapper that fixes show_open_only=False.
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- def _timer_refresh_no_open(show_incomplete, mark_by, show_all_labels):
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- return check_and_refresh_data(show_incomplete, False, mark_by, show_all_labels)
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- refresh_timer.tick(
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- fn=_timer_refresh_no_open,
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- inputs=[show_incomplete_checkbox, mark_by_dropdown, show_all_labels_checkbox],
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- outputs=[dataframe_component, cost_plot_component, runtime_plot_component]
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- )
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  else:
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  # If no incomplete checkbox, always show all data (but still filter by open if needed)
1035
  def check_and_refresh_all(show_open_only=False, mark_by=MARK_BY_DEFAULT, show_all_labels=False):
 
954
  if not new_df.empty:
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  new_transformer = DataTransformer(new_df, new_tag_map)
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  new_df_view_full, _ = new_transformer.view(tag=category_name, use_plotly=True)
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+
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  # Prepare both complete and all entries versions
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  if 'Categories Attempted' in new_df_view_full.columns:
960
  new_df_view_complete = new_df_view_full[new_df_view_full['Categories Attempted'] == '5/5'].copy()
 
1014
 
1015
  # Connect the timer to the refresh function
1016
  if show_incomplete_checkbox is not None:
1017
+ timer_inputs = [show_incomplete_checkbox]
1018
  if show_open_only_checkbox is not None:
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+ timer_inputs.append(show_open_only_checkbox)
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+ timer_inputs.append(mark_by_dropdown) # Always include mark_by
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+ timer_inputs.append(show_all_labels_checkbox)
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+ refresh_timer.tick(
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+ fn=check_and_refresh_data,
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+ inputs=timer_inputs,
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+ outputs=[dataframe_component, cost_plot_component, runtime_plot_component]
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+ )
 
 
 
 
 
 
 
1027
  else:
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  # If no incomplete checkbox, always show all data (but still filter by open if needed)
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  def check_and_refresh_all(show_open_only=False, mark_by=MARK_BY_DEFAULT, show_all_labels=False):