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3 colmuns summary
Browse files- summary_page.py +62 -36
summary_page.py
CHANGED
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@@ -13,7 +13,18 @@ def create_summary_page(df: pd.DataFrame, available_models: list[str]) -> plt.Fi
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ax.axis('off')
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return fig
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ax.set_facecolor('#000000')
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colors = {
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@@ -27,6 +38,11 @@ def create_summary_page(df: pd.DataFrame, available_models: list[str]) -> plt.Fi
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visible_model_count = 0
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max_y = 0
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for i, model_name in enumerate(available_models):
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if model_name not in df.index:
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continue
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@@ -62,64 +78,74 @@ def create_summary_page(df: pd.DataFrame, available_models: list[str]) -> plt.Fi
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if amd_total == 0 and nvidia_total == 0:
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continue
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#
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y_model_name = y_base # Model name above AMD bar
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y_amd_bar = y_base + 0.
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y_nvidia_bar = y_base + 0.
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max_y = max(max_y, y_nvidia_bar + 0.
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# Model name centered above the
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bar_length = 92
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ax.text(bar_length / 2 + left_0, y_model_name, f"{i} - {y_model_name} - {model_name.lower()}",
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ha='center', va='center', color='#FFFFFF',
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fontsize=
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# AMD label and bar on the same level
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ax.text(left_0 - 2, y_amd_bar, "amd", ha='right', va='center', color='#CCCCCC', fontsize=18, fontfamily='monospace', fontweight='normal')
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if amd_total > 0:
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# AMD bar starts
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left =
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for category in ['passed', 'failed', 'skipped', 'error']:
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if amd_stats[category] > 0:
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width = amd_stats[category] / amd_total *
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ax.barh(y_amd_bar, width, left=left, height=
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color=colors[category], alpha=0.9)
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if width >
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left += width
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else:
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ax.barh(y_amd_bar,
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ax.text(
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# NVIDIA label and bar
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ax.text(
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if nvidia_total > 0:
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# NVIDIA bar starts
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left =
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for category in ['passed', 'failed', 'skipped', 'error']:
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if nvidia_stats[category] > 0:
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width = nvidia_stats[category] / nvidia_total *
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ax.barh(y_nvidia_bar, width, left=left, height=
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color=colors[category], alpha=0.9)
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if width >
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left += width
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else:
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ax.barh(y_nvidia_bar,
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ax.text(
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# Increment counter for next visible model
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visible_model_count += 1
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# Style the axes to be completely invisible and span full width
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ax.set_xlim(
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ax.set_ylim(0, max_y)
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ax.set_xlabel('')
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ax.set_ylabel('')
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ax.axis('off')
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return fig
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# Calculate dimensions for N-column layout
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model_count = len(available_models)
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columns = 3
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rows = (model_count + columns - 1) // columns # Ceiling division
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# Figure dimensions - wider for 4 columns, height based on rows
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figure_width = 20 # Wider to accommodate 4 columns
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max_height = 12 # Maximum height in inches
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height_per_row = min(2.2, max_height / max(rows, 1))
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figure_height = min(max_height, rows * height_per_row + 2)
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fig, ax = plt.subplots(figsize=(figure_width, figure_height), facecolor='#000000')
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ax.set_facecolor('#000000')
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colors = {
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visible_model_count = 0
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max_y = 0
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# Column layout parameters
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column_width = 100 / columns # Each column takes 25% of width
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bar_width = column_width * 0.8 # 80% of column width for bars
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bar_margin = column_width * 0.1 # 10% margin on each side
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for i, model_name in enumerate(available_models):
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if model_name not in df.index:
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continue
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if amd_total == 0 and nvidia_total == 0:
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continue
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# Calculate position in 4-column grid
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col = visible_model_count % columns
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row = visible_model_count // columns
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# Calculate horizontal position for this column
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col_left = col * column_width + bar_margin
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col_center = col * column_width + column_width / 2
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# Calculate vertical position for this row
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vertical_spacing = height_per_row
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y_base = (1.5 + row) * vertical_spacing
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y_model_name = y_base # Model name above AMD bar
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y_amd_bar = y_base + vertical_spacing * 0.25 # AMD bar
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y_nvidia_bar = y_base + vertical_spacing * 0.54 # NVIDIA bar
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max_y = max(max_y, y_nvidia_bar + vertical_spacing * 0.3)
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# Model name centered above the bars in this column
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ax.text(col_center, y_model_name, model_name.lower(),
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ha='center', va='center', color='#FFFFFF',
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fontsize=16, fontfamily='monospace', fontweight='bold')
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# AMD label and bar in this column
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bar_height = min(0.4, vertical_spacing * 0.22) # Adjust bar height based on spacing
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label_x = col_left - 1 # Label position to the left of the bar
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ax.text(label_x, y_amd_bar, "amd", ha='right', va='center', color='#CCCCCC', fontsize=14, fontfamily='monospace', fontweight='normal')
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if amd_total > 0:
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# AMD bar starts at column left position
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left = col_left
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for category in ['passed', 'failed', 'skipped', 'error']:
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if amd_stats[category] > 0:
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width = amd_stats[category] / amd_total * bar_width
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ax.barh(y_amd_bar, width, left=left, height=bar_height,
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color=colors[category], alpha=0.9)
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# if width > 2: # Smaller threshold for text display
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# ax.text(left + width/2, y_amd_bar, str(amd_stats[category]),
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# ha='center', va='center', color='black',
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# fontweight='bold', fontsize=10, fontfamily='monospace')
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left += width
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else:
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ax.barh(y_amd_bar, bar_width, left=col_left, height=bar_height, color=colors['empty'], alpha=0.9)
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# ax.text(col_center, y_amd_bar, "No data", ha='center', va='center', color='black', fontweight='bold', fontsize=10, fontfamily='monospace')
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# NVIDIA label and bar in this column
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ax.text(label_x, y_nvidia_bar, "nvidia", ha='right', va='center', color='#CCCCCC', fontsize=14, fontfamily='monospace', fontweight='normal')
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if nvidia_total > 0:
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# NVIDIA bar starts at column left position
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left = col_left
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for category in ['passed', 'failed', 'skipped', 'error']:
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if nvidia_stats[category] > 0:
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width = nvidia_stats[category] / nvidia_total * bar_width
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ax.barh(y_nvidia_bar, width, left=left, height=bar_height,
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color=colors[category], alpha=0.9)
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# if width > 2: # Smaller threshold for text display
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# ax.text(left + width/2, y_nvidia_bar, str(nvidia_stats[category]),
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# ha='center', va='center', color='black',
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# fontweight='bold', fontsize=10, fontfamily='monospace')
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left += width
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else:
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ax.barh(y_nvidia_bar, bar_width, left=col_left, height=bar_height, color=colors['empty'], alpha=0.9)
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# ax.text(col_center, y_nvidia_bar, "No data", ha='center', va='center', color='black', fontweight='bold', fontsize=10, fontfamily='monospace')
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# Increment counter for next visible model
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visible_model_count += 1
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# Style the axes to be completely invisible and span full width
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ax.set_xlim(-5, 105) # Slightly wider to accommodate labels
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ax.set_ylim(0, max_y)
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ax.set_xlabel('')
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ax.set_ylabel('')
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