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| import matplotlib.pyplot as plt | |
| import matplotlib | |
| import pandas as pd | |
| import gradio as gr | |
| from data import CIResults | |
| from utils import logger | |
| from summary_page import create_summary_page | |
| from model_page import plot_model_stats | |
| # Configure matplotlib to prevent memory warnings and set dark background | |
| matplotlib.rcParams['figure.facecolor'] = '#000000' | |
| matplotlib.rcParams['axes.facecolor'] = '#000000' | |
| matplotlib.rcParams['savefig.facecolor'] = '#000000' | |
| plt.ioff() # Turn off interactive mode to prevent figure accumulation | |
| # Load data once at startup | |
| Ci_results = CIResults() | |
| Ci_results.load_data() | |
| # Start the auto-reload scheduler | |
| Ci_results.schedule_data_reload() | |
| # Load CSS from external file | |
| def load_css(): | |
| try: | |
| with open("styles.css", "r") as f: | |
| return f.read() | |
| except FileNotFoundError: | |
| logger.warning("styles.css not found, using minimal default styles") | |
| return "body { background: #000; color: #fff; }" | |
| # Create the Gradio interface with sidebar and dark theme | |
| with gr.Blocks(title="Model Test Results Dashboard", css=load_css()) as demo: | |
| with gr.Row(): | |
| # Sidebar for model selection | |
| with gr.Column(scale=1, elem_classes=["sidebar"]): | |
| gr.Markdown("# 🤖 TCID", elem_classes=["sidebar-title"]) | |
| # Description with integrated last update time | |
| if Ci_results.last_update_time: | |
| description_text = f"**Transformer CI Dashboard**\n\n*Result overview by model and hardware (last updated: {Ci_results.last_update_time})*\n" | |
| else: | |
| description_text = f"**Transformer CI Dashboard**\n\n*Result overview by model and hardware (loading...)*\n" | |
| description_display = gr.Markdown(description_text, elem_classes=["sidebar-description"]) | |
| # Summary button at the top | |
| summary_button = gr.Button( | |
| "summary\n📊", | |
| variant="primary", | |
| size="lg", | |
| elem_classes=["summary-button"] | |
| ) | |
| # Model selection header | |
| gr.Markdown(f"**Select model ({len(Ci_results.available_models)}):**", elem_classes=["model-header"]) | |
| # Scrollable container for model buttons | |
| with gr.Column(scale=1, elem_classes=["model-container"]): | |
| # Create individual buttons for each model | |
| model_buttons = [] | |
| model_choices = [model.lower() for model in Ci_results.available_models] if Ci_results.available_models else ["auto", "bert", "clip", "llama"] | |
| for model_name in model_choices: | |
| btn = gr.Button( | |
| model_name, | |
| variant="secondary", | |
| size="sm", | |
| elem_classes=["model-button"] | |
| ) | |
| model_buttons.append(btn) | |
| # CI job links at bottom of sidebar | |
| ci_links_display = gr.Markdown("🔗 **CI Jobs:** *Loading...*", elem_classes=["sidebar-links"]) | |
| # Main content area | |
| with gr.Column(scale=4, elem_classes=["main-content"]): | |
| # Summary display (default view) | |
| summary_display = gr.Plot( | |
| value=create_summary_page(Ci_results.df, Ci_results.available_models), | |
| label="", | |
| format="png", | |
| elem_classes=["plot-container"], | |
| visible=True | |
| ) | |
| # Detailed view components (hidden by default) | |
| with gr.Column(visible=False, elem_classes=["detail-view"]) as detail_view: | |
| # Create the plot output | |
| plot_output = gr.Plot( | |
| label="", | |
| format="png", | |
| elem_classes=["plot-container"] | |
| ) | |
| # Create two separate failed tests displays in a row layout | |
| with gr.Row(): | |
| with gr.Column(scale=1): | |
| amd_failed_tests_output = gr.Textbox( | |
| value="", | |
| lines=8, | |
| max_lines=8, | |
| interactive=False, | |
| container=False, | |
| elem_classes=["failed-tests"] | |
| ) | |
| with gr.Column(scale=1): | |
| nvidia_failed_tests_output = gr.Textbox( | |
| value="", | |
| lines=8, | |
| max_lines=8, | |
| interactive=False, | |
| container=False, | |
| elem_classes=["failed-tests"] | |
| ) | |
| # Set up click handlers for model buttons | |
| for i, btn in enumerate(model_buttons): | |
| model_name = model_choices[i] | |
| btn.click( | |
| fn=lambda selected_model=model_name: plot_model_stats(Ci_results.df, selected_model), | |
| outputs=[plot_output, amd_failed_tests_output, nvidia_failed_tests_output] | |
| ).then( | |
| fn=lambda: [gr.update(visible=False), gr.update(visible=True)], | |
| outputs=[summary_display, detail_view] | |
| ) | |
| # Summary button click handler | |
| def show_summary_and_update_links(): | |
| """Show summary page and update CI links.""" | |
| return create_summary_page(Ci_results.df, Ci_results.available_models), get_description_text(), get_ci_links() | |
| summary_button.click( | |
| fn=show_summary_and_update_links, | |
| outputs=[summary_display, description_display, ci_links_display] | |
| ).then( | |
| fn=lambda: [gr.update(visible=True), gr.update(visible=False)], | |
| outputs=[summary_display, detail_view] | |
| ) | |
| # Function to get current description text | |
| def get_description_text(): | |
| """Get description text with integrated last update time.""" | |
| if Ci_results.last_update_time: | |
| return f"**Transformer CI Dashboard**\n\n*Result overview by model and hardware (last updated: {Ci_results.last_update_time})*\n" | |
| else: | |
| return f"**Transformer CI Dashboard**\n\n*Result overview by model and hardware (loading...)*\n" | |
| # Function to get CI job links | |
| def get_ci_links(): | |
| """Get CI job links from the most recent data.""" | |
| try: | |
| # Check if df exists and is not empty | |
| if Ci_results.df is None or Ci_results.df.empty: | |
| return "🔗 **CI Jobs:** *Loading...*" | |
| # Get links from any available model (they should be the same for all models in a run) | |
| amd_multi_link = None | |
| amd_single_link = None | |
| nvidia_multi_link = None | |
| nvidia_single_link = None | |
| for model_name in Ci_results.df.index: | |
| row = Ci_results.df.loc[model_name] | |
| # Extract AMD links | |
| if pd.notna(row.get('job_link_amd')) and (not amd_multi_link or not amd_single_link): | |
| amd_link_raw = row.get('job_link_amd') | |
| if isinstance(amd_link_raw, dict): | |
| if 'multi' in amd_link_raw and not amd_multi_link: | |
| amd_multi_link = amd_link_raw['multi'] | |
| if 'single' in amd_link_raw and not amd_single_link: | |
| amd_single_link = amd_link_raw['single'] | |
| # Extract NVIDIA links | |
| if pd.notna(row.get('job_link_nvidia')) and (not nvidia_multi_link or not nvidia_single_link): | |
| nvidia_link_raw = row.get('job_link_nvidia') | |
| if isinstance(nvidia_link_raw, dict): | |
| if 'multi' in nvidia_link_raw and not nvidia_multi_link: | |
| nvidia_multi_link = nvidia_link_raw['multi'] | |
| if 'single' in nvidia_link_raw and not nvidia_single_link: | |
| nvidia_single_link = nvidia_link_raw['single'] | |
| # Break if we have all links | |
| if amd_multi_link and amd_single_link and nvidia_multi_link and nvidia_single_link: | |
| break | |
| links_md = "🔗 **CI Jobs:**\n\n" | |
| # AMD links | |
| if amd_multi_link or amd_single_link: | |
| links_md += "**AMD:**\n" | |
| if amd_multi_link: | |
| links_md += f"• [Multi GPU]({amd_multi_link})\n" | |
| if amd_single_link: | |
| links_md += f"• [Single GPU]({amd_single_link})\n" | |
| links_md += "\n" | |
| # NVIDIA links | |
| if nvidia_multi_link or nvidia_single_link: | |
| links_md += "**NVIDIA:**\n" | |
| if nvidia_multi_link: | |
| links_md += f"• [Multi GPU]({nvidia_multi_link})\n" | |
| if nvidia_single_link: | |
| links_md += f"• [Single GPU]({nvidia_single_link})\n" | |
| if not (amd_multi_link or amd_single_link or nvidia_multi_link or nvidia_single_link): | |
| links_md += "*No links available*" | |
| return links_md | |
| except Exception as e: | |
| logger.error(f"getting CI links: {e}") | |
| return "🔗 **CI Jobs:** *Error loading links*" | |
| # Auto-update CI links when the interface loads | |
| demo.load( | |
| fn=get_ci_links, | |
| outputs=[ci_links_display] | |
| ) | |
| # Gradio entrypoint | |
| if __name__ == "__main__": | |
| demo.launch() | |