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| import pandas as pd | |
| from typing import Optional | |
| # Mock Helper Functions | |
| def get_rank_badge(rank): | |
| colors = {1: "#FFD700", 2: "#C0C0C0", 3: "#CD7F32"} | |
| color = colors.get(rank, "#64748B") | |
| return f'<span style="display: inline-block; width: 28px; height: 28px; line-height: 28px; text-align: center; border-radius: 50%; background-color: {color}; color: white; font-weight: bold;">{rank}</span>' | |
| def get_success_rate_bar(rate): | |
| if pd.isna(rate): | |
| return "N/A" | |
| color = "#10B981" if rate >= 75 else "#F59E0B" if rate >= 50 else "#EF4444" | |
| return f""" | |
| <div style="background-color: #E2E8F0; border-radius: 6px; overflow: hidden; height: 20px; position: relative;"> | |
| <div style="width: {rate}%; background-color: {color}; height: 100%;"></div> | |
| <span style="position: absolute; left: 50%; top: 50%; transform: translate(-50%, -50%); color: #0F172A; font-weight: 600; font-size: 12px;">{rate:.1f}%</span> | |
| </div> | |
| """ | |
| def get_gpu_utilization_bar(util): | |
| return get_success_rate_bar(util) | |
| def get_provider_badge(provider): | |
| color = "#4F46E5" if provider == "litellm" else "#14B8A6" | |
| return f'<span style="background-color: {color}; color: white; padding: 4px 8px; border-radius: 12px; font-size: 12px; font-weight: 500;">{provider}</span>' | |
| def get_agent_type_badge(agent_type): | |
| color = "#0EA5E9" | |
| return f'<span style="background-color: {color}; color: white; padding: 4px 8px; border-radius: 12px; font-size: 12px; font-weight: 500;">{agent_type}</span>' | |
| def get_hardware_badge(has_gpu): | |
| label = "GPU" if has_gpu else "CPU" | |
| color = "#10B981" if has_gpu else "#F59E0B" | |
| return f'<span style="background-color: {color}; color: white; padding: 4px 8px; border-radius: 12px; font-size: 12px; font-weight: 500;">{label}</span>' | |
| def format_cost(cost): | |
| if pd.isna(cost): | |
| return "N/A" | |
| return f"${cost:.4f}" | |
| def format_duration(ms): | |
| if pd.isna(ms): | |
| return "N/A" | |
| return f"{ms / 1000:.2f}s" | |
| def generate_leaderboard_html( | |
| df: pd.DataFrame, sort_by: str = "success_rate", ascending: bool = False | |
| ) -> str: | |
| """ | |
| Generates a styled HTML table for the leaderboard. | |
| Args: | |
| df: The leaderboard DataFrame. | |
| sort_by: The column to sort the DataFrame by. | |
| ascending: The sort order. | |
| Returns: | |
| A string containing the complete HTML for the table. | |
| """ | |
| df_sorted = df.sort_values(by=sort_by, ascending=ascending).reset_index(drop=True) | |
| html = """ | |
| <style> | |
| /* Leaderboard Table Styles */ | |
| .tm-action-button { | |
| background-color: #EF4444 !important; | |
| color: white; | |
| border: none; | |
| padding: 6px 12px; | |
| border-radius: 6px; | |
| font-size: 12px; | |
| font-weight: 500; | |
| cursor: pointer; | |
| transition: background-color 0.2s ease; | |
| } | |
| .tm-action-button:hover { | |
| background-color: #DC2626; /* Darker red on hover */ | |
| } | |
| .tm-leaderboard-container { background: #F8FAFC; border-radius: 16px; overflow-x: auto; overflow-y: visible; border: 1px solid rgba(203, 213, 225, 0.8); margin: 20px 0; box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1); max-width: 100%; } | |
| .tm-leaderboard-container::-webkit-scrollbar { height: 8px; } | |
| .tm-leaderboard-container::-webkit-scrollbar-track { background: #E2E8F0; border-radius: 4px; } | |
| .tm-leaderboard-container::-webkit-scrollbar-thumb { background: #94A3B8; border-radius: 4px; } | |
| .tm-leaderboard-container::-webkit-scrollbar-thumb:hover { background: #64748B; } | |
| .tm-leaderboard-table { width: 100%; min-width: 1650px; border-collapse: collapse; font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif; background: #FFFFFF; color: #0F172A; } | |
| .tm-leaderboard-table thead { background: linear-gradient(135deg, #6366F1 0%, #4F46E5 100%); position: sticky; top: 0; z-index: 10; backdrop-filter: blur(10px); } | |
| .tm-leaderboard-table th { padding: 16px 12px; text-align: left; font-weight: 600; color: #FFFFFF; border-bottom: 2px solid #4338CA; font-size: 12px; text-transform: uppercase; letter-spacing: 0.05em; white-space: nowrap; } | |
| .tm-leaderboard-table td { padding: 14px 12px; border-bottom: 1px solid rgba(226, 232, 240, 0.8); color: #1E293B; font-size: 14px; vertical-align: middle; } | |
| .tm-leaderboard-table tbody tr { transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1); cursor: pointer; } | |
| .tm-leaderboard-table tbody tr:hover { background: rgba(99, 102, 241, 0.08) !important; box-shadow: 0 0 15px rgba(99, 102, 241, 0.15), inset 0 0 15px rgba(99, 102, 241, 0.05); transform: scale(1.002); } | |
| .tm-leaderboard-table tbody tr:nth-child(even) { background: rgba(241, 245, 249, 0.6); } | |
| .tm-model-name { font-weight: 600; color: #000000 !important; font-size: 15px; transition: color 0.2s ease; } | |
| .tm-leaderboard-table tr:hover .tm-model-name { color: #4F46E5 !important; } | |
| .tm-numeric-cell { font-family: 'Monaco', 'Menlo', monospace; font-size: 13px; text-align: center; color: #000000 !important; } | |
| .tm-badge-cell { text-align: center; } | |
| .tm-run-id { font-family: 'Monaco', 'Menlo', monospace; font-size: 12px; color: #000000 !important; cursor: pointer; text-decoration: none; font-weight: 500; transition: all 0.2s ease; } | |
| .tm-run-id:hover { color: #4F46E5 !important; text-decoration: underline; } | |
| .tm-text-cell { color: #000000 !important; font-size: 0.9em; } | |
| @media (max-width: 1024px) { .tm-leaderboard-table th, .tm-leaderboard-table td { padding: 10px 8px; font-size: 12px; } .tm-hide-mobile { display: none !important; } } | |
| @media (max-width: 768px) { .tm-leaderboard-table th:nth-child(n+7), .tm-leaderboard-table td:nth-child(n+7) { display: none !important; } .tm-model-name { font-size: 13px; } } | |
| @media (max-width: 480px) { .tm-leaderboard-table th:nth-child(n+4), .tm-leaderboard-table td:nth-child(n+4) { display: none !important; } .tm-leaderboard-table th:nth-child(3), .tm-leaderboard-table td:nth-child(3) { display: table-cell !important; } } | |
| </style> | |
| <div class="tm-leaderboard-container"> | |
| <table class="tm-leaderboard-table"> | |
| <thead> | |
| <tr> | |
| <th style="width: 60px;">Rank</th> | |
| <th style="width: 110px;" title="Run ID">Run ID</th> | |
| <th style="min-width: 160px;">Model</th> | |
| <th style="width: 80px;">Type</th> | |
| <th style="width: 90px;">Provider</th> | |
| <th style="width: 85px;" title="Hardware used for evaluation: GPU or CPU">Hardware</th> | |
| <th style="width: 150px;" title="Percentage of test cases that passed (0-100%). Higher is better.">Success Rate</th> | |
| <th style="width: 140px;" class="tm-numeric-cell" title="Tests: Total / Pass / Fail">Tests (P/F)</th> | |
| <th style="width: 70px;" class="tm-numeric-cell" title="Average number of steps per test case.">Steps</th> | |
| <th style="width: 100px;" class="tm-numeric-cell" title="Average time per test case. Lower is better.">Duration</th> | |
| <th style="width: 90px;" class="tm-numeric-cell" title="Total tokens used across all tests.">Tokens</th> | |
| <th style="width: 90px;" class="tm-numeric-cell" title="Total API + power costs in USD. Lower is better.">Cost</th> | |
| <th style="width: 80px;" class="tm-numeric-cell tm-hide-mobile" title="Carbon footprint in grams of CO2 equivalent.">CO2</th> | |
| <th style="width: 100px;" class="tm-hide-mobile" title="Average GPU usage during evaluation (0-100%).">GPU Util</th> | |
| <th style="width: 140px;" class="tm-hide-mobile">Timestamp</th> | |
| <th style="width: 110px;" class="tm-hide-mobile">Submitted By</th> | |
| <th style="width: 100px;">Actions</th> | |
| </tr> | |
| </thead> | |
| <tbody> | |
| """ | |
| for idx, row in df_sorted.iterrows(): | |
| rank = idx + 1 | |
| model = row.get("model", "Unknown") | |
| agent_type = row.get("agent_type", "unknown") | |
| provider = row.get("provider", "unknown") | |
| success_rate = row.get("success_rate", 0.0) | |
| total_tests = row.get("total_tests", 0) | |
| successful_tests = row.get("successful_tests", 0) | |
| failed_tests = row.get("failed_tests", 0) | |
| avg_steps = row.get("avg_steps", 0.0) | |
| avg_duration_ms = row.get("avg_duration_ms", 0.0) | |
| total_tokens = row.get("total_tokens", 0) | |
| total_cost_usd = row.get("total_cost_usd", 0.0) | |
| co2_emissions_g = row.get("co2_emissions_g", 0.0) | |
| gpu_utilization_avg = row.get("gpu_utilization_avg", None) | |
| timestamp = row.get("timestamp", "") | |
| submitted_by = row.get("submitted_by", "Unknown") | |
| run_id = row.get("run_id", "N/A") | |
| has_gpu = pd.notna(gpu_utilization_avg) and gpu_utilization_avg > 0 | |
| gpu_display = ( | |
| get_gpu_utilization_bar(gpu_utilization_avg) | |
| if has_gpu | |
| else '<span style="color: #94A3B8; font-size: 0.85em;">N/A</span>' | |
| ) | |
| co2_display = ( | |
| f"{co2_emissions_g:.2f}g" | |
| if pd.notna(co2_emissions_g) and co2_emissions_g > 0 | |
| else '<span style="color: #94A3B8; font-size: 0.85em;">N/A</span>' | |
| ) | |
| timestamp_display = str(timestamp)[:16] if pd.notna(timestamp) else "N/A" | |
| run_id_short = run_id[:8] + "..." if len(run_id) > 8 else run_id | |
| data_attrs_dict = { | |
| f"data-{key.replace('_', '-')}": value | |
| for key, value in row.to_dict().items() | |
| } | |
| data_attrs = " ".join( | |
| [f'{key}="{value}"' for key, value in data_attrs_dict.items()] | |
| ) | |
| html += f""" | |
| <tr {data_attrs}> | |
| <td>{get_rank_badge(rank)}</td> | |
| <td class="tm-run-id" title="{run_id}">{run_id_short}</td> | |
| <td class="tm-model-name">{model}</td> | |
| <td class="tm-badge-cell">{get_agent_type_badge(agent_type)}</td> | |
| <td class="tm-badge-cell">{get_provider_badge(provider)}</td> | |
| <td class="tm-badge-cell">{get_hardware_badge(has_gpu)}</td> | |
| <td>{get_success_rate_bar(success_rate)}</td> | |
| <td class="tm-numeric-cell"> | |
| <strong>{total_tests}</strong> / <span style="color: #10B981;">{successful_tests}</span> / <span style="color: #EF4444;">{failed_tests}</span> | |
| </td> | |
| <td class="tm-numeric-cell">{avg_steps:.1f}</td> | |
| <td class="tm-numeric-cell">{format_duration(avg_duration_ms)}</td> | |
| <td class="tm-numeric-cell">{total_tokens:,}</td> | |
| <td class="tm-numeric-cell">{format_cost(total_cost_usd)}</td> | |
| <td class="tm-numeric-cell tm-hide-mobile">{co2_display}</td> | |
| <td class="tm-hide-mobile">{gpu_display}</td> | |
| <td class="tm-hide-mobile tm-text-cell">{timestamp_display}</td> | |
| <td class="tm-hide-mobile tm-text-cell">{submitted_by}</td> | |
| <td> | |
| <button class="tm-action-button" data-action="delete" data-run-id="{run_id}"> | |
| Delete | |
| </button> | |
| </td> | |
| </tr> | |
| """ | |
| html += """ | |
| </tbody> | |
| </table> | |
| </div> | |
| """ | |
| return html | |