| """ |
| Minimalist, Math-First ARF UI Components |
| Compatible with Gradio 6+ and Hugging Face Spaces |
| """ |
|
|
| from __future__ import annotations |
| from typing import Dict, List, Any, Optional |
| import gradio as gr |
|
|
| |
| |
| |
| def create_header(version: str = "3.3.6", is_enterprise: bool = False): |
| """Minimalist header with version and mode.""" |
| header_text = f"馃殌 Agentic Reliability Framework v{version} 路 " |
| header_text += "ENTERPRISE" if is_enterprise else "OSS Edition" |
| return gr.Markdown(header_text, elem_classes=["mono"]) |
|
|
| def create_footer(): |
| return gr.Markdown("ARF 漏 2025 路 Self-Healing Agentic Systems", elem_classes=["mono"]) |
|
|
| |
| |
| |
| def create_tab1_incident_demo( |
| scenarios: Dict[str, Any], |
| healing_intents: Optional[List[Dict[str, Any]]] = None |
| ): |
| """Minimalist Incident Demo tab (matches app.py signature).""" |
| with gr.Column(): |
| scenario_dropdown = gr.Dropdown( |
| label="Scenario", |
| choices=list(scenarios.keys()), |
| value=list(scenarios.keys())[0], |
| ) |
| execution_mode = gr.Radio( |
| label="Execution Mode", |
| choices=["advisory", "approval", "autonomous"], |
| value="advisory", |
| ) |
| run_button = gr.Button("Run Analysis", variant="primary") |
| metrics_display = gr.Markdown("execution_state = idle", elem_classes=["mono"]) |
| return scenario_dropdown, execution_mode, run_button, metrics_display |
|
|
| |
| |
| |
| def create_tab2_business_roi(): |
| with gr.Column(): |
| roi_markdown = gr.Markdown("## Business Impact & ROI\n```\nROI calculations will appear here\n```", elem_classes=["mono"]) |
| return roi_markdown |
|
|
| |
| |
| |
| def create_tab3_enterprise_features(): |
| with gr.Column(): |
| features_markdown = gr.Markdown( |
| "## Enterprise Features\n- Full audit trail\n- Approval modes\n- Automated healing\n", |
| elem_classes=["mono"] |
| ) |
| return features_markdown |
|
|
| |
| |
| |
| def create_tab4_audit_trail(): |
| with gr.Column(): |
| audit_markdown = gr.Markdown("## Audit Trail & History\n```\nRecent actions will appear here\n```", elem_classes=["mono"]) |
| return audit_markdown |
|
|
| |
| |
| |
| def create_tab5_learning_engine(): |
| with gr.Column(): |
| learning_markdown = gr.Markdown("## Learning Engine Stats\n```\nModel improvements and patterns\n```", elem_classes=["mono"]) |
| return learning_markdown |
|
|