"""
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

# -----------------------------
# Header & Footer
# -----------------------------
def create_header(version: str = "3.3.6", is_enterprise: bool = False):
    """Minimalist header with version and mode."""
    header_text = f"🚀 Agentic Reliability Framework v{version} · "
    header_text += "ENTERPRISE" if is_enterprise else "OSS Edition"
    return gr.Markdown(header_text, elem_classes=["mono"])

def create_footer():
    return gr.Markdown("ARF © 2025 · Self-Healing Agentic Systems", elem_classes=["mono"])

# -----------------------------
# Tab 1: Incident Demo
# -----------------------------
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

# -----------------------------
# Tab 2: Business ROI
# -----------------------------
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

# -----------------------------
# Tab 3: Enterprise Features
# -----------------------------
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

# -----------------------------
# Tab 4: Audit Trail
# -----------------------------
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

# -----------------------------
# Tab 5: Learning Engine
# -----------------------------
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