from tenacity import retry, wait_exponential, stop_after_attempt
try:
    from google.adk.agents.context_cache_config import ContextCacheConfig
except (ImportError, AttributeError, ModuleNotFoundError):
    ContextCacheConfig = None
# v1.4.5 Sovereign Alignment: Optimized for Google Cloud Run
import typer
import os
from rich.console import Console
from rich.table import Table
from rich.panel import Panel

app = typer.Typer(help="FinOps ROI Waterfall: Model cost-per-task and suggest optimization pivots.")
console = Console()

MODEL_PRICES = {
    'gemini-1.5-pro': {'input': 3.5, 'output': 10.5},
    'gemini-1.5-flash': {'input': 0.35, 'output': 1.05},
    'gpt-4': {'input': 30.0, 'output': 60.0},
    'gpt-3.5-turbo': {'input': 0.5, 'output': 1.5}
}

@app.command()
def waterfall(path: str = typer.Option('.', '--path', '-p', help='Path to the agent project to analyze')):
    """
    Generate a FinOps ROI Waterfall report.
    Analyzes model usage and projects savings from specific pivots.
    """
    console.print(Panel.fit('💰 [bold green]FINOPS ROI WATERFALL: TCO MODELING[/bold green]', border_style='green'))
    
    findings = []
    total_files = 0
    
    for root, dirs, files in os.walk(path):
        dirs[:] = [d for d in dirs if d not in ['node_modules', '.git', '__pycache__', 'venv', '.venv']]
        for file in files:
            if file.endswith('.py'):
                total_files += 1
                file_path = os.path.join(root, file)
                try:
                    with open(file_path, 'r') as f:
                        content = f.read()
                    
                    for model, prices in MODEL_PRICES.items():
                        if model in content.lower():
                            findings.append({
                                'file': file_path,
                                'model': model,
                                'input_price': prices['input'],
                                'output_price': prices['output']
                            })
                except Exception:
                    pass

    if not findings:
        console.print("ℹ️ [yellow]No explicit model identifiers found. Using default 'Gemini 1.5 Pro' baseline for waterfall simulation.[/yellow]")
        findings.append({
            'file': 'Simulation',
            'model': 'gemini-1.5-pro',
            'input_price': 3.5,
            'output_price': 10.5
        })

    table = Table(title="💰 Projected ROI Waterfall (Monthly Over 100M Tokens)")
    table.add_column("Optimization Phase", style="cyan")
    table.add_column("Current spend", style="red", justify="right")
    table.add_column("Target spend", style="green", justify="right")
    table.add_column("Monthly Delta", style="bold yellow", justify="right")

    # Baseline Phase
    baseline_cost = findings[0]['input_price'] * 100 # 100M tokens
    table.add_row("Baseline (Pro Tier)", f"${baseline_cost:,.2f}", f"${baseline_cost:,.2f}", "$0.00")
    
    # Phase 2: Flash Pivot
    flash_cost = MODEL_PRICES['gemini-1.5-flash']['input'] * 100
    table.add_row("1. Gemini 1.5 Flash Pivot", f"${baseline_cost:,.2f}", f"${flash_cost:,.2f}", f"-${baseline_cost - flash_cost:,.2f}")
    
    # Phase 3: Context Caching
    caching_cost = flash_cost * 0.1 # 90% reduction
    table.add_row("2. Context Caching (90%)", f"${flash_cost:,.2f}", f"${caching_cost:,.2f}", f"-${flash_cost - caching_cost:,.2f}")
    
    console.print(table)
    
    total_savings = baseline_cost - caching_cost
    console.print(Panel(f"🚀 [bold]Strategic ROI Summary[/bold]\nTotal monthly savings opportunity: [bold green]${total_savings:,.2f}[/bold green]\nROI Multiplier: [bold cyan]{(baseline_cost/caching_cost):.1f}x efficiency gain[/bold cyan]", border_style="blue"))

if __name__ == "__main__":
    app()
