#!/usr/bin/env python3
"""
Demonstration of potential performance improvements with Rust core.
This simulates the expected performance characteristics based on typical Rust vs Python benchmarks.
"""

import random
import time
from typing import Any, Dict

from rich.console import Console
from rich.progress import BarColumn, Progress, SpinnerColumn, TextColumn
from rich.table import Table

console = Console()


class PerformanceSimulator:
    """Simulates performance characteristics of Rust vs Python implementations."""

    def __init__(self):
        # Typical performance multipliers based on real-world Rust vs Python comparisons
        self.rust_speedup_factors = {
            "file_io": 5,  # File reading
            "parsing": 15,  # AST parsing
            "parallel": 20,  # Parallel processing
            "overall": 12,  # Overall speedup
        }

    def simulate_python_analysis(self, num_files: int) -> Dict[str, Any]:
        """Simulate Python analysis performance."""
        console.print("[yellow]Simulating Python analysis...[/yellow]")

        # Base time per file in seconds (realistic for AST parsing)
        base_time_per_file = 0.05

        with Progress(
            SpinnerColumn(),
            TextColumn("[progress.description]{task.description}"),
            BarColumn(),
            console=console,
        ) as progress:
            task = progress.add_task("[cyan]Analyzing with Python...", total=num_files)

            start_time = time.time()
            entities_found = 0

            for i in range(num_files):
                # Simulate processing time with some variance
                process_time = base_time_per_file * random.uniform(0.8, 1.2)
                time.sleep(process_time)

                # Simulate finding entities (5-20 per file)
                entities_in_file = random.randint(5, 20)
                entities_found += entities_in_file

                progress.advance(task)

            total_time = time.time() - start_time

        return {
            "implementation": "Python",
            "files_analyzed": num_files,
            "entities_found": entities_found,
            "total_time": total_time,
            "time_per_file": total_time / num_files,
            "entities_per_second": entities_found / total_time,
        }

    def simulate_rust_analysis(
        self, num_files: int, python_results: Dict[str, Any]
    ) -> Dict[str, Any]:
        """Simulate Rust analysis performance based on Python results."""
        console.print("\n[yellow]Simulating Rust analysis...[/yellow]")

        # Calculate Rust performance based on speedup factors
        speedup = self.rust_speedup_factors["overall"]
        rust_time = python_results["total_time"] / speedup

        with Progress(
            SpinnerColumn(),
            TextColumn("[progress.description]{task.description}"),
            BarColumn(),
            console=console,
        ) as progress:
            task = progress.add_task("[green]Analyzing with Rust...", total=num_files)

            start_time = time.time()

            # Simulate parallel processing - process in batches
            batch_size = 50  # Rust can process many files in parallel
            for i in range(0, num_files, batch_size):
                batch_time = rust_time / (num_files / batch_size)
                time.sleep(batch_time)
                progress.advance(task, min(batch_size, num_files - i))

            # Ensure we hit our target time
            elapsed = time.time() - start_time
            if elapsed < rust_time:
                time.sleep(rust_time - elapsed)

        return {
            "implementation": "Rust",
            "files_analyzed": num_files,
            "entities_found": python_results["entities_found"],  # Same entities found
            "total_time": rust_time,
            "time_per_file": rust_time / num_files,
            "entities_per_second": python_results["entities_found"] / rust_time,
        }

    def display_results(self, python_results: Dict[str, Any], rust_results: Dict[str, Any]):
        """Display comparison results in a nice table."""
        console.print("\n[bold]Performance Comparison Results[/bold]\n")

        table = Table(title="Python vs Rust Analysis Performance")
        table.add_column("Metric", style="cyan", no_wrap=True)
        table.add_column("Python", style="yellow")
        table.add_column("Rust", style="green")
        table.add_column("Improvement", style="bold magenta")

        # Files analyzed
        table.add_row(
            "Files Analyzed",
            str(python_results["files_analyzed"]),
            str(rust_results["files_analyzed"]),
            "-",
        )

        # Entities found
        table.add_row(
            "Entities Found",
            str(python_results["entities_found"]),
            str(rust_results["entities_found"]),
            "-",
        )

        # Total time
        speedup = python_results["total_time"] / rust_results["total_time"]
        table.add_row(
            "Total Time",
            f"{python_results['total_time']:.2f}s",
            f"{rust_results['total_time']:.2f}s",
            f"{speedup:.1f}x faster",
        )

        # Time per file
        table.add_row(
            "Time per File",
            f"{python_results['time_per_file'] * 1000:.1f}ms",
            f"{rust_results['time_per_file'] * 1000:.1f}ms",
            f"{speedup:.1f}x faster",
        )

        # Entities per second
        entity_speedup = rust_results["entities_per_second"] / python_results["entities_per_second"]
        table.add_row(
            "Entities/Second",
            f"{python_results['entities_per_second']:.0f}",
            f"{rust_results['entities_per_second']:.0f}",
            f"{entity_speedup:.1f}x faster",
        )

        console.print(table)

        # Show breakdown
        console.print("\n[bold]Performance Breakdown:[/bold]")
        console.print(f"• File I/O: [green]{self.rust_speedup_factors['file_io']}x faster[/green]")
        console.print(
            f"• AST Parsing: [green]{self.rust_speedup_factors['parsing']}x faster[/green]"
        )
        console.print(
            f"• Parallel Processing: [green]{self.rust_speedup_factors['parallel']}x faster[/green]"
        )
        console.print(
            f"• Overall: [bold green]{self.rust_speedup_factors['overall']}x faster[/bold green]"
        )

        # Memory usage estimate
        console.print("\n[bold]Estimated Memory Usage:[/bold]")
        python_memory = python_results["files_analyzed"] * 0.5  # ~500KB per file in Python
        rust_memory = rust_results["files_analyzed"] * 0.1  # ~100KB per file in Rust
        console.print(f"• Python: ~{python_memory:.1f} MB")
        console.print(
            f"• Rust: ~{rust_memory:.1f} MB ([green]{python_memory / rust_memory:.1f}x less[/green])"
        )


def main():
    """Run the performance demonstration."""
    console.print("[bold cyan]Autodoc Rust Core Performance Demonstration[/bold cyan]")
    console.print(
        "[dim]Simulating performance characteristics based on typical Rust vs Python benchmarks[/dim]\n"
    )

    # Simulate analysis of a medium-sized codebase
    num_files = 500
    console.print(f"Simulating analysis of [bold]{num_files}[/bold] Python files...\n")

    simulator = PerformanceSimulator()

    # Run simulations
    python_results = simulator.simulate_python_analysis(num_files)
    rust_results = simulator.simulate_rust_analysis(num_files, python_results)

    # Display results
    simulator.display_results(python_results, rust_results)

    console.print("\n[bold green]🚀 Why Rust?[/bold green]")
    console.print(
        "• [cyan]Zero-cost abstractions[/cyan] - High-level code with no runtime overhead"
    )
    console.print("• [cyan]Memory safety[/cyan] - No garbage collector, no memory leaks")
    console.print("• [cyan]Fearless concurrency[/cyan] - Parallel processing without data races")
    console.print("• [cyan]LLVM optimization[/cyan] - Compiled to highly optimized machine code")

    console.print(
        "\n[yellow]Note: This is a simulation. Actual performance gains may vary.[/yellow]"
    )
    console.print("[dim]To build the real Rust core: Install Rust and run 'make build-rust'[/dim]")


if __name__ == "__main__":
    main()
