#!/usr/bin/env python3
"""Progressive Test Implementation Demo

This demonstrates how the AI agent team would implement test TODOs.
Shows before/after examples of test implementation.
"""

import sys
from pathlib import Path

sys.path.insert(0, str(Path(__file__).parent / "src"))

from rich.console import Console
from rich.panel import Panel
from rich.syntax import Syntax
from rich.table import Table

console = Console()


def show_implementation_example():
    """Show example of TODO implementation."""

    console.print()
    console.print(
        Panel.fit(
            "[bold cyan]🤖 AI Test Implementation Agent[/bold cyan]\n"
            "[dim]Analyzing source code and implementing test TODOs[/dim]",
            border_style="cyan",
        )
    )
    console.print()

    # Example BEFORE
    before_code = '''def test_success_rate_basic():
    """Test success_rate with basic inputs."""
    # TODO: Implement test for success_rate
    # Example:
    # result = success_rate(test_input)
    # assert result == expected_output
    pass'''

    # Example AFTER (what AI would generate)
    after_code = '''def test_success_rate_basic():
    """Test success_rate with basic inputs."""
    from attune.pattern_library import success_rate

    # Test with pattern that has 8/10 successes
    pattern_id = "test_pattern"
    total_uses = 10
    successful_uses = 8

    result = success_rate(pattern_id, total_uses, successful_uses)

    assert result == 0.8, "Success rate should be 80%"
    assert isinstance(result, float), "Should return float"
    assert 0.0 <= result <= 1.0, "Rate should be between 0 and 1"'''

    console.print(
        Panel(
            Syntax(before_code, "python", theme="monokai", line_numbers=True),
            title="❌ Before (TODO Template)",
            border_style="red",
        )
    )

    console.print()

    console.print(
        Panel(
            Syntax(after_code, "python", theme="monokai", line_numbers=True),
            title="✅ After (AI Implementation)",
            border_style="green",
        )
    )

    console.print()


def show_agent_workflow():
    """Show how the AI agent analyzes and implements tests."""

    console.print(
        Panel.fit(
            "[bold]🔍 AI Agent Analysis Process:[/bold]\n\n"
            "1. [cyan]Read source code[/cyan] - Analyze empathy_os/pattern_library.py\n"
            "2. [cyan]Extract function signature[/cyan] - success_rate(pattern_id, total, successful)\n"
            "3. [cyan]Understand purpose[/cyan] - Calculate success rate as percentage\n"
            "4. [cyan]Generate test data[/cyan] - Create realistic test cases\n"
            "5. [cyan]Write assertions[/cyan] - Validate return value, type, range\n"
            "6. [cyan]Add edge cases[/cyan] - Test with 0, None, negative values\n"
            "7. [cyan]Implement test[/cyan] - Replace TODO with working code",
            border_style="blue",
            title="🧠 How AI Implements Tests",
        )
    )

    console.print()


def show_coverage_projection():
    """Show projected coverage improvement."""

    table = Table(title="📈 Coverage Projection", show_header=True)
    table.add_column("Metric", style="cyan", width=30)
    table.add_column("Before", style="yellow", justify="right")
    table.add_column("After", style="green", justify="right")
    table.add_column("Change", style="cyan", justify="right")

    table.add_row("Test Coverage", "62.0%", "95.0%", "+33.0%")
    table.add_row("Test Files", "18", "28", "+10")
    table.add_row("Test Cases", "127", "337", "+210")
    table.add_row("Functions Tested", "89", "194", "+105")
    table.add_row("Classes Tested", "15", "35", "+20")

    console.print(table)
    console.print()


def show_implementation_stats():
    """Show what will be implemented."""

    console.print(
        Panel(
            "[bold]📊 Implementation Plan:[/bold]\n\n"
            "[cyan]Files to Process:[/cyan]\n"
            "  • test_wizard_factory_cli.py (10 TODOs)\n"
            "  • test_persistence.py (26 TODOs)\n"
            "  • test_cost_tracker.py (18 TODOs)\n"
            "  • test_feedback_loops.py (22 TODOs)\n"
            "  • test_logging_config.py (18 TODOs)\n"
            "  • test_discovery.py (26 TODOs)\n"
            "  • test_pattern_cache.py (16 TODOs)\n"
            "  • test_agent_monitoring.py (34 TODOs)\n"
            "  • test_pattern_library.py (34 TODOs)\n"
            "  • test_core.py (46 TODOs)\n\n"
            "[yellow]Total TODOs:[/yellow] [bold]250[/bold]\n"
            "[green]Estimated Time:[/green] 10-15 minutes with AI\n"
            "[blue]Estimated Cost:[/blue] $2.50-$5.00",
            border_style="cyan",
            title="🎯 Implementation Scope",
        )
    )

    console.print()


def main():
    """Main demo."""

    show_implementation_example()
    show_agent_workflow()
    show_coverage_projection()
    show_implementation_stats()

    console.print(
        Panel.fit(
            "[bold green]✨ Ready to Implement Tests[/bold green]\n\n"
            "[bold]Next Steps:[/bold]\n\n"
            "1. Review the example implementation above\n"
            "2. Run the full implementation:\n"
            "   [cyan]python implement_test_todos.py[/cyan]\n\n"
            "3. The AI will:\n"
            "   • Analyze each source file\n"
            "   • Generate realistic test data\n"
            "   • Write assertions and edge cases\n"
            "   • Replace all TODO markers\n\n"
            "4. Verify the results:\n"
            "   [cyan]pytest tests/unit/ -v[/cyan]\n"
            "   [cyan]pytest --cov=src --cov-report=html[/cyan]",
            border_style="green",
            title="🚀 Ready to Launch",
        )
    )
    console.print()


if __name__ == "__main__":
    main()
