#!/usr/bin/env python3
"""
Example 3: Project Analysis & Quick Wins

Shows how to analyze a React project and identify improvement opportunities.
"""

import asyncio
import sys
from pathlib import Path

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


async def main():
    print("=" * 60)
    print("EXAMPLE 3: Project Analysis & Quick Wins")
    print("=" * 60)

    # Use current directory as example project
    project_path = "."

    # 1. Scan Project
    print("\n1. Scanning Project...")
    print("-" * 60)
    from tools.analyze.scanner import ProjectScanner

    scanner = ProjectScanner(project_path)
    analysis = await scanner.scan()

    print(f"✅ Project scanned successfully")
    print(f"\nProject Details:")
    print(f"  Framework: {analysis.framework}")
    print(f"  Styling: {analysis.styling_approach}")
    print(f"  Package Manager: {analysis.package_manager}")
    print(f"  Has TypeScript: {analysis.has_typescript}")
    print(f"  Components Found: {len(analysis.components)}")

    # 2. Find Quick Wins
    print("\n2. Finding Quick Wins...")
    print("-" * 60)
    from tools.analyze.quick_wins import QuickWinFinder

    finder = QuickWinFinder(project_path)
    wins = await finder.find_all()

    print(f"✅ Found {len(wins.opportunities)} improvement opportunities\n")

    # Group by type
    by_type = {}
    for win in wins.opportunities:
        win_type = win.type.value
        if win_type not in by_type:
            by_type[win_type] = []
        by_type[win_type].append(win)

    print("Breakdown by Type:")
    for win_type, items in sorted(by_type.items()):
        print(f"  {win_type}: {len(items)} opportunities")

    # 3. Show Top Priorities (High Impact, Low Effort)
    print("\n3. Top Priorities (High ROI)")
    print("-" * 60)

    high_roi = [
        w for w in wins.opportunities
        if w.impact.value == "high" and w.effort.value in ["low", "medium"]
    ]

    if high_roi:
        for i, win in enumerate(high_roi[:5], 1):
            print(f"\n{i}. {win.title}")
            print(f"   Type: {win.type.value}")
            print(f"   Impact: {win.impact.value} | Effort: {win.effort.value}")
            print(f"   Description: {win.description}")
            if win.suggested_fix:
                print(f"   Fix: {win.suggested_fix}")
    else:
        print("  No high-ROI opportunities found (project is well-optimized!)")

    # 4. Generate Report
    print("\n4. Generating Report...")
    print("-" * 60)

    report = await finder.generate_report()
    print(report[:500] + "..." if len(report) > 500 else report)

    print("\n" + "=" * 60)
    print("💡 Next Steps:")
    print("  1. Review high-impact, low-effort wins")
    print("  2. Create backlog tickets for improvements")
    print("  3. Use MCP tools for automated fixes")
    print("=" * 60)


if __name__ == "__main__":
    asyncio.run(main())