# 🚀 TEST optimize_display() PROTOTYPE
# Testing our universal configuration function

import os
import sys

def test_optimize_display():
    """Test version of the optimize_display function."""
    
    print("🧪 TESTING optimize_display() PROTOTYPE")
    print("=" * 45)
    
    print("🔍 1. PLATFORM DETECTION:")
    
    # Detect platform
    if os.environ.get('VSCODE_PID'):
        platform = "VS Code"
        theme = "auto"
    elif 'COLAB_GPU' in os.environ:
        platform = "Google Colab"  
        theme = "light"
    else:
        platform = "Jupyter Environment"
        theme = "auto"
    
    print(f"   Detected: {platform}")
    print(f"   Theme: {theme}")
    print(f"   Python: {sys.version.split()[0]}")
    
    print("\n🎨 2. CSS FIXES (would be applied):")
    print("   ✅ Universal background transparency")
    print("   ✅ Platform-specific color fixes")
    print("   ✅ Table styling improvements")
    
    print("\n📊 3. MATPLOTLIB CONFIGURATION:")
    
    try:
        import matplotlib.pyplot as plt
        print(f"   ✅ Matplotlib {plt.matplotlib.__version__} available")
        
        # Test matplotlib configuration
        plt.rcParams.update({
            'figure.facecolor': 'white',
            'axes.facecolor': 'white',
            'figure.figsize': (10, 6)
        })
        print("   ✅ Matplotlib configured for better visibility")
        
        # Test color palette
        try:
            import seaborn as sns
            colors = ['#FF6B6B', '#4ECDC4', '#45B7D1', '#96CEB4', '#FFEAA7', '#DDA0DD']
            sns.set_palette(colors)
            print(f"   ✅ Seaborn {sns.__version__} palette applied")
        except ImportError:
            print("   ⚠️  Seaborn not available (optional)")
        
    except ImportError:
        print("   ⚠️  Matplotlib not available")
    
    print("\n🎯 4. EDAFLOW INTEGRATION:")
    try:
        import edaflow
        print(f"   ✅ edaflow {edaflow.__version__} detected")
        print("   💡 All edaflow functions would now display optimally!")
    except ImportError:
        print("   ⚠️  edaflow not available (testing without)")
    
    print("\n🏆 CONFIGURATION COMPLETE!")
    print(f"   Platform: {platform}")
    print(f"   Theme: {theme}")
    print(f"   Status: ✅ Optimized")
    
    return {
        'platform': platform,
        'theme': theme,
        'status': 'optimized',
        'features': ['css_fixes', 'matplotlib_config', 'color_palette']
    }

def demonstrate_usage():
    """Show how users would use the function."""
    print("\n" + "="*50)
    print("💡 HOW USERS WOULD USE optimize_display():")
    print("="*50)
    
    print("\n📱 Google Colab User:")
    print("   import edaflow")
    print("   edaflow.optimize_display()  # ← Perfect for Colab!")
    
    print("\n🖥️  JupyterLab User:")  
    print("   import edaflow")
    print("   edaflow.optimize_display()  # ← Perfect for JupyterLab!")
    
    print("\n💻 VS Code User:")
    print("   import edaflow")
    print("   edaflow.optimize_display()  # ← Perfect for VS Code!")
    
    print("\n🎯 Result: Universal compatibility with ONE function call!")

if __name__ == "__main__":
    # Run the test
    result = test_optimize_display()
    
    print(f"\n📋 PROTOTYPE TEST RESULTS:")
    for key, value in result.items():
        if isinstance(value, list):
            print(f"   {key}: {', '.join(value)}")
        else:
            print(f"   {key}: {value}")
    
    demonstrate_usage()
    
    print(f"\n🚀 PROTOTYPE TESTING COMPLETE!")
    print(f"   Ready for integration into edaflow package!")
