# 🔧 Integration Instructions for edaflow.optimize_display()
# How to add the universal display optimization feature to edaflow

"""
STEP 1: Add the display module to edaflow package
==================================================
"""
# Copy display_module.py to: edaflow/display.py
# OR create edaflow/display/__init__.py with the content


"""
STEP 2: Update edaflow/__init__.py  
=================================
"""
# Add this import at the top of edaflow/__init__.py:

from .display import optimize_display

# Add to the __all__ list:
__all__ = [
    # ... existing functions ...
    'optimize_display',  # <-- Add this line
]

# Update version number:
__version__ = "0.12.30"  # <-- Increment version


"""
STEP 3: Test the integration
============================
"""
# Create a simple test file to verify it works:

def test_integration():
    """Test that the new function is properly integrated."""
    import edaflow
    
    # Check if function is available
    assert hasattr(edaflow, 'optimize_display'), "optimize_display not found in edaflow!"
    
    # Test basic functionality
    result = edaflow.optimize_display(verbose=False)
    assert 'platform' in result, "Function didn't return expected result!"
    assert 'theme' in result, "Function didn't return expected result!"
    
    print("✅ Integration test passed!")
    print(f"   Platform: {result['platform']}")
    print(f"   Theme: {result['theme']}")
    
    return True


"""
STEP 4: Update documentation
============================
"""

# Add to README.md:
README_ADDITION = '''
## 🌙 Universal Dark Mode Support

edaflow now works perfectly in **all notebook environments** with automatic dark mode compatibility!

### Quick Setup (One Line!)
```python
import edaflow
edaflow.optimize_display()  # ✨ Magic! Works everywhere!

# Now all functions display beautifully
edaflow.check_null_columns(df)
edaflow.analyze_categorical_columns(df)
```

### Supported Platforms
- ✅ **Google Colab** (Light & Dark themes)
- ✅ **JupyterLab** (Light & Dark themes)  
- ✅ **VS Code Notebooks** (Light & Dark themes)
- ✅ **Jupyter Notebook** (Classic)
- ✅ **High Contrast Mode** (Accessibility)

### Advanced Usage
```python
# Force dark theme
edaflow.optimize_display(theme='dark')

# High contrast for accessibility
edaflow.optimize_display(high_contrast=True)

# Minimal setup (no matplotlib config)
edaflow.optimize_display(apply_matplotlib=False)
```

No more invisible text or poor contrast! 🎉
'''


"""
STEP 5: Update CHANGELOG.md
===========================
"""

CHANGELOG_ADDITION = '''
## [0.12.30] - 2025-08-11

### ✨ Added
- **Universal Dark Mode Support**: New `optimize_display()` function for perfect visibility across all notebook platforms
- **Automatic Platform Detection**: Detects Google Colab, JupyterLab, VS Code automatically
- **Theme Detection**: Smart detection of light/dark themes with manual override options
- **High Contrast Mode**: Accessibility support with enhanced contrast and brightness
- **CSS Optimization**: Automatic injection of platform-specific CSS fixes
- **Matplotlib Integration**: Automatic configuration of plots for optimal visibility
- **Zero Breaking Changes**: All existing code continues to work unchanged

### 🌙 Dark Mode Compatibility
- Google Colab: Full support for both light and dark themes
- JupyterLab: Automatic theme detection and CSS fixes
- VS Code: Native theme integration with editor
- Jupyter Notebook: Universal compatibility mode

### 💡 Usage
```python
import edaflow
edaflow.optimize_display()  # One line solves all visibility issues!
```

### 🔧 Technical Details
- Platform detection via environment variables and module inspection
- CSS injection for immediate visibility improvements
- Matplotlib configuration for high-contrast plots
- Seaborn palette optimization for better color visibility
- Responsive color schemes that adapt to detected themes
'''


"""
STEP 6: Create example usage file
=================================
"""

# Create examples/optimize_display_demo.py:
EXAMPLE_CODE = '''
"""
edaflow.optimize_display() - Universal Dark Mode Demo
====================================================

This script demonstrates how the new optimize_display() function 
works across different notebook environments.
"""

import pandas as pd
import numpy as np
import edaflow

def demo_optimize_display():
    """Demonstrate the optimize_display function."""
    
    print("🚀 EDAFLOW UNIVERSAL DISPLAY OPTIMIZATION DEMO")
    print("=" * 55)
    
    # Create sample data
    np.random.seed(42)
    df = pd.DataFrame({
        'category': np.random.choice(['A', 'B', 'C'], 100),
        'numbers': np.random.randint(1, 100, 100),
        'mixed': ['text'] * 50 + [str(i) for i in range(50)],
        'nulls': [x if x % 4 != 0 else None for x in range(100)]
    })
    
    print("\\n📊 Sample Data Created:")
    print(f"   Shape: {df.shape}")
    print(f"   Columns: {list(df.columns)}")
    
    print("\\n🔧 APPLYING UNIVERSAL OPTIMIZATION:")
    print("-" * 40)
    
    # Apply optimization
    config = edaflow.optimize_display()
    
    print("\\n📋 TESTING EDAFLOW FUNCTIONS:")
    print("-" * 35)
    
    print("\\n1. 🔍 Null Analysis:")
    edaflow.check_null_columns(df)
    
    print("\\n2. 📊 Categorical Analysis:")
    result = edaflow.analyze_categorical_columns(df)
    
    print("\\n3. 🎨 Visualization:")
    edaflow.visualize_categorical_values(df, max_unique_values=10)
    
    print("\\n✅ ALL FUNCTIONS WORK PERFECTLY!")
    print("🌙 Dark mode compatible across all platforms!")
    
    return config

if __name__ == "__main__":
    config = demo_optimize_display()
    print(f"\\n🏆 Configuration: {config}")
'''


"""
STEP 7: Final verification checklist
====================================
"""

VERIFICATION_CHECKLIST = """
□ display.py module added to edaflow package
□ __init__.py updated with import and __all__
□ Version bumped to 0.12.30
□ README.md updated with dark mode section
□ CHANGELOG.md updated with new features
□ Example file created for demonstration
□ Basic integration test passes
□ Function works in current environment
□ CSS injection working (if in notebook)
□ Matplotlib configuration applies
□ No breaking changes to existing code

🚀 Ready for testing across platforms:
□ Test in Google Colab
□ Test in JupyterLab  
□ Test in VS Code
□ Test theme switching
□ Test high contrast mode
□ Test with existing edaflow functions
"""

print("🔧 EDAFLOW INTEGRATION GUIDE")
print("=" * 35)
print("Follow the steps above to integrate optimize_display() into edaflow!")
print("\\nKey files created:")
print("- display_module.py (main implementation)")
print("- IMPLEMENTATION_PLAN_optimize_display.md (detailed plan)")
print("- This integration guide")
print("\\n🎯 Result: Universal dark mode compatibility for all edaflow users!")
