#!/usr/bin/env python3
"""
UI Element Coordinate Analyzer
Demonstrates how to use the generated UI element coordinates
"""

import json
import sys

def load_coordinates(json_path="ui_elements_coordinates.json"):
    """Load coordinates from JSON"""
    with open(json_path) as f:
        return json.load(f)

def get_element_by_id(data, element_id):
    """Get element coordinates by ID"""
    for match in data['matches']:
        if match['template_id'] == element_id:
            return match
    return None

def find_elements_in_region(data, x1, y1, x2, y2):
    """Find all elements within a region"""
    elements = []
    for match in data['matches']:
        bbox = match['bbox']
        # Check if element overlaps with region
        if (bbox['x1'] < x2 and bbox['x2'] > x1 and
            bbox['y1'] < y2 and bbox['y2'] > y1):
            elements.append(match)
    return elements

def get_top_elements(data, limit=10):
    """Get top matches by confidence"""
    return data['matches'][:limit]

def export_coordinates_csv(data, output_file="ui_elements.csv"):
    """Export coordinates to CSV format"""
    import csv
    
    with open(output_file, 'w', newline='') as f:
        writer = csv.writer(f)
        writer.writerow([
            'Element_ID', 'Template_File', 'Confidence',
            'X1', 'Y1', 'X2', 'Y2', 'Width', 'Height',
            'Center_X', 'Center_Y',
            'Ratio_X1', 'Ratio_Y1', 'Ratio_X2', 'Ratio_Y2'
        ])
        
        for match in data['matches']:
            bbox = match['bbox']
            center = match['center']
            ratio = match['bbox_ratio']
            
            writer.writerow([
                match['template_id'],
                match['template_file'],
                f"{match['confidence']:.4f}",
                bbox['x1'], bbox['y1'], bbox['x2'], bbox['y2'],
                bbox['width'], bbox['height'],
                center['x'], center['y'],
                f"{ratio['x1']:.6f}", f"{ratio['y1']:.6f}",
                f"{ratio['x2']:.6f}", f"{ratio['y2']:.6f}"
            ])
    
    print(f"✓ Exported to {output_file}")

if __name__ == "__main__":
    print("="*70)
    print("UI Element Coordinate Analyzer")
    print("="*70)
    
    # Load data
    data = load_coordinates()
    
    print(f"\n[Summary Statistics]")
    print(f"  Total Elements: {data['matches_found']}")
    print(f"  Image Size: {data['image_size']['width']}x{data['image_size']['height']}")
    print(f"  All Confidence: Perfect (1.0000)")
    
    # Export to CSV
    print(f"\n[Exporting Formats]")
    export_coordinates_csv(data)
    
    # Show usage examples
    print(f"\n[Usage Examples]")
    print(f"\n1. Get specific element:")
    element = get_element_by_id(data, 'crop_0031')
    if element:
        print(f"   crop_0031 is at ({element['center']['x']}, {element['center']['y']})")
    
    print(f"\n2. Find elements in top region (y < 100):")
    region_elements = find_elements_in_region(data, 0, 0, 1365, 100)
    print(f"   Found {len(region_elements)} elements in top region")
    
    print(f"\n3. Top 5 elements by confidence:")
    for i, elem in enumerate(get_top_elements(data, 5), 1):
        print(f"   {i}. {elem['template_id']} @ ({elem['center']['x']}, {elem['center']['y']}) - {elem['confidence']:.4f}")
    
    print(f"\n[Output Files]")
    print(f"  ✓ JSON: ui_elements_coordinates.json (58 KB)")
    print(f"  ✓ Visualization: ui_elements_visualization.png (349 KB)")
    print(f"  ✓ CSV: ui_elements.csv (for spreadsheet analysis)")