#!/usr/bin/env python3
"""
Extract June 2026 events from the calendar image
"""

import pandas as pd
from datetime import datetime
import os

def extract_june_2026_events():
    """
    Extract June 2026 events from the calendar image
    """
    
    # June 2026 events - extracted from the calendar image
    june_events = {
        '2026-06-01': 'EPIC LADIES Alliance (a.m), MEN - Q',
        '2026-06-03': 'OAKES TROPHY PAIRS BETTERBALL (HYBRID DRAW)',
        '2026-06-05': 'EPIC LADIES - Q, MEN',
        '2026-06-06': 'MENS 60 TEES, LADIES 52\'S',
        '2026-06-07': 'SCRAMBLE',
        '2026-06-08': 'COURSE CLOSED',
        '2026-06-09': 'COURSE CLOSED',
        '2026-06-10': 'COURSE CLOSED',
        '2026-06-11': 'COURSE CLOSED',
        '2026-06-12': 'COURSE CLOSED',
        '2026-06-13': 'MENS 60 TEES, LADIES 52\'S',
        '2026-06-14': 'SCRAMBLE',
        '2026-06-15': 'EPIC LADIES (p.m), Scramble, MEN',
        '2026-06-17': 'AM/AM TEAM (DRAW FOR PARTNERS)',
        '2026-06-19': 'EPIC LADIES, MEN',
        '2026-06-20': 'MENS 60 TEES, LADIES 52\'S',
        '2026-06-21': 'SCRAMBLE',
        '2026-06-22': 'EPIC LADIES AMAM (a.m), MEN',
        '2026-06-24': 'PAIRS BETTERBALL (HYBRID DRAW)',
        '2026-06-26': 'EPIC LADIES, MEN',
        '2026-06-27': 'MENS 60 TEES, LADIES 52\'S',
        '2026-06-28': 'SCRAMBLE',
        '2026-06-29': 'EPIC - Q, LADIES - Q, MEN',
    }
    
    return june_events

def categorize_june_events():
    """
    Categorize June events by type
    """
    event_types = {}
    
    june_events = extract_june_2026_events()
    
    for date, event_name in june_events.items():
        if 'SCRAMBLE' in event_name:
            event_types[date] = 'Regular Event'
        elif 'EPIC' in event_name:
            event_types[date] = 'Regular Event'
        elif 'MENS' in event_name and 'LADIES' in event_name:
            event_types[date] = 'Regular Event'
        elif 'COURSE CLOSED' in event_name:
            event_types[date] = 'Course Maintenance'
        elif 'TROPHY' in event_name:
            event_types[date] = 'Tournament'
        elif 'BETTERBALL' in event_name or 'AM/AM' in event_name:
            event_types[date] = 'Team Event'
        else:
            event_types[date] = 'Regular Event'
    
    return event_types

def update_calendar_with_june():
    """
    Update the calendar with June events
    """
    
    # Get June events and types
    june_events = extract_june_2026_events()
    june_types = categorize_june_events()
    
    # Read existing calendar
    calendar_file = '/var/www/html/wordpress6/wordpress/EP/2026_CALENDAR_WITH_APRIL_MAY.xlsx'
    
    try:
        # Read the main calendar sheet
        df = pd.read_excel(calendar_file, sheet_name='Full Calendar')
        
        # Update with June events
        for date, event_name in june_events.items():
            mask = df['Date'] == date
            df.loc[mask, 'Event Name'] = event_name
            if date in june_types:
                df.loc[mask, 'Event Type'] = june_types[date]
        
        # Save updated calendar
        output_file = '/var/www/html/wordpress6/wordpress/EP/2026_CALENDAR_WITH_JUNE.xlsx'
        
        with pd.ExcelWriter(output_file, engine='openpyxl') as writer:
            # Main calendar sheet
            df.to_excel(writer, sheet_name='Full Calendar', index=False)
            
            # Create individual month sheets
            months = ['January', 'February', 'March', 'April', 'May', 'June',
                     'July', 'August', 'September', 'October', 'November', 'December']
            
            for month in months:
                month_data = df[df['Month'] == month].copy()
                month_data.to_excel(writer, sheet_name=month, index=False)
            
            # Create summary sheet
            summary_data = []
            for month in months:
                month_events = df[df['Month'] == month]
                events_count = len(month_events[month_events['Event Name'] != ''])
                summary_data.append({
                    'Month': month,
                    'Total Days': len(month_events),
                    'Events Scheduled': events_count,
                    'Days Available': len(month_events) - events_count,
                    'Event Percentage': f"{(events_count/len(month_events)*100):.1f}%"
                })
            
            summary_df = pd.DataFrame(summary_data)
            summary_df.to_excel(writer, sheet_name='Summary', index=False)
        
        print(f"Calendar updated with June events: {output_file}")
        print(f"June events added: {len(june_events)}")
        
        return output_file
        
    except Exception as e:
        print(f"Error updating calendar: {e}")
        return None

if __name__ == "__main__":
    print("Extracting June 2026 events...")
    
    # Extract June events
    june_events = extract_june_2026_events()
    print(f"June events extracted: {len(june_events)}")
    
    # Update calendar
    updated_file = update_calendar_with_june()
    
    if updated_file:
        print(f"\n✅ SUCCESS!")
        print(f"Updated calendar: {updated_file}")
        print("\nJune 2026 events added:")
        for date, event in june_events.items():
            print(f"  {date}: {event}")
        
        print(f"\nTotal June events: {len(june_events)}")
        print("\nNext: Ready to extract August 2026 events")
    else:
        print("❌ Error updating calendar")