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

import pandas as pd
from datetime import datetime
import os

def extract_september_2026_events():
    """
    Extract September 2026 events from the calendar image
    """
    
    # September 2026 events - extracted from the calendar image
    september_events = {
        '2026-09-02': 'AM/AM 45 TEES, DRAW FOR TEAMS',
        '2026-09-04': 'EPIC LADIES MEN',
        '2026-09-05': 'MENS 60 TEES, LADIES 52\'S',
        '2026-09-06': 'SCRAMBLE',
        '2026-09-07': 'EPIC LADIES Alliance (a.m), MEN (p.m)',
        '2026-09-09': 'PAIRS SCRAMBLE (HYBRID DRAW)',
        '2026-09-11': 'EPIC LADIES MEN',
        '2026-09-12': 'MENS 60 TEES, LADIES 52\'S',
        '2026-09-13': 'SCRAMBLE',
        '2026-09-14': 'EPIC LADIES (p.m), AMAM MEN (a.m)',
        '2026-09-16': 'PRESIDENTS DAY PAIRS BETTERBALL (DRAW FOR PARTNERS)',
        '2026-09-18': 'EPIC LADIES MEN',
        '2026-09-19': 'MENS 60 TEES, LADIES 52\'S',
        '2026-09-20': 'SCRAMBLE',
        '2026-09-21': 'EPIC Q (a.m), LADIES Q, MEN (p.m)',
        '2026-09-23': 'MEDAL COMPETITION',
        '2026-09-25': 'EPIC LADIES MEN',
        '2026-09-26': 'MENS 60 TEES, LADIES 52\'S',
        '2026-09-27': 'SCRAMBLE',
        '2026-09-28': 'MEMBERS WEEK',
        '2026-09-29': 'MEMBERS WEEK',
    }
    
    return september_events

def categorize_september_events():
    """
    Categorize September events by type
    """
    event_types = {}
    
    september_events = extract_september_2026_events()
    
    for date, event_name in september_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 'AM/AM' in event_name:
            event_types[date] = 'Team Event'
        elif 'PAIRS' in event_name or 'BETTERBALL' in event_name:
            event_types[date] = 'Team Event'
        elif 'PRESIDENTS' in event_name:
            event_types[date] = 'Special Event'
        elif 'MEDAL' in event_name:
            event_types[date] = 'Competition'
        elif 'MEMBERS WEEK' in event_name:
            event_types[date] = 'Special Event'
        else:
            event_types[date] = 'Regular Event'
    
    return event_types

def update_calendar_with_september():
    """
    Update the calendar with September events
    """
    
    # Get September events and types
    september_events = extract_september_2026_events()
    september_types = categorize_september_events()
    
    # Read existing calendar
    calendar_file = '/var/www/html/wordpress6/wordpress/EP/2026_CALENDAR_WITH_AUGUST.xlsx'
    
    try:
        # Read the main calendar sheet
        df = pd.read_excel(calendar_file, sheet_name='Full Calendar')
        
        # Update with September events
        for date, event_name in september_events.items():
            mask = df['Date'] == date
            df.loc[mask, 'Event Name'] = event_name
            if date in september_types:
                df.loc[mask, 'Event Type'] = september_types[date]
        
        # Save updated calendar
        output_file = '/var/www/html/wordpress6/wordpress/EP/2026_CALENDAR_WITH_SEPTEMBER.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 September events: {output_file}")
        print(f"September events added: {len(september_events)}")
        
        return output_file
        
    except Exception as e:
        print(f"Error updating calendar: {e}")
        return None

if __name__ == "__main__":
    print("Extracting September 2026 events...")
    
    # Extract September events
    september_events = extract_september_2026_events()
    print(f"September events extracted: {len(september_events)}")
    
    # Update calendar
    updated_file = update_calendar_with_september()
    
    if updated_file:
        print(f"\n✅ SUCCESS!")
        print(f"Updated calendar: {updated_file}")
        print("\nSeptember 2026 events added:")
        for date, event in september_events.items():
            print(f"  {date}: {event}")
        
        print(f"\nTotal September events: {len(september_events)}")
        print("\nNext: Ready to extract October 2026 events")
    else:
        print("❌ Error updating calendar")