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

import pandas as pd
from datetime import datetime
import os

def extract_march_2026_events():
    """
    Extract March 2026 events from the calendar image
    """
    
    # March 2026 events - extracted from the calendar image
    march_events = {
        '2026-03-01': 'SCRAMBLE',
        '2026-03-02': 'EPIC LADIES (a.m) AMAM (Draw), MEN (p.m) - Q',
        '2026-03-04': 'ALLIANCE (DRAW)',
        '2026-03-06': 'EPIC LADIES - Q, MEN',
        '2026-03-07': 'MENS 60 TEES, LADIES 52\'S',
        '2026-03-08': 'SCRAMBLE',
        '2026-03-09': 'EPIC LADIES (p.m) Shambles, MEN (a.m)',
        '2026-03-11': 'AM.AM DRAW FOR TEAMS',
        '2026-03-13': 'EPIC LADIES, MEN',
        '2026-03-14': 'MENS 60 TEES, LADIES 52\'S',
        '2026-03-15': 'SCRAMBLE',
        '2026-03-16': 'EPIC - Q LADIES (a.m) - Q Alan Sterling Trophy, MEN (p.m)',
        '2026-03-18': 'ST PATRICKS TROPHY. CANADA CUP. (OWN PARTNER)',
        '2026-03-20': 'EPIC LADIES, MEN',
        '2026-03-21': 'MENS 60 TEES, LADIES 52\'S',
        '2026-03-22': 'SCRAMBLE',
        '2026-03-23': 'EPIC LADIES (a.m) Scramble, MEN (p.m)',
        '2026-03-24': 'CLUB CHAMPIONSHIP',
        '2026-03-25': 'CLUB CHAMPIONSHIP',
        '2026-03-27': 'EPIC LADIES, MEN',
        '2026-03-28': 'MENS 60 TEES, LADIES 52\'S',
        '2026-03-29': 'SCRAMBLE',
        '2026-03-30': 'EPIC LADIES (a.m) INVITATION DAY, MEN (p.m)',
    }
    
    return march_events

def categorize_march_events():
    """
    Categorize March events by type
    """
    event_types = {}
    
    march_events = extract_march_2026_events()
    
    for date, event_name in march_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 'ALLIANCE' in event_name or 'AM.AM' in event_name:
            event_types[date] = 'Team Event'
        elif 'SHAMBLES' in event_name:
            event_types[date] = 'Team Event'
        elif 'TROPHY' in event_name:
            event_types[date] = 'Tournament'
        elif 'CHAMPIONSHIP' in event_name:
            event_types[date] = 'Championship'
        elif 'INVITATION' in event_name:
            event_types[date] = 'Special Event'
        else:
            event_types[date] = 'Regular Event'
    
    return event_types

def update_calendar_with_march():
    """
    Update the calendar with March events
    """
    
    # Get March events and types
    march_events = extract_march_2026_events()
    event_types = categorize_march_events()
    
    # Read existing calendar
    calendar_file = '/var/www/html/wordpress6/wordpress/EP/2026_CALENDAR_WITH_FEBRUARY.xlsx'
    
    try:
        # Read the main calendar sheet
        df = pd.read_excel(calendar_file, sheet_name='Full Calendar')
        
        # Update with March events
        for date, event_name in march_events.items():
            mask = df['Date'] == date
            df.loc[mask, 'Event Name'] = event_name
            if date in event_types:
                df.loc[mask, 'Event Type'] = event_types[date]
        
        # Save updated calendar
        output_file = '/var/www/html/wordpress6/wordpress/EP/2026_CALENDAR_WITH_MARCH.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 March events: {output_file}")
        print(f"March events added: {len(march_events)}")
        
        return output_file
        
    except Exception as e:
        print(f"Error updating calendar: {e}")
        return None

if __name__ == "__main__":
    print("Extracting March 2026 events...")
    
    # Extract March events
    march_events = extract_march_2026_events()
    print(f"March events extracted: {len(march_events)}")
    
    # Update calendar
    updated_file = update_calendar_with_march()
    
    if updated_file:
        print(f"\n✅ SUCCESS!")
        print(f"Updated calendar: {updated_file}")
        print("\nMarch 2026 events added:")
        for date, event in march_events.items():
            print(f"  {date}: {event}")
        
        print(f"\nTotal March events: {len(march_events)}")
        print("\nNext: Ready to extract April 2026 events")
    else:
        print("❌ Error updating calendar")