import csv
import os
import re
from collections import defaultdict

folder = '/tmp/jan2026_csv/'

# Museum name mapping - order matters! Check more specific patterns first
def get_museum(ticket_name):
    # Some tickets have both "الوحي" and "القرآن" - prioritize based on actual content
    # Pattern: "معرض الوحي | متحف القرآن الكريم" = Revelation Exhibition ticket (القرآن is just venue)
    
    ticket_lower = ticket_name.lower()
    
    # Check Revelation first (الوحي or revelation) - this takes priority
    if 'الوحي' in ticket_name or 'revelation' in ticket_lower:
        return "Revelation Museum"
    
    # Then Qur'an (only if الوحي not present)
    if 'holy qur' in ticket_lower or 'quraan' in ticket_lower or 'quran' in ticket_lower or 'القرآن' in ticket_name:
        return "Qur'an Museum"
    
    # Best of Creation
    if 'best of creation' in ticket_lower or 'خير الخلق' in ticket_name:
        return "The Best Of Creation"
    
    # Creation Story
    if 'creation story' in ticket_lower or 'قصة الخلق' in ticket_name:
        return "Creation Story Museum"
    
    return None

results = []

for filename in os.listdir(folder):
    if not filename.endswith('.csv'):
        continue
    
    filepath = os.path.join(folder, filename)
    
    with open(filepath, 'r', encoding='utf-8', errors='ignore') as f:
        lines = f.readlines()
    
    # Extract date from line 5
    date_match = re.search(r'(\d+/\d+/\d+)', lines[4] if len(lines) > 4 else '')
    if not date_match:
        continue
    date_str = date_match.group(1)
    
    # Parse as m/d/yyyy and convert to yyyy-mm-dd
    parts = date_str.split('/')
    date_iso = f"{parts[2]}-{int(parts[0]):02d}-{int(parts[1]):02d}"
    
    # Daily aggregation by museum
    daily = defaultdict(lambda: {'tickets': 0, 'visits': 0, 'revenue': 0.0})
    
    # Parse CSV rows
    reader = csv.reader(lines)
    rows = list(reader)
    
    for row in rows:
        if len(row) < 6:
            continue
        
        # Check if this is a ticket row (has site name and ticket name)
        site_name = row[0].strip() if row[0] else ''
        if 'Hiraa' not in site_name and 'Safiyyah' not in site_name:
            continue
        
        ticket_name = row[2].strip() if len(row) > 2 else ''
        museum = get_museum(ticket_name)
        if not museum:
            continue
        
        try:
            quantity = int(row[3].replace(',', '')) if row[3].strip() else 0
            people = int(row[4].replace(',', '')) if row[4].strip() else 0
            gross_sale = float(row[5].replace(',', '')) if row[5].strip() else 0.0
        except (ValueError, IndexError):
            continue
        
        daily[museum]['tickets'] += quantity
        daily[museum]['visits'] += people
        daily[museum]['revenue'] += gross_sale
    
    for museum, data in daily.items():
        results.append({
            'date': date_iso,
            'museum': museum,
            'tickets': data['tickets'],
            'visits': data['visits'],
            'revenue': data['revenue']
        })

# Sort by date and museum
results.sort(key=lambda x: (x['date'], x['museum']))

# Output as CSV
print("date,museum,tickets,visits,revenue")
for r in results:
    print(f"{r['date']},{r['museum']},{r['tickets']},{r['visits']},{r['revenue']:.2f}")