Add January 2026 sales data import scripts

- process_daily_sales.py: Parse XLS sales reports and extract museum-by-museum data
- january_2026_data.csv: Verified data for all 31 days, 4 museums (124 records)

Data imported to NocoDB DailyStats table:
- Qur'an Museum: 8,493 visits, 196,450 SAR
- Revelation Museum: 68,449 visits, 1,637,290 SAR
- Creation Story Museum: 32,926 visits, 697,225 SAR
- The Best Of Creation: 15,110 visits, 263,783 SAR
- Total: 124,978 visits, 2,794,748 SAR

scripts/process_daily_sales.py

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+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}")