Add waiting system application files

- Add main application files (main.py, models.py, schemas.py, etc.)
- Add routers for all features (waiting, attendance, members, etc.)
- Add HTML templates for admin and user interfaces
- Add migration scripts and utility files
- Add Docker configuration
- Add documentation files
- Add .gitignore to exclude database and cache files

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

test_store_comparison.py

@@ -0,0 +1,72 @@
+import requests
+from datetime import datetime, timedelta
+
+# Test the store comparison API
+base_url = "http://localhost:8000"
+franchise_id = 1
+
+# Calculate date range (last month)
+end_date = datetime.now().date()
+start_date = (datetime.now() - timedelta(days=30)).date()
+
+url = f"{base_url}/api/franchise/stats/{franchise_id}/store_comparison"
+params = {
+    "start_date": str(start_date),
+    "end_date": str(end_date)
+}
+
+print(f"Testing URL: {url}")
+print(f"Parameters: {params}")
+print("-" * 50)
+
+try:
+    # Note: This will fail without authentication, but we can test the SQL directly
+    response = requests.get(url, params=params)
+    print(f"Status Code: {response.status_code}")
+    print(f"Response: {response.json()}")
+except Exception as e:
+    print(f"Error: {e}")
+    print("\nTesting SQL query directly...")
+    
+    import sqlite3
+    conn = sqlite3.connect('waiting_system.db')
+    cursor = conn.cursor()
+    
+    query = """
+    SELECT s.id, s.name, 
+           COUNT(CASE WHEN w.status = 'attended' THEN w.id ELSE NULL END) as attendance_count
+    FROM store s
+    LEFT JOIN waiting_list w ON s.id = w.store_id 
+        AND w.status = 'attended' 
+        AND w.attended_at >= ? 
+        AND w.attended_at <= ?
+    WHERE s.franchise_id = ? AND s.is_active = 1
+    GROUP BY s.id, s.name
+    ORDER BY s.name
+    """
+    
+    cursor.execute(query, (
+        f"{start_date} 00:00:00",
+        f"{end_date} 23:59:59",
+        franchise_id
+    ))
+    
+    results = cursor.fetchall()
+    print("\nDirect SQL Results:")
+    print("-" * 50)
+    for row in results:
+        print(f"ID: {row[0]}, Name: {row[1]}, Count: {row[2]}")
+    
+    # Simulate API response
+    print("\nSimulated API Response:")
+    print("-" * 50)
+    api_response = [
+        {
+            "store_name": row[1].replace("셀스타", "").strip(),
+            "count": row[2]
+        }
+        for row in results
+    ]
+    print(api_response)
+    
+    conn.close()