from collections import namedtuple
from typing import NamedTuple # For type hinting in modern Python

# --- Option 1: Using collections.namedtuple (legacy but widely used) ---

# Define a named tuple for an API user profile
UserProfileLegacy = namedtuple('UserProfileLegacy', ['id', 'username', 'email', 'is_active'])

# Create an instance
user1_legacy = UserProfileLegacy(id=1, username='john_doe', email='john@example.com', is_active=True)

# Access data by name (more readable than index)
print(f"Legacy User 1 Username: {user1_legacy.username}")
print(f"Legacy User 1 Email: {user1_legacy.email}")

# Named tuples are immutable
# try:
#     user1_legacy.username = 'new_john'
# except AttributeError as e:
#     print(f"Error: {e}") # Can't set attribute

print("
---")

# --- Option 2: Using typing.NamedTuple (recommended for modern Python with type hinting) ---

class UserProfile(NamedTuple):
    id: int
    username: str
    email: str
    is_active: bool

# Create an instance
user1 = UserProfile(id=2, username='jane_smith', email='jane@example.com', is_active=False)

# Access data by name
print(f"Modern User 1 ID: {user1.id}")
print(f"Modern User 1 Email: {user1.email}")

# Supports default values and type hints
class Product(NamedTuple):
    product_id: str
    name: str
    price: float
    currency: str = 'USD' # Default value

product1 = Product(product_id='P001', name='Widget A', price=29.99)
product2 = Product(product_id='P002', name='Gadget B', price=99.00, currency='EUR')

print(f"
Product 1: {product1}")
print(f"Product 2 Currency: {product2.currency}")