Real-World Applications of Class Decorators
Class decorators have a wide range of real-world applications in Python. Here are a few examples:
Logging and Monitoring
One common use case for class decorators is to add logging or monitoring functionality to a class. For example, you could use a decorator to log the inputs and outputs of each method in a class:
def log_methods(cls):
for name, method in vars(cls).items():
if callable(method):
setattr(cls, name, log_method(method))
return cls
def log_method(method):
def wrapper(*args, **kwargs):
print(f"Calling method: {method.__name__}")
result = method(*args, **kwargs)
print(f"Method returned: {result}")
return result
return wrapper
@log_methods
class MyClass:
def __init__(self, x, y):
self.x = x
self.y = y
def add(self, a, b):
return a + b
In this example, the log_methods
decorator adds logging functionality to each method in the MyClass
class.
Caching and Memoization
Another common use case for class decorators is to add caching or memoization functionality to a class. For example, you could use a decorator to cache the results of expensive computations:
from functools import lru_cache
def cached(cls):
for name, method in vars(cls).items():
if callable(method):
setattr(cls, name, lru_cache()(method))
return cls
@cached
class MyClass:
def __init__(self, x, y):
self.x = x
self.y = y
def compute_expensive_result(self, a, b):
## Perform some expensive computation
return a * b
In this example, the cached
decorator uses the lru_cache
function from the functools
module to add caching functionality to the compute_expensive_result
method of the MyClass
class.
Class decorators can also be used to add input validation functionality to a class. For example, you could use a decorator to ensure that the input to a method is within a certain range:
def validate_input(min_value, max_value):
def decorator(method):
def wrapper(self, x):
if min_value <= x <= max_value:
return method(self, x)
else:
raise ValueError(f"Input must be between {min_value} and {max_value}")
return wrapper
return decorator
class MyClass:
@validate_input(0, 100)
def do_something(self, x):
## Perform some operation on x
return x * 2
In this example, the validate_input
decorator takes a minimum and maximum value as input, and returns a new decorator that checks the input to the do_something
method to ensure that it is within the specified range.
These are just a few examples of the real-world applications of class decorators in Python. Class decorators can be a powerful tool for adding functionality to your classes in a modular and reusable way.