使用装饰器在Python中处理错误

PythonPython的最有用的概念之一。它接受函数作为参数并且还有一个嵌套函数。它们扩展了嵌套函数的功能。

例子：

Python3

# defining decorator function
def decorator_example(func):
    print("Decorator called")
    # defining inner decorator function
    def inner_function():
            print("inner function")
            func()
    return inner_function
   
# defining outer decorator function
@decorator_example
def out_function():
    print("outer function")
out_function()

输出：

Decorator called
inner function
outer function

使用装饰器处理错误

以下示例显示了不使用任何装饰器的一般错误处理代码的样子：

蟒蛇3

def mean(a,b):
    try:
        print((a+b)/2)
    except TypeError:
        print("wrong data types. enter numeric")
 
 
def square(sq):
    try:
        print(sq*sq)
    except TypeError:
        print("wrong data types. enter numeric")
 
 
def divide(l,b):
    try:
        print(b/l)
    except TypeError:
                print("wrong data types. enter numeric")
mean(4,5)
square(21)
divide(8,4)
divide("two","one")

输出 ：

4.5
441
0.5
wrong data types. enter numeric

即使上面的代码在逻辑上没有任何错误，但它缺乏清晰度。为了使代码更干净和高效，装饰器用于错误处理。下面的示例描述了如何通过使用装饰器使上述代码更易于理解：

蟒蛇3

def Error_Handler(func):
    def Inner_Function(*args, **kwargs):
        try:
            func(*args, **kwargs)
        except TypeError:
            print(f"{func.__name__} wrong data types. enter numeric")
    return Inner_Function
@Error_Handler
def Mean(a,b):
        print((a+b)/2)
     
@Error_Handler
def Square(sq):
        print(sq*sq)
 
@Error_Handler
def Divide(l,b):
        print(b/l)
     
Mean(4,5)
Square(14)
Divide(8,4)
Square("three")
Divide("two","one")
Mean("six","five")

输出 ：

4.5 

196 

0.5 

Square wrong data types. enter numeric 

Divide wrong data types. enter numeric 

Mean wrong data types. enter numeric