Error Handling in Python using Decorators
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Decorators in Python is one of the most useful concepts supported by Python. It takes functions as arguments and also has a nested function. They extend the functionality of the nested function.
Example:
- 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
(
"outter function"
)
out_function()
Output:
Decorator called inner function outter function
Error handling using decorators
The following example shows how a general error handling code without use of any decorator looks like:
- Python3
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"
)
Output :
4.5 441 0.5 wrong data types. enter numeric
Even though there is nothing logically wrong with the above code but it lacks clarity. To make the code more clean and efficient decorators are used for error handling. The following example depicts how the above code can be more presentable and understandable by use of decorators:
- Python3
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"
)
Output :
Square wrong data types. enter numeric
Divide wrong data types. enter numeric
Mean wrong data types. enter numeric
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