Context Managers And The 'with' Statement In Python: A Comprehensive Guide With Examples
In this article, we'll look at context managers and how they can be used with Python's "with
" statements and how to create our own custom context manager.
What Is Context Manager?
Resource management is critical in any programming language, and the use of system resources in programs is common.
Assume we are working on a project where we need to establish a database connection or perform file operations; these operations consume resources that are limited in supply, so they must be released after use; otherwise, issues such as running out of memory or file descriptors, or exceeding the maximum number of connections or network bandwidth can arise.
Context managers come to the rescue in these situations; they are used to prepare resources for use by the program and then free resources when the resources are no longer required, even if exceptions have occurred.
Why Use Context Manager?
As previously discussed, context managers provide a mechanism for the setup and teardown of the resources associated with the program. It improves the readability, conciseness, and maintainability of the code.
Consider the following example, in which we perform a file writing operation without using the with
statement.
# Opening file
file = open('sample.txt', 'w')
try:
# Writing data into file
data = file.write("Hello")
except Exception as e:
print(f"Error Occurred: {e}")
finally:
# Closing the file
file.close()
To begin, we had to write more lines of code in this approach, and we had to manually close the file in the finally
block.
Even if an exception occurs, finally
block will ensure that the file is closed. However, using the open()
function with the with
statement reduces the excess code and eliminates the need to manually close the file.
with open("sample.txt", "w") as file:
data = file.write("Hello")
In the preceding code, when the with
statement is executed, the open()
function's __enter__
method is called, which returns a file object. The file object is then assigned to the variable file
by the as
clause, and the content of the sample.txt
file is written using the variable file
. Finally, when the program exits execution, the __exit__
method is invoked to close the file.
We'll learn more about __enter__
and __exit__
methods in the upcoming sections.
We can check if the file is actually closed or not.
print(file.closed)
----------
True
We received the result True
, indicating that the file is automatically closed once the execution exits the with
block.
Using with Statement
If you used the with
statement, it is likely that you also used the context manager. The with
statement is probably most commonly used when opening a file.
# Opening a file
with open('sample.txt', 'r') as file:
content = file.read()
Here's a simple program that opens a text file and reads the content. When the open()
function is evaluated after the with
statement, context manager is obtained.
The context manager implements two methods called __enter__
and __exit__
. The __enter__
method is called at the start to prepare the resource to be used, and the __exit__
method is called at the end to release resources.
Python runs the above code in the following order:
The
with
statement is executed, and theopen()
function is called.The
open()
function's__enter__
method opens the file and returns the file object. Theas
clause then assigns the file object to thefile
variable.The inner block of the code
content = file.read()
gets executed.In the end, the
__exit__
method is called to perform the cleanup and closing of the file.
Let's define and implement both these methods in a Python class and try to understand the execution flow of the program.
Creating Context Manager
The context manager will be created by implementing the __enter__
and __exit__
methods within the class. Any class that has both of these methods can act as a context manager.
Defining a Python class
# Creating a class-based context manager
class Conmanager:
def __enter__(self):
print("Context Manager's enter method is called.")
def __exit__(self, exc_type, exc_val, exc_tb):
print("Exit method is called...")
print(f'Exception Type: {exc_type}')
print(f'Exception Value: {exc_val}')
print(f'Exception Traceback: {exc_tb}')
# Using the "with" stmt
with Conmanager() as cn:
print("Inner block of code within the 'with' statement.")
First, we created a class named Conmanager
and defined the __enter__
and __exit__
methods inside the class. Then we created the Conmanager
object and assigned it to the variable cn
using the as
clause. We will get the following output after running the above program.
Context Manager's enter method is called.
Inner block of code within the 'with' statement.
Exit method is called...
Exception Type: None
Exception Value: None
Exception Traceback: None
When the with
block is executed, Python orders the execution flow as follows:
As we can see from the output, the
__enter__
method is called first.The code contained within the
with
statement is executed.To exit the
with
statement block, the__exit__
method is called at the end.
We can see in the output that we got None
values for the exc_type
, exc_val
, and exc_tb
parameters passed inside the __exit__
method of the class Conmanager
.
When an exception occurs while executing the with
statement, these parameters take effect.
exc_type
- displays the type of exception.exc_val
- displays the message of the exception.exc_tb
- displays the traceback object of the exception.
Consider the following example, which shows how these parameters were used when an exception occurred.
# Creating a class-based context manager
class Conmanager:
def __enter__(self):
print("Enter method is called.")
return "Do some stuff"
def __exit__(self, exc_type, exc_val, exc_tb):
print("Exit method is called...")
print(f'Exception Type: {exc_type}')
print(f'Exception Value: {exc_val}')
print(f'Exception Traceback: {exc_tb}')
# Using the "with" stmt
with Conmanager() as cn:
print(cn)
# Raising exception on purpose
cn.read()
When we run the above code, we get the following result.
Enter method is called.
Do some stuff
Exit method is called...
Exception Type: <class 'AttributeError'>
Exception Value: 'str' object has no attribute 'read'
Exception Traceback: <traceback object at 0x00000276057D4800>
Traceback (most recent call last):
....
cn.read()
AttributeError: 'str' object has no attribute 'read'
Instead of getting None
values, we got the AttributeError
, as shown in the output above and those three parameters displayed certain values.
exc_type
displayed the<class 'AttributeError'>
value.exc_val
displayed the'str' object has no attribute 'read'
message.exc_tb
displayed the<traceback object at 0x00000276057D4800>
value.
Example
In the following example, we've created a context manager class that will reverse a sequence.
class Reverse:
def __init__(self, data):
self.data = data
def __enter__(self):
self.operate = self.data[:: -1]
return self.operate
def __exit__(self, exc_type, exc_val, exc_tb):
pass
with Reverse("Geek") as rev:
print(f"Reversed string: {rev}")
We've created a class called Reverse
and defined the __init__
method, which takes data
, the __enter__
method, which operates on the data
and returns the reversed version of it, and the __exit__
method, which does nothing.
Then we used the with
statement to call the context manager's object, passing the sequence "Geek"
and assigning it to the rev
using the as
clause before printing it. We will get the following output after running the above code.
Reversed string: keeG
The upper code contains a flaw because we did not include any exception-handling code within the __exit__
method. What if we run into an exception?
with Reverse("Geek") as rev:
# Modified the code from here
print(rev.copy())
We changed the code within the with
statement and attempted to print the rev.copy()
. This will result in an error.
Traceback (most recent call last):
....
print(f"Reversed string: {rev.copy()}")
AttributeError: 'str' object has no attribute 'copy'
Exception Handling
Let's include the exception handling code in the __exit__
method.
class Reverse:
def __init__(self, data):
self.data = data
def __enter__(self):
self.operate = self.data[:: -1]
return self.operate
def __exit__(self, exc_type, exc_val, exc_tb):
if exc_type is None:
return self.operate
else:
print(f"Exception occurred: {exc_type}")
print(f"Exception message: {exc_val}")
return True
with Reverse("Geek") as rev:
print(rev.copy())
print("Execution of the program continues...")
First, we defined the condition to return the reversed sequence if the exc_type
is None
, otherwise, return the exception type and message in a nicely formatted manner.
Exception occurred: <class 'AttributeError'>
Exception message: 'str' object has no attribute 'copy'
Execution of the program continues...
The exception was handled correctly by the __exit__
method, and because we returned True
when the error occurs, the program execution continues even after exiting the with
statement block and we know because the print
statement was executed which is written outside the with
block.
Conclusion
Context managers provide a way to manage resources efficiently like by preparing them to use and then releasing them after they are no longer needed. The context managers can be used with Python's with
statement to handle the setup and teardown of resources in the program.
However, we can create our own custom context manager by implementing the enter(setup) logic and exit(teardown) logic within a Python class.
In this article, we've learned:
What is context manager and why they are used
Using context manager with the
with
statementImplementing context management protocol within a class
🏆Other articles you might be interested in if you liked this one
✅Understanding the basics of abstract base class(ABC) in Python.
✅Implement __getitem__, __setitem__ and __delitem__ in Python class to get, set and delete items.
✅Generate and manipulate temporary files using tempfile in Python.
✅Using match-case statement for pattern matching in Python.
✅Comparing the sort() and sorted() function in Python.
✅Using str and repr to change string representation of the objects in Python.
That's all for now
KeepCoding✌✌
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Written by
Sachin Pal
Sachin Pal
I am a self-taught Python developer who loves to write on Python Programming and quite obsessed with Machine Learning.