Print statements can solely take you to this point…
Desk of Contents
∘ Introduction
∘ The Logging Module
∘ The Levels of Logging
∘ Configuring Levels
∘ Configuring Levels for Debugging
∘ Creating Log Files
∘ Formatting Log Messages
∘ Key Takeaways
Introduction
Think about the next state of affairs: You’ve written a chunk of code that both returns an error or yields an sudden worth.
x1 = function1(x)
x2 = function2(x1)
x3 = function3(x2)
To seek out the inaccurate line of code, you write a print assertion…
x1 = function1(x)
print(x)
x2 = function2(x1)
x3 = function3(x2)
Then add one other print assertion…
x1 = function1(x)
print(x)
x2 = function2(x1)
print(x)
x3 = function3(x2)
Then observe it up with one other print assertion.
x1 = function1(x)
print(x)
x2 = function2(x1)
print(x)
x3 = function3(x2)
print(x)
When you’ve recognized and glued the problem, these print statements are ineffective. So, you delete or remark out every of them one after the other:
x1 = function1(x)
#print(x)
x2 = function2(x1)
#print(x)
x3 = function3(x2)
#print(x)
In case your troubleshooting expertise resembles the state of affairs above, you’re already aware of the frustration of utilizing print statements to take care of inaccurate strains of code.
Luckily, there’s a software in Python that provides a way more efficient technique for debugging code: the logging module.
Right here, we delve into the essential functionalities of the logging module and discover the options that make it such a strong troubleshooting software.
The Logging Module
The logging module is designed for programmers trying to monitor sure occasions of their applications successfully.
