How you can Troubleshoot Python Scripts with the Logging Module | by Aashish Nair | Aug, 2023

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.

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