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Capturing Stack Traces

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The logging module also allows you to capture the full stack traces in an application. Exception information can be captured if the exc_info parameter is passed as True, and the logging functions are called like this:

import logging

a = 5
b = 0

  c = a / b
except Exception as e:
  logging.error("Exception occurred", exc_info=True)

Here’s what you’d get:

ERROR:root:Exception occurred
Traceback (most recent call last):
  File "", line 6, in <module>
    c = a / b
ZeroDivisionError: division by zero
[Finished in 0.2s]

If exc_info is not set to True, the output of the above program would not tell us anything about the exception, which, in a real-world scenario, might not be as simple as a ZeroDivisionError. Imagine trying to debug an error in a complicated codebase with a log that shows only this:

ERROR:root:Exception occurred

00:00 It’s great being able to log events, but what if we want to log something critical, like a crash? We can do that by logging the stack trace. All we have to do is pass the exc_info parameter, short for exception info, as True.

00:18 We can pass this to any of the severity level functions. If exc_info is False, the exception won’t be included in the log, just the message.

00:30 Here’s an example of this in action. In this code, I’m trying to divide 5 by 0, which as you can probably guess is going to raise a ZeroDivisionError.

00:41 If you’re not familiar with exceptions, I’d highly recommend you check out our video course on Python exceptions by Darren Jones. But basically, Python will try to divide 5 by 0, realize that it can’t, and then instead of just crashing, it will first log the exception.

00:59 That’s the last line that says logging.error('Exception occurred', exc_info=True).

01:08 Now, when we look at the output, we’ll see the standard log output for an error, as well as the stack trace beneath it. This is a lifesaver in a large-scale application with lots of moving parts.

01:22 Could you imagine if the only log output we saw was Exception occurred?

01:28 Alternatively, instead of passing the exc_info parameter to one of the severity level functions, we can simply call logging.exception().

01:38 This is the equivalent of saying logging.error(exc_info=True). That means that logging.exception() uses the level of ERROR.

01:50 If you want to use a different level, add the exc_info parameter to that level’s function, like we did before. logging.exception() is only a shorthand for logging ERROR level events.

02:03 Next, let’s see how we can create our own custom loggers.

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