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HomeBackend DevelopmentPython TutorialHow Do I Effectively Raise Exceptions in Python?

How Do I Effectively Raise Exceptions in Python?

Raising Exceptions in Python

In Python, exceptions serve as a means of signalling errors or exceptional conditions during program execution. To manually raise an exception, the raise statement is utilized.

Manually Raising Exceptions

To raise an exception, employ the constructor for the specific Exception class that best describes your issue. For instance:

raise ValueError('A very specific bad thing happened.')

This allows you to provide a customized error message that makes it easier to identify the culprit.

Avoidance of Generic Exceptions

Refrain from raising generic Exceptions like Exception. These become difficult to catch as you'll have to catch all subclassed, more specific exceptions as well.

Best Practices: The raise Statement

Use the raise statement with the most specific Exception constructor that fits your situation. You can also pass arguments to the constructor:

raise ValueError('A very specific bad thing happened', 'foo', 'bar', 'baz')

These arguments can be retrieved using the args attribute of the Exception object.

Best Practices: The except Clause

When handling exceptions, you may want to log specific errors and re-raise them. Preserve the stack trace by using a bare raise statement:

logger = logging.getLogger(__name__)

try:
    do_something_in_app_that_breaks_easily()
except AppError as error:
    logger.error(error)
    raise  # just this!
    # raise AppError  # Don't do this, you'll lose the stack trace!

Modifying Errors: Exercise Caution

While it's possible to modify errors using sys.exc_info(), prefer a bare raise for preserving the stack trace. This can be particularly problematic when using threading, as you may capture the wrong traceback.

Exception Chaining (Python 3 Only)

In Python 3, you can chain exceptions to preserve tracebacks:

raise RuntimeError('specific message') from error

Deprecated Methods

Avoid the following as they can silently catch and hide errors or even silently raise the wrong exception:

raise ValueError, 'message'  # Deprecated
raise 'message'  # Seriously wrong, don't do this

Example Usage

An example of raising an exception for incorrect API usage:

def api_func(foo):
    '''foo should be either 'baz' or 'bar'. returns something very useful.'''
    if foo not in _ALLOWED_ARGS:
        raise ValueError('{foo} wrong, use "baz" or "bar"'.format(foo=repr(foo)))

Creating Custom Error Types

You can define custom error types to indicate specific application-related errors:

class MyAppLookupError(LookupError):
    '''raise this when there's a lookup error for my app'''

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