The logs I am creating in Python are intended to be temporarily stored as files which will, in turn, be processed into a log database. They take a pipe-delineated format to dictate how the logs will be processed, but logging.exception() is breaking my standard by adding one too many fields and way too many newlines.
import logging
logging.basicConfig(filename='output.txt',
format='%(asctime)s|%(levelname)s|%(message)s|',
datefmt='%m/%d/%Y %I:%M:%S %p',
level=logging.DEBUG)
logging.info('Sample message')
try:
x = 1 / 0
except ZeroDivisionError as e:
logging.exception('ZeroDivisionError: {0}'.format(e))
# output.txt
01/27/2015 02:09:01 PM|INFO|Sample message|
01/27/2015 02:09:01 PM|ERROR|ZeroDivisionError: integer division or modulo by zero|
Traceback (most recent call last):
File "C:\Users\matr06586\Desktop\ETLstage\Python\blahblah.py", line 90, in <module>
x = 1 / 0
ZeroDivisionError: integer division or modulo by zero
How can I best handle or format tracebacks with the whitespace and newlines? These messages are part and parcel in logging.exception(), but it feels odd to circumvent the function when I am attempting to document instances of exceptions. How do I record my tracebacks and format them too? Should the tracebacks be ignored?
Thank you for your time!
To log an exception in Python we can use logging module and through that we can log the error. Logging an exception in python with an error can be done in the logging. exception() method. This function logs a message with level ERROR on this logger.
It depends on the situation, but logging and then raising an exception is generally considered an antipattern. It's redundant and clutters logs. Unless you're expecting something to catch that exception and suppress the message, don't log. Pythonic is not really a look as it is the formatting of code.
You can log the problem in catch block and throw a new unchecked exception (of course with passing the previous one inside). In such solution there is no overflow in the logs and exception still bubble up to the highest level.
You can define your own Formatter
whose methods you can override to format exception information exactly how you want it. Here is a simplistic (but working) example:
import logging
class OneLineExceptionFormatter(logging.Formatter):
def formatException(self, exc_info):
result = super(OneLineExceptionFormatter, self).formatException(exc_info)
return repr(result) # or format into one line however you want to
def format(self, record):
s = super(OneLineExceptionFormatter, self).format(record)
if record.exc_text:
s = s.replace('\n', '') + '|'
return s
fh = logging.FileHandler('output.txt', 'w')
f = OneLineExceptionFormatter('%(asctime)s|%(levelname)s|%(message)s|', '%m/%d/%Y %I:%M:%S %p')
fh.setFormatter(f)
root = logging.getLogger()
root.setLevel(logging.DEBUG)
root.addHandler(fh)
logging.info('Sample message')
try:
x = 1 / 0
except ZeroDivisionError as e:
logging.exception('ZeroDivisionError: {0}'.format(e))
This produces just two lines:
01/28/2015 07:28:27 AM|INFO|Sample message|
01/28/2015 07:28:27 AM|ERROR|ZeroDivisionError: integer division or modulo by zero|'Traceback (most recent call last):\n File "logtest2.py", line 23, in <module>\n x = 1 / 0\nZeroDivisionError: integer division or modulo by zero'|
Of course, you can build on this example to do precisely what you want, e.g. via the traceback
module.
For my usecase Vinay Sajip's code did not work good enough (I worked with more complex message format), so I came up with this one (for me it's also cleaner):
class OneLineExceptionFormatter(logging.Formatter):
def format(self, record):
if record.exc_info:
# Replace record.msg with the string representation of the message
# use repr() to prevent printing it to multiple lines
record.msg = repr(super().formatException(record.exc_info))
record.exc_info = None
record.exc_text = None
result = super().format(record)
return result
So this format() method can detect that an exception is going to be logged and can just convert it to its string representation and formatting of the log message happen simply for that plain message string. I tested it in python 3.
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