This is how I do it. try: do_something() except: # How can I log my exception here, complete with its traceback? import traceback traceback. format_exc() # this will print a complete trace to stout.
exception is short for logging. error(..., exc_info=True), so if you intend to log the exception as an error it would be better to use logging. exception. If you want to log a formatted exception at a log level other than error you must use exc_info=True.
In Python, A traceback is a report containing the function calls made in your code at a specific point i.e when you get an error it is recommended that you should trace it backward(traceback). Whenever the code gets an exception, the traceback will give the information about what went wrong in the code.
Print Stack Trace in Python Using traceback Module The traceback. format_exc() method returns a string that contains the information about exception and stack trace entries from the traceback object. We can use the format_exc() method to print the stack trace with the try and except statements.
Use logging.exception
from within the except:
handler/block to log the current exception along with the trace information, prepended with a message.
import logging
LOG_FILENAME = '/tmp/logging_example.out'
logging.basicConfig(filename=LOG_FILENAME, level=logging.DEBUG)
logging.debug('This message should go to the log file')
try:
run_my_stuff()
except:
logging.exception('Got exception on main handler')
raise
Now looking at the log file, /tmp/logging_example.out
:
DEBUG:root:This message should go to the log file
ERROR:root:Got exception on main handler
Traceback (most recent call last):
File "/tmp/teste.py", line 9, in <module>
run_my_stuff()
NameError: name 'run_my_stuff' is not defined
Use exc_info
options may be better, remains warning or error title:
try:
# coode in here
except Exception as e:
logging.error(e, exc_info=True)
My job recently tasked me with logging all the tracebacks/exceptions from our application. I tried numerous techniques that others had posted online such as the one above but settled on a different approach. Overriding traceback.print_exception
.
I have a write up at http://www.bbarrows.com/ That would be much easier to read but Ill paste it in here as well.
When tasked with logging all the exceptions that our software might encounter in the wild I tried a number of different techniques to log our python exception tracebacks. At first I thought that the python system exception hook, sys.excepthook would be the perfect place to insert the logging code. I was trying something similar to:
import traceback
import StringIO
import logging
import os, sys
def my_excepthook(excType, excValue, traceback, logger=logger):
logger.error("Logging an uncaught exception",
exc_info=(excType, excValue, traceback))
sys.excepthook = my_excepthook
This worked for the main thread but I soon found that the my sys.excepthook would not exist across any new threads my process started. This is a huge issue because most everything happens in threads in this project.
After googling and reading plenty of documentation the most helpful information I found was from the Python Issue tracker.
The first post on the thread shows a working example of the sys.excepthook
NOT persisting across threads (as shown below). Apparently this is expected behavior.
import sys, threading
def log_exception(*args):
print 'got exception %s' % (args,)
sys.excepthook = log_exception
def foo():
a = 1 / 0
threading.Thread(target=foo).start()
The messages on this Python Issue thread really result in 2 suggested hacks. Either subclass Thread
and wrap the run method in our own try except block in order to catch and log exceptions or monkey patch threading.Thread.run
to run in your own try except block and log the exceptions.
The first method of subclassing Thread
seems to me to be less elegant in your code as you would have to import and use your custom Thread
class EVERYWHERE you wanted to have a logging thread. This ended up being a hassle because I had to search our entire code base and replace all normal Threads
with this custom Thread
. However, it was clear as to what this Thread
was doing and would be easier for someone to diagnose and debug if something went wrong with the custom logging code. A custome logging thread might look like this:
class TracebackLoggingThread(threading.Thread):
def run(self):
try:
super(TracebackLoggingThread, self).run()
except (KeyboardInterrupt, SystemExit):
raise
except Exception, e:
logger = logging.getLogger('')
logger.exception("Logging an uncaught exception")
The second method of monkey patching threading.Thread.run
is nice because I could just run it once right after __main__
and instrument my logging code in all exceptions. Monkey patching can be annoying to debug though as it changes the expected functionality of something. The suggested patch from the Python Issue tracker was:
def installThreadExcepthook():
"""
Workaround for sys.excepthook thread bug
From
http://spyced.blogspot.com/2007/06/workaround-for-sysexcepthook-bug.html
(https://sourceforge.net/tracker/?func=detail&atid=105470&aid=1230540&group_id=5470).
Call once from __main__ before creating any threads.
If using psyco, call psyco.cannotcompile(threading.Thread.run)
since this replaces a new-style class method.
"""
init_old = threading.Thread.__init__
def init(self, *args, **kwargs):
init_old(self, *args, **kwargs)
run_old = self.run
def run_with_except_hook(*args, **kw):
try:
run_old(*args, **kw)
except (KeyboardInterrupt, SystemExit):
raise
except:
sys.excepthook(*sys.exc_info())
self.run = run_with_except_hook
threading.Thread.__init__ = init
It was not until I started testing my exception logging I realized that I was going about it all wrong.
To test I had placed a
raise Exception("Test")
somewhere in my code. However, wrapping a a method that called this method was a try except block that printed out the traceback and swallowed the exception. This was very frustrating because I saw the traceback bring printed to STDOUT but not being logged. It was I then decided that a much easier method of logging the tracebacks was just to monkey patch the method that all python code uses to print the tracebacks themselves, traceback.print_exception. I ended up with something similar to the following:
def add_custom_print_exception():
old_print_exception = traceback.print_exception
def custom_print_exception(etype, value, tb, limit=None, file=None):
tb_output = StringIO.StringIO()
traceback.print_tb(tb, limit, tb_output)
logger = logging.getLogger('customLogger')
logger.error(tb_output.getvalue())
tb_output.close()
old_print_exception(etype, value, tb, limit=None, file=None)
traceback.print_exception = custom_print_exception
This code writes the traceback to a String Buffer and logs it to logging ERROR. I have a custom logging handler set up the 'customLogger' logger which takes the ERROR level logs and send them home for analysis.
You can log all uncaught exceptions on the main thread by assigning a handler to sys.excepthook
, perhaps using the exc_info
parameter of Python's logging functions:
import sys
import logging
logging.basicConfig(filename='/tmp/foobar.log')
def exception_hook(exc_type, exc_value, exc_traceback):
logging.error(
"Uncaught exception",
exc_info=(exc_type, exc_value, exc_traceback)
)
sys.excepthook = exception_hook
raise Exception('Boom')
If your program uses threads, however, then note that threads created using threading.Thread
will not trigger sys.excepthook
when an uncaught exception occurs inside them, as noted in Issue 1230540 on Python's issue tracker. Some hacks have been suggested there to work around this limitation, like monkey-patching Thread.__init__
to overwrite self.run
with an alternative run
method that wraps the original in a try
block and calls sys.excepthook
from inside the except
block. Alternatively, you could just manually wrap the entry point for each of your threads in try
/except
yourself.
You can get the traceback using a logger, at any level (DEBUG, INFO, ...). Note that using logging.exception
, the level is ERROR.
# test_app.py
import sys
import logging
logging.basicConfig(level="DEBUG")
def do_something():
raise ValueError(":(")
try:
do_something()
except Exception:
logging.debug("Something went wrong", exc_info=sys.exc_info())
DEBUG:root:Something went wrong
Traceback (most recent call last):
File "test_app.py", line 10, in <module>
do_something()
File "test_app.py", line 7, in do_something
raise ValueError(":(")
ValueError: :(
EDIT:
This works too (using python 3.6)
logging.debug("Something went wrong", exc_info=True)
What I was looking for:
import sys
import traceback
exc_type, exc_value, exc_traceback = sys.exc_info()
traceback_in_var = traceback.format_tb(exc_traceback)
See:
Uncaught exception messages go to STDERR, so instead of implementing your logging in Python itself you could send STDERR to a file using whatever shell you're using to run your Python script. In a Bash script, you can do this with output redirection, as described in the BASH guide.
Append errors to file, other output to the terminal:
./test.py 2>> mylog.log
Overwrite file with interleaved STDOUT and STDERR output:
./test.py &> mylog.log
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