I wrote a method that does some stuff and catches bad filenames. what should happen is if the path doesn't exist, it throws an IOError. however, it thinks my exception handling is bad syntax... why??
def whatever():
try:
# do stuff
# and more stuff
except IOError:
# do this
pass
whatever()
but before it even gets to calling whatever(), it prints the following:
Traceback (most recent call last):
File "", line 1, in
File "getquizzed.py", line 55
except IOError:
^
SyntaxError: invalid syntax
when imported...help?!
Check your indenting. This unhelpful SyntaxError error has fooled me before. :)
From the deleted question:
I'd expect this to be a duplicate, but I couldn't find it.
Here's Python code, expected outcome of which should be obvious:
x = {1: False, 2: True} # no 3
for v in [1,2,3]:
try:
print x[v]
except Exception, e:
print e
continue
I get the following exception: SyntaxError: 'continue' not properly in loop.
I'd like to know how to avoid this error, which doesn't seem to be
explained by the continue documentation.
I'm using Python 2.5.4 and 2.6.1 on Mac OS X, in Django.
Thank you for reading
there's 1 more possible if you're privileged to have an older installation
and
you're using the 'as' syntax:
except IOError as ioe:
and
the parser's getting tripped up on 'as'.
Using as is the preferred syntax in Python 2.6 and better.
It's a syntax error in Python 2.5 and older. For pre-2.6, use this:
except IOError, ioe:
Just missing something in your try block, i.e. pass or anything, otherwise it gives an indentation error.
You will get a syntax error if you don't put something in side the try block.
You can put pass just to hold the space:
try:
# do stuff
# and more stuff
pass
except IOError:
# do this
pass
Related
Problem:
Sometimes it is nice to be able to remove or apply a try statement temporarily. Is there a convenient way to disable the try statement without re-indenting?
For example, if there was a python block statement equivalent called "goForIt:" one could edit the word "try:" to "goForIt:" and it would just execute the block as though it were not wrapped in a "try" and ignore the "except" line too.
The problem I'm trying to solve is that while I want the try statement in production I want to be able to remove it temporarily while debugging to see the error traceback rather than have it trap and process the exception.
Currently I work around this by commenting out the "try" then re-indent the code in the block. Then comment out the entire "except" block. This seems clumsy.
Instead of removing the try, you could make the except re-raise the exception:
try:
raise ValueError('whoops')
except ValueError as e:
raise # <-- just put this here
print('caught')
This will raise the error, just as if it were not caught:
ValueError Traceback (most recent call last)
<ipython-input-146-a6be6779c161> in <module>
1 try:
----> 2 raise ValueError('whoops')
3 except ValueError as e:
4 raise
5 print('caught')
ValueError: whoops
I do not believe there is a way to fix this.
Is it adequate to catch the exception, print it out and, if wanted, end the program?
try:
# code
except Exception as e:
print(e)
# end program if wanted
If you want a none code solution you need to use an IDE or a good text editor.
I am using Visual Studio code where I can indent with a keyboard shortcut (Ctrl + ` in my case)
(This is not my answer, but the answer from Alani's comment. If credits, find the original comment under the question.)
The solution is good because it allows global replacement:
try: --> if 1: # try:
except --> if 0: # except
The 2nd one is a little unsure. Exact and full word match should be used, or replace twice (for except<space> and except:). Or you can fix error fast by hand if there is any.
The replacement back is sure.
I need now such solution to debug error in strawberry which is only printed. So I think I need deactivate all try/except structures in 3 libraries (strawberry + 2 libs for django).
Right now, I catch the exception in the except Exception: clause, and do print(exception). The result provides no information since it always prints <class 'Exception'>. I knew this used to work in python 2, but how do I do it in python3?
I'm guessing that you need to assign the Exception to a variable. As shown in the Python 3 tutorial:
def fails():
x = 1 / 0
try:
fails()
except Exception as ex:
print(ex)
To give a brief explanation, as is a pseudo-assignment keyword used in certain compound statements to assign or alias the preceding statement to a variable.
In this case, as assigns the caught exception to a variable allowing for information about the exception to stored and used later, instead of needing to be dealt with immediately.
(This is discussed in detail in the Python 3 Language Reference: The try Statement.)
There are other compound statements that use as. The first is the with statement:
#contextmanager
def opening(filename):
f = open(filename)
try:
yield f
finally:
f.close()
with opening(filename) as f:
# ...read data from f...
Here, with statements are used to wrap the execution of a block with methods defined by context managers. This functions like an extended try...except...finally statement in a neat generator package, and the as statement assigns the generator-produced result from the context manager to a variable for extended use.
(This is discussed in detail in the Python 3 Language Reference: The with Statement.)
As of Python 3.10, match statements also use as:
from random import randint
match randint(0, 2):
case 0|1 as low:
print(f"{low} is a low number")
case _:
print("not a low number")
match statements take an expression (in this case, randint(0, 2)) and compare its value to each case branch one at a time until one of them succeeds, at which point it executes that branch's block. In a case branch, as can be used to assign the value of the branch to a variable if that branch succeeds. If it doesn't succeed, it is not bound.
(The match statement is covered by the tutorial and discussed in detail in the Python 3 Language Reference: match Statements.)
Finally, as can be used when importing modules, to alias a module to a different (usually shorter) name:
import foo.bar.baz as fbb
This is discussed in detail in the Python 3 Language Reference: The import Statement.
These are the changes since python 2:
try:
1 / 0
except Exception as e: # (as opposed to except Exception, e:)
# ^ that will just look for two classes, Exception and e
# for the repr
print(repr(e))
# for just the message, or str(e), since print calls str under the hood
print(e)
# the arguments that the exception has been called with.
# the first one is usually the message. (OSError is different, though)
print(e.args)
You can look into the standard library module traceback for fancier stuff.
Try
try:
print(undefined_var)
except Exception as e:
print(e)
this will print the representation given by e.__str__():
"name 'undefined_var' is not defined"
you can also use:
print(repr(e))
which will include the Exception class name:
"NameError("name 'undefined_var' is not defined",)"
Here is the way I like that prints out all of the error stack.
import logging
try:
1 / 0
except Exception as _e:
# any one of the follows:
# print(logging.traceback.format_exc())
logging.error(logging.traceback.format_exc())
The output looks as the follows:
ERROR:root:Traceback (most recent call last):
File "/PATH-TO-YOUR/filename.py", line 4, in <module>
1 / 0
ZeroDivisionError: division by zero
LOGGING_FORMAT :
LOGGING_FORMAT = '%(asctime)s\n File "%(pathname)s", line %(lineno)d\n %(levelname)s [%(message)s]'
Although if you want a code that is compatible with both python2 and python3 you can use this:
import logging
try:
1/0
except Exception as e:
if hasattr(e, 'message'):
logging.warning('python2')
logging.error(e.message)
else:
logging.warning('python3')
logging.error(e)
[In Python3]
Let's say you want to handle an IndexError and print the traceback, you can do the following:
from traceback import print_tb
empty_list = []
try:
x = empty_list[100]
except IndexError as index_error:
print_tb(index_error.__traceback__)
Note: You can use the format_tb function instead of print_tb to get the traceback as a string for logging purposes.
Hope this helps.
Don't use print(e), since that won't print a stack trace, which is a nightmare for debugging. traceback.print_exception is what you're looking for:
import traceback
try:
assert False
except Exception as e:
traceback.print_exception(e)
I've use this :
except (socket.timeout, KeyboardInterrupt) as e:
logging.debug("Exception : {}".format(str(e.__str__).split(" ")[3]))
break
Let me know if it does not work for you !!
You can do:
with self.assertRaisesMessage(ValueError, 'invalid literal for int()'):
int('a')
Reference
I'm debugging a complex program that has a block like this:
try:
lots()
of()
deeply()
nested()
code()
except BaseException as e:
log_error(str(e))
The error message that comes out is just Config file missing but that's not much help to me.
I'd really like to see exactly were that message comes from.
(Note that the error string is from an external program, so it's not searchable.)
If I use traceback I only get to see the stack trace after it's been wound back to the handler, which is not useful. I'd like to see the traceback at the source of the exception.
Any ideas?
Thanks!
For debugging purposes you can use traceback module to print stack trace
import traceback
try:
lots()
of()
deeply()
nested()
code()
except BaseException as e:
print traceback.format_exc()
log_error(str(e))
I have this little piece of code I wrote that isn't excepting the errors that could be thrown at it. Here's the code:
def println(stringint):
try:
print stringint
except (SyntaxError, NameError):
print "Invalid format."
I run the code from the python interpreter like this, and only like this:
>>> import pcl
>>> pcl.println("Hello")
Why aren't the errors being excepted? How can I catch the errors?
Those errors that has to do with syntax are parse level errors, which means, that are errors that take place before that particular code being interpreted.
The following arenĀ“t the same type of errors:
print("Hello) # Note the missing '"'
that
print(4/0) # Syntactically correct, but obviously an error.
Hence, syntax error can't be handled by the try -- except block.
See this answer for more detail: SyntaxError inconsistency in Python?
Your code works fine, "Hello" should raise neither an EOLError nor a NameError, because the quotes are closed, and it is a string.
I was looking to possibly try and save a traceback object and somehow pickle it to a file that I can access. An example of a use case for this is if I am submitting some python code to a farm computer to run and it fails, it would be nice to be able to open a session and access that traceback to debug the problem rather than just seeing a log of the traceback. I do not know if there is any sort of way to do this but thought it would be worth asking why it couldn't if so.
okay so you can use traceback.print_exception(type, value, traceback[, limit[, file]]) and save it in a text or json or you can refer to docs
if you find it helpful please mark it correct or upvote thanx..:)
Depending on how you've written your code, the try statement is probably your best answer. Since any error is just a class that inherits Python's builtin Exception, you can raise custom errors everywhere you need more information about a thrown error. You just need to rename your errors or pass in an appropriate string as the first argument. If you then try your code and use the except statement except CustomError as e, you can pull all the information you want out of e in the except statement as a regular instance. Example:
Your code would be:
def script():
try: codeblock
except Exception as e: raise Error1('You hit %s error in the first block'% e)
try: codeblock 2
except Exception as e: raise Error2('You hit %s error in the second block' % e)
try: script()
except Exception as e:
with open('path\to\file.txt','w') as outFile:
outFile.write(e)
The last part is really nothing more than creating your own log file, but you have to write it down somewhere, right?
As for using the traceback module mentioned above, you can get error information out of that. Any of the commands here can get you a list of tracebacks:
http://docs.python.org/2/library/traceback.html
On the otherhand, if you're trying to avoid looking at log files, the traceback module is only going to give you the same thing a log file would, in a different format. Adding your own error statements in your code gives you more information than a cryptic ValueError about what actually happened. If you print the traceback to your special error, it might give you still more information on your issue.