traceback.format_exc() will yield more info if that's what you want.

import traceback

def do_stuff():
    raise Exception("test exception")

try:
    do_stuff()
except Exception:
    print(traceback.format_exc())

This outputs:

Traceback (most recent call last):
  File "main.py", line 9, in <module>
    do_stuff()
  File "main.py", line 5, in do_stuff
    raise Exception("test exception")
Exception: test exception
Answer from volting on Stack Overflow
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Python
docs.python.org › 3 › library › traceback.html
traceback — Print or retrieve a stack traceback
This module provides a standard interface to extract, format and print stack traces of Python programs. It is more flexible than the interpreter’s default traceback display, and therefore makes it possible to configure certain aspects of the ...
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Real Python
realpython.com › ref › stdlib › traceback
traceback | Python Standard Library – Real Python
The Python traceback module provides utilities for working with error tracebacks in Python programs.
Discussions

Catch and print full Python exception traceback without halting/exiting the program - Stack Overflow
Some other answer have already pointed out the traceback module. Please notice that with print_exc, in some corner cases, you will not obtain what you would expect. In Python 2.x: More on stackoverflow.com
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How to resolve ModuleNotFoundError
C:/Users/LENOVO/Desktop/All-folder/personal/LLM/venv/ This part of the error tells us right away you have a virtual environment. You need to make sure you have activated the virtual environment before running the pip install command, otherwise you will install the library to the wrong location, and this will fail. In order to activate the virtual environment, navigate to C:/Users/LENOVO/Desktop/All-folder/personal/LLM, then run the command ./venv/Scripts/activate. You will know this worked if you see the command prompt change and (venv) appears to the left of the folder: C:\Users\LENOVO\Desktop\All-folder\personal\LLM> venv\Scripts\activate (venv) C:\Users\LENOVO\Desktop\All-folder\personal\LLM> This is visual confirmation you have the virtual environment activated. If you installed python to the PATH, running pip directly might still run the system version of pip, not the one included in the virtual environment. To double check which copy of pip is being run, you can run the command where pip to find out what is being run when you type pip install into the terminal. If you have activated the virtual environment, where pip should return something like: C:\Users\LENOVO\Desktop\All-folder\personal\LLM\venv\Scripts\pip.exe If it instead points to wherever you installed your system copy of python, we need to check if python points to the venv or to the system copy, so run where python. If it shows C:\Users\LENOVO\Desktop\All-folder\personal\LLM\venv\Scripts\python.exe as the first (or only) result, then you'll need to run the command to install openai as python -m pip install openai. If it shows wherever you installed python, you'll need to change directory to C:\Users\LENOVO\Desktop\All-folder\personal\LLM\venv\Scripts\ and run python.exe -m pip install openai. This should ensure that you are actually installing openai into the correct location. More on reddit.com
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TypeError: 'module' object is not callable
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April 23, 2024
Traceback (most recent call last): File "c:\python\project\main.py", line 9, in <module> from cryptography.fernet import Fernet ModuleNotFoundError: No module named 'cryptography'
Probably you have two different pythons, you did pip install in one and try to run your code in the other. If you are using an IDE like pycharm/vscode/whatever it typically has a built-in Python, you need to either do the pip install in that environment or configure the IDE to use an external Python interpreter where you did the pip install.. but yeah this looks like an issue with your Python/system setup, not really related to kivy More on reddit.com
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W3Schools
w3schools.com › python › ref_module_traceback.asp
Python traceback Module
The traceback module extracts, formats, and prints stack traces of Python exceptions.
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GeeksforGeeks
geeksforgeeks.org › python › traceback-in-python
Traceback in Python - GeeksforGeeks
August 1, 2020 - Traceback is a python module that provides a standard interface to extract, format and print stack traces of a python program. When it prints the stack trace it exactly mimics the behaviour of a python interpreter.
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Python Module of the Week
pymotw.com › 2 › traceback
traceback – Extract, format, and print exceptions and stack traces. - Python Module of the Week
Now available for Python 3! Buy the book! ... The traceback module works with the call stack to produce error messages. A traceback is a stack trace from the point of an exception handler down the call chain to the point where the exception was raised.
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Coursera
coursera.org › tutorials › how to print, read, and format a python traceback
How to Print, Read, and Format a Python Traceback | Coursera
March 10, 2023 - A traceback is a Python module you can use to trace an error back to its source. It reports the function calls made at a specific point in your code. When your code throws (or raises) an exception, Python provides a traceback.
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Python
docs.python.org › 3.10 › library › traceback.html
traceback — Print or retrieve a stack traceback — Python 3.10.19 documentation
For a more complete implementation of the interpreter loop, refer to the code module. import sys, traceback def run_user_code(envdir): source = input(">>> ") try: exec(source, envdir) except Exception: print("Exception in user code:") print("-"*60) traceback.print_exc(file=sys.stdout) print("-"*60) envdir = {} while True: run_user_code(envdir)
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Top answer
1 of 16
1534

traceback.format_exc() will yield more info if that's what you want.

import traceback

def do_stuff():
    raise Exception("test exception")

try:
    do_stuff()
except Exception:
    print(traceback.format_exc())

This outputs:

Traceback (most recent call last):
  File "main.py", line 9, in <module>
    do_stuff()
  File "main.py", line 5, in do_stuff
    raise Exception("test exception")
Exception: test exception
2 of 16
880

Some other answer have already pointed out the traceback module.

Please notice that with print_exc, in some corner cases, you will not obtain what you would expect. In Python 2.x:

import traceback

try:
    raise TypeError("Oups!")
except Exception, err:
    try:
        raise TypeError("Again !?!")
    except:
        pass

    traceback.print_exc()

...will display the traceback of the last exception:

Traceback (most recent call last):
  File "e.py", line 7, in <module>
    raise TypeError("Again !?!")
TypeError: Again !?!

If you really need to access the original traceback one solution is to cache the exception infos as returned from exc_info in a local variable and display it using print_exception:

import traceback
import sys

try:
    raise TypeError("Oups!")
except Exception, err:
    try:
        exc_info = sys.exc_info()

        # do you usefull stuff here
        # (potentially raising an exception)
        try:
            raise TypeError("Again !?!")
        except:
            pass
        # end of useful stuff


    finally:
        # Display the *original* exception
        traceback.print_exception(*exc_info)
        del exc_info

Producing:

Traceback (most recent call last):
  File "t.py", line 6, in <module>
    raise TypeError("Oups!")
TypeError: Oups!

Few pitfalls with this though:

  • From the doc of sys_info:

    Assigning the traceback return value to a local variable in a function that is handling an exception will cause a circular reference. This will prevent anything referenced by a local variable in the same function or by the traceback from being garbage collected. [...] If you do need the traceback, make sure to delete it after use (best done with a try ... finally statement)

  • but, from the same doc:

    Beginning with Python 2.2, such cycles are automatically reclaimed when garbage collection is enabled and they become unreachable, but it remains more efficient to avoid creating cycles.


On the other hand, by allowing you to access the traceback associated with an exception, Python 3 produce a less surprising result:

import traceback

try:
    raise TypeError("Oups!")
except Exception as err:
    try:
        raise TypeError("Again !?!")
    except:
        pass

    traceback.print_tb(err.__traceback__)

... will display:

  File "e3.py", line 4, in <module>
    raise TypeError("Oups!")
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Python
docs.python.org › 3 › library › faulthandler.html
faulthandler — Dump the Python traceback
By default, the Python traceback is written to sys.stderr. To see tracebacks, applications must be run in the terminal. A log file can alternatively be passed to faulthandler.enable(). The module is implemented in C, so tracebacks can be dumped on a crash or when Python is deadlocked.
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Cybrosys Technologies
cybrosys.com › odoo blogs
What is Traceback Module in Python?
February 3, 2023 - Traceback is mainly used to print stack traces of a python program. This package provides a standard interface for the user to format and extract as they see fit.
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Real Python
realpython.com › python-traceback
Understanding the Python Traceback – Real Python
July 29, 2019 - The Python documentation defines when this exception is raised: Raised when the import statement has troubles trying to load a module. Also raised when the ‘from list’ in from ... import has a name that cannot be found. (Source) Here’s an example of the ImportError and ModuleNotFoundError being raised: ... >>> import asdf Traceback (most recent call last): File "<stdin>", line 1, in <module> ModuleNotFoundError: No module named 'asdf' >>> from collections import asdf Traceback (most recent call last): File "<stdin>", line 1, in <module> ImportError: cannot import name 'asdf'
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O'Reilly
oreilly.com › library › view › python-standard-library › 0596000960 › ch02s11.html
The traceback Module - Python Standard Library [Book]
May 10, 2001 - The traceback Module The traceback module in Example 2-18 allows you to print exception tracebacks inside your programs, just like the interpreter does when you don’t catch an... - Selection from Python Standard Library [Book]
Author: Fredrik Lundh
Published: 2001
Pages: 304
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Acid & Base
sceweb.sce.uhcl.edu › helm › WEBPAGE-Python › documentation › python_tutorial › lib › module-traceback.html
3.6 traceback -- Print or retrieve a stack traceback.
It exactly mimics the behavior of the Python interpreter when it prints a stack trace. This is useful when you want to print stack traces under program control, e.g. in a ``wrapper'' around the interpreter. The module uses traceback objects -- this is the object type that is stored in the variables sys.exc_traceback and sys.last_traceback and returned as the third item from sys.exc_info().
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Python
docs.python.org › 3.4 › library › traceback.html
29.9. traceback — Print or retrieve a stack traceback — Python 3.4.10 documentation
June 16, 2019 - 29.9. traceback — Print or retrieve a stack traceback ... Enter search terms or a module, class or function name.
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CircuitPython
docs.circuitpython.org › en › latest › shared-bindings › traceback
traceback – Traceback Module — Adafruit CircuitPython 1 documentation
If the exception value is passed in value, then any value passed in for exc is ignored. value is used as the exception value and the traceback in the tb argument is used. In this case, if tb is None, no traceback will be shown.
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PyPI
pypi.org › project › traceback-with-variables
traceback-with-variables 2.2.1
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Python
docs.python.org › 3.8 › library › traceback.html
traceback — Print or retrieve a stack traceback — Python 3.8.20 documentation
For a more complete implementation of the interpreter loop, refer to the code module. import sys, traceback def run_user_code(envdir): source = input(">>> ") try: exec(source, envdir) except Exception: print("Exception in user code:") print("-"*60) traceback.print_exc(file=sys.stdout) print("-"*60) envdir = {} while True: run_user_code(envdir)
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Coderz Column
coderzcolumn.com › tutorials › python › traceback-how-to-extract-format-and-print-error-stack-traces-in-python
traceback - How to Extract, Format, and Print Error Stack Traces in Python by Sunny Solanki
January 14, 2021 - We might even need more control over the format of the trace getting printed. Python provides a module named traceback which has a list of method which let us extract error traces, format it and print it according to our need.
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FavTutor
favtutor.com › blogs › python-traceback
Python Traceback: How to Read? & Error Types? (with Example)
April 12, 2023 - A Python traceback is a printed record of function calls that displays the call stack of the program whenever an exception occurs. The traceback module has several functions that let one modify and output Tracebacks in different ways, let’s ...