Very simple to use, but versatile when needed. Try for debug and keep for production.

“It is useless work that darkens the heart.” – Ursula K. Le Guin

Tired of useless job of putting all your variables into debug exception messages? Just stop it. Automate it and clean your code. Once and for all.

Contents: Installation | 🚀 Quick Start | Colors | How does it save my time? | Examples and recipes | Reference | FAQ

⚠️ I'm open to update this module to meet new use cases and to make using it easier and fun: so any proposal or advice or warning is very welcome and will be taken into account of course. When I started it I wanted to make a tool meeting all standard use cases. I think in this particular domain this is rather achievable, so I'll try. Note next_version branch also. Have fun!

pip install traceback-with-variables==2.0.4

conda install -c conda-forge traceback-with-variables=2.0.4

Using without code editing, running your script/command/module:

traceback-with-variables tested_script.py ...srcipt's args...

Simplest usage in regular Python, for the whole program:

    from traceback_with_variables import activate_by_import

Simplest usage in Jupyter or IPython, for the whole program:

    from traceback_with_variables import activate_in_ipython_by_import

Decorator, for a single function:

    @prints_exc
    # def main(): or def some_func(...):

Context, for a single code block:

    with printing_exc():

Work with traceback lines in a custom manner:

    lines = list(iter_exc_lines(e))

No exception but you want to print the stack anyway?:

    print_cur_tb()

Using a logger [with a decorator, with a context]:

    with printing_exc(file_=LoggerAsFile(logger)):
    # or
    @prints_exc(file_=LoggerAsFile(logger)): 

Print traceback in interactive mode after an exception:

    >>> print_exc()

Customize any of the previous examples:

    default_format.max_value_str_len = 10000
    default_format.skip_files_except = 'my_project'

• Turn a code totally covered by debug formatting from this:

    def main():
        sizes_str = sys.argv[1]
        h1, w1, h2, w2 = map(int, sizes_str.split())
  -     try:
            return get_avg_ratio([h1, w1], [h2, w2])
  -     except:
  -         logger.error(f'something happened :(, variables = {locals()[:1000]}')
  -         raise
  -         # or
  -         raise MyToolException(f'something happened :(, variables = {locals()[:1000]}')
            
    def get_avg_ratio(size1, size2):
  -     try:
            return mean(get_ratio(h, w) for h, w in [size1, size2])
  -     except:
  -         logger.error(f'something happened :(, size1 = {size1}, size2 = {size2}')
  -         raise
  -         # or
  -         raise MyToolException(f'something happened :(, size1 = {size1}, size2 = {size2}')
  
    def get_ratio(height, width):
  -     try:
            return height / width
  -     except:
  -         logger.error(f'something happened :(, width = {width}, height = {height}')
  -         raise
  -         # or
  -         raise MyToolException(f'something happened :(, width = {width}, height = {height}')

  into this (zero debug code):

  + from traceback_with_variables import activate_by_import
  
    def main():
        sizes_str = sys.argv[1]
        h1, w1, h2, w2 = map(int, sizes_str.split())
        return get_avg_ratio([h1, w1], [h2, w2])
            
    def get_avg_ratio(size1, size2):
        return mean(get_ratio(h, w) for h, w in [size1, size2])
  
    def get_ratio(height, width):
        return height / width

  And obtain total debug info spending 0 lines of code:

  Traceback with variables (most recent call last):
    File "./temp.py", line 7, in main
      return get_avg_ratio([h1, w1], [h2, w2])
        sizes_str = '300 200 300 0'
        h1 = 300
        w1 = 200
        h2 = 300
        w2 = 0
    File "./temp.py", line 10, in get_avg_ratio
      return mean([get_ratio(h, w) for h, w in [size1, size2]])
        size1 = [300, 200]
        size2 = [300, 0]
    File "./temp.py", line 10, in <listcomp>
      return mean([get_ratio(h, w) for h, w in [size1, size2]])
        .0 = <tuple_iterator object at 0x7ff61e35b820>
        h = 300
        w = 0
    File "./temp.py", line 13, in get_ratio
      return height / width
        height = 300
        width = 0
  builtins.ZeroDivisionError: division by zero
  

• Automate your logging too:

  logger = logging.getLogger('main')
  
  def main():
      ...
      with printing_exc(file_=LoggerAsFile(logger))
          ...

  2020-03-30 18:24:31 main ERROR Traceback with variables (most recent call last):
  2020-03-30 18:24:31 main ERROR   File "./temp.py", line 7, in main
  2020-03-30 18:24:31 main ERROR     return get_avg_ratio([h1, w1], [h2, w2])
  2020-03-30 18:24:31 main ERROR       sizes_str = '300 200 300 0'
  2020-03-30 18:24:31 main ERROR       h1 = 300
  2020-03-30 18:24:31 main ERROR       w1 = 200
  2020-03-30 18:24:31 main ERROR       h2 = 300
  2020-03-30 18:24:31 main ERROR       w2 = 0
  2020-03-30 18:24:31 main ERROR   File "./temp.py", line 10, in get_avg_ratio
  2020-03-30 18:24:31 main ERROR     return mean([get_ratio(h, w) for h, w in [size1, size2]])
  2020-03-30 18:24:31 main ERROR       size1 = [300, 200]
  2020-03-30 18:24:31 main ERROR       size2 = [300, 0]
  2020-03-30 18:24:31 main ERROR   File "./temp.py", line 10, in <listcomp>
  2020-03-30 18:24:31 main ERROR     return mean([get_ratio(h, w) for h, w in [size1, size2]])
  2020-03-30 18:24:31 main ERROR       .0 = <tuple_iterator object at 0x7ff412acb820>
  2020-03-30 18:24:31 main ERROR       h = 300
  2020-03-30 18:24:31 main ERROR       w = 0
  2020-03-30 18:24:31 main ERROR   File "./temp.py", line 13, in get_ratio
  2020-03-30 18:24:31 main ERROR     return height / width
  2020-03-30 18:24:31 main ERROR       height = 300
  2020-03-30 18:24:31 main ERROR       width = 0
  2020-03-30 18:24:31 main ERROR builtins.ZeroDivisionError: division by zero
  

• Free your exceptions of unnecessary information load:

  def make_a_cake(sugar, eggs, milk, flour, salt, water):
      is_sweet = sugar > salt
      is_vegan = not (eggs or milk)
      is_huge = (sugar + eggs + milk + flour + salt + water > 10000)
      if not (is_sweet or is_vegan or is_huge):
          raise ValueError('This is unacceptable, guess why!')
      ...

• — Should I use it after debugging is over, i.e. in production?

  Yes, of course! That way it might save you even more time (watch out for sensitive data like passwords and tokens in you logs). Note: you can deploy more serious frameworks, e.g. Sentry :)

• Stop this tedious practice in production:

  step 1: Notice some exception in a production service.
  step 2: Add more printouts, logging, and exception messages.
  step 3: Rerun the service.
  step 4: Wait till (hopefully) the bug repeats.
  step 5: Examine the printouts and possibly add some more info (then go back to step 2).
  step 6: Erase all recently added printouts, logging and exception messages.
  step 7: Go back to step 1 once bugs appear.

• run python code without changes: a script, a module, a commnad
• simple usage
• simple usage in Jupyter or IPython
• print current stack, when there's no exception
• print last exception in Python console
• manually change global printer
• manually change global printer in Jupyter or IPython
• working with a function
• working with a function, logging
• working with a code block
• working with a code block, logging
• get traceback lines for custom things
• using with flask
• customize the output

• max_value_str_len max length of each variable string, -1 to disable, default=1000
• max_exc_str_len max length of exception, should variable print fail, -1 to disable, default=10000
• before number of code lines before the raising line, default=0
• after number of code lines after the raising line, default=0
• ellipsis_ string to denote long strings truncation, default=...
• skip_files_except use to print only certain files; list of regexes, ignored if empty, default=None
• brief_files_except use to print variables only in certain files; list of regexes, ignored if empty, default=None
• custom_var_printers list of pairs of (filter, printer); filter is a name fragment, a type or a function or a list thereof; printer returns None to skip a var
• color_scheme is None or one of ColorSchemes: .none , .common, .nice, .synthwave. None is for auto-detect

Just import it. No arguments, for real quick use in regular Python.

from traceback_with_variables import activate_by_import

Just import it. No arguments, for real quick use in Jupyter or IPython.

from traceback_with_variables import activate_in_ipython_by_import

Call once in the beginning of your program, to change how traceback after an uncaught exception looks.

def main():
    override_print_exc(...)

Call once in the beginning of your program, to change how traceback after an uncaught exception looks.

def main():
    override_print_exc(...)

Prints traceback for a given/current/last (first being not None in the priority list) exception to a file, default=sys.stderr. Convenient for manual console or Jupyter sessions or custom try/except blocks. Note that it can be called with a given exception value or it can auto discover current exception in an except: block or it can auto descover last exception value (long) after try/catch block.

print_exc()

Prints current traceback when no exception is raised.

print_cur_tb()

Function decorator, used for logging or simple printing of scoped tracebacks with variables. I.e. traceback is shorter as it includes only frames inside the function call. Program exiting due to unhandled exception still prints a usual traceback.

@prints_exc
def f(...):

@prints_exc(...)
def f(...):

Context manager (i.e. with ...), used for logging or simple printing of scoped tracebacks with variables. I.e. traceback is shorter as it includes only frames inside the with scope. Program exiting due to unhandled exception still prints a usual traceback.

with printing_exc(...):

A logger-to-file wrapper, to pass a logger to print tools as a file.

Iterates the lines, which are usually printed one-by-one in terminal.

Like iter_exc_lines but returns a single string.

Like iter_exc_lines but doesn't need an exception and prints upper frames..

Like iter_cur_tb_lines but returns a single string.

• In Windows console crash messages have no colors.

  The default Windows console/terminal cannot print [so called ansi] colors, but this is fixable , especially with modern Windows versions. Therefore colors are disabled by default, but you can enable them and check if it works in your case. You can force enable colors by passing --color-scheme common (for complete list of colors pass --help) console argument.

• Windows console prints junk symbols when colors are enabled.

  The default Windows console/terminal cannot print [so called ansi] colors, but this is fixable , especially with modern Windows versions. If for some reason the colors are wrongly enabled by default, you can force disable colors by passing --color-scheme none console argument.

• Bash tools like grep sometimes fail to digest the output when used with pipes (|) because of colors.

  Please disable colors by passing --color-scheme none console argument. The choice for keeping colors in piped output was made to allow convenient usage of head, tail, file redirection etc. In cases like | grep it might have issues, in which case you can disable colors.

• Output redirected to a file in > output.txt manner has no colors when I cat it.

  This is considered a rare use case, so colors are disabled by default when outputting to a file. But you can force enable colors by passing --color-scheme common (for complete list of colors pass --help) console argument.

• activate_by_import or global_print_exc don't work in Jupyter or IPython as if not called at all.

  In Jupyter or IPython you should use activate_in_ipython_by_import or global_print_exc_in_ipython. IPython handles exceptions differently than regular Python.

• The server framework (flask, streamlit etc.) still shows usual tracebacks.

  In such frameworks tracebacks are printed not while exiting the program (the program continues running), hence you should override exception handling in a manner proper for the given framework. Please address the flask example.

• How do I reduce output? I don't need all files or all variables.

  Use skip_files_except, brief_files_except, custom_var_printers to cut excess output.

• I have ideas about good colors.

  Please fork, add a new ColorScheme to ColorSchemes and create a Pull Request to next_version branch. Choose the color codes and visually test it like python3 -m traceback_with_variables.main --color-scheme {its name} examples/for_readme_image.py.

• My code doesn't work.

  Please post your case. You are very welcome!

• Other questions or requests to elaborate answers.

  Please post your question or request. You are very welcome!