Metadata-Version: 2.1
Name: stackprinter
Version: 0.1.5
Summary: Debug-friendly call stacks & tracebacks with variable values and semantic highlighting
Home-page: https://github.com/cknd/stackprinter
Author: cknd
Author-email: ck-github@mailbox.org
License: UNKNOWN
Description: ## More talkative tracebacks
        
        If my code runs somewhere where the only debugging tool is a printout or a log file, I tend to sleep better if I at least have good crash logging.
        
        This prints tracebacks / call stacks with more code context and the values of nearby variables. It answers 80% of the questions I'd ask an interactive debugger: Where in the code were we, what's in the relevant local variables, and why was _that_ function called with _those_ arguments.
        
        It can add colorful highlighting if you want, and some other things.
        
        #### Before
        ```
        Traceback (most recent call last):
          File "demo.py", line 10, in <module>
            dangerous_function(somelist + anotherlist)
          File "demo.py", line 4, in dangerous_function
            return sorted(blub, key=lambda xs: sum(xs))
          File "demo.py", line 4, in <lambda>
            return sorted(blub, key=lambda xs: sum(xs))
        TypeError: unsupported operand type(s) for +: 'int' and 'str'
        ```
        
        #### After
        ```
        File demo.py, line 10, in <module>
            8         somelist = [[1,2], [3,4]]
            9         anotherlist = [['5', 6]]
        --> 10        dangerous_function(somelist + anotherlist)
            11    except:
            ..................................................
             somelist = [[1, 2], [3, 4]]
             anotherlist = [['5', 6]]
            ..................................................
        
        File demo.py, line 4, in dangerous_function
            3     def dangerous_function(blub):
        --> 4         return sorted(blub, key=lambda xs: sum(xs))
            ..................................................
             blub = [[1, 2], [3, 4], ['5', 6]]
            ..................................................
        
        File demo.py, line 4, in <lambda>
            2
            3     def dangerous_function(blub):
        --> 4         return sorted(blub, key=lambda xs: sum(xs))
            5
            ..................................................
             xs = ['5', 6]
            ..................................................
        
        TypeError: unsupported operand type(s) for +: 'int' and 'str'
        ```
        
        For each frame on the stack, it shows a couple lines of code and the variables in those lines, as well as the call arguments of the current function scope. You can configure exactly _how_ verbose things should be.
        
        ## Installation
        
        
        ```bash
        pip install stackprinter
        ```
        
        ## Exception logging
        To globally replace the default python crash message, call `set_excepthook()` somewhere. This will print to stderr by default.
        
        ```python
        import stackprinter
        stackprinter.set_excepthook(style='color')
        ```
        
        To log the current exception, call [`show()`](https://github.com/cknd/stackprinter/blob/master/stackprinter/__init__.py#L154-L162) or [`format()`](https://github.com/cknd/stackprinter/blob/master/stackprinter/__init__.py#L28-L137) inside an `except` block. `show()` prints to stderr by default. `format()` just returns a string, for custom logging. You can also explicitely pass previously caught exception objects into these methods.
        
        
        ```python
        try:
            something()
        except:
            stackprinter.show()  # grab the current exception, print the traceback to stderr
        
            # ...or only get a string, e.g. for logging:
            message = stackprinter.format()
            logging.log(message)
        ```
        ```python
        # or explicitely grab a particular exception
        try:
            something()
        except ValueError as e:
            stackprinter.show(e)
        
        ```
        ```python
        # or collect exceptions in a little jar somewhere, to log them later
        try:
            something()
        except ValueError as e:
            errors.append(e)
        
        # later:
        for err in errors:
            message = stackprinter.format(err)
            logging.log(message)
        ```
        
        By default, all these calls will generate plain text. Pass `style='color'` to get [funky terminal colors like this](https://github.com/cknd/stackprinter/blob/master/tb_after.png?raw=true). (It's a kind of [semantic highlighting](https://medium.com/@brianwill/making-semantic-highlighting-useful-9aeac92411df), i.e. it highlights the different variables, not the language syntax.).
        
        You can blacklist certain file paths, to make the stack less verbose whenever it runs through those files. For example, if you call `format(exc, suppressed_paths=[r"lib/python.*/site-packages"])`, calls within installed libraries are shrunk to one line each.
        
        For more options & details, [see the docs of `format()`](https://github.com/cknd/stackprinter/blob/master/stackprinter/__init__.py#L28-L137).
        
        ## Printing the current stack of another thread
        Pass a thread object to `show` or `format`:
        
        ```python
        thread = threading.Thread(target=something)
        thread.start()
        while True:
            stackprinter.show(thread) # or format(thread)
            time.sleep(0.1)
        ```
        
        ## Printing the stack of the current thread
        Call `show` or `format` outside of exception handling.
        
        ```python
        stackprinter.show() # or format()
        ```
        
        There's also `show_current_stack()`, which does the same thing everywhere, even inside except blocks.
        
        ## Tracing a piece of code as it is executed
        
        More for curiosity than anything else, you can watch a piece of code execute step-by-step, printing a trace of all calls & returns 'live' as they are happening. Slows everything down though, of course.
        ```python
        with stackprinter.TracePrinter(style='color'):
            a = np.ones(111)
            dosomething(a)
        ```
        
        <img src="https://raw.githubusercontent.com/cknd/stackprinter/master/trace.png" width="400">
        
        # How it works
        
        Basically, this is a frame formatter. For each [frame on the call stack](https://en.wikipedia.org/wiki/Call_stack), it grabs the source code to find out which source lines reference which variables. Then it displays code and variables in the neighbourhood of the last executed line.
        
        Since this already requires a map of where each variable occurs in the code, it was difficult to not also implement the whole semantic highlighting color thing seen in the screenshots. The colors are ANSI escape codes now, but it should be fairly straightforward™ to render the underlying data without any 1980ies terminal technology. Say, a foldable and clickable HTML page with downloadable pickled variables. For now you'll have to pipe the ANSI strings through [ansi2html](https://github.com/ralphbean/ansi2html/) or something.
        
        # Caveats
        
        This displays variable values as they are _at the time of formatting_. In
        multi-threaded programs, variables can change while we're busy walking
        the stack & printing them. So, if nothing seems to make sense, consider that
        your exception and the traceback messages are from slightly different times.
        Sadly, there is no responsible way to freeze all other threads as soon
        as we want to inspect some thread's call stack (...or is there?)
        
        # Docs
        
        \*coughs\*
        
        For now, just look at all the doc strings, [e.g. those of `format()`](https://github.com/cknd/stackprinter/blob/master/stackprinter/__init__.py#L28-L137)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
