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@obfusk
Last active September 2, 2024 16:23
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python "breakpoint" (more or less equivalent to ruby's binding.pry); for a proper debugger, use https://docs.python.org/3/library/pdb.html
import code; code.interact(local=dict(globals(), **locals()))
@anahimana
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Amazing! Thank you!

@engr-hasanuzzaman
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It was very helpful to me.

@ppanchal97
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⭐ 👍

@hieuns-0318
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Very helpful, thank you 👍 !

@zuhrig
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zuhrig commented Apr 8, 2021

still searching for this
jjajaja

@TimB0
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TimB0 commented May 27, 2021

i dont see how to use this...how do i view the data in my object? is it the same commands as pdb?

@obfusk
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obfusk commented Jun 4, 2021

i dont see how to use this...how do i view the data in my object? is it the same commands as pdb?

@TimB0 The same way you would in an interactive Python shell :)

$ python3 -c 'x = 42; import code; code.interact(local=dict(globals(), **locals()))'
>>> x
42

(and when you're done, use ^D (EOF) to continue or quit() to abort the program)

@charterchap
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charterchap commented Sep 3, 2021

def pry():
    import inspect
    frame = inspect.currentframe().f_back
    try:
        import code; 
        code.interact(local=dict(frame.f_globals, **frame.f_locals))
    finally:
        del frame

@Victorcorcos
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Victorcorcos commented Sep 2, 2024

There are much better solutions, such as:

import ipdb; ipdb.set_trace()

or

import pdb; pdb.set_trace()

When running pdb, the Python Debugger, you have access to a variety of commands (often referred to as "methods" in the context of interactive debuggers) that allow you to control the execution of your program, inspect variables, and navigate through your code. Below is a list of the most commonly used pdb commands:

Control Execution

  • c or continue: Continue execution until the next breakpoint or the end of the program.
  • n or next: Continue execution until the next line in the current function. Does not step into functions.
  • s or step: Step into the function called at the current line or go to the next line in the current function.
  • r or return: Continue execution until the current function returns.
  • q or quit: Exit the debugger and stop the program.

Inspecting Code

  • l or list: Display the source code around the current line. You can provide a range, e.g., list 10, 20 to list lines 10 to 20.
  • w or where: Print a stack trace, showing the call stack of the current execution point.
  • u or up: Move up one level in the stack trace (closer to the start of the program).
  • d or down: Move down one level in the stack trace (closer to where the program is currently executing).

Breakpoints

  • b or break: Set a breakpoint at a specified line, e.g., break 15, or in a specified function, e.g., break my_function.
  • tbreak: Set a temporary breakpoint that will be removed once hit.
  • cl or clear: Clear a breakpoint. You can specify a breakpoint number or clear all breakpoints.
  • disable: Disable a breakpoint without removing it.
  • enable: Enable a disabled breakpoint.

Inspecting Variables

  • p or print: Evaluate and print the value of an expression, e.g., print x.
  • pp: Pretty-print the value of an expression.
  • a or args: Print the arguments of the current function.
  • whatis: Print the type of an expression.

Modifying Code

  • !: Execute the Python statement, e.g., !x = 42 to set x to 42.
  • retval: Print the return value from the last executed function.

Other Commands

  • h or help: Show a list of available commands or help for a specific command, e.g., help break.
  • pdb: Re-enter the pdb prompt if you accidentally quit it using q.
  • run: Restart the program with the command line you gave.

Example Usage

Here’s an example of how some of these commands might be used in a debugging session:

import pdb

def my_function(x):
    y = x + 2
    pdb.set_trace()  # Start the debugger here
    z = y * 3
    return z

my_function(10)

During the debugging session:

  • You could use n to go to the next line (z = y * 3).
  • Use p y to print the value of y.
  • Use c to continue running the program.

Summary

pdb provides a comprehensive set of commands for controlling program execution, inspecting variables, setting breakpoints, and navigating the call stack, making it a powerful tool for debugging Python code.

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