pdbr

pdbr is intended to make the PDB results more colorful. it uses Rich library to carry out that.

Installing

Install with pip or your favorite PyPi package manager.

pip install pdbr

Breakpoint

In order to use breakpoint(), set PYTHONBREAKPOINT with "pdbr.set_trace"

import os

os.environ["PYTHONBREAKPOINT"] = "pdbr.set_trace"

or just import pdbr

import pdbr

New commands

(i)nspect / inspectall | ia

rich.inspect

search | src

Search a phrase in the current frame. In order to repeat the last one, type / character as arg.

sql

Display value in sql format. Don't forget to install sqlparse package.

It can be used for Django model queries as follows.

>>> sql str(Users.objects.all().query)

(syn)tax

[ val,lexer ] Display lexer.

(v)ars

Get the local variables list as table.

varstree | vt

Get the local variables list as tree.

Config

Config is specified in setup.cfg and can be local or global. Local config (current working directory) has precedence over global (default) one. Global config must be located in $XDG_CONFIG_HOME/pdbr/ directory.

Style

In order to use Rich's traceback, style, and theme:

[pdbr]
style = yellow
use_traceback = True
theme = friendly

Also custom Console object can be assigned to the set_trace.

import pdbr

from rich.console import Console
from rich.style import Style
from rich.theme import Theme

custom_theme = Theme({
    "info": "dim cyan",
    "warning": "magenta",
    "danger": "bold red",
})
custom_style = Style(
    color="magenta",
    bgcolor="yellow",
    italic=True,
)
console = Console(theme=custom_theme, style=custom_style)

pdbr.set_trace(console=console)

History

store_history setting is used to keep and reload history, even the prompt is closed and opened again:

[pdbr]
...
store_history=.pdbr_history

Celery

In order to use Celery remote debugger with pdbr, use celery_set_trace as below sample. For more information see the Celery user guide.

from celery import Celery

app = Celery('tasks', broker='pyamqp://guest@localhost//')

@app.task
def add(x, y):

    import pdbr; pdbr.celery_set_trace()

    return x + y

Telnet

Instead of using telnet or nc, in terms of using pdbr style, pdbr_telnet command can be used.

Also in order to activate history and be able to use arrow keys, install and use rlwrap package.

rlwrap -H '~/.pdbr_history' pdbr_telnet localhost 6899

IPython

pdbr integrates with IPython.

This makes %magics available, for example:

(Pdbr) %timeit range(100)
104 ns ± 2.05 ns per loop (mean ± std. dev. of 7 runs, 10,000,000 loops each)

To enable IPython features, install it separately, or like below:

pip install pdbr[ipython]

pytest

In order to use pdbr with pytest --pdb flag, add addopts setting in your pytest.ini.

[pytest]
addopts: --pdbcls=pdbr:RichPdb

sys.excepthook

The sys.excepthook is a Python system hook that provides a way to customize the behavior when an unhandled exception occurs. Since pdbr use automatic traceback handler feature of rich, formatting exception print is not necessary if pdbr module is already imported.

In order to use post-mortem or perform other debugging features of pdbr, override sys.excepthook with a function that will act as your custom excepthook:

import sys
import pdbr

def custom_excepthook(exc_type, exc_value, exc_traceback):
    pdbr.post_mortem(exc_traceback, exc_value)

    # [Optional] call the original excepthook as well
    sys.__excepthook__(exc_type, exc_value, exc_traceback)

sys.excepthook = custom_excepthook

Now, whenever an unhandled exception occurs, pdbr will be triggered, allowing you to debug the issue interactively.

Context Decorator

pdbr_context and apdbr_context (asyncio corresponding) can be used as with statement or decorator. It calls post_mortem if traceback is not none.

from pdbr import apdbr_context, pdbr_context

@pdbr_context()
def foo():
    ...

def bar():
    with pdbr_context():
        ...


@apdbr_context()
async def foo():
    ...

async def bar():
    async with apdbr_context():
        ...

Django DiscoverRunner

To being activated the pdb in Django test, change TEST_RUNNER like below. Unlike Django (since you are not allowed to use for smaller versions than 3), pdbr runner can be used for version 1.8 and subsequent versions.

TEST_RUNNER = "pdbr.runner.PdbrDiscoverRunner"

Middlewares

Starlette

from fastapi import FastAPI
from pdbr.middlewares.starlette import PdbrMiddleware

app = FastAPI()

app.add_middleware(PdbrMiddleware, debug=True)


@app.get("/")
async def main():
    1 / 0
    return {"message": "Hello World"}

Django

In order to catch the problematic codes with post mortem, place the middleware class.

MIDDLEWARE = (
    ...
    "pdbr.middlewares.django.PdbrMiddleware",
)

Shell

Running pdbr command in terminal starts an IPython terminal app instance. Unlike default TerminalInteractiveShell, the new shell uses pdbr as debugger class instead of ipdb.

%debug magic sample

As a Script

If pdbr command is used with an argument, it is invoked as a script and debugger-commands can be used with it.

# equivalent code: `python -m pdbr -c 'b 5' my_test.py`
pdbr -c 'b 5' my_test.py

>>> Breakpoint 1 at /my_test.py:5
> /my_test.py(3)<module>()
      1
      2
----> 3 def test():
      4         foo = "foo"
1     5         bar = "bar"

(Pdbr)

Terminal

Django shell sample

Vscode user snippet

To create or edit your own snippets, select User Snippets under File > Preferences (Code > Preferences on macOS), and then select python.json.

Place the below snippet in json file for pdbr.

{
  ...
  "pdbr": {
        "prefix": "pdbr",
        "body": "import pdbr; pdbr.set_trace()",
        "description": "Code snippet for pdbr debug"
    },
}

For Celery debug.

{
  ...
  "rdbr": {
        "prefix": "rdbr",
        "body": "import pdbr; pdbr.celery_set_trace()",
        "description": "Code snippet for Celery pdbr debug"
    },
}

cansarigol / pdbr