Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/benmezger/pydebug
Decorators for debugging Python
https://github.com/benmezger/pydebug
debug debugging pdb profile python tools
Last synced: about 2 months ago
JSON representation
Decorators for debugging Python
- Host: GitHub
- URL: https://github.com/benmezger/pydebug
- Owner: benmezger
- License: mit
- Archived: true
- Created: 2019-05-10T20:15:28.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2019-06-17T11:49:18.000Z (over 5 years ago)
- Last Synced: 2024-07-29T07:31:49.902Z (about 2 months ago)
- Topics: debug, debugging, pdb, profile, python, tools
- Language: Python
- Homepage: https://seds.nl
- Size: 24.4 KB
- Stars: 41
- Watchers: 3
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG
- License: LICENSE
Awesome Lists containing this project
README
# PyDebug
This is a simple set of utilities which makes it easier to debug Python objects.
Pydebug respects Django's config. It checks if the decorator is running within a Django
project and `DEBUG` is set to `True`. If it's set to `False`, it simply returns the function.
## Installing
You can install by cloning this repository and running `pip install .` within this directory, or
you can install through Pypi, by running `pip install python-pydebug`.
## Requirements
Although Pydebug uses Python's standard library, it tried to import `Django` to make sure you are not
within a Django project.
| Library | Defaults |
|---------------|----------|
| Cython | - |
| IPDB | PDB |
| Line-profiler | - |
`Line-profiler` requires `Cython` to work, if `IPDB` is not found, it fallsback to Python's standard `PBD` library.
**NOTE:** At the moment, it is not possible to add `rkern/line_profiler` as a requirements due to their install process.
Check their [README](https://github.com/rkern/line_profiler/blob/master/README.rst#installation) for installation instructions.
# Usage
### `PDBDebugger`
``` python
from pydebug import PDBDebugger
@PDBDebugger()
def hello_world(a, b):
x = a + b
return (a, b)
```
You may tell `PDBdebugger` to drop a `IPDB` shell only when an error occurs
``` python
from pydebug import PDBDebugger
@PDBDebugger(on_error=True)
def hello_world(a, b):
x = a + b
return (a, b)
```
### `DisassembleDebug`
You may disassemble a Python function by using the `Disassembledebug` decorator.
``` python
from pydebug import Disassembledebug
@DisassembleDebug()
def hello_world(a, b):
x = a + b
return (a, b)
```
### `Profilerdebug`
`Profilerdebug` uses Python's default `cProfile` library.
``` python
from pydebug import ProfilerDebug
@ProfilerDebug()
def hello_world(a, b):
x = a + b
return (a, b)
```
### `LineProfilerDebug`
`LineProfilerDebug` requires `line-profile` library to work, which also requires `Cython`.
``` python
from pydebug import LineProfilerDebug
@LineProfilerDebug()
def hello_world(a, b):
x = a + b
return (a, b)
```
### `ObjectInfoDebug`
`ObjectInfoDebug` prints the arguments which were passed to the function, the `performace` counter (in minutes), the
`process` time (in minutes) and the returned objects by the function.
``` python
from pydebug import ObjectInfoDebug
@ObjectInfoDebug()
def hello_world(a, b):
x = a + b
return (a, b)
```
# TODOs
1. Allow developer to use multiple decorators instead of one decorating the other
2. Show better profile metrics
3. Plot metrics to an image