decoratorfunc 1.0

Simple tools for creating and managing decorator functions in Python.

Python DecoratorFunc

Simple tools for creating and managing decorator functions in Python.

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About The Project

Provides simple decorator function utilities for Python 3.x.

Built With

• 

Getting Started

To get a local copy up and running follow these simple example steps.

Prerequisites

• Python-lib - DecoratorBasic has been used for basic decorator utilities.

Installation

1. Clone the repo

git clone https://github.com/TahsinCr/python-decoratorfunc.git

2. Install PIP packages

pip install decoratorfunc

Usage

Let's create a decorator named Timer

import time

from decoratorbasic import get_decorators, get_decorator_callable
from decoratorfunc import definator, decorator, is_decoratorfunc

@definator
def time_decorator(func):
    # The DecoratorFuncBasic class is automatically created.
    # It is named according to PEP8 conventions by using the function's name (time_decorator -> TimeDecorator).
    # The generated DecoratorFuncBasic class can be accessed via time_decorator.__class__.
    print(f"Add Decorator '{func.__name__}': '{time_decorator.__class__.__name__}'")
    return func

@time_decorator.decorator
def time_decorator(func, *args, **kwargs):
    # A function defined with the definator/decorator will return a DecoratorFuncBasic class.
    # This allows the function to be redefined using the definator/decorator again. (time_decorator.decorator/time_decorator.definator)
    start = time.time()
    result = func(*args, **kwargs)
    end = time.time()
    print(f"Result '{callable.__name__}': {end - start}")
    return result

# Since the time_decorator function returns the DecoratorFuncBasic class, the __call__ method of this class is used as a decorator.
# In this way, the DecoratorFuncBasic class behaves like DecoratorBasic and fulfills the decorator functionality.
@time_decorator
def test_range(start:int, stop:int):
    for n in range(start, stop): ...

@time_decorator
class testo:
    def __init__(self):
        for n in range(1, 10000000):...


test_range(1,4000000)

decoratorbases = get_decorators(test_range)
print('IsDecoratorFunc:', is_decoratorfunc(decoratorbases[0]))

testo()

Output

Add Decorator 'test_range': 'TimeDecorator'
Add Decorator 'testo': 'TimeDecorator'
Result 'callable': 0.10388374328613281
IsDecoratorFunc: True
Result 'callable': 0.1656045913696289

For more examples, please refer to the Documentation

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Tahsin Çirkin - @TahsinCrs - [e-mail]

Project: TahsinCr/python-decoratorfunc