Metadata-Version: 2.1
Name: jacked
Version: 1.0.0a0
Summary: Dependency injection for Python
Home-page: https://github.com/ramonhagenaars/jacked
Author: Ramon Hagenaars
Author-email: ramon.hagenaars@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown

_NOTE: This project is in ALPHA state_
# jacked ~ *python on roids*

* A light and easy to use dependency injection framework.
* Inject _objects_, _functions_, _classes_ or _lists_ containing any of these.
* Let **jacked** automatically discover your injectables in a package.
* Loose coupling _on the juice_!
* Excellent for making your code testable!

## Install
```
pip install jacked
```

## Usage

### Inject instances
To inject instances, mark a class with the ``injectable`` decorator:
```python
from jacked import injectable

@injectable
class Cat:
    def sound(self):
        return 'meow'
```
You can now inject it in a function anywhere. Place the ``inject`` decorator on 
top of the function or method. Let **jacked** know what type to inject by type 
hinting your parameters:
```python
@inject
def what_sound_does_it_make(cat: Cat):
    print(cat.sound())

what_sound_does_it_make()
```

### Inject functions
Injecting functions works similarly. Just make sure that your function has the
proper type hints:

```python
@injectable
def some_func(x: int, y: int) -> str:
    return f'The sum of {x} and {y} is {x + y}'
```
And like with instances, inject as follows:
```python
@inject
def do_something(func: Callable[[int, int], str]):
    print(func(21, 21))

do_something()
```
### Inject classes
Assuming that we have the same ``Cat`` injectable like before, we can inject
that class as follows:

```python
from typing import Type

@inject
def do_something(cat_type: Type[Cat]):
    print(cat_type.__name__)

do_something()
```


### Inject lists
Let's suppose that we have the following two injectables of the same parent:
```python
class Animal(ABC):
    @abstractmethod
    def sound(self):
        raise NotImplementedError

@injectable
class Cat(Animal):
    def sound(self):
        return 'meow'

@injectable
class Dog(Animal):
    def sound(self):
        return 'bark'
```
You can now inject them in a list:
```python
@inject
def what_sound_does_it_make(animals: List[Animal]):
    for animal in animals:
        print(f'The {animal.__class__.__name__} does {animal.sound()}')

what_sound_does_it_make()
```
You could have also injected a ``list`` of classes or functions by hinting
``List[Type[...]]`` or ``List[Callable[...]]`` (the ``...`` replaced by your
injection target).

### Auto discovery
You can let **jacked** discover injectables in some package using the 
``discover`` function:
```python
from jacked import discover

discover('path/to/your/package')
```
All python modules in that package are imported and the injectables are 
registered.


