Simple and functional dependency injection toolkit for Python.

PyDio aims to be simple, yet still powerful, allowing you to feed dependencies inside your application in a flexible way. PyDio design is based on simple assumption, that dependency injection can be achieved using simple key-to-function map, where key specifies type of object you want to inject and function is a factory function that creates instances of that type.

In PyDio, this is implemented using providers and injectors. You use providers to configure your key-to-function mapping, and then you use injectors to perform a lookup of a specific key and creation of the final object.

Here's a simple example:

import abc

from pydio.api import Provider, Injector

provider = Provider()

@provider.provides('greet')
def make_greet():
    return 'Hello, world!'

def main():
    injector = Injector(provider)
    greet_message = injector.inject('greet')
    print(greet_message)

if __name__ == '__main__':
    main()

Now you can save the snippet from above as example.py file and execute to see the output:

$ python example.py
Hello, world!

• Support for any hashable keys: class objects, strings, ints etc.
• Support for any type of object factories: function, coroutine, generator, asynchronous generator.
• Automatic resource management via generator-based factories (similar to pytest's fixtures)
• Multiple environment support: testing, development, production etc.
• Limiting created object's lifetime to user-defined scopes: global, application, use-case etc.
• No singletons used, so there is no global state...
• ...but you still can create global injector on your own if you need it :-)

You can install PyDio using one of following methods:

1. From PyPI (for stable releases):

   $ pip install PyDio

2. From test PyPI (for stable and development releases):

   $ pip install -i https://test.pypi.org/simple/ PyDio

3. Directly from source code repository (for all releases):

   $ pip install git+https://gitlab.com/zef1r/PyDio.git@[branch-or-tag]

You have two options available:

1. Visit PyDio's ReadTheDocs site.

2. Take a tour around functional tests.

This project is released under the terms of the MIT license.

See LICENSE.txt for more details.

Maciej Wiatrzyk maciej.wiatrzyk@gmail.com