Metadata-Version: 2.1
Name: PyDio
Version: 0.1.0
Summary: A simple and functional dependency injection toolkit for Python
Home-page: https://pydio.readthedocs.io/
Author: Maciej Wiatrzyk
Author-email: maciej.wiatrzyk@gmail.com
License: UNKNOWN
Project-URL: Bug Reports, https://gitlab.com/zef1r/pydio/-/issues
Project-URL: Source, https://gitlab.com/zef1r/pydio
Project-URL: Documentation, https://pydio.readthedocs.io/
Keywords: dependency,injection,di,framework,toolkit,tool,library
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6, <4

.. image:: https://img.shields.io/pypi/v/PyDio
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.. image:: https://img.shields.io/pypi/l/PyDio
    :target: https://pypi.org/project/PyDio/
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    :target: https://codecov.io/gl/zef1r/pydio

=====
PyDio
=====

A simple and functional dependency injection toolkit for Python.

About
=====

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)

And if you now call ``main()`` function, then the output will be following::

    Hello, world!

Key features
============

* 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 :-)

Installation
============

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]

Documentation
=============

You have two options available:

1) Visit `PyDio's ReadTheDocs <https://pydio.readthedocs.io/en/latest/>`_ site

2) Take a tour around `functional tests <https://gitlab.com/zef1r/pydio/-/tree/master/tests/functional>`_

License
=======

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

See `LICENSE.txt <https://gitlab.com/zef1r/pydio/-/blob/master/LICENSE.txt>`_ for more details.

Author
======

Maciej Wiatrzyk <maciej.wiatrzyk@gmail.com>


