Welcome to Injector’s documentation!

Build status Covergage status

GitHub (code repository, issues): https://github.com/alecthomas/injector

PyPI (installable, stable distributions): https://pypi.org/project/injector. You can install Injector using pip:

pip install injector

Injector works with CPython 3.5+ and PyPy 3 implementing Python 3.5+.

Introduction

While dependency injection is easy to do in Python due to its support for keyword arguments, the ease with which objects can be mocked and its dynamic natura, a framework for assisting in this process can remove a lot of boiler-plate from larger applications. That’s where Injector can help. It automatically and transitively provides dependencies for you. As an added benefit, Injector encourages nicely compartmentalised code through the use of modules.

If you’re not sure what dependency injection is or you’d like to learn more about it see:

The core values of Injector are:

  • Simplicity - while being inspired by Guice, Injector does not slavishly replicate its API. Providing a Pythonic API trumps faithfulness. Additionally some features are ommitted because supporting them would be cumbersome and introduce a little bit too much “magic” (member injection, method injection).

    Connected to this, Injector tries to be as nonintrusive as possible. For example while you may declare a class’ constructor to expect some injectable parameters, the class’ constructor remains a standard constructor – you may instaniate the class just the same manually, if you want.

  • No global state – you can have as many Injector instances as you like, each with a different configuration and each with different objects in different scopes. Code like this won’t work for this very reason:

    class MyClass:
        @inject
        def __init__(t: SomeType):
            # ...
    
    MyClass()
    

    This is simply because there’s no global Injector to use. You need to be explicit and use Injector.get, Injector.create_object or inject MyClass into the place that needs it.

  • Cooperation with static type checking infrastructure – the API provides as much static type safety as possible and only breaks it where there’s no other option. For example the Injector.get method is typed such that injector.get(SomeType) is statically declared to return an instance of SomeType, therefore making it possible for tools such as mypy to type-check correctly the code using it.

Quick start

See the project’s README for an example of Injector use.