.. _injectable: .. role:: python(code) :language: python

Injectable: Dependency Injection for Humans™

Usage Examples 🚩 <https://injectable.readthedocs.io/en/latest/usage/index.html>_ | Developer Reference 👩‍💻 <https://injectable.readthedocs.io/en/latest/reference/index.html>_ | Authors 👫 <https://injectable.readthedocs.io/en/latest/authors.html>_

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  - |license|
* - docs
  - |docs|
* - tests
  - |build| |coveralls| |reliability| |security| |black| |flake8|
* - package
  - |version| |wheel| |supported-versions| |supported-implementations| |platforms| |downloads|

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Injectable is an elegant and simple Dependency Injection framework built with Heart and designed for Humans.

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* - .. code:: python

        from typing import Annotated, List
        from injectable import Autowired, autowired
        from models import Database
        from messaging import Broker

        class Service:
            @autowired
            def __init__(
                self,
                database: Annotated[Database, Autowired],
                brokers: Annotated[List[Broker], Autowired],
            ):
                pending = database.get_pending_messages()
                for broker in brokers:
                    broker.send_pending(pending)

    .. code:: python

        from abc import ABC

        class Broker(ABC):
            def send_pending(messages):
                ...

  - .. code:: python

        from injectable import injectable

        @injectable
        class Database:
            ...

    .. code:: python

        from messaging import Broker
        from injectable import injectable

        @injectable
        class KafkaProducer(Broker):
            ...

    .. code:: python

        from messaging import Broker
        from injectable import injectable

        @injectable
        class SQSProducer(Broker):
            ...

Features you'll love ❤️

• Autowiring: injection is transparent to the function. Just decorate the function with :python:@autowired and annotate parameters with :python:Autowired, that's it. see an example <https://injectable.readthedocs.io/en/latest/usage/TLDR.html>__

• Automatic dependency discovery: just call :python:load_injection_container() at the root of your project or pass the root path as an argument. All classes decorated with :python:@injectable will be automatically discovered and ready for injection. see reference <https://injectable.readthedocs.io/en/latest/reference/injectable.html#injectable.load_injection_container>__

• Qualifier overloading: declare as many injectables as you like for a single qualifier or extending the same base class. You can inject all of them just by specifying a :python:typing.List to :python:Autowired: :python:deps: Annotated[List["qualifier"], Autowired]. see an example <https://injectable.readthedocs.io/en/latest/usage/qualifier_overloading.html>__

• Transparent lazy initialization: passing the argument :python:lazy=True for :python:Autowired will make your dependency to be initialized only when actually used, all in a transparent fashion. see an example <https://injectable.readthedocs.io/en/latest/usage/lazy_injection.html>__

• Singletons: decorate your class with :python:@injectable(singleton=True) and only a single instance will be initialized and shared for injection. see an example <https://injectable.readthedocs.io/en/latest/usage/singletons.html>__

• Namespaces: specify different namespaces for injectables as in :python:@injectable(namespace="foo") and then just use them when annotating your parameters as in :python:dep: Annotated[..., Autowired(namespace="foo")]. see an example <https://injectable.readthedocs.io/en/latest/usage/namespaces.html>__

• Linters friendly: :python:Autowired is carefully designed to comply with static linter analysis such as PyCharm's to preserve the parameter original type hint.

These are just a few cool and carefully built features for you. Check out our docs <https://injectable.readthedocs.io/en/latest/>_!