injectable 4.0.1

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

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

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], message_brokers: Annotated[List[Broker], Autowired], ): pending = database.get_pending_messages() for broker in message_brokers: broker.send_pending(pending) from abc import ABC class Broker(ABC): def send_pending(messages): ...

from injectable import injectable @injectable class Database: ... from messaging import Broker from injectable import injectable @injectable class KafkaProducer(Broker): ... 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 @autowired and annotate parameters with Autowired, that’s it.

• Automatic dependency discovery: just call load_injection_container() at the root of your project or pass the root path as an argument. All classes decorated with @injectable will be automatically discovered and ready for injection.

• 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 typing.List to Autowired: deps: Annotated[List["qualifier"], Autowired].

• Transparent lazy initialization: passing the argument lazy=True for Autowired will make your dependency to be initialized only when actually used, all in a transparent fashion.

• Singletons: decorate your class with @injectable(singleton=True) and only a single instance will be initialized and shared for injection.

• Namespaces: specify different namespaces for injectables as in @injectable(namespace="foo") and then just use them when annotating your parameters as in dep: Annotated[..., Autowired(namespace="foo")].

• Linters friendly: 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!