enterprython 0.4.1

Type-based dependency-injection

enterprython

Python library providing type-based dependency-injection

Table of contents

• Introduction

• Features

  • Abstract base classes
  • Factories
  • Non-singleton services
  • Service lists
  • Mixing managed and manual injection
  • Free functions as clients

• Requirements and Installation

Introduction

If you plan to write enterprisey software, you probably want to apply dependency injection on your class constructors, and use a library doing the lookup for you based on static type annotations, instead of configuring the object graph manually.

enterprython provides exactly that.

from enterprython import assemble, component


@component()
class Service:
    def __init__(self) -> None:
        self._greeting: str = "Hello"

    def greet(self, name: str) -> str:
        return f"{self._greeting}, {name}!"


class Client:
    def __init__(self, service: Service) -> None:
        self._service = service

    def run(self) -> None:
        print(self._service.greet("World"))


assemble(Client).run()

Output:

Hello, World!

Features

Abstract base classes

A client may depend on an abstract base class. Enterprython will inject the matching implementation.

from abc import ABC
from enterprython import assemble, component

class ServiceInterface(ABC):
    ...

@component()
class ServiceImpl(ServiceInterface):
    ...

class Client:
    def __init__(self, services: ServiceInterface) -> None:
        ...

assemble(Client)

One singleton instance of ServiceImpl is created and injected into Client.

Factories

Annotating a function with @component() is registered as a factory for its return type.

from enterprython import assemble, component

class Service:
    ...

@component()
def service_factory() -> Service:
    return Service

class Client:
    def __init__(self, service: Service) -> None:
        ...

assemble(Client)

service_factory is used to create the Service instance for calling the constructor of Client.

Non-singleton services

If a service is annotated with @component(singleton=False) a new instance of it is created with every injection.

@component(singleton=False)
class Service:
    ...

class Client:
    def __init__(self, service: Service) -> None:
        ...

Service lists

A client may depend on a list of implementations of a service interface.

from abc import ABC
from typing import List
from enterprython import assemble, component

class ServiceInterface(ABC):
    pass

@component()
class ServiceA(ServiceInterface):
    ...

@component()
class ServiceB(ServiceInterface):
    ...

class Client:
    def __init__(self, services: List[ServiceInterface]) -> None:
        ...

assemble(Client)

[ServiceA(), ServiceB()] is injected into Client.

Mixing managed and manual injection

One part of a client's dependencies might be injected manually, the rest automatically.

from enterprython import assemble, component

@component()
class ServiceA:
    ...

class ServiceB:
    ...

class Client:
    def __init__(self, service_a: ServiceA, service_b: ServiceB) -> None:
        ...

assemble(Client, service_b=ServiceB())

service_a comes from the DI container, service_b from user code.

If ServiceB also has a @component() annotation, the manually provided object is preferred.

Free functions as clients

Since class constructors are fundamentally just normal functions, we can inject dependencies into free functions too.

from enterprython import assemble, component

@component()
class Service:
    ...

def client(service: Service) -> None:
    ...

assemble(client)

A singleton instance of Service is created and used to call client.

Requirements and Installation

You need Python 3.6.5 or higher.

python3 -m pip install enterprython

Or, if you like to use latest version from this repository:

git clone https://github.com/Dobiasd/enterprython
cd enterprython
python3 -m pip install .

License

Distributed under the MIT License. (See accompanying file LICENSE or at https://opensource.org/licenses/MIT)