dishka-rq 0.1.2

Dishka integration for RQ.

RQ integration for Dishka

This package provides integration of Dishka DI framework and RQ task queue manager.

Features

• Automatic Scope Management: Handles REQUEST and SESSION scopes per RQ job execution.
• Dependency Injection: Injects dependencies into task handlers via:
  • Subclassed DishkaWorker for auto-injection.
  • @inject decorator for manual setup with standard RQ workers.

Installation

Install using pip

pip install dishka-rq

Or with uv

uv add dishka-rq

Usage

Method 1: Using DishkaWorker Subclass

1. Set Up Providers and Container

Define your Dishka providers and container as usual:

from dishka import Provider, Scope, provide, make_container

class StrProvider(Provider):
    @provide(scope=Scope.REQUEST)
    def hello(self) -> str:
        return "Hello"

provider = StrProvider()
container = make_container(provider)

2. Annotate Task Dependencies

Use FromDishka[...] to mark injected parameters:

from dishka import FromDishka

def hello_world(hello: FromDishka[str]):
    return f"{hello} world!"

3. Run worker

Start an RQ worker with DishkaWorker:

from dishka_rq import DishkaWorker
from redis import Redis

conn = Redis()
queues = ["default"]
worker = DishkaWorker(container=container, queues=queues, connection=conn)
worker.work(with_scheduler=True)

python run_worker.py

Method 2: Using @inject Decorator

If you don't need autoinjection or do not want to use custom DishkaWorker subclass.

1. Set Up Providers and Container

Same as Method 1.

2. Decorate Task Functions

Use @inject and annotate dependencies:

from dishka_rq import inject, FromDishka

@inject
def hello_world(hello: FromDishka[str]):
    return f"{hello} world!"

3. Configure Standard RQ Worker

Attach Dishka to an RQ worker:

from dishka_rq import setup_dishka
from rq import Worker
from redis import Redis

worker = Worker(queues=["default"], connection=Redis())
setup_dishka(worker, container)

worker.work(with_scheduler=True)

Requirements:

• Python 3.10+
• Dishka >= 1.4.2
• RQ >= 2.0