gdzy1987 / django_dramatiq

A Django app that integrates with Dramatiq.

django_dramatiq

django_dramatiq is a Django app that integrates with Dramatiq.

Requirements

• Django 1.11+
• Dramatiq 0.18+

Example

You can find an example application built with django_dramatiq here.

Installation

pip install django_dramatiq

Add django_dramatiq to installed apps before any of your custom apps:

import os

INSTALLED_APPS = [
    "django_dramatiq",

    "myprojectapp1",
    "myprojectapp2",
    # etc...
]

Configure your broker in settings.py:

DRAMATIQ_BROKER = {
    "BROKER": "dramatiq.brokers.rabbitmq.RabbitmqBroker",
    "OPTIONS": {
        "url": "amqp://localhost:5672",
    },
    "MIDDLEWARE": [
        "dramatiq.middleware.Prometheus",
        "dramatiq.middleware.AgeLimit",
        "dramatiq.middleware.TimeLimit",
        "dramatiq.middleware.Callbacks",
        "dramatiq.middleware.Retries",
        "django_dramatiq.middleware.AdminMiddleware",
        "django_dramatiq.middleware.DbConnectionsMiddleware",
    ]
}

# Defines which database should be used to persist Task objects when the
# AdminMiddleware is enabled.  The default value is "default".
DRAMATIQ_TASKS_DATABASE = "default"

You may also configure a result backend:

DRAMATIQ_RESULT_BACKEND = {
    "BACKEND": "dramatiq.results.backends.redis.RedisBackend",
    "BACKEND_OPTIONS": {
        "url": "redis://localhost:6379",
    },
    "MIDDLEWARE_OPTIONS": {
        "result_ttl": 60000
    }
}

Usage

Declaring tasks

django_dramatiq will auto-discover tasks defined in tasks modules in each of your installed apps. For example, if you have an app named customers, your tasks for that app should live in a module called customers.tasks:

import dramatiq

from django.core.mail import send_mail

from .models import Customer

@dramatiq.actor
def email_customer(customer_id, subject, message):
    customer = Customer.get(pk=customer_id)
    send_mail(subject, message, "[email protected]", [customer.email])

Running workers

django_dramatiq comes with a management command you can use to auto-discover task modules and run workers:

python manage.py rundramatiq

If your project for some reason has apps with modules named tasks that are not intended for use with Dramatiq, you can ignore them:

DRAMATIQ_IGNORED_MODULES = (
    'app1.tasks',
    'app2.tasks',
    ...
)

Testing

You should have a separate settings file for test. In that file, overwrite the broker to use Dramatiq's StubBroker:

DRAMATIQ_BROKER = {
    "BROKER": "dramatiq.brokers.stub.StubBroker",
    "OPTIONS": {},
    "MIDDLEWARE": [
        "dramatiq.middleware.AgeLimit",
        "dramatiq.middleware.TimeLimit",
        "dramatiq.middleware.Callbacks",
        "dramatiq.middleware.Pipelines",
        "dramatiq.middleware.Retries",
        "django_dramatiq.middleware.AdminMiddleware",
        "django_dramatiq.middleware.DbConnectionsMiddleware",
    ]
}

Using pytest-django

In your conftest module set up fixtures for your broker and a worker:

import dramatiq
import pytest

@pytest.fixture
def broker():
    broker = dramatiq.get_broker()
    broker.flush_all()
    return broker

@pytest.fixture
def worker(broker):
    worker = dramatiq.Worker(broker, worker_timeout=100)
    worker.start()
    yield worker
    worker.stop()

In your tests, use those fixtures whenever you want background tasks to be executed:

def test_customers_can_be_emailed(transactional_db, broker, worker, mailoutbox):
    customer = Customer(email="[email protected]")
    # Assuming "send_welcome_email" enqueues an "email_customer" task
    customer.send_welcome_email()

    # Wait for all the tasks to be processed
    broker.join("default")
    worker.join()

    assert len(mailoutbox) == 1
    assert mailoutbox[0].subject == "Welcome Jim!"

Using unittest

A simple test case has been provided that will automatically set up the broker and worker for each test, which are accessible as attributes on the test case. Note that DramatiqTestCase inherits django.test.TransactionTestCase.

from django.core import mail
from django.test import override_settings
from django_dramatiq.test import DramatiqTestCase


class CustomerTestCase(DramatiqTestCase):

    @override_settings(EMAIL_BACKEND='django.core.mail.backends.locmem.EmailBackend')
    def test_customers_can_be_emailed(self):
        customer = Customer(email="[email protected]")
        # Assuming "send_welcome_email" enqueues an "email_customer" task
        customer.send_welcome_email()

        # Wait for all the tasks to be processed
        self.broker.join(customer.queue_name)
        self.worker.join()

        self.assertEqual(len(mail.outbox), 1)
        self.assertEqual(mail.outbox[0].subject, "Welcome Jim!")

Cleaning up old tasks

The AdminMiddleware stores task metadata in a relational DB so it's a good idea to garbage collect that data every once in a while. You can use the delete_old_tasks actor to achieve this on a cron:

delete_old_tasks.send(max_task_age=86400)

Middleware

django_dramatiq.middleware.AdminMiddleware

This middleware stores metadata about tasks in flight to a database and exposes them via the Django admin.

django_dramatiq.middleware.DbConnectionsMiddleware

This middleware is vital in taking care of closing expired connections after each message is processed.

Usage with django-configurations

To use django_dramatiq together with django-configurations you need to define your own rundramatiq command as a subclass of the one in this package.

In YOURPACKAGE/management/commands/rundramatiq.py:

from django_dramatiq.management.commands.rundramatiq import Command as RunDramatiqCommand


class Command(RunDramatiqCommand):
    def discover_tasks_modules(self):
        tasks_modules = super().discover_tasks_modules()
        tasks_modules[0] = "YOURPACKAGE.dramatiq_setup"
        return tasks_modules

And in YOURPACKAGE/dramatiq_setup.py:

import django

from configurations.importer import install

install(check_options=True)
django.setup()

Running project tests locally

Install the dev dependencies with pip install -e '.[dev]' and then run tox.

License

django_dramatiq is licensed under Apache 2.0. Please see LICENSE for licensing details.