gcloudtasks 0.0.1

A simplified package to integrate google cloud tasks into your django application within 5 minutes.

A simplified package to integrate google cloud tasks into your django application within 5 minutes.

Documentation

Quickstart

Install django-gcloud-tasks:

pip install gcloudtasks

Add it to your INSTALLED_APPS:

INSTALLED_APPS = (
    ...
    'gcloudtasks',
    ...
)

One the instance that would be processing the tasks, add django-gcloud-tasks’s URL patterns:

urlpatterns = [
    ...
    path('__tasks/', include('gcloudtasks.urls')),
    ...
]

You need to configure a few settings. Available settings include:

• GTASK_PROJECT_ID: (required) This is your project ID which you obtain from your google console.

• GTASK_PROJECT_LOCATION: (required) Your project location, the default from google console is usually us-central1, but I still advise you confirm yours.

• GTASK_CREDENTIAL_FILE: Absolute file to your google account credentials json file. This one is not required if GOOGLE_APPLICATION_CREDENTIALS is set to environmental variables.

• GTASK_TARGET_WORKER_HOST: (required) Absolute URL of the worker instance that will process the task. (e.g. https://example.com)

• GTASK_SEND_TO_REMOTE: Defaults to True, this says if the task should be forwarded to the google tasks remote queue or not. You might want to change this to False in development environment.

• GTASK_MODEL_CLASS: Defaults to ‘gcloudtasks.Task’. You would want to change this if you intend to use a custom model for task management.

• GTASK_HANDLER_NAMESPACE: Defaults to empty. Only required if you added a namespace to the URL pattern entry. Otherwise, not necessary.

Signals

To use the signals, simply create a receiver like below:

from gcloudtasks.tasks import task_created_signal

@receiver(task_created_signal)
def some_function(sender, instance, created, **kwargs):
    pass

Extend the Task Model

Create custom task model:

Assuming this model file is campaigns/models.py

from gcloudtasks.models import Task

class CustomTask(Task):
    user = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE)
    ...
    ...

Then in settings.py, With respect to the file name, we do:

GTASK_MODEL_CLASS = 'campaigns.CustomTask'

Functions

Create Task: To create a task, simple decorate the function with @task. This decorator takes in two parameters queue and name. Only the queue is compulsory. queue is the name of the task queue which you want the task to run on. The name is automatically generated if not provided. If you do not have a queue already, there is a function that lets you check, and create if it does not exist.

# To create get or create queue

from gcloudtasks.queues import get_or_create_queue

get_or_create_queue(queue_name)

To actually create task, you could create a specialized file and name it tasks.py or whatever you want and add your task functions there.

from gcloudtasks.executor import task


@task(queue='my-default-queue')
def sum_numbers(a, b):
    # do something in the function
    pass

You would then in your views.py or anywhere for that matter, do something like this to execute this task

from .tasks import sum_numbers

class SomeView(FormView):
    ....

    def form_valid(self, form):
        ...
        sum_numbers(a=10, b=20).run()

You would notice that the parameters were passed as keyword arguments, that is compulsory. And should you want to schedule this task, run takes two possible non-required arguments; delay and scheduled_time. delay should be a datetime.timedelta instance while the scheduled_time is expected to be a timezone-aware datetime instance.

To run the sum_numbers function after 2 days. I could do

sum_numbers(a=10, b=20).run(delay=timedelta(days=2))

Features

• Tasks management through django admin.

• Extendable Task model.

• Task creation model signal.

• Extended support for libraries like django-tenant-schemas.

Extended Support

Django tenant schemas was put into consideration when writing the library. It is understood that you might want to route the task to a particular domain on the worker instance or whichever server is handling the tasks, so it is possible to override GTASK_TARGET_WORKER_HOST for every task execution by simply passing host parameter into the run function like below.

sum_numbers(a=10, b=20).run(host='https://somedomain.example.com')

Gotchas

• Pass only JSON serializable objects into the task functions. If you need a model in there, pass the id and retrieve the model inside the function. e.g.

# Inside your tasks.py or wherever your task functions reside.
@task(queue='my-default-queue')
def mark_as_done(todo_id):
    todo = Todo.objects.get(pk=todo_id)
    ...


# Where the task is being called
mark_as_done(todo_id=todo.id).run()

Credits

Tools used in rendering this package:

• Cookiecutter

• cookiecutter-djangopackage

History

0.0.1 (2020-05-03)

• First release on PyPI.