Django app for manage async tasks by http requests
Project description
django-i3tasks
Django app for managing async tasks via HTTP using Google Cloud Pub/Sub.
pip install django-i3tasks
Quick start
1. Add to INSTALLED_APPS
INSTALLED_APPS = [
...,
"django_i3tasks",
]
2. Include the URL configuration
# urls.py
from django.urls import path, include
urlpatterns = [
...,
path("i3/", include("django_i3tasks.urls")),
]
This registers two endpoints:
POST /i3/tasks-push/— receives tasks pushed by Pub/SubPOST /i3/tasks-beat/— triggered by an external scheduler (e.g. Google Cloud Scheduler) to run scheduled tasks
3. Run migrations
python manage.py migrate
This creates the tables for task executions, attempts, and results.
4. Configure settings
Local / emulator
from django_i3tasks.types import I3TasksSettings, Queue, Schedule
PUBSUB_CONFIG = {
"EMULATOR": True,
"HOST": "localhost:8085", # or named host in Docker Compose
"PROJECT_ID": "my-project",
"CREDENTIALS": False,
}
I3TASKS = I3TasksSettings(
namespace=f"tasks.{SHORT_PROJECT_NAME}",
default_queue=Queue(
queue_name="default",
subscription_name="default",
push_endpoint="http://localhost:8000/i3/tasks-push/",
),
other_queues=(),
schedules=(
Schedule(
module_name="myapp.tasks",
func_name="my_scheduled_task",
cron="* * * * *",
args=[],
kwargs={},
),
),
)
Production (Google Cloud)
from django_i3tasks.types import I3TasksSettings, Queue, Schedule
PUBSUB_CONFIG = {
"EMULATOR": False,
"PROJECT_ID": "my-project",
"CREDENTIALS": "/app/conf/credentials.json", # path to service account JSON
}
I3TASKS = I3TasksSettings(
namespace=f"tasks.{SHORT_PROJECT_NAME}",
default_queue=Queue(
queue_name="default",
subscription_name="default",
push_endpoint="https://your-host.example.com/i3/tasks-push/",
),
other_queues=(),
schedules=(),
)
5. Ensure Pub/Sub topics and subscriptions exist
Run this once to create the required Pub/Sub resources:
python manage.py i3tasks_ensure_pubsub
This is also called automatically on startup if run_queue_create_command_on_startup=True (the default).
Defining tasks
Decorate any function with @TaskDecorator to make it an async task:
# myapp/tasks.py
from django_i3tasks.utils import TaskDecorator
@TaskDecorator
def send_email(recipient, subject, body):
# your logic here
pass
Running a task asynchronously
from myapp.tasks import send_email
send_email.delay("user@example.com", "Hello", "World")
# or equivalently:
send_email.async_run("user@example.com", "Hello", "World")
Running a task synchronously
send_email.sync_run("user@example.com", "Hello", "World")
# or call it directly:
send_email("user@example.com", "Hello", "World")
Accessing task metadata inside the function (bind)
When bind=True, the task receives itself as task_metadata:
@TaskDecorator(bind=True)
def my_task(arg1, task_metadata=None):
print(task_metadata) # TaskObj instance
Task chaining
.delay() returns a ChainHandle. Use .then() to schedule a follow-up task that runs after the current one succeeds:
from myapp.tasks import send_email, log_sent
send_email.delay("user@example.com", "Hello", "World").then(log_sent)
You can chain multiple steps:
send_email.delay(...).then(step_two).then(step_three)
Each step is persisted to the database. If the original task is executed by Pub/Sub, the next step in the chain is enqueued automatically on success.
on_success shorthand
For a single fixed follow-up, declare it on the decorator:
@TaskDecorator(on_success=log_sent)
def send_email(recipient, subject, body):
...
Every .delay() call will automatically chain log_sent after a successful execution.
Task groups (fan-out / join)
Use TaskGroup to fan out N parallel tasks and run a callback when all of them succeed.
Basic usage
from django_i3tasks.models import TaskGroup
from myapp.tasks import process_item, all_done
# 1. Create the group — declare the callback and the expected member count.
group = TaskGroup.create(callback=all_done, total_count=3)
# 2. Dispatch member tasks, passing the group via __i3group__.
for item in items:
process_item.delay(item, __i3group__=group)
all_done is called automatically once all 3 members complete successfully. If any member exceeds its retry limit, the group is marked failed and the callback is never called.
Callback with a chain
Use build_chain() to attach a chain to the callback without dispatching it immediately:
from myapp.tasks import all_done, notify_admin
chain = all_done.build_chain().then(notify_admin)
group = TaskGroup.create(callback=chain, total_count=3)
When the join fires, all_done is called and notify_admin is chained after it.
TaskGroup states
| Status | Meaning |
|---|---|
pending |
Waiting for members to complete |
success |
All members succeeded; callback dispatched |
failed |
At least one member exceeded retries |
I3TasksSettings reference
| Parameter | Type | Default | Description |
|---|---|---|---|
namespace |
str |
required | Prefix for Pub/Sub topic/subscription names |
default_queue |
Queue |
required | Default queue configuration |
other_queues |
tuple[Queue] |
() |
Additional queues |
schedules |
tuple[Schedule] |
() |
Scheduled tasks (cron-based) |
force_sync |
bool |
False |
If True, .delay() runs synchronously (useful for testing) |
default_max_retries |
int |
3 |
Maximum retry attempts on failure |
run_queue_create_command_on_startup |
bool |
True |
Auto-run i3tasks_ensure_pubsub on app startup |
How it works
.delay()serializes the task and publishes it to Google Cloud Pub/Sub.- A
TaskExecutionand aTaskExecutionTryrecord are saved to the database. - The Pub/Sub push subscription delivers the message to
/i3/tasks-push/. - The endpoint deserializes and executes the task, saving the result.
- On failure, the task is re-enqueued up to
default_max_retriestimes.
Scheduled tasks are triggered by hitting /i3/tasks-beat/. The app evaluates each configured Schedule's cron expression and runs matching tasks.
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