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Flask Academy · Lesson

Define and Call a Task

Write a task and dispatch it with delay.

Define and Call a Task is a free Flask Academy lesson on CoddyKit — lesson 3 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Flask Academy learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.

What a Task Is

A Celery task is just a Python function marked so workers can run it later. You decorate it once and it becomes enqueueable.

The task Decorator

Mark a function with the Celery task decorator. Now it has extra methods like delay that schedule it onto the queue.

@celery.task
def add(x, y):
    return x + y

Call It Normally vs Queued

Calling add(2, 3) runs it right now in your process. To run it on a worker instead, you call its delay method.

Enqueue with delay

The delay shortcut puts the job on the broker and returns immediately. The work happens later on a worker.

add.delay(2, 3)

apply_async for Options

Need more control like a countdown or queue name? Use apply_async, which takes args plus scheduling options.

add.apply_async(args=[2, 3], countdown=10)

You Get an AsyncResult

Both delay and apply_async return an AsyncResult. It carries the task id you use to look up the result later.

job = add.delay(2, 3)
print(job.id)

Arguments Must Serialize

Task arguments travel through the broker, so they must be serializable: use plain data like ints, strings, lists, and dicts.

Pass IDs, Not Objects

Do not send a database row to a task. Send its id instead, then re-fetch the object inside the task with a fresh session.

Enqueue Inside a View

A view validates input, enqueues the job, and returns a fast response. The user is not kept waiting for the slow part.

@app.post("/report")
def report():
    add.delay(2, 3)
    return {"status": "queued"}

Name Tasks Clearly

Give tasks descriptive names like send_welcome_email. Clear names make logs and the broker dashboard far easier to read. 🔍

Keep Tasks Small

A good task does one clear job. Small, focused tasks are easier to retry, monitor, and reason about when something breaks.

Quick Check

You want a function to run on a worker.

Recap

Decorate a function as a task, call delay or apply_async to queue it, pass serializable args, and enqueue from thin views. ✅

Frequently asked questions

Is the “Define and Call a Task” lesson free?

Yes — the full text of “Define and Call a Task” is free to read here on the web, and the Flask Academy course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Flask Academy course, upgrade to CoddyKit PRO.

What will I learn in “Define and Call a Task”?

Write a task and dispatch it with delay. You practise Flask Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start Flask Academy?

No prior experience is required. Flask Academy on CoddyKit is structured for beginners through advanced learners; this is — lesson 3 of 4, so you can start here or from the beginning and move at your own pace.

How long does the “Define and Call a Task” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this Flask Academy lesson?

Yes. Every Flask Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. Why Move Work Off the Request
  2. Wire Celery into the App Factory
  3. Define and Call a Task
  4. Track Results and Handle Failures
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