Have you configured worker tasks in Celery for background processes?

Yes, I have configured worker tasks in Celery for executing background processes. This typically involves:

• Defining a task using the @app.task decorator.
• Starting the worker with the command celery -A proj worker.
• Setting up a message broker (such as RabbitMQ or Redis) for task transmission.

A simple task example:

from celery import Celery

app = Celery('tasks', broker='redis://localhost:6379/0')

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

After starting the worker, you can call the task asynchronously:

result = add.delay(4, 6)
print(result.get())  # 10

This approach allows executing long or resource-intensive operations in the background without blocking the main application thread.