"""
Many resources on the web recommend using celery.task. This might cause circular imports since you'll have to import the Celery instance.
We used shared_task to make our code reusable, which, again, requires current_app in create_celery instead of creating a new Celery instance.
Now, we can copy this file anywhere in the app and it will work as expected. In short shared_task lets you define Celery tasks without
having to import the Celery instance, so it can make your task code more reusable.
"""
import random

import requests
from asgiref.sync import async_to_sync
from celery import shared_task
from celery.signals import task_postrun
from celery.utils.log import get_task_logger

# See https://docs.celeryq.dev/en/stable/userguide/tasks.html#logging
logger = get_task_logger(__name__)


@shared_task
def divide(x, y):

    import time

    time.sleep(5)
    return x / y


@shared_task
def add(x, y):
    import time

    time.sleep(5)
    return x + y


@shared_task
def sample_task(email):
    """A sample task simulating calling an external API."""
    from project.users.views import api_call

    api_call(email)


# Since we set bind to True, this is a bound task, so the first argument to the task
# will always be the current task instance (self). Because of this, we can call self.retry
# to retry the failed task.
@shared_task(bind=True)
def task_process_notification(self):
    try:
        if not random.choice([0, 1]):
            # mimic random error
            raise Exception()

        # this would block the I/O
        requests.post("https://httpbin.org/delay/5", timeout=30)
    except Exception as e:

        logger.error("exception raised, it would be retry after 5 seconds")
        # Remember to raise the exception returned by the self.retry method to make it work.
        # By setting the countdown argument to 5, the task will retry after a 5 second delay.
        raise self.retry(exc=e, countdown=5)


@task_postrun.connect
def task_postrun_handler(task_id, **kwargs):  # pylint: disable=unused-argument
    """
    Celery signal handler called after each Celery task is executed.

    Sends a message to the relevant channel via the `update_celery_task_status`.
    Celery does not support asyncio so we must convert the async function, to a
    synchronous function with asgiref.
    """
    from project.ws.views import update_celery_task_status

    async_to_sync(update_celery_task_status)(task_id)