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After reviewing the source code of django-celery-result it turns out the code is pretty simple and straight-forward.
In order to use django-celery-result to store tasks after the task function is called use the following:
from django_celery_results.models import TaskResult
import json
@shared_task(bind=True)
def foo(self, count):
print('hello')
task_result = TaskResult.objects.get(self.request.id)
counter = 1
interval = 20 #Limit updates to reduce database queries
interval_count = count/interval
for i in range(count):
print(i)
if counter>= interval_count:
interval_count+=count/interval
task_result.meta = json.dumps({'progress': counter/count})
task_result.save()
counter+=1
task_result.save()
return
def goo()
task = foo.delay(1000)
task_result = TaskResult(task_id=task.task_id)
task_result.save()
👤Ouss
Source:stackexchange.com