Celery does not update any state when a task is sent, and any task with no history is assumed to be pending (you know the task id after all). Fetch and return the state of the given celery task. Creating an AsyncResult object from the task id is the way recommended in the FAQ to obtain the task status when the only thing you have is the task id.. I then run celery_test.py to call the task. This is not so easy to do accidentally on Celery since version 4, which changed the default serializer from Pickle to JSON . I tried the following: from celery.task import task from celery import states @task() def run_simulation(): if some_condition: run_simulation.update_state(state=states.FAILURE) return False However, the task … Returns forget [source] ¶ Forget the result of this task and its parents. See the description and example there. The scope of this function is global so that it can be called by subprocesses in the pool. However, as of Celery 3.x, there are significant caveats that could bite people if they do not pay attention to them. See the description and example there. Make sure that the task does not have ignore_result enabled. I can’t describe this more completely than Celery’s documentation on task state. C:\Scripts\playground>python celery_test.py PENDING PENDING PENDING PENDING PENDING PENDING PENDING Which then results in this log from the worker. Monitor a celery task state without polling? Tasks — Celery 4.4.7 documentation; Tasks — Celery 4.0.1 documentation; Building Progress Bars for the Web with Django and Celery; jobtastic PyPI; Managing asynchronous backend tasks with Django and Celery; Task Queues; Celery in the wild: tips and tricks to run async tasks in the real world It works using AsyncResult. By voting up you can indicate which examples are most useful and appropriate. Under some conditions, I want to make a celery task fail from within that task. Here are the examples of the python api celery.worker.state.task_ready taken from open source projects. class celery.result.EagerResult (id, ret_value, state, traceback = None) [source] ¶ Result that we know has already been executed. It really depends on the specific use-case scenario. Enabling this option will force the worker to skip updating states. async_result (tuple(str, celery.result.AsyncResult)) -- a tuple of the Celery task key and the async Celery object used to fetch the task's state. So first create the task: from cel.tasks import add res = add.delay(3,4) print(res.status) # 'SUCCESS' print(res.id) # '432890aa-4f02-437d-aaca-1999b70efe8d' get (timeout = None, propagate = True, disable_sync_subtasks = True, ** kwargs) [source] ¶ Wait until task … python celery_test.py. (see this answer). celery._state.get_current_worker_task [source] ¶ Currently executing task, that was applied by the worker. 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