[Solved]-Tracking progress of a celery.group task?

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6👍

tinkering around on the shell (ipython’s tab auto-completion) I found that group_task (which is a celery.result.ResultSet object) had a method called completed_count which gave exactly what I needed.

Also found the documentation at http://docs.celeryproject.org/en/latest/reference/celery.result.html#celery.result.ResultSet.completed_count

👤Anuvrat Parashar

5👍

Here’s a full working example based on @dalore’s answer.

First tasks.py.

import time
from celery import Celery, group

app = Celery('tasks', broker='pyamqp://guest@127.0.0.1//', backend='redis://localhost')

@app.task(trail=True)
def add(x, y):
    time.sleep(1)
    return x + y

@app.task(trail=True)
def group_add(l1, l2):
    return group(add.s(x1, x2) for x1, x2 in zip(l1, l2))()

Start redis server using Docker: docker run --name my-redis -p 6379:6379 -d redis.

Start RabbitMQ using Docker: docker run -d --hostname my-rabbit --name my-rabbit -p 5672:5672 rabbitmq:alpine.

Start a single process celery worker in a separate shell: celery -A tasks worker --loglevel=info -c 1.

Then run the test script below.

from tasks import group_add
from tqdm import tqdm

total = 10

l1 = range(total)
l2 = range(total)
delayed_results = group_add.delay(l1, l2)
delayed_results.get()  # Wait for parent task to be ready.

results = []
for result in tqdm(delayed_results.children[0], total=total):
    results.append(result.get())
print(results)

You should see something like the following with the progress bar increasing by 10% every second.

50%|#####     | 5/10 [00:05<00:05,  1.01s/it
[0, 2, 4, 6, 8, 10, 12, 14, 16, 18]

Finally, clean up your redis and rabbitmq containers.

docker stop my-rabbit my-redis
docker rm my-rabbit my-redis
👤Carl

1👍

Reading the documentation for AsyncResult there is a collect method that collects results as they come in.

http://docs.celeryproject.org/en/latest/reference/celery.result.html#celery.result.AsyncResult.collect

from celery import group
from proj.celery import app

@app.task(trail=True)
def A(how_many):
    return group(B.s(i) for i in range(how_many))()

@app.task(trail=True)
def B(i):
    return pow2.delay(i)

@app.task(trail=True)
def pow2(i):
    return i ** 2

Example output:

>>> from celery.result import ResultBase
>>> from proj.tasks import A

>>> result = A.delay(10)
>>> [v for v in result.collect()
...  if not isinstance(v, (ResultBase, tuple))]
[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]

Note:
The Task.trail option must be enabled so that the list of children is stored in result.children. This is the default but enabled explicitly for illustration.

Edit:

Upon further testing this have found that whilst collect states it will collect results, it still waits. I found that to get the progress you need to get the result of the children, like so:

group_result = mygrouptask.delay().get()
for result in tqdm(group_result.children, total=count):
    yield result.get()

tqdm displays a progress in the console

The mygrouptask is a returning a celery group like so:

return group(mytask.s(arg) for arg in args)()
👤dalore

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