Display progress on dask.compute(*something) call

I have the following structure on my code using Dask:

@dask.delayed
def calculate(data):
    services = data.service_id
    prices = data.price
    
    return [services, prices]

output = []

for qid in notebook.tqdm(ids):
    r = calculate(parts[parts.quotation_id == qid])
    output.append(r)

Turns out that, when I call the dask.compute() method over my output list, I don't have any progress indication. The Diagnostic UI don't "capture" this action, and I'm not even sure that's properly running (judging by my processor usage, I think it's not).

result = dask.compute(*output)

I'm following the "best practices" article from the dask's documentation:

https://docs.dask.org/en/latest/delayed-best-practices.html

What I'm missing?

Edit: I think it's running, because I still got memory leak/high usage warnings. Still no progress indication.

As pointed out in the related post, dask has two methods for displaying the progress: one for "normal" dask, and one for dask.distributed.

Here's a reproducible example:

import random 
from time import sleep

import dask
from dask.diagnostics import ProgressBar
from dask.distributed import Client, progress

# simulate work
@dask.delayed
def work(x):

    sleep(x)
    return True
    

# generate tasks

random.seed(42)
tasks = [work(random.randint(1,5)) for x in range(50)]

Using plain dask

ProgressBar().register()
dask.compute(*tasks)

produces:

using dask.distributed

client = Client()
futures = client.compute(tasks)

progress(futures)

produces: