python - Celery Generating group tasks from chain task -

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i trying chain following tasks celery(v4.0),

task = group([tasks1.s(), task2.s()) | generate_job_requests.s() | execute_job.map() | aggregate_result.s() result = task.get()

above part working fine upto generate_job_requests chord. problem starts execute_job gets list of jobs generate_job_requests, need create parallel tasks , later on aggregate result of jobs.

i trying validate whether such kind of taskgraph possible celery ? there possible alternate workflow solve problem such dependency ? missing in documentation.

i used map functionality intermediate task creator acts chord,

@shared_task(ignore_result=false) def dmap(it, callback, end_task):     callback = subtask(callback)     grp = group(callback.clone([arg, ]) arg in it)     c = (grp | end_task)     return c()

so task flow reduced this,

task = (group([tasks1.s(), task2.s()) | generate_job_requests.s() | dmap.s(         execute_job.s(), aggregate_result.s())).apply_async()

for getting ultimate output of task, did few tweaks,

# dmap task id here dmap_task = celery_app.asyncresult(task.id) dmap_result = dmap_task.get() # actual aggregate_result task id aggr_res_task_id = dmap_result[0][0] result = celery_app.asyncresult(aggr_res_task_id) # here receive actual output of overall task result.get()

i referred answer


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