This document describes the current stable version of Celery (3.1). For development docs, go here.

celery.concurrency.base

celery.concurrency.base

TaskPool interface.

class celery.concurrency.base.BasePool(limit=None, putlocks=True, forking_enable=True, callbacks_propagate=(), **options)

CLOSE = 2

RUN = 1

TERMINATE = 3

class Timer(schedule=None, on_error=None, on_tick=None, on_start=None, max_interval=None, **kwargs)

class Entry(fun, args=None, kwargs=None)

args

cancel()

cancelled

fun

kwargs

tref

Schedule

alias of Timer

call_after(*args, **kwargs)

call_at(*args, **kwargs)

call_repeatedly(*args, **kwargs)

cancel(tref)

clear()

empty()

ensure_started()

enter(entry, eta, priority=None)

enter_after(*args, **kwargs)

exit_after(secs, priority=10)

next()

on_tick = None

queue

run()

running = False

stop()

active

apply_async(target, args=[], kwargs={}, **options)

Equivalent of the apply() built-in function.

Callbacks should optimally return as soon as possible since otherwise the thread which handles the result will get blocked.

close()

did_start_ok()

flush()

info

is_green = False

set to true if pool uses greenlets.

maintain_pool(*args, **kwargs)

num_processes

on_apply(*args, **kwargs)

on_close()

on_hard_timeout(job)

on_soft_timeout(job)

on_start()

on_stop()

on_terminate()

register_with_event_loop(loop)

restart()

signal_safe = True

set to true if the pool can be shutdown from within a signal handler.

start()

stop()

task_join_will_block = True

terminate()

terminate_job(pid, signal=None)

uses_semaphore = False

only used by multiprocessing pool

celery.concurrency.base.apply_target(target, args=(), kwargs={}, callback=None, accept_callback=None, pid=None, getpid=<built-in function getpid>, propagate=(), monotonic=<function _monotonic>, **_)