This document describes the current stable version of Celery (5.0). For development docs, go here.

Source code for celery.concurrency.thread

"""Thread execution pool."""

import sys
from concurrent.futures import ThreadPoolExecutor, wait

from .base import BasePool, apply_target

__all__ = ('TaskPool',)

class ApplyResult:
    def __init__(self, future):
        self.f = future
        self.get = self.f.result

    def wait(self, timeout=None):
        wait([self.f], timeout)

[docs]class TaskPool(BasePool): """Thread Task Pool.""" body_can_be_buffer = True signal_safe = False def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) # from 3.5, it is calculated from number of CPUs if (3, 0) <= sys.version_info < (3, 5) and self.limit is None: self.limit = 5 self.executor = ThreadPoolExecutor(max_workers=self.limit)
[docs] def on_stop(self): self.executor.shutdown() super().on_stop()
[docs] def on_apply(self, target, args=None, kwargs=None, callback=None, accept_callback=None, **_): f = self.executor.submit(apply_target, target, args, kwargs, callback, accept_callback) return ApplyResult(f)
def _get_info(self): return { 'max-concurrency': self.limit, 'threads': len(self.executor._threads) # TODO use a public api to retrieve the current number of threads # in the executor when available. (Currently not available). }