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from abc import abstractmethod
import concurrent.futures
from apscheduler.executors.base import BaseExecutor, run_job
class BasePoolExecutor(BaseExecutor):
@abstractmethod
def __init__(self, pool):
super(BasePoolExecutor, self).__init__()
self._pool = pool
def _do_submit_job(self, job, run_times):
def callback(f):
exc, tb = (f.exception_info() if hasattr(f, 'exception_info') else
(f.exception(), getattr(f.exception(), '__traceback__', None)))
if exc:
self._run_job_error(job.id, exc, tb)
else:
self._run_job_success(job.id, f.result())
f = self._pool.submit(run_job, job, job._jobstore_alias, run_times, self._logger.name)
f.add_done_callback(callback)
def shutdown(self, wait=True):
self._pool.shutdown(wait)
class ThreadPoolExecutor(BasePoolExecutor):
"""
An executor that runs jobs in a concurrent.futures thread pool.
Plugin alias: ``threadpool``
:param max_workers: the maximum number of spawned threads.
"""
def __init__(self, max_workers=10):
pool = concurrent.futures.ThreadPoolExecutor(int(max_workers))
super(ThreadPoolExecutor, self).__init__(pool)
class ProcessPoolExecutor(BasePoolExecutor):
"""
An executor that runs jobs in a concurrent.futures process pool.
Plugin alias: ``processpool``
:param max_workers: the maximum number of spawned processes.
"""
def __init__(self, max_workers=10):
pool = concurrent.futures.ProcessPoolExecutor(int(max_workers))
super(ProcessPoolExecutor, self).__init__(pool)
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