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authorS. Solomon Darnell2025-03-28 21:52:21 -0500
committerS. Solomon Darnell2025-03-28 21:52:21 -0500
commit4a52a71956a8d46fcb7294ac71734504bb09bcc2 (patch)
treeee3dc5af3b6313e921cd920906356f5d4febc4ed /.venv/lib/python3.12/site-packages/apscheduler/executors/pool.py
parentcc961e04ba734dd72309fb548a2f97d67d578813 (diff)
downloadgn-ai-master.tar.gz
two version of R2R are hereHEADmaster
Diffstat (limited to '.venv/lib/python3.12/site-packages/apscheduler/executors/pool.py')
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diff --git a/.venv/lib/python3.12/site-packages/apscheduler/executors/pool.py b/.venv/lib/python3.12/site-packages/apscheduler/executors/pool.py
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+++ b/.venv/lib/python3.12/site-packages/apscheduler/executors/pool.py
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+import concurrent.futures
+import multiprocessing
+from abc import abstractmethod
+from concurrent.futures.process import BrokenProcessPool
+
+from apscheduler.executors.base import BaseExecutor, run_job
+
+
+class BasePoolExecutor(BaseExecutor):
+ @abstractmethod
+ def __init__(self, pool):
+ super().__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.
+ :param pool_kwargs: dict of keyword arguments to pass to the underlying
+ ThreadPoolExecutor constructor
+ """
+
+ def __init__(self, max_workers=10, pool_kwargs=None):
+ pool_kwargs = pool_kwargs or {}
+ pool = concurrent.futures.ThreadPoolExecutor(int(max_workers), **pool_kwargs)
+ super().__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.
+ :param pool_kwargs: dict of keyword arguments to pass to the underlying
+ ProcessPoolExecutor constructor
+ """
+
+ def __init__(self, max_workers=10, pool_kwargs=None):
+ self.pool_kwargs = pool_kwargs or {}
+ self.pool_kwargs.setdefault("mp_context", multiprocessing.get_context("spawn"))
+ pool = concurrent.futures.ProcessPoolExecutor(
+ int(max_workers), **self.pool_kwargs
+ )
+ super().__init__(pool)
+
+ def _do_submit_job(self, job, run_times):
+ try:
+ super()._do_submit_job(job, run_times)
+ except BrokenProcessPool:
+ self._logger.warning(
+ "Process pool is broken; replacing pool with a fresh instance"
+ )
+ self._pool = self._pool.__class__(
+ self._pool._max_workers, **self.pool_kwargs
+ )
+ super()._do_submit_job(job, run_times)