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55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
4 years ago
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from __future__ import absolute_import
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import sys
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from concurrent.futures import ThreadPoolExecutor
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from tornado.gen import convert_yielded
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from apscheduler.executors.base import BaseExecutor, run_job
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try:
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from apscheduler.executors.base_py3 import run_coroutine_job
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from apscheduler.util import iscoroutinefunction_partial
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except ImportError:
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def iscoroutinefunction_partial(func):
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return False
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class TornadoExecutor(BaseExecutor):
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"""
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Runs jobs either in a thread pool or directly on the I/O loop.
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If the job function is a native coroutine function, it is scheduled to be run directly in the
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I/O loop as soon as possible. All other functions are run in a thread pool.
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Plugin alias: ``tornado``
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:param int max_workers: maximum number of worker threads in the thread pool
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"""
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def __init__(self, max_workers=10):
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super(TornadoExecutor, self).__init__()
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self.executor = ThreadPoolExecutor(max_workers)
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def start(self, scheduler, alias):
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super(TornadoExecutor, self).start(scheduler, alias)
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self._ioloop = scheduler._ioloop
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def _do_submit_job(self, job, run_times):
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def callback(f):
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try:
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events = f.result()
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except BaseException:
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self._run_job_error(job.id, *sys.exc_info()[1:])
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else:
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self._run_job_success(job.id, events)
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if iscoroutinefunction_partial(job.func):
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f = run_coroutine_job(job, job._jobstore_alias, run_times, self._logger.name)
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else:
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f = self.executor.submit(run_job, job, job._jobstore_alias, run_times,
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self._logger.name)
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f = convert_yielded(f)
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f.add_done_callback(callback)
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