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64 lines
1.9 KiB
Python
64 lines
1.9 KiB
Python
4 years ago
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from __future__ import absolute_import
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from datetime import timedelta
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from functools import wraps
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from apscheduler.schedulers.base import BaseScheduler
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from apscheduler.util import maybe_ref
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try:
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from tornado.ioloop import IOLoop
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except ImportError: # pragma: nocover
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raise ImportError('TornadoScheduler requires tornado installed')
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def run_in_ioloop(func):
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@wraps(func)
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def wrapper(self, *args, **kwargs):
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self._ioloop.add_callback(func, self, *args, **kwargs)
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return wrapper
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class TornadoScheduler(BaseScheduler):
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"""
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A scheduler that runs on a Tornado IOLoop.
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The default executor can run jobs based on native coroutines (``async def``).
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=========== ===============================================================
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``io_loop`` Tornado IOLoop instance to use (defaults to the global IO loop)
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=========== ===============================================================
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"""
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_ioloop = None
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_timeout = None
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@run_in_ioloop
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def shutdown(self, wait=True):
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super(TornadoScheduler, self).shutdown(wait)
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self._stop_timer()
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def _configure(self, config):
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self._ioloop = maybe_ref(config.pop('io_loop', None)) or IOLoop.current()
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super(TornadoScheduler, self)._configure(config)
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def _start_timer(self, wait_seconds):
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self._stop_timer()
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if wait_seconds is not None:
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self._timeout = self._ioloop.add_timeout(timedelta(seconds=wait_seconds), self.wakeup)
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def _stop_timer(self):
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if self._timeout:
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self._ioloop.remove_timeout(self._timeout)
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del self._timeout
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def _create_default_executor(self):
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from apscheduler.executors.tornado import TornadoExecutor
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return TornadoExecutor()
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@run_in_ioloop
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def wakeup(self):
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self._stop_timer()
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wait_seconds = self._process_jobs()
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self._start_timer(wait_seconds)
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