mylar/lib/apscheduler/schedulers/tornado.py

64 lines
1.9 KiB
Python

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