mirror of https://github.com/evilhero/mylar
135 lines
4.6 KiB
Python
Executable File
135 lines
4.6 KiB
Python
Executable File
"""
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Jobs represent scheduled tasks.
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"""
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from threading import Lock
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from datetime import timedelta
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from lib.apscheduler.util import to_unicode, ref_to_obj, get_callable_name,\
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obj_to_ref
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class MaxInstancesReachedError(Exception):
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pass
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class Job(object):
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"""
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Encapsulates the actual Job along with its metadata. Job instances
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are created by the scheduler when adding jobs, and it should not be
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directly instantiated.
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:param trigger: trigger that determines the execution times
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:param func: callable to call when the trigger is triggered
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:param args: list of positional arguments to call func with
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:param kwargs: dict of keyword arguments to call func with
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:param name: name of the job (optional)
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:param misfire_grace_time: seconds after the designated run time that
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the job is still allowed to be run
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:param coalesce: run once instead of many times if the scheduler determines
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that the job should be run more than once in succession
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:param max_runs: maximum number of times this job is allowed to be
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triggered
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:param max_instances: maximum number of concurrently running
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instances allowed for this job
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"""
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id = None
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next_run_time = None
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def __init__(self, trigger, func, args, kwargs, misfire_grace_time,
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coalesce, name=None, max_runs=None, max_instances=1):
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if not trigger:
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raise ValueError('The trigger must not be None')
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if not hasattr(func, '__call__'):
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raise TypeError('func must be callable')
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if not hasattr(args, '__getitem__'):
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raise TypeError('args must be a list-like object')
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if not hasattr(kwargs, '__getitem__'):
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raise TypeError('kwargs must be a dict-like object')
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if misfire_grace_time <= 0:
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raise ValueError('misfire_grace_time must be a positive value')
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if max_runs is not None and max_runs <= 0:
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raise ValueError('max_runs must be a positive value')
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if max_instances <= 0:
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raise ValueError('max_instances must be a positive value')
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self._lock = Lock()
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self.trigger = trigger
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self.func = func
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self.args = args
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self.kwargs = kwargs
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self.name = to_unicode(name or get_callable_name(func))
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self.misfire_grace_time = misfire_grace_time
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self.coalesce = coalesce
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self.max_runs = max_runs
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self.max_instances = max_instances
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self.runs = 0
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self.instances = 0
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def compute_next_run_time(self, now):
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if self.runs == self.max_runs:
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self.next_run_time = None
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else:
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self.next_run_time = self.trigger.get_next_fire_time(now)
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return self.next_run_time
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def get_run_times(self, now):
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"""
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Computes the scheduled run times between ``next_run_time`` and ``now``.
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"""
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run_times = []
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run_time = self.next_run_time
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increment = timedelta(microseconds=1)
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while ((not self.max_runs or self.runs < self.max_runs) and
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run_time and run_time <= now):
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run_times.append(run_time)
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run_time = self.trigger.get_next_fire_time(run_time + increment)
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return run_times
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def add_instance(self):
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self._lock.acquire()
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try:
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if self.instances == self.max_instances:
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raise MaxInstancesReachedError
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self.instances += 1
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finally:
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self._lock.release()
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def remove_instance(self):
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self._lock.acquire()
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try:
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assert self.instances > 0, 'Already at 0 instances'
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self.instances -= 1
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finally:
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self._lock.release()
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def __getstate__(self):
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# Prevents the unwanted pickling of transient or unpicklable variables
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state = self.__dict__.copy()
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state.pop('instances', None)
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state.pop('func', None)
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state.pop('_lock', None)
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state['func_ref'] = obj_to_ref(self.func)
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return state
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def __setstate__(self, state):
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state['instances'] = 0
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state['func'] = ref_to_obj(state.pop('func_ref'))
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state['_lock'] = Lock()
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self.__dict__ = state
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def __eq__(self, other):
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if isinstance(other, Job):
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return self.id is not None and other.id == self.id or self is other
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return NotImplemented
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def __repr__(self):
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return '<Job (name=%s, trigger=%s)>' % (self.name, repr(self.trigger))
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def __str__(self):
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return '%s (trigger: %s, next run at: %s)' % (self.name,
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str(self.trigger), str(self.next_run_time))
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