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https://github.com/python-telegram-bot/python-telegram-bot.git
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255 lines
8 KiB
Python
255 lines
8 KiB
Python
#!/usr/bin/env python
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#
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# A library that provides a Python interface to the Telegram Bot API
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# Copyright (C) 2015-2016
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# Leandro Toledo de Souza <devs@python-telegram-bot.org>
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Lesser Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Lesser Public License for more details.
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#
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# You should have received a copy of the GNU Lesser Public License
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# along with this program. If not, see [http://www.gnu.org/licenses/].
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"""This module contains the classes JobQueue and Job."""
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import logging
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import time
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from threading import Thread, Lock, Event
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from queue import PriorityQueue, Empty
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class JobQueue(object):
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"""This class allows you to periodically perform tasks with the bot.
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Attributes:
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queue (PriorityQueue):
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bot (Bot):
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prevent_autostart (Optional[bool]): If ``True``, the job queue will not be started
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automatically. Defaults to ``False``
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Args:
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bot (Bot): The bot instance that should be passed to the jobs
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"""
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def __init__(self, bot, prevent_autostart=False):
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self.queue = PriorityQueue()
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self.bot = bot
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self.logger = logging.getLogger(self.__class__.__name__)
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self.__start_lock = Lock()
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self.__next_peek_lock = Lock() # to protect self._next_peek & self.__tick
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self.__tick = Event()
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self.__thread = None
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""":type: Thread"""
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self._next_peek = None
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""":type: float"""
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self._running = False
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if not prevent_autostart:
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self.logger.debug('Auto-starting %s', self.__class__.__name__)
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self.start()
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def put(self, job, next_t=None):
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"""Queue a new job. If the JobQueue is not running, it will be started.
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Args:
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job (Job): The ``Job`` instance representing the new job
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next_t (Optional[float]): Time in seconds in which the job should be executed first.
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Defaults to ``job.interval``
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"""
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job.job_queue = self
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if next_t is None:
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next_t = job.interval
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now = time.time()
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next_t += now
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self.logger.debug('Putting job %s with t=%f', job.name, next_t)
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self.queue.put((next_t, job))
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# Wake up the loop if this job should be executed next
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self._set_next_peek(next_t)
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def _set_next_peek(self, t):
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"""
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Set next peek if not defined or `t` is before next peek.
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In case the next peek was set, also trigger the `self.__tick` event.
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"""
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with self.__next_peek_lock:
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if not self._next_peek or self._next_peek > t:
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self._next_peek = t
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self.__tick.set()
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def tick(self):
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"""
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Run all jobs that are due and re-enqueue them with their interval.
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"""
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now = time.time()
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self.logger.debug('Ticking jobs with t=%f', now)
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while True:
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try:
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t, job = self.queue.get(False)
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except Empty:
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break
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self.logger.debug('Peeked at %s with t=%f', job.name, t)
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if t > now:
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# we can get here in two conditions:
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# 1. At the second or later pass of the while loop, after we've already processed
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# the job(s) we were supposed to at this time.
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# 2. At the first iteration of the loop only if `self.put()` had triggered
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# `self.__tick` because `self._next_peek` wasn't set
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self.logger.debug("Next task isn't due yet. Finished!")
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self.queue.put((t, job))
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self._set_next_peek(t)
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break
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if job._remove.is_set():
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self.logger.debug('Removing job %s', job.name)
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continue
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if job.enabled:
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self.logger.debug('Running job %s', job.name)
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try:
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job.run(self.bot)
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except:
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self.logger.exception('An uncaught error was raised while executing job %s',
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job.name)
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else:
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self.logger.debug('Skipping disabled job %s', job.name)
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if job.repeat:
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self.put(job)
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def start(self):
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"""
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Starts the job_queue thread.
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"""
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self.__start_lock.acquire()
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if not self._running:
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self._running = True
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self.__start_lock.release()
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self.__thread = Thread(target=self._main_loop, name="job_queue")
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self.__thread.start()
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self.logger.debug('%s thread started', self.__class__.__name__)
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else:
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self.__start_lock.release()
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def _main_loop(self):
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"""
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Thread target of thread ``job_queue``. Runs in background and performs ticks on the job
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queue.
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"""
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while self._running:
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# self._next_peek may be (re)scheduled during self.tick() or self.put()
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with self.__next_peek_lock:
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tmout = self._next_peek and self._next_peek - time.time()
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self._next_peek = None
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self.__tick.clear()
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self.__tick.wait(tmout)
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# If we were woken up by self.stop(), just bail out
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if not self._running:
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break
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self.tick()
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self.logger.debug('%s thread stopped', self.__class__.__name__)
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def stop(self):
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"""
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Stops the thread
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"""
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with self.__start_lock:
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self._running = False
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self.__tick.set()
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if self.__thread is not None:
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self.__thread.join()
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def jobs(self):
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"""Returns a tuple of all jobs that are currently in the ``JobQueue``"""
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return tuple(job[1] for job in self.queue.queue if job)
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class Job(object):
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"""This class encapsulates a Job
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Attributes:
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callback (function):
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interval (float):
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repeat (bool):
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name (str):
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enabled (bool): Boolean property that decides if this job is currently active
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Args:
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callback (function): The callback function that should be executed by the Job. It should
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take two parameters ``bot`` and ``job``, where ``job`` is the ``Job`` instance. It
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can be used to terminate the job or modify its interval.
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interval (float): The interval in which this job should execute its callback function in
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seconds.
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repeat (Optional[bool]): If this job should be periodically execute its callback function
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(``True``) or only once (``False``). Defaults to ``True``
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context (Optional[object]): Additional data needed for the callback function. Can be
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accessed through ``job.context`` in the callback. Defaults to ``None``
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"""
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job_queue = None
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def __init__(self, callback, interval, repeat=True, context=None):
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self.callback = callback
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self.interval = interval
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self.repeat = repeat
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self.context = context
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self.name = callback.__name__
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self._remove = Event()
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self._enabled = Event()
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self._enabled.set()
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def run(self, bot):
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"""Executes the callback function"""
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self.callback(bot, self)
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def schedule_removal(self):
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"""
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Schedules this job for removal from the ``JobQueue``. It will be removed without executing
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its callback function again.
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"""
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self._remove.set()
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def is_enabled(self):
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return self._enabled.is_set()
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def set_enabled(self, status):
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if status:
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self._enabled.set()
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else:
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self._enabled.clear()
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enabled = property(is_enabled, set_enabled)
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def __lt__(self, other):
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return False
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