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163 lines
4.6 KiB
163 lines
4.6 KiB
#
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# Copyright 2025 Splunk Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import queue
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import random
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import threading
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from time import time
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import logging
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class Scheduler:
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"""A simple scheduler which schedules the periodic or once event."""
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import sortedcontainers as sc
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max_delay_time = 60
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def __init__(self):
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self._jobs = Scheduler.sc.SortedSet()
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self._wakeup_q = queue.Queue()
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self._lock = threading.Lock()
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self._thr = threading.Thread(target=self._do_jobs)
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# FIXME: the `daemon` property HAS to be passed in init() call ONLY,
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# the below attribute setting is of incorrect spelling
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self._thr.deamon = True
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self._started = False
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def start(self):
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"""Start the schduler which will start the internal thread for
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scheduling jobs.
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Please do tear_down when doing cleanup
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"""
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if self._started:
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logging.info("Scheduler already started.")
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return
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self._started = True
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self._thr.start()
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def tear_down(self):
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"""Stop the schduler which will stop the internal thread for scheduling
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jobs."""
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if not self._started:
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logging.info("Scheduler already tear down.")
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return
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self._wakeup_q.put(True)
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def _do_jobs(self):
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while 1:
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(sleep_time, jobs) = self.get_ready_jobs()
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self._do_execution(jobs)
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try:
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done = self._wakeup_q.get(timeout=sleep_time)
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except queue.Empty:
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pass
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else:
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if done:
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break
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self._started = False
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logging.info("Scheduler exited.")
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def get_ready_jobs(self):
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"""
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@return: a 2 element tuple. The first element is the next ready
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duration. The second element is ready jobs list
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"""
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now = time()
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ready_jobs = []
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sleep_time = 1
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with self._lock:
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job_set = self._jobs
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total_jobs = len(job_set)
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for job in job_set:
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if job.get_expiration() <= now:
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ready_jobs.append(job)
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if ready_jobs:
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del job_set[: len(ready_jobs)]
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for job in ready_jobs:
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if job.get_interval() != 0 and not job.stopped():
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# repeated job, calculate next due time and enqueue
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job.update_expiration()
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job_set.add(job)
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if job_set:
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sleep_time = job_set[0].get_expiration() - now
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if sleep_time < 0:
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logging.warn("Scheduler satuation, sleep_time=%s", sleep_time)
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sleep_time = 0.1
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if ready_jobs:
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logging.info(
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"Get %d ready jobs, next duration is %f, "
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"and there are %s jobs scheduling",
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len(ready_jobs),
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sleep_time,
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total_jobs,
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)
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ready_jobs.sort(key=lambda job: job.get("priority", 0), reverse=True)
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return (sleep_time, ready_jobs)
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def add_jobs(self, jobs):
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with self._lock:
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now = time()
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job_set = self._jobs
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for job in jobs:
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delay_time = random.randrange(0, self.max_delay_time)
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job.set_initial_due_time(now + delay_time)
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job_set.add(job)
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self._wakeup()
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def update_jobs(self, jobs):
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with self._lock:
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job_set = self._jobs
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for njob in jobs:
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job_set.discard(njob)
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job_set.add(njob)
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self._wakeup()
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def remove_jobs(self, jobs):
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with self._lock:
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job_set = self._jobs
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for njob in jobs:
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njob.stop()
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job_set.discard(njob)
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self._wakeup()
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def number_of_jobs(self):
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with self._lock:
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return len(self._jobs)
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def disable_randomization(self):
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self.max_delay_time = 1
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def _wakeup(self):
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self._wakeup_q.put(None)
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def _do_execution(self, jobs):
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for job in jobs:
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job()
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