Primer commit del proyecto RSS

venv/lib/python3.12/site-packages/apscheduler/executors/asyncio.py

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+import sys
+
+from apscheduler.executors.base import BaseExecutor, run_coroutine_job, run_job
+from apscheduler.util import iscoroutinefunction_partial
+
+
+class AsyncIOExecutor(BaseExecutor):
+    """
+    Runs jobs in the default executor of the event loop.
+
+    If the job function is a native coroutine function, it is scheduled to be run directly in the
+    event loop as soon as possible. All other functions are run in the event loop's default
+    executor which is usually a thread pool.
+
+    Plugin alias: ``asyncio``
+    """
+
+    def start(self, scheduler, alias):
+        super().start(scheduler, alias)
+        self._eventloop = scheduler._eventloop
+        self._pending_futures = set()
+
+    def shutdown(self, wait=True):
+        # There is no way to honor wait=True without converting this method into a coroutine method
+        for f in self._pending_futures:
+            if not f.done():
+                f.cancel()
+
+        self._pending_futures.clear()
+
+    def _do_submit_job(self, job, run_times):
+        def callback(f):
+            self._pending_futures.discard(f)
+            try:
+                events = f.result()
+            except BaseException:
+                self._run_job_error(job.id, *sys.exc_info()[1:])
+            else:
+                self._run_job_success(job.id, events)
+
+        if iscoroutinefunction_partial(job.func):
+            coro = run_coroutine_job(
+                job, job._jobstore_alias, run_times, self._logger.name
+            )
+            f = self._eventloop.create_task(coro)
+        else:
+            f = self._eventloop.run_in_executor(
+                None, run_job, job, job._jobstore_alias, run_times, self._logger.name
+            )
+
+        f.add_done_callback(callback)
+        self._pending_futures.add(f)

venv/lib/python3.12/site-packages/apscheduler/executors/base.py

@@ -0,0 +1,205 @@
+import logging
+import sys
+import traceback
+from abc import ABCMeta, abstractmethod
+from collections import defaultdict
+from datetime import datetime, timedelta, timezone
+from traceback import format_tb
+
+from apscheduler.events import (
+    EVENT_JOB_ERROR,
+    EVENT_JOB_EXECUTED,
+    EVENT_JOB_MISSED,
+    JobExecutionEvent,
+)
+
+
+class MaxInstancesReachedError(Exception):
+    def __init__(self, job):
+        super().__init__(
+            'Job "%s" has already reached its maximum number of instances (%d)'
+            % (job.id, job.max_instances)
+        )
+
+
+class BaseExecutor(metaclass=ABCMeta):
+    """Abstract base class that defines the interface that every executor must implement."""
+
+    _scheduler = None
+    _lock = None
+    _logger = logging.getLogger("apscheduler.executors")
+
+    def __init__(self):
+        super().__init__()
+        self._instances = defaultdict(lambda: 0)
+
+    def start(self, scheduler, alias):
+        """
+        Called by the scheduler when the scheduler is being started or when the executor is being
+        added to an already running scheduler.
+
+        :param apscheduler.schedulers.base.BaseScheduler scheduler: the scheduler that is starting
+            this executor
+        :param str|unicode alias: alias of this executor as it was assigned to the scheduler
+
+        """
+        self._scheduler = scheduler
+        self._lock = scheduler._create_lock()
+        self._logger = logging.getLogger(f"apscheduler.executors.{alias}")
+
+    def shutdown(self, wait=True):
+        """
+        Shuts down this executor.
+
+        :param bool wait: ``True`` to wait until all submitted jobs
+            have been executed
+        """
+
+    def submit_job(self, job, run_times):
+        """
+        Submits job for execution.
+
+        :param Job job: job to execute
+        :param list[datetime] run_times: list of datetimes specifying
+            when the job should have been run
+        :raises MaxInstancesReachedError: if the maximum number of
+            allowed instances for this job has been reached
+
+        """
+        assert self._lock is not None, "This executor has not been started yet"
+        with self._lock:
+            if self._instances[job.id] >= job.max_instances:
+                raise MaxInstancesReachedError(job)
+
+            self._do_submit_job(job, run_times)
+            self._instances[job.id] += 1
+
+    @abstractmethod
+    def _do_submit_job(self, job, run_times):
+        """Performs the actual task of scheduling `run_job` to be called."""
+
+    def _run_job_success(self, job_id, events):
+        """
+        Called by the executor with the list of generated events when :func:`run_job` has been
+        successfully called.
+
+        """
+        with self._lock:
+            self._instances[job_id] -= 1
+            if self._instances[job_id] == 0:
+                del self._instances[job_id]
+
+        for event in events:
+            self._scheduler._dispatch_event(event)
+
+    def _run_job_error(self, job_id, exc, traceback=None):
+        """Called by the executor with the exception if there is an error  calling `run_job`."""
+        with self._lock:
+            self._instances[job_id] -= 1
+            if self._instances[job_id] == 0:
+                del self._instances[job_id]
+
+        exc_info = (exc.__class__, exc, traceback)
+        self._logger.error("Error running job %s", job_id, exc_info=exc_info)
+
+
+def run_job(job, jobstore_alias, run_times, logger_name):
+    """
+    Called by executors to run the job. Returns a list of scheduler events to be dispatched by the
+    scheduler.
+
+    """
+    events = []
+    logger = logging.getLogger(logger_name)
+    for run_time in run_times:
+        # See if the job missed its run time window, and handle
+        # possible misfires accordingly
+        if job.misfire_grace_time is not None:
+            difference = datetime.now(timezone.utc) - run_time
+            grace_time = timedelta(seconds=job.misfire_grace_time)
+            if difference > grace_time:
+                events.append(
+                    JobExecutionEvent(
+                        EVENT_JOB_MISSED, job.id, jobstore_alias, run_time
+                    )
+                )
+                logger.warning('Run time of job "%s" was missed by %s', job, difference)
+                continue
+
+        logger.info('Running job "%s" (scheduled at %s)', job, run_time)
+        try:
+            retval = job.func(*job.args, **job.kwargs)
+        except BaseException:
+            exc, tb = sys.exc_info()[1:]
+            formatted_tb = "".join(format_tb(tb))
+            events.append(
+                JobExecutionEvent(
+                    EVENT_JOB_ERROR,
+                    job.id,
+                    jobstore_alias,
+                    run_time,
+                    exception=exc,
+                    traceback=formatted_tb,
+                )
+            )
+            logger.exception('Job "%s" raised an exception', job)
+
+            # This is to prevent cyclic references that would lead to memory leaks
+            traceback.clear_frames(tb)
+            del tb
+        else:
+            events.append(
+                JobExecutionEvent(
+                    EVENT_JOB_EXECUTED, job.id, jobstore_alias, run_time, retval=retval
+                )
+            )
+            logger.info('Job "%s" executed successfully', job)
+
+    return events
+
+
+async def run_coroutine_job(job, jobstore_alias, run_times, logger_name):
+    """Coroutine version of run_job()."""
+    events = []
+    logger = logging.getLogger(logger_name)
+    for run_time in run_times:
+        # See if the job missed its run time window, and handle possible misfires accordingly
+        if job.misfire_grace_time is not None:
+            difference = datetime.now(timezone.utc) - run_time
+            grace_time = timedelta(seconds=job.misfire_grace_time)
+            if difference > grace_time:
+                events.append(
+                    JobExecutionEvent(
+                        EVENT_JOB_MISSED, job.id, jobstore_alias, run_time
+                    )
+                )
+                logger.warning('Run time of job "%s" was missed by %s', job, difference)
+                continue
+
+        logger.info('Running job "%s" (scheduled at %s)', job, run_time)
+        try:
+            retval = await job.func(*job.args, **job.kwargs)
+        except BaseException:
+            exc, tb = sys.exc_info()[1:]
+            formatted_tb = "".join(format_tb(tb))
+            events.append(
+                JobExecutionEvent(
+                    EVENT_JOB_ERROR,
+                    job.id,
+                    jobstore_alias,
+                    run_time,
+                    exception=exc,
+                    traceback=formatted_tb,
+                )
+            )
+            logger.exception('Job "%s" raised an exception', job)
+            traceback.clear_frames(tb)
+        else:
+            events.append(
+                JobExecutionEvent(
+                    EVENT_JOB_EXECUTED, job.id, jobstore_alias, run_time, retval=retval
+                )
+            )
+            logger.info('Job "%s" executed successfully', job)
+
+    return events

venv/lib/python3.12/site-packages/apscheduler/executors/debug.py

@@ -0,0 +1,20 @@
+import sys
+
+from apscheduler.executors.base import BaseExecutor, run_job
+
+
+class DebugExecutor(BaseExecutor):
+    """
+    A special executor that executes the target callable directly instead of deferring it to a
+    thread or process.
+
+    Plugin alias: ``debug``
+    """
+
+    def _do_submit_job(self, job, run_times):
+        try:
+            events = run_job(job, job._jobstore_alias, run_times, self._logger.name)
+        except BaseException:
+            self._run_job_error(job.id, *sys.exc_info()[1:])
+        else:
+            self._run_job_success(job.id, events)

venv/lib/python3.12/site-packages/apscheduler/executors/gevent.py

@@ -0,0 +1,29 @@
+import sys
+
+from apscheduler.executors.base import BaseExecutor, run_job
+
+try:
+    import gevent
+except ImportError as exc:  # pragma: nocover
+    raise ImportError("GeventExecutor requires gevent installed") from exc
+
+
+class GeventExecutor(BaseExecutor):
+    """
+    Runs jobs as greenlets.
+
+    Plugin alias: ``gevent``
+    """
+
+    def _do_submit_job(self, job, run_times):
+        def callback(greenlet):
+            try:
+                events = greenlet.get()
+            except BaseException:
+                self._run_job_error(job.id, *sys.exc_info()[1:])
+            else:
+                self._run_job_success(job.id, events)
+
+        gevent.spawn(
+            run_job, job, job._jobstore_alias, run_times, self._logger.name
+        ).link(callback)

venv/lib/python3.12/site-packages/apscheduler/executors/pool.py

@@ -0,0 +1,82 @@
+import concurrent.futures
+import multiprocessing
+from abc import abstractmethod
+from concurrent.futures.process import BrokenProcessPool
+
+from apscheduler.executors.base import BaseExecutor, run_job
+
+
+class BasePoolExecutor(BaseExecutor):
+    @abstractmethod
+    def __init__(self, pool):
+        super().__init__()
+        self._pool = pool
+
+    def _do_submit_job(self, job, run_times):
+        def callback(f):
+            exc, tb = (
+                f.exception_info()
+                if hasattr(f, "exception_info")
+                else (f.exception(), getattr(f.exception(), "__traceback__", None))
+            )
+            if exc:
+                self._run_job_error(job.id, exc, tb)
+            else:
+                self._run_job_success(job.id, f.result())
+
+        f = self._pool.submit(
+            run_job, job, job._jobstore_alias, run_times, self._logger.name
+        )
+        f.add_done_callback(callback)
+
+    def shutdown(self, wait=True):
+        self._pool.shutdown(wait)
+
+
+class ThreadPoolExecutor(BasePoolExecutor):
+    """
+    An executor that runs jobs in a concurrent.futures thread pool.
+
+    Plugin alias: ``threadpool``
+
+    :param max_workers: the maximum number of spawned threads.
+    :param pool_kwargs: dict of keyword arguments to pass to the underlying
+        ThreadPoolExecutor constructor
+    """
+
+    def __init__(self, max_workers=10, pool_kwargs=None):
+        pool_kwargs = pool_kwargs or {}
+        pool = concurrent.futures.ThreadPoolExecutor(int(max_workers), **pool_kwargs)
+        super().__init__(pool)
+
+
+class ProcessPoolExecutor(BasePoolExecutor):
+    """
+    An executor that runs jobs in a concurrent.futures process pool.
+
+    Plugin alias: ``processpool``
+
+    :param max_workers: the maximum number of spawned processes.
+    :param pool_kwargs: dict of keyword arguments to pass to the underlying
+        ProcessPoolExecutor constructor
+    """
+
+    def __init__(self, max_workers=10, pool_kwargs=None):
+        self.pool_kwargs = pool_kwargs or {}
+        self.pool_kwargs.setdefault("mp_context", multiprocessing.get_context("spawn"))
+        pool = concurrent.futures.ProcessPoolExecutor(
+            int(max_workers), **self.pool_kwargs
+        )
+        super().__init__(pool)
+
+    def _do_submit_job(self, job, run_times):
+        try:
+            super()._do_submit_job(job, run_times)
+        except BrokenProcessPool:
+            self._logger.warning(
+                "Process pool is broken; replacing pool with a fresh instance"
+            )
+            self._pool = self._pool.__class__(
+                self._pool._max_workers, **self.pool_kwargs
+            )
+            super()._do_submit_job(job, run_times)

venv/lib/python3.12/site-packages/apscheduler/executors/tornado.py

@@ -0,0 +1,49 @@
+import sys
+from concurrent.futures import ThreadPoolExecutor
+
+from tornado.gen import convert_yielded
+
+from apscheduler.executors.base import BaseExecutor, run_coroutine_job, run_job
+from apscheduler.util import iscoroutinefunction_partial
+
+
+class TornadoExecutor(BaseExecutor):
+    """
+    Runs jobs either in a thread pool or directly on the I/O loop.
+
+    If the job function is a native coroutine function, it is scheduled to be run directly in the
+    I/O loop as soon as possible. All other functions are run in a thread pool.
+
+    Plugin alias: ``tornado``
+
+    :param int max_workers: maximum number of worker threads in the thread pool
+    """
+
+    def __init__(self, max_workers=10):
+        super().__init__()
+        self.executor = ThreadPoolExecutor(max_workers)
+
+    def start(self, scheduler, alias):
+        super().start(scheduler, alias)
+        self._ioloop = scheduler._ioloop
+
+    def _do_submit_job(self, job, run_times):
+        def callback(f):
+            try:
+                events = f.result()
+            except BaseException:
+                self._run_job_error(job.id, *sys.exc_info()[1:])
+            else:
+                self._run_job_success(job.id, events)
+
+        if iscoroutinefunction_partial(job.func):
+            f = run_coroutine_job(
+                job, job._jobstore_alias, run_times, self._logger.name
+            )
+        else:
+            f = self.executor.submit(
+                run_job, job, job._jobstore_alias, run_times, self._logger.name
+            )
+
+        f = convert_yielded(f)
+        f.add_done_callback(callback)

venv/lib/python3.12/site-packages/apscheduler/executors/twisted.py

@@ -0,0 +1,24 @@
+from apscheduler.executors.base import BaseExecutor, run_job
+
+
+class TwistedExecutor(BaseExecutor):
+    """
+    Runs jobs in the reactor's thread pool.
+
+    Plugin alias: ``twisted``
+    """
+
+    def start(self, scheduler, alias):
+        super().start(scheduler, alias)
+        self._reactor = scheduler._reactor
+
+    def _do_submit_job(self, job, run_times):
+        def callback(success, result):
+            if success:
+                self._run_job_success(job.id, result)
+            else:
+                self._run_job_error(job.id, result.value, result.tb)
+
+        self._reactor.getThreadPool().callInThreadWithCallback(
+            callback, run_job, job, job._jobstore_alias, run_times, self._logger.name
+        )