eaad725508
Add an easy to use helper function that is exposed to fetch a conductor in a way that matches how engines and persistence backends and jobboards are loaded. This also adjusts the single threaded conductor to be now named blocking conductor and exposes an entrypoint backend fetch() function to load current and future conductors. Change-Id: Id146d847c329d3e8510a8f24c3ec8b918680ddb5
176 lines
7.4 KiB
Python
176 lines
7.4 KiB
Python
# -*- coding: utf-8 -*-
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# 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, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import six
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from taskflow.conductors import base
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from taskflow import exceptions as excp
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from taskflow.listeners import logging as logging_listener
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from taskflow import logging
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from taskflow.types import timing as tt
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from taskflow.utils import async_utils
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from taskflow.utils import deprecation
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from taskflow.utils import threading_utils
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LOG = logging.getLogger(__name__)
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WAIT_TIMEOUT = 0.5
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NO_CONSUME_EXCEPTIONS = tuple([
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excp.ExecutionFailure,
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excp.StorageFailure,
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])
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class BlockingConductor(base.Conductor):
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"""A conductor that runs jobs in its own dispatching loop.
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This conductor iterates over jobs in the provided jobboard (waiting for
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the given timeout if no jobs exist) and attempts to claim them, work on
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those jobs in its local thread (blocking further work from being claimed
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and consumed) and then consume those work units after completetion. This
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process will repeat until the conductor has been stopped or other critical
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error occurs.
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NOTE(harlowja): consumption occurs even if a engine fails to run due to
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a task failure. This is only skipped when an execution failure or
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a storage failure occurs which are *usually* correctable by re-running on
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a different conductor (storage failures and execution failures may be
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transient issues that can be worked around by later execution). If a job
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after completing can not be consumed or abandoned the conductor relies
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upon the jobboard capabilities to automatically abandon these jobs.
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"""
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def __init__(self, name, jobboard,
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persistence=None, engine=None,
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engine_options=None, wait_timeout=None):
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super(BlockingConductor, self).__init__(
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name, jobboard, persistence=persistence,
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engine=engine, engine_options=engine_options)
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if wait_timeout is None:
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wait_timeout = WAIT_TIMEOUT
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if isinstance(wait_timeout, (int, float) + six.string_types):
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self._wait_timeout = tt.Timeout(float(wait_timeout))
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elif isinstance(wait_timeout, tt.Timeout):
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self._wait_timeout = wait_timeout
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else:
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raise ValueError("Invalid timeout literal: %s" % (wait_timeout))
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self._dead = threading_utils.Event()
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@deprecation.removed_kwarg('timeout',
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version="0.8", removal_version="?")
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def stop(self, timeout=None):
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"""Requests the conductor to stop dispatching.
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This method can be used to request that a conductor stop its
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consumption & dispatching loop.
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The method returns immediately regardless of whether the conductor has
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been stopped.
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:param timeout: This parameter is **deprecated** and is present for
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backward compatibility **only**. In order to wait for
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the conductor to gracefully shut down, :meth:`wait`
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should be used instead.
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"""
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self._wait_timeout.interrupt()
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@property
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def dispatching(self):
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return not self._dead.is_set()
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def _dispatch_job(self, job):
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engine = self._engine_from_job(job)
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consume = True
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with logging_listener.LoggingListener(engine, log=LOG):
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LOG.debug("Dispatching engine %s for job: %s", engine, job)
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try:
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engine.run()
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except excp.WrappedFailure as e:
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if all((f.check(*NO_CONSUME_EXCEPTIONS) for f in e)):
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consume = False
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if LOG.isEnabledFor(logging.WARNING):
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if consume:
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LOG.warn("Job execution failed (consumption being"
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" skipped): %s [%s failures]", job, len(e))
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else:
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LOG.warn("Job execution failed (consumption"
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" proceeding): %s [%s failures]", job, len(e))
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# Show the failure/s + traceback (if possible)...
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for i, f in enumerate(e):
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LOG.warn("%s. %s", i + 1, f.pformat(traceback=True))
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except NO_CONSUME_EXCEPTIONS:
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LOG.warn("Job execution failed (consumption being"
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" skipped): %s", job, exc_info=True)
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consume = False
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except Exception:
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LOG.warn("Job execution failed (consumption proceeding): %s",
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job, exc_info=True)
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else:
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LOG.info("Job completed successfully: %s", job)
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return async_utils.make_completed_future(consume)
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def run(self):
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self._dead.clear()
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try:
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while True:
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if self._wait_timeout.is_stopped():
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break
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dispatched = 0
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for job in self._jobboard.iterjobs():
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if self._wait_timeout.is_stopped():
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break
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LOG.debug("Trying to claim job: %s", job)
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try:
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self._jobboard.claim(job, self._name)
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except (excp.UnclaimableJob, excp.NotFound):
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LOG.debug("Job already claimed or consumed: %s", job)
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continue
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consume = False
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try:
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f = self._dispatch_job(job)
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except Exception:
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LOG.warn("Job dispatching failed: %s", job,
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exc_info=True)
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else:
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dispatched += 1
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consume = f.result()
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try:
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if consume:
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self._jobboard.consume(job, self._name)
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else:
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self._jobboard.abandon(job, self._name)
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except (excp.JobFailure, excp.NotFound):
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if consume:
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LOG.warn("Failed job consumption: %s", job,
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exc_info=True)
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else:
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LOG.warn("Failed job abandonment: %s", job,
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exc_info=True)
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if dispatched == 0 and not self._wait_timeout.is_stopped():
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self._wait_timeout.wait()
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finally:
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self._dead.set()
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def wait(self, timeout=None):
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"""Waits for the conductor to gracefully exit.
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This method waits for the conductor to gracefully exit. An optional
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timeout can be provided, which will cause the method to return
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within the specified timeout. If the timeout is reached, the returned
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value will be False.
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:param timeout: Maximum number of seconds that the :meth:`wait` method
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should block for.
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"""
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return self._dead.wait(timeout)
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