It can be quite nice to expose a basic set of metrics about the internals of an engine, including the time in each state, and how long the engine is active for and likely more in the future. To start add a engine statistics property and gather some basic timing data and place this data into this property for access (and/or introspection) by users. Part of blueprint gather-engine-statistics Change-Id: Ibc3c78755bd8ae779b52fc4772519f243a521576
159 lines
5.7 KiB
Python
159 lines
5.7 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (C) 2013 Yahoo! Inc. All Rights Reserved.
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#
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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 abc
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from debtcollector import moves
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import six
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from taskflow.types import notifier
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from taskflow.utils import misc
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@six.add_metaclass(abc.ABCMeta)
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class Engine(object):
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"""Base for all engines implementations.
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:ivar notifier: A notification object that will dispatch events that
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occur related to the flow the engine contains.
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:ivar task_notifier: A notification object that will dispatch events that
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occur related to the tasks the engine contains.
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occur related to the tasks the engine
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contains (deprecated).
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:ivar atom_notifier: A notification object that will dispatch events that
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occur related to the atoms the engine contains.
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"""
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def __init__(self, flow, flow_detail, backend, options):
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self._flow = flow
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self._flow_detail = flow_detail
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self._backend = backend
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self._options = misc.safe_copy_dict(options)
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self._notifier = notifier.Notifier()
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self._atom_notifier = notifier.Notifier()
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@property
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def notifier(self):
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"""The flow notifier."""
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return self._notifier
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@property
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@moves.moved_property('atom_notifier', version="0.6",
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removal_version="2.0")
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def task_notifier(self):
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"""The task notifier.
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.. deprecated:: 0.6
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The property is **deprecated** and is present for
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backward compatibility **only**. In order to access this
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property going forward the :py:attr:`.atom_notifier` should
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be used instead.
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"""
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return self._atom_notifier
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@property
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def atom_notifier(self):
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"""The atom notifier."""
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return self._atom_notifier
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@property
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def options(self):
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"""The options that were passed to this engine on construction."""
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return self._options
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@abc.abstractproperty
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def storage(self):
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"""The storage unit for this engine."""
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@abc.abstractproperty
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def statistics(self):
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"""A dictionary of runtime statistics this engine has gathered.
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This dictionary will be empty when the engine has never been
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ran. When it is running or has ran previously it should have (but
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may not) have useful and/or informational keys and values when
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running is underway and/or completed.
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.. warning:: The keys in this dictionary **should** be some what
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stable (not changing), but there existence **may**
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change between major releases as new statistics are
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gathered or removed so before accessing keys ensure that
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they actually exist and handle when they do not.
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"""
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@abc.abstractmethod
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def compile(self):
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"""Compiles the contained flow into a internal representation.
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This internal representation is what the engine will *actually* use to
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run. If this compilation can not be accomplished then an exception
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is expected to be thrown with a message indicating why the compilation
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could not be achieved.
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"""
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@abc.abstractmethod
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def reset(self):
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"""Reset back to the ``PENDING`` state.
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If a flow had previously ended up (from a prior engine
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:py:func:`.run`) in the ``FAILURE``, ``SUCCESS`` or ``REVERTED``
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states (or for some reason it ended up in an intermediary state) it
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can be desireable to make it possible to run it again. Calling this
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method enables that to occur (without causing a state transition
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failure, which would typically occur if :py:meth:`.run` is called
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directly without doing a reset).
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"""
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@abc.abstractmethod
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def prepare(self):
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"""Performs any pre-run, but post-compilation actions.
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NOTE(harlowja): During preparation it is currently assumed that the
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underlying storage will be initialized, the atoms will be reset and
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the engine will enter the ``PENDING`` state.
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"""
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@abc.abstractmethod
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def validate(self):
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"""Performs any pre-run, post-prepare validation actions.
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NOTE(harlowja): During validation all final dependencies
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will be verified and ensured. This will by default check that all
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atoms have satisfiable requirements (satisfied by some other
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provider).
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"""
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@abc.abstractmethod
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def run(self):
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"""Runs the flow in the engine to completion (or die trying)."""
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@abc.abstractmethod
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def suspend(self):
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"""Attempts to suspend the engine.
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If the engine is currently running atoms then this will attempt to
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suspend future work from being started (currently active atoms can
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not currently be preempted) and move the engine into a suspend state
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which can then later be resumed from.
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"""
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# TODO(harlowja): remove in 0.7 or later...
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EngineBase = moves.moved_class(Engine, 'EngineBase', __name__,
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version="0.6", removal_version="2.0")
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