45ac6d03b1
Add option to enable osprofiler to measure performance of workflow execution. Change-Id: I98e66e3f721c134370848dc2b65fb37c49b0e8ee Implements: blueprint mistral-osprofiler
226 lines
7.4 KiB
Python
226 lines
7.4 KiB
Python
# Copyright 2014 - Mirantis, Inc.
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# Copyright 2015 - StackStorm, Inc.
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# Copyright 2016 - Brocade Communications Systems, 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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import copy
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import datetime
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from oslo_config import cfg
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from oslo_log import log as logging
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from oslo_service import periodic_task
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from oslo_service import threadgroup
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from oslo_utils import importutils
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from mistral import context
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from mistral.db.v2 import api as db_api
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from mistral import exceptions as exc
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LOG = logging.getLogger(__name__)
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CONF = cfg.CONF
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# {scheduler_instance: thread_group}
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_schedulers = {}
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def schedule_call(factory_method_path, target_method_name,
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run_after, serializers=None, **method_args):
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"""Schedules call and lately invokes target_method.
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Add this call specification to DB, and then after run_after
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seconds service CallScheduler invokes the target_method.
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:param factory_method_path: Full python-specific path to
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factory method for target object construction.
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:param target_method_name: Name of target object method which
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will be invoked.
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:param run_after: Value in seconds.
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param serializers: map of argument names and their serializer class paths.
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Use when an argument is an object of specific type, and needs to be
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serialized. Example:
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{ "result": "mistral.utils.serializer.ResultSerializer"}
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Serializer for the object type must implement serializer interface
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in mistral/utils/serializer.py
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:param method_args: Target method keyword arguments.
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"""
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ctx_serializer = context.RpcContextSerializer(
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context.JsonPayloadSerializer()
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)
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ctx = (
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ctx_serializer.serialize_context(context.ctx())
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if context.has_ctx() else {}
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)
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execution_time = (datetime.datetime.now() +
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datetime.timedelta(seconds=run_after))
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if serializers:
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for arg_name, serializer_path in serializers.items():
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if arg_name not in method_args:
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raise exc.MistralException(
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"Serializable method argument %s"
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" not found in method_args=%s"
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% (arg_name, method_args))
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try:
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serializer = importutils.import_class(serializer_path)()
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except ImportError as e:
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raise ImportError("Cannot import class %s: %s"
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% (serializer_path, e))
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method_args[arg_name] = serializer.serialize(
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method_args[arg_name]
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)
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values = {
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'factory_method_path': factory_method_path,
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'target_method_name': target_method_name,
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'execution_time': execution_time,
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'auth_context': ctx,
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'serializers': serializers,
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'method_arguments': method_args,
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'processing': False
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}
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db_api.create_delayed_call(values)
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class CallScheduler(periodic_task.PeriodicTasks):
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# TODO(rakhmerov): Think how to make 'spacing' configurable.
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@periodic_task.periodic_task(spacing=1, run_immediately=True)
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def run_delayed_calls(self, ctx=None):
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time_filter = datetime.datetime.now() + datetime.timedelta(
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seconds=1)
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# Wrap delayed calls processing in transaction to
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# guarantee that calls will be processed just once.
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# Do delete query to DB first to force hanging up all
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# parallel transactions.
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# It should work on isolation level 'READ-COMMITTED',
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# 'REPEATABLE-READ' and above.
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#
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# 'REPEATABLE-READ' is by default in MySQL and
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# 'READ-COMMITTED is by default in PostgreSQL.
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delayed_calls = []
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with db_api.transaction():
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candidate_calls = db_api.get_delayed_calls_to_start(
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time_filter
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)
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calls_to_make = []
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for call in candidate_calls:
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# Mark this delayed call has been processed in order to
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# prevent calling from parallel transaction.
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result, number_of_updated = db_api.update_delayed_call(
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id=call.id,
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values={'processing': True},
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query_filter={"processing": False}
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)
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# If number_of_updated != 1 other scheduler already
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# updated.
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if number_of_updated == 1:
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calls_to_make.append(result)
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for call in calls_to_make:
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LOG.debug('Processing next delayed call: %s', call)
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target_auth_context = copy.deepcopy(call.auth_context)
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if call.factory_method_path:
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factory = importutils.import_class(
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call.factory_method_path
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)
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target_method = getattr(factory(), call.target_method_name)
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else:
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target_method = importutils.import_class(
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call.target_method_name
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)
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method_args = copy.deepcopy(call.method_arguments)
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if call.serializers:
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# Deserialize arguments.
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for arg_name, ser_path in call.serializers.items():
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serializer = importutils.import_class(ser_path)()
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deserialized = serializer.deserialize(
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method_args[arg_name]
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)
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method_args[arg_name] = deserialized
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delayed_calls.append(
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(target_auth_context, target_method, method_args)
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)
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ctx_serializer = context.RpcContextSerializer(
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context.JsonPayloadSerializer()
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)
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for (target_auth_context, target_method, method_args) in delayed_calls:
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try:
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# Set the correct context for the method.
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ctx_serializer.deserialize_context(target_auth_context)
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# Call the method.
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target_method(**method_args)
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except Exception as e:
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LOG.exception(
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"Delayed call failed, method: %s, exception: %s",
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target_method,
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e
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)
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finally:
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# Remove context.
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context.set_ctx(None)
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with db_api.transaction():
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for call in calls_to_make:
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try:
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# Delete calls that were processed.
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db_api.delete_delayed_call(call.id)
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except Exception as e:
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LOG.error(
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"failed to delete call [call=%s, "
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"exception=%s]", call, e
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)
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def setup():
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tg = threadgroup.ThreadGroup()
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scheduler = CallScheduler(CONF)
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tg.add_dynamic_timer(
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scheduler.run_periodic_tasks,
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initial_delay=None,
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periodic_interval_max=1,
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context=None
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)
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_schedulers[scheduler] = tg
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return tg
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def stop_all_schedulers():
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for scheduler, tg in _schedulers.items():
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tg.stop()
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del _schedulers[scheduler]
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