725 lines
22 KiB
Python
725 lines
22 KiB
Python
# Copyright 2016 - Nokia Networks.
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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 abc
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import copy
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from oslo_log import log as logging
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from osprofiler import profiler
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import six
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from mistral.db.v2 import api as db_api
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from mistral.engine import actions
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from mistral.engine import dispatcher
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from mistral.engine import policies
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from mistral import exceptions as exc
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from mistral import expressions as expr
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from mistral import utils
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from mistral.utils import wf_trace
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from mistral.workflow import base as wf_base
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from mistral.workflow import data_flow
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from mistral.workflow import states
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LOG = logging.getLogger(__name__)
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@six.add_metaclass(abc.ABCMeta)
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class Task(object):
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"""Task.
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Represents a workflow task and defines interface that can be used by
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Mistral engine or its components in order to manipulate with tasks.
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"""
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def __init__(self, wf_ex, wf_spec, task_spec, ctx, task_ex=None,
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unique_key=None, waiting=False):
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self.wf_ex = wf_ex
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self.task_spec = task_spec
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self.ctx = ctx
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self.task_ex = task_ex
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self.wf_spec = wf_spec
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self.unique_key = unique_key
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self.waiting = waiting
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self.reset_flag = False
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self.created = False
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self.state_changed = False
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def is_completed(self):
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return self.task_ex and states.is_completed(self.task_ex.state)
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def is_waiting(self):
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return self.waiting
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def is_created(self):
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return self.created
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def is_state_changed(self):
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return self.state_changed
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@abc.abstractmethod
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def on_action_complete(self, action_ex):
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"""Handle action completion.
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:param action_ex: Action execution.
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"""
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raise NotImplementedError
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@abc.abstractmethod
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def run(self):
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"""Runs task."""
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raise NotImplementedError
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@profiler.trace('task-defer')
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def defer(self):
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"""Defers task.
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This method puts task to a waiting state.
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"""
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with db_api.named_lock(self.unique_key):
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if not self.task_ex:
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t_execs = db_api.get_task_executions(
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workflow_execution_id=self.wf_ex.id,
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unique_key=self.unique_key
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)
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self.task_ex = t_execs[0] if t_execs else None
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msg = 'Task is waiting.'
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if not self.task_ex:
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self._create_task_execution(
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state=states.WAITING,
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state_info=msg
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)
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elif self.task_ex.state != states.WAITING:
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self.set_state(states.WAITING, msg)
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def reset(self):
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self.reset_flag = True
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@profiler.trace('task-set-state')
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def set_state(self, state, state_info, processed=None):
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"""Sets task state without executing post completion logic.
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:param state: New task state.
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:param state_info: New state information (i.e. error message).
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:param processed: New "processed" flag value.
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"""
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assert self.task_ex
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if (self.task_ex.state != state or
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self.task_ex.state_info != state_info):
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wf_trace.info(
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self.task_ex.workflow_execution,
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"Task '%s' (%s) [%s -> %s, msg=%s]" %
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(self.task_ex.name,
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self.task_ex.id,
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self.task_ex.state,
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state,
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state_info)
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)
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self.state_changed = True
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self.task_ex.state = state
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self.task_ex.state_info = state_info
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if processed is not None:
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self.task_ex.processed = processed
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@profiler.trace('task-complete')
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def complete(self, state, state_info=None):
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"""Complete task and set specified state.
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Method sets specified task state and runs all necessary post
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completion logic such as publishing workflow variables and
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scheduling new workflow commands.
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:param state: New task state.
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:param state_info: New state information (i.e. error message).
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"""
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assert self.task_ex
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# Ignore if task already completed.
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if states.is_completed(self.task_ex.state):
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return
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self.set_state(state, state_info)
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data_flow.publish_variables(self.task_ex, self.task_spec)
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if not self.task_spec.get_keep_result():
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# Destroy task result.
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for ex in self.task_ex.action_executions:
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if hasattr(ex, 'output'):
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ex.output = {}
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self._after_task_complete()
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# Ignore DELAYED state.
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if self.task_ex.state == states.RUNNING_DELAYED:
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return
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# If workflow is paused we shouldn't schedule new commands
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# and mark task as processed.
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if states.is_paused(self.wf_ex.state):
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return
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wf_ctrl = wf_base.get_controller(self.wf_ex, self.wf_spec)
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# Calculate commands to process next.
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cmds = wf_ctrl.continue_workflow(task_ex=self.task_ex)
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# Mark task as processed after all decisions have been made
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# upon its completion.
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self.task_ex.processed = True
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dispatcher.dispatch_workflow_commands(self.wf_ex, cmds)
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def _before_task_start(self):
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policies_spec = self.task_spec.get_policies()
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for p in policies.build_policies(policies_spec, self.wf_spec):
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p.before_task_start(self.task_ex, self.task_spec)
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def _after_task_complete(self):
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policies_spec = self.task_spec.get_policies()
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for p in policies.build_policies(policies_spec, self.wf_spec):
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p.after_task_complete(self.task_ex, self.task_spec)
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@profiler.trace('task-create-task-execution')
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def _create_task_execution(self, state=states.RUNNING, state_info=None):
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task_id = utils.generate_unicode_uuid()
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task_name = self.task_spec.get_name()
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task_type = self.task_spec.get_type()
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data_flow.add_current_task_to_context(self.ctx, task_id, task_name)
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values = {
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'id': task_id,
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'name': task_name,
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'workflow_execution_id': self.wf_ex.id,
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'workflow_name': self.wf_ex.workflow_name,
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'workflow_id': self.wf_ex.workflow_id,
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'state': state,
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'state_info': state_info,
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'spec': self.task_spec.to_dict(),
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'unique_key': self.unique_key,
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'in_context': self.ctx,
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'published': {},
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'runtime_context': {},
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'project_id': self.wf_ex.project_id,
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'type': task_type
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}
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self.task_ex = db_api.create_task_execution(values)
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# Add to collection explicitly so that it's in a proper
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# state within the current session.
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self.wf_ex.task_executions.append(self.task_ex)
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self.created = True
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def _get_action_defaults(self):
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action_name = self.task_spec.get_action_name()
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if not action_name:
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return {}
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env = self.wf_ex.context.get('__env', {})
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return env.get('__actions', {}).get(action_name, {})
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class RegularTask(Task):
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"""Regular task.
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Takes care of processing regular tasks with one action.
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"""
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@profiler.trace('regular-task-on-action-complete', hide_args=True)
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def on_action_complete(self, action_ex):
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state = action_ex.state
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# TODO(rakhmerov): Here we can define more informative messages
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# cases when action is successful and when it's not. For example,
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# in state_info we can specify the cause action.
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state_info = (None if state == states.SUCCESS
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else action_ex.output.get('result'))
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self.complete(state, state_info)
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@profiler.trace('task-run')
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def run(self):
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if not self.task_ex:
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self._run_new()
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else:
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self._run_existing()
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@profiler.trace('task-run-new')
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def _run_new(self):
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if self.waiting:
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self.defer()
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return
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self._create_task_execution()
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LOG.debug(
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'Starting task [workflow=%s, task_spec=%s, init_state=%s]' %
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(self.wf_ex.name, self.task_spec, self.task_ex.state)
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)
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self._before_task_start()
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# Policies could possibly change task state.
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if self.task_ex.state != states.RUNNING:
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return
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self._schedule_actions()
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@profiler.trace('task-run-existing')
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def _run_existing(self):
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if self.waiting:
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return
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# Explicitly change task state to RUNNING.
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# Throw exception if the existing task already succeeded.
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if self.task_ex.state == states.SUCCESS:
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raise exc.MistralError(
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'Rerunning succeeded tasks is not supported.'
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)
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self.set_state(states.RUNNING, None, processed=False)
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self._update_inbound_context()
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self._reset_actions()
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self._schedule_actions()
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def _update_inbound_context(self):
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assert self.task_ex
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wf_ctrl = wf_base.get_controller(self.wf_ex, self.wf_spec)
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self.ctx = wf_ctrl.get_task_inbound_context(self.task_spec)
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utils.update_dict(self.task_ex.in_context, self.ctx)
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def _reset_actions(self):
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"""Resets task state.
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Depending on task type this method may reset task state. For example,
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delete all task actions etc.
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"""
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# Reset state of processed task and related action executions.
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if self.reset_flag:
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execs = self.task_ex.executions
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else:
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execs = [e for e in self.task_ex.executions if
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(e.accepted and
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e.state in [states.ERROR, states.CANCELLED])]
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for ex in execs:
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ex.accepted = False
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def _schedule_actions(self):
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# Regular task schedules just one action.
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input_dict = self._get_action_input()
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target = self._get_target(input_dict)
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action = self._build_action()
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action.validate_input(input_dict)
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action.schedule(
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input_dict,
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target,
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safe_rerun=self.task_spec.get_safe_rerun()
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)
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@profiler.trace('regular-task-get-target', hide_args=True)
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def _get_target(self, input_dict):
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ctx_view = data_flow.ContextView(
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input_dict,
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self.ctx,
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self.wf_ex.context,
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self.wf_ex.input
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)
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return expr.evaluate_recursively(
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self.task_spec.get_target(),
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ctx_view
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)
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@profiler.trace('regular-task-get-action-input', hide_args=True)
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def _get_action_input(self, ctx=None):
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ctx = ctx or self.ctx
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ctx_view = data_flow.ContextView(
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ctx,
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self.wf_ex.context,
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self.wf_ex.input
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)
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input_dict = expr.evaluate_recursively(
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self.task_spec.get_input(),
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ctx_view
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)
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return utils.merge_dicts(
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input_dict,
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self._get_action_defaults(),
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overwrite=False
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)
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def _build_action(self):
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action_name = self.task_spec.get_action_name()
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wf_name = self.task_spec.get_workflow_name()
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if wf_name:
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return actions.WorkflowAction(wf_name, task_ex=self.task_ex)
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if not action_name:
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action_name = 'std.noop'
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action_def = actions.resolve_action_definition(
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action_name,
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self.wf_ex.name,
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self.wf_spec.get_name()
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)
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if action_def.spec:
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return actions.AdHocAction(action_def, task_ex=self.task_ex)
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return actions.PythonAction(action_def, task_ex=self.task_ex)
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class WithItemsTask(RegularTask):
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"""With-items task.
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Takes care of processing "with-items" tasks.
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"""
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_CONCURRENCY = 'concurrency'
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_CAPACITY = 'capacity'
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_COUNT = 'count'
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_WITH_ITEMS = 'with_items'
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_DEFAULT_WITH_ITEMS = {
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_COUNT: 0,
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_CONCURRENCY: 0,
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_CAPACITY: 0
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}
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@profiler.trace('with-items-task-on-action-complete', hide_args=True)
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def on_action_complete(self, action_ex):
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assert self.task_ex
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if (not self._get_concurrency() and
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not self.task_spec.get_policies().get_retry()):
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self._on_action_complete(action_ex)
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else:
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# If we need to control 'concurrency' we need to do atomic
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# reads/writes to task runtime context. Locking prevents us
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# from modifying runtime context simultaneously by multiple
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# transactions.
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with db_api.named_lock('with-items-%s' % self.task_ex.id):
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# NOTE: We need to refresh task execution object right
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# after the lock is acquired to make sure that we're
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# working with a fresh state of its runtime context.
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# Otherwise, SQLAlchemy session can contain a stale
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# cached version of it so that we don't modify actual
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# values (i.e. capacity).
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db_api.refresh(self.task_ex)
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self._on_action_complete(action_ex)
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def _on_action_complete(self, action_ex):
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if self.is_completed():
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return
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self._increase_capacity()
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if self.is_with_items_completed():
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state = self._get_final_state()
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# TODO(rakhmerov): Here we can define more informative messages
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# in cases when action is successful and when it's not.
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# For example, in state_info we can specify the cause action.
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# The use of action_ex.output.get('result') for state_info is not
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# accurate because there could be action executions that had
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# failed or was cancelled prior to this action execution.
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state_info = {
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states.SUCCESS: None,
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states.ERROR: 'One or more actions had failed.',
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states.CANCELLED: 'One or more actions was cancelled.'
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}
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self.complete(state, state_info[state])
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return
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if self._has_more_iterations() and self._get_concurrency():
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self._schedule_actions()
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def _schedule_actions(self):
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with_items_values = self._get_with_items_values()
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if self._is_new():
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self._validate_values(with_items_values)
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action_count = len(six.next(iter(with_items_values.values())))
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self._prepare_runtime_context(action_count)
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input_dicts = self._get_input_dicts(with_items_values)
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if not input_dicts:
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self.complete(states.SUCCESS)
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return
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for i, input_dict in input_dicts:
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target = self._get_target(input_dict)
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action = self._build_action()
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action.validate_input(input_dict)
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action.schedule(
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input_dict,
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target,
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index=i,
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safe_rerun=self.task_spec.get_safe_rerun()
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)
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self._decrease_capacity(1)
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def _get_with_items_values(self):
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"""Returns all values evaluated from 'with-items' expression.
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Example:
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DSL:
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with-items:
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- var1 in <% $.arrayI %>
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- var2 in <% $.arrayJ %>
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where arrayI = [1,2,3] and arrayJ = [a,b,c]
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The result of the method in this case will be:
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{
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'var1': [1,2,3],
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'var2': [a,b,c]
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}
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:return: Evaluated 'with-items' expression values.
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"""
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ctx_view = data_flow.ContextView(
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self.ctx,
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self.wf_ex.context,
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self.wf_ex.input
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)
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return expr.evaluate_recursively(
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self.task_spec.get_with_items(),
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ctx_view
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)
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def _validate_values(self, with_items_values):
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# Take only mapped values and check them.
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values = list(with_items_values.values())
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if not all([isinstance(v, list) for v in values]):
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raise exc.InputException(
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"Wrong input format for: %s. List type is"
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" expected for each value." % with_items_values
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)
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required_len = len(values[0])
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if not all(len(v) == required_len for v in values):
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raise exc.InputException(
|
|
"Wrong input format for: %s. All arrays must"
|
|
" have the same length." % with_items_values
|
|
)
|
|
|
|
def _get_input_dicts(self, with_items_values):
|
|
"""Calculate input dictionaries for another portion of actions.
|
|
|
|
:return: a list of tuples containing indexes and
|
|
corresponding input dicts.
|
|
"""
|
|
result = []
|
|
|
|
for i in self._get_next_indexes():
|
|
ctx = {}
|
|
|
|
for k, v in with_items_values.items():
|
|
ctx.update({k: v[i]})
|
|
|
|
ctx = utils.merge_dicts(ctx, self.ctx)
|
|
|
|
result.append((i, self._get_action_input(ctx)))
|
|
|
|
return result
|
|
|
|
def _get_with_items_context(self):
|
|
return self.task_ex.runtime_context.get(
|
|
self._WITH_ITEMS,
|
|
self._DEFAULT_WITH_ITEMS
|
|
)
|
|
|
|
def _get_with_items_count(self):
|
|
return self._get_with_items_context()[self._COUNT]
|
|
|
|
def _get_with_items_capacity(self):
|
|
return self._get_with_items_context()[self._CAPACITY]
|
|
|
|
def _get_concurrency(self):
|
|
return self.task_ex.runtime_context.get(self._CONCURRENCY)
|
|
|
|
def is_with_items_completed(self):
|
|
find_cancelled = lambda x: x.accepted and x.state == states.CANCELLED
|
|
|
|
if list(filter(find_cancelled, self.task_ex.executions)):
|
|
return True
|
|
|
|
execs = list([t for t in self.task_ex.executions if t.accepted])
|
|
count = self._get_with_items_count() or 1
|
|
|
|
# We need to make sure that method on_action_complete() has been
|
|
# called for every action. Just looking at number of actions and
|
|
# their 'accepted' flag is not enough because action gets accepted
|
|
# before on_action_complete() is called for it. This call is
|
|
# mandatory in order to do all needed processing from task
|
|
# perspective. So we can simply check if capacity is fully reset
|
|
# to its initial state.
|
|
full_capacity = (
|
|
not self._get_concurrency() or
|
|
self._get_with_items_capacity() == self._get_concurrency()
|
|
)
|
|
|
|
return count == len(execs) and full_capacity
|
|
|
|
def _get_final_state(self):
|
|
find_cancelled = lambda x: x.accepted and x.state == states.CANCELLED
|
|
find_error = lambda x: x.accepted and x.state == states.ERROR
|
|
|
|
if list(filter(find_cancelled, self.task_ex.executions)):
|
|
return states.CANCELLED
|
|
elif list(filter(find_error, self.task_ex.executions)):
|
|
return states.ERROR
|
|
else:
|
|
return states.SUCCESS
|
|
|
|
def _get_accepted_executions(self):
|
|
# Choose only if not accepted but completed.
|
|
return list(
|
|
[x for x in self.task_ex.executions
|
|
if x.accepted and states.is_completed(x.state)]
|
|
)
|
|
|
|
def _get_unaccepted_executions(self):
|
|
# Choose only if not accepted but completed.
|
|
return list(
|
|
filter(
|
|
lambda x: not x.accepted and states.is_completed(x.state),
|
|
self.task_ex.executions
|
|
)
|
|
)
|
|
|
|
def _get_next_start_index(self):
|
|
f = lambda x: (
|
|
x.accepted or
|
|
states.is_running(x.state) or
|
|
states.is_idle(x.state)
|
|
)
|
|
|
|
return len(list(filter(f, self.task_ex.executions)))
|
|
|
|
def _get_next_indexes(self):
|
|
capacity = self._get_with_items_capacity()
|
|
count = self._get_with_items_count()
|
|
|
|
def _get_indexes(exs):
|
|
return sorted(set([ex.runtime_context['index'] for ex in exs]))
|
|
|
|
accepted = _get_indexes(self._get_accepted_executions())
|
|
unaccepted = _get_indexes(self._get_unaccepted_executions())
|
|
|
|
candidates = sorted(list(set(unaccepted) - set(accepted)))
|
|
|
|
if candidates:
|
|
indices = copy.copy(candidates)
|
|
|
|
if max(candidates) < count - 1:
|
|
indices += list(six.moves.range(max(candidates) + 1, count))
|
|
else:
|
|
i = self._get_next_start_index()
|
|
indices = list(six.moves.range(i, count))
|
|
|
|
return indices[:capacity]
|
|
|
|
def _increase_capacity(self):
|
|
ctx = self._get_with_items_context()
|
|
concurrency = self._get_concurrency()
|
|
|
|
if concurrency and ctx[self._CAPACITY] < concurrency:
|
|
ctx[self._CAPACITY] += 1
|
|
|
|
self.task_ex.runtime_context.update({self._WITH_ITEMS: ctx})
|
|
|
|
def _decrease_capacity(self, count):
|
|
ctx = self._get_with_items_context()
|
|
|
|
capacity = ctx[self._CAPACITY]
|
|
|
|
if capacity is not None:
|
|
if capacity >= count:
|
|
ctx[self._CAPACITY] -= count
|
|
else:
|
|
raise RuntimeError(
|
|
"Can't decrease with-items capacity"
|
|
" [capacity=%s, count=%s]" % (capacity, count)
|
|
)
|
|
|
|
self.task_ex.runtime_context.update({self._WITH_ITEMS: ctx})
|
|
|
|
def _is_new(self):
|
|
return not self.task_ex.runtime_context.get(self._WITH_ITEMS)
|
|
|
|
def _prepare_runtime_context(self, action_count):
|
|
runtime_ctx = self.task_ex.runtime_context
|
|
|
|
if not runtime_ctx.get(self._WITH_ITEMS):
|
|
# Prepare current indexes and parallel limitation.
|
|
runtime_ctx[self._WITH_ITEMS] = {
|
|
self._CAPACITY: self._get_concurrency(),
|
|
self._COUNT: action_count
|
|
}
|
|
|
|
def _has_more_iterations(self):
|
|
# See action executions which have been already
|
|
# accepted or are still running.
|
|
action_exs = list(filter(
|
|
lambda x: x.accepted or x.state == states.RUNNING,
|
|
self.task_ex.executions
|
|
))
|
|
|
|
return self._get_with_items_count() > len(action_exs)
|