Instead of blocking the caller when they call run() allow there to be a new api run_iter() that will yield back the engine state transitions while running. This allows for a engine user to do alternate work while an engine is running (and come back to yield on there own time). Implements blueprint iterable-execution Change-Id: Ibb48c6c5618c97c59a6ab170dab5233ed47e5554
		
			
				
	
	
		
			158 lines
		
	
	
		
			5.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			158 lines
		
	
	
		
			5.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
# -*- coding: utf-8 -*-
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#    Copyright (C) 2012-2013 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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from taskflow import exceptions as exc
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# Job states.
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CLAIMED = 'CLAIMED'
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COMPLETE = 'COMPLETE'
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UNCLAIMED = 'UNCLAIMED'
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# Flow states.
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FAILURE = 'FAILURE'
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PENDING = 'PENDING'
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REVERTING = 'REVERTING'
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REVERTED = 'REVERTED'
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RUNNING = 'RUNNING'
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SUCCESS = 'SUCCESS'
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SUSPENDING = 'SUSPENDING'
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SUSPENDED = 'SUSPENDED'
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RESUMING = 'RESUMING'
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# Task states (mainly a subset of the flow states).
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FAILURE = FAILURE
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PENDING = PENDING
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REVERTED = REVERTED
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REVERTING = REVERTING
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SUCCESS = SUCCESS
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RUNNING = RUNNING
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RETRYING = 'RETRYING'
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# Atom intentions.
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EXECUTE = 'EXECUTE'
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IGNORE = 'IGNORE'
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REVERT = 'REVERT'
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RETRY = 'RETRY'
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INTENTIONS = [EXECUTE, IGNORE, REVERT, RETRY]
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# Additional engine states
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SCHEDULING = 'SCHEDULING'
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WAITING = 'WAITING'
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ANALYZING = 'ANALYZING'
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## Flow state transitions
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# See: http://docs.openstack.org/developer/taskflow/states.html
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_ALLOWED_FLOW_TRANSITIONS = frozenset((
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    (PENDING, RUNNING),       # run it!
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    (RUNNING, SUCCESS),       # all tasks finished successfully
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    (RUNNING, FAILURE),       # some of task failed
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    (RUNNING, REVERTED),      # some of task failed and flow has been reverted
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    (RUNNING, SUSPENDING),    # engine.suspend was called
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    (RUNNING, RESUMING),      # resuming from a previous running
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    (SUCCESS, RUNNING),       # see note below
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    (FAILURE, RUNNING),       # see note below
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    (REVERTED, PENDING),      # try again
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    (SUSPENDING, SUSPENDED),  # suspend finished
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    (SUSPENDING, SUCCESS),    # all tasks finished while we were waiting
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    (SUSPENDING, FAILURE),    # some tasks failed while we were waiting
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    (SUSPENDING, REVERTED),   # all tasks were reverted while we were waiting
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    (SUSPENDING, RESUMING),   # resuming from a previous suspending
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    (SUSPENDED, RUNNING),     # restart from suspended
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    (RESUMING, SUSPENDED),    # after flow resumed, it is suspended
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))
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# NOTE(imelnikov) SUCCESS->RUNNING and FAILURE->RUNNING transitions are
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# useful when flow or flowdetails backing it were altered after the flow
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# was finished; then, client code may want to run through flow again
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# to ensure all tasks from updated flow had a chance to run.
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# NOTE(imelnikov): Engine cannot transition flow from SUSPENDING to
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# SUSPENDED while some tasks from the flow are running and some results
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# from them are not retrieved and saved properly, so while flow is
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# in SUSPENDING state it may wait for some of the tasks to stop. Then,
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# flow can go to SUSPENDED, SUCCESS, FAILURE or REVERTED state depending
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# of actual state of the tasks -- e.g. if all tasks were finished
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# successfully while we were waiting, flow can be transitioned from
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# SUSPENDING to SUCCESS state.
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_IGNORED_FLOW_TRANSITIONS = frozenset(
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    (a, b)
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    for a in (PENDING, FAILURE, SUCCESS, SUSPENDED, REVERTED)
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    for b in (SUSPENDING, SUSPENDED, RESUMING)
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    if a != b
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)
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def check_flow_transition(old_state, new_state):
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    """Check that flow can transition from old_state to new_state.
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    If transition can be performed, it returns True. If transition
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    should be ignored, it returns False. If transition is not
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    valid, it raises an InvalidState exception.
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    """
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    if old_state == new_state:
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        return False
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    pair = (old_state, new_state)
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    if pair in _ALLOWED_FLOW_TRANSITIONS:
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        return True
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    if pair in _IGNORED_FLOW_TRANSITIONS:
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        return False
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    raise exc.InvalidState("Flow transition from %s to %s is not allowed"
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                           % pair)
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## Task state transitions
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# See: http://docs.openstack.org/developer/taskflow/states.html
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_ALLOWED_TASK_TRANSITIONS = frozenset((
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    (PENDING, RUNNING),       # run it!
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    (RUNNING, SUCCESS),       # the task finished successfully
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    (RUNNING, FAILURE),       # the task failed
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    (FAILURE, REVERTING),     # task failed, do cleanup now
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    (SUCCESS, REVERTING),     # some other task failed, do cleanup now
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    (REVERTING, REVERTED),    # revert done
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    (REVERTING, FAILURE),     # revert failed
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    (REVERTED, PENDING),      # try again
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    (SUCCESS, RETRYING),      # retrying retry controller
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    (RETRYING, RUNNING),      # run retry controller that has been retrying
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))
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def check_task_transition(old_state, new_state):
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    """Check that task can transition from old_state to new_state.
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    If transition can be performed, it returns True, False otherwise.
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    """
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    pair = (old_state, new_state)
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    if pair in _ALLOWED_TASK_TRANSITIONS:
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        return True
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    return False
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