46fc1dd9ee
Similar to the rebind functionality that lets you rename parameters from those in the store, inject lets you inject arbitrary key/value pairs that will be sent to your task at task creation time. This allows for flow and flow factories to reuse tasks with differing parameters without jumping through a lot of hoops. Change-Id: If167962811d22054b89d7d35a33d4ec5cb2cd648 Implements: blueprint wbe-workers-endpoints-constructors
93 lines
3.6 KiB
Python
93 lines
3.6 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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import logging
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from taskflow.engines.action_engine import executor as ex
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from taskflow import exceptions
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from taskflow import states
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from taskflow.utils import async_utils
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from taskflow.utils import misc
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LOG = logging.getLogger(__name__)
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SAVE_RESULT_STATES = (states.SUCCESS, states.FAILURE)
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class RetryAction(object):
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def __init__(self, storage, notifier):
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self._storage = storage
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self._notifier = notifier
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def _get_retry_args(self, retry):
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kwargs = self._storage.fetch_mapped_args(retry.rebind,
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task_name=retry.name)
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kwargs['history'] = self._storage.get_retry_history(retry.name)
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return kwargs
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def change_state(self, retry, state, result=None):
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old_state = self._storage.get_atom_state(retry.name)
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if old_state == state:
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return state != states.PENDING
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if state in SAVE_RESULT_STATES:
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self._storage.save(retry.name, result, state)
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elif state == states.REVERTED:
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self._storage.cleanup_retry_history(retry.name, state)
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else:
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self._storage.set_atom_state(retry.name, state)
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retry_uuid = self._storage.get_atom_uuid(retry.name)
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details = dict(retry_name=retry.name,
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retry_uuid=retry_uuid,
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result=result)
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self._notifier.notify(state, details)
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return True
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def execute(self, retry):
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if not self.change_state(retry, states.RUNNING):
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raise exceptions.InvalidState("Retry controller %s is in invalid "
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"state and can't be executed" %
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retry.name)
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kwargs = self._get_retry_args(retry)
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try:
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result = retry.execute(**kwargs)
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except Exception:
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result = misc.Failure()
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self.change_state(retry, states.FAILURE, result=result)
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else:
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self.change_state(retry, states.SUCCESS, result=result)
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return async_utils.make_completed_future((retry, ex.EXECUTED, result))
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def revert(self, retry):
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if not self.change_state(retry, states.REVERTING):
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raise exceptions.InvalidState("Retry controller %s is in invalid "
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"state and can't be reverted" %
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retry.name)
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kwargs = self._get_retry_args(retry)
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kwargs['flow_failures'] = self._storage.get_failures()
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try:
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result = retry.revert(**kwargs)
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except Exception:
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result = misc.Failure()
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self.change_state(retry, states.FAILURE)
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else:
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self.change_state(retry, states.REVERTED)
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return async_utils.make_completed_future((retry, ex.REVERTED, result))
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def on_failure(self, retry, atom, last_failure):
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self._storage.save_retry_failure(retry.name, atom.name, last_failure)
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kwargs = self._get_retry_args(retry)
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return retry.on_failure(**kwargs)
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