Instead of blindly assuming all the symbols that are provided automatically work for all flows even if the flow has ordering constraints we should set the base flow class requires property to be abstract and provide flow specific properties that can do the appropriate analysis to determine what the flows unsatisfied symbol requirements actually are. Part of blueprint taskflow-improved-scoping Change-Id: Ie149c05b3305c5bfff9d9f2c05e7e064c3a6d0c7
107 lines
4.0 KiB
Python
107 lines
4.0 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (C) 2012 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
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from taskflow import flow
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class Flow(flow.Flow):
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"""Unordered Flow pattern.
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A unordered (potentially nested) flow of *tasks/flows* that can be
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executed in any order as one unit and rolled back as one unit.
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NOTE(harlowja): Since the flow is unordered there can *not* be any
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dependency between task/flow inputs (requirements) and
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task/flow outputs (provided names/values).
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"""
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def __init__(self, name, retry=None):
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super(Flow, self).__init__(name, retry)
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# NOTE(imelnikov): A unordered flow is unordered, so we use
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# set instead of list to save children, children so that
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# people using it don't depend on the ordering
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self._children = set()
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def add(self, *items):
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"""Adds a given task/tasks/flow/flows to this flow."""
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if not items:
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return self
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# check that items don't provide anything that other
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# part of flow provides or requires
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provides = self.provides
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old_requires = self.requires
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for item in items:
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item_provides = item.provides
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bad_provs = item_provides & old_requires
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if bad_provs:
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raise exceptions.DependencyFailure(
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"%(item)s provides %(oo)s that are required "
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"by other item(s) of unordered flow %(flow)s"
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% dict(item=item.name, flow=self.name,
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oo=sorted(bad_provs)))
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same_provides = provides & item.provides
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if same_provides:
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raise exceptions.DependencyFailure(
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"%(item)s provides %(value)s but is already being"
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" provided by %(flow)s and duplicate producers"
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" are disallowed"
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% dict(item=item.name, flow=self.name,
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value=sorted(same_provides)))
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provides |= item.provides
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# check that items don't require anything other children provides
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if self.retry:
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# NOTE(imelnikov): it is allowed to depend on value provided
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# by retry controller of the flow
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provides -= self.retry.provides
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for item in items:
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bad_reqs = provides & item.requires
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if bad_reqs:
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raise exceptions.DependencyFailure(
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"%(item)s requires %(oo)s that are provided "
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"by other item(s) of unordered flow %(flow)s"
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% dict(item=item.name, flow=self.name,
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oo=sorted(bad_reqs)))
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self._children.update(items)
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return self
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def __len__(self):
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return len(self._children)
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def __iter__(self):
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for child in self._children:
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yield child
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def iter_links(self):
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# NOTE(imelnikov): children in unordered flow have no dependencies
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# between each other due to invariants retained during construction.
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return iter(())
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@property
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def requires(self):
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requires = set()
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retry_provides = set()
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if self._retry is not None:
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requires.update(self._retry.requires)
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retry_provides.update(self._retry.provides)
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for item in self:
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item_requires = item.requires - retry_provides
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requires.update(item_requires)
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return frozenset(requires)
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