c73c097560
Provides and requires properties are used to browse all required and provided values for the whole Flow. The same properties were added to the Task. Appropriate Task properties were renamed to rebind and save_as. Change-Id: I02eb02303a9701a13f1a54f06f20bbf9aebd1d04
70 lines
2.1 KiB
Python
70 lines
2.1 KiB
Python
# -*- coding: utf-8 -*-
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# vim: tabstop=4 shiftwidth=4 softtabstop=4
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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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import collections
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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 inputs and task outputs.
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"""
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def __init__(self, name, uuid=None):
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super(Flow, self).__init__(name, uuid)
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# A unordered flow is unordered so use a dict that is indexed by
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# names instead of a list so that people using this flow don't depend
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# on the ordering.
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self._children = collections.defaultdict(list)
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self._count = 0
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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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for e in [self._extract_item(item) for item in items]:
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self._children[e.name].append(e)
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self._count += 1
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return self
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@property
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def provides(self):
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provides = set()
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for subflow in self:
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provides.update(subflow.provides)
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return provides
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@property
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def requires(self):
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requires = set()
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for subflow in self:
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requires.update(subflow.requires)
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return requires
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def __len__(self):
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return self._count
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def __iter__(self):
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for _n, group in self._children.iteritems():
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for g in group:
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yield g
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