# -*- coding: utf-8 -*- # Copyright (C) 2014 Yahoo! Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. from taskflow.patterns import linear_flow as lf from taskflow import retry from taskflow import test from taskflow.tests import utils def _task(name, provides=None, requires=None): return utils.ProvidesRequiresTask(name, provides, requires) class LinearFlowTest(test.TestCase): def test_linear_flow_starts_as_empty(self): f = lf.Flow('test') self.assertEqual(0, len(f)) self.assertEqual([], list(f)) self.assertEqual([], list(f.iter_links())) self.assertEqual(set(), f.requires) self.assertEqual(set(), f.provides) expected = 'taskflow.patterns.linear_flow.Flow: test(len=0)' self.assertEqual(expected, str(f)) def test_linear_flow_add_nothing(self): f = lf.Flow('test') result = f.add() self.assertIs(f, result) self.assertEqual(0, len(f)) def test_linear_flow_one_task(self): f = lf.Flow('test') task = _task(name='task1', requires=['a', 'b'], provides=['c', 'd']) result = f.add(task) self.assertIs(f, result) self.assertEqual(1, len(f)) self.assertEqual([task], list(f)) self.assertEqual([], list(f.iter_links())) self.assertEqual(set(['a', 'b']), f.requires) self.assertEqual(set(['c', 'd']), f.provides) def test_linear_flow_two_independent_tasks(self): task1 = _task(name='task1') task2 = _task(name='task2') f = lf.Flow('test').add(task1, task2) self.assertEqual(2, len(f)) self.assertEqual([task1, task2], list(f)) self.assertEqual([(task1, task2, {'invariant': True})], list(f.iter_links())) def test_linear_flow_two_dependent_tasks(self): task1 = _task(name='task1', provides=['a']) task2 = _task(name='task2', requires=['a']) f = lf.Flow('test').add(task1, task2) self.assertEqual(2, len(f)) self.assertEqual([task1, task2], list(f)) self.assertEqual([(task1, task2, {'invariant': True})], list(f.iter_links())) self.assertEqual(set(), f.requires) self.assertEqual(set(['a']), f.provides) def test_linear_flow_two_dependent_tasks_two_different_calls(self): task1 = _task(name='task1', provides=['a']) task2 = _task(name='task2', requires=['a']) f = lf.Flow('test').add(task1).add(task2) self.assertEqual(2, len(f)) self.assertEqual([task1, task2], list(f)) self.assertEqual([(task1, task2, {'invariant': True})], list(f.iter_links()), ) def test_linear_flow_three_tasks(self): task1 = _task(name='task1') task2 = _task(name='task2') task3 = _task(name='task3') f = lf.Flow('test').add(task1, task2, task3) self.assertEqual(3, len(f)) self.assertEqual([task1, task2, task3], list(f)) self.assertEqual([ (task1, task2, {'invariant': True}), (task2, task3, {'invariant': True}) ], list(f.iter_links())) expected = 'taskflow.patterns.linear_flow.Flow: test(len=3)' self.assertEqual(expected, str(f)) def test_linear_flow_with_retry(self): ret = retry.AlwaysRevert(requires=['a'], provides=['b']) f = lf.Flow('test', ret) self.assertIs(f.retry, ret) self.assertEqual('test_retry', ret.name) self.assertEqual(set(['a']), f.requires) self.assertEqual(set(['b']), f.provides) def test_iter_nodes(self): task1 = _task(name='task1') task2 = _task(name='task2') task3 = _task(name='task3') f = lf.Flow('test').add(task1, task2, task3) tasks = set([task1, task2, task3]) for (node, data) in f.iter_nodes(): self.assertTrue(node in tasks) self.assertDictEqual({}, data) def test_iter_links(self): task1 = _task(name='task1') task2 = _task(name='task2') task3 = _task(name='task3') f = lf.Flow('test').add(task1, task2, task3) tasks = set([task1, task2, task3]) for (u, v, data) in f.iter_links(): self.assertTrue(u in tasks) self.assertTrue(v in tasks) self.assertDictEqual({'invariant': True}, data)