130 lines
4.7 KiB
Python
130 lines
4.7 KiB
Python
# This Source Code Form is subject to the terms of the Mozilla Public
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# License, v. 2.0. If a copy of the MPL was not distributed with this
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# file, You can obtain one at http://mozilla.org/MPL/2.0/.
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from __future__ import absolute_import, print_function, unicode_literals
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import unittest
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from ..generator import TaskGraphGenerator, Kind
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from .. import graph
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from ..task import base
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from mozunit import main
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class FakeTask(base.Task):
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def __init__(self, **kwargs):
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self.i = kwargs.pop('i')
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super(FakeTask, self).__init__(**kwargs)
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@classmethod
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def load_tasks(cls, kind, path, config, parameters, loaded_tasks):
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return [cls(kind=kind,
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label='{}-t-{}'.format(kind, i),
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attributes={'tasknum': str(i)},
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task={},
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i=i)
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for i in range(3)]
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def get_dependencies(self, full_task_set):
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i = self.i
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if i > 0:
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return [('{}-t-{}'.format(self.kind, i - 1), 'prev')]
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else:
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return []
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def optimize(self, params):
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return False, None
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class FakeKind(Kind):
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def _get_impl_class(self):
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return FakeTask
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def load_tasks(self, parameters, loaded_tasks):
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FakeKind.loaded_kinds.append(self.name)
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return super(FakeKind, self).load_tasks(parameters, loaded_tasks)
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class WithFakeKind(TaskGraphGenerator):
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def _load_kinds(self):
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for kind_name, deps in self.parameters['kinds']:
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yield FakeKind(
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kind_name, '/fake',
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{'kind-dependencies': deps} if deps else {})
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class TestGenerator(unittest.TestCase):
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def maketgg(self, target_tasks=None, kinds=[('fake', [])]):
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FakeKind.loaded_kinds = []
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self.target_tasks = target_tasks or []
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def target_tasks_method(full_task_graph, parameters):
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return self.target_tasks
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return WithFakeKind('/root', {'kinds': kinds}, target_tasks_method)
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def test_kind_ordering(self):
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"When task kinds depend on each other, they are loaded in postorder"
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self.tgg = self.maketgg(kinds=[
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('fake3', ['fake2', 'fake1']),
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('fake2', ['fake1']),
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('fake1', []),
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])
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self.tgg._run_until('full_task_set')
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self.assertEqual(FakeKind.loaded_kinds, ['fake1', 'fake2', 'fake3'])
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def test_full_task_set(self):
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"The full_task_set property has all tasks"
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self.tgg = self.maketgg()
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self.assertEqual(self.tgg.full_task_set.graph,
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graph.Graph({'fake-t-0', 'fake-t-1', 'fake-t-2'}, set()))
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self.assertEqual(sorted(self.tgg.full_task_set.tasks.keys()),
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sorted(['fake-t-0', 'fake-t-1', 'fake-t-2']))
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def test_full_task_graph(self):
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"The full_task_graph property has all tasks, and links"
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self.tgg = self.maketgg()
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self.assertEqual(self.tgg.full_task_graph.graph,
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graph.Graph({'fake-t-0', 'fake-t-1', 'fake-t-2'},
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{
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('fake-t-1', 'fake-t-0', 'prev'),
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('fake-t-2', 'fake-t-1', 'prev'),
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}))
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self.assertEqual(sorted(self.tgg.full_task_graph.tasks.keys()),
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sorted(['fake-t-0', 'fake-t-1', 'fake-t-2']))
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def test_target_task_set(self):
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"The target_task_set property has the targeted tasks"
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self.tgg = self.maketgg(['fake-t-1'])
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self.assertEqual(self.tgg.target_task_set.graph,
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graph.Graph({'fake-t-1'}, set()))
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self.assertEqual(self.tgg.target_task_set.tasks.keys(),
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['fake-t-1'])
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def test_target_task_graph(self):
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"The target_task_graph property has the targeted tasks and deps"
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self.tgg = self.maketgg(['fake-t-1'])
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self.assertEqual(self.tgg.target_task_graph.graph,
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graph.Graph({'fake-t-0', 'fake-t-1'},
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{('fake-t-1', 'fake-t-0', 'prev')}))
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self.assertEqual(sorted(self.tgg.target_task_graph.tasks.keys()),
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sorted(['fake-t-0', 'fake-t-1']))
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def test_optimized_task_graph(self):
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"The optimized task graph contains task ids"
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self.tgg = self.maketgg(['fake-t-2'])
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tid = self.tgg.label_to_taskid
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self.assertEqual(
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self.tgg.optimized_task_graph.graph,
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graph.Graph({tid['fake-t-0'], tid['fake-t-1'], tid['fake-t-2']}, {
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(tid['fake-t-1'], tid['fake-t-0'], 'prev'),
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(tid['fake-t-2'], tid['fake-t-1'], 'prev'),
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}))
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if __name__ == '__main__':
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main()
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