def test_candidates(self): # Path B will win; it has one full and two deltas. index = get_index('candidates.index_13.json') candidates = get_candidates(index, 0) self.assertEqual(len(candidates), 3) path0 = candidates[0] self.assertEqual(descriptions(path0), ['Full A', 'Delta A.1', 'Delta A.2']) path1 = candidates[1] self.assertEqual(descriptions(path1), ['Full B', 'Delta B.1', 'Delta B.2']) path2 = candidates[2] self.assertEqual(descriptions(path2), ['Full C', 'Delta C.1']) # The version numbers use the new regime. self.assertEqual(path0[0].version, 300) self.assertEqual(path0[1].base, 300) self.assertEqual(path0[1].version, 301) self.assertEqual(path0[2].base, 301) self.assertEqual(path0[2].version, 304) winner = WeightedScorer().choose(candidates, 'devel') self.assertEqual(descriptions(winner), ['Full B', 'Delta B.1', 'Delta B.2']) self.assertEqual(winner[0].version, 200) self.assertEqual(winner[1].base, 200) self.assertEqual(winner[1].version, 201) self.assertEqual(winner[2].base, 201) self.assertEqual(winner[2].version, 304)
def test_filter_for_fulls(self): # Run a filter over the candidates, such that the only ones left are # those that contain only full upgrades. This can truncate any paths # that start with some fulls and then contain some deltas. index = get_index('candidates.index_08.json') candidates = get_candidates(index, 600) filtered = full_filter(candidates) # Since all images start with a full update, we're still left with # three candidates. self.assertEqual(len(filtered), 3) self.assertEqual([image.type for image in filtered[0]], ['full']) self.assertEqual([image.type for image in filtered[1]], ['full']) self.assertEqual([image.type for image in filtered[2]], ['full']) self.assertEqual(descriptions(filtered[0]), ['Full A']) self.assertEqual(descriptions(filtered[1]), ['Full B']) self.assertEqual(descriptions(filtered[2]), ['Full C'])
def test_filter_for_multiple_deltas(self): # The candidate path has multiple deltas. All are preserved. index = get_index('candidates.index_12.json') candidates = get_candidates(index, 100) filtered = delta_filter(candidates) self.assertEqual(len(filtered), 1) path = filtered[0] self.assertEqual(len(path), 3) self.assertEqual(descriptions(path), ['Delta A', 'Delta B', 'Delta C'])
def test_one_path_with_full_and_deltas(self): # There's one path to upgrade from our version to the final version. # This one starts at a full and includes several deltas. index = get_index('candidates.index_06.json') candidates = get_candidates(index, 1000) self.assertEqual(len(candidates), 1) path = candidates[0] self.assertEqual(len(path), 3) self.assertEqual([image.version for image in path], [1300, 1301, 1302]) self.assertEqual(descriptions(path), ['Full 1', 'Delta 1', 'Delta 2'])
def test_pulled_update(self): # When the final image on an update path has a phase percentage of # zero, then regardless of the device's percentage, the candidate path # is not okay. In this case, the `Full B` has phase of 0%. index = get_index('scores.index_01.json') candidates = get_candidates(index, 100) with patch('systemimage.scores.phased_percentage', return_value=0): winner = self.scorer.choose(candidates, 'devel') self.assertEqual(descriptions(winner), ['Full A', 'Delta A.1', 'Delta A.2'])
def test_equal_phase_gets_update(self): # When the final image on an update path has a phase percentage exactly # equal to the device percentage, the candidate path is okay. In this # case, the `Full B` has phase of 50%. index = get_index('scores.index_05.json') candidates = get_candidates(index, 100) with patch('systemimage.scores.phased_percentage', return_value=50): winner = self.scorer.choose(candidates, 'devel') self.assertEqual(descriptions(winner), ['Full B', 'Delta B.1', 'Delta B.2'])
def test_outside_phase_gets_update(self): # When the final image on an update path has a phase percentage lower # than the device percentage, the scorer falls back to the next # candidate path. index = get_index('scores.index_05.json') candidates = get_candidates(index, 100) with patch('systemimage.scores.phased_percentage', return_value=66): winner = self.scorer.choose(candidates, 'devel') self.assertEqual(descriptions(winner), ['Full A', 'Delta A.1', 'Delta A.2'])
def test_one_path_with_deltas(self): # Similar to above, except that because we're upgrading from the # version of the full, the path is only two images long, i.e. the # deltas. index = get_index('candidates.index_06.json') candidates = get_candidates(index, 1300) self.assertEqual(len(candidates), 1) path = candidates[0] self.assertEqual(len(path), 2) self.assertEqual([image.version for image in path], [1301, 1302]) self.assertEqual(descriptions(path), ['Delta 1', 'Delta 2'])
def test_two_deltas_based_on_us(self): # There are two deltas that are based on us, so both are candidates. # They get us to different final versions. index = get_index('candidates.index_05.json') candidates = get_candidates(index, 1100) self.assertEqual(len(candidates), 2) # Both candidate paths have exactly one image in them. We can't sort # these paths, so just test them both. path0, path1 = candidates self.assertEqual(len(path0), 1) self.assertEqual(len(path1), 1) # One path gets us to version 1300 and the other 1400. images = sorted([path0[0], path1[0]], key=attrgetter('version')) self.assertEqual(descriptions(images), ['Delta 2', 'Delta 1'])
def test_no_version_detail(self): # The index.json file has three paths for updates, but only one is # selected. The winning path lands on an image without a # version_detail key. index = get_index('scores.index_07.json') candidates = get_candidates(index, 600) scores = self.scorer.score(candidates) self.assertEqual(scores, [300, 200, 9401]) winner = self.scorer.choose(candidates, 'devel') self.assertEqual(len(winner), 3) self.assertEqual([image.version for image in winner], [1200, 1201, 1304]) self.assertEqual(descriptions(winner), ['Full B', 'Delta B.1', 'Delta B.2']) self.assertEqual(winner[-1].version_detail, '')
def test_three_paths(self): # - Path A requires three extra reboots, is the smallest total # download and leaves you at the highest available version. # Score: 300 # # - Path B requires one extra reboot, but is 100MiB bigger and leaves # you at the highest available version. Score: 200 # # - Path C requires no extra reboots, but is 400MiB bigger and leaves # you at 1303 instead of the highest 1304. For that reason, it gets # a huge score making it impossible to win. # # Path B wins. index = get_index('scores.index_03.json') candidates = get_candidates(index, 600) # There are three paths. The scores are as above. scores = self.scorer.score(candidates) self.assertEqual(scores, [300, 200, 9401]) winner = self.scorer.choose(candidates, 'devel') self.assertEqual(len(winner), 3) self.assertEqual([image.version for image in winner], [1200, 1201, 1304]) self.assertEqual(descriptions(winner), ['Full B', 'Delta B.1', 'Delta B.2'])