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'])