def testSerialize(self):
hist = histogram.Histogram('aaa', 'count_biggerIsBetter')
hist.description = 'lorem ipsum'
hist.diagnostics['bbb'] = related_name_map.RelatedNameMap({
'ccc': 'a:c',
'ddd': 'a:d',
})
hist.diagnostics['hhh'] = generic_set.GenericSet(['ggg'])
hist.AddSample(0, {
'bbb': breakdown.Breakdown.FromEntries({
'ccc': 11,
'ddd': 31,
}),
'eee': related_event_set.RelatedEventSet([{
'stableId': 'fff',
'title': 'ggg',
'start': 3,
'duration': 4,
}]),
})
data = histogram_serializer.Serialize([hist])
self.assertEqual(data, [
[
'aaa',
[1, [1, 1000.0, 20]],
'',
'ccc',
'ddd',
[3, 4],
'ggg',
'avg', 'count', 'max', 'min', 'std', 'sum',
'lorem ipsum',
'a:c',
'a:d',
],
{
'Breakdown': {'bbb': {5: [2, 5, 11, 31]}},
'GenericSet': {
'hhh': {0: 6},
'statisticsNames': {1: [7, 8, 9, 10, 11, 12]},
'description': {3: 13},
},
'RelatedEventSet': {'eee': {4: [['fff', 6, 3, 4]]}},
'RelatedNameMap': {'bbb': {2: [5, 14, 15]}},
},
[
0,
'count+',
1,
[0, 1, 2, 3],
[1, 0, None, 0, 0, 0, 0],
{0: [1, [None, 4, 5]]},
0,
]
])
def testMerge(self):
events = related_event_set.RelatedEventSet()
events.Add({
'stableId': '0.0',
'title': 'foo',
'start': 0,
'duration': 1,
})
generic = generic_set.GenericSet(['generic diagnostic'])
generic2 = generic_set.GenericSet(['generic diagnostic 2'])
related_map = histogram.RelatedHistogramMap()
related_map.Set('a', histogram.Histogram('histogram', 'count'))
hist = histogram.Histogram('', 'count')
# When Histograms are merged, first an empty clone is created with an empty
# DiagnosticMap.
hist2 = histogram.Histogram('', 'count')
hist2.diagnostics['a'] = generic
hist.diagnostics.Merge(hist2.diagnostics)
self.assertIs(generic, hist.diagnostics['a'])
# Separate keys are not merged.
hist3 = histogram.Histogram('', 'count')
hist3.diagnostics['b'] = generic2
hist.diagnostics.Merge(hist3.diagnostics)
self.assertIs(generic, hist.diagnostics['a'])
self.assertIs(generic2, hist.diagnostics['b'])
# Merging unmergeable diagnostics should produce an
# UnmergeableDiagnosticSet.
hist4 = histogram.Histogram('', 'count')
hist4.diagnostics['a'] = related_map
hist.diagnostics.Merge(hist4.diagnostics)
self.assertIsInstance(hist.diagnostics['a'],
ums.UnmergeableDiagnosticSet)
diagnostics = list(hist.diagnostics['a'])
self.assertIs(generic, diagnostics[0])
self.assertIs(related_map, diagnostics[1])
# UnmergeableDiagnosticSets are mergeable.
hist5 = histogram.Histogram('', 'count')
hist5.diagnostics['a'] = ums.UnmergeableDiagnosticSet(
[events, generic2])
hist.diagnostics.Merge(hist5.diagnostics)
self.assertIsInstance(hist.diagnostics['a'],
ums.UnmergeableDiagnosticSet)
diagnostics = list(hist.diagnostics['a'])
self.assertIs(generic, diagnostics[0])
self.assertIs(related_map, diagnostics[1])
self.assertIs(events, diagnostics[2])
self.assertIs(generic2, diagnostics[3])
def testRoundtrip(self):
events = related_event_set.RelatedEventSet()
events.Add({
'stableId': '0.0',
'title': 'foo',
'start': 0,
'duration': 1,
})
d = events.AsDict()
clone = diagnostic.Diagnostic.FromDict(d)
self.assertEqual(histogram_unittest.ToJSON(d),
histogram_unittest.ToJSON(clone.AsDict()))
self.assertEqual(len(events), 1)
event = list(events)[0]
self.assertEqual(event['stableId'], '0.0')
self.assertEqual(event['title'], 'foo')
self.assertEqual(event['start'], 0)
self.assertEqual(event['duration'], 1)
