def test_flush(self):
self.mock_now(datetime.datetime(2015, 1, 2, 3, 4, 5))
calls = []
self.mock(metrics, '_enqueue_flush', lambda *args: calls.append(args))
d1 = metrics.Descriptor('name1', 'Desc 1', labels={'A': 'a', 'B': 'b'})
d2 = metrics.Descriptor('name2', 'Desc 2', labels={'C': 'c', 'D': 'd'})
d3 = metrics.Descriptor('name3', 'Desc 3', value_type='double')
buf = metrics.Buffer()
# Overwrite.
buf.set_gauge(d1, 123, labels={'A': '1', 'B': '2'})
buf.set_gauge(d1, 456, labels={'A': '1', 'B': '2'})
# Another label set.
buf.set_gauge(d1, 789, labels={'A': '3', 'B': '4'})
# Another descriptor.
buf.set_gauge(d2, 555, labels={'C': 'x', 'D': 'z'})
# Another metric type.
buf.set_gauge(d3, 3.0)
buf.flush(task_queue_name='task-queue')
self.assertEqual(1, len(calls))
self.assertEqual('task-queue', calls[0][1])
self.assertEqual(self.EXPECTED_FLUSH_TASK, calls[0][0])
def test_conflicting_descriptors(self):
d1 = metrics.Descriptor('name',
'Description',
labels={
'A': 'a',
'B': 'b'
})
d2 = metrics.Descriptor('name',
'Description',
labels={
'A': 'a',
'B': 'b'
})
d3 = metrics.Descriptor('name',
'Description',
labels={
'C': 'c',
'D': 'd'
})
buf = metrics.Buffer()
# No conflict.
buf.set_gauge(d1, 0, {'A': 'blah', 'B': 'blah'})
buf.set_gauge(d1, 0, {'A': 'blah 2', 'B': 'blah 2'})
buf.set_gauge(d2, 0, {'A': 'blah 3', 'B': 'blah 3'})
# Conflict: same metric name, different set of labels.
with self.assertRaises(ValueError):
buf.set_gauge(d3, 0, {'C': 'blah', 'D': 'blah'})
def test_validate_value_int(self):
d = metrics.Descriptor(name='abc',
description='Blah',
value_type='int64')
d.validate_value(1)
d.validate_value(1L)
with self.assertRaises(TypeError):
d.validate_value(None)
with self.assertRaises(TypeError):
d.validate_value(1.0)
with self.assertRaises(TypeError):
d.validate_value('boo')
def test_validate_labels(self):
d = metrics.Descriptor(name='abc',
description='Blah',
labels={
'A': 'a',
'B': 'b'
})
d.validate_labels({'A': 'a value', 'B': 'b value'})
with self.assertRaises(TypeError):
d.validate_labels(None)
with self.assertRaises(TypeError):
d.validate_labels({'A': 'a value'})
with self.assertRaises(TypeError):
d.validate_labels({'A': 'a value', 'B': 123})
with self.assertRaises(TypeError):
d.validate_labels({'A': 'a value', 'B': ''})
def test_to_from_dict(self):
d1 = metrics.Descriptor(name='abc',
description='Blah',
labels={
'A': '1',
'B': '2'
},
metric_type='gauge',
value_type='int64')
self.assertEqual([('A', '1'), ('B', '2')], d1.labels)
self.assertEqual(
{
'description': 'Blah',
'labels': {
'A': '1',
'B': '2'
},
'metric_type': 'gauge',
'name': 'abc',
'value_type': 'int64'
}, d1.to_dict())
d2 = metrics.Descriptor.from_dict(d1.to_dict())
self.assertEqual(vars(d1), vars(d2))
