def test_scalar(self):
d = dict()
metric = CallbackMetric("size", lambda: len(d))
self.assertEquals(metric.render(), [
'size 0',
])
d["key"] = "value"
self.assertEquals(metric.render(), [
'size 1',
])
def test_scalar(self):
d = dict()
metric = CallbackMetric("size", lambda: len(d))
self.assertEquals(metric.render(), [
'size 0',
])
d["key"] = "value"
self.assertEquals(metric.render(), [
'size 1',
])
def test_vector(self):
vals = dict()
metric = CallbackMetric("values", lambda: vals, labels=["type"])
self.assertEquals(metric.render(), [])
# Keys have to be tuples, even if they're 1-element
vals[("foo", )] = 1
vals[("bar", )] = 2
self.assertEquals(metric.render(), [
'values{type="bar"} 2',
'values{type="foo"} 1',
])
def test_vector(self):
vals = dict()
metric = CallbackMetric("values", lambda: vals, labels=["type"])
self.assertEquals(metric.render(), [])
# Keys have to be tuples, even if they're 1-element
vals[("foo",)] = 1
vals[("bar",)] = 2
self.assertEquals(metric.render(), [
'values{type="bar"} 2',
'values{type="foo"} 1',
])