def test_to_series_list_dropna_false(self):
data = {
u"resultType": u"matrix",
u"result": [
{
u"metric": {u"instance": u"mock_vm_1"},
u"values": [[1509653822, u"1.123"],
[1509653827, u"2.123"],
[1509653832, u"3.123"],
[1509653842, u"5.123"]]
},
{
u"metric": {u"instance": u"mock_vm_0"},
u"values": [[1509653822, u"1.234"],
[1509653827, u"2.234"],
[1509653837, u"4.234"],
[1509653842, u"5.234"]]
},
]
}
s_list = prometheus.to_series_list(data, dropna=False)
self.assertTrue(
prometheus.to_series(data["result"][0], dropna=False).equals(s_list[0]))
self.assertEqual("mock_vm_1", s_list[0].name)
self.assertTrue(pandas.np.isnan(s_list[0].values[3]))
self.assertTrue(
prometheus.to_series(data["result"][1], dropna=False).equals(s_list[1]))
self.assertEqual("mock_vm_0", s_list[1].name)
self.assertTrue(pandas.np.isnan(s_list[1].values[2]))
def test_to_series_default(self):
data = {
u"resultType": u"matrix",
u"result": [
{
u"metric": {u"instance": u"mock_vm_0"},
u"values": [[1509653822, u"1.123"],
[1509653827, u"2.123"],
[1509653832, u"3.123"],
[1509653842, u"5.123"]]
}
]
}
result = data["result"][0]
s = prometheus.to_series(result)
self.assertEqual("mock_vm_0", s.name)
self.assertEqual(pandas.np.float64, s.dtype)
for expected, actual in zip([1509653822,
1509653827,
1509653832,
1509653837,
1509653842], s.index):
self.assertEqual(expected, actual)
for expected, actual in zip([1.123,
2.123,
3.123,
pandas.np.nan,
5.123], s.values):
if pandas.np.isnan(expected):
self.assertTrue(pandas.np.isnan(actual))
else:
self.assertAlmostEqual(expected, actual)
def test_to_series_values_length_one(self):
data = {
u"resultType": u"matrix",
u"result": [
{
u"metric": {u"instance": u"mock_vm_0"},
u"values": [[1509653822, u"1.234"]]
}
]
}
result = data["result"][0]
s = prometheus.to_series(result)
self.assertEqual(len(s), 1)
def test_to_series_values_empty(self):
data = {
u"resultType": u"matrix",
u"result": [
{
u"metric": {u"instance": u"mock_vm_0"},
u"values": []
}
]
}
result = data["result"][0]
s = prometheus.to_series(result)
self.assertTrue(s.empty)
def test_to_series_metric_empty(self):
data = {
u"resultType": u"matrix",
u"result": [
{
u"metric": {},
u"values": [[1509653822, u"1.123"],
[1509653827, u"2.123"],
[1509653832, u"3.123"],
[1509653842, u"4.123"]]
}
]
}
result = data["result"][0]
s = prometheus.to_series(result, dropna=False)
self.assertEqual(None, s.name)
def test_to_series_dropna_false(self):
data = {
u"resultType": u"matrix",
u"result": [
{
u"metric": {u"instance": u"mock_vm_0"},
u"values": [[1509653822, u"1.123"],
[1509653827, u"2.123"],
[1509653832, u"3.123"],
[1509653842, u"5.123"]]
}
]
}
result = data["result"][0]
s = prometheus.to_series(result, dropna=False)
# 5 instead of 4 due to gap in the index.
self.assertEqual(5, len(s.index))
self.assertEqual(5, len(s.values))
self.assertTrue(pandas.np.isnan(s.values[3]))