8686f28659
and easy to reimplement later. added tests for GaugeMax and CumulativeRange CumulativeTotal was renamed to CumulativeRange
273 lines
9.6 KiB
Python
273 lines
9.6 KiB
Python
import artifice.transformers
|
|
from artifice.transformers import TransformerValidationError
|
|
import artifice.constants as constants
|
|
import unittest
|
|
import mock
|
|
|
|
|
|
class testdata:
|
|
t0 = '2014-01-01T00:00:00'
|
|
t0_10 = '2014-01-01T00:10:00'
|
|
t0_20 = '2014-01-01T00:30:00'
|
|
t0_30 = '2014-01-01T00:30:00'
|
|
t0_40 = '2014-01-01T00:40:00'
|
|
t0_50 = '2014-01-01T00:50:00'
|
|
t1 = '2014-01-01T01:00:00'
|
|
|
|
flavor = 'm1.tiny'
|
|
flavor2 = 'm1.large'
|
|
|
|
|
|
class TestMeter(object):
|
|
def __init__(self, data, mtype=None):
|
|
self.data = data
|
|
self.type = mtype
|
|
|
|
def usage(self):
|
|
return self.data
|
|
|
|
|
|
class UptimeTransformerTests(unittest.TestCase):
|
|
def test_required_metrics_not_present(self):
|
|
"""
|
|
Test that the correct exception is thrown if one of the required meters
|
|
is not present.
|
|
"""
|
|
xform = artifice.transformers.Uptime()
|
|
|
|
with self.assertRaises(TransformerValidationError) as e:
|
|
xform.transform_usage({})
|
|
|
|
self.assertTrue(e.exception.message.startswith('Required meters:'))
|
|
|
|
def _run_transform(self, meters):
|
|
xform = artifice.transformers.Uptime()
|
|
with mock.patch('artifice.helpers.flavor_name') as flavor_name:
|
|
flavor_name.side_effect = lambda x: x
|
|
return xform.transform_usage(meters)
|
|
|
|
def test_trivial_run(self):
|
|
"""
|
|
Test that an no input data produces empty uptime.
|
|
"""
|
|
meters = {
|
|
'flavor': TestMeter([]),
|
|
'state': TestMeter([])
|
|
}
|
|
|
|
result = self._run_transform(meters)
|
|
self.assertEqual({}, result)
|
|
|
|
def test_online_constant_flavor(self):
|
|
"""
|
|
Test that a machine online for a 1h period with constant
|
|
flavor works and gives 1h of uptime.
|
|
"""
|
|
meters = {
|
|
'flavor': TestMeter([
|
|
{'timestamp': testdata.t0, 'counter_volume': testdata.flavor},
|
|
{'timestamp': testdata.t1, 'counter_volume': testdata.flavor},
|
|
]),
|
|
'state': TestMeter([
|
|
{'timestamp': testdata.t0, 'counter_volume': constants.active},
|
|
{'timestamp': testdata.t1, 'counter_volume': constants.active}
|
|
]),
|
|
}
|
|
|
|
result = self._run_transform(meters)
|
|
# there should be one hour of usage.
|
|
self.assertEqual({testdata.flavor: 3600}, result)
|
|
|
|
def test_offline_constant_flavor(self):
|
|
"""
|
|
Test that a machine offline for a 1h period with constant flavor
|
|
works and gives zero uptime.
|
|
"""
|
|
|
|
meters = {
|
|
'flavor': TestMeter([
|
|
{'timestamp': testdata.t0, 'counter_volume': testdata.flavor},
|
|
{'timestamp': testdata.t1, 'counter_volume': testdata.flavor},
|
|
]),
|
|
'state': TestMeter([
|
|
{'timestamp': testdata.t0, 'counter_volume': constants.stopped},
|
|
{'timestamp': testdata.t1, 'counter_volume': constants.stopped}
|
|
]),
|
|
}
|
|
|
|
result = self._run_transform(meters)
|
|
# there should be no usage, the machine was off.
|
|
self.assertEqual({}, result)
|
|
|
|
def test_shutdown_during_period(self):
|
|
"""
|
|
Test that a machine run for 0.5 then shutdown gives 0.5h uptime.
|
|
"""
|
|
meters = {
|
|
'flavor': TestMeter([
|
|
{'timestamp': testdata.t0, 'counter_volume': testdata.flavor},
|
|
{'timestamp': testdata.t0_30, 'counter_volume': testdata.flavor},
|
|
{'timestamp': testdata.t1, 'counter_volume': testdata.flavor},
|
|
]),
|
|
'state': TestMeter([
|
|
{'timestamp': testdata.t0, 'counter_volume': constants.active},
|
|
{'timestamp': testdata.t0_30, 'counter_volume': constants.stopped},
|
|
{'timestamp': testdata.t1, 'counter_volume': constants.stopped}
|
|
]),
|
|
}
|
|
|
|
result = self._run_transform(meters)
|
|
# there should be half an hour of usage.
|
|
self.assertEqual({'m1.tiny': 1800}, result)
|
|
|
|
def test_online_flavor_change(self):
|
|
"""
|
|
Test that a machine run for 0.5h as m1.tiny, resized to m1.large,
|
|
and run for a further 0.5 yields 0.5h of uptime in each class.
|
|
"""
|
|
meters = {
|
|
'flavor': TestMeter([
|
|
{'timestamp': testdata.t0, 'counter_volume': testdata.flavor},
|
|
{'timestamp': testdata.t0_30, 'counter_volume': testdata.flavor2},
|
|
{'timestamp': testdata.t1, 'counter_volume': testdata.flavor2},
|
|
]),
|
|
'state': TestMeter([
|
|
{'timestamp': testdata.t0, 'counter_volume': constants.active},
|
|
{'timestamp': testdata.t0_30, 'counter_volume': constants.active},
|
|
{'timestamp': testdata.t1, 'counter_volume': constants.active}
|
|
]),
|
|
}
|
|
|
|
result = self._run_transform(meters)
|
|
# there should be half an hour of usage in each of m1.tiny and m1.large
|
|
self.assertEqual({'m1.tiny': 1800, 'm1.large': 1800}, result)
|
|
|
|
|
|
class GaugeMaxTransformerTests(unittest.TestCase):
|
|
def test_wrong_metrics_type(self):
|
|
"""
|
|
Test that the correct exception is thrown if any given meters
|
|
are of the wrong type.
|
|
"""
|
|
xform = artifice.transformers.GaugeMax()
|
|
|
|
meter = mock.MagicMock()
|
|
meter.type = "cumulative"
|
|
|
|
with self.assertRaises(TransformerValidationError) as e:
|
|
xform.transform_usage({'some_meter': meter})
|
|
|
|
self.assertTrue(
|
|
e.exception.message.startswith('Meters must all be of type: '))
|
|
|
|
def test_all_different_values(self):
|
|
"""
|
|
Tests that the transformer correctly grabs the highest value,
|
|
when all values are different.
|
|
"""
|
|
|
|
meters = {
|
|
'size': TestMeter([
|
|
{'timestamp': testdata.t0, 'counter_volume': 12},
|
|
{'timestamp': testdata.t0_10, 'counter_volume': 3},
|
|
{'timestamp': testdata.t0_20, 'counter_volume': 7},
|
|
{'timestamp': testdata.t0_30, 'counter_volume': 3},
|
|
{'timestamp': testdata.t0_40, 'counter_volume': 25},
|
|
{'timestamp': testdata.t0_50, 'counter_volume': 2},
|
|
{'timestamp': testdata.t1, 'counter_volume': 6},
|
|
], "gauge")
|
|
}
|
|
|
|
xform = artifice.transformers.GaugeMax()
|
|
usage = xform.transform_usage(meters)
|
|
|
|
self.assertEqual({'size': 25}, usage)
|
|
|
|
def test_all_same_values(self):
|
|
"""
|
|
Tests that that transformer correctly grabs any value,
|
|
when all values are the same.
|
|
"""
|
|
|
|
meters = {
|
|
'size': TestMeter([
|
|
{'timestamp': testdata.t0, 'counter_volume': 25},
|
|
{'timestamp': testdata.t0_30, 'counter_volume': 25},
|
|
{'timestamp': testdata.t1, 'counter_volume': 25},
|
|
], "gauge")
|
|
}
|
|
|
|
xform = artifice.transformers.GaugeMax()
|
|
usage = xform.transform_usage(meters)
|
|
|
|
self.assertEqual({'size': 25}, usage)
|
|
|
|
|
|
class CumulativeRangeTransformerTests(unittest.TestCase):
|
|
|
|
def test_no_reset(self):
|
|
"""
|
|
Tests that the correct usage is being returned for the range,
|
|
when no reset occurs.
|
|
"""
|
|
meters = {
|
|
'time': TestMeter([
|
|
{'timestamp': testdata.t0, 'counter_volume': 1},
|
|
{'timestamp': testdata.t0_10, 'counter_volume': 2},
|
|
{'timestamp': testdata.t0_20, 'counter_volume': 3},
|
|
{'timestamp': testdata.t0_30, 'counter_volume': 4},
|
|
{'timestamp': testdata.t0_40, 'counter_volume': 5},
|
|
{'timestamp': testdata.t0_50, 'counter_volume': 6},
|
|
{'timestamp': testdata.t1, 'counter_volume': 7},
|
|
], "cumulative")
|
|
}
|
|
|
|
xform = artifice.transformers.CumulativeRange()
|
|
usage = xform.transform_usage(meters)
|
|
|
|
self.assertEqual({'time': 6}, usage)
|
|
|
|
def test_clear_reset(self):
|
|
"""
|
|
Tests that the correct usage is being returned for the range,
|
|
when a reset occurs.
|
|
"""
|
|
meters = {
|
|
'time': TestMeter([
|
|
{'timestamp': testdata.t0, 'counter_volume': 10},
|
|
{'timestamp': testdata.t0_10, 'counter_volume': 20},
|
|
{'timestamp': testdata.t0_20, 'counter_volume': 40},
|
|
{'timestamp': testdata.t0_30, 'counter_volume': 0},
|
|
{'timestamp': testdata.t0_40, 'counter_volume': 20},
|
|
{'timestamp': testdata.t0_50, 'counter_volume': 30},
|
|
{'timestamp': testdata.t1, 'counter_volume': 40},
|
|
], "cumulative")
|
|
}
|
|
|
|
xform = artifice.transformers.CumulativeRange()
|
|
usage = xform.transform_usage(meters)
|
|
|
|
self.assertEqual({'time': 70}, usage)
|
|
|
|
def test_close_reset(self):
|
|
"""
|
|
Tests that the correct usage is being returned for the range,
|
|
when a very close reset occurs.
|
|
"""
|
|
meters = {
|
|
'time': TestMeter([
|
|
{'timestamp': testdata.t0, 'counter_volume': 10},
|
|
{'timestamp': testdata.t0_10, 'counter_volume': 20},
|
|
{'timestamp': testdata.t0_20, 'counter_volume': 40},
|
|
{'timestamp': testdata.t0_30, 'counter_volume': 39},
|
|
{'timestamp': testdata.t0_40, 'counter_volume': 50},
|
|
{'timestamp': testdata.t0_50, 'counter_volume': 60},
|
|
{'timestamp': testdata.t1, 'counter_volume': 70},
|
|
], "cumulative")
|
|
}
|
|
|
|
xform = artifice.transformers.CumulativeRange()
|
|
usage = xform.transform_usage(meters)
|
|
|
|
self.assertEqual({'time': 100}, usage)
|