def test_added(self):
"""
total desired, pending and actual are added to cloud metrics
"""
td = 10
ta = 20
tp = 3
tt = 7
tg = 13
m = {'collectionTime': 100000, 'ttlInSeconds': 5 * 24 * 60 * 60}
md = merge(m, {'metricValue': td, 'metricName': 'ord.desired'})
ma = merge(m, {'metricValue': ta, 'metricName': 'ord.actual'})
mp = merge(m, {'metricValue': tp, 'metricName': 'ord.pending'})
mt = merge(m, {'metricValue': tt, 'metricName': 'ord.tenants'})
mg = merge(m, {'metricValue': tg, 'metricName': 'ord.groups'})
req_data = [md, ma, mp, mt, mg]
log = object()
seq = [
(Func(time.time), const(100)),
(service_request(
ServiceType.CLOUD_METRICS_INGEST, "POST", "ingest",
data=req_data, log=log).intent, noop)
]
eff = add_to_cloud_metrics(
m['ttlInSeconds'], 'ord', td, ta, tp, tt, tg, log=log)
self.assertIsNone(perform_sequence(seq, eff))
def test_added(self):
"""
total desired, pending and actual are added to cloud metrics
"""
metrics = [GroupMetrics('t1', 'g1', 3, 2, 0),
GroupMetrics('t2', 'g1', 4, 4, 1),
GroupMetrics('t2', 'g', 100, 20, 0)]
m = {'collectionTime': 100000, 'ttlInSeconds': 5 * 24 * 60 * 60}
md = merge(m, {'metricValue': 107, 'metricName': 'ord.desired'})
ma = merge(m, {'metricValue': 26, 'metricName': 'ord.actual'})
mp = merge(m, {'metricValue': 1, 'metricName': 'ord.pending'})
mt = merge(m, {'metricValue': 2, 'metricName': 'ord.tenants'})
mg = merge(m, {'metricValue': 3, 'metricName': 'ord.groups'})
mt1d = merge(m, {'metricValue': 3, 'metricName': 'ord.t1.desired'})
mt1a = merge(m, {'metricValue': 2, 'metricName': 'ord.t1.actual'})
mt1p = merge(m, {'metricValue': 0, 'metricName': 'ord.t1.pending'})
mt2d = merge(m, {'metricValue': 104, 'metricName': 'ord.t2.desired'})
mt2a = merge(m, {'metricValue': 24, 'metricName': 'ord.t2.actual'})
mt2p = merge(m, {'metricValue': 1, 'metricName': 'ord.t2.pending'})
req_data = [md, ma, mp, mt, mg, mt1d, mt1a, mt1p, mt2d, mt2a, mt2p]
log = mock_log()
seq = [
(Func(time.time), const(100)),
(service_request(
ServiceType.CLOUD_METRICS_INGEST, "POST", "ingest",
data=req_data, log=log).intent, noop)
]
eff = add_to_cloud_metrics(m['ttlInSeconds'], 'ord', metrics, 2, log)
self.assertIsNone(perform_sequence(seq, eff))
log.msg.assert_called_once_with(
'total desired: {td}, total_actual: {ta}, total pending: {tp}',
td=107, ta=26, tp=1)
def test_added(self):
"""
total desired, pending and actual are added to cloud metrics
"""
metrics = [
GroupMetrics('t1', 'g1', 3, 2, 0),
GroupMetrics('t2', 'g1', 4, 4, 1),
GroupMetrics('t2', 'g', 100, 20, 0),
GroupMetrics('t3', 'g3', 5, 3, 0)
]
config = {"non-convergence-tenants": ["t1"]}
m = {'collectionTime': 100000, 'ttlInSeconds': 5 * 24 * 60 * 60}
md = merge(m, {'metricValue': 112, 'metricName': 'ord.desired'})
ma = merge(m, {'metricValue': 29, 'metricName': 'ord.actual'})
mp = merge(m, {'metricValue': 1, 'metricName': 'ord.pending'})
mt = merge(m, {'metricValue': 3, 'metricName': 'ord.tenants'})
mg = merge(m, {'metricValue': 4, 'metricName': 'ord.groups'})
mt1d = merge(m, {'metricValue': 3, 'metricName': 'ord.t1.desired'})
mt1a = merge(m, {'metricValue': 2, 'metricName': 'ord.t1.actual'})
mt1p = merge(m, {'metricValue': 0, 'metricName': 'ord.t1.pending'})
mt2d = merge(m, {'metricValue': 104, 'metricName': 'ord.t2.desired'})
mt2a = merge(m, {'metricValue': 24, 'metricName': 'ord.t2.actual'})
mt2p = merge(m, {'metricValue': 1, 'metricName': 'ord.t2.pending'})
mt3d = merge(m, {'metricValue': 5, 'metricName': 'ord.t3.desired'})
mt3a = merge(m, {'metricValue': 3, 'metricName': 'ord.t3.actual'})
mt3p = merge(m, {'metricValue': 0, 'metricName': 'ord.t3.pending'})
cd = merge(m, {'metricValue': 109, 'metricName': 'ord.conv_desired'})
ca = merge(m, {'metricValue': 27, 'metricName': 'ord.conv_actual'})
cdiv = merge(m, {
'metricValue': 82,
'metricName': 'ord.conv_divergence'
})
req_data = [
md, ma, mp, mt, mg, mt1d, mt1a, mt1p, mt2d, mt2a, mt2p, mt3d, mt3a,
mt3p, cd, ca, cdiv
]
log = mock_log()
seq = [(Func(time.time), const(100)),
(service_request(ServiceType.CLOUD_METRICS_INGEST,
"POST",
"ingest",
data=req_data,
log=log).intent, noop)]
eff = add_to_cloud_metrics(
m['ttlInSeconds'],
'ord',
metrics,
3, # number of tenants
config,
log)
self.assertIsNone(perform_sequence(seq, eff))
log.msg.assert_called_once_with(
'total desired: {td}, total_actual: {ta}, total pending: {tp}',
td=112,
ta=29,
tp=1)
def test_added(self):
"""
total desired, pending and actual are added to cloud metrics
"""
metrics = [
GroupMetrics("t1", "g1", 3, 2, 0),
GroupMetrics("t2", "g1", 4, 4, 1),
GroupMetrics("t2", "g", 100, 20, 0),
GroupMetrics("t3", "g3", 5, 3, 0),
]
config = {"non-convergence-tenants": ["t1"]}
m = {"collectionTime": 100000, "ttlInSeconds": 5 * 24 * 60 * 60}
md = merge(m, {"metricValue": 112, "metricName": "ord.desired"})
ma = merge(m, {"metricValue": 29, "metricName": "ord.actual"})
mp = merge(m, {"metricValue": 1, "metricName": "ord.pending"})
mt = merge(m, {"metricValue": 3, "metricName": "ord.tenants"})
mg = merge(m, {"metricValue": 4, "metricName": "ord.groups"})
mt1d = merge(m, {"metricValue": 3, "metricName": "ord.t1.desired"})
mt1a = merge(m, {"metricValue": 2, "metricName": "ord.t1.actual"})
mt1p = merge(m, {"metricValue": 0, "metricName": "ord.t1.pending"})
mt2d = merge(m, {"metricValue": 104, "metricName": "ord.t2.desired"})
mt2a = merge(m, {"metricValue": 24, "metricName": "ord.t2.actual"})
mt2p = merge(m, {"metricValue": 1, "metricName": "ord.t2.pending"})
mt3d = merge(m, {"metricValue": 5, "metricName": "ord.t3.desired"})
mt3a = merge(m, {"metricValue": 3, "metricName": "ord.t3.actual"})
mt3p = merge(m, {"metricValue": 0, "metricName": "ord.t3.pending"})
cd = merge(m, {"metricValue": 109, "metricName": "ord.conv_desired"})
ca = merge(m, {"metricValue": 27, "metricName": "ord.conv_actual"})
cdiv = merge(m, {"metricValue": 82, "metricName": "ord.conv_divergence"})
req_data = [md, ma, mp, mt, mg, mt1d, mt1a, mt1p, mt2d, mt2a, mt2p, mt3d, mt3a, mt3p, cd, ca, cdiv]
log = mock_log()
seq = [
(Func(time.time), const(100)),
(service_request(ServiceType.CLOUD_METRICS_INGEST, "POST", "ingest", data=req_data, log=log).intent, noop),
]
eff = add_to_cloud_metrics(m["ttlInSeconds"], "ord", metrics, 3, config, log) # number of tenants
self.assertIsNone(perform_sequence(seq, eff))
log.msg.assert_called_once_with(
"total desired: {td}, total_actual: {ta}, total pending: {tp}", td=112, ta=29, tp=1
)
