def test_load():
k = KubernetesCluster()
k.load_dir(TEST_CLUSTER_FOLDER)
k._build_state()
objects = filter(lambda x: isinstance(x, DaemonSet), k.state_objects)
for p in objects:
if p.metadata_name == "fluentd-elasticsearch":
assert p.cpuRequest._get_value(
) == util.cpuConvertToAbstractProblem("400m")
assert p.memRequest._get_value(
) == util.memConvertToAbstractProblem("400Mi")
assert p.memLimit._get_value() == util.memConvertToAbstractProblem(
"400Mi")
return
raise ValueError("Could not find service loded")
def test_load_create():
k = KubernetesCluster()
k.load_dir(TEST_CLUSTER_FOLDER)
k.apply_resource(open(TEST_DAEMONSET_APPLY).read())
k._build_state()
objects = filter(lambda x: isinstance(x, DaemonSet), k.state_objects)
for p in objects:
if p.metadata_name == "fluentd-elasticsearch":
assert len(util.objDeduplicatorByName(p.podList._get_value())) == 2
assert p.cpuRequest._get_value(
) == util.cpuConvertToAbstractProblem("10m")
assert p.memRequest._get_value(
) == util.memConvertToAbstractProblem("10Mi")
assert p.memLimit._get_value() == util.memConvertToAbstractProblem(
"10Mi")
return
raise ValueError("Could not find service loded")
def spec_containers__resources_requests_cpu(self, res):
if self.cpuRequest == -1: self.cpuRequest = 0
self.cpuRequest += cpuConvertToAbstractProblem(res)
def spec_template_spec_containers__resources_limits_cpu(self, res):
if self.cpuLimit == -1: self.cpuLimit = 0
self.cpuLimit += cpuConvertToAbstractProblem(res)
def status_allocatable_cpu(self, value):
self.cpuCapacity = cpuConvertToAbstractProblem(value)
def test_convert_cpu_toobig():
try:
x = cpuConvertToAbstractProblem("100000000000m")
except AssertionError:
pass
def test_convert_cpu_toosmall():
try:
x = cpuConvertToAbstractProblem("-1")
except AssertionError:
pass
def test_convert_cpu_normal():
x = cpuConvertToAbstractProblem("500m")
assert x == int(500 / util.CPU_DIVISOR)