def test_cpu_loads_predictive(mocker):
# make sure cpu_load check can handle predictive values
mocker.patch("cmk.base.check_api._prediction.get_levels",
return_value=(None, (2.2, 4.2, None, None)))
# TODO: don't mock this. Use the context managers.
mocker.patch("cmk.base.plugin_contexts._hostname", value="unittest")
mocker.patch("cmk.base.plugin_contexts._service_description",
value="unittest-sd")
params = {
'levels': {
'period': 'minute',
'horizon': 1,
'levels_upper': ('absolute', (2.0, 4.0))
}
}
section = Section(load=Load(0.5, 1.0, 1.5), num_cpus=4, num_threads=123)
result = set(check_cpu_load(params, section))
assert result == set((
Result(state=State.OK,
summary='15 min load: 1.50 (no reference for prediction yet)'),
Result(state=State.OK, summary='15 min load per core: 0.38 (4 cores)'),
Metric('load1', 0.5, boundaries=(0, 4.0)),
Metric('load5', 1.0, boundaries=(0, 4.0)),
Metric('load15', 1.5,
levels=(2.2, 4.2)), # those are the predicted values
))
def test_cpu_loads_fixed_levels(mocker):
section = Section(load=Load(0.5, 1.0, 1.5), num_cpus=4, num_threads=123)
params = {'levels': (2.0, 4.0)}
result = set(check_cpu_load(params, section))
assert result == set((
Result(state=State.OK, summary='15 min load: 1.50'),
Result(state=State.OK, summary='15 min load per core: 0.38 (4 cores)'),
Metric('load1', 0.5, boundaries=(0, 4.0)),
Metric('load5', 1.0, boundaries=(0, 4.0)),
Metric('load15', 1.5, levels=(8.0, 16.0)), # levels multiplied by num_cpus
))
def test_basic_cpu_loads():
section = parse_cpu(STRING_TABLE) # type: ignore[arg-type]
assert section
result = list(
check_cpu_load(
params={"levels": (5.0, 10.0)},
section=section,
))
assert result == [
Result(state=State.OK, summary="15 min load: 0.87"),
Metric("load15", 0.87, levels=(40.0, 80.0)),
Result(state=State.OK, summary="15 min load per core: 0.11 (8 cores)"),
Metric("load1", 0.88, boundaries=(0.0, 8.0)),
Metric("load5", 0.83, boundaries=(0.0, 8.0)),
]