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_predictive(mocker: Mock) -> None:
# 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)),
)
with current_host("unittest"), current_service(
CheckPluginName("cpu_loads"), "item"):
assert list(
check_cpu_load(
{
"levels": {
"period": "minute",
"horizon": 1,
"levels_upper": ("absolute", (2.0, 4.0)),
}
},
Section(
load=Load(0.5, 1.0, 1.5),
num_cpus=4,
threads=Threads(count=123),
),
)
) == [
Result(
state=State.OK,
summary="15 min load: 1.50 (no reference for prediction yet)"),
Metric("load15", 1.5,
levels=(2.2, 4.2)), # those are the predicted values
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)),
]
def test_cpu_threads():
section = Section(load=Load(0.1, 0.1, 0.1), num_cpus=4, num_threads=1234)
params: Dict[str, Any] = {}
result = set(check_cpu_threads(params, section))
assert result == {
Metric("threads", 1234.0),
Result(state=State.OK, summary="1234"),
}
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_cpu_threads_max_threads():
section = Section(load=Load(0.1, 0.1, 0.1),
num_cpus=4,
num_threads=1234,
max_threads=2468)
params: Dict[str, Any] = {}
result = set(check_cpu_threads(params, section))
assert result == {
Metric('thread_usage', 50.0),
Metric('threads', 1234.0),
Result(state=State.OK, summary='1234'),
Result(state=State.OK, summary='Usage: 50.00%')
}
def test_parse_statgrab_load() -> None:
assert parse_statgrab_load([
["min1", "2.500000"],
["min15", "5.898438"],
["min5", "4.191406"],
]) == Section(
load=Load(
load1=2.500000,
load5=4.191406,
load15=5.898438,
),
num_cpus=1,
)
def test_cpu_threads_max_threads():
section = Section(
load=Load(0.1, 0.1, 0.1),
num_cpus=4,
threads=Threads(count=1234, max=2468),
)
params: Dict[str, Any] = {}
result = set(check_cpu_threads(params, section))
assert result == {
Metric("thread_usage", 50.0),
Metric("threads", 1234.0),
Result(state=State.OK, summary="1234"),
Result(state=State.OK, summary="Usage: 50.00%"),
}
def test_cpu_loads_fixed_levels() -> None:
assert list(
check_cpu_load(
{"levels": (2.0, 4.0)},
Section(
load=Load(0.5, 1.0, 1.5),
num_cpus=4,
num_threads=123,
type=ProcessorType.physical,
),
)) == [
Result(state=State.OK, summary="15 min load: 1.50"),
Metric("load15", 1.5,
levels=(8.0, 16.0)), # levels multiplied by num_cpus
Result(state=State.OK,
summary="15 min load per core: 0.38 (4 physical cores)"),
Metric("load1", 0.5, boundaries=(0, 4.0)),
Metric("load5", 1.0, boundaries=(0, 4.0)),
]
"average:",
"0.08,",
"0.07,",
"0.06",
],
[
"32",
"logical",
"processors",
"(4",
"per",
"socket)",
],
],
Section(
load=Load(load1=0.08, load5=0.07, load15=0.06),
num_cpus=32,
),
id="with number of cpus",
),
pytest.param(
[[
"10:44am",
"up",
"239",
"days,",
"19:28,",
"6",
"users,",
"load",
"average:",
"0.05,",
# conditions defined in the file COPYING, which is part of this source code package.
import pytest
from cmk.base.plugins.agent_based.agent_based_api.v1.type_defs import StringTable
from cmk.base.plugins.agent_based.ucd_cpu_load import parse_ucd_cpu_load
from cmk.base.plugins.agent_based.utils.cpu import Load, Section
@pytest.mark.parametrize(
["string_table", "expected_section"],
[
pytest.param(
[["312", "3.123213"], ["280", "2.78897"], ["145", "1.34563546"]],
Section(
load=Load(load1=3.123213, load5=2.78897, load15=1.34563546),
num_cpus=1,
),
id="complete dataset",
),
pytest.param(
[["", "5,234"], ["234", ""], ["", ""]],
Section(
load=Load(load1=5.234, load5=2.34, load15=0),
num_cpus=1,
),
id="data missing",
),
],
)
def test_parse_ucd_cpu_load(string_table: StringTable,
expected_section: Section) -> None:
