def test_check_bevaviour_if_there_are_unknown_pods(
pending_pods_in_each_check_call: Tuple[PodSequence, ...],
expected_result_in_each_check_call: Tuple[Result, ...],
time_time,
get_value_store,
) -> None:
"""
We simulate multiple calls to check function at different points in time.
expected_result_in_each_check_call corresponds to the Results returned at different points in
time, which are relevant to the behaviour of unknown pods, i.e., check_kube_pod_resources will
return other Results/Metrics, but will only return one Result, which is related to unknown.
"""
for pending_pods, expected_result in zip(
pending_pods_in_each_check_call,
expected_result_in_each_check_call,
# strict=True, would be nice
):
assert (
tuple(
check_kube_pod_resources(
Params(pending="no_levels", free="no_levels"),
PodResources(unknown=pending_pods),
None,
)
)[8]
== expected_result
)
def test_check_phase_duration_with_different_pods(
pending_pods_in_each_check_call: Tuple[PodSequence, ...],
expected_result_in_each_check_call: Tuple[Result, ...],
time_time,
get_value_store,
) -> None:
"""
We simulate multiple calls to check function at different points in time.
expected_result_in_each_check_call corresponds to the Results returned at different points in
time, which are relevant to the behaviour of pending pods, i.e., check_kube_pod_resources will
return other Results/Metrics, but will only return one Result, which is related to pending.
Here we focus on different sequences of pending pods.
"""
params = Params(pending=("levels", (60, 120)),
free_node="no_levels",
free_cluster="no_levels")
for pending_pods, expected_result in zip(
pending_pods_in_each_check_call,
expected_result_in_each_check_call,
# strict=True, would be nice
):
assert (tuple(
check_kube_pod_resources(params,
PodResources(pending=pending_pods),
None))[2] == expected_result)
# strict=True, would be nice
):
assert (
tuple(check_kube_pod_resources(params, PodResources(pending=pending_pods), None))[2]
== expected_result
)
@pytest.mark.parametrize(
"params_in_each_check_call, expected_result_in_each_check_call",
[
pytest.param(
# If the user deactivates a rule and then later activates it again, the phase duration
# should be persistent.
(
Params(pending=("levels", (60, 120)), free="no_levels"),
Params(pending="no_levels", free="no_levels"),
Params(pending=("levels", (60, 120)), free="no_levels"),
),
(
Result(state=State.OK, summary="Pending: 1"),
Result(state=State.OK, summary="Pending: 1"),
Result(
state=State.CRIT,
summary="Pending: 1, thereof 1 (pod) for longer than 2 minutes 0 seconds",
),
),
id="deactivate_levels_and_turn_on_again",
),
pytest.param(
(
):
assert (tuple(
check_kube_pod_resources(params,
PodResources(pending=pending_pods),
None))[2] == expected_result)
@pytest.mark.parametrize(
"params_in_each_check_call, expected_result_in_each_check_call",
[
pytest.param(
# If the user deactivates a rule and then later activates it again, the phase duration
# should be persistent.
(
Params(pending=("levels", (60, 120)),
free_node="no_levels",
free_cluster="no_levels"),
Params(pending="no_levels",
free_node="no_levels",
free_cluster="no_levels"),
Params(pending=("levels", (60, 120)),
free_node="no_levels",
free_cluster="no_levels"),
),
(
Result(state=State.OK, summary="Pending: 1"),
Result(state=State.OK, summary="Pending: 1"),
Result(
state=State.CRIT,
summary=
"Pending: 1, thereof 1 (pod) for longer than 2 minutes 0 seconds",