def _parameter_valuespec():
return Dictionary(
help=_((
"This ruleset is relevant for Kubernetes replicas. You can set "
"a maximum allowed duration during which replicas may be in a not "
"ready or not up-to-date state. Keep in mind that replicas may "
"temporarily be in these states during the process of an update. "
"Therefore, it is recommended to always have a grace period "
"configured.")),
elements=[
("update_duration", age_levels_dropdown(_("Update duration"))),
("not_ready_duration",
age_levels_dropdown(_("Not ready duration"))),
],
)
def _parameter_valuespec_kube_pod_status(sections: Sequence[Section]):
elements: List[Tuple[str, CascadingDropdown]] = []
for options, default_choice in sections:
elements.extend(
(option,
age_levels_dropdown(option, default_choice=default_choice))
for option in options)
elements.append((
"other",
age_levels_dropdown(title="Other", default_choice="no_levels"),
))
return lambda: Dictionary(
title=_("Interpretation of pod status"),
help=
_("Map the Kubernetes pod status shown in the summary to an upper level of its age. "
"In order the configure pod statuses not within the list below, use the 'Other' option."
),
elements=elements,
)
def _parameter_valuespec():
return Dictionary(
help=_(
(
"A pod's status depends on an array of conditions through which the"
" Pod has or has not yet passed. You can set a time for how long a condition"
" is allowed to be in a failed state before the check alerts."
)
),
elements=[
("scheduled", age_levels_dropdown(_("Time until alert, if pod not scheduled"))),
("initialized", age_levels_dropdown(_("Time until alert, if pod not initialized"))),
(
"containersready",
age_levels_dropdown(_("Time until alert, if pod's containers not ready")),
),
("ready", age_levels_dropdown(_("Time until alert, if pod not ready"))),
],
optional_keys=["initialized", "scheduled", "containersready", "ready"],
)
def _parameter_valuespec():
return Dictionary(
help=_(
(
"A Deployment enters various states during its lifecycle. Depending on this a "
"Deployment may present different conditions. You can set a time for how long "
"a condition is allowed to be in a certain state before the check alerts."
)
),
elements=[
(
"progressing",
age_levels_dropdown(_("Time until alert, if deployment not in progressing")),
),
("available", age_levels_dropdown(_("Time until alert, if deployment not available"))),
(
"replicafailure",
age_levels_dropdown(_("Time until alert, if deployment in replica failure")),
),
],
optional_keys=["progressing", "available", "replicafailure"],
)
def _parameter_valuespec():
return Dictionary(
help=_((
"This ruleset is relevant for Kubernetes replicas. You can set "
"a maximum allowed duration during which replicas may be in a not "
"ready or not up-to-date state. For DaemonSets, you may "
"additionally specify the duration for which there may be a "
"positive number of misscheduled replicas. Keep in mind that replicas "
"may temporarily be in these states during the process of an "
"update. Therefore, it is recommended to always have a grace "
"period configured.")),
elements=[
("update_duration", age_levels_dropdown(_("Update duration"))),
("not_ready_duration",
age_levels_dropdown(_("Not ready duration"))),
(
"misscheduled_duration",
age_levels_dropdown(
_("Misscheduled duration (DaemonSet only)")),
),
],
)
def __element():
return Tuple(elements=[
age_levels_dropdown(),
ListOf(
valuespec=RegExp(
mode=RegExp.infix,
title=_("Status"),
allow_empty=False,
size=50,
),
add_label=_("Add new status"),
allow_empty=False,
movable=False,
help=RegExp(mode=RegExp.infix).help(),
),
], )