kubernetes.client.models.v2_hpa_scaling_rules module

Kubernetes

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The version of the OpenAPI document: release-1.36 Generated by OpenAPI Generator (https://openapi-generator.tech)

Do not edit the class manually.

class kubernetes.client.models.v2_hpa_scaling_rules.V2HPAScalingRules(*, policies: List[V2HPAScalingPolicy] | None = None, select_policy: Annotated[str, Strict(strict=True)] | None = None, stabilization_window_seconds: Annotated[int, Strict(strict=True)] | None = None, tolerance: Annotated[str, Strict(strict=True)] | None = None)

Bases: BaseModel

HPAScalingRules configures the scaling behavior for one direction via scaling Policy Rules and a configurable metric tolerance. Scaling Policy Rules are applied after calculating DesiredReplicas from metrics for the HPA. They can limit the scaling velocity by specifying scaling policies. They can prevent flapping by specifying the stabilization window, so that the number of replicas is not set instantly, instead, the safest value from the stabilization window is chosen. The tolerance is applied to the metric values and prevents scaling too eagerly for small metric variations. (Note that setting a tolerance requires the beta HPAConfigurableTolerance feature gate to be enabled.)

Attributes:

openapi_types (dict): The key is attribute name

and the value is attribute type.

attribute_map (dict): The key is attribute name

and the value is json key in definition.

attribute_map: ClassVar[Dict[str, str]] = {'policies': 'policies', 'select_policy': 'selectPolicy', 'stabilization_window_seconds': 'stabilizationWindowSeconds', 'tolerance': 'tolerance'}

classmethod from_dict(obj: Dict[str, Any] | None) → Self | None

Create an instance of V2HPAScalingRules from a dict

classmethod from_json(json_str: str) → Self | None

Create an instance of V2HPAScalingRules from a JSON string

model_config = {'extra': 'forbid', 'protected_namespaces': (), 'validate_assignment': True, 'validate_by_alias': True, 'validate_by_name': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

openapi_types: ClassVar[Dict[str, str]] = {'policies': 'List[V2HPAScalingPolicy]', 'select_policy': 'str', 'stabilization_window_seconds': 'int', 'tolerance': 'str'}

policies: List[V2HPAScalingPolicy] | None

select_policy: StrictStr | None

stabilization_window_seconds: StrictInt | None

to_dict(serialize: bool = False) → Dict[str, Any]

Return all declared model fields using public or wire names.

to_json() → str

Returns the JSON representation of the model using alias

to_str() → str

Returns the string representation of the model

tolerance: StrictStr | None