kubernetes.client.models.v2_resource_metric_source 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_resource_metric_source.V2ResourceMetricSource(*, name: Annotated[str, Strict(strict=True)], target: V2MetricTarget)

Bases: BaseModel

ResourceMetricSource indicates how to scale on a resource metric known to Kubernetes, as specified in requests and limits, describing each pod in the current scale target (e.g. CPU or memory). The values will be averaged together before being compared to the target. Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the “pods” source. Only one “target” type should be set.

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]] = {'name': 'name', 'target': 'target'}

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

Create an instance of V2ResourceMetricSource from a dict

classmethod from_json(json_str: str) → Self | None

Create an instance of V2ResourceMetricSource 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].

name: StrictStr

openapi_types: ClassVar[Dict[str, str]] = {'name': 'str', 'target': 'V2MetricTarget'}

target: V2MetricTarget

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