kubernetes.client.models.v2_external_metric_source module

Kubernetes

No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)

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_external_metric_source.V2ExternalMetricSource(*, metric: V2MetricIdentifier, target: V2MetricTarget)

Bases: BaseModel

ExternalMetricSource indicates how to scale on a metric not associated with any Kubernetes object (for example length of queue in cloud messaging service, or QPS from loadbalancer running outside of cluster).

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

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

Create an instance of V2ExternalMetricSource from a dict

classmethod from_json(json_str: str) → Self | None

Create an instance of V2ExternalMetricSource from a JSON string

metric: V2MetricIdentifier

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]] = {'metric': 'V2MetricIdentifier', '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