kubernetes.client.models.v1alpha2_workload 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.v1alpha2_workload.V1alpha2Workload(*, api_version: Annotated[str, Strict(strict=True)] | None = None, kind: Annotated[str, Strict(strict=True)] | None = None, metadata: V1ObjectMeta | None = None, spec: V1alpha2WorkloadSpec)

Bases: BaseModel

Workload allows for expressing scheduling constraints that should be used when managing the lifecycle of workloads from the scheduling perspective, including scheduling, preemption, eviction and other phases. Workload API enablement is toggled by the GenericWorkload feature gate.

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.

api_version: StrictStr | None

attribute_map: ClassVar[Dict[str, str]] = {'api_version': 'apiVersion', 'kind': 'kind', 'metadata': 'metadata', 'spec': 'spec'}

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

Create an instance of V1alpha2Workload from a dict

classmethod from_json(json_str: str) → Self | None

Create an instance of V1alpha2Workload from a JSON string

kind: StrictStr | None

metadata: V1ObjectMeta | None

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]] = {'api_version': 'str', 'kind': 'str', 'metadata': 'V1ObjectMeta', 'spec': 'V1alpha2WorkloadSpec'}

spec: V1alpha2WorkloadSpec

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