kubernetes.client.models.v1_controller_revision 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.v1_controller_revision.V1ControllerRevision(*, api_version: Annotated[str, Strict(strict=True)] | None = None, data: Dict[str, Any] | None = None, kind: Annotated[str, Strict(strict=True)] | None = None, metadata: V1ObjectMeta | None = None, revision: Annotated[int, Strict(strict=True)])

Bases: BaseModel

ControllerRevision implements an immutable snapshot of state data. Clients are responsible for serializing and deserializing the objects that contain their internal state. Once a ControllerRevision has been successfully created, it can not be updated. The API Server will fail validation of all requests that attempt to mutate the Data field. ControllerRevisions may, however, be deleted. Note that, due to its use by both the DaemonSet and StatefulSet controllers for update and rollback, this object is beta. However, it may be subject to name and representation changes in future releases, and clients should not depend on its stability. It is primarily for internal use by controllers.

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', 'data': 'data', 'kind': 'kind', 'metadata': 'metadata', 'revision': 'revision'}

data: Dict[str, Any] | None

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

Create an instance of V1ControllerRevision from a dict

classmethod from_json(json_str: str) → Self | None

Create an instance of V1ControllerRevision 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', 'data': 'object', 'kind': 'str', 'metadata': 'V1ObjectMeta', 'revision': 'int'}

revision: StrictInt

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