kubernetes.client.models.v1_service_account_token_projection 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_service_account_token_projection.V1ServiceAccountTokenProjection(*, audience: Annotated[str, Strict(strict=True)] | None = None, expiration_seconds: Annotated[int, Strict(strict=True)] | None = None, path: Annotated[str, Strict(strict=True)])

Bases: BaseModel

ServiceAccountTokenProjection represents a projected service account token volume. This projection can be used to insert a service account token into the pods runtime filesystem for use against APIs (Kubernetes API Server or otherwise).

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]] = {'audience': 'audience', 'expiration_seconds': 'expirationSeconds', 'path': 'path'}

audience: StrictStr | None

expiration_seconds: StrictInt | None

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

Create an instance of V1ServiceAccountTokenProjection from a dict

classmethod from_json(json_str: str) → Self | None

Create an instance of V1ServiceAccountTokenProjection 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]] = {'audience': 'str', 'expiration_seconds': 'int', 'path': 'str'}

path: StrictStr

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