kubernetes.client.models.v1_label_selector_attributes 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_label_selector_attributes.V1LabelSelectorAttributes(*, raw_selector: Annotated[str, Strict(strict=True)] | None = None, requirements: List[V1LabelSelectorRequirement] | None = None)

Bases: BaseModel

LabelSelectorAttributes indicates a label limited access. Webhook authors are encouraged to * ensure rawSelector and requirements are not both set * consider the requirements field if set * not try to parse or consider the rawSelector field if set. This is to avoid another CVE-2022-2880 (i.e. getting different systems to agree on how exactly to parse a query is not something we want), see https://www.oxeye.io/resources/golang-parameter-smuggling-attack for more details. For the *SubjectAccessReview endpoints of the kube-apiserver: * If rawSelector is empty and requirements are empty, the request is not limited. * If rawSelector is present and requirements are empty, the rawSelector will be parsed and limited if the parsing succeeds. * If rawSelector is empty and requirements are present, the requirements should be honored * If rawSelector is present and requirements are present, the request is invalid.

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]] = {'raw_selector': 'rawSelector', 'requirements': 'requirements'}

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

Create an instance of V1LabelSelectorAttributes from a dict

classmethod from_json(json_str: str) → Self | None

Create an instance of V1LabelSelectorAttributes 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]] = {'raw_selector': 'str', 'requirements': 'List[V1LabelSelectorRequirement]'}

raw_selector: StrictStr | None

requirements: List[V1LabelSelectorRequirement] | None

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