kubernetes.client.models.v1_label_selector 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.V1LabelSelector(*, match_expressions: List[V1LabelSelectorRequirement] | None = None, match_labels: Dict[str, Annotated[str, Strict(strict=True)]] | None = None)

Bases: BaseModel

A label selector is a label query over a set of resources. The result of matchLabels and matchExpressions are ANDed. An empty label selector matches all objects. A null label selector matches no objects.

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]] = {'match_expressions': 'matchExpressions', 'match_labels': 'matchLabels'}

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

Create an instance of V1LabelSelector from a dict

classmethod from_json(json_str: str) → Self | None

Create an instance of V1LabelSelector from a JSON string

match_expressions: List[V1LabelSelectorRequirement] | None

match_labels: Dict[str, StrictStr] | 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]] = {'match_expressions': 'List[V1LabelSelectorRequirement]', 'match_labels': 'Dict[str, str]'}

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