kubernetes.client.models.v1_config_map_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_config_map_projection.V1ConfigMapProjection(*, items: List[V1KeyToPath] | None = None, name: Annotated[str, Strict(strict=True)] | None = None, optional: Annotated[bool, Strict(strict=True)] | None = None)¶
Bases:
BaseModelAdapts a ConfigMap into a projected volume. The contents of the target ConfigMap’s Data field will be presented in a projected volume as files using the keys in the Data field as the file names, unless the items element is populated with specific mappings of keys to paths. Note that this is identical to a configmap volume source without the default mode.
- 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]] = {'items': 'items', 'name': 'name', 'optional': 'optional'}¶
- classmethod from_dict(obj: Dict[str, Any] | None) Self | None¶
Create an instance of V1ConfigMapProjection from a dict
- classmethod from_json(json_str: str) Self | None¶
Create an instance of V1ConfigMapProjection from a JSON string
- items: List[V1KeyToPath] | 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].
- name: StrictStr | None¶
- openapi_types: ClassVar[Dict[str, str]] = {'items': 'List[V1KeyToPath]', 'name': 'str', 'optional': 'bool'}¶
- optional: StrictBool | 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