ClusterResponseClusterDetails¶
- class openapi_client.models.cluster_response_cluster_details.ClusterResponseClusterDetails(**data)[source]¶
Bases:
BaseModel- name: Optional[StrictStr]¶
- type: Optional[StrictStr]¶
- status: Optional[StrictStr]¶
- address: Optional[StrictStr]¶
- port: Optional[StrictInt]¶
- numebrof_nodes: Optional[StrictInt]¶
- capacity: Optional[StrictInt]¶
- node_type: Optional[StrictStr]¶
- creation_date: Optional[StrictStr]¶
- state: Optional[StrictStr]¶
- health: Optional[StrictStr]¶
- endpoints: Optional[StrictStr]¶
- version: Optional[StrictStr]¶
- cluster_config: Optional[ClusterResponseClusterDetailsClusterConfig]¶
- model_config: ClassVar[ConfigDict] = {'populate_by_name': True, 'protected_namespaces': (), 'validate_assignment': True}¶
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
- classmethod from_json(json_str)[source]¶
Create an instance of ClusterResponseClusterDetails from a JSON string
- Return type:
Optional[Self]
- to_dict()[source]¶
Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic’s self.model_dump(by_alias=True):
None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.
- Return type:
Dict[str,Any]
- classmethod from_dict(obj)[source]¶
Create an instance of ClusterResponseClusterDetails from a dict
- Return type:
Optional[Self]
- model_fields: ClassVar[dict[str, FieldInfo]] = {'address': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='Address', alias_priority=2), 'capacity': FieldInfo(annotation=Union[Annotated[int, Strict(strict=True)], NoneType], required=False, alias='Capacity', alias_priority=2), 'cluster_config': FieldInfo(annotation=Union[ClusterResponseClusterDetailsClusterConfig, NoneType], required=False, alias='ClusterConfig', alias_priority=2), 'creation_date': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CreationDate', alias_priority=2), 'endpoints': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='Endpoints', alias_priority=2), 'health': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='Health', alias_priority=2), 'name': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='Name', alias_priority=2), 'node_type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='NodeType', alias_priority=2), 'numebrof_nodes': FieldInfo(annotation=Union[Annotated[int, Strict(strict=True)], NoneType], required=False, alias='NumebrofNodes', alias_priority=2), 'port': FieldInfo(annotation=Union[Annotated[int, Strict(strict=True)], NoneType], required=False, alias='Port', alias_priority=2), 'state': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='State', alias_priority=2), 'status': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='Status', alias_priority=2), 'type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='Type', alias_priority=2), 'version': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='Version', alias_priority=2)}¶
Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].
This replaces Model.__fields__ from Pydantic V1.
- model_post_init(__context)¶
This function is meant to behave like a BaseModel method to initialise private attributes.
It takes context as an argument since that’s what pydantic-core passes when calling it.
- Parameters:
self (
BaseModel) – The BaseModel instance.__context (
Any) – The context.
- Return type:
None