UpdateSystemConfiguration

class openapi_client.models.update_system_configuration.UpdateSystemConfiguration(**data)

Bases: BaseModel

ipv4_addresses: Optional[List[StrictStr]]

ipv6_addresses: Optional[List[StrictStr]]

domains: Optional[List[StrictStr]]

logs_retention_period: Optional[StrictStr]

previous_object_versions_retention_period: Optional[StrictStr]

retain_forever: Optional[StrictStr]

notebook_instance_types: Optional[List[StrictStr]]

proxy_domain: Optional[List[StrictStr]]

tags: Optional[Dict[str, Any]]

log_level: Optional[StrictStr]

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].

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of UpdateSystemConfiguration from a JSON string

Return type:

Optional[Self]

to_dict()

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)

Create an instance of UpdateSystemConfiguration from a dict

Return type:

Optional[Self]

model_fields: ClassVar[dict[str, FieldInfo]] = {'domains': FieldInfo(annotation=Union[List[Annotated[str, Strict(strict=True)]], NoneType], required=False, alias='Domains', alias_priority=2), 'ipv4_addresses': FieldInfo(annotation=Union[List[Annotated[str, Strict(strict=True)]], NoneType], required=False, alias='IPV4Addresses', alias_priority=2), 'ipv6_addresses': FieldInfo(annotation=Union[List[Annotated[str, Strict(strict=True)]], NoneType], required=False, alias='IPV6Addresses', alias_priority=2), 'log_level': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='LogLevel', alias_priority=2), 'logs_retention_period': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='LogsRetentionPeriod', alias_priority=2), 'notebook_instance_types': FieldInfo(annotation=Union[List[Annotated[str, Strict(strict=True)]], NoneType], required=False, alias='NotebookInstanceTypes', alias_priority=2), 'previous_object_versions_retention_period': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='PreviousObjectVersionsRetentionPeriod', alias_priority=2), 'proxy_domain': FieldInfo(annotation=Union[List[Annotated[str, Strict(strict=True)]], NoneType], required=False, alias='proxy-domain', alias_priority=2), 'retain_forever': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='RetainForever', alias_priority=2), 'tags': FieldInfo(annotation=Union[Dict[str, Any], NoneType], required=False, alias='Tags', 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