AuthorizedUsersGroupsOwnersInner

class openapi_client.models.authorized_users_groups_owners_inner.AuthorizedUsersGroupsOwnersInner(**data)[source]

Bases: BaseModel

is_active: Optional[StrictStr]
group_name: Optional[StrictStr]
group_id: Optional[StrictStr]
group_type: Optional[StrictStr]
group_users: Optional[List[StrictStr]]
is_dataset_level_access_provided: Optional[StrictBool]
update_status: Optional[StrictStr]
status_message: 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()[source]

Returns the string representation of the model using alias

Return type:

str

to_json()[source]

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)[source]

Create an instance of AuthorizedUsersGroupsOwnersInner 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 AuthorizedUsersGroupsOwnersInner from a dict

Return type:

Optional[Self]

model_fields: ClassVar[dict[str, FieldInfo]] = {'group_id': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='GroupId', alias_priority=2), 'group_name': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='GroupName', alias_priority=2), 'group_type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='GroupType', alias_priority=2), 'group_users': FieldInfo(annotation=Union[List[Annotated[str, Strict(strict=True)]], NoneType], required=False, alias='GroupUsers', alias_priority=2), 'is_active': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='IsActive', alias_priority=2), 'is_dataset_level_access_provided': FieldInfo(annotation=Union[Annotated[bool, Strict(strict=True)], NoneType], required=False, alias='IsDatasetLevelAccessProvided', alias_priority=2), 'status_message': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='StatusMessage', alias_priority=2), 'update_status': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='UpdateStatus', 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