UserPreferences

class openapi_client.models.user_preferences.UserPreferences(**data)[source]

Bases: BaseModel

bookmarks: Optional[List[StrictStr]]
custom_tags: Optional[UserPreferencesCustomTags]
full_name: Optional[StrictStr]
quick_actions: Optional[List[StrictStr]]
results_per_page: Optional[StrictInt]
sort_by: Optional[StrictStr]
sort_order: Optional[StrictStr]
user_language: 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 UserPreferences 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 UserPreferences from a dict

Return type:

Optional[Self]

model_fields: ClassVar[dict[str, FieldInfo]] = {'bookmarks': FieldInfo(annotation=Union[List[Annotated[str, Strict(strict=True)]], NoneType], required=False), 'custom_tags': FieldInfo(annotation=Union[UserPreferencesCustomTags, NoneType], required=False, alias='customTags', alias_priority=2), 'full_name': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='fullName', alias_priority=2), 'quick_actions': FieldInfo(annotation=Union[List[Annotated[str, Strict(strict=True)]], NoneType], required=False, alias='quickActions', alias_priority=2), 'results_per_page': FieldInfo(annotation=Union[Annotated[int, Strict(strict=True)], NoneType], required=False, alias='resultsPerPage', alias_priority=2), 'sort_by': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='sortBy', alias_priority=2), 'sort_order': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='sortOrder', alias_priority=2), 'user_language': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='userLanguage', 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