bayesline.api.Settings

pydantic model bayesline.api.Settings

Base class for all settings objects.

Show JSON schema

{
   "title": "Settings",
   "description": "Base class for all settings objects.",
   "type": "object",
   "properties": {},
   "additionalProperties": false
}

Config:

• frozen: bool = True

• extra: str = forbid

Validators:

• _strip_unknown_on_load » all fields

abstract property menu_type: type[M]

Get the menu type for this settings object.

Returns

type[M]

The menu type for this settings object.

get_references() → Sequence[str | int]

Get references for this settings object.

Returns

Sequence[str | int]

A sequence of references (strings or integers) for this settings object.

validate_settings(menu: M | None) → None

Validate the settings against the given menu.

Parameters

menuM | None

The menu to validate against. If None, the settings are validated against without having the menu context. This means that less validation is done.

Raises

AttributeError

If the menu type does not match the settings type.

describe(menu: M) → str

Describe the settings.

Parameters

menuM

The menu to use to describe the settings.

Returns

str

A description of the settings.

with_dataset(dataset: str) → DatasetAwareSettings[Self]

Bind this settings object to a dataset.

Parameters

datasetstr

The dataset to scope the settings to.

Returns

DatasetAwareSettings[Self]

A wrapper carrying both the dataset and this settings.