bayesline.api.SettingInvalid

class bayesline.api.SettingInvalid(name: str, id: int, owner: str, raw_json: Mapping[str, Any], issues: Sequence[str], missing_refs: Sequence[str | int] = (), description: str | None = None, kind: Literal['invalid'] = 'invalid') → None

A settings result that exists but is invalid.

Possible reasons for invalidity: - the underlying json is invalid - the setting has references to settings that do not exist - the setting has references to settings that are invalid - the setting does not validate against the settings menu

description is registry-level metadata (a peer of the name, not part of the settings payload), so it is available even though the payload itself does not parse.

__init__(name: str, id: int, owner: str, raw_json: Mapping[str, Any], issues: Sequence[str], missing_refs: Sequence[str | int] = (), description: str | None = None, kind: Literal['invalid'] = 'invalid') → None

Methods

__init__(name, id, owner, raw_json, issues)

Attributes

description
kind
missing_refs
name
id
owner
raw_json
issues

name: str

id: int

owner: str

raw_json: Mapping[str, Any]

issues: Sequence[str]

missing_refs: Sequence[str | int] = ()

description: str | None = None

kind: Literal['invalid'] = 'invalid'

__init__(name: str, id: int, owner: str, raw_json: Mapping[str, Any], issues: Sequence[str], missing_refs: Sequence[str | int] = (), description: str | None = None, kind: Literal['invalid'] = 'invalid') → None