plexus.dashboard.api.models.score module

Score Model - Python representation of the GraphQL Score type.

Represents a scoring method within a scorecard section, tracking: - Configuration and metadata - AI model details - Performance metrics - Version history

class plexus.dashboard.api.models.score.Score(id: str, name: str, key: str, externalId: str, type: str, order: int, sectionId: str, accuracy: float | None = None, version: str | None = None, aiProvider: str | None = None, aiModel: str | None = None, isFineTuned: bool | None = None, configuration: Dict | None = None, distribution: Dict | None = None, versionHistory: Dict | None = None, client: plexus.dashboard.api.client._BaseAPIClient | None = None)

Bases: BaseModel

__init__(id: str, name: str, key: str, externalId: str, type: str, order: int, sectionId: str, accuracy: float | None = None, version: str | None = None, aiProvider: str | None = None, aiModel: str | None = None, isFineTuned: bool | None = None, configuration: Dict | None = None, distribution: Dict | None = None, versionHistory: Dict | None = None, client: _BaseAPIClient | None = None)

accuracy: float | None = None

aiModel: str | None = None

aiProvider: str | None = None

configuration: Dict | None = None

distribution: Dict | None = None

externalId: str

classmethod fields() → str

Return the GraphQL fields to query for this model

classmethod from_dict(data: Dict[str, Any], client: _BaseAPIClient) → Score

Create an instance from a dictionary of data

classmethod get_by_external_id(external_id: str, scorecard_id: str, client: _BaseAPIClient) → Score | None

Get a score by its external ID

classmethod get_by_id(id: str, client: _BaseAPIClient) → Score

classmethod get_by_key(key: str, scorecard_id: str, client: _BaseAPIClient) → Score | None

Get a score by its key

classmethod get_by_name(name: str, scorecard_id: str, client: _BaseAPIClient) → Score | None

Get a score by its name

isFineTuned: bool | None = None

key: str

classmethod list_by_section_id(section_id: str, client: _BaseAPIClient, next_token: str | None = None, limit: int = 100) → Dict[str, Any]

Get all scores for a section with pagination support

Returns:

Dict containing:

• items: List of Score objects

• nextToken: Token for next page if more results exist

name: str

order: int

sectionId: str

type: str

version: str | None = None

versionHistory: Dict | None = None