Module adcp.types.generated_poc.creative.creative_feature_result

Classes

class CreativeFeatureResult (**data: Any)

Expand source code

class CreativeFeatureResult(AdCPBaseModel):
    model_config = ConfigDict(
        extra='forbid',
    )
    feature_id: Annotated[
        str,
        Field(
            description="The feature that was evaluated (e.g., 'auto_redirect', 'brand_consistency'). Features prefixed with 'registry:' reference standardized policies from the shared policy registry (e.g., 'registry:eu_ai_act_article_50'). Unprefixed feature IDs are agent-defined."
        ),
    ]
    value: Annotated[
        bool | float | str,
        Field(
            description='The feature value. Type depends on feature definition: boolean for binary, number for quantitative, string for categorical.'
        ),
    ]
    unit: Annotated[
        str | None,
        Field(
            description="Unit of measurement for quantitative values (e.g., 'percentage', 'score')"
        ),
    ] = None
    confidence: Annotated[
        float | None, Field(description='Confidence score for this value (0-1)', ge=0.0, le=1.0)
    ] = None
    measured_at: Annotated[
        AwareDatetime | None, Field(description='When this feature was evaluated')
    ] = None
    expires_at: Annotated[
        AwareDatetime | None,
        Field(description='When this evaluation expires and should be refreshed'),
    ] = None
    methodology_version: Annotated[
        str | None, Field(description='Version of the methodology used to evaluate this feature')
    ] = None
    details: Annotated[
        dict[str, Any] | None,
        Field(description='Additional vendor-specific details about this evaluation'),
    ] = None
    ext: ext_1.ExtensionObject | None = None

Base model for AdCP types with spec-compliant serialization.

Defaults to extra='ignore' so that unknown fields from newer spec versions are silently dropped rather than causing validation errors. Generated types whose schemas set additionalProperties: true override this with extra='allow' in their own model_config. Consumers who want strict validation can override with extra='forbid'.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

• AdCPBaseModel
• pydantic.main.BaseModel

Class variables

var confidence : float | None

var details : dict[str, typing.Any] | None

var expires_at : pydantic.types.AwareDatetime | None

var ext : ExtensionObject | None

var feature_id : str

var measured_at : pydantic.types.AwareDatetime | None

var methodology_version : str | None

var model_config

var unit : str | None

var value : bool | float | str

Inherited members

• AdCPBaseModel:
  • model_dump
  • model_dump_json
  • model_summary