Module adcp.types.domains.property.property_feature

Classes

class PropertyFeature (**data: Any)

Expand source code

class PropertyFeature(AdCPBaseModel):
    model_config = ConfigDict(
        extra='forbid',
    )
    feature_id: Annotated[str, Field(description='Identifier for the feature being assessed')]
    value: Annotated[str, Field(description='The feature value')]
    source: Annotated[
        str | None,
        Field(description='Source of the feature data (e.g., app_store_privacy_label, tcf_string)'),
    ] = None

Base model for AdCP types with spec-compliant serialization.

Defaults to extra='ignore' so 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.

Set ADCP_STRICT_VALIDATION=1 in the environment ("1", "true", "yes", "on" are accepted) to flip the default to extra='forbid'. Use this during spec upgrades to catch silently-dropped renamed fields in tests. See :func:_resolve_extra_policy.

Important

The env var is resolved once at module import time. Set it in your shell or CI environment before import adcp runs — mutating os.environ["ADCP_STRICT_VALIDATION"] after the first adcp import has no effect on already-imported model classes (they captured the policy at class-body evaluation).

Consumers who want per-model strict validation can override model_config on their subclass.

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 feature_id : str

var model_config

var source : str | None

var value : str

Inherited members

• AdCPBaseModel:
  • model_dump
  • model_dump_json
  • model_summary