Module adcp.types.domains.governance.audience_constraints

Classes

class AudienceConstraints (**data: Any)
Expand source code
class AudienceConstraints(AdCPBaseModel):
    model_config = ConfigDict(
        extra='forbid',
    )
    include: Annotated[
        list[audience_selector.AudienceSelector] | None,
        Field(
            description="Desired audience criteria. The seller's targeting should align with these. Each criterion is evaluated independently — the combined targeting should satisfy at least one inclusion criterion.",
            min_length=1,
        ),
    ] = None
    exclude: Annotated[
        list[audience_selector.AudienceSelector] | None,
        Field(
            description="Excluded audience criteria. The seller's targeting must not overlap with these. Exclusions take precedence over inclusions. Used for protected groups, vulnerable communities, regulatory restrictions, or brand safety.",
            min_length=1,
        ),
    ] = 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

Class variables

var exclude : list[AudienceSelector1 | AudienceSelector2 | AudienceSelector3 | AudienceSelector4] | None
var include : list[AudienceSelector1 | AudienceSelector2 | AudienceSelector3 | AudienceSelector4] | None
var model_config

Inherited members