Module adcp.types.generated_poc.governance.audience_constraints
Classes
class AudienceConstraints (**data: Any)-
Expand source code
class AudienceConstraints(AdCPBaseModel): model_config = ConfigDict( extra='forbid', ) 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 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, ), ] = NoneBase 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 setadditionalProperties: trueoverride this withextra='allow'in their ownmodel_config. Consumers who want strict validation can override withextra='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.selfis explicitly positional-only to allowselfas a field name.Ancestors
- AdCPBaseModel
- pydantic.main.BaseModel
Class variables
var exclude : list[AudienceSelector] | Nonevar include : list[AudienceSelector] | Nonevar model_config
Inherited members