Module adcp.types.domains.core.talent
Classes
class Talent (**data: Any)-
Expand source code
class Talent(AdCPBaseModel): model_config = ConfigDict( extra='allow', ) role: Annotated[ talent_role.TalentRole, Field(description='Role of this person on the collection or installment'), ] name: Annotated[str, Field(description="Person's name as credited on the collection")] brand_url: Annotated[ AnyUrl | None, Field( description="URL to this person's brand.json entry. Enables buyer agents to evaluate the talent's brand identity and associations." ), ] = NoneBase 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 setadditionalProperties: trueoverride this withextra='allow'in their ownmodel_config.Set
ADCP_STRICT_VALIDATION=1in the environment ("1","true","yes","on"are accepted) to flip the default toextra='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 adcpruns — mutatingos.environ["ADCP_STRICT_VALIDATION"]after the firstadcpimport 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_configon 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.selfis explicitly positional-only to allowselfas a field name.Ancestors
- AdCPBaseModel
- pydantic.main.BaseModel
Class variables
var brand_url : pydantic.networks.AnyUrl | Nonevar model_configvar name : strvar role : TalentRole
Inherited members