Module adcp.types.domains.core.identifier
Classes
class Identifier (**data: Any)-
Expand source code
class Identifier(AdCPBaseModel): model_config = ConfigDict( extra='forbid', ) type: Annotated[ identifier_types.PropertyIdentifierTypes, Field(description='Type of identifier') ] value: Annotated[ str, Field( description="The identifier value. For domain type: 'example.com' matches base domain plus www and m subdomains; 'edition.example.com' matches that specific subdomain; '*.example.com' matches ALL subdomains but NOT base domain" ), ]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 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 model_configvar type : PropertyIdentifierTypesvar value : str
Inherited members