Module adcp.types.domains.error_details.account_moved
Classes
class AccountMovedDetails (**data: Any)-
Expand source code
class AccountMovedDetails(AdCPBaseModel): model_config = ConfigDict( extra='allow', ) current_account: Annotated[ canonical_account_ref.CanonicalAccountReference, Field( description='Current canonical reference. Buyer-declared account sellers return the complete current natural key; account-id namespaces may return account_id.' ), ] revision: Annotated[ SchemaInt | None, Field( description='Current account revision when the seller exposes account revisions.', ge=1 ), ] = 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 current_account : CanonicalAccountReference1 | CanonicalAccountReference2var model_configvar revision : int | None
Inherited members