Module adcp.types.domains.media_buy.acceptance_context

Classes

class AcceptanceContext (**data: Any)

Expand source code

class AcceptanceContext(AdCPBaseModel):
    model_config = ConfigDict(
        extra='forbid',
    )
    subjects: Annotated[list[Subject] | None, Field(min_length=1)] = None
    advertiser_roles: Annotated[list[AdvertiserRole] | None, Field(min_length=1)] = None
    advertiser_industry: advertiser_industry_1.AdvertiserIndustry | None = None
    advertiser_jurisdictions: Annotated[
        list[AdvertiserJurisdiction] | None,
        Field(
            description='Jurisdictions in which the advertiser is established or legally organized. This is distinct from where an ad will be delivered.',
            min_length=1,
        ),
    ] = None
    delivery_jurisdictions: Annotated[
        list[DeliveryJurisdiction] | None,
        Field(
            description="Jurisdictions in which the proposed advertising will be delivered. Seller acceptance rules' jurisdictions and jurisdiction_groups match this field.",
            min_length=1,
        ),
    ] = None
    ext: ext_1.ExtensionObject | None = 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

• AdCPBaseModel
• pydantic.main.BaseModel

Class variables

var advertiser_industry : AdvertiserIndustry | None

var advertiser_jurisdictions : list[AdvertiserJurisdiction] | None

var advertiser_roles : list[AdvertiserRole] | None

var delivery_jurisdictions : list[DeliveryJurisdiction] | None

var ext : ExtensionObject | None

var model_config

var subjects : list[Subject] | None

Inherited members

• AdCPBaseModel:
  • model_dump
  • model_dump_json
  • model_summary

class AdvertiserJurisdiction (value: Any = <object object>, *, root: Any = <object object>)

Expand source code

class AdvertiserJurisdiction(ScalarStr):
    __slots__ = ()
    _constraints = {'pattern': '^[A-Z]{2}$'}

A str generated from a JSON Schema string root.

Ancestors

• adcp.types._scalar.ScalarStr
• adcp.types._scalar._ScalarRoot
• builtins.str

Subclasses

• DeliveryJurisdiction

class AdvertiserRole (value: Any = <object object>, *, root: Any = <object object>)

Expand source code

class AdvertiserRole(SubjectFacet):
    pass

A str generated from a JSON Schema string root.

Ancestors

• SubjectFacet
• adcp.types._scalar.ScalarStr
• adcp.types._scalar._ScalarRoot
• builtins.str

class DeliveryJurisdiction (value: Any = <object object>, *, root: Any = <object object>)

Expand source code

class DeliveryJurisdiction(AdvertiserJurisdiction):
    pass

A str generated from a JSON Schema string root.

Ancestors

• AdvertiserJurisdiction
• adcp.types._scalar.ScalarStr
• adcp.types._scalar._ScalarRoot
• builtins.str

class Subject (**data: Any)

Expand source code

class Subject(AdCPBaseModel):
    model_config = ConfigDict(
        extra='forbid',
    )
    subject_category: Annotated[str, Field(pattern='^[a-z][a-z0-9_]*$')]
    subject_facets: Annotated[list[SubjectFacet] | None, Field(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

• AdCPBaseModel
• pydantic.main.BaseModel

Class variables

var model_config

var subject_category : str

var subject_facets : list[SubjectFacet] | None

Inherited members

• AdCPBaseModel:
  • model_dump
  • model_dump_json
  • model_summary

class SubjectFacet (value: Any = <object object>, *, root: Any = <object object>)

Expand source code

class SubjectFacet(ScalarStr):
    __slots__ = ()
    _constraints = {'pattern': '^[a-z][a-z0-9_]*$'}

A str generated from a JSON Schema string root.

Ancestors

• adcp.types._scalar.ScalarStr
• adcp.types._scalar._ScalarRoot
• builtins.str

Subclasses

• AdvertiserRole