Module adcp.types.domains.core.destination

Classes

class Destination1 (**data: Any)
Expand source code 
class Destination1(AdCPBaseModel):
    model_config = ConfigDict(
        extra='allow',
    )
    type: Annotated[
        Literal['platform'],
        Field(description='Discriminator indicating this is a platform-based deployment'),
    ] = 'platform'
    platform: Annotated[
        str,
        Field(description="Platform identifier for DSPs (e.g., 'the-trade-desk', 'amazon-dsp')"),
    ]
    account: Annotated[
        str | None, Field(description='Optional account identifier on the platform')
    ] = 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

Class variables

var account : str | None
var model_config
var platform : str
var type : Literal['platform']

Inherited members

class Destination2 (**data: Any)
Expand source code 
class Destination2(AdCPBaseModel):
    model_config = ConfigDict(
        extra='allow',
    )
    type: Annotated[
        Literal['agent'],
        Field(description='Discriminator indicating this is an agent URL-based deployment'),
    ] = 'agent'
    agent_url: Annotated[
        AnyUrl, Field(description='URL identifying the deployment agent (for sales agents, etc.)')
    ]
    account: Annotated[
        str | None, Field(description='Optional account identifier on the agent')
    ] = 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

Class variables

var account : str | None
var agent_url : pydantic.networks.AnyUrl
var model_config
var type : Literal['agent']

Inherited members