Module adcp.types.generated_poc.deployment
Classes
class Deployment1 (**data: Any)-
Expand source code
class Deployment1(AdCPBaseModel): model_config = ConfigDict( extra='forbid', ) account: Annotated[str | None, Field(description='Account identifier if applicable')] = None activation_key: Annotated[ activation_key_1.ActivationKey1 | activation_key_1.ActivationKey2 | None, Field( description='The key to use for targeting. Only present if is_live=true AND requester has access to this destination.', title='Activation Key', ), ] = None deployed_at: Annotated[ AwareDatetime | None, Field(description='Timestamp when activation completed (if is_live=true)'), ] = None estimated_activation_duration_minutes: Annotated[ float | None, Field( description='Estimated time to activate if not live, or to complete activation if in progress', ge=0.0, ), ] = None is_live: Annotated[ bool, Field(description='Whether signal is currently active on this destination') ] platform: Annotated[str, Field(description='Platform identifier for DSPs')] type: Annotated[ Literal['platform'], Field(description='Discriminator indicating this is a platform-based deployment'), ]Base model for AdCP types with spec-compliant serialization.
AdCP JSON schemas use additionalProperties: false and do not allow null for optional fields. Therefore, optional fields must be omitted entirely when not present (not sent as null).
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 account : str | Nonevar activation_key : ActivationKey1 | ActivationKey2 | Nonevar deployed_at : pydantic.types.AwareDatetime | Nonevar estimated_activation_duration_minutes : float | Nonevar is_live : boolvar model_configvar platform : strvar type : Literal['platform']
Inherited members
class Deployment2 (**data: Any)-
Expand source code
class Deployment2(AdCPBaseModel): model_config = ConfigDict( extra='forbid', ) account: Annotated[str | None, Field(description='Account identifier if applicable')] = None activation_key: Annotated[ activation_key_1.ActivationKey1 | activation_key_1.ActivationKey2 | None, Field( description='The key to use for targeting. Only present if is_live=true AND requester has access to this destination.', title='Activation Key', ), ] = None agent_url: Annotated[AnyUrl, Field(description='URL identifying the destination agent')] deployed_at: Annotated[ AwareDatetime | None, Field(description='Timestamp when activation completed (if is_live=true)'), ] = None estimated_activation_duration_minutes: Annotated[ float | None, Field( description='Estimated time to activate if not live, or to complete activation if in progress', ge=0.0, ), ] = None is_live: Annotated[ bool, Field(description='Whether signal is currently active on this destination') ] type: Annotated[ Literal['agent'], Field(description='Discriminator indicating this is an agent URL-based deployment'), ]Base model for AdCP types with spec-compliant serialization.
AdCP JSON schemas use additionalProperties: false and do not allow null for optional fields. Therefore, optional fields must be omitted entirely when not present (not sent as null).
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 account : str | Nonevar activation_key : ActivationKey1 | ActivationKey2 | Nonevar agent_url : pydantic.networks.AnyUrlvar deployed_at : pydantic.types.AwareDatetime | Nonevar estimated_activation_duration_minutes : float | Nonevar is_live : boolvar model_configvar type : Literal['agent']
Inherited members