Module adcp.types.generated_poc.measurement

Classes

class Measurement (**data: Any)
Expand source code 
class Measurement(AdCPBaseModel):
    model_config = ConfigDict(
        extra='forbid',
    )
    attribution: Annotated[
        str,
        Field(
            description='Attribution methodology',
            examples=['deterministic_purchase', 'probabilistic'],
        ),
    ]
    reporting: Annotated[
        str,
        Field(
            description='Reporting frequency and format',
            examples=['weekly_dashboard', 'real_time_api'],
        ),
    ]
    type: Annotated[
        str,
        Field(
            description='Type of measurement',
            examples=['incremental_sales_lift', 'brand_lift', 'foot_traffic'],
        ),
    ]
    window: Annotated[
        str | None, Field(description='Attribution window', examples=['30_days', '7_days'])
    ] = None

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.

self is explicitly positional-only to allow self as a field name.

Ancestors

Class variables

var attribution : str
var model_config
var reporting : str
var type : str
var window : str | None

Inherited members