Module adcp.types.domains.pricing_options.time_option
Classes
class Parameters (**data: Any)-
Expand source code
class Parameters(AdCPBaseModel): model_config = ConfigDict( extra='allow', ) time_unit: Annotated[ TimeUnit, Field( description='The time unit for pricing. Total cost = fixed_price × number of time_units in the campaign flight.' ), ] min_duration: Annotated[ SchemaInt | None, Field(description='Minimum booking duration in time_units', ge=1) ] = None max_duration: Annotated[ SchemaInt | None, Field( description='Maximum booking duration in time_units. Must be >= min_duration when both are present.', 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 max_duration : int | Nonevar min_duration : int | Nonevar model_configvar time_unit : TimeUnit
Inherited members
class TimeBasedPricingOption (**data: Any)-
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class TimeBasedPricingOption(AdCPBaseModel): model_config = ConfigDict( extra='allow', ) pricing_option_id: Annotated[ str, Field(description='Unique identifier for this pricing option within the product') ] pricing_model: Annotated[ Literal['time'], Field(description='Cost per time unit - rate scales with campaign duration'), ] = 'time' currency: Annotated[ str, Field( description='ISO 4217 currency code', examples=['USD', 'EUR', 'GBP', 'JPY'], pattern='^[A-Z]{3}$', ), ] fixed_price: Annotated[ StrictFloat | None, Field( description='Cost per time unit. If present, this is fixed pricing. If absent, auction-based.', ge=0.0, ), ] = None floor_price: Annotated[ StrictFloat | None, Field( description='Minimum acceptable bid per time unit for auction pricing (mutually exclusive with fixed_price). Bids below this value will be rejected.', ge=0.0, ), ] = None price_guidance: Annotated[ price_guidance_1.PriceGuidance | None, Field(description='Optional pricing guidance for auction-based bidding'), ] = None parameters: Annotated[Parameters, Field(description='Time-based pricing parameters')] min_spend_per_package: Annotated[ StrictFloat | None, Field( description='Minimum spend requirement per package using this pricing option, in the specified currency', ge=0.0, ), ] = None price_breakdown: Annotated[ price_breakdown_1.PriceBreakdown | None, Field( description='Breakdown of how fixed_price was derived from the list (rate card) price. Only meaningful when fixed_price is present.' ), ] = None eligible_adjustments: Annotated[ list[adjustment_kind.PriceAdjustmentKind] | None, Field( description='Adjustment kinds applicable to this pricing option. Tells buyer agents which adjustments are available before negotiation. When absent, no adjustments are pre-declared — the buyer should check price_breakdown if present.' ), ] = 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 currency : strvar eligible_adjustments : list[PriceAdjustmentKind] | Nonevar fixed_price : float | Nonevar floor_price : float | Nonevar min_spend_per_package : float | Nonevar model_configvar parameters : Parametersvar price_breakdown : PriceBreakdown | Nonevar price_guidance : PriceGuidance | Nonevar pricing_model : Literal['time']var pricing_option_id : str
Inherited members
class TimeUnit (*args, **kwds)-
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class TimeUnit(StrEnum): hour = 'hour' day = 'day' week = 'week' month = 'month'Enum where members are also (and must be) strings
Ancestors
- enum.StrEnum
- builtins.str
- enum.ReprEnum
- enum.Enum
Class variables
var dayvar hourvar monthvar week