Module adcp.types.domains.media_buy.request_proposals_request
Classes
class Opportunity (**data: Any)-
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class Opportunity(OpportunityContext): status: Annotated[ Literal['open'], Field( description='Whether the planning cycle remains open. On calls after initial creation, omission means no status update and MUST NOT reopen or close the opportunity implicitly, except that successful create_media_buy proposal execution explicitly infers accepted closure.' ), ] = 'open'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 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
- OpportunityContext
- AdCPBaseModel
- pydantic.main.BaseModel
Class variables
var model_configvar status : Literal['open']
Inherited members
class RequestProposalsRequest (**data: Any)-
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class RequestProposalsRequest(AdcpRequest, AdcpVersionEnvelope): model_config = ConfigDict( extra='forbid', ) context_id: Annotated[ str | None, Field( description='MCP compatibility field: servers ignore this value; A2A uses transport-native Message/Task contextId.', min_length=1, ), ] = None context: context_1.ContextObject | None = None governance_context: Annotated[str | None, Field(max_length=4096, min_length=1)] = None push_notification_config: push_notification_config_1.PushNotificationConfig | None = None idempotency_key: Annotated[ str, Field( description='Client-generated key required for retry-safe proposal creation.', max_length=255, min_length=16, pattern='^[A-Za-z0-9_.:-]{16,255}$', ), ] account: Annotated[ canonical_account_ref.CanonicalAccountReference | None, Field( description='Alternative brand source for proposal terms. Provide either this natural-key account containing brand and operator or top-level brand, not both.' ), ] = None brand: Annotated[ brand_key.BrandKey | None, Field( description='Alternative brand source for proposal terms. Provide either top-level brand or a natural-key account containing brand and operator, not both.' ), ] = None brief: Annotated[ str, Field( description='Campaign goal, strategy, and requirements that are not represented in structured criteria.', min_length=1, ), ] criteria: product_discovery_criteria.ProductDiscoveryCriteria | None = None opportunity: Annotated[ Opportunity | None, Field( description='Optional planning-cycle context that the seller associates with every proposal created by this request.' ), ] = None @model_validator(mode='after') def _require_schema_required_group(self) -> RequestProposalsRequest: # ``required`` asks whether the caller supplied the field, which is what # model_fields_set answers. An explicit null is a supplied value — on a # mutation input it is the command to clear — and a default the caller # never sent is not. for group in (('brand',), ('account',),): if all(name in self.model_fields_set for name in group): return self raise ValueError( 'RequestProposalsRequest requires at least one of these field groups: brand | account' )The request message of a task in the pinned bundle's task registry.
A consumer holding one can resolve its account, decide at-most-once, echo its context and negotiate version – the whole transport-boundary job – before knowing which tool it is.
issubclass(model, AdcpRequest)is the registration-time proof that a model is spec-derived rather than a hand-written parallel: a field test passes for a forged model, descent does not.Each accessor returns the field's value, or
Nonewhen this tool's schema declares no such field. Only 49 of the 87 request schemas declare anaccountand only 43 anidempotency_key, so asking the request is what replacesgetattr(req, "account", None)againstAnyat the boundary.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
- AdcpRequest
- adcp.types.base._AdcpMessage
- AdcpVersionEnvelope
- AdCPBaseModel
- pydantic.main.BaseModel
Class variables
var account : CanonicalAccountReference1 | CanonicalAccountReference2 | Nonevar brand : BrandKey | Nonevar brief : strvar context : ContextObject | Nonevar context_id : str | Nonevar criteria : ProductDiscoveryCriteria | Nonevar governance_context : str | Nonevar idempotency_key : strvar model_configvar opportunity : Opportunity | Nonevar push_notification_config : PushNotificationConfig | None
Inherited members
class Status (*args, **kwds)-
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class Status(StrEnum): open = 'open' closed = 'closed'Enum where members are also (and must be) strings
Ancestors
- enum.StrEnum
- builtins.str
- enum.ReprEnum
- enum.Enum
Class variables
var closedvar open