Module adcp.types.domains.core.account
Classes
class Account (**data: Any)-
Expand source code
class Account(AdCPBaseModel): model_config = ConfigDict( extra='allow', ) account_id: Annotated[str, Field(description='Unique identifier for this account')] name: Annotated[ str, Field(description="Human-readable account name (e.g., 'Acme', 'Acme c/o Pinnacle')") ] advertiser: Annotated[ str | None, Field(description='The advertiser whose rates apply to this account') ] = None billing_proxy: Annotated[ str | None, Field( description='Optional intermediary who receives invoices on behalf of the advertiser (e.g., agency)' ), ] = None status: Annotated[ account_status.AccountStatus, Field( description='Account lifecycle status. See the Accounts Protocol overview for the operations matrix showing which tasks are permitted in each state.' ), ] brand: Annotated[ brand_ref.BrandReference | None, Field(description='Brand reference identifying the advertiser'), ] = None operator: Annotated[ str | None, Field( description="Domain of the entity operating this account. When the brand operates directly, this is the brand's domain.", pattern='^[a-z0-9]([a-z0-9-]*[a-z0-9])?(\\.[a-z0-9]([a-z0-9-]*[a-z0-9])?)*$', ), ] = None operator_unit: Annotated[ operator_unit_1.OperatorUnit | None, Field( description='Operator-owned business unit, agency seat, or platform account associated with this advertiser account. The id round-trips from the natural key; name is mutable display metadata. This is distinct from account_id, which belongs to the seller/storefront namespace.' ), ] = None revision: Annotated[ SchemaInt | None, Field( description='Monotonically increasing optimistic-concurrency token for this account. Incremented on every persisted settings change, identity-change request, and identity-change disposition; reads, dry runs, validation failures, and exact idempotency replays do not increment it. Pass the latest observed value in a sync_accounts settings-update entry to prevent lost updates.', ge=1, ), ] = None identity_change: Annotated[ account_identity_change.AccountIdentityChange | None, Field( description='Pending or rejected operator-identity transition. While present, the top-level operator and operator_unit remain the current canonical identity. Re-read list_accounts until the request is applied (canonical fields change and this object disappears) or rejected.' ), ] = None currency: Annotated[ str | None, Field( description="Immutable transaction currency when the seller's advertiser object is currency-bound. Media buys on this account MUST use this currency. Omit when the account selects currency independently per media buy.", pattern='^[A-Z]{3}$', ), ] = None timezone: Annotated[ str | None, Field( description='Immutable operational timezone for this account, expressed as UTC or an IANA timezone identifier. AdCP 3.2 sellers return it on every account. It is the default calendar-day boundary for account-scoped behavior unless a feature explicitly declares another timezone basis. For buyer-selected account_fixed provisioning it participates in the natural account key.', min_length=1, ), ] = None billing: Annotated[ billing_party.BillingParty | None, Field( description="Who is invoiced on this account. See billing_entity for the invoiced party's business details." ), ] = None billing_entity: Annotated[ business_entity.BusinessEntity | None, Field( description='Current canonical business entity for the party responsible for payment. Contains the legal name, tax IDs, and address needed for formal B2B invoicing. Corresponds to whoever billing points to (operator, agent, or advertiser). When this account appears in a response, bank details MUST be omitted and the request-only destination_billing_entity MUST NOT be exposed.' ), ] = None destination_billing_entity: Annotated[ Any | None, Field(description='Request-only staging field. It MUST NOT appear in account read models.'), ] = None rate_card: Annotated[ str | None, Field(description='Identifier for the rate card applied to this account') ] = None payment_terms: Annotated[ payment_terms_1.PaymentTerms | None, Field( description='Payment terms agreed for this account. Binding for all invoices when the account is active.' ), ] = None credit_limit: Annotated[ CreditLimit | None, Field(description='Maximum outstanding balance allowed') ] = None setup: Annotated[ Setup | None, Field( description="Present when status is 'pending_approval'. Contains next steps for completing account activation." ), ] = None account_scope: account_scope_1.AccountScope | None = None governance_agents: Annotated[ list[GovernanceAgent] | None, Field( description="Governance agent endpoint registered on this account. Exactly one entry per sync_governance's one-agent-per-account invariant. The array shape is preserved for wire compatibility with 3.0; `maxItems: 1` is load-bearing and mirrors the singular `governance_context` on the protocol envelope. Authentication credentials are write-only and not included in responses — use sync_governance to set or update credentials.", max_length=1, min_length=1, ), ] = None reporting_bucket: Annotated[ ReportingBucket | None, Field( description="Cloud storage bucket where the seller delivers offline reporting files for this account. Seller provisions a dedicated bucket or a per-account prefix within a shared bucket, and grants the buyer read access out-of-band. Access MUST be scoped at the IAM layer so each account can only read its own prefix — bucket-wide grants are non-compliant even with per-account prefixes. Seller MUST revoke access when the account's status transitions to inactive, suspended, or closed. See security considerations for offline delivery in docs/media-buy/media-buys/optimization-reporting. Only present when the seller supports offline delivery (reporting_delivery_methods includes 'offline' in capabilities)." ), ] = None sandbox: Annotated[ StrictBool | None, Field( description='When true, this is a sandbox account — no real platform calls, no real spend. For account-id namespaces, sandbox accounts are pre-existing test accounts on the platform discovered via list_accounts or supplied out-of-band. For buyer-declared accounts, sandbox is part of the natural key: the same brand/operator pair can have both a production and sandbox account.' ), ] = None notification_configs: Annotated[ list[notification_config.NotificationConfig] | None, Field( description='Account-level webhook subscriptions for creative lifecycle/assignment changes, indicators.changed, account status, durable account-change wake-ups, wholesale feed changes, and reporting.delivery_ready. Buyers manage entries via sync_accounts and verify persisted state on list_accounts. account.change_recorded wakes receivers to drain list_account_changes; reporting.delivery_ready is repaired through get_reporting_status; indicator and assignment payloads are invalidations repaired completely through get_media_buys; list_creatives may provide a bounded reverse projection. Distinct from per-resource push_notification_config. Entries are keyed by account-scoped subscriber_id; credentials are write-only.', max_length=16, ), ] = None reporting_delivery_configs: Annotated[ list[reporting_delivery_config_state.ReportingDeliveryConfigurationState] | None, Field( description="Resolved durable reporting delivery configurations owned by the authenticated caller for this account. list_accounts MUST expose only the calling principal's set. State and seller-issued destination_ref are returned; credentials and bearer profiles MUST NOT appear. Any setup URL is a secret-free authenticated entry point, not a bearer credential.", max_length=16, ), ] = None webhook_activity: Annotated[ list[webhook_activity_record.WebhookActivityRecord] | None, Field( description='Recent webhook delivery attempts scoped to this account when the caller requested webhook activity on list_accounts and the seller surfaces the log. Includes account-anchored notifications such as account.status_changed and MAY include other account-level fires relevant to this account. Three-state presence follows the shared webhook_activity[] contract: omitted means unsupported or not requested, [] means supported but no retained fires, non-empty lists recent attempts most-recent-first.', max_length=200, ), ] = None ext: ext_1.ExtensionObject | None = 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
Subclasses
Class variables
var account_id : strvar account_scope : AccountScope | Nonevar advertiser : str | Nonevar billing : BillingParty | Nonevar billing_entity : BusinessEntity | Nonevar billing_proxy : str | Nonevar brand : BrandReference | Nonevar credit_limit : CreditLimit | Nonevar currency : str | Nonevar destination_billing_entity : typing.Any | Nonevar ext : ExtensionObject | Nonevar governance_agents : list[GovernanceAgent] | Nonevar identity_change : AccountIdentityChange1 | AccountIdentityChange2 | Nonevar model_configvar name : strvar notification_configs : list[NotificationConfig] | Nonevar operator : str | Nonevar operator_unit : OperatorUnit | Nonevar payment_terms : PaymentTerms | Nonevar rate_card : str | Nonevar reporting_bucket : ReportingBucket | Nonevar reporting_delivery_configs : list[ReportingDeliveryConfigurationState] | Nonevar revision : int | Nonevar sandbox : bool | Nonevar setup : Setup | Nonevar status : AccountStatusvar timezone : str | Nonevar webhook_activity : list[WebhookActivityRecord] | None
Inherited members
class Compression (*args, **kwds)-
Expand source code
class Compression(StrEnum): gzip = 'gzip' none = 'none'Enum where members are also (and must be) strings
Ancestors
- enum.StrEnum
- builtins.str
- enum.ReprEnum
- enum.Enum
Class variables
var gzipvar none
class CreditLimit (**data: Any)-
Expand source code
class CreditLimit(AdCPBaseModel): amount: Annotated[StrictFloat, Field(ge=0.0)] currency: Annotated[str, Field(pattern='^[A-Z]{3}$')]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
- AdCPBaseModel
- pydantic.main.BaseModel
Class variables
var amount : floatvar currency : strvar model_config
Inherited members
class Format (*args, **kwds)-
Expand source code
class Format(StrEnum): jsonl = 'jsonl' csv = 'csv' parquet = 'parquet' avro = 'avro' orc = 'orc'Enum where members are also (and must be) strings
Ancestors
- enum.StrEnum
- builtins.str
- enum.ReprEnum
- enum.Enum
Class variables
var avrovar csvvar jsonlvar orcvar parquet
class GovernanceAgent (**data: Any)-
Expand source code
class GovernanceAgent(AdCPBaseModel): model_config = ConfigDict( extra='forbid', ) url: Annotated[AnyUrl, Field(description='Governance agent endpoint URL. Must use HTTPS.')]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
- AdCPBaseModel
- pydantic.main.BaseModel
Class variables
var model_configvar url : pydantic.networks.AnyUrl
Inherited members
class ReportingBucket (**data: Any)-
Expand source code
class ReportingBucket(AdCPBaseModel): model_config = ConfigDict( extra='forbid', ) protocol: Annotated[ cloud_storage_protocol.CloudStorageProtocol, Field(description='Cloud storage protocol') ] bucket: Annotated[ str, Field( description='Bucket or container name', max_length=63, min_length=3, pattern='^[a-z0-9][a-z0-9.-]{1,61}[a-z0-9]$', ), ] prefix: Annotated[ str | None, Field( description='Path prefix within the bucket. Seller appends date-based partitioning beneath this prefix.', examples=['accounts/pinnacle/adcp', 'reporting/2024'], max_length=512, pattern='^[a-zA-Z0-9/_.-]+$', ), ] = None region: Annotated[ str | None, Field( description='Cloud region for the bucket', examples=['us-east-1', 'europe-west1'], max_length=64, pattern='^[a-z0-9-]+$', ), ] = None format: Annotated[ Format | None, Field( description='File format for delivered files. Parquet, Avro, and ORC use internal compression (the top-level compression field is ignored for these formats).' ), ] = Format.jsonl compression: Annotated[ Compression | None, Field(description='Compression applied to delivered files') ] = Compression.gzip file_retention_days: Annotated[ SchemaInt, Field( description='How long reporting files are retained in the bucket before deletion. Buyers must read files within this window. Minimum recommended: 14 days.', examples=[14, 30, 90], ge=1, ), ] setup_instructions: Annotated[ AnyUrl | None, Field( description='URL to documentation for configuring buyer read access to this bucket (IAM role, service account, etc.). Operator-facing documentation — buyer agents MUST NOT auto-fetch this URL; surface it to a human operator. If an implementation fetches it (for preview), apply webhook URL SSRF validation and do not pass the fetched content into an LLM context without indirect-prompt-injection guarding. See docs/media-buy/media-buys/optimization-reporting#security-considerations-for-offline-delivery.' ), ] = 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 bucket : strvar compression : Compression | Nonevar file_retention_days : intvar format : Format | Nonevar model_configvar prefix : str | Nonevar protocol : CloudStorageProtocolvar region : str | Nonevar setup_instructions : pydantic.networks.AnyUrl | None
Inherited members
class Setup (**data: Any)-
Expand source code
class Setup(AdCPBaseModel): model_config = ConfigDict( extra='allow', ) url: Annotated[ AnyUrl | None, Field( description='URL where the human can complete the required action (credit application, legal agreement, add funds).' ), ] = None message: Annotated[str, Field(description="Human-readable description of what's needed.")] expires_at: Annotated[ AwareDatetime | None, Field(description='When this setup link expires.') ] = 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 expires_at : pydantic.types.AwareDatetime | Nonevar message : strvar model_configvar url : pydantic.networks.AnyUrl | None
Inherited members