ConversationChannelData 类
具有事件类型的扩展 ChannelData。
通过分析和验证关键字参数中的输入数据来创建新模型。
引发 [ValidationError][pydantic_core。如果无法验证输入数据以形成有效的模型，则 ValidationError]。
self 是显式位置仅允许 自己 作为字段名称。
构造函数
ConversationChannelData(*, channel: ChannelInfo | None = None, eventType: Literal['channelCreated', 'channelDeleted', 'channelRenamed', 'channelRestored', 'teamArchived', 'teamDeleted', 'teamHardDeleted', 'teamRenamed', 'teamRestored', 'teamUnarchived', 'teamMemberRemoved', 'teamMemberAdded'] | None = None, team: TeamInfo | None = None, notification: NotificationInfo | None = None, tenant: TenantInfo | None = None, meeting: MeetingInfo | None = None, settings: ChannelDataSettings | None = None, feedbackLoopEnabled: bool | None = None, feedbackLoop: FeedbackLoop | None = None, streamId: str | None = None, streamType: Literal['informative', 'streaming', 'final'] | None = None, streamSequence: int | None = None, **extra_data: Any)仅限关键字的参数
| 名称 | 说明 |
|---|---|
|
channel
|
默认值: None
|
|
eventType
|
默认值: None
|
|
team
|
默认值: None
|
|
notification
|
默认值: None
|
|
tenant
|
默认值: None
|
|
meeting
|
默认值: None
|
|
settings
|
默认值: None
|
|
feedbackLoopEnabled
|
默认值: None
|
|
feedbackLoop
|
默认值: None
|
|
streamId
|
默认值: None
|
|
streamType
|
默认值: None
|
|
streamSequence
|
默认值: None
|
属性
event_type
发生的事件类型。
event_type: Literal['channelCreated', 'channelDeleted', 'channelRenamed', 'channelRestored', 'teamArchived', 'teamDeleted', 'teamHardDeleted', 'teamRenamed', 'teamRestored', 'teamUnarchived', 'teamMemberRemoved', 'teamMemberAdded'] | Nonemodel_config
模型的配置应为符合 [ConfigDict][pydantic.config的字典。ConfigDict]。
model_config: ClassVar[ConfigDict] = {'alias_generator': AliasGenerator(alias=None, validation_alias=<staticmethod(<function CustomBaseModel.validation_alias_generator>)>, serialization_alias=<staticmethod(<function CustomBaseModel.serialization_alias_generator>)>), 'arbitrary_types_allowed': True, 'extra': 'allow', 'populate_by_name': True, 'serialize_by_alias': True, 'validate_by_alias': True, 'validate_by_name': True}