QueryWorkbookChatConfigurationQueryOn

pydantic model openapi_client.models.query_workbook_chat_configuration_query_on.QueryWorkbookChatConfigurationQueryOn

Datasets and system datasets the chat is allowed to query. Each entry must be a non-empty string, and any property other than the two below is rejected with IPV-1004.

Fields:

• datasets (List[str] | None)

• system_datasets (List[str] | None)

field datasets: Optional[List[StrictStr]] = None (alias 'Datasets')

Dataset IDs the chat may query. When TargetLocation is “redshift” every dataset listed must itself be Redshift-backed, otherwise the request is rejected with IPV-1004.

field system_datasets: Optional[List[StrictStr]] = None (alias 'SystemDatasets')

System dataset IDs the chat may query.

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of QueryWorkbookChatConfigurationQueryOn from a JSON string

Return type:

Optional[Self]

to_dict()

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

• None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of QueryWorkbookChatConfigurationQueryOn from a dict

Return type:

Optional[Self]