QueryWorkbookDetails

class openapi_client.models.query_workbook_details.QueryWorkbookDetails(**data)

Bases: BaseModel

workbook_id: Optional[StrictStr]

title: Optional[StrictStr]

creation_time: Optional[StrictStr]

created_by: Optional[StrictStr]

last_modified_by: Optional[StrictStr]

last_modified_time: Optional[StrictStr]

chat_configuration: Optional[QueryWorkbookDetailsChatConfiguration]

access_type: Optional[StrictStr]

messages: Optional[List[QueryWorkbookMessage]]

query_items: Optional[List[QueryResponse]]

count: Optional[StrictInt]

total_count: Optional[StrictInt]

next_available: Optional[StrictStr]

classmethod next_available_validate_enum(value)

Validates the enum

model_config: ClassVar[ConfigDict] = {'populate_by_name': True, 'protected_namespaces': (), 'validate_assignment': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

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 QueryWorkbookDetails 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 QueryWorkbookDetails from a dict

Return type:

Optional[Self]

model_fields: ClassVar[dict[str, FieldInfo]] = {'access_type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='AccessType', alias_priority=2, description="User's access level to the workbook"), 'chat_configuration': FieldInfo(annotation=Union[QueryWorkbookDetailsChatConfiguration, NoneType], required=False, alias='ChatConfiguration', alias_priority=2), 'count': FieldInfo(annotation=Union[Annotated[int, Strict(strict=True)], NoneType], required=False, description='Number of messages in current page'), 'created_by': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CreatedBy', alias_priority=2, description='User who created the workbook'), 'creation_time': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CreationTime', alias_priority=2, description='Workbook creation timestamp'), 'last_modified_by': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='LastModifiedBy', alias_priority=2, description='User who last modified the workbook'), 'last_modified_time': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='LastModifiedTime', alias_priority=2, description='Last modification timestamp'), 'messages': FieldInfo(annotation=Union[List[QueryWorkbookMessage], NoneType], required=False), 'next_available': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, description='Whether more pages are available'), 'query_items': FieldInfo(annotation=Union[List[QueryResponse], NoneType], required=False), 'title': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='Title', alias_priority=2, description='Workbook title'), 'total_count': FieldInfo(annotation=Union[Annotated[int, Strict(strict=True)], NoneType], required=False, description='Total number of messages available'), 'workbook_id': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='WorkbookId', alias_priority=2, description='Unique identifier for the workbook')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

model_post_init(__context)

This function is meant to behave like a BaseModel method to initialise private attributes.

It takes context as an argument since that’s what pydantic-core passes when calling it.

Parameters:

• self (BaseModel) – The BaseModel instance.

• __context (Any) – The context.

Return type:

None