langchain.document_loaders.onedrive_file.OneDriveFileLoader

class langchain.document_loaders.onedrive_file.OneDriveFileLoader(*, file: File)

Bases: BaseLoader, BaseModel

Loads a file from OneDrive.

Create a new model by parsing and validating input data from keyword arguments.

Raises ValidationError if the input data cannot be parsed to form a valid model.

param file: File [Required]

The file to load.

lazy_load() → Iterator[Document]

A lazy loader for Documents.

load() → List[Document]

Load Documents

load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document]

Load Documents and split into chunks. Chunks are returned as Documents.

Parameters

text_splitter – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.

Returns

List of Documents.

model Config

Bases: object

arbitrary_types_allowed = True

Allow arbitrary types. This is needed for the File type. Default is True. See https://pydantic-docs.helpmanual.io/usage/types/#arbitrary-types-allowed