GoogleDriveLoader#
- class langchain_google_community.drive.GoogleDriveLoader[source]#
Bases:
BaseLoader,BaseModelLoad Google Docs from Google Drive.
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 credentials_path: Path = PosixPath('/home/runner/.credentials/credentials.json')#
Path to the credentials file.
- param document_ids: List[str] | None = None#
The document ids to load from.
- param file_ids: List[str] | None = None#
The file ids to load from.
- param file_loader_cls: Any = None#
The file loader class to use.
- param file_loader_kwargs: Dict[str, Any] = {}#
The file loader kwargs to use.
- param file_types: Sequence[str] | None = None#
The file types to load. Only applies when folder_id is given.
- param folder_id: str | None = None#
The folder id to load from.
- param load_auth: bool = False#
Whether to load authorization identities.
- param load_extended_metadata: bool = False#
Whether to load extended metadata.
- param load_trashed_files: bool = False#
Whether to load trashed files. Only applies when folder_id is given.
- param recursive: bool = False#
Whether to load recursively. Only applies when folder_id is given.
- param service_account_key: Path = PosixPath('/home/runner/.credentials/keys.json')#
Path to the service account key file.
- param token_path: Path = PosixPath('/home/runner/.credentials/token.json')#
Path to the token file.
- async alazy_load() AsyncIterator[Document]#
A lazy loader for Documents.
- Return type:
AsyncIterator[Document]
- load_and_split(text_splitter: TextSplitter | None = None) List[Document]#
Load Documents and split into chunks. Chunks are returned as Documents.
Do not override this method. It should be considered to be deprecated!
- Parameters:
text_splitter (Optional[TextSplitter]) – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.
- Returns:
List of Documents.
- Return type:
List[Document]