Source code for langchain_community.document_loaders.sharepoint

"""Loader that loads data from Sharepoint Document Library"""
from __future__ import annotations

from typing import Iterator, List, Optional, Sequence

from langchain_core.documents import Document
from langchain_core.pydantic_v1 import Field

from langchain_community.document_loaders.base_o365 import (
    O365BaseLoader,
    _FileType,
)
from langchain_community.document_loaders.parsers.registry import get_parser


[docs]class SharePointLoader(O365BaseLoader): """Load from `SharePoint`.""" document_library_id: str = Field(...) """ The ID of the SharePoint document library to load data from.""" folder_path: Optional[str] = None """ The path to the folder to load data from.""" object_ids: Optional[List[str]] = None """ The IDs of the objects to load data from.""" @property def _file_types(self) -> Sequence[_FileType]: """Return supported file types.""" return _FileType.DOC, _FileType.DOCX, _FileType.PDF @property def _scopes(self) -> List[str]: """Return required scopes.""" return ["sharepoint", "basic"]
[docs] def lazy_load(self) -> Iterator[Document]: """Load documents lazily. Use this when working at a large scale.""" try: from O365.drive import Drive, Folder except ImportError: raise ImportError( "O365 package not found, please install it with `pip install o365`" ) drive = self._auth().storage().get_drive(self.document_library_id) if not isinstance(drive, Drive): raise ValueError(f"There isn't a Drive with id {self.document_library_id}.") blob_parser = get_parser("default") if self.folder_path: target_folder = drive.get_item_by_path(self.folder_path) if not isinstance(target_folder, Folder): raise ValueError(f"There isn't a folder with path {self.folder_path}.") for blob in self._load_from_folder(target_folder): yield from blob_parser.lazy_parse(blob) if self.object_ids: for blob in self._load_from_object_ids(drive, self.object_ids): yield from blob_parser.lazy_parse(blob)