mirror of
https://github.com/hwchase17/langchain
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57 lines
2.2 KiB
Python
57 lines
2.2 KiB
Python
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"""Loader that loads data from Sharepoint Document Library"""
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from __future__ import annotations
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from typing import Iterator, List, Optional, Sequence
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from langchain_core.documents import Document
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from langchain_core.pydantic_v1 import Field
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from langchain_community.document_loaders.base_o365 import (
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O365BaseLoader,
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_FileType,
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)
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from langchain_community.document_loaders.parsers.registry import get_parser
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class SharePointLoader(O365BaseLoader):
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"""Load from `SharePoint`."""
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document_library_id: str = Field(...)
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""" The ID of the SharePoint document library to load data from."""
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folder_path: Optional[str] = None
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""" The path to the folder to load data from."""
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object_ids: Optional[List[str]] = None
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""" The IDs of the objects to load data from."""
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@property
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def _file_types(self) -> Sequence[_FileType]:
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"""Return supported file types."""
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return _FileType.DOC, _FileType.DOCX, _FileType.PDF
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@property
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def _scopes(self) -> List[str]:
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"""Return required scopes."""
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return ["sharepoint", "basic"]
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def lazy_load(self) -> Iterator[Document]:
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"""Load documents lazily. Use this when working at a large scale."""
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try:
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from O365.drive import Drive, Folder
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except ImportError:
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raise ImportError(
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"O365 package not found, please install it with `pip install o365`"
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)
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drive = self._auth().storage().get_drive(self.document_library_id)
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if not isinstance(drive, Drive):
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raise ValueError(f"There isn't a Drive with id {self.document_library_id}.")
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blob_parser = get_parser("default")
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if self.folder_path:
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target_folder = drive.get_item_by_path(self.folder_path)
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if not isinstance(target_folder, Folder):
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raise ValueError(f"There isn't a folder with path {self.folder_path}.")
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for blob in self._load_from_folder(target_folder):
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yield from blob_parser.lazy_parse(blob)
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if self.object_ids:
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for blob in self._load_from_object_ids(drive, self.object_ids):
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yield from blob_parser.lazy_parse(blob)
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