mirror of
https://github.com/hwchase17/langchain
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94 lines
3.2 KiB
Python
94 lines
3.2 KiB
Python
"""Loads data from OneDrive"""
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from __future__ import annotations
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import logging
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from typing import TYPE_CHECKING, Iterator, List, Optional, Sequence, Union
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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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if TYPE_CHECKING:
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from O365.drive import Drive, Folder
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logger = logging.getLogger(__name__)
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class OneDriveLoader(O365BaseLoader):
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"""Load from `Microsoft OneDrive`."""
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drive_id: str = Field(...)
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""" The ID of the OneDrive drive 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 ["offline_access", "Files.Read.All"]
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def _get_folder_from_path(self, drive: Drive) -> Union[Folder, Drive]:
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"""
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Returns the folder or drive object located at the
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specified path relative to the given drive.
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Args:
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drive (Drive): The root drive from which the folder path is relative.
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Returns:
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Union[Folder, Drive]: The folder or drive object
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located at the specified path.
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Raises:
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FileNotFoundError: If the path does not exist.
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"""
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subfolder_drive = drive
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if self.folder_path is None:
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return subfolder_drive
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subfolders = [f for f in self.folder_path.split("/") if f != ""]
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if len(subfolders) == 0:
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return subfolder_drive
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items = subfolder_drive.get_items()
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for subfolder in subfolders:
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try:
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subfolder_drive = list(filter(lambda x: subfolder in x.name, items))[0]
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items = subfolder_drive.get_items()
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except (IndexError, AttributeError):
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raise FileNotFoundError("Path {} not exist.".format(self.folder_path))
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return subfolder_drive
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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
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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.drive_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.drive_id}.")
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blob_parser = get_parser("default")
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if self.folder_path:
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folder = self._get_folder_from_path(drive)
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for blob in self._load_from_folder(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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