mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
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from __future__ import annotations
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import tempfile
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from typing import TYPE_CHECKING, List
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from langchain_core.documents import Document
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from langchain_core.pydantic_v1 import BaseModel, Field
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from langchain_community.document_loaders.base import BaseLoader
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from langchain_community.document_loaders.unstructured import UnstructuredFileLoader
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if TYPE_CHECKING:
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from O365.drive import File
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CHUNK_SIZE = 1024 * 1024 * 5
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class OneDriveFileLoader(BaseLoader, BaseModel):
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"""Load a file from `Microsoft OneDrive`."""
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file: File = Field(...)
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"""The file to load."""
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class Config:
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arbitrary_types_allowed = True
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"""Allow arbitrary types. This is needed for the File type. Default is True.
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See https://pydantic-docs.helpmanual.io/usage/types/#arbitrary-types-allowed"""
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def load(self) -> List[Document]:
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"""Load Documents"""
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with tempfile.TemporaryDirectory() as temp_dir:
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file_path = f"{temp_dir}/{self.file.name}"
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self.file.download(to_path=temp_dir, chunk_size=CHUNK_SIZE)
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loader = UnstructuredFileLoader(file_path)
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return loader.load()
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