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langchain/libs/community/langchain_community/document_loaders/org_mode.py

55 lines
1.8 KiB
Python

from pathlib import Path
from typing import Any, List, Union
from langchain_community.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructured_version,
)
class UnstructuredOrgModeLoader(UnstructuredFileLoader):
"""Load `Org-Mode` files using `Unstructured`.
You can run the loader in one of two modes: "single" and "elements".
If you use "single" mode, the document will be returned as a single
langchain Document object. If you use "elements" mode, the unstructured
library will split the document into elements such as Title and NarrativeText.
You can pass in additional unstructured kwargs after mode to apply
different unstructured settings.
Examples
--------
from langchain_community.document_loaders import UnstructuredOrgModeLoader
loader = UnstructuredOrgModeLoader(
"example.org", mode="elements", strategy="fast",
)
docs = loader.load()
References
----------
https://unstructured-io.github.io/unstructured/bricks.html#partition-org
"""
def __init__(
self,
file_path: Union[str, Path],
mode: str = "single",
**unstructured_kwargs: Any,
):
"""
Args:
file_path: The path to the file to load.
mode: The mode to load the file from. Default is "single".
**unstructured_kwargs: Any additional keyword arguments to pass
to the unstructured.
"""
validate_unstructured_version(min_unstructured_version="0.7.9")
super().__init__(file_path=file_path, mode=mode, **unstructured_kwargs)
def _get_elements(self) -> List:
from unstructured.partition.org import partition_org
return partition_org(filename=self.file_path, **self.unstructured_kwargs)