Source code for langchain_community.document_loaders.org_mode

from pathlib import Path
from typing import Any, List, Union

from langchain_community.document_loaders.unstructured import (

[docs]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( "", mode="elements", strategy="fast", ) docs = loader.load() References ---------- """
[docs] 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 import partition_org return partition_org(filename=self.file_path, **self.unstructured_kwargs)