from typing import Any, List

from langchain.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.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: str, 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)
