Source code for langchain.document_loaders.odt

"""Loads OpenOffice ODT files."""
from typing import Any, List

from langchain.document_loaders.unstructured import (
    UnstructuredFileLoader,
    validate_unstructured_version,
)


[docs]class UnstructuredODTLoader(UnstructuredFileLoader): """Loader that uses unstructured to load OpenOffice ODT files. 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 UnstructuredODTLoader loader = UnstructuredODTLoader( "example.odt", mode="elements", strategy="fast", ) docs = loader.load() References ---------- https://unstructured-io.github.io/unstructured/bricks.html#partition-odt """ 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 use when loading the file. Can be one of "single", "multi", or "all". Default is "single". **unstructured_kwargs: Any kwargs to pass to the unstructured. """ validate_unstructured_version(min_unstructured_version="0.6.3") super().__init__(file_path=file_path, mode=mode, **unstructured_kwargs) def _get_elements(self) -> List: from unstructured.partition.odt import partition_odt return partition_odt(filename=self.file_path, **self.unstructured_kwargs)