Source code for langchain.document_loaders.rtf
"""Loads rich text files."""
from typing import Any, List
from langchain.document_loaders.unstructured import (
    UnstructuredFileLoader,
    satisfies_min_unstructured_version,
)
[docs]class UnstructuredRTFLoader(UnstructuredFileLoader):
    """Loader that uses unstructured to load RTF 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 UnstructuredRTFLoader
    loader = UnstructuredRTFLoader(
        "example.rtf", mode="elements", strategy="fast",
    )
    docs = loader.load()
    References
    ----------
    https://unstructured-io.github.io/unstructured/bricks.html#partition-rtf
    """
[docs]    def __init__(
        self, file_path: str, mode: str = "single", **unstructured_kwargs: Any
    ):
        """
        Initialize with a file path.
        Args:
            file_path: The path to the file to load.
            mode: The mode to use for partitioning. See unstructured for details.
                Defaults to "single".
            **unstructured_kwargs: Additional keyword arguments to pass
                to unstructured.
        """
        min_unstructured_version = "0.5.12"
        if not satisfies_min_unstructured_version(min_unstructured_version):
            raise ValueError(