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## Description Add `__init__` for unstructured loader of epub/image/markdown/pdf/ppt/word to restrict the input type to `str` or `Path`. In the [signature](https://python.langchain.com/api_reference/community/document_loaders/langchain_community.document_loaders.markdown.UnstructuredMarkdownLoader.html) these unstructured loaders receive `file_path: str | List[str] | Path | List[Path]`, but actually they only receive `str` or `Path`. ## Issue None ## Dependencies No changes.
60 lines
1.9 KiB
Python
60 lines
1.9 KiB
Python
"""Loads rich text files."""
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from pathlib import Path
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from typing import Any, List, Union
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from langchain_community.document_loaders.unstructured import (
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UnstructuredFileLoader,
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validate_unstructured_version,
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)
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class UnstructuredRTFLoader(UnstructuredFileLoader):
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"""Load `RTF` files using `Unstructured`.
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You can run the loader in one of two modes: "single" and "elements".
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If you use "single" mode, the document will be returned as a single
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langchain Document object. If you use "elements" mode, the unstructured
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library will split the document into elements such as Title and NarrativeText.
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You can pass in additional unstructured kwargs after mode to apply
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different unstructured settings.
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Examples
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--------
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from langchain_community.document_loaders import UnstructuredRTFLoader
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loader = UnstructuredRTFLoader(
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"example.rtf", mode="elements", strategy="fast",
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)
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docs = loader.load()
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References
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----------
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https://unstructured-io.github.io/unstructured/bricks.html#partition-rtf
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"""
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def __init__(
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self,
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file_path: Union[str, Path],
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mode: str = "single",
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**unstructured_kwargs: Any,
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):
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"""
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Initialize with a file path.
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Args:
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file_path: The path to the file to load.
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mode: The mode to use for partitioning. See unstructured for details.
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Defaults to "single".
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**unstructured_kwargs: Additional keyword arguments to pass
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to unstructured.
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"""
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file_path = str(file_path)
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validate_unstructured_version("0.5.12")
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super().__init__(file_path=file_path, mode=mode, **unstructured_kwargs)
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def _get_elements(self) -> List:
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from unstructured.partition.rtf import partition_rtf
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return partition_rtf(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type]
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