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600b7bdd61
Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
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 UnstructuredTSVLoader(UnstructuredFileLoader):
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"""Load `TSV` files using `Unstructured`.
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Like other
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Unstructured loaders, UnstructuredTSVLoader can be used in both
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"single" and "elements" mode. If you use the loader in "elements"
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mode, the TSV file will be a single Unstructured Table element.
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If you use the loader in "elements" mode, an HTML representation
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of the table will be available in the "text_as_html" key in the
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document metadata.
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Examples
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--------
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from langchain_community.document_loaders.tsv import UnstructuredTSVLoader
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loader = UnstructuredTSVLoader("stanley-cups.tsv", mode="elements")
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docs = loader.load()
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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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validate_unstructured_version(min_unstructured_version="0.7.6")
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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.tsv import partition_tsv
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return partition_tsv(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type]
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