mirror of
https://github.com/Mintplex-Labs/langchain-python.git
synced 2026-08-26 16:55:38 -04:00
Matt Robinson
bcab894f4e
### Summary
Adds an `UnstructuredTSVLoader` for TSV files. Also updates the doc
strings for `UnstructuredCSV` and `UnstructuredExcel` loaders.
### Testing
```python
from langchain.document_loaders.tsv import UnstructuredTSVLoader
loader = UnstructuredTSVLoader(
file_path="example_data/mlb_teams_2012.csv", mode="elements"
)
docs = loader.load()
```
36 lines
1.2 KiB
Python
36 lines
1.2 KiB
Python
from typing import Any, List
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from langchain.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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"""Loader that uses unstructured to load TSV files. 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.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, file_path: str, mode: str = "single", **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)
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