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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.
97 lines
3.3 KiB
Python
97 lines
3.3 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 UnstructuredMarkdownLoader(UnstructuredFileLoader):
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"""Load `Markdown` 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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Setup:
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Install ``langchain-community``.
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.. code-block:: bash
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pip install -U langchain-community
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Instantiate:
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.. code-block:: python
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from langchain_community.document_loaders import UnstructuredMarkdownLoader
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loader = UnstructuredMarkdownLoader(
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"./example_data/example.md",
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mode="elements",
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strategy="fast",
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)
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Lazy load:
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.. code-block:: python
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docs = []
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docs_lazy = loader.lazy_load()
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# async variant:
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# docs_lazy = await loader.alazy_load()
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for doc in docs_lazy:
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docs.append(doc)
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print(docs[0].page_content[:100])
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print(docs[0].metadata)
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.. code-block:: python
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Sample Markdown Document
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{'source': './example_data/example.md', 'category_depth': 0, 'last_modified': '2024-08-14T15:04:18', 'languages': ['eng'], 'filetype': 'text/markdown', 'file_directory': './example_data', 'filename': 'example.md', 'category': 'Title', 'element_id': '3d0b313864598e704aa26c728ecb61e5'}
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Async load:
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.. code-block:: python
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docs = await loader.aload()
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print(docs[0].page_content[:100])
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print(docs[0].metadata)
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.. code-block:: python
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Sample Markdown Document
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{'source': './example_data/example.md', 'category_depth': 0, 'last_modified': '2024-08-14T15:04:18', 'languages': ['eng'], 'filetype': 'text/markdown', 'file_directory': './example_data', 'filename': 'example.md', 'category': 'Title', 'element_id': '3d0b313864598e704aa26c728ecb61e5'}
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References
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----------
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https://unstructured-io.github.io/unstructured/core/partition.html#partition-md
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""" # noqa: E501
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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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Args:
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file_path: The path to the Markdown file to load.
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mode: The mode to use when loading the file. Can be one of "single",
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"multi", or "all". Default is "single".
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**unstructured_kwargs: Any kwargs to pass to the unstructured.
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"""
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file_path = str(file_path)
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validate_unstructured_version("0.4.16")
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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.md import partition_md
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return partition_md(filename=self.file_path, **self.unstructured_kwargs) # type: ignore[arg-type]
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