Source code for langchain_community.document_transformers.markdownify
import re
from typing import Any, List, Optional, Sequence, Union
from langchain_core.documents import BaseDocumentTransformer, Document
[docs]class MarkdownifyTransformer(BaseDocumentTransformer):
"""Converts HTML documents to Markdown format with customizable options for handling
links, images, other tags and heading styles using the markdownify library.
Arguments:
strip: A list of tags to strip. This option can't be used with the convert option.
convert: A list of tags to convert. This option can't be used with the strip option.
autolinks: A boolean indicating whether the "automatic link" style should be used when a a tag's contents match its href. Defaults to True.
heading_style: Defines how headings should be converted. Accepted values are ATX, ATX_CLOSED, SETEXT, and UNDERLINED (which is an alias for SETEXT). Defaults to ATX.
kwargs: Additional options to pass to markdownify.
Example:
.. code-block:: python
from langchain_community.document_transformers import MarkdownifyTransformer
markdownify = MarkdownifyTransformer()
docs_transform = markdownify.transform_documents(docs)
More configuration options can be found at the markdownify GitHub page:
https://github.com/matthewwithanm/python-markdownify
""" # noqa: E501
[docs] def __init__(
self,
strip: Optional[Union[str, List[str]]] = None,
convert: Optional[Union[str, List[str]]] = None,
autolinks: bool = True,
heading_style: str = "ATX",
**kwargs: Any,
) -> None:
self.strip = [strip] if isinstance(strip, str) else strip
self.convert = [convert] if isinstance(convert, str) else convert
self.autolinks = autolinks
self.heading_style = heading_style
self.additional_options = kwargs
[docs] def transform_documents(
self,
documents: Sequence[Document],
**kwargs: Any,
) -> Sequence[Document]:
try:
from markdownify import markdownify
except ImportError:
raise ImportError(
"""markdownify package not found, please
install it with `pip install markdownify`"""
)
converted_documents = []
for doc in documents:
markdown_content = (
markdownify(
html=doc.page_content,
strip=self.strip,
convert=self.convert,
autolinks=self.autolinks,
heading_style=self.heading_style,
**self.additional_options,
)
.replace("\xa0", " ")
.strip()
)
cleaned_markdown = re.sub(r"\n\s*\n", "\n\n", markdown_content)
converted_documents.append(
Document(cleaned_markdown, metadata=doc.metadata)
)
return converted_documents
[docs] async def atransform_documents(
self,
documents: Sequence[Document],
**kwargs: Any,
) -> Sequence[Document]:
raise NotImplementedError