Source code for langchain_community.document_loaders.readthedocs

from __future__ import annotations

from pathlib import Path
from typing import TYPE_CHECKING, Any, Iterator, List, Optional, Sequence, Tuple, Union

from langchain_core.documents import Document

from langchain_community.document_loaders.base import BaseLoader

if TYPE_CHECKING:
    from bs4 import NavigableString
    from bs4.element import Comment, Tag


[docs]class ReadTheDocsLoader(BaseLoader): """Load `ReadTheDocs` documentation directory."""
[docs] def __init__( self, path: Union[str, Path], encoding: Optional[str] = None, errors: Optional[str] = None, custom_html_tag: Optional[Tuple[str, dict]] = None, patterns: Sequence[str] = ("*.htm", "*.html"), exclude_links_ratio: float = 1.0, **kwargs: Optional[Any], ): """ Initialize ReadTheDocsLoader The loader loops over all files under `path` and extracts the actual content of the files by retrieving main html tags. Default main html tags include `<main id="main-content>`, <`div role="main>`, and `<article role="main">`. You can also define your own html tags by passing custom_html_tag, e.g. `("div", "class=main")`. The loader iterates html tags with the order of custom html tags (if exists) and default html tags. If any of the tags is not empty, the loop will break and retrieve the content out of that tag. Args: path: The location of pulled readthedocs folder. encoding: The encoding with which to open the documents. errors: Specify how encoding and decoding errors are to be handled—this cannot be used in binary mode. custom_html_tag: Optional custom html tag to retrieve the content from files. patterns: The file patterns to load, passed to `glob.rglob`. exclude_links_ratio: The ratio of links:content to exclude pages from. This is to reduce the frequency at which index pages make their way into retrieved results. Recommended: 0.5 kwargs: named arguments passed to `bs4.BeautifulSoup`. """ try: from bs4 import BeautifulSoup except ImportError: raise ImportError( "Could not import python packages. " "Please install it with `pip install beautifulsoup4`. " ) try: _ = BeautifulSoup( "<html><body>Parser builder library test.</body></html>", "html.parser", **kwargs, ) except Exception as e: raise ValueError("Parsing kwargs do not appear valid") from e self.file_path = Path(path) self.encoding = encoding self.errors = errors self.custom_html_tag = custom_html_tag self.patterns = patterns self.bs_kwargs = kwargs self.exclude_links_ratio = exclude_links_ratio
[docs] def lazy_load(self) -> Iterator[Document]: """A lazy loader for Documents.""" for file_pattern in self.patterns: for p in self.file_path.rglob(file_pattern): if p.is_dir(): continue with open(p, encoding=self.encoding, errors=self.errors) as f: text = self._clean_data(f.read()) yield Document(page_content=text, metadata={"source": str(p)})
def _clean_data(self, data: str) -> str: from bs4 import BeautifulSoup soup = BeautifulSoup(data, "html.parser", **self.bs_kwargs) # default tags html_tags = [ ("div", {"role": "main"}), ("main", {"id": "main-content"}), ] if self.custom_html_tag is not None: html_tags.append(self.custom_html_tag) element = None # reversed order. check the custom one first for tag, attrs in html_tags[::-1]: element = soup.find(tag, attrs) # if found, break if element is not None: break if element is not None and _get_link_ratio(element) <= self.exclude_links_ratio: text = _get_clean_text(element) else: text = "" # trim empty lines return "\n".join([t for t in text.split("\n") if t])
def _get_clean_text(element: Tag) -> str: """Returns cleaned text with newlines preserved and irrelevant elements removed.""" elements_to_skip = [ "script", "noscript", "canvas", "meta", "svg", "map", "area", "audio", "source", "track", "video", "embed", "object", "param", "picture", "iframe", "frame", "frameset", "noframes", "applet", "form", "button", "select", "base", "style", "img", ] newline_elements = [ "p", "div", "ul", "ol", "li", "h1", "h2", "h3", "h4", "h5", "h6", "pre", "table", "tr", ] text = _process_element(element, elements_to_skip, newline_elements) return text.strip() def _get_link_ratio(section: Tag) -> float: links = section.find_all("a") total_text = "".join(str(s) for s in section.stripped_strings) if len(total_text) == 0: return 0 link_text = "".join( str(string.string.strip()) for link in links for string in link.strings if string ) return len(link_text) / len(total_text) def _process_element( element: Union[Tag, NavigableString, Comment], elements_to_skip: List[str], newline_elements: List[str], ) -> str: """ Traverse through HTML tree recursively to preserve newline and skip unwanted (code/binary) elements """ from bs4 import NavigableString from bs4.element import Comment, Tag tag_name = getattr(element, "name", None) if isinstance(element, Comment) or tag_name in elements_to_skip: return "" elif isinstance(element, NavigableString): return element elif tag_name == "br": return "\n" elif tag_name in newline_elements: return ( "".join( _process_element(child, elements_to_skip, newline_elements) for child in element.children if isinstance(child, (Tag, NavigableString, Comment)) ) + "\n" ) else: return "".join( _process_element(child, elements_to_skip, newline_elements) for child in element.children if isinstance(child, (Tag, NavigableString, Comment)) )