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langchain/libs/community/langchain_community/document_loaders/readthedocs.py

219 lines
6.7 KiB
Python

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
class ReadTheDocsLoader(BaseLoader):
"""Load `ReadTheDocs` documentation directory."""
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
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))
)