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feat: ReadabilityWebPageReader add normalize func and custom TextSplitter (#138)

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Pandazki 2023-03-27 09:23:33 +08:00 committed by GitHub
parent f29c41c8de
commit d0185fc543
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1 changed files with 22 additions and 3 deletions
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25
loader_hub/web/readability_web/base.py
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@ -1,8 +1,10 @@
from typing import Dict, List, Literal, Optional, Any, cast
from typing import Callable, Dict, List, Literal, Optional, Any, cast
from llama_index.readers.base import BaseReader
from llama_index.readers.schema.base import Document
from llama_index.langchain_helpers.text_splitter import TextSplitter
import unicodedata
from pathlib import Path
path = Path(__file__).parent / "Readability.js"
@ -21,6 +23,8 @@ inject_readability = f"""
}}())
"""
def nfkc_normalize(text: str) -> str:
return unicodedata.normalize('NFKC', text)
class ReadabilityWebPageReader(BaseReader):
"""Readability Webpage Loader
@ -34,11 +38,16 @@ class ReadabilityWebPageReader(BaseReader):
Args:
proxy (Optional[str], optional): Proxy server. Defaults to None.
wait_until (Optional[Literal["commit", "domcontentloaded", "load", "networkidle"]], optional): Wait until the page is loaded. Defaults to "domcontentloaded".
text_splitter (TextSplitter, optional): Text splitter. Defaults to None.
normalizer (Optional[Callable[[str], str]], optional): Text normalizer. Defaults to nfkc_normalize.
"""
def __init__(self, proxy: Optional[str] = None, wait_until: Optional[
Literal["commit", "domcontentloaded", "load", "networkidle"]
] = "domcontentloaded") -> None:
] = "domcontentloaded",
text_splitter: Optional[TextSplitter] = None,
normalize: Optional[Callable[[str], str]] = nfkc_normalize
) -> None:
self._launch_options = {
"headless": True,
}
@ -47,6 +56,8 @@ class ReadabilityWebPageReader(BaseReader):
self._launch_options["proxy"] = {
"server": proxy,
}
self._text_splitter = text_splitter
self._normalize = normalize
def load_data(self, url: str) -> List[Document]:
"""render and load data content from url.
@ -77,9 +88,17 @@ class ReadabilityWebPageReader(BaseReader):
"siteName",
]}
if self._normalize is not None:
article["textContent"] = self._normalize(article["textContent"])
texts = []
if self._text_splitter is not None:
texts = self._text_splitter.split_text(article["textContent"])
else:
texts = [article["textContent"]]
browser.close()
return [Document(article["textContent"], extra_info=extra_info)]
return [Document(x, extra_info=extra_info) for x in texts]
def scrape_page(
self,