Datasets:
Upload scripts/MDNClean.py with huggingface_hub
Browse files- scripts/MDNClean.py +111 -0
scripts/MDNClean.py
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import asyncio
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import pathlib
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import re
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import markdownify
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from markdownify import chomp
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import urllib.parse
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import orjson
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import tqdm
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import typer
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import httpx
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from bs4 import BeautifulSoup, Tag
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app = typer.Typer()
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class MDNConverter(markdownify.MarkdownConverter):
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def convert_a(self, el, text, convert_as_inline):
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prefix, suffix, text = chomp(text)
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if not text:
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return ""
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return "%s%s%s" % (prefix, text, suffix)
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def convert_pre(self, el:Tag, text, convert_as_inline):
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if not text:
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return ''
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code_language = self.options['code_language']
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#
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if el.previous_sibling and el.previous_sibling.name and el.previous_sibling.name == "div":
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if "example-header" in el.previous_sibling.get("class",[]):
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code_language = el.previous_sibling.find('span').get_text()
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el.previous_sibling.decompose()
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# if self.options['code_language_callback']:
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# code_language = self.options['code_language_callback'](el) or code_language
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return '\n```%s\n%s\n```\n' % (code_language, text)
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inst = MDNConverter()
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rgx = re.compile(r"(.+)\n```\1")
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def quote_fx(matchobj):
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return f"\n```{matchobj.group(1)}"
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def soup_processor(soup:BeautifulSoup):
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base_article = soup.select_one("main#content > article")
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[script.decompose() for script in base_article.find_all("script")]
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if not base_article:
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return None
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mod_time = base_article.find("aside",attrs={"class":"metadata"})
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if mod_time:
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mod_time.decompose()
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hydro = base_article.select_one("#hydration")
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if hydro:
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hydro.decompose()
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r = inst.convert_soup(base_article).replace("\n\n\n\n","\n\n").replace("\n\n\n","\n\n")
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r = rgx.sub(quote_fx, r).replace("\n \n","\n\n").replace("\n\n```\n","\n```\n\n").rstrip().replace("\t"," ")
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data = {"title":soup.find("title").get_text().split("|")[0].strip(),"text":r}
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return data
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@app.command()
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def clean(root:pathlib.Path, output_jsonl:pathlib.Path):
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with open(output_jsonl.resolve(),"wb") as f:
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for file in root.rglob("*.html"):
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if file.is_file() and "docs/MDN/" not in str(file):
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soup = BeautifulSoup(file.read_text(encoding="utf-8"),"lxml")
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print(file)
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r = soup_processor(soup)
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f.write(orjson.dumps(r)+b"\n")
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async def async_executor(urls:list[str], root:pathlib.Path):
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sem = asyncio.Semaphore(64)
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client = httpx.AsyncClient(timeout=None)
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client.headers["user-agent"] = "curl/7.54.1 (compatible; kinda like curl) " + client.headers["user-agent"] + " mdncrawl/1.0.0 (SiteMap Crawling; +shinon@recursal.ai; Contact if bot errors.)"
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pbar = tqdm.tqdm()
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async def url_executor(url:str):
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pth = urllib.parse.urlparse(url).path[1:]
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url_write = (root / pth).resolve()
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# print(url_write)
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url_write.parent.mkdir(exist_ok=True,parents=True)
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async with sem:
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response = await client.get(url)
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if response.status_code == 200:
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if url_write.suffix != ".html":
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url_write = url_write.with_suffix(f"{url_write.suffix}.html")
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url_write.write_bytes(response.content)
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pbar.update(1)
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else:
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print(response.status_code)
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loop = asyncio.get_running_loop()
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workers = [loop.create_task(url_executor(url)) for url in urls]
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await asyncio.gather(*workers)
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pass
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@app.command()
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def sitemap(xml_file:pathlib.Path, root:pathlib.Path):
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root = root.resolve()
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soup = BeautifulSoup(xml_file.read_text(encoding="utf-8"), "xml")
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urls = [i.get_text() for i in soup.find_all("loc")]
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# print(urls)
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asyncio.run(async_executor(urls, root))
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if __name__ == "__main__":
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app()
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