我正在制作一个脚本,它获取近 20 000 个页面的 HTML 并对其进行解析以获取其中的一部分。我设法使用 asyncio 和 aiohttp 通过异步请求在数据框中获取了 20 000 个页面的内容,但该脚本仍然等待所有页面被提取以解析它们。async def get_request(session, url, params=None): async with session.get(url, headers=HEADERS, params=params) as response: return await response.text()async def get_html_from_url(urls): tasks = [] async with aiohttp.ClientSession() as session: for url in urls: tasks.append(get_request(session, url)) html_page_response = await asyncio.gather(*tasks) return html_page_responsehtml_pages_list = asyncio_loop.run_until_complete(get_html_from_url(urls))一旦我获得了每个页面的内容,我就设法使用多处理的池来并行化解析。get_whatiwant_from_html(html_content): parsed_html = BeautifulSoup(html_content, "html.parser") clean = parsed_html.find("div", class_="class").get_text() # Some re.subs clean = re.sub("", "", clean) clean = re.sub("", "", clean) clean = re.sub("", "", clean) return cleanpool = Pool(4)what_i_want = pool.map(get_whatiwant_from_html, html_content_list)这段代码异步混合了获取和解析,但我想将多处理集成到其中:async def process(url, session): html = await getRequest(session, url) return await get_whatiwant_from_html(html)async def dispatch(urls): async with aiohttp.ClientSession() as session: coros = (process(url, session) for url in urls) return await asyncio.gather(*coros)result = asyncio.get_event_loop().run_until_complete(dispatch(urls))有什么明显的方法可以做到这一点吗?我想过创建 4 个进程,每个进程都运行异步调用,但实现看起来有点复杂,我想知道是否有另一种方法。我对 asyncio 和 aiohttp 很陌生,所以如果你有什么建议我阅读以更好地理解,我会很高兴。
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