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#1 |
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HTTP/3 support?
I see that mechanize doesn't support htttp3 requests yet.
Is it possible to do this some other way? |
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#2 |
creator of calibre
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You can use the read_url() function from scraper/simple.py
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#3 |
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how do i set custom headers.
I think I'll have to learn a bit about qt, and try these things. Also we will still use mechanize when downloading images after processing html content, that I got with read_url in get_obfuscated.. so they'll also fail |
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#4 |
creator of calibre
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What server supports HTTP/3 but not HTTP 1.1? The general solution for this is to create a new recipe class that uses a QtWebEngine as the browser. This however is a long project, instead if you need to just do a quick hack, override get_browser() in your recipe to return self. Then implement the open method in your recipe. These will be used by the fetcher to download anything including images.
Code:
def open(self, url): return read_url(self.storage, url) # here self.storage should be a list created in the __init__ method of your recipe |
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#5 |
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this is the reicpe.
(science magazine, was requested here) got a 403 error.. It could be accessed with read_url. The below recipe works but images fail with 403. Code:
#!/usr/bin/env python from calibre.scraper.simple import read_url from calibre.web.feeds.news import BasicNewsRecipe, classes from calibre.ebooks.BeautifulSoup import BeautifulSoup def absurl(url): if url.startswith('/'): url = 'https://www.science.org' + url return url class science(BasicNewsRecipe): title = 'Science Journal' __author__ = 'unkn0wn' description = ( 'Science continues to publish the very best in research across the sciences, with articles that ' 'consistently rank among the most cited in the world.' ) encoding = 'utf-8' no_javascript = True no_stylesheets = True remove_attributes = ['style', 'height', 'width'] language = 'en' extra_css = ''' .news-article__figure__caption {font-size:small; text-align:center;} .contributors, .core-self-citation, .meta-panel__left-content, .news-article__hero__top-meta, .news-article__hero__bottom-meta, #bibliography, #elettersSection {font-size:small;} img {display:block; margin:0 auto;} .core-lede {font-style:italic; color:#202020;} ''' ignore_duplicate_articles = {'url'} def preprocess_html(self, soup): for p in soup.findAll(attrs={'role':'paragraph'}): p.name = 'p' return soup keep_only_tags = [ classes('meta-panel__left-content news-article__hero__info news-article__hero__figure bodySection'), dict(name='h1', attrs={'property':'name'}), classes('core-lede contributors core-self-citation'), dict(attrs={'data-core-wrapper':'content'}) ] remove_tags = [ classes('pb-ad') ] articles_are_obfuscated = True def get_obfuscated_article(self, url): return { 'data': read_url([], url), 'url': url } def parse_index(self): url = 'https://www.science.org/toc/science/current' soup = BeautifulSoup(read_url([], url)) tme = soup.find(**classes('journal-issue__vol')) if tme: self.timefmt = ' [%s]' % self.tag_to_string(tme).strip() det = soup.find(attrs={'id':'journal-issue-details'}) if det: self.description = self.tag_to_string(det).strip() feeds = [] div = soup.find('div', attrs={'class':'toc__body'}) for sec in div.findAll('section', **classes('toc__section')): name = sec.find(**classes('sidebar-article-title--decorated')) section = self.tag_to_string(name).strip() self.log(section) articles = [] for card in sec.findAll(**classes('card-header')): ti = card.find(**classes('article-title')) url = absurl(ti.a['href']) title = self.tag_to_string(ti).strip() desc = '' meta = card.find(**classes('card-meta')) if meta: desc = self.tag_to_string(meta).strip() self.log(' ', title, '\n\t', desc, '\n\t', url) articles.append({'title': title, 'description':desc, 'url': url}) feeds.append((section, articles)) return feeds should i've not used index_to_soup with read_url File "<string>", line 66, in parse_index File "calibre\web\feeds\news.py", line 731, in index_to_soup TypeError: science.open() got an unexpected keyword argument 'timeout' Last edited by unkn0wn; 07-26-2024 at 03:52 AM. |
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#6 |
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Something like this (untested)
Code:
#!/usr/bin/env python import threading from io import BytesIO from calibre.ebooks.BeautifulSoup import BeautifulSoup from calibre.scraper.simple import read_url from calibre.web.feeds.news import BasicNewsRecipe, classes def absurl(url): if url.startswith('/'): url = 'https://www.science.org' + url return url class Response(BytesIO): def __init__(self, url, text): super().__init__(text.encode('utf-8')) self.url = url def geturl(self): return self.url class Browser: def __init__(self, local): self.thread_local = local self.thread_local.storage = [] def open(self, url, *a, **kw): return Response(read_url(self.thread_local.storage, url), url) open_novisit = open class science(BasicNewsRecipe): title = 'Science Journal' __author__ = 'unkn0wn' description = ( 'Science continues to publish the very best in research across the sciences, with articles that ' 'consistently rank among the most cited in the world.' ) encoding = 'utf-8' no_javascript = True no_stylesheets = True remove_attributes = ['style', 'height', 'width'] language = 'en' simultaneous_downloads = 1 extra_css = ''' .news-article__figure__caption {font-size:small; text-align:center;} .contributors, .core-self-citation, .meta-panel__left-content, .news-article__hero__top-meta, .news-article__hero__bottom-meta, #bibliography, #elettersSection {font-size:small;} img {display:block; margin:0 auto;} .core-lede {font-style:italic; color:#202020;} ''' ignore_duplicate_articles = {'url'} keep_only_tags = [ classes('meta-panel__left-content news-article__hero__info news-article__hero__figure bodySection'), dict(name='h1', attrs={'property':'name'}), classes('core-lede contributors core-self-citation'), dict(attrs={'data-core-wrapper':'content'}) ] remove_tags = [ classes('pb-ad') ] def __init__(self, *a, **kw): self.thread_local = threading.local() super().__init__(*a, **kw) def get_browser(self, *a, **kw): return Browser(self.thread_local) def preprocess_html(self, soup): for p in soup.findAll(attrs={'role':'paragraph'}): p.name = 'p' return soup def parse_index(self): url = 'https://www.science.org/toc/science/current' soup = BeautifulSoup(read_url([], url)) tme = soup.find(**classes('journal-issue__vol')) if tme: self.timefmt = ' [%s]' % self.tag_to_string(tme).strip() det = soup.find(attrs={'id':'journal-issue-details'}) if det: self.description = self.tag_to_string(det).strip() feeds = [] div = soup.find('div', attrs={'class':'toc__body'}) for sec in div.findAll('section', **classes('toc__section')): name = sec.find(**classes('sidebar-article-title--decorated')) section = self.tag_to_string(name).strip() self.log(section) articles = [] for card in sec.findAll(**classes('card-header')): ti = card.find(**classes('article-title')) url = absurl(ti.a['href']) title = self.tag_to_string(ti).strip() desc = '' meta = card.find(**classes('card-meta')) if meta: desc = self.tag_to_string(meta).strip() self.log(' ', title, '\n\t', desc, '\n\t', url) articles.append({'title': title, 'description':desc, 'url': url}) feeds.append((section, articles)) return feeds |
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#7 |
creator of calibre
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actually that wont work read_url() currently is only meant for HTML files not binary data.
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#8 |
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hmmm
![]() I'll just ignore the missing images and put up recipes then. It has like 4 sub-publications, that could work with the same code. |
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#9 |
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I suggest you wait a little I might have some time to implement a proper solution in the next weke or two
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#10 |
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