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			116 lines
		
	
	
		
			4.8 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			116 lines
		
	
	
		
			4.8 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
#!/usr/bin/env python
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from calibre.web.feeds.news import BasicNewsRecipe, classes
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def absurl(url):
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    if url.startswith('/'):
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        url = 'https://www.science.org' + url
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    return url
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class scienceadv(BasicNewsRecipe):
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    title = 'Science Robotics'
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    __author__ = 'unkn0wn'
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    description = (
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        'Science Robotics provides a much-needed forum for the latest technological advances and for the critical social, ethical '
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        'and policy issues surrounding robotics. Science Robotics caters to both researchers and general stakeholders. It is multidisciplinary, '
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        'covering the traditional disciplines of robotics, as well as emerging trends such as advanced materials and bio-inspired designs; it covers '
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        'all scales, from very large systems to micro/nano robots; its scope is broad, addressing both theoretical advances and practical applications.'
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    )
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    encoding = 'utf-8'
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    no_javascript = True
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    no_stylesheets = True
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    remove_attributes = ['style', 'height', 'width']
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    masthead_url = 'https://www.science.org/pb-assets/images/logos/scirobotics-logo-1620488350107.svg'
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    language = 'en'
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    simultaneous_downloads = 1
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    browser_type = 'webengine'
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    extra_css = '''
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        .news-article__figure__caption, .figc {font-size:small;}
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        .core-self-citation, .meta-panel__left-content, .news-article__hero__top-meta {font-size:small;}
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        .contributors, .news-article__hero__bottom-meta, #bibliography, #elettersSection {font-size:small;}
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        img {display:block; margin:0 auto;}
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        .core-lede {font-style:italic; color:#202020;}
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    '''
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    ignore_duplicate_articles = {'url'}
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    keep_only_tags = [
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        classes('meta-panel__left-content news-article__hero__info news-article__hero__figure bodySection'),
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        dict(name='h1', attrs={'property':'name'}),
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        dict(name='div', **classes('core-lede contributors core-self-citation')),
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        dict(attrs={'data-core-wrapper':'content'})
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    ]
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    remove_tags = [
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        classes('pb-ad news-article__hero__scroller news-article__version-of-story')
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    ]
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    recipe_specific_options = {
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        'issue': {
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            'short': 'Enter the Issue Number you want to download\n(Vol/Issue format)',
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            'long': 'For example, 385/6710',
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            'default': 'current'
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        },
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        'res': {
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            'short': 'For hi-res images, select a resolution from the\nfollowing options: 800, 1000, 1200 or 1500',
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            'long': 'This is useful for non e-ink devices, and for a lower file size\nthan the default, use 400 or 300.',
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            'default': '600'
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        }
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    }
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    def preprocess_html(self, soup):
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        for p in soup.findAll(attrs={'role':'paragraph'}):
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            p.name = 'p'
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            p.attrs = {}
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        for img in soup.findAll('img', attrs={'src':True}):
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            if img['src'].endswith('.jpg'):
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                res = '/cdn-cgi/image/width=600'
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                w = self.recipe_specific_options.get('res')
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                if w and isinstance(w, str):
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                    res = '/cdn-cgi/image/width=' + w
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                img['src'] = absurl(res + img['src'])
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        for figc in soup.findAll('figcaption'):
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            figc['class'] = 'figc'
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        return soup
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    def parse_index(self):
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        issue_url = 'https://www.science.org/toc/scirobotics/current'
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        d = self.recipe_specific_options.get('issue')
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        if d and isinstance(d, str):
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            issue_url = 'https://www.science.org/toc/scirobotics/' + d
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        soup = self.index_to_soup(issue_url)
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        tme = soup.find(**classes('journal-issue__vol'))
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        if tme:
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            self.timefmt = ' [%s]' % self.tag_to_string(tme).strip().replace('|', ' | ')
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        det = soup.find(attrs={'id':'journal-issue-details'})
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        if det:
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            self.description = self.tag_to_string(det).strip()
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        cov = soup.find(**classes('cover-image__image'))
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        if cov:
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            self.cover_url = absurl('/cdn-cgi/image/width=800' + cov.img['src'])
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        feeds = []
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        for sec in soup.findAll('section', **classes('toc__section')):
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            name = sec.find(**classes('sidebar-article-title--decorated'))
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            section = self.tag_to_string(name).strip()
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            self.log(section)
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            articles = []
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            for card in sec.findAll(**classes('card-header')):
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                ti = card.find(**classes('article-title'))
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                url = absurl(ti.a['href'])
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                title = self.tag_to_string(ti).strip()
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                desc = ''
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                meta = card.find(**classes('card-meta'))
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                if meta:
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                    desc = self.tag_to_string(meta).strip()
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                self.log('            ', title, '\n\t', desc, '\n\t\t', url)
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                articles.append({'title': title, 'description':desc, 'url': url})
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            feeds.append((section, articles))
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        return feeds
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