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77 lines
2.7 KiB
Python
77 lines
2.7 KiB
Python
'''
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rt.com
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'''
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from calibre.web.feeds.news import BasicNewsRecipe, classes
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class RT_eng(BasicNewsRecipe):
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title = 'Russia Today'
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__author__ = 'unkn0wn'
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description = '''
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RT creates news with an edge for viewers who want to Question More. RT covers stories overlooked by the mainstream
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media, provides alternative perspectives on current affairs, and acquaints international audiences with a Russian
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viewpoint on major global events.
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'''
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publisher = 'Autonomous Nonprofit Organization "TV-Novosti"'
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category = 'news, politics, economy, finances, Russia, world'
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oldest_article = 1.2
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no_stylesheets = True
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encoding = 'utf-8'
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ignore_duplicate_articles = {'url', 'title'}
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use_embedded_content = False
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remove_empty_feeds = True
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remove_javascript = True
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language = 'en'
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remove_attributes = ['height', 'width', 'style']
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publication_type = 'newsportal'
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extra_css = '''
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img {display:block; margin:0 auto;}
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em { color:#202020; }
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.date { font-size:small; color:#404040; }
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.article__summary { font-style:italic; color:#202020; }
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.media__footer { font-size:small; text-align:center; }
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'''
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conversion_options = {
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'comment': description, 'tags': category, 'publisher': publisher, 'language': language
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}
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keep_only_tags = [
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dict(name='div', attrs={'class':'article'})
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]
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remove_tags = [
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dict(name=['meta', 'link', 'svg', 'button', 'style', 'iframe', 'noscript']),
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classes(
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'update_date_visible breadcrumbs read-more Read-more-text-only article__share '
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'article__social-wrapper article__share_bottom'
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)
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]
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feeds = [
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('Russia', 'https://www.rt.com/rss/russia/'),
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('India', 'https://www.rt.com/rss/india/'),
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('Africa', 'https://www.rt.com/rss/africa/'),
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('World News', 'https://www.rt.com/rss/news/'),
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('Business', 'https://www.rt.com/rss/business/'),
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('Opinion', 'https://www.rt.com/rss/op-ed/'),
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('Culture', 'https://www.rt.com/rss/pop-culture/'),
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('Others', 'https://www.rt.com/rss/')
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]
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def get_article_url(self, article):
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url = BasicNewsRecipe.get_article_url(self, article)
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return url.split('?')[0]
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def preprocess_html(self, soup):
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for img in soup.findAll('img'):
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srcset = img.find_previous_sibling('source', attrs={'data-srcset':True})
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if srcset:
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for x in srcset['data-srcset'].split(','):
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if '/l/' in x.split()[0].strip():
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img['src'] = x.split()[0].strip()
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for src in soup.findAll('source'):
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src.decompose()
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return soup
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