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72 lines
2.5 KiB
Python
72 lines
2.5 KiB
Python
#!/usr/bin/env python
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# vim:fileencoding=utf-8
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from __future__ import unicode_literals, division, absolute_import, print_function
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from calibre.web.feeds.news import BasicNewsRecipe
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def classes(classes):
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q = frozenset(classes.split(' '))
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return dict(
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attrs={'class': lambda x: x and frozenset(x.split()).intersection(q)})
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class NewYorkPost(BasicNewsRecipe):
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title = 'New York Post'
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__author__ = 'Darko Miletic'
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description = 'Daily newspaper'
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publisher = 'NYP Holdings, Inc.'
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category = 'news, politics, USA'
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oldest_article = 2
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max_articles_per_feed = 20
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no_stylesheets = True
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encoding = 'utf8'
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use_embedded_content = False
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language = 'en'
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extra_css = ' body{font-family: Arial,Helvetica,sans-serif } img{margin-bottom: 0.4em} '
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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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ignore_duplicate_articles = {'title', 'url'}
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keep_only_tags = [
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dict(itemprop=['headline', 'articleBody']),
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dict(name='h1'),
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classes('byline byline-date source article-info entry-content entry-content-read-more featured-image'),
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]
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remove_tags = [
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dict(itemprop=['sharebar-trigger-desktop', ]),
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classes('floating-share sharedaddy sd-sharing-enabled tag-list module-wrapper'),
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dict(name=['link', 'meta']),
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]
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feeds = [
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('All Stories','https://nypost.com/feed'),
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('News','https://nypost.com/news/feed'),
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('Metro', 'http://nypost.com/metro/feed/'),
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('Business', 'http://nypost.com/business/feed/'),
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('Opinion', 'http://nypost.com/opinion/feed/'),
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('Technology', 'http://nypost.com/tech/feed/'),
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('Media', 'http://nypost.com/media/feed/'),
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('Entertainment', 'http://nypost.com/entertainment/feed/'),
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('Living', 'http://nypost.com/living/feed/'),
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('Page 6', 'http://pagesix.com/feed/'),
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]
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def print_version(self, url):
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return url.replace('nypost.com/p/', 'nypost.com/f/print/')
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def preprocess_html(self, soup):
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for img in soup.findAll('img', attrs={'data-srcset': True}):
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img['src'] = img['data-srcset'].split()[0]
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for pic in soup.findAll('picture'):
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source = pic.find('source', srcset=True)
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if source is not None:
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img = pic.find('img')
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if img is not None:
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img['src'] = source['srcset'].split()[0]
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for source in pic.findAll('source'):
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source.extract()
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return soup
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