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Merge branch 'master' of https://github.com/unkn0w7n/calibre
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commit
7e5f328fc3
@ -18,9 +18,7 @@ class NewYorker(BasicNewsRecipe):
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title = "The New Yorker Magazine"
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description = "Articles of the week's New Yorker magazine"
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url_list = []
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language = 'en'
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language = 'en_US'
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__author__ = 'Kovid Goyal'
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no_stylesheets = True
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timefmt = ' [%b %d]'
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@ -49,15 +47,6 @@ class NewYorker(BasicNewsRecipe):
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]
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remove_attributes = ['style']
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def __init__(self, *args, **kwargs):
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BasicNewsRecipe.__init__(self, *args, **kwargs)
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if self.output_profile.short_name.startswith('kindle'):
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# Reduce image sizes to get file size below amazon's email
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# sending threshold
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self.web2disk_options.compress_news_images = True
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self.web2disk_options.compress_news_images_auto_size = 5
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self.log.warn('Kindle Output profile being used, reducing image quality to keep file size below amazon email threshold')
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def preprocess_html(self, soup):
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w = '/w_320' # use '/w_640' for highres
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for img in soup.findAll('img'):
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@ -1,6 +1,3 @@
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import json
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import re
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from calibre.web.feeds.news import BasicNewsRecipe, classes
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@ -18,68 +15,57 @@ class outlook(BasicNewsRecipe):
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remove_attributes = ['height', 'width', 'style']
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ignore_duplicate_articles = {'url'}
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resolve_internal_links = True
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masthead_url = 'https://images.assettype.com/outlookindia/2024-02/96fb06ce-1cc8-410e-ad6c-da4de57405f8/Outlook.svg'
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extra_css = '''
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.story-summary{font-style:italic; color:#202020;}
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.author_wrapper, .relatedCategory{font-size:small; color:#404040;}
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#figcap{font-size:small; text-align:center;}
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.subcap-story {font-style:italic; color:#202020;}
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.story-slug, .article-name-date {font-size:small; color:#404040;}
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.main-img-div, .sb-image {font-size:small; text-align:center;}
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em { color:#202020; }
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'''
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keep_only_tags = [classes('__story_detail')]
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keep_only_tags = [
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# classes('story-slug story-title subcap-story article-name-date main-img-div sb-article')
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classes('story-slug story-title subcap-story article-name-date w-93')
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]
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remove_tags = [
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classes(
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'social_sharing_article left_trending left-sticky __tag_links next_prev_stories '
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'downarrow uparrow more_from_author_links next prev __related_stories_thumbs home_ad_title'
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)
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dict(name='svg'),
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dict(name='a', attrs={'href':lambda x: x and x.startswith('https://www.whatsapp.com/')}),
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classes('ads-box info-img-absolute mobile-info-id story-dec-time-mobile')
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]
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def get_browser(self):
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return BasicNewsRecipe.get_browser(self, user_agent='common_words/based', verify_ssl_certificates=False)
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def parse_index(self):
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self.log(
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'\n***\nif this recipe fails, report it on: '
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'https://www.mobileread.com/forums/forumdisplay.php?f=228\n***\n'
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)
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soup = self.index_to_soup('https://www.outlookindia.com/magazine')
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div = soup.find('div', attrs={'class':'wrapper'})
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a = div.find('a', href=lambda x: x and x.startswith('/magazine/issue/'))
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a = soup.find('a', attrs={'aria-label':'magazine-cover-image'})
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self.cover_url = a.img['src'].split('?')[0]
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url = a['href']
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self.timefmt = ' [' + self.tag_to_string(a.find('p')).strip() + ']'
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self.description = self.tag_to_string(a)
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self.timefmt = ' [' + self.tag_to_string(a.div).strip() + ']'
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self.log('Downloading issue:', url, self.timefmt)
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soup = self.index_to_soup('https://www.outlookindia.com' + url)
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cover = soup.find(**classes('listingPage_lead_story'))
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self.cover_url = cover.find('img', attrs={'src': True})['src']
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soup = self.index_to_soup(url)
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ans = []
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for h3 in soup.findAll(['h3', 'h4'],
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attrs={'class': 'tk-kepler-std-condensed-subhead'}):
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a = h3.find('a', href=True)
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for div in soup.findAll(attrs={'class': 'article-heading-two'}):
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a = div.a
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url = a['href']
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title = self.tag_to_string(a)
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desc = ''
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p = h3.find_next_sibling('p')
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p = div.find_next_sibling('p', attrs={'class':lambda x: x and 'article-desc' in x.split()})
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if p:
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desc = self.tag_to_string(p)
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auth = div.find_next_sibling('p', attrs={'class':'author'})
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if auth:
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desc = self.tag_to_string(auth) + ' | ' + desc
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self.log('\t', title)
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self.log('\t', desc)
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self.log('\t\t', url)
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ans.append({'title': title, 'url': url, 'description': desc})
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return [('Articles', ans)]
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def preprocess_html(self,soup):
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for fig in soup.findAll('figure'):
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fig['id'] = 'figcap'
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return soup
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def preprocess_raw_html(self, raw, *a):
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return raw
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m = re.search('<!-- NewsArticle Schema -->.*?script.*?>', raw, flags=re.DOTALL)
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raw = raw[m.end():].lstrip()
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data = json.JSONDecoder().raw_decode(raw)[0]
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title = data['headline']
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body = data['articleBody']
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body = body.replace('\r\n', '<p>')
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author = ' and '.join(x['name'] for x in data['author'])
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image = desc = ''
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if data.get('image'):
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image = '<p><img src="{}">'.format(data['image']['url'])
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if data.get('description'):
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desc = '<h2>' + data['description'] + '</h2>'
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html = '<html><body><h1>' + title + '</h1>' + desc + '<h3>' + author + '</h3>' + image + '<p>' + body
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return html
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